A Data-Driven Approach to Balance Delivery Agility with Business Risk
While there are many ways to define and measure Technical Debt, one thing is clear—it has been growing exponentially as maintenance is starved and development teams are forced to cut corners to meet increasingly unrealistic delivery schedules. CAST clearly defines Technical Debt as the cost of fixing the structural quality problems in an application that, if left unfixed, are highly likely to cause major disruption and put the business at serious risk. Once Technical Debt is measured, it can be juxtaposed with the business value of applications to inform critical tradeoffs between delivery agility and business risk.
A proposed framework for Agile Roadmap Design and MaintenanceJérôme Kehrli
Maintaining a relevant and meaningful roadmap while adopting a state of the art Agile methodology is challenging and somewhat antonymous.
This presentation proposes a framework for designing and maintaining an Agile Roadmap.
Leading a large-scale agile transformation isn’t about adopting a new set of attitudes, processes, and behaviors at the team level… it’s about helping your company deliver faster to market, and developing the ability to respond to a rapidly-changing competitive landscape. First and foremost, it’s about achieving business agility. Business agility comes from people having clarity of purpose, a willingness to be held accountable, and the ability to achieve measurable outcomes. Unfortunately, almost everything in modern organizations gets in the way of teams acting with any sort of autonomy. In most companies, achieving business agility requires significant organizational change. Join @Mike Cottmeyer live from #Agile2017 during this workshop.
Waterfall vs Agile : A Beginner's Guide in Project ManagementJonathan Donado
The document compares the Waterfall and Agile project management methodologies. Waterfall follows a sequential design process with distinct stages and heavy documentation, while Agile uses short iterative cycles, embraces change, and values team collaboration and customer feedback. Some advantages of Waterfall are its structure and clear expectations, while disadvantages include inflexibility. Agile allows for changes and prioritizes delivering working software frequently for customer input, though the dynamic process may lack formal planning. The document recommends selecting the methodology based on the project's needs and characteristics.
DOES16 London - Pat Reed - Mind the GAAP: A Playbook for Agile AccountingGene Kim
Mind the GAAP: A Playbook for Agile Accounting
Pat Reed, Principal Consultant, iHoriz Inc.
With disruptive technology advances, software assets play an increasingly important role in creating competitive advantage through effectively managing business software assets.
As organizations leverage agile practices to deliver better customer value faster, they consistently fall into process traps that block success because agile labor cost accounting is misunderstood and misreported, impacting taxation, higher volatility in Profit and Loss (P&L) statements, and sometimes even dramatic, unnecessary staff cuts in an economy where talent retention is vital to innovation.
This session shares a practical playbook to avoid common pitfalls and gain awareness of what you can do to evolve accounting and reporting practices to leverage the financial advantage of agile and benefit from the significantly increased tax savings and bottomline benefits available with agile capitalization.
This session will unravel the pitfalls and benefits of agile capitalization and explain how to appropriately interpret and apply generally accepted accounting standard (GAAP SOP 98-1 and ASC 350-40) so your organization can increase its agile adoption to deliver more business value faster to customers.
DevOps Enterprise Summit London 2016
Learn to do Primary Market Research: Interviews and SurveysElaine Chen
This talk is an interactive workshop with live demonstrations and simulations. Participants will practice their interview skills as well as on-line survey design skills and learn from each other in the workshop. Novices and veterans alike will gain new skills in a group setting.
This document discusses using Kanban for project portfolio management. Some key points:
1) Traditional portfolio management relies on annual budgets, detailed planning, and fixed scope/costs which creates rigidity and reduces options. Kanban advocates for a more adaptive, value-driven approach.
2) The core Kanban practices - visualize workflow, limit work-in-progress, measure and manage flow, etc. - can be applied at the portfolio level to surface bottlenecks and continuously improve.
3) Visualizing the portfolio on boards helps understand demand, capacity, and flow. Limiting WIP by priority, team capacity, and other factors improves options and ability to finish work.
4) Kanban portfolio
From insight to idea, to implementation.
Design Thinking helps us create value-driven innovation.
Lean UX secures success through testing and iterations.
These key ingredients make up a winning combination.
Lillian Ayla Ersoy, BEKK
This document outlines the steps and activities for a 3-hour design thinking sprint workshop. The workshop involves understanding user problems through interviews and personas, defining the key problem, ideating potential solutions, prototyping top ideas, and testing prototypes with users. Participants will work individually and in groups on each step, with the overall goal of developing solutions to address an identified user problem.
A proposed framework for Agile Roadmap Design and MaintenanceJérôme Kehrli
Maintaining a relevant and meaningful roadmap while adopting a state of the art Agile methodology is challenging and somewhat antonymous.
This presentation proposes a framework for designing and maintaining an Agile Roadmap.
Leading a large-scale agile transformation isn’t about adopting a new set of attitudes, processes, and behaviors at the team level… it’s about helping your company deliver faster to market, and developing the ability to respond to a rapidly-changing competitive landscape. First and foremost, it’s about achieving business agility. Business agility comes from people having clarity of purpose, a willingness to be held accountable, and the ability to achieve measurable outcomes. Unfortunately, almost everything in modern organizations gets in the way of teams acting with any sort of autonomy. In most companies, achieving business agility requires significant organizational change. Join @Mike Cottmeyer live from #Agile2017 during this workshop.
Waterfall vs Agile : A Beginner's Guide in Project ManagementJonathan Donado
The document compares the Waterfall and Agile project management methodologies. Waterfall follows a sequential design process with distinct stages and heavy documentation, while Agile uses short iterative cycles, embraces change, and values team collaboration and customer feedback. Some advantages of Waterfall are its structure and clear expectations, while disadvantages include inflexibility. Agile allows for changes and prioritizes delivering working software frequently for customer input, though the dynamic process may lack formal planning. The document recommends selecting the methodology based on the project's needs and characteristics.
DOES16 London - Pat Reed - Mind the GAAP: A Playbook for Agile AccountingGene Kim
Mind the GAAP: A Playbook for Agile Accounting
Pat Reed, Principal Consultant, iHoriz Inc.
With disruptive technology advances, software assets play an increasingly important role in creating competitive advantage through effectively managing business software assets.
As organizations leverage agile practices to deliver better customer value faster, they consistently fall into process traps that block success because agile labor cost accounting is misunderstood and misreported, impacting taxation, higher volatility in Profit and Loss (P&L) statements, and sometimes even dramatic, unnecessary staff cuts in an economy where talent retention is vital to innovation.
This session shares a practical playbook to avoid common pitfalls and gain awareness of what you can do to evolve accounting and reporting practices to leverage the financial advantage of agile and benefit from the significantly increased tax savings and bottomline benefits available with agile capitalization.
This session will unravel the pitfalls and benefits of agile capitalization and explain how to appropriately interpret and apply generally accepted accounting standard (GAAP SOP 98-1 and ASC 350-40) so your organization can increase its agile adoption to deliver more business value faster to customers.
DevOps Enterprise Summit London 2016
Learn to do Primary Market Research: Interviews and SurveysElaine Chen
This talk is an interactive workshop with live demonstrations and simulations. Participants will practice their interview skills as well as on-line survey design skills and learn from each other in the workshop. Novices and veterans alike will gain new skills in a group setting.
This document discusses using Kanban for project portfolio management. Some key points:
1) Traditional portfolio management relies on annual budgets, detailed planning, and fixed scope/costs which creates rigidity and reduces options. Kanban advocates for a more adaptive, value-driven approach.
2) The core Kanban practices - visualize workflow, limit work-in-progress, measure and manage flow, etc. - can be applied at the portfolio level to surface bottlenecks and continuously improve.
3) Visualizing the portfolio on boards helps understand demand, capacity, and flow. Limiting WIP by priority, team capacity, and other factors improves options and ability to finish work.
4) Kanban portfolio
From insight to idea, to implementation.
Design Thinking helps us create value-driven innovation.
Lean UX secures success through testing and iterations.
These key ingredients make up a winning combination.
Lillian Ayla Ersoy, BEKK
This document outlines the steps and activities for a 3-hour design thinking sprint workshop. The workshop involves understanding user problems through interviews and personas, defining the key problem, ideating potential solutions, prototyping top ideas, and testing prototypes with users. Participants will work individually and in groups on each step, with the overall goal of developing solutions to address an identified user problem.
I normally teach Introduction to Agile and Scrum over a 2 day session to teams. Here is a highly condensed 2-hour version of it that covers agile thinking and introduces scrum as a framework without getting into details.
I use it as a course material for teaching to teams or groups looking to get a perspective on "why" as opposed to "how" aspect of agile.
Ever wonder why Agile teams swear by relative estimation? My teams improved sprint planning efforts by a factor or 3, once we started using relative estimation.
Without understanding Agile relative estimation, teams tend to fall back to using time-based methods. This often leads them to spend way too much time on obsolete estimates that will be made even more complex with all the unknowns and constant emergent requirements of an Agile world!
“It's better to be roughly right, than precisely wrong!”
~ John Maynard Keyenes
The Solution is simple: understand that relative estimation is only a rough order of magnitude estimate to quickly organize the product backlog. This empowers your product owners (PO) to quickly make value based trade-offs on backlog items and decide on what stories the team should work next. This gives the business the highest bang for their buck!
PROBLEMS WITH TIME-BASED ESTIMATES
-Teams spend too much time trying to get it right
-Lack of confidence/experience can lead to people being either optimistic or pessimistic
-Timeline you are estimating may be too far in the future
-Due to long timeline, there are too many risks, unknowns, changes or dependencies!
WHY USE RELATIVE ESTIMATION?
-Allows a quick comparison of stories in the backlog
-Allows you to select a predictable volume of work to do in a sprint
-Uses a simple arbitrary scale
-Allows PO to make trade-offs and take on the most valuable stories next
ESTIMATION TIPS
-Relative points or equivalent Tshirt sizes are used to estimate stories, leveraging the Fibonacci sequence modified for Agile.
-The team estimates the story, not management nor the customer.
-Story estimates account for three things: effort, complexity, and unknowns. Don’t short sell yourself by estimating effort alone, that’s where waterfall projects face issues.
-Remember to estimate all Stories, user stories or technical stories. Even estimate research or discovery spikes.
-Refine your backlog as a team on a continuous basis, to get your stories to meet the Definition of Ready.
-Only pull into your sprint, stories that are refined and estimated.
-Break down stories that are large, into smaller slivers of value to optimize your flow.
-Don’t sweat it if you get it wrong, teams often do early on but improve over time.
This presentation gives an overview of the 4 approaches to Scaling Agile - Scaled Agile Framework (SAFe), Disciplined Agile Delivery (DAD), Large Scale Scrum (LeSS) and Scaling Agile at Spotify (SA@S).
What is Value Stream Management and why do you need it?Tasktop
Agile has provided a framework for shortening iterations and adapting to ever changing requirements. DevOps established practices for automating the software delivery pipeline. While these methods are becoming standard practices in building software, scaling these concepts is problematic. That’s where Value Stream Management (VSM) comes in.
During this webinar, Senior VSM Strategist, Carmen DeArdo, discusses:
- What is Value Stream Management and why you need it
- How to architect your delivery pipeline for end-to-end flow and delivery speed
- Why moving from a project to product approach is critical to survive in the age of digital disruption
Agile methods are becoming norm as the new working paradigm in our VUCA (volatile, uncertain, complex and ambiguous) world.
Organizations and teams are redesigning how they work in response to change or disruption in their market, as well as the need to gain competitive advantage through digital innovation or an enriched customer experience. The implications of Agile for Human Resources (HR) are huge and without shifting our existing HR processes, adoptability of agile become challenge.
It’s not about managing resources but rather managing people. Agile HR transforms the fundamental principles of HR to into People Operations leading Agile, digital and networked organizations. The aim is to build a shared value between your customers, business and people by:
Adopting a Mindset and a Culture – Embracing the Agile mindset within HR and people practices to incrementally deliver value to your customer
Co-create among the Organization – Applying Agile techniques, like Scrum and Kanban, to self-organize, experiment and co-create directly with your people.
Structure an organisation for connection, not control to empower people to give and do their best.
The Economics of Scrum - Finance and CapitalizationCprime
• Understand the differences between Capital Expenditures and Operational Expense and the US and International laws which govern them.
• How software developed with Scrum can be used as an financial asset
• The Economics behind Scrum and why it makes sense in financial world
• Why Scrum is better than suited than Waterfall to deliver value and lower costs
• The effect on a company’s bottom line (P&L)
• Metrics which will show Scrum’s ROI and how to Predict future value
• Lesson learned from companies that have implemented Scrum and financial measures to predict value
The Business Model Envelope (BME) Ecosystem: How We Can Solve the World’s Pro...Rod King, Ph.D.
For years, I've been doing research on finding a simple way to discover and solve problems in any domain. The Business Model Envelope (BME) Ecosystem presents a simple but versatile tool for collaboratively discovering and solving problems in any domain.
The ExO Sprint is a 10-week process that helps organizations create their future and drive innovation. It provides access to thought leaders in emerging technologies and helps shift organizations' mindsets from scarcity to abundance. The Sprint delivers portfolios of breakthrough ideas through its two streams - Core focuses on adapting to industry disruption, while Edge designs new startups. Participants typically commit 30-50% of their time each week and work on assignments with coaching. Past Sprints have helped launch new initiatives at companies like P&G and TD Ameritrade.
This document provides resources for applying design thinking including an empathy map exercise, design cards, a partner worksheet, instructions for brainstorming questions, and links to additional design thinking tools and examples. It also outlines an agenda for a Home Care Design Day focusing on improving support for a client named Joyce, with goals around partnering with her primary care team, ensuring she receives quality support options, enabling only value-added services, and building a stable care team. The document seeks input on what prevents applying design thinking and poses questions to generate ideas for improving Home Care services.
Cartão de Visita - Computação Gráfica 2022-01Renato Melo
O documento fornece instruções passo-a-passo para criar um cartão de visita profissional no programa Illustrator, incluindo dicas sobre formato, papel, acabamento e como configurar o tamanho, sangria e cores.
This document defines and describes various typography terms related to letter anatomy and typeface components. It discusses key parts of letters like ascenders, descenders, bowls, stems, serifs, and terminals. It also covers type classification terms like uppercase, lowercase, serifs, sans serif, and italic. Overall, the document provides a comprehensive overview of typography terminology for describing the form and structure of letters, numbers, and punctuation in printed text.
The document provides instructions for creating an underpainting and painting of fruit or vegetables in multiple steps:
1. Draw the fruit or vegetables from different angles and perspectives and photograph the drawings.
2. Apply a monochromatic wash or tonal layer of paint to the entire canvas as an underpainting, which will provide harmony and set the mood.
3. Add block colors to the fruit or vegetables to establish dark and light areas as the foundation for further refining and detailing the painting.
The document provides tips on pitching startups to investors. It emphasizes that investors care most about traction, which is demonstrated through profit, revenue, customers or pilot customers using the product. If a startup has strong traction in a large market, they can raise money even with just an okay product and team. The document recommends startups get some level of traction, such as testing their idea with potential customers, before seeking funding from investors. It also suggests using introductions, elevator pitches, high-concept pitches, and slide decks to tell a compelling story when pitching to investors.
This document discusses agile metrics and why they matter. It begins with an introduction to Erik Weber and his background. It then provides a brief history of metrics usage, comparing traditional and agile environments. In traditional environments, metrics were often used punitively with negative effects, while agile focuses on building quality in through practices like definition of done. The document cautions that the only metric that truly matters is customer feedback. It discusses the human side of metrics, like the Hawthorne effect, and suggests focusing on outcomes rather than outputs. Finally, it provides examples of agile metrics like sprint burndowns, velocity, throughput and happiness that can provide value when used appropriately.
Prioritization – 10 different techniques for optimizing what to start next ...Troy Magennis
10 different prioritization techniques to help understand what to START next. Shows the evolution between choosing at random up to full economic analysis. First presented at Agile 2017 in Florida.
This document outlines a 45 episode beginner's guide to graphic design. It covers key topics like the visual elements of design such as line, color, shape, texture and space. It also discusses design principles including contrast, hierarchy, alignment and balance. Additional sections provide information on considering a career in design, becoming a graphic designer, and education options. Specific episodes are dedicated to visual design programs like Photoshop, Illustrator and InDesign. The guide aims to give learners a solid foundation in graphic design theory and practical skills.
Seven Key Metrics to Improve Agile PerformanceTechWell
It’s been said: If you can’t measure it, you can’t improve it. For most agile teams burndown charts and some type of velocity measurement are all they are doing. However, with just a few more metrics, you can gain substantial insight into how teams are performing and identify improvement opportunities. Andrew Graves explores seven key metrics―Effort by Class of Service, Accuracy of Estimation, Cost per Point, and four others―to measure how your team is doing and make adjustments in real time. Andrew illustrates how to use these metrics to communicate progress to stakeholders. Discover how to use these metrics to identify and analyze trends that lead to performance improvement ideas and strategies. Learn how to use these seven metrics to monitor the impact of changes made to verify they are bringing the hoped-for difference.
This document provides an overview of design thinking and its application in education. It discusses design thinking as both a process and a way of thinking. The document then outlines the typical stages of the design thinking process - discovery, ideation, iteration, and evolution. It provides examples of how design thinking has been implemented at MICDS, such as in curriculum development projects. The challenges students may face with design thinking are also examined, including patience with the process and not rushing to solutions. Overall, the document promotes design thinking as a valuable framework for problem-solving and innovation in education.
My main goal is to share and make you experiment some of the techniques that I use when transforming teams into high-perfoming agile teams, by providing you with four (4) different ways to estimate projects in Agile.
7 Steps to Pay Down the Interest on Your IT Technical DebtCAST
Dr. Bill Curtis - Dr. Bill Curtis, Senior Vice President and Chief Scientist with CAST - lays out the “Technical Debt Management Cycle”, a 7-step process for analyzing and measuring Technical Debt so you can relate executive business priorities to strategic quality priorities for reducing business risk and IT cost. It includes a formula to benchmark your Technical Debt against industry data, or adjust the parameters to best fit your organization’s own maintenance and structural quality objectives, experiences, and costs.
The term ‘technical debt' and the challenges it can bring are becoming more widely understood and discussed by IT practitioners, vendor managers and business leaders. If you're looking at technical debt in your organization, or already thinking about measuring technical debt with your vendors, you will find this report useful.
I normally teach Introduction to Agile and Scrum over a 2 day session to teams. Here is a highly condensed 2-hour version of it that covers agile thinking and introduces scrum as a framework without getting into details.
I use it as a course material for teaching to teams or groups looking to get a perspective on "why" as opposed to "how" aspect of agile.
Ever wonder why Agile teams swear by relative estimation? My teams improved sprint planning efforts by a factor or 3, once we started using relative estimation.
Without understanding Agile relative estimation, teams tend to fall back to using time-based methods. This often leads them to spend way too much time on obsolete estimates that will be made even more complex with all the unknowns and constant emergent requirements of an Agile world!
“It's better to be roughly right, than precisely wrong!”
~ John Maynard Keyenes
The Solution is simple: understand that relative estimation is only a rough order of magnitude estimate to quickly organize the product backlog. This empowers your product owners (PO) to quickly make value based trade-offs on backlog items and decide on what stories the team should work next. This gives the business the highest bang for their buck!
PROBLEMS WITH TIME-BASED ESTIMATES
-Teams spend too much time trying to get it right
-Lack of confidence/experience can lead to people being either optimistic or pessimistic
-Timeline you are estimating may be too far in the future
-Due to long timeline, there are too many risks, unknowns, changes or dependencies!
WHY USE RELATIVE ESTIMATION?
-Allows a quick comparison of stories in the backlog
-Allows you to select a predictable volume of work to do in a sprint
-Uses a simple arbitrary scale
-Allows PO to make trade-offs and take on the most valuable stories next
ESTIMATION TIPS
-Relative points or equivalent Tshirt sizes are used to estimate stories, leveraging the Fibonacci sequence modified for Agile.
-The team estimates the story, not management nor the customer.
-Story estimates account for three things: effort, complexity, and unknowns. Don’t short sell yourself by estimating effort alone, that’s where waterfall projects face issues.
-Remember to estimate all Stories, user stories or technical stories. Even estimate research or discovery spikes.
-Refine your backlog as a team on a continuous basis, to get your stories to meet the Definition of Ready.
-Only pull into your sprint, stories that are refined and estimated.
-Break down stories that are large, into smaller slivers of value to optimize your flow.
-Don’t sweat it if you get it wrong, teams often do early on but improve over time.
This presentation gives an overview of the 4 approaches to Scaling Agile - Scaled Agile Framework (SAFe), Disciplined Agile Delivery (DAD), Large Scale Scrum (LeSS) and Scaling Agile at Spotify (SA@S).
What is Value Stream Management and why do you need it?Tasktop
Agile has provided a framework for shortening iterations and adapting to ever changing requirements. DevOps established practices for automating the software delivery pipeline. While these methods are becoming standard practices in building software, scaling these concepts is problematic. That’s where Value Stream Management (VSM) comes in.
During this webinar, Senior VSM Strategist, Carmen DeArdo, discusses:
- What is Value Stream Management and why you need it
- How to architect your delivery pipeline for end-to-end flow and delivery speed
- Why moving from a project to product approach is critical to survive in the age of digital disruption
Agile methods are becoming norm as the new working paradigm in our VUCA (volatile, uncertain, complex and ambiguous) world.
Organizations and teams are redesigning how they work in response to change or disruption in their market, as well as the need to gain competitive advantage through digital innovation or an enriched customer experience. The implications of Agile for Human Resources (HR) are huge and without shifting our existing HR processes, adoptability of agile become challenge.
It’s not about managing resources but rather managing people. Agile HR transforms the fundamental principles of HR to into People Operations leading Agile, digital and networked organizations. The aim is to build a shared value between your customers, business and people by:
Adopting a Mindset and a Culture – Embracing the Agile mindset within HR and people practices to incrementally deliver value to your customer
Co-create among the Organization – Applying Agile techniques, like Scrum and Kanban, to self-organize, experiment and co-create directly with your people.
Structure an organisation for connection, not control to empower people to give and do their best.
The Economics of Scrum - Finance and CapitalizationCprime
• Understand the differences between Capital Expenditures and Operational Expense and the US and International laws which govern them.
• How software developed with Scrum can be used as an financial asset
• The Economics behind Scrum and why it makes sense in financial world
• Why Scrum is better than suited than Waterfall to deliver value and lower costs
• The effect on a company’s bottom line (P&L)
• Metrics which will show Scrum’s ROI and how to Predict future value
• Lesson learned from companies that have implemented Scrum and financial measures to predict value
The Business Model Envelope (BME) Ecosystem: How We Can Solve the World’s Pro...Rod King, Ph.D.
For years, I've been doing research on finding a simple way to discover and solve problems in any domain. The Business Model Envelope (BME) Ecosystem presents a simple but versatile tool for collaboratively discovering and solving problems in any domain.
The ExO Sprint is a 10-week process that helps organizations create their future and drive innovation. It provides access to thought leaders in emerging technologies and helps shift organizations' mindsets from scarcity to abundance. The Sprint delivers portfolios of breakthrough ideas through its two streams - Core focuses on adapting to industry disruption, while Edge designs new startups. Participants typically commit 30-50% of their time each week and work on assignments with coaching. Past Sprints have helped launch new initiatives at companies like P&G and TD Ameritrade.
This document provides resources for applying design thinking including an empathy map exercise, design cards, a partner worksheet, instructions for brainstorming questions, and links to additional design thinking tools and examples. It also outlines an agenda for a Home Care Design Day focusing on improving support for a client named Joyce, with goals around partnering with her primary care team, ensuring she receives quality support options, enabling only value-added services, and building a stable care team. The document seeks input on what prevents applying design thinking and poses questions to generate ideas for improving Home Care services.
Cartão de Visita - Computação Gráfica 2022-01Renato Melo
O documento fornece instruções passo-a-passo para criar um cartão de visita profissional no programa Illustrator, incluindo dicas sobre formato, papel, acabamento e como configurar o tamanho, sangria e cores.
This document defines and describes various typography terms related to letter anatomy and typeface components. It discusses key parts of letters like ascenders, descenders, bowls, stems, serifs, and terminals. It also covers type classification terms like uppercase, lowercase, serifs, sans serif, and italic. Overall, the document provides a comprehensive overview of typography terminology for describing the form and structure of letters, numbers, and punctuation in printed text.
The document provides instructions for creating an underpainting and painting of fruit or vegetables in multiple steps:
1. Draw the fruit or vegetables from different angles and perspectives and photograph the drawings.
2. Apply a monochromatic wash or tonal layer of paint to the entire canvas as an underpainting, which will provide harmony and set the mood.
3. Add block colors to the fruit or vegetables to establish dark and light areas as the foundation for further refining and detailing the painting.
The document provides tips on pitching startups to investors. It emphasizes that investors care most about traction, which is demonstrated through profit, revenue, customers or pilot customers using the product. If a startup has strong traction in a large market, they can raise money even with just an okay product and team. The document recommends startups get some level of traction, such as testing their idea with potential customers, before seeking funding from investors. It also suggests using introductions, elevator pitches, high-concept pitches, and slide decks to tell a compelling story when pitching to investors.
This document discusses agile metrics and why they matter. It begins with an introduction to Erik Weber and his background. It then provides a brief history of metrics usage, comparing traditional and agile environments. In traditional environments, metrics were often used punitively with negative effects, while agile focuses on building quality in through practices like definition of done. The document cautions that the only metric that truly matters is customer feedback. It discusses the human side of metrics, like the Hawthorne effect, and suggests focusing on outcomes rather than outputs. Finally, it provides examples of agile metrics like sprint burndowns, velocity, throughput and happiness that can provide value when used appropriately.
Prioritization – 10 different techniques for optimizing what to start next ...Troy Magennis
10 different prioritization techniques to help understand what to START next. Shows the evolution between choosing at random up to full economic analysis. First presented at Agile 2017 in Florida.
This document outlines a 45 episode beginner's guide to graphic design. It covers key topics like the visual elements of design such as line, color, shape, texture and space. It also discusses design principles including contrast, hierarchy, alignment and balance. Additional sections provide information on considering a career in design, becoming a graphic designer, and education options. Specific episodes are dedicated to visual design programs like Photoshop, Illustrator and InDesign. The guide aims to give learners a solid foundation in graphic design theory and practical skills.
Seven Key Metrics to Improve Agile PerformanceTechWell
It’s been said: If you can’t measure it, you can’t improve it. For most agile teams burndown charts and some type of velocity measurement are all they are doing. However, with just a few more metrics, you can gain substantial insight into how teams are performing and identify improvement opportunities. Andrew Graves explores seven key metrics―Effort by Class of Service, Accuracy of Estimation, Cost per Point, and four others―to measure how your team is doing and make adjustments in real time. Andrew illustrates how to use these metrics to communicate progress to stakeholders. Discover how to use these metrics to identify and analyze trends that lead to performance improvement ideas and strategies. Learn how to use these seven metrics to monitor the impact of changes made to verify they are bringing the hoped-for difference.
This document provides an overview of design thinking and its application in education. It discusses design thinking as both a process and a way of thinking. The document then outlines the typical stages of the design thinking process - discovery, ideation, iteration, and evolution. It provides examples of how design thinking has been implemented at MICDS, such as in curriculum development projects. The challenges students may face with design thinking are also examined, including patience with the process and not rushing to solutions. Overall, the document promotes design thinking as a valuable framework for problem-solving and innovation in education.
My main goal is to share and make you experiment some of the techniques that I use when transforming teams into high-perfoming agile teams, by providing you with four (4) different ways to estimate projects in Agile.
7 Steps to Pay Down the Interest on Your IT Technical DebtCAST
Dr. Bill Curtis - Dr. Bill Curtis, Senior Vice President and Chief Scientist with CAST - lays out the “Technical Debt Management Cycle”, a 7-step process for analyzing and measuring Technical Debt so you can relate executive business priorities to strategic quality priorities for reducing business risk and IT cost. It includes a formula to benchmark your Technical Debt against industry data, or adjust the parameters to best fit your organization’s own maintenance and structural quality objectives, experiences, and costs.
The term ‘technical debt' and the challenges it can bring are becoming more widely understood and discussed by IT practitioners, vendor managers and business leaders. If you're looking at technical debt in your organization, or already thinking about measuring technical debt with your vendors, you will find this report useful.
When a mission-critical application fails, the loss of business revenue is large and swift. Poor application quality causes highly visible major outages, as well as ongoing lapses in business performance that are less visible, but steadily add up to substantial revenue loss. Even minor quality improvements can result in significant gain. Yet, executives struggle to build a business case to justify proactive investments in application quality. This paper presents a quantitative framework for measuring the immediate and positive revenue impact of improving application quality.
CAST Highlight is a SaaS platform for fast & code-level
Application Portfolio Analytics. Track software value &
risks to align IT decisions with your business strategy.
Technical debt refers to the additional development work that arises due to poor quality code and system design decisions. This document provides a framework for calculating the costs of technical debt in order to optimize software delivery. It outlines that:
1) The average organization wastes 23-42% of development time on unplanned work like bugs and rework due to technical debt.
2) Technical debt cannot simply be fixed by hiring more developers since coordination costs increase exponentially with team size.
3) Organizations can establish a baseline for technical debt costs by calculating the percentage of work that is unplanned versus planned, with more than 15% indicating wasted capacity.
4) By addressing technical debt and related issues like process bottlenecks,
The business case for software analysis & measurementCAST
As software becomes more integrated into our daily lives, companies are finding that visibility into the systems that run their business has many benefits: reduces business risks, increases revenue, and improves IT spending.
This whitepaper provides a framework for capturing the impact of software analytics on your business and a worksheet to help you create your own business case. Leaders that can clearly articulate this value are more successful than their peers in obtaining strategic support and funding for software analytics.
Rapid Portfolio Analysis powered by CAST HighlightCAST
Have you not seen any real benefits from your current Application Portfolio Management (APM) tools and services? Learn how CAST Rapid Portfolio Analysis (RPA), a low-cost, cloud-based solution, is helping organizations get the most out of their APM efforts by providing information required for objective portfolio-level decisions quickly, easily and inexpensively. RPA can deliver results on a large portfolio in a matter of hours, providing comprehensive quality, technical debt and size measures so you can make fact-based decisions on risks that drain budgets, increase production failures and affect responsiveness.
Making a Strong Business Case for Multiagent Technologydgalanti
This document discusses making a business case for using multiagent technology. It describes lessons learned from implementing 15 commercial agent-based applications across various industries. Key findings include that agent technology reduces complexity, improves productivity by 350-500%, and can reduce total project costs by 2-3x. The primary business value is managing complex, changing requirements. Measuring ROI is difficult but agent approaches show compelling gains in programmer productivity.
Discute as facilidades que uma ferramenta como portal corporativo pode oferecer a uma organização, apresenta os critérios de avaliação, infra-estrutura de tecnologia de informação, e o posicionamento, visão e impacto do portal na corporação.
www.terraforum.com.br
The Future of IT: A Zero Maintenance StrategyCognizant
IT organizations walk a fine line in optimizing both maintenance and opportunity costs but our structured approach ensures operational excellence by emphasizing the need to run technical, operational, functional and knowledge "debts" and calibrate applications on business throughput.
Interview with Banca Intesa: Unbiased Metrics For Objective Portfolio Rationa...CAST
Banca Caboto is a financial company focused on capital markets. A merger with Banca Intesa necessitated an objective review of the health and structure of existing applications and systems, including those managed by outsourcers. CAST empowered this critical assessment and is now used for regular reviews to measure and control application quality.
Using Adaptive Scrum to Tame Process Reverse Engineering in Data Analytics Pr...Cognizant
Organizations rely on analytics to make intelligent decisions and improve business performance, which sometimes requires reproducing business processes from a legacy application to a digital-native state to reduce the functional, technical and operational debts. Adaptive Scrum can reduce the complexity of the reproduction process iteratively as well as provide transparency in data analytics porojects.
Time for Converged Infrastructure? Executives Discuss the Operational and Str...EMC
CIOs whose organizations have significant Converged Infrastructure implementations share how convergence is transforming the cost structure, performance profile, and business value of information technology infrastructure.
This document discusses converged infrastructure (CI) and provides case studies of three organizations that implemented CI solutions. The key points are:
- CI packages computing, storage, networking, and management software into an integrated and optimized system that is easier to deploy, manage, update and optimize performance of.
- Case studies show that Molina Healthcare reduced IT costs and data center footprint while enabling business growth using CI. Canadian Pacific improved customer service while reducing infrastructure costs by 30% after bringing IT operations in-house using CI. Cloud services provider Skyscape was able to launch and quickly scale its business using a CI platform.
- Benefits of CI include simplicity, improved performance and availability, faster deployment of infrastructure and applications,
Building Business Capabilities and Improving the Application Landscape
1. Balance Decision Making: Top-down for business capabilities; bottom-up effective landscape
2. 3 Categories are used for building the IT budget: Assign metrics that drive prioritization based on business outcomes
3. New projects should balance new capability with business risk
4. Improve landscape: accelerate time to market
5. Improve landscape: budget for high availability of critical applications and improve runtime performance
6. Improve Landscape: Strive to reduce business risks caused by application vulnerabilities
7. Improve Landscape: Prepare for dynamic staffing models
8. Improve landscape: Reduce applications support cost
9. Break Fix
Iaetsd design and implementation of secure cloud systems usingIaetsd Iaetsd
The document proposes a Business Continuity Management (BCM) framework to address data security issues when transforming cloud systems into a meta cloud. BCM is a holistic management process that identifies risks and reduces the impacts of data leakage. It involves understanding the organization, determining continuity strategies, developing response plans, and exercising/reviewing plans. The framework contains components like business continuity leads, working groups, and links to emergency preparedness. It uses a plan-do-check-act approach and aims to embed continuity into the organization's culture.
Over the past five years, companies of all sizes have been under increased pressure to improve IT efficiency and effectiveness.
IDC customer-based studies show that each year, the average midsize company experiences 15–18 business hours of network, system, or application downtime. Causes of downtime vary, but aging systems can have components or software that fail, while network connections and power grids can fail at any time because of external causes (e.g., weather, construction work, or natural disaster). Outages occurring during business hours result in revenue loss, as orders are dropped, customers move on, and employees cannot access critical applications. IDC research found that revenue losses per hour averaged $75,000. However, the adoption of best practices has allowed midsize companies to reduce downtime significantly in recent years. Solutions that improve system management, protect data assets from loss and unauthorized access, strengthen network security, and ensure availability directly reduce these losses at customer sites.
This document presents a framework for measuring the business value of IT investments. It defines business value as the financial benefits realized by an organization from IT solutions in areas such as cost savings, revenue increases, operational efficiencies and competitive advantages.
The framework includes identifying relevant "value dials" or metrics to quantify the benefits of a proposed IT initiative. It also introduces the concept of a Business Value Index to evaluate initiatives based on their estimated financial returns and impact on IT efficiency.
Two case studies are presented to demonstrate how the framework can be applied to evaluate proposed IT projects and justify their expected business value in order to secure approval and funding.
The document discusses the IT Infrastructure Library (ITIL) framework and best practices for IT service management. It states that Unisys uses ITIL certification and applies the standards to their global managed services. ITIL is a set of documents created by the UK government to provide comprehensive and consistent best practices for IT service management. Implementing ITIL can help align technology with business objectives and improve customer service. [/SUMMARY]
Six steps-to-enhance-performance-of-critical-systemsCAST
To view more ways to improve application performance: https://bit.ly/2OZGxgf
This white paper presents a six-step Application Performance
Application Development and Maintenance (ADM) teams often face performance issues in applications during the testing phase when an application is almost complete which results in delays and business loss. The performance modeling process using software Intelligence to identify and eliminate performance flaws before they reach to production level.
By adding dynamic performance testing with automated structural quality analysis, ADM team get early and important information that might be missed with a pure dynamic approach such as inefficient loops or SQL queries and improve the development lifecycle. The combined approach will result in detection of performance issues within the application software.
This white paper presents a six-step Performance Modeling Process using automated structural quality analysis to identify these potential performance issues at the earlier stage in the development lifecycle which results in reducing the cost but also intercept business from any kind of downfall.
This white paper helps to understand different approaches of structural quality analysis and illustrate the modeling process at work.
To view more ways to improve application performance: https://bit.ly/2OZGxgf
Application Performance: 6 Steps to Enhance Performance of Critical SystemsCAST
See more ways to improve application performance: https://www.castsoftware.com/use-cases/Improve-adm-quality
This white paper presents a six-step Application Performance
Modeling Process using software intelligence to identify potential performance issues earlier in the development lifecycle. Enriching dynamic testing with structural quality analysis gives ADM teams insight into the performance behavior of applications by highlighting critical application performance issues, especially when combined with runtime
information.
By adding structural quality analysis, ADM teams learn important information about violations of architectural and programming best practices earlier in the development lifecycle than with a pure dynamic testing approach. Structural quality analysis as part of the performance modeling process allows for fact-based insight into application complexity (e.g. multiple layers, dynamics of their interactions, complexity of SQL, etc.) and allows ADM managers to anticipate evolution of the runtime context (e.g. growing volume of data, higher number of transactions, etc.). The combined approach results in better detection of latent application performance issues within software. Resolving application performance issues early in the development cycle, these alerts help to not only save money but also prevent complete business disruptions.
See more ways to improve application performance: https://www.castsoftware.com/use-cases/Improve-adm-quality
See how to Assess Your Application: https://www.castsoftware.com/use-cases/application-assessment
Assessing application development like the rest of the business
Well overdue, it is time to measure application development and
maintenance the same way as the rest of the business, based on not just how much work someone does, but how well they do the work. As we know, looking to see if the code works as expected is only a single measurement. Knowing how easy it will be to maintain over time, how flexible it is to change as required by business changes, how quickly new team members can understand the code and get working on it and how easily the application can be tested are just some of the things that we need to look at in order to understand the real quality of the work being done by application development teams. When these measurements are combined with ways of counting the productivity (quantity) of development teams, we can get a real understanding of how well the teams are performing and what return is being realized from the investment. These measurements can be assessed both for in-house development organizations as well as the work being done by outsourcers.
The applications delivered by IT are a significant differentiator between competitors and therefore it needs to be managed as a core business process. Held up against corporate standards and no matter how or where the development work is done, it must be done well and the resulting applications need to be able to withstand time.
See how to Assess Your Application: https://www.castsoftware.com/use-cases/application-assessment
Cloud Migration: Azure acceleration with CAST HighlightCAST
Learn how to accelerate your cloud migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Cloud migration is table stakes for digital transformation initiatives. The driving factors to get to the cloud vary from organization to organization...for some, it's about cost savings and for others, it's about creating smarter apps that support continuous innovation.
IaaS – For organizations looking to reduce costs, Infrastructure as a Service (IaaS) is a great option. IaaS is sometimes described as "Lift and Shift" – when applications are moved from an existing infrastructure to a cloud infrastructure. This helps save money by reducing the hardware needed to run those applications and providing flexibility to adjust infrastructure requirements on-demand.
PaaS – For organizations looking for smarter deployments that facilitate digital transformation, streamline the delivery of new feature and support emerging technologies like IoT and Machine Learning, Platform as a Service (PaaS) is a more suitable option. While a considerable percentage of new application development is done with a cloud-first mentality, most legacy software is not optimized for a cloud environment.
So now the question becomes, how do I get my existing application portfolios ready for cloud migration so I can take full advantage of new technologies and processes
Software Intelligence-Based Cloud Readiness
So you’re ready for PaaS, but before you begin to assess the technical and structural requirements of the migration, you must also determine the business drivers for cloud and the desired outcomes. Setting a cloud migration roadmap that is based on comprehensive Software Intelligence that considers both business drivers and technical features of your applications is a critical first step.
Learn how to accelerate your cloud migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Cloud Readiness : CAST & Microsoft Azure Partnership OverviewCAST
Learn more about accelerating Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
A joint team from CAST and Microsoft worked to define rules that assess the ability of an existing codebase to migrate to Microsoft Azure. The team then integrated the rules into CAST Highlight and moved the solution itself to Azure.
In this report, we describe the process and what we did before, during, and after the hackfest, including the following:
• How we produced the rules that assess the ability to migrate to Azure
• How we benchmarked the rules
• How we migrated the CAST Highlight service to Azure
• What the architecture looked like and future plans
• Learnings from the process
Our first objective was to define rules that assess the ability of applications to migrate to Azure and integrate those rules into CAST Highlight. This was the more-complex task for our team.
Our second objective was to move the existing application to Azure, thus profiting from App Service features such as auto-scaling and deployment slots. The existing application is a Java web app running on Apache Tomcat and using PostgreSQL as its database. This is a frequent scenario for web applications running in Azure, so we did not anticipate having any issues with this task.
Learn more about accelerating Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Cloud Migration: Cloud Readiness Assessment Case StudyCAST
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Review this case study of a CIO migrating applications to Microsoft Azure to see how a cloud readiness assessment help to identify obstacles preventing the organization from moving faster to Azure. Learn how to gain quick visibility through an objective assessment of your core application's cloud readiness, before you plan your cloud migration.
Learn more about Cloud Migration: https://www.castsoftware.com/use-cases/cloud-readiness-and-migration
Digital Transformation e-book: Taking the 20X20n approach to accelerating Dig...CAST
More information on Digital Transformation here: https://www.castsoftware.com/use-cases/accelerate-it-modernization
The digital transformation wave is hitting its peak. An IDC
study found that global enterprise spending related to digital
experiences is set to reach $1.7 trillion in 2019.
The problem is that companies are spending heavily on
digital transformation, but not getting results: Approximately
59 percent of those polled in the IDC study identified as
companies at a digital impasse—stuck in an early stage of
maturation and struggling to move forward.
Digital transformation frameworks—formalized strategies that
define priorities and create clear technology roadmaps —are
essential to becoming a digitally mature organization. The
20x20n approach gives organizations an iterative, cohesive
base to build their efforts around. It isn’t just a high-level
philosophy, it’s a pragmatic, analytics-driven framework.
More information on Digital Transformation here: https://www.castsoftware.com/use-cases/accelerate-it-modernization
1) Computers will never be completely secure due to the immense complexity of software and the many potential vulnerabilities across entire technology supply chains.
2) The risks of computer insecurity are growing as computers are integrated into more physical systems like cars, medical devices, and household appliances through the "Internet of Things".
3) While technical solutions can help, the incentives for companies to prioritize security are often weak, and economic and policy tools may be needed to better manage cyber risks, such as through regulation, liability standards, and cybersecurity insurance.
Green indexes used in CAST to measure the energy consumption in codeCAST
This document describes CAST's Green IT Index, which aims to measure the energy consumption of code. CAST analyzes software at the system, module, and program levels using over 1500 checks. The Green IT Index aggregates quality rules related to efficiency and robustness, which impact energy usage. It is calculated based on rules in 5 technical criteria for efficiency and 3 for robustness. The index helps identify parts of software that could be optimized to reduce wasted CPU resources and lower energy consumption. CAST is seeking feedback on this approach to refine how the Green IT Index is composed.
Improving ADM Vendor Relationship through Outcome Based ContractsCAST
How shifting focus from time-based to outcome-based contracts improves supplier relationships and drives value.
One of the major challenges between a client and application development and maintenance supplier is that their relationship is defined by the production and management of time. Most ADM contracts can be reduced to a simple equation: Price = Rate(s) x Hours.
Suppliers remove Cost of Labor from rate to find profit, however; both parties manage time as the key variable. While these contracts are governed by project plans and deliverables, the client and supplier’s primary goal is to manage the consumption of time, not the production of business value.
Drive Business Excellence with Outcomes-Based Contracting: The OBC ToolkitCAST
Making Outcomes-Based Contracting Work With Facts
Introduction by Amit Anand, Robert Asen & Vijay Anand of Cognizant
Using metrics to develop effective results-based contracts
Managing outcome based application contracts requires a combination of scope management,
pricing, and, above all, quality. As suppliers and clients evolve the relationship, the
need for clear facts dominates conversations.
The premise of outcomes-based contracting is that hours (and indeed rate) are inputs to
the ADM process (not outputs), and that structures that measure programming results are
now both possible and achievable. Outcomes-based structures bring the original intent of
software to the forefront—creating successful results. While many companies have shifted
from input-based to output-based contracting, forward-thinking IT leaders are also taking
steps to define a sustainable outcomes-based relationship with their ADM suppliers.
Outcomes-based contracts focus on how the delivered product adds value, while inputand
output-based contracts focus on the resources and the activities needed to deliver the
outcome, respectively.
Get the big picture on your application portfolio - FAST.
Highlight is the SaaS platform for fast & code-level application portfolio analytics.
Try our demo dashboard @ casthighlight.com
Shifting Vendor Management Focus to Risk and Business OutcomesCAST
The document discusses how service level agreements are evolving from conventional models focused on individual services to outcome-based agreements measured by overall business outcomes. It introduces CAST software as a tool for objectively measuring key performance indicators like reliability, maintainability, and security risk at the application level to establish benchmarks and monitor performance over time in support of outcome-based pricing constructs. The document argues that standard software quality measurement creates visibility and leads to cost reduction and improved business agility.
Applying Software Quality Models to Software SecurityCAST
The document discusses applying software quality models to assess software security. It summarizes research showing that projects with low defect densities during testing tend to have few or no security defects reported after deployment. Additionally, 1-5% of defects are typically vulnerabilities, so reducing defects through quality practices like the Team Software Process can also reduce vulnerabilities. However, challenges remain in directly linking quality and security metrics due to differences in how data is collected and reported for vulnerabilities versus defects.
The cost of maintaining a software application is directly proportional to its size and complexity. IT organizations can take several steps using static code quality analysis to reduce size and complexity, and thus diminish their software maintenance costs.
Is your application system process facing problem? With the help of System-level analysis you can save your application from failures at different levels. It analyzes how the components are interacting at multiple layers & technologies. Keep your system efficient and secure.
What you should know about software measurement platformsCAST
Software analysis and measurement is a growing sector, and becoming a must-have in any company that runs on enterprise software. Do you know how to pick the right solution for your company? What are the essentials to delivering a comprehensive and actionable software quality measurement program to your entire enterprise? What about do-it-yourself solutions?
Our guide to the most important considerations about the engine that powers software measurement program will help you make smarter decisions about your own program.
The document summarizes the key findings of the CRASH Report from 2014, which analyzes the structural quality of 1316 applications from 212 organizations. The report focuses on 5 health factors: robustness, performance, security, changeability, and transferability. The key findings include:
- Applications from CMMI Level 1 organizations had substantially lower scores on all health factors than applications from CMMI Level 2 or 3 organizations.
- A mix of agile and waterfall development methods produced higher health factor scores than either method alone.
- The choice to develop applications in-house versus outsourced or onshore versus offshore had little effect on health factor scores.
- Applications serving over 5,000
CAST Highlight enables rapid portfolio discovery and analysis - identifying technical vulnerabilities and opportunities to reduce IT cost.
Try the CAST HIGHLIGHT demo today - get instant access!
http://www.casthighlight.com/demo
Unsustainable Regaining Control of Uncontrollable AppsCAST
The ever-growing cost to maintain systems continues to crush IT organizations robbing their ability to fund innovation while increasing risks across the organization. There are, however, some tactics to reduce application total ownership cost, reduce complexity and improve sustainability across your portfolio.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Monetize Your Technical Debt
1.
2. White Paper
How to Monetize Your Application
Technical Debt
A Data-Driven Approach to Balance
Delivery Agility with Business Risk
While there are many ways to define and measure Technical Debt, one
thing is clear—it has been growing exponentially as maintenance is
starved and development teams are forced to cut corners to meet
increasingly unrealistic delivery schedules. CAST clearly defines
Technical Debt as the cost of fixing the structural quality problems
in an application that, if left unfixed, are highly likely to cause major
disruption and put the business at serious risk. Once Technical
Debt is measured, it can be juxtaposed with the business value of
applications to inform critical tradeoffs between delivery agility and
business risk.
3. How to Monetize Your Application Technical Debt
Page 2
While there are many ways to define and measure Technical Debt, one
Executive Summary thing is clear—it has been growing exponentially as maintenance is starved
and development teams are forced to cut corners to meet increasingly
unrealistic delivery schedules.
In Measure and Manage Your IT Debt, Andy Kyte, Gartner VP and
Fellow, eloquently illustrates the systemic risk in the application portfolio
caused by the accumulation of Technical Debt over the last decade.
Gartner estimates that Fortune 2000 businesses and large public sector
agencies have an average IT debt of more than $200 million, so dealing
with IT debt must be a priority for the coming decade.
CAST clearly defines Technical Debt as the cost of fixing the structural
quality problems in an application that, if left unfixed, are highly likely to
cause major disruption and put the business at serious risk. CAST analysis
shows that even a conservative calculation of Technical Debt in the typical
business application tops $1 Million.
A fundamental element in the calculation of Technical Debt is a ―violation‖,
which occurs when an application fails to accord with one or more rules
of software engineering. Violations are the root causes of software cost
and risk; in other words, they are the fundamental metric of structural
quality. Putting a dollar figure on structural quality translates structural
quality into a language the business can understand. It enables apples-
to-apples comparisons with other monetized figures, driving informed
tradeoffs between Technical Debt, business value, and IT investment.
When should you measure Technical Debt? CAST recommends you make
it a part of the periodic review of your mission-critical applications.
1. Count and compare the number of structural quality violations once a
quarter. Establish an automated process to measure the structural
quality of an application.
2. Create an Acceptance Quality Gate as a threshold for accepting any
application before it is put into production, so you can clearly
communicate quality targets to internal teams and external service
providers.
3. Strengthen your systemic risk reduction processes. Integrate the
practice of measuring violations into your delivery model to remediate
risks before they increase your Technical Debt.
Once Technical Debt is measured, juxtapose it with the business value
of applications to inform critical tradeoffs between delivery agility and
business risk. Set the appropriate threshold for Technical Debt and monitor
critical applications against this threshold to keep the right balance
between agility and business risk as IT and business conditions evolve.
4. How to Monetize Your Application Technical Debt
Page 3
I. Introduction
Contents
In Measure and Manage Your IT Debt, Andy Kyte, Gartner VP and
I. Introduction Fellow, eloquently illustrates the systemic risk in the application portfolio
II. The Definition of Technical caused by the accumulation of Technical Debt over the last decade.
Debt and How It’s Calculated Gartner estimates that Fortune 2000 businesses and large public sector
III. Four Steps for Calculating agencies have an average IT debt of more than $200 million, so dealing
Technical Debt with IT debt must be a priority for the coming decade. His call to action
IV. Setting a technical Debt is to collect reliable data about the scale of the problem.
Threshold
V. From Monetization to Action—
Three Use Cases At CAST Research Labs, our data repository of software structural
VI. Conclusion
quality data—Appmarq—provides a unique foundation for quantifying
the scale of Technical Debt in businesses worldwide. In its current state,
Appmarq contains data on software size, complexity, and structural
quality from 160 IT organizations from around the world. There are 745
applications in the data set. This white paper builds on the summary of
results presented in The CRASH Report 2011/12.
In this white paper we explain how Appmarq is used to monetize the
Technical Debt of an application. A fundamental element in the calculation
of Technical Debt is a ―violation‖. Violations, as we will explain in more
detail, are at the root of an application’s structural quality. Hence, our
monetization of Technical Debt is based on reliably collecting and quan-
tifying the root causes of the systemic risks in an application. Our results
show that even a conservative calculation of Technical Debt in the typical
business application tops $1 Million. There is substantial systemic risk in
applications but also a substantial opportunity for improvement.
We begin with a definition of Technical Debt and the result of our calculation
of Technical Debt in a typical application. We then present the details
behind this calculation – the fundamental elements in the calculation
and how they are put together to generate the result. We conclude with
recommendations for when Technical Debt should be measured and the
actions CIOs should take once Technical Debt is monetized.
II. The Definition of Technical Debt and How It’s Calculated
Highlights
There are many ways to define and calculate Technical Debt, so let’s
5. How to Monetize Your Application Technical Debt
Page 4
We define Technical Debt as the begin with our definition and its merits. We define Technical Debt as the
cost of fixing the structural quality cost of fixing the structural quality problems in an application that, if left
problems in an application that, if unfixed, put the business at serious risk. Technical Debt includes only
left unfixed, put the business at
those application structural quality problems that are highly likely to
serious risk.
cause business disruption and hence put the business at risk; it does
not include all problems, just the serious ones.
Under this definition of Technical Debt, we find that a typical application of
300,000 lines of code (KLOC) has more than $1 Million of Technical
Debt. Technical Debt does vary by application technology/language. For
hypotheses as to why and for more details, please see the CRASH
Report 2011/12.
Given our definition of Technical Debt, measuring it requires us to quantify
an application’s structural quality problems that put the business at risk.
This is where Appmarq comes in. Appmarq contains data on the structural
quality of business applications (as opposed to data on the process by
which these applications are built). Application structural quality measures
how well an application is designed and how well it is implemented (the
quality of the coding practices and the degree of compliance with the
best practices of software engineering that promote security, reliability,
and maintainability).
The basic measure of application structural quality in Appmarq is the
number of violations per thousands of lines of code (violations per KLOC).
Violations are instances when an application fails to accord with one or
more rules of software engineering. Violations can be grouped according
to their potential customer impact in terms of the business disruption
they create if left unresolved: the higher the level of business disruption,
the higher the severity of the violation. The most severe violations are
categorized as ―critical violations.‖
The number of violations per KLOC for each application is not obtained
from surveys of project/program managers; rather, it is measured using
the repeatable, automated CAST Application Intelligence Platform. Our
approach therefore rests on the foundation of objective, repeatably-
measured quantities. It is not susceptible to the subjectivity and
inconsistencies that undermine survey-driven data collection. Moreover,
the size of the data set is large enough to make robust estimates of the
number of low-, medium-, and high-severity violations per KLOC in the
universe of all business applications.
Highlights
We have independently verified the strong correlation between violations
We find that a typical application and business disruption events in a number of real-world field tests of
of 374,000 lines of code (KLOC) mission-critical systems. By focusing solely on violations, this calculation
has more than $1 Million of
6. How to Monetize Your Application Technical Debt
Page 5
Technical Debt. of Technical Debt takes into account only the problems that we know will
cause business disruption. We also apply this conservative approach to
quantifying the cost and time it takes to fix violations (all assumptions
are stated clearly below).
In defining and calculating Technical Debt as we do, we err on the side
of a conservative estimate of the scale of Technical Debt. The actual
Technical Debt is likely to be higher and our aim is to simply set the
value for the floor – the lowest value it is likely to be. We think this is the
right direction to err when it comes to monetizing Technical Debt.
III. Four Steps for Calculating Technical Debt
Step 1. The density of violations per thousand lines of code (KLOC) is
derived from source code analysis using the CAST Application
Intelligence Platform.
Step 2. Violations are categorized into low, medium and high severity.
The Technical Debt calculation assumes that only 50% of high-severity
violations, 25% of medium-severity violations, and 10% of low-severity
violations require fixing to prevent business disruption.
Step 3. We conservatively assume that each violation, no matter its
level of severity, takes 1 hour to fix at a fully-burdened cost of $75 per
hour. Although these numbers could be a lot higher, especially when the
fix is applied during operation, we assume these values to produce a
conservative estimate.
Step 4. The formula for Technical Debt:
• L = Number of Low-Severity Violations per KLOC
• M = Number of Medium-Severity Violations per KLOC
• H = Number of High-Severity Violations per KLOC
• S = Average Application Size (KLOC)
• C = Cost to Fix a Violation ($ per Hour)
• T = Time to Fix a Violation (Number of Hours)
Technical Debt per Application = [(10% * L) + (20% * M) + (50% * H)] *
C*T*S
Highlights
Using Appmarq data to arrive at the values for L, M, H, and S, the
amount of Technical Debt in a typical business application of 374
The monetization of Technical Debt
translates structural quality into KLOC is over $1 Million.
money, the universal language of Once Technical Debt is monetized, what next? In the next section we
business. It enables apples-to- explain the steps that CIOs and Application delivery and maintenance
apples comparisons that were not heads should take once they have measured and monetized the Technical
possible before. Debt of their business-critical applications.
7. How to Monetize Your Application Technical Debt
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IV. Setting a Technical Debt Threshold
Getting a handle on the systemic risk in an application begins with an
assessment of its Technical Debt. This measurement is a way to monetize
the quality of the application – it puts a dollar figure on the quality of an
application. This monetization is critical because it translates structural
quality into money, the universal language of business. It enables apples-
to-apples comparisons that were not possible before.
We all know that application quality is important. Being able to monetize
quality means we can now ask a further, critical question, namely, how
much quality is enough? Or to put it another way, how much should we
invest in this application to manage its systemic risk?
Figure 1 is a conceptual diagram that illustrates the tradeoff between
Technical Debt and business value. Please keep in mind that the diagram
is illustrative and uses no actual data.
Figure 1. Application Technical Debt and Business Value as a Function of Structural Quality Violations (Conceptual)
The increase in Technical Debt as the number of violations rise is shown
Highlights by the red line in Figure 1. The blue line shows the declining business
value as the number of violations rise. The point of intersection at which the
Three use cases to get started curves meet marks the maximum Technical Debt that can be tolerated
measuring Technical Debt are:
8. How to Monetize Your Application Technical Debt
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Periodic Count of Structural by the application. Anything to the right of that means a precipitous drop
Quality Violations; Acceptance in business value and a simultaneous rise in the cost to operate the
Quality Gate; and Industrialization application.
of Systemic Risk Reduction
Processes.
The goal is to keep the number of structural quality violations well to the
left of the intersection of the curves. The range of acceptable values of
Technical Debt below the threshold can vary based on the exact nature
of the Technical Debt and the Business Value curves. This is indicated
by the gray shaded area. Moving left beyond the shaded area might be
too much of a good thing – there is a point beyond which improving
quality has diminishing marginal improvement in business value.
V. From Monetization to Action–Three Use Cases
We recommend that CIOs and heads of Applications use an automated
system to evaluate the structural quality of their three to five mission-
critical applications. As each of these applications is being built, measure
its structural quality at every major release. When the applications are in
operation, measure their structural quality every quarter.
In particular, keep a watchful eye on the violation count; monitor the
changes in the violation count and calculate the Technical Debt of the
application after each quality assessment. Once you have a dollar figure
on Technical Debt, use Figure 1 to determine how much Technical Debt
is too much and how much is acceptable based on the marginal return
on business value. For a framework for calculating the loss of business
value due to structural quality violations, please see, The Business
Value of Application Internal Quality by Dr. Bill Curtis.
Use Case 1: Periodic Count of Structural Quality Violations
While an application is being developed or being operated, establish an
automated process for periodically measuring the structural quality of
the application based on the number and the trend of structural quality
violations. Use this information to make the right tradeoffs between
delivery speed, application quality, and business value.
Use Case 2: Acceptance Quality Gate
Before you accept an application for production, measure its Technical
Debt against a pre-set threshold for acceptance. Use this objective
measure to clearly communicate your IT and business goals to your
Highlights
internal teams and to your service providers.
Once Technical Debt is measured,
you can juxtapose it with the
business value of applications to
inform critical tradeoffs between Use Case 3: Industrialization of Systemic Risk Reduction
Processes
9. How to Monetize Your Application Technical Debt
Page 8
delivery agility and business risk. Integrate the practice of measuring Technical Debt into your delivery
model. Involve your developers, architects, QA, and DevOps to take
immediate actions to reduce Technical Debt rather than wait until it might
be too late (or too expensive). The cycle of measurement and structural
quality improvement improves team learning, performance, and morale.
Moreover, these improvements in the team’s productivity can be quantified
in terms of the same metrics that are used to measure structural quality.
VI. Conclusion
As Gartner analyst Andy Kyte recommends, the first step to getting a
handle on the systemic risks in your portfolio is to measure the scale of
Technical Debt in your applications. Measurement is the first step, but it
is an important step. To ensure objective, cost-effective measurement, use
an automated system to evaluate the structural quality of your business-
critical applications. Make sure that your assessment of Technical Debt
is grounded on a key driver of software structural quality.
The analysis in this white paper is grounded in objective counts of
violations which have been verified in numerous field tests to be the key
drivers of application costs and risks in organizations worldwide. The
power of this Technical Debt calculation is not in its mechanics (which
we have purposefully kept very simple) but in the fundamental bits of
data on which it is based. The independent confirmation that these
fundamental elements (structural quality lapses measured as number of
low-, medium-, and high-severity violations) play a significant role in the
business productivity of companies worldwide further strengthens the
objectivity and accuracy of the calculation.
Once Technical Debt is measured, juxtapose it with the business value
of applications to inform critical tradeoffs between delivery agility and
business risk. Set the appropriate threshold for Technical Debt and
monitor critical applications against this threshold to ensure that the right
balance between agility and business risk is maintained as IT and
business conditions evolve.
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