Kanban is a method for the process improvement. It has 5 simple core principles and can be applied to any software development process - either some agile methodology or the pure waterfall model.
Many of today's large organisations are complex (sometimes even hostile) environments where status-quo, fire-fighting and conformity crush most chances for innovation and growth.
Like Mars, they are turning into desolate, lifeless places with seemingly little to offer humans.
But it doesn't have to end this way.
In this session, Claudio will illustrate stories, strategies, katas, workflows and tools to bring "learning streams" to the surface, dramatically accelerate the rate of change and form the conditions for teams and individuals to flourish and bring the best of their work to the world.
In a world where the there is no perfect visualisation, WiP limit, policy or measures? A good choice depends on the context. There aren't only one answer, but in my experience good questions could help to guide to your answer.
Imported from Japan, Kanban is an agile methodology that is gaining a lot of traction. Kanban, or Japanese for signal card, is a process that focuses on transparency and limiting the work in progress. By utilizing Kanban, you can pinpoint the bottlenecks and address them easily. In this session you will learn what Kanban is, how it evolved from its roots in the Toyota Production System (TPS) and lean manufacturing to software development, Kanban’s benefits, and how best to implement a Kanban system. We’ll also discuss when not to use Kanban and how to modify other agile methodologies, such as Scrum, to be used in conjunction with Kanban.
Many of today's large organisations are complex (sometimes even hostile) environments where status-quo, fire-fighting and conformity crush most chances for innovation and growth.
Like Mars, they are turning into desolate, lifeless places with seemingly little to offer humans.
But it doesn't have to end this way.
In this session, Claudio will illustrate stories, strategies, katas, workflows and tools to bring "learning streams" to the surface, dramatically accelerate the rate of change and form the conditions for teams and individuals to flourish and bring the best of their work to the world.
In a world where the there is no perfect visualisation, WiP limit, policy or measures? A good choice depends on the context. There aren't only one answer, but in my experience good questions could help to guide to your answer.
Imported from Japan, Kanban is an agile methodology that is gaining a lot of traction. Kanban, or Japanese for signal card, is a process that focuses on transparency and limiting the work in progress. By utilizing Kanban, you can pinpoint the bottlenecks and address them easily. In this session you will learn what Kanban is, how it evolved from its roots in the Toyota Production System (TPS) and lean manufacturing to software development, Kanban’s benefits, and how best to implement a Kanban system. We’ll also discuss when not to use Kanban and how to modify other agile methodologies, such as Scrum, to be used in conjunction with Kanban.
Why Distributed Tracing is Essential for Performance and ReliabilityAggregage
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.
Kanban Development And The Paradigm Of FlowAlisson Vale
That was the title of my presentation on Oct 8th 2009 at Agiles 2009, 2nd Latin-American conference on Agile Development Methodologies. I have designed this presentation trying to summarize what the Kanban community is trying to spread recently as a new way to manage knowledge work.
Data-Driven DevOps: Mining Machine Data for 'Metrics that Matter' in a DevOps...Splunk
IT organizations are increasingly using machine data - including in DevOps practices - to get away from 'vanity metrics' and instead to generate 'metrics that matter'. These metrics provide visibility into the delivery of new application code and the business value of DevOps, to both IT and business stakeholders.
Machine data provides DevOps teams and others - including QA, secops, CxOs and LOB leaders - with meaningful and actionable metrics. This allows stakeholders to monitor, measure, and continuously improve the velocity and quality of code throughout the software lifecycle, from dev/test to customer-facing outcomes and business impact.
In this session Andi Mann, chief technology advocate at Splunk, will share core methodologies, interesting case studies, key success factors and 'gotcha' moments from real-world experience with mining machine data to produce 'metrics that matter' in a DevOps context.
Mvc architecture driven design and agile implementation of a web based softwa...ijseajournal
This paper reports design and implementation of a web based software system for storing and managing
information related to time management and productivity of employees working on a project.
The system
has been designed and implemented w
ith best principles from model view
controller
and agile development.
Such system has practical use for any organization in terms of ease of use, efficiency, and cost savings. The
manuscript describes design of the system as well as its database and user i
nterface. Detailed snapshots of
the working system are provided too.
Why Distributed Tracing is Essential for Performance and ReliabilityAggregage
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. Together these have enabled individual service teams to become more independent and, as a result, have boosted developer velocity. However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Distributed tracing was developed at organizations like Google and Twitter to address these problems and has also come a long way in the decade since then. By the end of this presentation, you’ll understand why distributed tracing is necessary and how it can bring performance and reliability back under control.
Kanban Development And The Paradigm Of FlowAlisson Vale
That was the title of my presentation on Oct 8th 2009 at Agiles 2009, 2nd Latin-American conference on Agile Development Methodologies. I have designed this presentation trying to summarize what the Kanban community is trying to spread recently as a new way to manage knowledge work.
Data-Driven DevOps: Mining Machine Data for 'Metrics that Matter' in a DevOps...Splunk
IT organizations are increasingly using machine data - including in DevOps practices - to get away from 'vanity metrics' and instead to generate 'metrics that matter'. These metrics provide visibility into the delivery of new application code and the business value of DevOps, to both IT and business stakeholders.
Machine data provides DevOps teams and others - including QA, secops, CxOs and LOB leaders - with meaningful and actionable metrics. This allows stakeholders to monitor, measure, and continuously improve the velocity and quality of code throughout the software lifecycle, from dev/test to customer-facing outcomes and business impact.
In this session Andi Mann, chief technology advocate at Splunk, will share core methodologies, interesting case studies, key success factors and 'gotcha' moments from real-world experience with mining machine data to produce 'metrics that matter' in a DevOps context.
Mvc architecture driven design and agile implementation of a web based softwa...ijseajournal
This paper reports design and implementation of a web based software system for storing and managing
information related to time management and productivity of employees working on a project.
The system
has been designed and implemented w
ith best principles from model view
controller
and agile development.
Such system has practical use for any organization in terms of ease of use, efficiency, and cost savings. The
manuscript describes design of the system as well as its database and user i
nterface. Detailed snapshots of
the working system are provided too.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
2. What is Kanban?
Kanban is a method for managing knowledge work with an
emphasis on just-in-time delivery while not overloading the team
members. In this approach, the process, from definition of a task
to its delivery to the customer, is displayed for participants to see
and developers pull work from a queue.
(source Wikipedia)
In software development, we are using a virtual kanban system to
limit (team's) work-in-progress ... to a set capacity and to balance
the demand on the team against the throughput of their delivered
work. By doing this we can achieve a sustainable pace of
development so that all individuals can achieve a work versus
personal life balance.
(source Kanban by David J. Anderson)
2
3. What Kanban Is Not?
Kanban is not:
a methodology.
a process (for software development).
an agile practise.
a project management tool.
a silver bullet.
3
4. Benefits of Kanban
It eliminates waste from the process.
Reducing work-in-progress improves quality.
Improved quality improves trust with downstream partners.
Process improvement leads to greater productivity and greater
predictability.
It enables incremental changes
with reduced political risk,
with minimal resistence.
It provides transparency on both the work and the process
through which the work flows.
Individuals are more likely to give of their time and collaborate
when they can see the effect it will have.
(source Kanban by David J. Anderson)
4
5. Origins of Kanban
Toyota Production System (TPS)
Lean Software Development
Drum-Buffer-Rope (DBR) methodology
(picture source: Wikipedia.org)
5
7. Visualize Workflow
Split the work into pieces, write each item on a card, and put the
card on the wall.
Use named columns to illustrate where each item is in the
workflow.
(source Lean from the Trenches by Henrik Kniberg)
7
8. Limit Work-in-Progress
Assign explicit limits to how many items may be in progress at
each workflow state.
(source Lean from the Trenches by Henrik Kniberg)
8
9. Measure and Manage Flow
The flow of work should be measured, so the
continuous, incremental changes to the system can be evaluated.
Cumulative Flow Diagram is very offen used for visualization.
9
10. Make Process Policies Explicit
There should be explicit definition and understanding of the
(project) policies, so that issues can be rationaly and objectively
discussed, mitigated and improved.
Policies can be about:
Definition of Done (DoD)
Work-in-progress (WIP)
Issues addressing and escalation
Responsibility during process states
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11. Use Models to Recognize Improvement Opportunities
By modeling the workflow of a software development lifecycle as
a value stream and then creating a tracking and visualization
system to track state changes of emerging work as it „flowed“
through the system, I could see bottlenecks. The ability to identify
a bottleneck is the first step in the underlying model for the Theory
of Constraints.
(source Kanban by David J. Anderson)
Common models are:
Theory of Constraints (the study of bottlenecks)
Deming System of Profound Knowledge (a study of variation)
Lean economic model (concept of „waste“)
(source Wikipedia)
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