By applying DevOps - with its real-time analytics - to the software development lifecycle, IT can deliver greater business value in velocity, quality and many other measures.
Customer Collaboration & Product Innovation Using Social NetworksJohn Carter
This presentation to the Silicon Valley PMI Annual Symposium discusses the migration of social networks into products and product development processes. It presents the best practices and pitfalls of innovating with customers using social media and suggests some next steps for companies that are new to the use of social networks in product development.
Quality Index: A Composite Metric for the Voice of TestingTechWell
It is quite possible that you are spending a considerable amount of your time as a QA manager making sense of the multitude of metrics reported by your teams, connecting the facts, understanding the underlying reality, and articulating it to your peers and leadership. Still, others in the organization may not interpret the message correctly, rendering most of your efforts futile. Nirav Patel and Sutharson Veeravalli share insights to help you resolve this challenge through a composite measure called Quality Index. By aligning metrics to business outcomes and using Quality Index as a tool of articulation, disparate interpretation of data can be eliminated and a cohesive message delivered to stakeholders. Learn how QA can acquire a voice across the senior forums by articulating succinct, contextual, and actionable information to speed up executive decisions in the course of programs and projects.
DevOps Best Practices: Combine Coding with CollaborationCognizant
To implement DevOps, "soft skills" pay a key role along with the integrated tools for enabling the platform. We offer best practices and tool suggestions for implementing DevOps.
This Seven Step Digital Transformation Engineering Blueprint is
proven engineering approach to systematically transform your people, processes and technologies practices.
Engineering DevOps to meet Business GoalsMarc Hornbeek
This talk explains an approach to engineer DevOps to meet specific business transformation goals for enterprises on their journey towards digitization.
Business Assurance: The Quality Implications of Digital TransformationCognizant
To advance the digital business agenda, QA organizations must break loose from their traditional bug testing shackles and embrace frictionless, full lifecycle automation and a continuous delivery approach.
The DevOps promise: IT delivery that’s hot-off-the-catwalk and made-to-lastPeter Shirley-Quirk
DevOps promises rapid delivery AND stable operations by integrating business, development, test, deployment and operations into a cohesive workflow with a rapid feedback cycle. So how is that possible?
Continuous Delivery Operating Model for Entertainment Video Providers: Buildi...Cognizant
To compete with digital streaming natives, established entertainment video providers need to build a streamlined, waste-free pipeline for rapid software delivery. We recommend an integrated approach to the four types of change needed: culture, process, engineering practices and platforms.
Customer Collaboration & Product Innovation Using Social NetworksJohn Carter
This presentation to the Silicon Valley PMI Annual Symposium discusses the migration of social networks into products and product development processes. It presents the best practices and pitfalls of innovating with customers using social media and suggests some next steps for companies that are new to the use of social networks in product development.
Quality Index: A Composite Metric for the Voice of TestingTechWell
It is quite possible that you are spending a considerable amount of your time as a QA manager making sense of the multitude of metrics reported by your teams, connecting the facts, understanding the underlying reality, and articulating it to your peers and leadership. Still, others in the organization may not interpret the message correctly, rendering most of your efforts futile. Nirav Patel and Sutharson Veeravalli share insights to help you resolve this challenge through a composite measure called Quality Index. By aligning metrics to business outcomes and using Quality Index as a tool of articulation, disparate interpretation of data can be eliminated and a cohesive message delivered to stakeholders. Learn how QA can acquire a voice across the senior forums by articulating succinct, contextual, and actionable information to speed up executive decisions in the course of programs and projects.
DevOps Best Practices: Combine Coding with CollaborationCognizant
To implement DevOps, "soft skills" pay a key role along with the integrated tools for enabling the platform. We offer best practices and tool suggestions for implementing DevOps.
This Seven Step Digital Transformation Engineering Blueprint is
proven engineering approach to systematically transform your people, processes and technologies practices.
Engineering DevOps to meet Business GoalsMarc Hornbeek
This talk explains an approach to engineer DevOps to meet specific business transformation goals for enterprises on their journey towards digitization.
Business Assurance: The Quality Implications of Digital TransformationCognizant
To advance the digital business agenda, QA organizations must break loose from their traditional bug testing shackles and embrace frictionless, full lifecycle automation and a continuous delivery approach.
The DevOps promise: IT delivery that’s hot-off-the-catwalk and made-to-lastPeter Shirley-Quirk
DevOps promises rapid delivery AND stable operations by integrating business, development, test, deployment and operations into a cohesive workflow with a rapid feedback cycle. So how is that possible?
Continuous Delivery Operating Model for Entertainment Video Providers: Buildi...Cognizant
To compete with digital streaming natives, established entertainment video providers need to build a streamlined, waste-free pipeline for rapid software delivery. We recommend an integrated approach to the four types of change needed: culture, process, engineering practices and platforms.
This slide deck explains a simple approach to conduct value stream mapping for DevOps value streams. Easy to use templates are provided. An example is included, which shows the dramatic effect that using containers and Kubernetes had on the value stream for a business application.
This document summarizes the software testing services offered by Thought Frameworks Inc. They provide manual, automated, and performance testing services across various industries including education, healthcare, retail, banking, and finance. Their testing methodology is structured and customizable to clients' needs. They aim to identify defects early and reduce defects throughout the software development lifecycle.
Implementing a Test Dashboard to Boost QualityTechWell
You are responsible for addressing quality problems that are plaguing your product and having an adverse impact on the business. Have you been challenged to provide a simple mechanism for quantifying and tracking key performance indicators selected by your organization. The ultimate goal is an approach that will enable the cross-functional team to identify problem areas so they can take corrective action. Where do you start? Attend this session to learn how you can develop a quantifiable approach to assessing testing effectiveness and addressing quality. Scott Acker shows you a solution he developed, deployed, and managed to effectively leverage various types of data to support analyzing, tracking, and reporting changes in testing and quality over time. Discover how to drive communication and collaboration improvements across the entire cross-functional team and boost quality efforts.
Thought Frameworks has a reputation of outstanding Software Testing services, providing Smart Test Automation, Performance & Functional capabilities with hands-on open & commercial testing tools.
We are working from a position of strength for consumers like Cision, CellTrust, Chegg, Scantron, Verisign, Infusion,12Twenty to name a few, operating across the US, UK & Israel. With a focus on Education, Healthcare, Media,Telecom, Banking, Insurance & Retail Sector.
We will continue to do many of the things we've always done well. But we are making the significant approach to new situations by bringing fresh insight with extremely experienced QA professionals for premium quality.
Simplify your QA processes and find innovative ways to grow your business.
This document summarizes a 30-minute talk on engineering DevOps given by Marc Hornbeek. The talk discusses defining engineering DevOps, how to engineer people, processes, and technology for DevOps. It also covers how to engineer applications, pipelines, and infrastructures for DevOps. The talk presents a seven-step DevOps engineering transformation blueprint and discusses the future of engineering DevOps beyond continuous improvement. The document provides benefits of a well-engineered DevOps approach and why engineering is needed to implement DevOps successfully. It also summarizes DevOps engineering tools and maturity levels.
Agile Project Management: Introduction to AGILE - The Basic 101Nurul Haszeli Ahmad
The slide briefly describe the current project management and issues, briefly on agile and share some of example in implementing agile with very basic and simple implementation.
Understanding the who, what, why, and when of quality is essential in implementing an effective Quality Program. It requires a combination of distinct disciplines: Quality Assurance, Quality Control, and Quality Improvement. They are three unique disciplines which, when used together, can improve the efficiency and effectiveness of any organization leading to reduced cost and increased customer satisfaction.
In July and August of 2014, S3 Group undertook a study that sought the views of leading executives from companies including Accenture, BSkyB, Comcast, Ericsson, Liberty Global, Numericable, Virgin Media, and Time Warner Cable. This report provides a snapshot of Pay-TV Service Delivery, and gives an understanding of the current opinions of Development, QA and Operations experts on build and release processes.
S3 Group is a global leader at enhancing the performance and service readiness of video platforms across connected devices. In both development and production, S3 Group provides unique insights through service validation products and platform integration services for multiscreen deployments.
For further information please visit: http://www.s3group.com/tv-technology
Critical steps in Determining Your Value Stream Management SolutionDevOps.com
The document provides an overview of steps for determining a Value Stream Management (VSM) solution for an organization. It begins with an introduction of the speakers and outlines the webinar goals of explaining the comprehensive process for selecting a VSM solution. The webinar then details each step, including understanding why the steps are important, how solutions are determined through activities like future state mapping and return on investment analysis, and the expected outcome of team alignment around a recommended solution.
QA Best Practices in Digital Marketing [whitepaper]Jim Spillson
The first ever QA Summit for Digital Marketing took place in October 2013 and more than 20 agencies and organizations attended. The resulting whitepaper details the best practices and guiding principles any organization can follow to improve their quality in today's digital world.
Panelists: Ben Currie (GA Communication Group), Kt McBratney (Phenomblue), Michael Morowitz (R/GA)
Moderator: Jim Spillson
The document discusses DevOps metrics collection and analysis to measure the success of Agile and DevOps implementations. It recommends collecting metrics at multiple levels - team, program, and enterprise - to identify areas for improvement. Automated collection is emphasized to provide faster feedback. Key metrics include deployment frequency, change lead time, production incidents, test coverage, and customer satisfaction. Analysis should correlate metrics to gain insights. Regular reporting of metrics will build trust and show improvements in areas like time to market, quality, and productivity.
This document discusses identifying requirements for software development projects. It explains that requirements specify what a product should do and how it should perform. Requirements are gathered through meetings with stakeholders to determine needs. A specification document is created and used during design, development, and testing to ensure the project meets requirements. Requirements may change during development, so communication is important. Upon completion, software is deployed and then maintained to address any issues.
Engineering DevOps Right the First TimeMarc Hornbeek
Marc Hornbeek is an experienced DevOps consultant with over 39 years of experience in IT architecture, development, and management. He discusses engineering DevOps right from the start through a top-down/middle-out approach focusing on leadership alignment, gap assessment, and process re-engineering to optimize agility, efficiency, quality and stability. Key aspects include modeling the DevOps pipeline, analyzing elements like tools and metrics, and controlling technology and process evolution over time.
This presentation will give you insights into where the testing industry will be in 2020 and what are the skills required to survive in the testing world.
Project managers can improve project outcomes by (1) shaping projects around business architecture, (2) ensuring traceability from early lifecycle stages, and (3) conducting impact analysis to support business agility. This allows making quality, schedule, and results more predictable.
Pragmatic Approach to Datawarehouse Testing_.docxshankarmani
The document discusses key considerations for testing a data warehouse implementation. It recommends involving testing teams early in requirements analysis to validate requirements. During solution design, testing teams should review designs and ensure traceability to requirements. The document also advocates for test automation to validate data quality, transformations and loads across environments. Effective governance with business stakeholders is important for requirement workshops and requirements traceability.
We are moving towards the Agile and DevOps dominated world which brings Quality Engineering into the picture. Quality is theoretically optimized throughout the process as it becomes responsibility of everyone involved in the software development lifecycle. QE brings more speed in testing ensuring high-quality output.
This presentation explains how testing activities constitute the main bottleneck to flow in most continuous delivery pipelines. Continuous Testing strategies are designed to reduce testing bottlenecks, and accelerate time-to-quality.
A blueprint is presented for Continuous Testing. Specific strategies are presented including Continuous Test Tenets, Leadership and Culture practices, Test strategies and Plans, Test Management, Test Automation, Test Tools, Test Environment Management and Test Results Analysis. A Continuous Testing Assessment approach is described to help assess current state of of continuous testing. A phased implementation approach is explained.
Prolifics Level 2 Test Lifecycle Automation Services Star WestProlifics
This document discusses test automation in agile and DevOps environments. It notes challenges like a lack of a single source of truth for business processes, applications and integrations. Testers often lack business perspective. Test design can be inefficient. It proposes that test life cycle automation can help achieve quality more quickly. Key areas of automation include test environments, case design, data management, execution across different test levels, verification, and impact analysis and regression testing. Business process documentation and mapping outcomes to requirements are also discussed. A tool called BA360 can help with test design, and coverage across different test levels is illustrated.
DevOps is a combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity. The DevOps lifecycle includes seven phases: continuous development, continuous integration, continuous testing, continuous delivery, continuous deployment, continuous monitoring, and continuous feedback. Continuous integration involves committing code changes frequently and building and testing the code continuously to identify problems early.
Boast the Potential of DevOps with CI CDZoe Gilbert
DevOps CI/CD is the best practice of continuous integration, continuous delivery, and Deployment by optimizing the resources. Reading this blog, help you understand the key points of adopting the right attitude to the CI/CD approach to enable good quality software.
This slide deck explains a simple approach to conduct value stream mapping for DevOps value streams. Easy to use templates are provided. An example is included, which shows the dramatic effect that using containers and Kubernetes had on the value stream for a business application.
This document summarizes the software testing services offered by Thought Frameworks Inc. They provide manual, automated, and performance testing services across various industries including education, healthcare, retail, banking, and finance. Their testing methodology is structured and customizable to clients' needs. They aim to identify defects early and reduce defects throughout the software development lifecycle.
Implementing a Test Dashboard to Boost QualityTechWell
You are responsible for addressing quality problems that are plaguing your product and having an adverse impact on the business. Have you been challenged to provide a simple mechanism for quantifying and tracking key performance indicators selected by your organization. The ultimate goal is an approach that will enable the cross-functional team to identify problem areas so they can take corrective action. Where do you start? Attend this session to learn how you can develop a quantifiable approach to assessing testing effectiveness and addressing quality. Scott Acker shows you a solution he developed, deployed, and managed to effectively leverage various types of data to support analyzing, tracking, and reporting changes in testing and quality over time. Discover how to drive communication and collaboration improvements across the entire cross-functional team and boost quality efforts.
Thought Frameworks has a reputation of outstanding Software Testing services, providing Smart Test Automation, Performance & Functional capabilities with hands-on open & commercial testing tools.
We are working from a position of strength for consumers like Cision, CellTrust, Chegg, Scantron, Verisign, Infusion,12Twenty to name a few, operating across the US, UK & Israel. With a focus on Education, Healthcare, Media,Telecom, Banking, Insurance & Retail Sector.
We will continue to do many of the things we've always done well. But we are making the significant approach to new situations by bringing fresh insight with extremely experienced QA professionals for premium quality.
Simplify your QA processes and find innovative ways to grow your business.
This document summarizes a 30-minute talk on engineering DevOps given by Marc Hornbeek. The talk discusses defining engineering DevOps, how to engineer people, processes, and technology for DevOps. It also covers how to engineer applications, pipelines, and infrastructures for DevOps. The talk presents a seven-step DevOps engineering transformation blueprint and discusses the future of engineering DevOps beyond continuous improvement. The document provides benefits of a well-engineered DevOps approach and why engineering is needed to implement DevOps successfully. It also summarizes DevOps engineering tools and maturity levels.
Agile Project Management: Introduction to AGILE - The Basic 101Nurul Haszeli Ahmad
The slide briefly describe the current project management and issues, briefly on agile and share some of example in implementing agile with very basic and simple implementation.
Understanding the who, what, why, and when of quality is essential in implementing an effective Quality Program. It requires a combination of distinct disciplines: Quality Assurance, Quality Control, and Quality Improvement. They are three unique disciplines which, when used together, can improve the efficiency and effectiveness of any organization leading to reduced cost and increased customer satisfaction.
In July and August of 2014, S3 Group undertook a study that sought the views of leading executives from companies including Accenture, BSkyB, Comcast, Ericsson, Liberty Global, Numericable, Virgin Media, and Time Warner Cable. This report provides a snapshot of Pay-TV Service Delivery, and gives an understanding of the current opinions of Development, QA and Operations experts on build and release processes.
S3 Group is a global leader at enhancing the performance and service readiness of video platforms across connected devices. In both development and production, S3 Group provides unique insights through service validation products and platform integration services for multiscreen deployments.
For further information please visit: http://www.s3group.com/tv-technology
Critical steps in Determining Your Value Stream Management SolutionDevOps.com
The document provides an overview of steps for determining a Value Stream Management (VSM) solution for an organization. It begins with an introduction of the speakers and outlines the webinar goals of explaining the comprehensive process for selecting a VSM solution. The webinar then details each step, including understanding why the steps are important, how solutions are determined through activities like future state mapping and return on investment analysis, and the expected outcome of team alignment around a recommended solution.
QA Best Practices in Digital Marketing [whitepaper]Jim Spillson
The first ever QA Summit for Digital Marketing took place in October 2013 and more than 20 agencies and organizations attended. The resulting whitepaper details the best practices and guiding principles any organization can follow to improve their quality in today's digital world.
Panelists: Ben Currie (GA Communication Group), Kt McBratney (Phenomblue), Michael Morowitz (R/GA)
Moderator: Jim Spillson
The document discusses DevOps metrics collection and analysis to measure the success of Agile and DevOps implementations. It recommends collecting metrics at multiple levels - team, program, and enterprise - to identify areas for improvement. Automated collection is emphasized to provide faster feedback. Key metrics include deployment frequency, change lead time, production incidents, test coverage, and customer satisfaction. Analysis should correlate metrics to gain insights. Regular reporting of metrics will build trust and show improvements in areas like time to market, quality, and productivity.
This document discusses identifying requirements for software development projects. It explains that requirements specify what a product should do and how it should perform. Requirements are gathered through meetings with stakeholders to determine needs. A specification document is created and used during design, development, and testing to ensure the project meets requirements. Requirements may change during development, so communication is important. Upon completion, software is deployed and then maintained to address any issues.
Engineering DevOps Right the First TimeMarc Hornbeek
Marc Hornbeek is an experienced DevOps consultant with over 39 years of experience in IT architecture, development, and management. He discusses engineering DevOps right from the start through a top-down/middle-out approach focusing on leadership alignment, gap assessment, and process re-engineering to optimize agility, efficiency, quality and stability. Key aspects include modeling the DevOps pipeline, analyzing elements like tools and metrics, and controlling technology and process evolution over time.
This presentation will give you insights into where the testing industry will be in 2020 and what are the skills required to survive in the testing world.
Project managers can improve project outcomes by (1) shaping projects around business architecture, (2) ensuring traceability from early lifecycle stages, and (3) conducting impact analysis to support business agility. This allows making quality, schedule, and results more predictable.
Pragmatic Approach to Datawarehouse Testing_.docxshankarmani
The document discusses key considerations for testing a data warehouse implementation. It recommends involving testing teams early in requirements analysis to validate requirements. During solution design, testing teams should review designs and ensure traceability to requirements. The document also advocates for test automation to validate data quality, transformations and loads across environments. Effective governance with business stakeholders is important for requirement workshops and requirements traceability.
We are moving towards the Agile and DevOps dominated world which brings Quality Engineering into the picture. Quality is theoretically optimized throughout the process as it becomes responsibility of everyone involved in the software development lifecycle. QE brings more speed in testing ensuring high-quality output.
This presentation explains how testing activities constitute the main bottleneck to flow in most continuous delivery pipelines. Continuous Testing strategies are designed to reduce testing bottlenecks, and accelerate time-to-quality.
A blueprint is presented for Continuous Testing. Specific strategies are presented including Continuous Test Tenets, Leadership and Culture practices, Test strategies and Plans, Test Management, Test Automation, Test Tools, Test Environment Management and Test Results Analysis. A Continuous Testing Assessment approach is described to help assess current state of of continuous testing. A phased implementation approach is explained.
Prolifics Level 2 Test Lifecycle Automation Services Star WestProlifics
This document discusses test automation in agile and DevOps environments. It notes challenges like a lack of a single source of truth for business processes, applications and integrations. Testers often lack business perspective. Test design can be inefficient. It proposes that test life cycle automation can help achieve quality more quickly. Key areas of automation include test environments, case design, data management, execution across different test levels, verification, and impact analysis and regression testing. Business process documentation and mapping outcomes to requirements are also discussed. A tool called BA360 can help with test design, and coverage across different test levels is illustrated.
DevOps is a combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity. The DevOps lifecycle includes seven phases: continuous development, continuous integration, continuous testing, continuous delivery, continuous deployment, continuous monitoring, and continuous feedback. Continuous integration involves committing code changes frequently and building and testing the code continuously to identify problems early.
Boast the Potential of DevOps with CI CDZoe Gilbert
DevOps CI/CD is the best practice of continuous integration, continuous delivery, and Deployment by optimizing the resources. Reading this blog, help you understand the key points of adopting the right attitude to the CI/CD approach to enable good quality software.
The document discusses emerging trends in DevOps in the healthcare industry. It begins with an overview of the current state of DevOps adoption in healthcare, which has grown steadily from 2017-2021. However, many healthcare organizations are still only in the middle stages of DevOps maturity. The document then examines how standardization, metrics, and a DevOps center of excellence can help organizations advance in their DevOps journey. It outlines a case study of how to scale DevOps practices through the use of internal platform teams. The document concludes by discussing how artificial intelligence and machine learning can be leveraged to augment DevOps practices across development, integration, testing, monitoring, and operations.
3.15 proven DevOps metrics and measurements to measure DevOps success.pdfBelayet Hossain
How to measure DevOps success with DevOps metrics and measurements?
With businesses under more pressure than ever to deliver high-quality software faster, many are turning to DevOps methodologies to achieve these goals.
https://itphobia.com/15-proven-devops-metrics-and-measurements-to-measure-devops-success/
DevOps has caught fire in the IT world in the last few years.
Not surprising as delivering faster has become a major
imperative especially with the increasingly digital world
and the convergence of internet, cloud, mobile, social and
analytics. Speed has become the new currency for IT
Making a Quantum Leap with Continuous Analytics-Based QACognizant
By correlating analytics data across the IT lifecycle, enterprises can design and implement a level of testing that improves predictive mechanisms and anticipates ever-changing business needs.
DevOps4Gov aims to accelerate IT for modern federal agencies using DevOps. DevOps promises to reduce costs and risks while improving efficiency. It integrates development, testing, security and operations for faster application delivery. CSRA's DevOps4Gov capability is tailored for federal challenges like legacy systems and tight budgets while leveraging commercial DevOps successes. Examples show how CSRA helped agencies like the FAA deploy applications on time and at scale through Agile/DevOps practices.
DevOps - The Future of Application Lifecycle Automation Gunnar Menzel
Development to Operations (DevOps) will have a profound impact on the global IT sector in the near future. Realizing DevOps’ full potential, IT vendors have been agile enough in providing new products and services under the label “DevOps inside”, at an ever- increasing pace. However, with the growth in product choices, conflicting definitions and competing services, customers often encounter confusion, while making complex purchase decisions. They often seem to be unsure about how to deploy DevOps and get the most out of the solution.
While not trying to delve deep into DevOps, the Whitepaper tries to answer the following key questions:
What is DevOps?
What is DevOps trying to achieve?
How will DevOps achieve this?
How best to make use of the new developments?
Its aim is to help the reader:
Understand the DevOps concepts
Understand its current value and restrictions
Best Practices for a Successful DevOps Transformation.pdfpCloudy
The document outlines best practices for a successful DevOps transformation, including aligning DevOps goals with business objectives, encouraging collaboration between teams, and starting small before fully implementing changes. It recommends defining performance standards, incorporating automation tools, implementing continuous integration and delivery pipelines, gathering customer feedback, monitoring production environments, adopting serverless infrastructure, improving release timing, and governance while accepting failures are inevitable. The conclusion states DevOps transformation is an ongoing journey that requires adopting practices gradually while learning from experiences.
An overview of how Successful are Your DevOps ServicesBJIT Ltd
Devops service offers agility and flexibility, but at its foundation, it's all about continuous improvement. Change and improvement are necessary components of DevOps maturity, regardless of where it is now. A methodology for evaluating, updating, and implementing strategy may help teams evolve while also preparing them for future development.
Read more: https://bjitgroup.com/devops-service-provider
A Digital Software Quality Magazine for all the Quality Professionals in IT Industry. This Quarterly Magazine intend to discuss and share new concepts, pilots, analysis related to the modern IT technologies and platform from the Quality perspective. The magazine is promoted by DigitQ.in website. This is collaborative platform to share and know the latest information in Quality field. The intent is to Digitize the Quality Concepts to fit to Modern IT needs.
DataOps vs. DevOps_ A detailed comparison .pdfEnov8
DataOps, also known as Data operations, is an enterprise-wide data management technique that streamlines the data flow from the origin to the value. It aims to make the procedure of delivering value from data quicker. Many enterprises are utilising the DataOps technology to streamline the data and cut down the time of advanced analytics.
Are Software Development Companies Getting An Upgrade With Digital Transforma...Techahead Software
The integration of digital technology across all business sectors brought a major change in how you operate and value customers. As a result, the software development agencies will probably continue to alter significantly as the digital transformation process progresses.
Source: https://dripivplus.com/are-software-development-companies-getting-an-upgrade-with-digital-transformation/
DevOps is a term for a combination of various software development practices including traditional software development and information technology operations. It shortens the systems development life cycle while delivering features, fixes, and updates. This is ensured by frequent and close alignments with business objectives. It comprises a vast set of cultural philosophies, practices and tools
to increase an organization's ability to deliver applications and services at high velocity.
This document gives insights how DevOps should be designed, what services they should offer, what organizational forms can be chosen (incl. their benefits), which aspects a DevOps governance should cover, how to assess and implement DevOps (DevOps transition), which technologies are important and how processes can be designed based on proven best practices.
Agenda DevOps best practice slide deck:
- DevOps Definition and Overview
- DevOps & Agile maturity
- DevOps Transition
- DevOps Technology
- DevOps Organization
Methods Of DevOps Methodology In The Banking Industry.pdfMaveric Systems
Financial services, together with companies in the computer industry, may be ranked among the leaders
in DevOps practice maturity. When it comes to accelerating innovation and implementing cutting-edge
software delivery techniques like agile, continuous delivery (CD), and DevOps, FIs are at the forefront of
change. Several requirements for the financial sector are
Software development (Dev) and IT operations (Ops) are the roots of the term "DevOps" (Ops). The term refers to a culture change that will enable the continuous delivery of high-quality software and reduce the development cycle. It is primarily distinguished by shared ownership, automated workflow, and quick feedback principles. As a result, all phases of the software development cycle, not just a few, must be understood by the team members.
Top DevOps Trends And Statistics You Need To Know In 2023Mindbowser Inc
Software development and IT teams can work together more efficiently and automatically thanks to a set of tools, procedures, and concepts known as "DevOps." It focuses on techniques like technology automation, team empowerment, and cross-team communication and collaboration.
Article link: https://www.mindbowser.com/devops-trends/
If you want to get training in Devops V CUBE Provide Best Software Training in Hyderabad with Job Oriented Training , Placement Assistance ,Career Guidance Programs and many more for more informations visit www.vcubesoftsolutions.com
The document provides an overview of DevOps including definitions of DevOps, why DevOps is needed, common DevOps automation tools, the future of DevOps, and advantages of DevOps. DevOps is defined as an approach where business owners, development, operations, and quality assurance teams collaborate continuously to deliver software. It promotes better collaboration and improves delivery speed and agility. Common automation tools described include AWS, Chef, Jenkins, Splunk, AppDynamics, and Nagios. The future of DevOps includes faster delivery timelines, more user control, and DevOps as a valuable IT skill. Advantages are improved customer value, efficiency, delivery speed, and trust between teams.
Similar to Using DevOps' Intelligent Insights to Deliver Greater Business Value (20)
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.
Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-makingCognizant
The document discusses how most companies are not fully leveraging artificial intelligence (AI) and data for decision-making. It finds that only 20% of companies are "leaders" in using AI for decisions, while the remaining 80% are stuck in a "vicious cycle" of not understanding AI's potential, having low trust in AI, and limited adoption. Leaders use more sophisticated verification of AI decisions and a wider range of AI technologies beyond chatbots. The document provides recommendations for breaking the vicious cycle, including appointing AI champions, starting with specific high-impact decisions, and institutionalizing continuous learning about AI advances.
It Takes an Ecosystem: How Technology Companies Deliver Exceptional ExperiencesCognizant
Experience is becoming a key strategy for technology companies as they shift to cloud-based subscription models. This requires building an "experience ecosystem" that breaks down silos and involves partners. Building such an ecosystem involves adopting a cross-functional approach to experience, making experience data-driven to generate insights, and creating platforms to enable connected selling between companies and partners.
Intuition is not a mystery but rather a mechanistic process based on accumulated experience. Leading businesses are engineering intuition into their organizations by harnessing machine learning software, massive cloud processing power, huge amounts of data, and design thinking in experiences. This allows them to anticipate and act with speed and insight, improving decision making through data-driven insights and acting as if on intuition.
The Work Ahead: Transportation and Logistics Delivering on the Digital-Physic...Cognizant
The T&L industry appears poised to accelerate its long-overdue modernization drive, as the pandemic spurs an increased need for agility and resilience, according to our study.
Enhancing Desirability: Five Considerations for Winning Digital InitiativesCognizant
To be a modern digital business in the post-COVID era, organizations must be fanatical about the experiences they deliver to an increasingly savvy and expectant user community. Getting there requires a mastery of human-design thinking, compelling user interface and interaction design, and a focus on functional and nonfunctional capabilities that drive business differentiation and results.
The Work Ahead in Manufacturing: Fulfilling the Agility MandateCognizant
Manufacturers are ahead of other industries in IoT deployments but lag in investments in analytics and AI needed to maximize IoT's benefits. While many have IoT pilots, few have implemented machine learning at scale to analyze sensor data and optimize processes. To fully digitize manufacturing, investments in automation, analytics, and AI must increase from the current 5.5% of revenue to over 11% to integrate IT, OT, and PT across the value chain.
The Work Ahead in Higher Education: Repaving the Road for the Employees of To...Cognizant
Higher-ed institutions expect pandemic-driven disruption to continue, especially as hyperconnectivity, analytics and AI drive personalized education models over the lifetime of the learner, according to our recent research.
Engineering the Next-Gen Digital Claims Organisation for Australian General I...Cognizant
The document discusses potential future states for the claims organization of Australian general insurers. It notes that gradual changes like increasing climate volatility, new technologies, and changing customer demographics will reshape the insurance industry and claims processes. Five potential end states for claims organizations are described: 1) traditional claims will demand faster processing; 2) a larger percentage of claims will come from new digital risks; 3) claims processes may become "Uberized" through partnerships; 4) claims organizations will face challenges in risk management propositions; 5) humans and machines will work together to adjudicate claims using large data and computing power. The document argues that insurers must transform claims through digital technologies to concurrently improve customer experience, operational effectiveness, and efficiencies
Profitability in the Direct-to-Consumer Marketplace: A Playbook for Media and...Cognizant
Amid constant change, industry leaders need an upgraded IT infrastructure capable of adapting to audience expectations while proactively anticipating ever-evolving business requirements.
Green Rush: The Economic Imperative for SustainabilityCognizant
Green business is good business, according to our recent research, whether for companies monetizing tech tools used for sustainability or for those that see the impact of these initiatives on business goals.
Policy Administration Modernization: Four Paths for InsurersCognizant
The pivot to digital is fraught with numerous obstacles but with proper planning and execution, legacy carriers can update their core systems and keep pace with the competition, while proactively addressing customer needs.
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Using DevOps' Intelligent Insights to Deliver Greater Business Value
1. Cognizant 20-20 Insights | August 2017
Using DevOps’
Intelligent
Insights to
Deliver Greater
Business Value
By applying real-time analytics
and end-to-end traceability
enabled by DevOps, IT
organizations not only make
software delivery more efficient,
but they also enhance business
value delivered throughout the
digital journey.
EXECUTIVE SUMMARY
For large enterprises, accelerating their velocity
to being digital is becoming increasingly difficult.
The process is hindered by historical work silos
and the inability to transform older, legacy appli-
cations and technology infrastructure.
While DevOps1
enables business to address market
demand for rapid digitization, the approach
primarily focuses on end-to-end automation,
from application build and deployment, through
release and measurement. This is a great first
step, but issues are often uncovered while appli-
cations are in production. Some of these issues
need immediate resolution, increasing the risk of
budget and schedule overruns. Thus, diligent and
continuous measurement is necessary to ensure
enterprise DevOps success.
In a DevOps world, where delivery is agile, rapid
and conducted in short Sprints, emphasis should
be on proactive issue detection rather than reac-
tive responses to bugs and challenges. This white
paper discusses how organizations can use rapid
feedback mechanisms to attain continuous intel-
ligent insights that help continuously improve an
application’s value.
COGNIZANT 20-20 INSIGHTS
2. THE ROLE OF DEVOPS IN
DIGITAL TRANSFORMATION
CIOs are leading their IT organizations through
ongoing digital transformation that extends to
every aspect of the company. Yet, decision-mak-
ers are often at a loss as to where to start and
sometimes wonder if they have made enough
progress based upon their initial targets.2
Effective digital transformation requires organi-
zations to possess the agility to innovate, deploy
software and accelerate time to market.3
Organi-
zations that are able to quickly turn their ideas
into consumer products, absorb rapid feedback
and then quickly refine their software to launch
the suggested improvements are excelling in
a world that is moving at the speed of digital.4
DevOps gives these organizations this kind of
ability to deliver new digital ideas quickly. Orga-
nizations adopt the DevOps philosophy to bring
sustained continuous development, integration
and innovation.
MEASURING DEVOPS FOR
DIGITAL SUCCESS
However, the greatest challenge today is that
continuous software updates are not so simple
to deploy. Multiple apps must be rendered on
mobile and web interfaces, especially in indus-
tries where customers need consistent anytime,
anywhere access to information and application
services. Any downtime, however minor, can be
extremely costly.
Despite pre-launch testing, technical issues still
arise in production, some of which could be
severe enough to warrant immediate remedies.
These can totally disrupt development schedules
and, more important, mar the business’s reputa-
tion and cause financial hardship, if not remedied
quickly and effectively. And often, the repercus-
sions of such glitches depend on how quickly an
issue is discovered, diagnosed and fixed. Issue
detection needs to be immediate and automatic,
and the information captured must facilitate
remedial action.
In addition to remediating production issues,
there is also a need to continuously improve appli-
cation services for the customers at a greater
velocity, to fast-track their digital transforma-
tion. But the velocity should not come at a cost of
quality, and this is one prime area where DevOps
can help. CIOs who comprehend DevOps’s value
should also understand that DevOps is a journey
and not an end state, and thus they should use
this approach to continuously evolve and provide
better application services to their customers.
Next-gen analytics tools and cognitive technol-
ogies such as autonomics have opened up the
possibility to add adaptive automation within
DevOps’ continuous delivery (CD) implementa-
tions. This facilitates not only identifying issues
but also enables the systems to take mindful
decisions in solving some of the most common
problems in the software delivery lifecycle. As
a result, the velocity of applications changes
released to production increases significantly
and the customer’s digital journey accelerates.
CIOs who comprehend DevOps’s value should also
understand that DevOps is a journey and not an
end state, and thus they should use this approach to
continuously evolve and provide better application
services to their customers.
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 2
Cognizant 20-20 Insights
3. Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 3
DEVOPS MEASUREMENT
CHALLENGES
There is an old management saying: If you can’t
measure it, you can’t improve it. DevOps is not a
one-time activity, but an ongoing process where
IT organizations improve the various activities
across the systems development lifecycle (SDLC)
of build, deploy, verify, release and measure. In
this way, they work to significantly accelerate
time to market and business value. Organizations
that are unable to baseline DevOps outcomes are
unable to continuously improve; in the long run,
they could potentially become laggards.5
This
simple thought drives DevOps analytics.
Unfortunately, there is no single standard by
which we can define or baseline DevOps indices
that need to be measured. This is primarily due
to the fact that not all parameters that are mea-
sured may be applicable to all technology stacks
— even if the concept of DevOps may be still appli-
cable to them. Therefore, if an enterprise wishes
to measure its DevOps journey, it would have
to first create baseline measurements on how
much time is being spent inside SDLC processes
and how DevOps can help reduce that. If these
indices show progress once an enterprise adopts
DevOps, it could justify the investment. But these
measurements and computations of progress are
made over a period of time and are not simple to
measure due to the following:
• The indices change based on the customer
and what the customer wants to measure.
• The indices change based on the type of the
vector that needs to be measured: build,
deploy, verify, release, measure and environ-
ment (in some cases).
• There is no one single tool or mechanism that
helps to measure DevOps progress.
DEFINING THE METRICS THAT
MATTER
An obvious first step is to identify the basic per-
formance indicators to measure — i.e., define the
KPIs. Based on our experience, the metrics in
Figures 1 and 2 (see next page) are good starting
points. One caveat: The figures offer an indica-
tive view of the various performance indicators;
they are not intended to be an exhaustive cata-
log. These could be used for creating baselines,
and the trends, either upward or downward
(based upon the metrics), can help reveal if the
needle is tipping in the right direction.
Organizations that are unable to
baseline DevOps outcomes are unable
to continuously improve; in the long
run, they could potentially become
laggards.
Cognizant 20-20 Insights
4. Cognizant 20-20 Insights
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 4
Metrics to Measure Velocity
Performance Indicator What It Means
Mean Lead Time Time taken for a bit of code to get built, tested and deployed.
Daily Change Rate
Number of changes committed to the main branch of source control and
deployed to the necessary environments.
Mean Time to Environment Setup
The time taken for developers/testers to create a testing environment for
verifying each delivered change.
Mean Time to Detect Time elapsed since the original coding until the bug it introduces is detected.
Mean Time to Resolve Time taken to resolve an issue after detection.
Mean Time to Approve
Time taken to approve and verify a release. (This is measured from the moment
all release content has been delivered until the release has passed all the defined
test and verification cycles.)
Figure 1
Metrics to Measure Quality
Performance Indicator What It Means
Build Failure Rate Ratio of failed builds to overall builds.
Deployment Failure Rate Ratio of failed deployments to overall deployments.
Infrastructure-Related Failure Rate Ratio of build/deployment failures related to infrastructure issues.
Rework Rate Ratio of tickets being reopened to total tickets.
Automated Detection Rate Ratio of defects detected by automated testing cycles to overall detects.
Figure 2
Velocity Metrics
These metrics (in Figure 1) essentially measure
the rate at which change is being delivered.
And “change” could be how quickly a problem
is detected, how quickly it can be fixed, or how
quickly a basic need can be assigned to an engi-
neering team.
Quality Metrics
Apart from agility, quality is of paramount impor-
tance in the DevOps world. The quality metrics
listed in Figure 2 help to define the rate at which
quality factors can be measured.
5. Cognizant 20-20 Insights
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 5
DATA COLLECTION AND
MEASUREMENT
Once key performance metrics are identified,
the next step is to gather the data to make these
measurements. After collecting data for the indi-
vidual metric, it is necessary to plot each data
point to derive meaningful insights. Some of the
data can be used directly to derive meaning,
while other data might require complex calcu-
lations to quantify the value or the outcome.
While the numerical value of an isolated data
point may be relevant, generally the real impact
of such data is realized when the decision-maker
conducts trend analysis over a period of time.
This can reveal progress — or the lack thereof.
Given the complexity of data collection, analysis
and interpretation, it is obviously suboptimal to
perform perform such processes manually. The
principles of DevOps need to be applied to mea-
suring outcomes, as well. In Figure 3, we present
a sample setup for data collection to create a
DevOps measurement baseline.
This figure illustrates at a high level how data can
be collected, and the top characteristics of such
a system. The system basically contains touch
points (integration points) with the necessary
tools that are deployed to collect data and then
portray the full picture of how the application
code moves through the various phases.
Creating Measurement Baselines
Build
Provide capability to
correlate between data
Should be able to work
with all the tools
Figure out
bottlenecks
Simple and effective
ways to collect data
Simple
setup
Deploy Release Verify Environment
DevOps Measurement Platform
SCM
(GIT)
Artifact
Repo
(Nexus)
Artifact
Repo
(Nexus)
Functional
and
Regression
Automation
(Selenium)
Continuous IntegrationSCM Artifact
Mgmt
Release
Mgmt
Continuous
Verification
Env.
Mgmt
Continuous Deployment
Code
checkout
Push
artifact
Pull
artifact
Pass
Fail
DEV ST
UAT P&V
Production
Static Code
Analysis
(SONAR)
Build
(Maven)
Test
(Junit)
Measure
Coverage
(Cobertura) Deploy
Application
(XL Deploy)
Automated
Smoke Test
(Selenium)
Rollback
Deployment
(XL Deploy)
Jenkins
Inadequate coverage
Test failures
Major
Code
Violations
Build failures
Figure 3
6. Cognizant 20-20 Insights
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 6
LOOKING FORWARD
Most DevOps consultants and architects are
challenged to address whether DevOps is more
concerned with IT than business outcomes. We
believe that this is one of the most challenging
questions IT organizations face. Answering this
with data-driven measurements and metrics (as
described above) is therefore critical. This is the
primary goal of large transformation engage-
ments wherein DevOps is the key change lever.
Quick Take
Improving Time to Market,
Productivity and Incidence
of Bugs
A large enterprise client sought to apply DevOps to improve application
time to market. Initially, the company’s IT organization was unable to figure
out where the bottlenecks were in its SDLC process, which affected devel-
oper productivity.
By applying key principles of DevOps to identify bottlenecks in its develop-
ment process, the company greatly reduced cycle time from development
to production release. This also significantly reduced defects, because the
IT team was able to more proactively find and treat root cause issues.
Overall, the company’s IT organization increased developer productivity by
15%, an outcome measured by its own analytics and correlation engine.
7. Cognizant 20-20 Insights
Sample Dashboards: DevOps by the Numbers
CI Build Status
Builds Per Month
Average Build Duration
Jenkins Success Count Jenkins Failure Count
Build Duration
COUNTTIME(MINUTES)
APR
2016
DEC
2016
JUL
2016
JUN
2016
MAR
2016
MAY
2016
NOV
2016
APR
2016
DEC
2016
JUL
2016
JUN
2016
MAR
2016
MAY
2016
NOV
2016
10.0
7.5
5.0
2.5
0.0
10.0
7.5
5.0
2.5
0.0
User Story SCM Commits Files Commited
33 74 502
Figure 4
When business teams are able to realize these
outcomes, they will also be part of the trans-
formation journey — and hence DevOps will no
longer be an “IT thing.”
Sample dashboards that can be created based on
the identified metrics are illustrated in Figure 4.
These provide a sense of what exactly needs to
be improved and what can be accomplished via
DevOps.
By examining the figure’s three reports, DevOps
teams can see how a particular Sprint impacted
the number of files that changed but didn’t
improve the quality of the CI builds and the
deployments, given the large number of failures.
This basically shows that the team has good
velocity but must improve on their quality mea-
sures. Inferences like these will help the teams
improve in their DevOps journey.
DevOps measurement enables organizations to
answer the age-old return on investment (ROI)
question. The key first step to ensure that DevOps
leads to successful digital transformation is to
define and measure DevOps metrics. The fol-
lowing are the priority items that organizations
should bear in mind when defining the metrics:
• Identify what needs to be measured.
• Which actors contribute to the KPI – these
could be tools, process and technology, not
just people – or collect data for metrics?
• Measurement of the metrics with a defined
baseline.
• Progress tracking metrics to ensure contin-
ued forward motion in adoptign of DevOps
principles.
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 7
8. Cognizant 20-20 Insights
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 8
Repeating these steps for each KPI, and then
taking the actual measurements, will allow an
organization to objectively measure DevOps’
outcomes and weed out the bottlenecks — and
thereby accelerate the organization’s digital jour-
ney. Figure 5 presents some additional outcomes
that can be achieved from both a business and
technical standpoint when the above measure-
ments are put in place.
Business Benefits
Outcome Remarks
Improve Team Efficiency
By identifying — and then acting on — factors that limit the team’s
velocity, the team can deliver changes at a faster pace.
Portfolio Performance
This helps in measuring the relative maturity of a given portfolio.
For the business, it serves as a measuring point for determining
which areas need focus given a particular line of business.
Time to Market & Trend
Time taken for a business feature to be rolled out from build to
deployment, and the trend over a particular time frame. This
helps the business to make corrective steps and to deliver
products more rapidly.
Cost of Release
The ability to measure the cost vs. value delivered by a release.
In an ideal scenario, the cost of the release should taper once
DevOps principles are adopted — thus justifying the investment
in this approach.
Impact of Release
The success/failure of features delivered to customers. This
measurement gives the business the capability to gauge
positive/negative ROI and help make feature delivery more
customer-centric.
High Friction Zones
This helps to identify areas that choke application development
velocity. They could be in development, QA or infrastructure;
knowing where helps teams take corrective measures.
Technical Debt
Costs incurred for not following the best code practices, and the
related expenses to fix them. This denotes that when headroom
projects are not executed in a timely way it impacts the velocity
of the delivered code changes.
Velocity and Trend
This is a direct measure of the team’s capability to deliver
changes at a constant speed. The team should be able to increase
its velocity of delivering features when the bottlenecks are
removed by the application of DevOps principles.
Defect Fix & Rate
Average time to fix defects and determine the trend. When
defects of a particular type proliferate, it indicates a choke point
in that area. For example, if environment defects are high, then
the environment area needs some attention. This should decrease
when DevOps principles are applied in the environment.
Figure 5
9. Cognizant 20-20 Insights
Using DevOps’ Intelligent Insights to Deliver Greater Business Value | 9
Rajkumar
Chandrasekaran
Principal Architect,
DevOps Practice
Rajkumar Chandrasekaran is a Principal Architect within Cogni-
zant’s DevOps Practice. He has 15-plus years of experience in the
field of large-scale application development and has played varied
roles, from application architecting through reengineering of appli-
cations. Rajkumar is currently architecting Cognizant’s OneDevOps
platform assets for the company’s DevOps offerings. He can be
reached at Rajkumar.Chandrasekaran@cognizant.com.
ABOUT THE AUTHORS
FOOTNOTES
1 DevOps is a term used to refer to a set of practices that emphasize the collaboration and communication of both software
developers and information technology professionals while automating the process of software delivery and infrastructure
changes – from Wikipedia. en.wikipedia.org/wiki/DevOps.
2 “Drive Results with Digital Transformation Initiatives: Three Keys for CIOs to Ensure Superior Customer Experience,” by
Jennifer Thomson, Carla Arend, Archana Venkatraman; IDC white paper, October 2015.
3 “Digital Transformation and DevOps – A Winning Combination,” DevOpsGuys,
www.devopsguys.com/2016/11/03/digital-transformation-devops-winning-combination/.
4 “DevOps: Unlocking the Value from Digital Transformation — A CxO’s Guide,” DevOpsGuys white paper, October 2016.
5 “CA Technologies: DevOps leaders outshine DevOps laggards in the App Economy,” Jessica Twentyman, Oct. 14, 2014.
www.itproportal.com/2014/10/14/ca-technologies-devops-leaders-outshine-devops-laggards-app-economy/.
Rangarajan
Rajamani
Senior Manager,
DevOps Practice
Rangarajan Rajamani is a Senior Manager within Cognizant’s
DevOps Practice. He has over 14 years of expertise in multiple indus-
tries such as global life sciences, manufacturing and construction,
performing business consulting, pre-sales and product evangeli-
zation. As a functional expert in digital technologies such as the
IoT, cloud, service virtualization, functional QA automation and
DevOps, Rangarajan has created point solutions for organizations
in life sciences, insurance and retail. He currently anchors platform
evangelization for Cognizant’s DevOps Practice. Rangarajan can be
reached at Rangarajan.Rajamani@cognizant.com.