DevOps aims to bring development and operations teams closer together through automation, shared tools and processes. Automating builds improves consistency, reduces errors and improves productivity. Common issues with builds include them being too long, handling a large volume, or being too complex. Solutions include improving build speed, addressing long/complex builds through techniques like distributed builds, and using build acceleration tools. Automation is a key part of DevOps and enables continuous integration, testing and deployment.
DevOps is an increasingly useful tool for achieving business objectives, enabling your teams to work together to improve the efficiency and quality of software delivery. However, despite its growing popularity, there is still a lack of clarity over what DevOps actually means, how organizations should do it and what's the best way to get started.
DevOps 101 takes a brief look at the history of DevOps, why it started, what problems it is intended to solve and how you can start implementing it.
The slides were delivered by James Betteley, Head of Education at the DevOpsGuys in a one-hour webinar. The full recording is available here - https://youtu.be/4gC3WpbetKs?t=2s
James has spent the last few years neck-deep in the world of DevOps transformation, helping a wide range of organizations optimize the way they collaborate to deliver better software, faster. James was joined by Elizabeth Ayer, Portfolio Manager, from Redgate Software. Elizabeth looks after a range of Redgate products that help teams extend their DevOps practices to SQL Server databases.
For more information visit www.devopsguys.com and www.red-gate.com
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Nick Brandaleone - Solutions Architect, AWS
The practical DevSecOps course is designed to help individuals and organisations in implementing DevSecOps practices, to achieve massive scale in security. This course is divided into 13 chapters, each chapter will have theory, followed by demos and any limitations we need to keep in my mind while implementing them.
More details here - https://www.practical-devsecops.com/
Manual Monitoring Slows Deployment and Introduces Risk
How often do you update your applications?
“We deploy multiple times per day” seems to be the new badge of honor for DevOps.
But what you don’t often hear about are the problems caused by process acceleration as a result of continuous integration and continuous deployment (CI/CD).
Rapid introduction of performance problems and errors
Rapid introduction of new endpoints causing monitoring issues
Lengthy root cause analysis as number of services expand
When implementing CI/CD, ANY manual intervention slows down the entire pipeline. You can’t achieve complete CI/CD without automating your monitoring processes (just like you did for integration, testing, and deployment).
In this session, we will learn about Teamcity CI Server. We will look at the different options available and how we can set a CI pipeline using Teamcity.
DevOps is an increasingly useful tool for achieving business objectives, enabling your teams to work together to improve the efficiency and quality of software delivery. However, despite its growing popularity, there is still a lack of clarity over what DevOps actually means, how organizations should do it and what's the best way to get started.
DevOps 101 takes a brief look at the history of DevOps, why it started, what problems it is intended to solve and how you can start implementing it.
The slides were delivered by James Betteley, Head of Education at the DevOpsGuys in a one-hour webinar. The full recording is available here - https://youtu.be/4gC3WpbetKs?t=2s
James has spent the last few years neck-deep in the world of DevOps transformation, helping a wide range of organizations optimize the way they collaborate to deliver better software, faster. James was joined by Elizabeth Ayer, Portfolio Manager, from Redgate Software. Elizabeth looks after a range of Redgate products that help teams extend their DevOps practices to SQL Server databases.
For more information visit www.devopsguys.com and www.red-gate.com
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Level: 200
Speaker: Nick Brandaleone - Solutions Architect, AWS
The practical DevSecOps course is designed to help individuals and organisations in implementing DevSecOps practices, to achieve massive scale in security. This course is divided into 13 chapters, each chapter will have theory, followed by demos and any limitations we need to keep in my mind while implementing them.
More details here - https://www.practical-devsecops.com/
Manual Monitoring Slows Deployment and Introduces Risk
How often do you update your applications?
“We deploy multiple times per day” seems to be the new badge of honor for DevOps.
But what you don’t often hear about are the problems caused by process acceleration as a result of continuous integration and continuous deployment (CI/CD).
Rapid introduction of performance problems and errors
Rapid introduction of new endpoints causing monitoring issues
Lengthy root cause analysis as number of services expand
When implementing CI/CD, ANY manual intervention slows down the entire pipeline. You can’t achieve complete CI/CD without automating your monitoring processes (just like you did for integration, testing, and deployment).
In this session, we will learn about Teamcity CI Server. We will look at the different options available and how we can set a CI pipeline using Teamcity.
This session introduces the key patterns in Cloud Native application development. It highlights the need of a unique architecture style, further, the fitment of DevOps, usage of Microservices and the runtime of Cloud Native application (* as a Service). The precautions of distributed computing gives insights of how to plan the application design and architecture.
In the world of DevSecOps as you may predict we have three teams working together. Development, the Security team and Operations.
The “Sec” of DevSecOps introduces changes into the following:
• Engineering
• Operations
• Data Science
• Compliance
Today’s cutting edge companies have release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This type of automation will help you catch bugs sooner and accelerate developer productivity. In this session we will share our AWS engineers embed security practices in DevOps, and discuss how you can use AWS services to securely enable DevOps agility in your organization.
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
A high level introduction to DevOps. Explains what it is, how popular DevOps has become, why DevOps is popular, how DevOps differs from traditional approaches and some next steps to implementation.
by Jeet Shangari, Sr. Technical Account Manager, AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice. Level 200
Micro Focus Software Delivery and Testing Jan De Coster Presentation on the Journey to DevOps in the recent Micro Focus #DevDay Copenhagen.
Micro Focus enables enterprise software organizations to build innovative software and accelerate application delivery to meet the needs of the business. Whatever the challenges and infrastructures, our core principle—of reusing what already works to minimize business risk while supporting modern software practices—has positioned our customers to be better prepared to support the digital transformation of the business.
Build, test and deliver innovative software faster with less risk.
April 2017.
CI/CD Best Practices for Your DevOps JourneyDevOps.com
The journey to realizing DevOps in any organization is fraught with a number of obstacles for developers and other stakeholders. These challenges are often caused by key CI/CD practices being misunderstood, partially implemented or even completely skipped. Now, as the industry positions itself to build on DevOps practices with a Software Delivery Management strategy, it’s more important than ever that we implement CI/CD best practices, and prepare for the future.
Join host Mitchell Ashely, and CloudBees’ Brian Dawson, DevOps evangelist, and Doug Tidwell, technical marketing director, as they explore and review the CI/CD best practices which serve as your stepping stones to DevOps and a successful Software Delivery Management strategy.
The webinar will cover CI/CD best practices including:
Containers and environment management
Continuous delivery or deployment
Movement from Dev to Ops
By the end of the webinar, you’ll understand the key steps for implementing CI/CD and powering your journey to DevOps and beyond.
DevOps, sibling of Agile is born of the need to improve IT service delivery agility to the more stable environment.
DevOps movement emphasizes tearing the boundaries between makers (Development) & caretakers (Operations) of IT services/products.
40 DevSecOps Reference Architectures for you. See what tools your peers are using to scale DevSecOps and how enterprises are automating security into their DevOps pipeline. Learn what DevSecOps tools and integrations others are deploying in 2019 and where your choices stack up as you consider shifting security left.
DevOps is a set of practices that aims to provide superior quality software quickly by integrating the processes between the development and the operation teams. DevOps is an agile relationship between development and IT operations. DevOps is the abbreviation for Development and Operations. The development includes Plan, Create, Verify and Package. Operations include Release, Configure, and Monitor.
Security will always be our top priority. Agile deployment methods require a set of dynamic built-in security controls that keep pace with innovation and scale. In this session we will utilise the power of automation with the AWS platform to increase the agility of developers while maintaining a strong security posture.
Speaker: David Faulkner, Senior Technical Account Manager, Amazon Web Services
DevOps is a methodology capturing the practices adopted from the very start by the web giants who had a unique opportunity as well as a strong requirement to invent new ways of working due to the very nature of their business: the need to evolve their systems at an unprecedented pace as well as extend them and their business sometimes on a daily basis.
While DevOps makes obviously a critical sense for startups, I believe that the big corporations with large and old-fashioned IT departments are actually the ones that can benefit the most from adopting these principles and practices.
This session introduces the key patterns in Cloud Native application development. It highlights the need of a unique architecture style, further, the fitment of DevOps, usage of Microservices and the runtime of Cloud Native application (* as a Service). The precautions of distributed computing gives insights of how to plan the application design and architecture.
In the world of DevSecOps as you may predict we have three teams working together. Development, the Security team and Operations.
The “Sec” of DevSecOps introduces changes into the following:
• Engineering
• Operations
• Data Science
• Compliance
Today’s cutting edge companies have release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This type of automation will help you catch bugs sooner and accelerate developer productivity. In this session we will share our AWS engineers embed security practices in DevOps, and discuss how you can use AWS services to securely enable DevOps agility in your organization.
by Nick Brandaleone, Solutions Architect AWS
Join us to learn about continuous integration, continuous delivery, and DevOps. The AWS Developer Tools have been designed based on the tools used by Amazon engineers to rapidly and reliably deliver products and features to customers. We’ll provide overviews of the services and best practices followed by a hands-on workshop to help you learn how to automate your software release processes, deploy application code, and monitor your application and infrastructure performance.
A high level introduction to DevOps. Explains what it is, how popular DevOps has become, why DevOps is popular, how DevOps differs from traditional approaches and some next steps to implementation.
by Jeet Shangari, Sr. Technical Account Manager, AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice. Level 200
Micro Focus Software Delivery and Testing Jan De Coster Presentation on the Journey to DevOps in the recent Micro Focus #DevDay Copenhagen.
Micro Focus enables enterprise software organizations to build innovative software and accelerate application delivery to meet the needs of the business. Whatever the challenges and infrastructures, our core principle—of reusing what already works to minimize business risk while supporting modern software practices—has positioned our customers to be better prepared to support the digital transformation of the business.
Build, test and deliver innovative software faster with less risk.
April 2017.
CI/CD Best Practices for Your DevOps JourneyDevOps.com
The journey to realizing DevOps in any organization is fraught with a number of obstacles for developers and other stakeholders. These challenges are often caused by key CI/CD practices being misunderstood, partially implemented or even completely skipped. Now, as the industry positions itself to build on DevOps practices with a Software Delivery Management strategy, it’s more important than ever that we implement CI/CD best practices, and prepare for the future.
Join host Mitchell Ashely, and CloudBees’ Brian Dawson, DevOps evangelist, and Doug Tidwell, technical marketing director, as they explore and review the CI/CD best practices which serve as your stepping stones to DevOps and a successful Software Delivery Management strategy.
The webinar will cover CI/CD best practices including:
Containers and environment management
Continuous delivery or deployment
Movement from Dev to Ops
By the end of the webinar, you’ll understand the key steps for implementing CI/CD and powering your journey to DevOps and beyond.
DevOps, sibling of Agile is born of the need to improve IT service delivery agility to the more stable environment.
DevOps movement emphasizes tearing the boundaries between makers (Development) & caretakers (Operations) of IT services/products.
40 DevSecOps Reference Architectures for you. See what tools your peers are using to scale DevSecOps and how enterprises are automating security into their DevOps pipeline. Learn what DevSecOps tools and integrations others are deploying in 2019 and where your choices stack up as you consider shifting security left.
DevOps is a set of practices that aims to provide superior quality software quickly by integrating the processes between the development and the operation teams. DevOps is an agile relationship between development and IT operations. DevOps is the abbreviation for Development and Operations. The development includes Plan, Create, Verify and Package. Operations include Release, Configure, and Monitor.
Security will always be our top priority. Agile deployment methods require a set of dynamic built-in security controls that keep pace with innovation and scale. In this session we will utilise the power of automation with the AWS platform to increase the agility of developers while maintaining a strong security posture.
Speaker: David Faulkner, Senior Technical Account Manager, Amazon Web Services
DevOps is a methodology capturing the practices adopted from the very start by the web giants who had a unique opportunity as well as a strong requirement to invent new ways of working due to the very nature of their business: the need to evolve their systems at an unprecedented pace as well as extend them and their business sometimes on a daily basis.
While DevOps makes obviously a critical sense for startups, I believe that the big corporations with large and old-fashioned IT departments are actually the ones that can benefit the most from adopting these principles and practices.
Session on evaluation of DevSecOps. This tutorial is made the very basic process of the DevOps cycle for the beginner level. So sometimes we won’t use very deep technical terms to understand.
Survey after survey prove that DevOps and Continuous Delivery are quickly moving into the mainstream for one reason: they work! Continuous processes done right will increase productivity, speed up time to market, reduce risk, and increase quality. For more information, visit: http://www.dbmaestro.com/
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
5. DevOps = Dev + Ops
Bring Dev & Ops closer together
- Ideally, unified
Culture and Mindset
Set of practices centered on
automation
- Reliability
- Repeatability
- Traceability
- Minimal or no manual intervention
9. DevOps adoption is strongest in the
enterprise (81 percent of enterprises
adopting DevOps compared to 70 percent
in SMBs).
10. Enterprises are adopting DevOps from the bottom
up: Adoption is by projects or teams (29 percent)
and business units or divisions (31 percent) vs.
company-wide (21 percent).
11. Based on a 2016 Puppet Labs study Highly effective
DevOps organizations have the following impact on the
business.
Source: 2016 State of DevOps Report, Puppet Labs
200X
Frequent
Deployments
24X
Return to
Normal
Operations
3X
Change
Failure
22X
Unplanned
Work and
Rework
50%
Security
Remediation
Time
High performing teams offer secure and reliable products, services and
capabilities quicker, faster.
14. Standardize development, test and
production environments.
Effectively deploy and manage cloud
resources.
Eliminate error-prone, time-consuming
manual tasks.
Improve cooperation between
development and operations.
Implement automated release pipelines.
15.
16. Benefits of automation
Automation enables velocity, scale, consistency and
feedback. All of these qualities are of a piece. Any one
depends on the other three – for example;-
you can’t scale unless you are able to quickly add servers
with consistent configurations.
you can’t get feedback automatically without being able to
support different real-time testing and monitoring
techniques.
you can’t respond to feedback effectively unless you have a
high-velocity way to deliver incremental changes safely.
18. Repeatability
Scripts can be repeated and unless your
computer is having a particularly bad
day, you can be reasonably certain that
the same instructions will be executed in
the same order each time the same
script is run.
21. Testing
Scripted processes undergo testing
throughout the development cycle, in
much the same way the system code
does. This greatly improves changes for
successful process execution as the
project progresses. Automated scripts
eventually represent a mature, proven
set of repeatable processes.
22. Versioning
Scripts are artifacts that can be placed
under version control. With manual
processes, the only artifacts that can be
versioned and tracked are procedure
documents. Versioning of human beings
– the other factor in the manual process
equation – is unfortunately not
supported by typical source control
system.
23. Leverage
Another big benefit to automating is that
developers and testers can focus on the
areas where the add real value to a
project – developing and testing new
code and features – instead of worrying
about the underlying development
infrastructure issues.
25. Build and deployment of the system
under design.
Unit test execution and report
generation.
Code coverage report generation
Functional test execution and report
generation.
Load test execution and report
generation.
Code quality metrics report
generation.
Coding conventions report
generation.
27. With automated testing, we are
able to catch problem earlier,
before they impact our release
cycle. The earlier we catch a
problem, the easier and less
expensive it is to fix, and this is why
testing is such an important part of
DevOps practice.
28. Architecture
design
Component
design
Coding Unit
testing
Integration
testing
Acceptance
testing
The V-diagram, common in software engineering, illustrate this:
As you can see, each kind of testing activity (on the right side of the V)
checks a particular phase of development (shown on the left side). The
cost of rework rises as defects are discovered later in the project. It’s
better to begin testing at the vertex of the V, with unit tests. Catching a
defect during a unit test is much easier than trying to fix it when it’s
being tested with other components that might make it difficult to
discover where the actual problem lies.
34. Most modern development teams have set up some
form of build automation. At minimum, build
automation involves check out from source control,
compilation and linking, and packaging the resulting
binaries and other necessary files. These packages
can be then deployed and tested in downstream
processes. If done correctly, build automation
reduces manual labor by developers, ensures builds
are consistent and complete, and improves product
quality.
35. Critical Issues with Build Automation
1. Long Builds
2. Large Volume of Builds
3. Complex Builds
36. 1. The Problem: Long Builds
Why it matters?
Developer wait time
Most developers spend between 2-10 hours per week waiting for builds to
complete – lost time
Context switch
developers switch task, lose context related to the problem they were
working on – reduces productivity
Build bottleneck
Developers sync changes into the main code line and frequent builds are
needed
Product quality
The less frequent the build, the less issues can be fixed and verified befre the
release – hurting product quality
37. 2. The Problem: Large Volume of Builds
Why it matters?
Limited build resources
Limited access to build servers during specific time windows or the servers
are often overloaded and builds will take much longer – hurting productivity
(especially practicing Agile)
38. 3. The Problem: Complex Builds
Why it matters?
Complex builds are brittle
Interactions between many different components often lead to manual error,
broken builds and worse
Extensive manual efforts
Executing a complex build and delivering its results requires a substantial
manual effort
Incremental builds are difficult
An incremental run could break the build due to partially specified
dependencies
Legacy components and fear of change
Complex builds tend to have legacy components written years ago by staff
members who are no longer at the organization
Complex builds are long
As the complexity of the build increases, so the time it takes to run
40. Solution: Improve build speed:
1. Upgrade our build server
2. Running builds in parallel on one machine
3. Build avoidance / incremental builds – running only those parts of the build
that have changed
4. Using a RAM disk – moving the entire build operation to RAM to eliminate
disk I/O
5. Precompiled headers – precompiling shared dependencies that changes less
frequently
Solution: Address long and complex build:
1. Distributed builds – parallelizing build across a cluster of build servers
2. Manually partitioning Makefiles – breaking the build into smaller components
3. Optimizing Makefiles – rewriting Makefiles to make them run more efficiently
4. Unity builds in C/C++ - combining source files into one file to reduce file
access
Solution: Installing free build acceleration tool – e.g. Huddle from Electric Cloud
41. Version Control
- Team Foundation Version Control (TFVC)
- Git
- Branching & Merging
Project Management
- Scrum, Agile
- Defect Tracking, Bugs
QA Testing / Test Case Management
Automated Builds
Automated Release Pipelines
Team
Foundation
Server
44. Advantages of build automation to
software development projects:-
A necessary pre-condition for continuous
integration and continuous testing
Improve product quality
Accelerate the compile and link processing
Eliminate redundant tasks
Minimize “bad builds”
Eliminate dependencies on key personnel
Have history of builds and releases in order
to investigate issues
Save time and money – because of the
reasons listed above.
46. Future GPMT
DevOps
Ecosystem
Workstations - On-Premises
DEV TEST QA
Environments - On-Premises
Build&Test
Build/CI
Test
Develop
Developer
Workstation
Team
Collaboration
Deploy
Release
Monitor&Learn
Monitor
ALMServices - On-Premises
TFS
Monitoring- On-Premises
47. DevOps Orchestration
Reduce costs and improve productivity and
predictability by standardizing Dev and Ops
toolchains
DevOps teams like to move fast, and ship
frequently. Individual teams often depend on
(and are sometimes fiercely loyal to) a unique,
curated toolchain to help them get things
done. But many organizations want to
consolidate tools to gain economies of scale
and allow cross-team sharing. How can they
orchestrate all of these tools in an efficient,
auditable way.
48. Deployment Automation
Automate deployments so App Support and
Ops teams can keep up with the page of Agile
delivery
Consistently deploying applications into
standardized environments is one of the best
ways to achieve application rollout success,
but most teams still rely on hard-coded scripts
and manual instructions. App Support and Ops
teams want to eliminate manual and error-
prone deployment processes to achieve the
velocity needed to deliver any software into
any environment – especially into production,
where value is delivered.
49. Release Management
Control and track applications as they are
promoted along the path to production
Shipping code is the killer feature. Until code is
deployed and accessible by users, no value has
been created. But coordinating release
activities and approvals for both traditional
and CD pipelines across multiple teams and
shared infrastructure is a logistical challenge.
Organizations want a way to manage their
enterprise traditional releases and CD
pipelines in a scalable, auditable and
predictable way.
50. Agile
Automate deployments so Ops teams can keep
up with the pace of Agile delivery
Iterate and integrate often. Time is money.
Requirements are always shifting. Agility is
hard to achieve if your builds and tests take a
long time or are not automated. Nimble,
iterative, and incremental sprints get bogged
down without a solid process automation
framework in place. Organizations want to
automate provisioning, build and release
activities and handoffs to eliminate manual
errors and wait times, shrinks cycle times and
accelerate the feedback loop.
Infrastructure as code
- Allows to automate deployments in different environments (dev, test, staging, prod)
DevOps practitioners rely on automation. An automation platform gives us the ability to describe our entire technology stack as executable code.
Some people might question whether gains in efficiency are typical, noting that they have worked on projects where, in their view, trying to automate tasks actually cost the project more time than it saved. Depending on the situation, this may be a real concern. In addition, automation might have been implemented poorly or carried too far on some projects – but keep reading for on what to automate and when.
Because DevOps is a cultural shift and collaboration (between dev, ops and testing), there is no single “DevOps tool” – it is rather a set, consisting of multiple tools (DevOps toolchain).
Generally, DevOps tools fit into one or more of these categories, which is reflective of key aspects of the software dev and delivery process.
The more components you add to your software, the more lines of code you maintain, and the more tests and routines you run as part of your build process- the longer the build will take to run. Also, some development environments and technologies, like C/C++, tend to be correlated with longer builds.
In Agile work environments, builds are expected to be run frequently and the organization depends on build output to guide development work. Long builds can be a big problem, and one that can “creep up” on a development team.
Why it matters?
Some builds are so long they can only be ran nightly. But even if your “normal” build takes just 20 or 30 minutes more than it should – there are significant costs to your organization:
Developer wait time – as we shown in a survey we conducted last year, most developers spend between 2-10 hours per week waiting for builds to complete – more often than not, this is lost time.
Context switch – while the build runs, developers switch away from the current task to other ones. If the build is long, developers lose context related to the problem they were working on, which reduces productivity. In other words, if builds are supremely fast, developers never have to stop thinking about the problem they are working on right now.
Build bottleneck – during intensive development phases such as “integration storms”, developers sync changes into the main code line and frequent builds are needed to get everything working. The less frequent the build, the less problems dev can solve every workday.
Product quality – when a developer commits changes that break something, it will only be discovered after the build runs. When the bug is fixed, again there is a lag waiting for the next build before QA can verify the fix. The less frequent the build, the less issues can be fixed and verified before the release – hurting product quality.
Sometimes, individual builds run relatively quickly. But in some organizations, there could be dozens or hundreds of builds run in each dev/test cycle. This could be because numerous teams (sometimes thousands of developers) developing different software components, and each running its own build. Or, the dev team might need to deliver numerous versions of the software for different platforms, customized builds for different customers, etc. Some organizations have relatively short builds– but find themselves needing to support dozens, if not hundreds, of these builds at any given time.
Why it matters:
If you’re a build engineer responsible for running 500 builds, you’ll feel the pain even if each of them is 10 minutes long (=~83 hours build time without parallelization). While builds may be short, cumulatively they take very long to run.
But if you’re a developer or QA engineer using such as build system, and your build takes only 10 minutes, why should you care?
Limited build resources – because the organization is running large numbers of builds, you’ll find you have limited access to build servers during specific time windows, or the servers are often overloaded and builds will take much longer.When you rely on running builds often to get fast feedback and fix bugs, you’ll notice that having to “wait in line” for your builds to run hurts your productivity (particularly if you’re practicing Agile), and that you can’t move development fast enough because your waiting for a build server.
Software projects use a large number of modular components: different frameworks, components developed by different teams or by 3rd-party partners, open source libraries, and so on. As your product evolves, there are multiple versions of your own code, and also multiple versions of these many components, creating a many-dimensional matrix of dependencies and supported behaviors. That’s where things get complex to build.
Why it matters:
Complex builds reduce the flexibility of the build process and makes it much more difficult to manage and run the build:
Complex builds are brittle – interactions between many different components often lead to manual error, broken builds and worse – builds that run correctly but introduce bugs due to partial or incorrect sources.
Extensive manual efforts – executing a complex build and delivering its results requires a substantial manual effort. Even if the build is automated, it is typically automated in small pieces/components, and there is no orchestration of the entire process.
Incremental builds are difficult– often you’ll want to run a partial build and re-purpose items that haven’t changed and were previously compiled. With complex builds – due to partially specified dependencies – an incremental run could break the build and teams are forced to run the entire build in all scenarios.
Legacy components and fear of change – complex builds tend to have legacy components written years ago by staff members who are no longer at the organization. This impedes changes or optimizations to the build, for fear of possibly breaking legacy components that are not well understood.
Complex builds are long – there is a correlation between the complexity of the build and the time it takes to run, which introduces additional issues as described above.