What is an example of continuous delivery?

Continuous delivery (CD) is a collection of many prior successful agile and organizational best practices. CD focuses an organization on building a streamlined, automated software release process. At the heart of the release process is an iterative feedback loop. The feedback loop revolves around the delivery of software to the end user as quickly as possible, learning from their hands-on experience, and then incorporating that feedback into the next release. CD is an org-wide inclusive methodology that includes non-engineering teams like design, product, and marketing. CD encourages developers to focus on delivering the end-user product, whereas non-CD environments may incentivize “over the wall” behavior, in which the QA team becomes the primary user experience that developers are concerned with. The next sections will discuss specific principles that lay the foundation for CD workflows. Organizational processes have their own development lifecycle. They usually start as manual checklists or “playbooks”, which are lists of tasks performed manually. Later they may be automated with software tools and scripts. Committing these playbooks to software scripts ensures that they are repeatable. If the checklist needs to be run again, a team member can execute the script. Reliability is gained when these playbook scripts are run consistently between environments. For example, the playbook for deploying code to a development or staging environment should mirror the production env...

If you are here, I assume you are aware of Continuous Deployment and how it helps businesses deploy app-level changes, upgrades, and updates in the minimum effort while maximizing productivity and efficiency. Continuous Integration and Continuous Deployment (CI/CD) have simplified software development and deployment cycles by automating processes from production to deployment. Selecting the right Continuous Deployment tool depends on having an understanding of the diversity of tools and whether the features offered by a tool are the right fit for your dev and deployment processes. In this article, I’ll walk you through eight powerful CI/CD tools. In particular, I will mention the features that will continue to add value to your processes in 2022 and onwards. By the end of this article, you’ll have a clear idea of which tool to use, and why, plus how you can build a perfect DevOps pipeline. Image Ref: devops.com CI and CD are often considered two terms for the same process. However, as you can see from the above image, there is a significant difference. Continuous Delivery refers to the delivery of code to the testing teams, while Continuous Deployment refers to the deployment of code to the production environment. Continuous Deployment provides incredible efficiency advantages for businesses with With a Continuous Deployment pipeline in place, teams can respond to customer feedback in near real-time. As customers send in bug reports or requests for new features, teams can ...

Continuous Delivery is the wild west of DevOps. No one uses the same definition. Does CD stand for A quick search for Continuous Delivery tools will turn back a long list of companies that literally have CI ( Not to mention successful So who should you trust? As the writer of this blog, I hope you trust me. But it’s up to you to decide whether I’m an honest sheriff trying to wrangle an out-of-control market, or if I’m a Harness android trying to confuse you even more. Continuous Delivery Origins The term Fast forward through ten years of Continuous Integration innovation, and Jenkins emerged as the defacto CI tool. As CI practices became standardized, a few companies began experimenting with Continuous Delivery. The developers started working on CD using the only context they had: CI tools. They wrote custom scripts on top of Jenkins to create full deployment pipelines. Hence, Jenkins became the first CI/CD tool. Other CI tools picked up on this and soon, every CI tool touted its ability to create However, companies realized they were spending too much time scripting CD. As all of you know, wherever there are custom scripts, there’s an opportunity for a new solution. This is where CI decoupled from CD and Continuous Delivery tools entered the market. Continuous Delivery Fundamentals Continuous Delivery tools help create pipelines to standardize releases. Fundamentally, pipelines can be broken down into five stages: • Testing and QA - These tests are normally performed in a...

Continuous delivery makes up part of The "CI" in CI/CD refers to continuous integration. With continuous integration, new code changes to an app are regularly built, tested, and merged into a shared repository. It’s a solution to the problem of having too many branches of an app in development at once that might conflict with each other. The “CD” in CI/CD can refer to continuous deployment or continuous delivery, which describe ways to automate further stages of the Continuous delivery and continuous deployment, while closely related concepts, are sometimes used separately to specify just how much automation is happening. Continuous delivery usually means a development team’s changes to an application are automatically bug tested and uploaded to a repository (like GitHub or a Continuous deployment, on the other hand, covers some additional steps through the release process of the new software. It usually includes the process of automatically releasing a developer’s changes from the repository to production, where it is usable by customers. It addresses the problem of overloading operations teams with manual processes that slow down the app delivery process. It builds on the benefits of continuous delivery by automating the next stage in the pipeline. A CI/CD pipeline is a series of steps performed in order to deliver a new version of software. When you’ve put CI/CD into practice, you’ve established a CI/CD pipeline. A CI/CD pipeline introduces monitoring and automation to ...

Jez Humble defines Continuous Delivery as, “The ability to get changes of all types—including new features, configuration changes, bug fixes and experiments—into production, or into the hands of users, safely and quickly in a sustainable way.” As the first post-agile methodology, the goal of continuous delivery is to have all deployments be so routine that you can do them at any time with no impact to your customers. Sounds easy! In fact, to do this, you need to automate and simplify all practices and process from requirements to deployment including, quality assurance and testing, continuous integration, configuration management, environments and deployment, data management, release management and organizational structure. In this session, we’ll introduce theses foundational practices of Continuous Delivery. We’ll delve into the details with practical suggestions on how you can get started and make progress in all foundational areas. Along the way, we’ll suggest some tools that could be used to assist your adoption. Lastly, we’ll discuss some of the challenges and roadblocks that you might encounter when you begin your Continuous Delivery journey. Additional Resources Rachael Laycock Rachel is the Head of Technology for North America at ThoughtWorks and is based in New York. She has over 14 years of experience in software delivery, having worked on a wide range of technologies and the integration of many disparate systems. At ThoughtWorks, she has coached teams on Agile a...

DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market. Under a DevOps model, development and operations teams are no longer “siloed.” Sometimes, these two teams are merged into a single team where the engineers work across the entire application lifecycle, from development and test to deployment to operations, and develop a range of skills not limited to a single function. In some DevOps models, quality assurance and security teams may also become more tightly integrated with development and operations and throughout the application lifecycle. When security is the focus of everyone on a DevOps team, this is sometimes referred to as DevSecOps. These teams use practices to automate processes that historically have been manual and slow. They use a technology stack and tooling which help them operate and evolve applications quickly and reliably. These tools also help engineers independently accomplish tasks (for example, deploying code or provisioning infrastructure) that normally would have required help from other teams, and this further increases a team’s velocity. Software and the Internet have transformed th...

In this article, we will look at how to identify and fix performance issues in Go programs using the pprof and trace packages. We will begin by covering the fundamentals of the tools, then delving into practical examples of how to use them. By the end of this article, you will have a solid understanding of how to use these powerful tools to improve the performance of your Go applications. This article takes a look at Project Orleans, an actor model framework from Microsoft. Version 7 makes it a lot easier to get started with, as it builds on top of the .NET IHost abstraction. This allows us to add it to .NET applications in a simple way. On top of that it abstracts away most of the complicated parts, allowing us to focus on the important stuff, the problems we need to solve. DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel-Driven parallelism, the database optimizes performances and multi-core utilization for analytical data processing. Scientific and clinical understanding of how the human nervous system develops and works has increased tremendously. Its implications are so profound they radiate far beyond the field of psychology. Topics such as trauma-informed law, volleyball coaching, legal counseling, education, and social activism have arisen. It is time to consider how it affects working in an agile tech environment. The prin...