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Continuous deployment is the practice of automatically deploying every validated code change to production.If the code passes every required validation [...] Read More... The post...
Image Digital AI’s annual State of Agile report is a survey which has global participation from small, medium-sized and large companies. It asks q...
Database deployments are still one of the most persistent bottlenecks in modern software delivery, mainly because they are still handled manually, governed by isolated approval cha...
Learn how ThousandEyes transformed its deployment culture from manual, fragmented release cycles to a centralized, GitOps-driven model, enhancing digital resilience and developer p...
Everything we run ships continuously. The engine behind the apps, the back office our customers build in, the web products around them — code moves to production at the rhythm of e...
Continuous software delivery in the digital age has come to depend on CI/CD pipelines. They enable engineering teams to rapidly develop, test, and deploy code while keeping it high...
Most teams still tie two things together that shouldn’t be tied together:Continue reading on Medium »
Notes from an AI video project, and the release cadence that turned one team into the project's owners The most common artifact of an enterprise AI rollout is a dead feedback chan...
Introduction Over the past few articles, we have learned how to create AWS infrastructure manually using services like: Amazon EC2 Amazon S3 VPC Route 53 CloudFormation But o...
Continuous integration (CI) automatically builds and tests code changes, while continuous deployment automatically publishes every change that passes those checks [...] Read More.....
Modern software delivery is complex. Developers are responsible not only for writing code that meets business requirements — both functional and non-functional — but also for navig...
In this post, we extend that foundation to demonstrate how QA Studio addresses batch regression testing and pipeline integration through test suites that organize and parallelize e...
Continuous integration and delivery changed the tempo of software. Teams merge dozens of times a day, infrastructure is redefined on every commit, and a new build can reach product...
Both strategies buy you the same thing, which is a cheap way to be wrong. The mechanism is the easy part, and the two hard parts are noticing you are wrong and dealing with the dat...
Раскатка обновлений INTEKEY WMS больше не зависит от того, у кого сегодня открыт SSH и кто помнит, какая сборка где стоит. Мы создали оркестратор, который берёт на себя весь цикл:...
Introduction In the previous article, we learned about AWS CodeCommit, AWS's managed Git repository service. Although CodeCommit can store source code, simply storing code is no...
Originally appeared on Saeloun Blog.Rails 8 ships with Kamal 2 pre-configured, so every new app can deploy to any Linux server with zero downtime and automatic SSL — no PaaS requir...
During my doctoral research on modern engineering practices and operational efficiency, one pattern kept surfacing that I did not expect to find. The engineering teams making the m...
Every few months, a new demo circulates in engineering circles. A product manager types a requirement into a chat window. The AI reads the docs, scans the codebase, writes the code...
Traditional CI/CD pipelines are optimized around a familiar assumption: source code changes, automated tests validate the change, a build artifact is produced, and the application...
CI/CD testing explained: what it is, how the CI/CD pipeline works, where automation tests fit at each stage, and the best practices teams use to ship faster.
Continuous AI agent testing replaces one-off evaluation with a loop: pre-merge checks, a CI gate, release sign-off, and production feedback that writes tests.
Business automation often reaches production without the release discipline applied to application code. A routing rule changes, an approval threshold moves, or an integration star...
In today’s enterprise software delivery environment, AI has moved from a distant possibility to an active area of experimentation across the CI/CD pipeline. The conversation around...
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