Continuous delivery best practices
What are continuous delivery best practices?
Continuous delivery best practices are the core routines that enable some makers of web and cloud applications and services to release code fixes and new features very frequently – often multiple times each day – while maintaining confidence in the quality of the releases. These DevOps practices span across continuous integration (CI) as well as continuous delivery (in comparing continuous integration vs continuous delivery, continuous integration focuses on automatically building and testing the application after each code check-in while continuous delivery requires CI but also entails preparing each good build for possible release to production.) In most cases continuous delivery best practices are complemented by or enabled by tools and technologies.
Common continuous delivery best practices
If your team is striving to deliver high quality software at a fast pace, these continuous delivery best practices can help you succeed:
- Subject everything to source control. Don't only check in your application code – also check in database code, configuration management templates, installation and migration scripts, and any other artifacts that play an important role in getting the application deployed and running in production.
- Fix bad builds immediately. Use automated build tools to trigger a build-and-test run after each check-in, and when the build verification tests report a problem have the Dev team treat it as a "stop the presses" event.
- Use continuous deployment tools to automate and standardize the deployment of executables and supporting artifacts into test and production environments.
- Create and maintain a test environment that approximates as closely as possible the production environment, so that success in the test environment is a strong predictor of success in production.
- Throughout the application delivery pipeline, measure application performance quality as well as functional quality. User experience with your applications will be strongly impacted by performance attributes such as availability, latency, and scalability, so do all you can to ensure that the code that emerges from your delivery pipeline is up to the demands of live traffic.
Building application performance management into your continuous delivery best practices
Organizations adhering to continuous delivery best practices often rely on Dynatrace digital performance management technology to monitor and optimize application performance throughout the DevOps lifecycle:
- Developers use Dynatrace through their preferred IDEs to locally check unit test performance attributes, helping them to detect and correct certain types of performance issues before checking in their code.
- Dynatrace works together with popular build servers and test frameworks so that application performance checks become an integral part of the automated build-and-test routine, and performance quality considerations go into the determination of whether a build is good enough to proceed further through the pipeline or needs immediate attention from the Dev team.
- For applications in production, Dynatrace solutions can monitor the performance of real user transactions and also generate synthetic traffic to proactively monitor application performance.
Across all these stages of the application lifecycle, Dynatrace delivers not only comprehensive performance monitoring but also automatic root cause analysis for performance regressions or anomalies. Dynatrace is easy to use, works with all major application and infrastructure technologies on premises and in the cloud, and supports a range of deployment models to meet the needs of small businesses as well as global organizations practicing enterprise DevOps.
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