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Shifting to a microservice architecture comes with well-known benefits. Isolation between systems and teams means feature teams can iterate faster and the entire software engineering organization can scale with more efficiency and agility.
OpsLevel helps keep your services consistent and healthy through the use of various pre-built checks. But what if you want to write your own checks from scratch? You can now do that with OpsLevel custom checks. Our custom checks API opens up endless possibilities, allowing you to do things such as integrating with your deployment pipeline or container orchestrator, writing your own check scripts, and more.
The DORA (DevOps Research and Assessment) metrics have been a transformative framework for engineering organizations. Based on the pioneering research presented in Accelerate, these four key metrics—deployment frequency, lead time for changes, change failure rate, and mean time to recovery (MTTR)—offer a quantifiable glimpse into the performance and health of software delivery processes. They have become synonymous with DevOps excellence, helping teams understand and optimize their delivery pipelines. But here’s the truth: while DORA metrics are a fantastic starting point, they’re far from the full story. If you rely solely on DORA metrics to assess your team’s productivity and success, you’re missing critical nuances that make or break your organization’s engineering effectiveness. This article will explore why DORA metrics alone aren’t enough and what you should consider instead.
The real value of an internal developer portal (IDP) can be identified in terms of efficiency, standardization, and developer experience. Our customers share their insights.
A developer portal provides a central place for developers to discover, fix, and use services along with other resources.
The ongoing pandemic is forcing companies to modernize their operations and invest in new digital technologies. But as companies double down on digital transformation and race into the cloud, they are creating a considerable amount of technical debt in the process.