Keep an automated record of truth
Unify your entire tech stack
Restoring knowledge & generating insight
Measure and improve software health
Action on cross-cutting initiatives with ease
Get actionable insights
Spin up new services within guardrails
Empower devs to do more on their own
Tap into API & Tech Docs in one single place
Set and rollout best practices for your software
Build accountability and clarity into your catalog
Free up your team to focus on high-impact work
We support leading engineering teams to deliver high-quality software, faster.
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When you’re designing a microservice architecture, there are a lot of questions you have to answer. Some of them make themselves apparent very early in the process.
Welcome to Level-Up, an exclusive interview series with standout engineering leaders who share what’s top of mind for them. This interview puts the spotlight on Seth Lochen, Senior Engineering Manager at Groupon. Let us know who we should talk to next!
We’re kicking off an interview series, called Level-Up, with standout engineering leaders to learn what’s top of mind for them. Check out the full interview at the bottom of this post. And let us know who we should talk to next!
Let's explore Backstage, the problems it attempts to solve, and considerations to make before bringing it into your organization.
More software, more problems? Software is eating the world and that means more people and teams are developing software. To stay current and competitive, modern organizations are scaling their software engineering teams.
The term “DevOps” entered the IT industry in 2009 with the first DevOpsDays event held in Ghent, Belgium. But the world is constantly changing. Since 2009, the IT space has shifted dramatically. Containers, microservices, and “serverless” computing have all taken the world by storm in the last decade. The term “DevOps” has also undergone a sort of transformation, though OpsLevel is bringing it back to its roots of Service Ownership.
Kubernetes is great because of its almost limitless configurability. But this configurability makes it hard to ensure that best practices are followed consistently across your cluster.
Years ago, end-to-end software development involved dividing tasks based on where they fell in the system life cycle. One team wrote the code. Then another team deployed it to production. And yet another team monitored and maintained the service. This led to a lot of friction, needless handoffs, and bottlenecks.
When starting a new job, have you ever asked yourself: How much time should I spend learning about the code? The product? The process? Was I expected to know Technology/Framework/Design Pattern X?Is my ticket taking too long?