Health monitoring and performance troubleshooting aren’t easy. That’s exactly why we’re building Netdata, to democratize monitoring and make it accessible to anyone interested in learning more about their systems and applications. Of course, teaching a complicated topic isn’t easy either. Until recently, the only resource to help new users after installation has been our getting started guide.

Like in 2018, now that 2019 is gone, it is time to look back and see all the major Codefresh features that were added over the past year. The highlight of the year was, of course, the world’s first live debugger for CI/CD pipelines, a feature that makes us really proud since it changes completely the way you create and analyze CI/CD pipelines.

Grafana is an open-source platform for data visualization, monitoring, and analysis. It's designed around providing context-rich visualizations, mainly though graphs but also supports other ways to present data through pluggable panel architecture. Every dashboard is versatile and custom-buildable for specific projects of software development or business requirement. Grafana’s beautiful dashboards are one of the reasons Grafana is so popular with users.

The DevOps infinity loop is a visualization that everyone reading this article is likely familiar with, and one that comfortably predates serverless computing. Yet despite the peculiarities of developing within the serverless paradigm, it’s still what guides our approach to CICD. But while the zoomed-out view might be the same, when it comes to adjusting for serverless, the devil is in the details.

Measuring the maturity of your DevOps team might sound difficult, but it isn’t at all. Simple key performance indicators (KPIs), such as the deployment success rate or mean time between failure, give a good indication of the maturity of your DevOps team. By “mature,” I mean that your team consistently and smoothly operates at a high level and can deploy several times a day with very little risk.

Don’t let the title mislead you, we love DevOps here at Cycle. Without proper DevOps processes, building and scaling cloud-based applications can become a nightmare for maintainability. A proper DevOps plan brings together an organization’s developers, QA support, and operations teams to pursue the goal of delivering software more predictably. An admirable goal for any team and something that can be immensely helpful for even small teams to become more efficient.

If you are a developer who uses containers, chances are you and your team have heard about Kubernetes. At its core, Kubernetes is a container operating system for the web, but has grown to be much more. Sure, Kubernetes can manage your containers, network traffic, and bring up a crashed ad, but it has also become a widely adopted platform with a growing community.

Congratulations!! After 3 months of hard work, your developer has done an incredible job and your brand new web application is ready to be put online. But wait a minute… Who is going to put it online? Try to ask your developer to do it - there is a good chance that he can’t. Why? Deploying applications is not necessarily a part of their qualifications. And even if he is able to, who's going to make sure it's always available and scale as your business grows?

To complement distributed tracing, runtime metrics, log analytics, synthetic testing, and real user monitoring, we’ve made another addition to the application developer’s toolkit to make troubleshooting performance issues even faster and simpler. Today, we’re excited to introduce Profiling—an always-on, production profiler that enables you to continuously analyze code-level performance across your entire environment, with minimal overhead.