Operations | Monitoring | ITSM | DevOps | Cloud

Grafana Labs recently hosted its first company-wide hackathon, and we joined forces with Björn “Beorn” Rabenstein to bring sparse high-resolution histograms in Prometheus TSDB into a working prototype. The Prometheus TSDB has gained experimental support to store and retrieve these new sparse high-resolution histograms. At PromCon 2021, we presented our exciting, fresh-off-the-presses results from the ongoing project.

Helm has some limits, discover how we extended functionnalities with Rust.

Find out how to use Apache Flink and Apache Kafka to make your pipelines better in this Flink Forward Global 2021 panel recap.

In our previous post , we focused on tips for making the transition and migration to Kubernetes a smoother, and less painful process. In this post, we’d like to now provide some tips from the operational trenches for future-proofing your Kubernetes operation, after making the move. Kubernetes, as a software-driven system, has many benefits for engineers and DevOps teams to take advantage of.

Kubernetes has evolved into the leading platform to build your microservices systems. Given its increased maturity over the past few years as well as the robust ecosystem which has been built around its technology, Kubernetes has become more production-ready than ever. Nevertheless, it still has its own unique set of challenges. In particular, it brings a lot of complexity into play with its adoption.

François, Chris, and I started Interrupt 2.5 years ago because we wanted a repository of great embedded firmware content, which didn’t exist. Looking back at all the posts that our community contributors have published, we think we’ve made a respectable attempt at this goal. Our goals for Interrupt were always more ambitious than just a blog with quality content. We wanted Interrupt to become a hub for everything related to embedded firmware.

With the Calico 3.10 release, Dynamic Packet Capture is available in Dynamic Service Graph. This means users who require self-service, live troubleshooting for microservices and Kubernetes workloads can capture and evaluate traffic packets on endpoints without writing a single line of code or using any 3rd-party troubleshooting tools. Users don’t need to learn about or have knowledge of kubectl or YAML to troubleshoot their microservices and Kubernetes cluster.

Today many enterprise businesses suffer from security attacks but don’t understand how to protect their applications from being exposed. The most common attacks today are simple to execute such as a SQL injection, network Distributed Denial of Service (DDoS), Cross Side Scripting (XSS) and more. These are common attacks that can be mitigated by setting up a security framework to protect enterprise assets.

If you’re a current user of Agile Requirements Designer (ARD), you are most likely using ARD to design your functional tests. But did you know that you can use ARD to create API tests that can be executed with your test automation framework? In this blog, I’ll share five real use cases for creating API tests with ARD. These examples come directly from our customers, and illustrate how our powerful model-based approach can scale your API testing.

I am honored to be able to talk about Splunk’s investment and commitment to the OpenTelemetry project. I would like to take this opportunity to talk about the latest in the OpenTelemetry community, as well as the instrumentation and data collection distributions available from Splunk. Be sure to read through the whole post, as you will find some roadmap information too!