Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to a new update of “What’s new in Sysdig.” Happy All Saints’/Souls’ Day! Happy International Pianist Day! Happy Thanksgiving! Happy Diwali! Glad alla helgons dag. The “What’s new in Sysdig” blog has been rotated to a new team, and this month, Peter Andersson is responsible for the publishing. Thanks to Chris Kranz for an excellent job compiling these articles earlier.

A single Kubernetes cluster expends a small percentage of its total available assigned resources on delivering in-cluster networking. We don’t have to be satisfied with this, though—achieving the lowest possible overhead can provide significant cost savings and performance improvements if you are running network-intensive workloads.

If GitHub stars are any indication, Prometheus has been doubling in usage year over year since its inception. While at Moogsoft we love Prometheus as the metrics foundation of our observability platform, there were some challenges to overcome to make it the rock-solid piece of our stack it is today.

Kubernetes is viewed as one of the great equalizers between development and operations teams. Simply write a manifest and the declarative power of Kubernetes is off to fulfill your desired state. Kubernetes is certainly pluggable and has the ability to be extended / opinions being swapped internally. As any IT organization can tell you, even with Kubernetes there is a lot of integration work, and several parts of the stack such as IaC have been left outside of Kubernetes.

Kubernetes dominates the container orchestration market in every way. According to the latest State of Kubernetes and Container Security study, 88% of enterprises utilise Kubernetes to manage a portion of their container workloads. Kubernetes and other orchestration systems have given software deployment and management a new level of robustness and customization. They also brought attention to the current security landscape's shortcomings.

Making an Open Source Software with sensitive data and dozens of external integrations is a real challenge, here are feedbacks and tradeoffs we've made.

Back in May, we announced the Kubernetes integration to help users easily monitor and alert on core Kubernetes cluster metrics using the Grafana Agent, our lightweight observability data collector optimized for sending metric, log, and trace data to Grafana Cloud. Since then, we’ve made some improvements to help our customers go even further.

In this article, we’ll cover the three main challenges you may face when maintaining your own Prometheus LTS solution. In the beginning, Prometheus claimed that it wasn’t a long-term metrics storage, the expected outcome was that somebody would eventually create that long-term storage (LTS) for Prometheus metrics. Currently, there are several open-source projects to provide long-term storage (Prometheus LTS). These community projects are ahead of the rest: Cortex, Thanos, and M3.