Learn about Inspektor Gadget for debugging apps in K8s; Headlamp Kubernetes UI; Kepler for evaluating energy consumption; SlimToolkit to optimize containers; SOPS to manage secrets; Clusternet to simplify access to many clusters; Eraser to delete vulnerable images; PipeCD to deploy across different environments; Microcks to generate API mocks; kpt to handle configurations in WYSIWYG; HwameiStor storage for K8s; Xline distributed KV store; and KubeClipper to manage Kubernetes easily.

DevOpsDays Ukraine is a part of the global DevOpsDays family. On 14-15 September, we will have two evenings of online talks and discussions on hottest DevOps topics. 

Programmable data planes offer dynamic control for cloud native applications. Technologies like eBPF and Kubernetes provide an abstraction to improve flexibility, scalability, and performance. Read this article to see how you can use programmable data planes with eBPF, or watch the introductory video for an overview of the concepts.

Kubernetes monitoring is the practice of observing and measuring the health and performance of a Kubernetes cluster and its components.

The main goal is to ensure the availability, reliability, and scalability of the cluster and the applications running on it.

Key metrics to measure include those related to clusters, nodes, pods, deployments, services, containers, and applications.

Best practices for monitoring K8S involve examining details in granular level data; gathering historical system data beyond metrics; understanding control plane monitoring; creating an instrumentation strategy with alerting; using a platform to run containers on physical/virtual machine clusters; utilizing Prometheus; selecting comprehensive Kubernetes monitoring tools.

Popular Kubernetes monitoring tools include Prometheus, Grafana, Fluentd, LOGIQ, and ELK Stack.