all video recordings from the last NixCON 2023, Darmstadt, DE

Alerting is an essential step of monitoring. Monitoring provides you visibility into the health of your systems. The benefits of alerting are :
• An alert can contain enough contextual information to help us quickly get started on diagnostic activities.
• Alerting can be used to invoke remediation functions such as autoscaling.
• Alerts can also enable cost-awareness by watching budgets and limits.

In this guide, you’ll learn the basics of Kubernetes audit logging, as well as advice for how to set it up and choose an appropriate backend. You’ll also learn about best practices for getting the most value from the processes.

A community-supported supercharged version of paperless: scan, index and archive all your physical documents

A tool for importing secrets from a pre-existing secrets management systems (e.g. Vault, Secrets Manager) into a SealedSecret.

Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance.

In modern cloud-native environments, Kafka consumers are increasingly deployed within Kubernetes. This setup offers benefits in scalability and deployment ease but also introduces the need for sophisticated scaling strategies that can adapt to the volatile nature of Kafka’s data streams.

a better dotenv–from the creator of `dotenv`

Originally developed in LinkedIn during 2011, Apache Kafka is one of the most popular open-source Apache projects out there. So far it has had a total of 24 notable releases and most intriguingly, its code base has grown at an average rate of 24% throughout each of those releases.

Learn how to upskill yourself to become senior site reliability engineer

Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies

In this article, the Exness SOC (Security Operations Center) team shares approaches to monitoring and detecting threats in the K8s environment

Kubernetes schedules GPU workloads by assigning a whole device to a single job exclusively. This one-to-one relationship leads to massive GPU underutilization, especially for interactive jobs, characterized by significant idle periods and infrequent bursts of heavy GPU usage. Current solutions enable GPU sharing by statically assigning a fixed slice of GPU memory to each co-located job. These solutions are not suitable for interactive scenarios since the number of co-located jobs is limited by the size of physical GPU memory. Consequently, users must know the GPU memory demand of their jobs before submitting them for execution, which is impractical.

Understand Kubernetes Events and learn to use kubectl events to monitor and troubleshoot your cluster’s issues effectively.