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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Cilium - eBPF Powered Networking, Security & Observability

In this session by Raymond de Jong, Senior Solutions Architect at Isovalent, you'll discover how Cilium with eBPF increases networking performance while providing identity and application-aware security and visibility for your cloud-native workloads. We will also look at Hubble; Cilium's fully distributed networking and security observability platform, and how eBPF enables deep visibility into the communication and behavior of services and networking infrastructure in a completely transparent manner.

How to automate verification of deployments with Argo Rollouts and Elastic Observability

Shipping complex applications at high velocity lead to increased failures. Longer pipelines, scattered microservices, and more code inherently lead to bigger complexity where small mistakes may cost you big time.

Sentry Points of Presence: How We Built a Distributed Ingestion Infrastructure

Event ingestion is one of the most mission-critical components at Sentry, so it’s only natural that we constantly strive to improve its scalability and efficiency. In this blog post, we want to share our journey of designing and building a distributed ingestion infrastructure—Sentry Points of Presence— that handles billions of events per day and helps thousands of organizations see what actually matters and solve critical issues quickly.

Networking, security & observability with Cilium

Raymond de Jong, Senior Solutions Architect at Isovalent, will be our guest as we explore Cilium - a BPF powered open-source Cloud Native Networking solution, providing security, observability, scalability, and superior performance. Civo's own Kunal Kushwaha will also look at using Cilium for network policy security on Civo Kubernetes.

Managing Sensitive Data in Kubernetes with Sealed Secrets and External Secrets Operator (ESO)

Having multiple environments that can be dynamically configured has become akin to modern software development. This is especially true in an enterprise context where the software release cycles typically consist of separate compute environments like dev, stage and production. These environments are usually distinguished by data that drives the specific behavior of the application.