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Containers

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

Coralogix Releases eBPF Observability for K8s Workloads

There are several big barriers to an effective tracing strategy. Modern applications require complex code instrumentation, and legacy applications might not be so easy to alter, and that’s assuming every engineering team can be engaged to make the necessary changes. eBPF & OpenTelemetry flip this entire problem on its head, and Coralogix is one of the first major observability platforms to leverage this exciting functionality, to provide an unobtrusive, low risk overview of your system.

#035 - Beyond Kubernetes: A Veteran of the Container Wars on the Past, Present, and Future of Clo...

This episode of "Kubernetes for Humans" features Dan Ciruli, a Senior Director of Product Management at Nutanix, who shares his journey in tech and his perspective on the evolution of cloud-native technologies. Ciruli discusses his early career as an engineer and his transition to product management, noting that the role was not well-defined in the 1990s. He recounts his experiences with startups, Google, and D2IQ (formerly Mesosphere), highlighting the rise of Docker and projects like Mesos.

Kubernetes Monitoring and Alerting Made Easy with Splunk Observability Cloud and OpenTelemetry

In this video, I'll show you how to quickly setup monitoring and alerting for your Kubernetes clusters using Splunk Observability Cloud. We’ll start by deploying the Splunk OpenTelemetry Collector using Helm, and then use the Kubernetes Navigator inside Splunk Observability Cloud to view the health of our cluster and the applications it’s hosting. I’ll demonstrate AutoDetect detectors and alerts by intentionally triggering an issue in the cluster and walk through the alerting process. We’ll review the alerts in Splunk Observability Cloud and then resolve the issue in the cluster.

Kubernetes Vs. Docker Vs. OpenShift: Understanding Their Roles And Differences

Containers are a big deal today. They are software units that contain all the code, runtime, and dependencies required to run a distributed application. Thus, containers help engineers test and run apps without compatibility issues on any device and platform. Organizations can use containers to reduce engineering costs, speed up deployments, develop and test AI models, and automate more processes. You probably want those benefits as well.

10 Kubernetes Monitoring Tools You Can't-Miss in 2025

Monitoring a Kubernetes cluster isn’t just about keeping an eye on CPU and memory usage. It’s about understanding system health, detecting anomalies before they cause outages, and ensuring applications run smoothly. With so many tools available, choosing the right one can feel overwhelming. This guide covers the best Kubernetes monitoring tools, their use cases, and key factors to consider.

Kubernetes 101

When you get behind the wheel of your car, one of the first things you see is the dashboard. Your dashboard provides various information about all the different technologies that make the car run smoothly, like helping you control your speed, providing insight into your fuel levels, and offering suggestions for regular maintenance, like oil changes. For developers, Kubernetes acts as that one-glance dashboard to provide insights about container performance, maintenance needs, and storage requirements.
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Top 7 Platforms for Ephemeral Environments (September 2024 Edition)

In the ever-evolving software development landscape, ephemeral environments are short-lived, automated setups used for testing, staging, or development. These environments exist only temporarily-created when necessary and destroyed afterward-allowing developers to work in isolation without impacting others. Ephemeral environments are crucial for efficient, conflict-free development, accelerating time-to-market, and enhancing team collaboration. As businesses increasingly adopt agile development practices, platforms for ephemeral environments are growing in demand.

Kubernetes cluster metrics 101

Kubernetes clusters facilitate the management of containerized applications. Imagine coordinating a seamless flow of workloads across servers, ensuring they operate in harmony, regardless of scale. This is exactly what Kubernetes clusters can do for the smooth deployment of your applications. Read on to learn more about Kubernetes clusters, including how to manage them using our list of critical metrics.

All you need to know about Horizontal Pod Autoscaling in Kubernetes

For most organizations, Kubernetes is the preferred containerization platform thanks to its scaling capabilities. Scaling is more than a mere technical endeavor—it helps maintain reliability, efficiency, and smooth user experiences while handling huge data without any business disruptions. It also aids in reducing business expenditures by cutting down on manual labor and avoiding deployment failures.