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Containers

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

Optimize Kubernetes Performance Part 2: Creating Comparisons

The main idea behind Kubernetes is to create a standardized approach to running containers in the cloud. Whether you’re running AKS on Azure or EKS on Amazon, your cluster should still behave in more or less the same way. But that’s not to say you’re locked in to doing things one way; Kubernetes still offers a lot of flexibility in many cases. This is what experienced engineers take advantage of when trying to optimize Kubernetes performance.

Complete Guide on Docker Logs [All access methods included]

Docker logs play a critical role in the management and maintenance of containerized applications. They provide valuable information about the performance and behavior of containers, allowing developers and administrators to troubleshoot issues, monitor resource usage, and optimize application performance. By capturing and analyzing log data, organizations can improve the reliability, security, and efficiency of their containerized environments.

The ultimate guide to scanning Kubernetes workloads using Trivy-Operator

Testing is a vital aspect of security. Unfortunately, there are vulnerabilities that bypass the testing stage and introduce flaws in the production environment. Kubernetes vulnerabilities make more impact when exploited on running applications and production environments. These vulnerabilities can allow hackers to exploit the host machine if the container has escalated privileges.

An Introduction to Talos Linux: The New Kubernetes Operating System

As the cloud native environment becomes increasingly more complex, new systems are needed to combat this issue and create simplified, secure, and stable working environments. Sidero Labs developed Talos Linux as a way to run Kubernetes consistently across all platforms, such as Edge, Cloud, Virtual, and Bare Metal. Talos Linux is a secured Linux distribution designed specifically for managing Kubernetes.

Continuous deployment of a Dockerized .NET Core app to AWS ECR

Containers are a useful tool for deploying applications because they allow for the packaging of an application’s code, libraries, and dependencies into a single, isolated unit. This makes it easy to deploy and run the application on any computer or server that has the necessary container software installed.

Prometheus Alertmanager best practices

Have you ever fallen asleep to the sounds of your on-call team in a Zoom call? If you’ve had the misfortune to sympathize with this experience, you likely understand the problem of Alert Fatigue firsthand. During an active incident, it can be exhausting to tease the upstream root cause from downstream noise while you’re context switching between your terminal and your alerts. This is where Alertmanager comes in, providing a way to mitigate each of the problems related to Alert Fatigue.

G2 Ranks SUSE in Top 25 German Companies

I am thrilled to announce that SUSE has been recognized by G2, the world’s largest and most trusted software marketplace, as one of the Top 25 German Companies in their “Best Software Awards” for 2023. At SUSE, we have always been dedicated to providing our customers with the best possible software solutions and services. This award by G2 is a testament to the hard work and dedication of our entire team.

Optimize Kubernetes Performance Part 1: Cluster Configurations

Kubernetes is a powerful platform that comes with many features to help engineers run their applications more efficiently. However, as you gain more experience and deploy more workloads, you’ll inevitably start looking for ways to optimize Kubernetes performance. There are many ways to approach optimization. On one hand, you could work exclusively with the tools and configurations provided by Kubernetes itself; on the other, you could reap the benefits of third-party tools.

Is Kubernetes Monitoring Flawed?

Kubernetes has come a long way, but the current state of Kubernetes open source monitoring is in need of improvement. This is in part due to the issues related to an unnecessary volume of data related to that monitoring. For example, a 3-node Kubernetes cluster with Prometheus will ship around 40,000 active series by default. Do we really need all that data?