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

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Datadog & Speedscale: Improve Kubernetes App Performance

By combining traffic replay capabilities from Speedscale with observability from Datadog, SRE Teams can deploy with confidence. It makes sense to centralize your monitoring data into as few silos as possible. With this integration, Speedscale will push the results of various traffic replay conditions into Datadog so it can be combined with the other observability data. Being able to preview application performance by simulating production conditions allows better release decisions. Moreover, a baseline to compare production metrics can provide even earlier signals on degradation and scale problems. Speedscale joined the Datadog Marketplace so customers can shift-left the discovery of performance issues.

Civo Update - August 2022

In July, we released two new enterprise offerings, CivoStack and Edge! CivoStack is an enterprise-ready hyperconverged infrastructure (HCI) solution built for security, performance, and scale. To find out more visit our product page! Edge is our purpose-built Kubernetes hosted infrastructure, designed for on-location edge computing. Created with security, compliance and low latency in mind, find out more here.

Cloud Modernization Best Practices

Cloud services have revolutionized the technical industry, and services and tools of all kinds have been created to help organizations migrate to the cloud and become more scalable in the process. This migration is often referred to as cloud modernization. To successfully implement cloud modernization, you must adapt your existing processes for future feature releases.

17 Best DevOps Tools to Use in 2022 for Infrastructure Automation and Monitoring

You must adopt proper infrastructure automation if you want to enable your teams to achieve faster application delivery while eliminating human errors. Automation of servers, deployment environments, configuration management, and deployments play a vital role in getting a competitive advantage for your product. Monitoring both the infrastructure and application is equally important as well. In this article, we will discuss top tools for infrastructure automation and monitoring.

A Hundred Organizations Trust Us: Why and How they Use Qovery

Since our start in 2019, we are proud to say that a hundred engineering teams from fast-growing organizations trust us to deploy their Production, Staging, and Development Environments on AWS in a few seconds. But why do they use Qovery, and how? That’s what you’re about to discover today!

Setting up a Multi-Architecture Kubernetes Cluster

In the last post we covered the industry shift towards ARM machines for both local and production software engineering. Last time we learned how to create Docker images that would work on multiple architectures for dev machines. Now we want to take this portability and leverage it for cost savings in production. You may be able to transition some of your services into multi-architecture builds.

Elasticsearch on Docker Tutorial | Elastic Docker Containers Configuration - Sematext

In this Elasticsearch/Docker tutorial, we will install and run an Elasticsearch cluster on a single Docker host. We will pull an Elasticsearch Docker image (and Kibana), create a Docker network for the cluster, and deploy it on a local host. Containerizing instances of Elasticsearch helps create a scalable and mobile infrastructure, while not sacrificing system performance. Follow along to create and configure a truly open-source Elasticsearch cluster in Docker.

Kubernetes Master Class: GitOps, Rancher and ArgoCD with Codefresh

Join Robert Sirchia and Dan Garfield for this session. Configuration drift is a common problem software developers face. Picture this: two environments are supposed to be similar but are not. Nobody knows exactly what is deployed in that environment/server/cluster, so people are afraid to touch it. It’s declared “off-limits” because nobody can reconstruct it if it breaks down. People do hot-fixes or ad-hoc changes without recording them, and then those developers change teams or companies.