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Containerizing Applications? Read this First!

Moving to the cloud? Containers top the chart when it comes to application modernization while shifting from legacy to cloud. To support the claim, statistics from Gartner do talk in similar numbers, and it’s interesting to know that containers additionally bring down OpEx and boosts productivity. Gartner predicts that by 2022, more than 75% of global organizations will be running containerized applications in production, up from less than 30% today.

Monitor Distributed Microservices with AppDynamics and Rancher

Kubernetes is increasingly becoming a uniform standard for computing – in Edge, in core and in the cloud. At NTS, we recognize this trend and have been systematically building up competencies for this core technology since 2018. As a technically-oriented business, we regularly validate different Kubernetes platforms and we share the view of many analysts (e.g. Forrester or Gartner and Gartner Hype Cycle Reports) that Rancher Labs ranks among the leading players in this sector.

Docker: Secure, but comfortable images.

While developing Docker images for Icinga 2, Icinga Web 2 and Icinga DB we stumbled over OpenShift which doesn’t allow images to run as root by default. One has to enable that explicitly. Also admins of K8s environments being more permissive by default may decide not to allow running as the superuser. So we’ve added a USER directive to our Dockerfiles to make our customers‘ compliance departments happy.

Keep Watch on Docker Hub Pulls with JFrog Log Analytics

Have you heard? Docker Hub now limits usage by free anonymous and credentialed accounts. After the number of pulls from an IP address exceeds a fixed threshold within a six hour period (100 for anonymous, 200 for credentialed), Docker Hub throttles bandwidth. You’ll still get your Docker images, but at a much slower speed. You can read our earlier blog post to learn more about the Docker Hub policy changes.

Best Practices and Considerations for Multi-Tenant SaaS Application Using AWS EKS

Today, most organizations, large or small, are hosting their SaaS application on the cloud using multi-tenant architecture. There are multiple reasons for this, but the most simple and straightforward reasons are cost and scalability. In a multi-tenant architecture, one instance of a software application is shared by multiple tenants (clients).

GitOps Patterns - Auto-Sync Vs. Manual Sync

The conversation usually starts with a question like “should we let ArgoCD/Flux/whatever synchronize the actual state automatically whenever the desired state changes in Git?” Truth be told, the question is usually not that elaborated, and it is more like “should I enable the auto-sync feature?” But, I wanted to save you from follow-up questions that help me better understand what that means, so I gave you a more extended and more precise version of the inquiry.

How to monitor coreDNS

The most common problems and outages in a Kubernetes cluster come from coreDNS, so learning how to monitor coreDNS is crucial. Imagine that your frontend application suddenly goes down. After some time investigating, you discover it’s not resolving the backend endpoint because the DNS keeps returning 500 error codes. The sooner you can get to this conclusion, the faster you can recover your application.

Managing Your Typescript Monorepo With Lerna and Codefresh

Managing dependencies across multiple repositories and implementing updates to multiple repositories at the same time can be a time consuming and error-prone task. Thus, organizations have taken the approach of managing multiple projects in the same repository, called a Monorepo. The benefits of using a Monorepo become clear with the right tooling. One of those tools is Lerna, which can be used to manage Node-based Monorepos.

Fine-tuned container infrastructure: Defining different sets of instance types per node group

Spot by NetApp’s Ocean continuously ensures all pod requirements are met for immediate scheduling by Kubernetes on the right nodes with intelligent bin-packing for optimal resource utilization. In some cases applications will have instance type dependencies, meaning that the application will run optimally on a specific set of cloud compute instances.