Operations | Monitoring | ITSM | DevOps | Cloud

Hey there. Welcome to the fifth and final installment in our series on successfully deploying an app to AWS with the least effort. This week, we'll discuss things you need to worry about now that you've released, plus optimizing your app. Ok, so you've released your app. Congrats! However, we both know your work doesn't end here. You should continue improving your app, both on the end-user side and the back end.

For teams that deal with machine learning (ML), there comes a point in time where training a model on a single machine becomes untenable. This is often followed by the sudden realization that there is more to machine learning than simply model training. There are a myriad of activities that have to happen before, during and after model training. This is especially true for teams that want to productionize their ML models.

Buildah is a tool for building OCI-compatible images through a lower-level coreutils interface. Similar to Podman, Buildah doesn't depend on a daemon such as Docker or CRI-O, and it doesn't require root privileges. Buildah provides a command-line tool that replicates all the commands found in a Dockerfile. This allows you to issue Buildah commands from a scripting language such as Bash.

As our enterprise customers build out large, multi-cluster Kubernetes environments, they are encountering an entirely new set of security challenges, requiring solutions that operate at scale and can be deployed both on-premises and across multiple clouds.

Today, continuous development and continuous delivery have become the de facto mode of application development for businesses seeking higher agility. With the continuous push to achieve higher efficiency and reliability in running software operations, container technologies like Docker, Kubernetes, and Mesos have become mainstream. Among these technologies, Docker is the most popular.

This article will describe the process of installing Rancher 2.4 on a highly available K3s Kubernetes cluster in Microsoft Azure. It will also take advantage of Microsoft Azure Database for MySQL, which removes the dependency on etcd and provides us all the additional features that Azure delivers with this service. You will learn how to deploy the infrastructure to support this pattern using only the Azure Cloud Shell.

Prometheus plays a significant role in the observability area. An increasing number of applications use Prometheus exporters to expose performance and monitoring data, which is later scraped by a Prometheus server. However, when it comes to storage, Prometheus faces some limitations in its scalability and durability since its local storage is limited by single nodes.

Managing stateful applications has been challenging for engineering and operations teams long before the debut of Kubernetes. In this post, we’ll explore all aspects of your deployments of stateful applications on Kubernetes, from the underlying hardware to Pod update strategies, and provide insights into how LogDNA uses stateful Kubernetes to build one of the world’s fastest log management platforms.