Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes (K8s) packs a ton of benefits as a container orchestration platform. For instance, K8s is big on automation. This includes automating workload discovery, self-healing, and scaling containerized applications. Yet, Kubernetes isn't always production-ready after a few tweaks. This guide shares crucial Kubernetes best practices you'll want to start using immediately to improve your K8s security, performance, and costs. Let’s get to it!

Are you looking to build a Gatsby website with markdown? This post will take you through the Gatsby development process, from creating the project to deploying it in production on AWS. We will talk about the benefits of using Gatsby and show how to set up markdown, configure Gatsby, and build an article for your demo website.

In the fast-growing Azure space, it is essential to scale your business as Azure scales up. Azure is cost efficient by providing a pay-as-you-go model, but it is still necessary for enterprise users to undergo a Cost Analysis to keep their budget at stack. Let us consider a scenario, you’re a manager in your organization, and your team has been using Azure for the last several months. It has created multiple resources that cost money.

From our experience handling Azure Service Bus messages, one frequent suggestion we get from the support person is to download messages from Azure Service Bus entities like Queues and Topic Subscriptions. By downloading the messages as a local copy, it becomes easy for them to debug the messages and use it at a later point in time. Basic knowledge of Azure Service Bus messaging entities is a pre-requisite for the better understanding of this feature.

Don’t forget, it’s the hardware that makes the cloud The main issues we see with clients and cloud implementations are that it can be very difficult for them to get a clear idea of what it is they are buying and how well it will perform. While the consumption and billing models are clear, it can still be hard to know how much you will pay each month. But what is hard is predicting exactly what the level of performance you will get. Some of this is inevitable.

Imagine you’re part of a software development team that’s working on an important new project. Everyone is excited about the work, but you’re running into trouble. The work wasn’t clearly divided up, so some of the engineers unintentionally did overlapping work. Meanwhile, neither the PM nor the engineers realized that they would eventually need sign-off from an external stakeholder, who doesn’t agree with all of the project requirements.

Your release management process is one of the most critical processes in your organization’s toolkit. An excellent release management process can accelerate software release workflows, allowing your team to deliver software consistently and predictably and ensuring that your customers have an optimal brand experience. But release processes can have weaknesses that slow your team down and can even introduce risk to every release.

Google Kubernetes Engine (GKE) is a managed Kubernetes service that enables users to deploy and orchestrate containerized applications on Google’s infrastructure. Datadog’s GKE integration, when paired with our Kubernetes integration, has always provided deep visibility into the health and performance of your clusters at the node, pod, container, and application levels.