Operations | Monitoring | ITSM | DevOps | Cloud

This is the third and final post (for now) in the series about developing email templates with MJML and deploying them to AWS. In the previous post, we developed a Gulp script to automatically build HTML from the MJML file and insert it in a template file for AWS. In this post, we will set up an automated build and deployment of the email template using Azure DevOps. A quick recap.

Kubernetes is now the de-facto standard for container orchestration. With more and more organizations adopting Kubernetes, it is essential that we get our fundamental ops-infra in place before any migration. In this post, we will learn about leveraging Jenkins and Spinnaker to roll out new versions of your application across different Kubernetes clusters.

This blog dives into detail about one of StackState’s most unique and powerful features, Kubernetes dependency maps. Dependency maps are Kubernetes service and infrastructure maps, enhanced with real-time topology, that show dependencies between all components at any moment in time.

How does Netdata's machine learning (ML) based anomaly detection actually work? Read on to find out!

Microsoft Azure is often hailed for its “limitless potential” and “unlimited possibilities”. But what does that mean in practical terms? How can Azure transform your business operations and why is it worth your attention? In this article, we’ll delve into these questions and illustrate the value of Azure through four key applications that can enhance your business operations and provide tangible benefits.

Container technologies have revolutionized the field of software development. By using containers, you can bundle together an application's source code with its libraries, dependencies, and configurations, ensuring that it runs predictably and reliably on different machines. But how can you be sure that your containers are running smoothly once deployed? That's where container monitoring tools like cAdvisor come in. Below, we'll go over what cAdvisor is and the different use cases for cAdvisor.

Azure Blob Storage is a scalable, cost-effective, and durable cloud storage solution provided by Microsoft Azure. Serving as the backbone for many Azure services, it enables businesses to store a colossal amount of unstructured data ranging from documents, images, backup data, to log files, etc. Azure Blob Storage can handle all your static data that’s stored and read but not changed frequently, making it an indispensable part of any cloud data management strategy.

The cloud holds such promise. It’s the promise of near-infinite scalability, power, and growth potential. Companies switching to the cloud, especially in the early days of the 2010s, were seduced by the possibilities of what could happen if they just spent a little more, raced against their competitors a little faster, or achieved just a bit more product functionality. Could they be the next Twitter? The next Uber? Or something even bigger and better than what had come before?

Azure App Service is a platform as a service (PaaS) offering from Microsoft Azure that allows developers to quickly build, deploy, and scale web apps and APIs on Azure. Azure App Service is designed to be highly scalable, allowing you to easily scale your application to meet changing traffic demands. One of its most important features is auto-scaling, which allows your application to automatically adjust the number of instances it’s running based on changes in traffic or demand.