Datadog Workflow Automation speeds up incident response and remediation for DevOps, SRE, and security teams by enabling them to automatically run predefined task sequences whenever specific alerts or security signals are triggered. After the feature’s initial release in 2023, Datadog is now excited to announce a significant expansion of its Workflow Automation capabilities with Azure actions, allowing engineers to create automated workflows for their Azure resources for the first time.

The promise of cloud computing has always been about flexibility and cost-effectiveness. Yet many organizations find themselves trapped in a cycle of unpredictable costs and underutilized/overutilized resources. The culprit? A lack of understanding about the power of scaling within platforms like Amazon’s Elastic Kubernetes Service (EKS).

As businesses expand and adapt to the digital era, the need for scalable cloud services becomes paramount. Scalability—the ability of a system to handle growing workloads—ensures that enterprises can thrive without hardware constraints. Industry leaders such as Azure and AWS have been at the forefront of this evolution, continuously enhancing their platforms to provide seamless scalability.

Cloudwatch is a standard component for any AWS user, with tight integrations into every AWS service. While Cloudwatch initially seems like a cost-effective solution, its lack of functionality and flexibility can result in higher costs. Let’s explore Coralogix vs Cloudwatch.

Using OpenTelemetry Collector, you can collect metrics from Azure monitor and export them to any backend of your choice. Azure Monitor is a powerful service within the Microsoft Azure ecosystem that provides extensive metrics and logging capabilities. Yet the siloed nature of data in such tools can obscure the bigger picture, hindering a holistic view of system health. In this tutorial, we cover: If you want to jump straight into implementation, start with this Prerequisites section.

Whenever it comes to a small-scale private cloud infrastructure project roll-out, organisations usually face a serious dilemma. The implementation process often seems complex due to a lack of knowledge, tricky migrations and an immediate need from management to run various extensions, such as Kubernetes, on top.

Cost optimization in cloud environments is no longer a luxury — it’s a necessity. As businesses increasingly migrate to AWS, they are met with the difficult task of ensuring robust performance and scalability, all while keeping an eagle eye on costs. How does one achieve this delicate balance? How can organizations ensure that their AWS architectures are both high-performing and cost-efficient?

When dealing with some of the large enterprise migrations to the public cloud a few years ago, it was immediately clear that a huge process gap in the finance operations of these companies was not only making the finance controller miserable but also challenging the cloud teams as to their autonomy and in general, ability to deliver quickly on the flexibility and speed that the cloud promised.

Kubectl provides a variety of methods for engaging with your Kubernetes cluster, making it a popular choice for developers and administrators when troubleshooting issues or implementing modifications to a cluster.

OpenTelemetry can be used to monitor ECS clusters. In this tutorial, you will install OpenTelemetry Collector to collect ECS metrics and then send the collected data to SigNoz for monitoring and visualization. In this tutorial, we cover: If you want to jump straight into implementation, start with this Pre-requisites section.