Operations | Monitoring | ITSM | DevOps | Cloud

In November 2021, we announced a strategic partnership with Microsoft to develop a Microsoft Azure managed service that lets customers run Grafana natively within their Azure cloud platform. Azure Managed Grafana, which became generally available in August 2022, makes it simple for Azure customers to deploy secure and scalable Grafana instances and connect to open source, cloud, and third-party data sources for visualization and analysis.

Cloud computing and the use of cloud native architectures enable unparalleled performance, flexibility, and velocity. The speed of innovation has driven significant advancements across industries, but as digitalization continues pushing applications and services to the cloud, bad actors’ intrusion techniques have also become more sophisticated.

Most sentences that include both on premises and cloud usually put the word “or” between them, or perhaps “vs.” But most enterprises operate in the world of “and.” In other words, they have workloads on premises and in the cloud—and that little three-letter word makes a world of difference.

Today we are excited to announce scheduled searches – a new feature on Dashbird that allows you to track any log event across your stack, turn it into time-series metric and also configure alert notifications based on it. This has been one of the most requested features across our users and we are thrilled to make it available for all users starting today.

FinOps, or the practice of managing a company’s cloud computing costs, and DevOps, the process of efficiently building applications in the cloud, should ideally go hand-in-hand. Engineers with a streamlined development process and a cost-conscious mindset can produce functional products with great margins and a high potential for scalability. However, incorporating FinOps into the DevOps lifecycle, and vice versa, isn’t always easy.

Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include: performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?

Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?