Operations | Monitoring | ITSM | DevOps | Cloud

A little over a year ago, we released Grafana Machine Learning, enabling Grafana Cloud Pro and Advanced users to easily view forecasts of their time series. We recently enhanced Grafana Machine Learning with Outlier Detection, which allows you to monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when something starts behaving differently than its peers.

Mary Johnston Turner is Research Vice President, Future of Digital Infrastructure, at IDC. Cloud-delivered software, often referred to as SaaS (software-as-a-service) or simply as-a-service software allows customers to quickly test, buy and deploy modern business applications while simultaneously improving digital business agility.

HAProxy Technologies is proud to unveil the 2.7 release of HAProxy Data Plane API. This release was a huge undertaking, and as with the 2.6 release, we focused on extending support for configuration keywords. We are happy to announce that with this release we support all HAProxy configuration keywords in the Data Plane API. Along with enhanced keyword coverage, we’ve added the ability to specify multiple named defaults sections through the API.

GitLab CI is a powerful tool for managing the software development and deployment process. It allows you to define and automate build, test, and deployment pipelines and provides features such as version control, collaboration, and continuous integration. However, while GitLab CI is an excellent tool for managing a single environment, it can have some limitations when it comes to managing multiple environments, especially dynamic environments.

The start of a new year often includes reflecting on what you accomplished over the past year and setting new goals for the year ahead. In 2022, BigPanda set big goals to help organizations prevent and resolve IT and service outages through our innovative Incident Intelligence and Automation platform, powered by AIOps. On average, our customers sent us 2.3 billion events and changes per month, with our largest customers by volume sending us approximately 165 million events each.

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?