Operations | Monitoring | ITSM | DevOps | Cloud

It is with great excitement that we announce our first-ever supervised ML and security integration! Today, we are releasing a supervised ML solution package to detect domain generation algorithm (DGA) activity in your network data. In addition to a fully trained detection model, our release contains ingest pipeline configurations, anomaly detection jobs, and detection rules that will make your journey from setup to DGA detection smooth and easy.

API tests are key to ensuring your applications receive and respond to requests efficiently. For example, a slow API endpoint or an unexpected timeout in processing a request can significantly affect user experience, so API tests can help you monitor the performance of your endpoints and the overall health of your applications.

With the speed of change in artificial intelligence (AI) and big data, podcasts are an excellent way to stay up-to-date on recent developments, new innovations, and gain exposure to experts’ personal opinions, regardless if they can be proven scientifically. Great examples of the thought-provoking topics that are perfect for a podcast’s longer-form, conversational format include the road to AGI, AI ethics and safety, and the technology’s overall impact on society.

If you’re running Mattermost self-managed editions, there are configuration options and features available to improve the Mattermost user experience. Here are our top ten recommendations to make your Mattermost end users happier and more productive. Your users will thank you! Mattermost gets massively better with every release, and upgrading only takes a few minutes.

18 months ago, Redgate embarked on a new and ambitious journey with the acquisition of Flyway. It’s been quite a ride since then and we thought we’d end 2020 with an update on what’s been happening with the world’s most popular open source migrations framework for database deployments. We’ve learned a lot, and I wanted to share that with you in this post.

Being able to visualize data from all of your tools in a unified dashboard experience has become critical to most enterprises today. With SquaredUp dashboards, you can not only correlate data from SCOM and Azure, but also surface critical information from your other tools and data sources – including ServiceNow, Azure Log Analytics, App Insights, all SQL databases and any Web API. In short, you can get unified dashboards with real-time operational intelligence for all teams across all tools.

Prometheus is an essential element in DevOps. It has one of the largest contributor communities in the open source world and is the favorite database for time-series metrics data. It is also part of Logz.io’s complete observability package, which integrates open source grafana, Jaeger, and ELK Stack into one platform. It’s a favorite for system and container monitoring. This tutorial will show you how Prometheus works with Docker and your local machine.

In collaboration with the AWS team, we have just launched another AWS integration, the AWS IoT SiteWise plugin for Grafana. AWS IoT SiteWise is a managed service that helps users collect, store, organize, and monitor data from industrial equipment, across facilities, at scale.

APIs provide insights for development teams to configure and deploy DevOps infrastructure. API performance metrics aid in the contribution of operational functionalities to the project. API performance metrics are measured in a hierarchical structure in conjunction with operational API metrics. Operational metrics are the most basic set of the metric structure for measuring API performance. The metrics include number of API calls, CPU or memory usage.