Operations | Monitoring | ITSM | DevOps | Cloud

Product Release

Introducing easy custom event monitoring for serverless applications.

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.

Longhorn 1.4 - Starting A New Year With A New Release

The team are excited to start the new year with the latest release for Longhorn 1.4. This latest version is packed with new features and enhancements designed to help make cloud native enterprise storage simpler and more accessible to the cloud native community. For existing users of Longhorn, this latest release is focused on helping you build better value and resiliency across your storage strategy.

Announcing HAProxy Data Plane API 2.7

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.

Spot Eco: Introducing a faster, more flexible dashboard

With Eco’s automated reservation management, maximizing savings on your cloud bill and increasing your team’s bandwidth is easy. The new dashboard now includes responsive modular components and an improved commitment filter, so tracking savings and monitoring your environment is even easier.

Cron Job Monitoring Beta - Because scheduled jobs fail too

Do your cron jobs (aka scheduled jobs) ever fail or not run as expected? Scheduled jobs are supposed to be predictable – as the name implies. But as with many things, predictable!= reliable. Cron jobs fail too and we think you should know when that happens, Crons allows you to monitor the uptime and performance of any scheduled, recurring job in Sentry. Once set up, you’ll get alerts and metrics to help you solve errors, detect timeouts, and prevent disruptions to your service.

CFEngine 3.21 LTS released - Unification

Today, we are pleased to announce the release of CFEngine 3.21.0! The focus of this new version has been unification. Across our websites and UI, you should see that it’s a much more modern and unified experience, whether you’re reading this blog post on cfengine.com, browsing the new documentation site, looking for modules on the CFEngine Build website, or adding input to modules within Build in Mission Portal.

Grafana Agent v0.30: Flow adds support for logging pipelines and graduates to beta

Grafana Agent v0.30 is here! The past couple of Grafana Agent releases have been pretty exciting for us. We introduced Agent Flow as a new way to configure, run, and debug telemetry pipelines. We also announced OpenTelemetry Collector components to expand on our Big Tent philosophy and allow users to switch seamlessly between the Prometheus and OTel ecosystems. This latest release continues that momentum by introducing Loki components for building logging pipelines and marking Flow mode as beta!

Update: Expanding our new API functionality

Today we continue on our journey towards being API-first with two new updates – non-expiring tokens and regenerating API keys. As you may have seen, late last month we made the exciting announcement about the launch of our Public API. Delivering a world-class API is a core focus here at Raygun. We’re on a mission to give you greater control over how you can extract, manipulate, and visualize the powerful insights surfaced in Raygun, so that you can use them in exciting new ways.

LM Envision Application Topology: A New Way To Visualize Application Connections

Finding service relationships and diagnosing bottlenecks within an application can be incredibly difficult to accomplish, especially if your applications are spread across multiple services, with both internal and external service calls. Although users could get granular visibility into individual traces using our Distributed Tracing features, they couldn’t see how their services were connected across different traces.