Operations | Monitoring | ITSM | DevOps | Cloud

Announcing our new Webex Meetings integration

Previously, FireHydrant supported video collaboration tool integrations for Zoom and Google Meet. In response to customer asks, today we are pleased to introduce our new Cisco Webex Meetings integration for all paid plans. With the new integration, teams can automate Webex bridge creation as part of incident response.

GitKraken Client v8.5 Release: Azure DevOps Workspace Support

Working as a team is critical to any mission, whether you’re taking on a galactic empire or pushing your code through your DevOps pipelines. Helping more teams, of all shapes and sizes, work effectively is why we have added support for Azure DevOps repositories in GitKraken Workspaces. We think you will agree, the force is strong with GitKraken Client v8.5 and Azure DevOps Workspaces!

The Hidden Magic of Extensions

AWS Lambda execution lifecycle has main phases: initialization, invocation, and shutdown. In the initialization phase, Lambda creates the runtime environment, downloads the code, imports everything needed, and runs the functions initialization code. In the invocation phase, the Lambda will get an input, process it, and produce an output. After the invocation phase, Lambda will go to an ideal state and wait for the next input.

How to monitor your Microsoft Azure data via MetricFire

In this article, we will explain what Microsoft Azure is and how you can monitor its data. We will also learn how to integrate Microsoft Azure with MetricFire. Last, we will look at the benefits of using MetricFire’s monitoring solution with Azure metrics. Try the free trial version of MetricFire and enjoy all the benefits of using our system. Book a demo with our team and discuss in detail the process of integrating Microsoft Azure and MetricFire.

Deep Learning Toolkit 3.7 and 3.8 - What's New?

We are excited to share the latest advances around the Deep Learning Toolkit App for Splunk (DLTK). Earlier this year, Splunk’s Machine Learning Toolkit (MLTK) was updated with some important changes. Please refer to the blog post Driving Data Innovation with MLTK v5.3 and the official documentation to learn more about what changes were made and most importantly how they may affect you, especially if you run MLTK models in production.