Operations | Monitoring | ITSM | DevOps | Cloud

For a long time, IT Ops teams have been trying to keep up with the advancements in data analytics and management. In certain organizations, this problem is charged to DataOps teams. .These teams are tasked with managing data growth and complexity as well as keeping pace with new technologies like Artificial Intelligence driven Ops (AIOps).

If you want to automatically send Apache Kafka messages to an Email recipient or a Slack channel, it is very easy to do with our new Software Bots.

Goodbye May, Hello June! It’s summertime in the northern hemisphere and the sun is shining bright, along with updates we’ve got for you this month. The team at Moogsoft is working on a few big items that will be sure to put a smile on your face. But, lest we forget about some of the smaller items that help you day in and day out.

Since entering the scene in the late 2000s, DevOps has changed the way development and IT operations teams collaborate together to produce and deploy new digital services, apps, features, and updates. DevOps has helped to streamline the production process to ensure more efficient workflows and a more reliable service. This created a shared responsibility between development and operations teams to collaborate together with the goal of creating a premium product or service for their customers.

In an earlier blog, I provided an introduction to AIOps. AIOps is the application of Artificial Intelligence to IT Operations. Many people misunderstand AIOps as replacing or mimicking human intelligence. This is not what AIOps is about. Rather, AIOps seeks to apply algorithms to solve specific problems, often much faster, much more accurately, and at much higher scale than a human ever could solve the problem.