Nowadays, with growing infrastructure and increased complexity, it’s near impossible to manage configuration changes manually. Let’s look at an example scenario. Imagine you are the network admin of a large enterprise network handling 5,000 devices. You cannot remember the configuration of every device, especially if the network environment also supports multi-vendor devices.
You can integrate Edge Flow Manager (EFM) with Apache Kafka and forward agent heartbeats to defined Kafka topics. Learn how to perform the integration with Apache Kafka. To integrate EFM with Kafka, you need to configure Kafka and EFM properties. EFM supports the forwarding of agent heartbeats and acknowledges messages exchanged on the C2 protocol between the EFM server and MiNiFi agents.
All the various systems in IT, from cloud infrastructures and servers to applications and wireless networks, are hubs for activity and traffic. One way administrators are able to keep an eye on the activity, current and past of their systems, is by keeping logs and analyzing them both in real-time and regularly.
Over the last couple of years, Spike.sh has largely been a Simple Incident Management Platform helping engineering teams across the world. Our focus on simplicity has been well received by all of you and we couldn't be more happy about it. After speaking with users earlier this year, we quickly realised there is a lot we can do to help our responders and help them better than we currently are.
We believe that one of the most powerful capabilities added to the Logz.io Observability Platform in recent months is our new Service Performance Monitoring (SPM) feature set. As you may have seen earlier this year, Logz.io was named a Visionary in the 2022 Gartner® Magic Quadrant(™) for Application Performance Monitoring and Observability. To that end, SPM is a cornerstone for our related solutions.
The why and what we learned from surveying 1,900 engineering teams around their best practices to build, scale, and maintain high availability.
