Operations | Monitoring | ITSM | DevOps | Cloud

On the information superhighway, an IP address is a series of numbers telling the location of a digital resource, similar to having a street address for a building. However, when all you know is the street address, you have no idea what the building itself looks like. If you’re a visual person, you might insert that address into Google Maps to pull up a picture of the building so you have a marker to help find a drive.

Kafka is an open-source distributed streaming platform for high-throughput and fault-tolerant real-time data streaming in large-scale systems. It can integrate with a wide range of data sources and sinks, which include databases, message queues, big data processing frameworks like Apache Spark and Apache Flink, and many more.

If you’ve dropped your house key in tall grass, you know how difficult it is to locate a small item hiding in an overgrown field. Perhaps, you borrowed a metal detector from a friend, then returned to the field hoping to get the loud beep that indicates finding metal in an otherwise organic area. Trying to find patterns in strings of data is the same process.

As AI and ML become more prevalent, administrators can use Site Reliability Engineering (SRE) techniques to manage the ML infrastructure and software.

Advancing digital transformation in government through Search AI and cloud innovation We’re thrilled to share that Elastic has achieved the AWS Government ISV Partner Competency. This prestigious designation recognizes Elastic as an Amazon Web Services (AWS) partner that has proven expertise in delivering high-quality solutions that help government agencies meet mandates, reduce costs, drive efficiencies, and boost innovation.

Log files are invaluable tools for developers and system administrators when it comes to debugging issues within web applications. They often serve as the primary source of information when troubleshooting website malfunctions. Among these logs, the Apache HTTP server’s access log stands out as a key resource for debugging applications and gaining insights into visitor activity.

When discussing observability, the “big 3” - logs, metrics, and traces, always get mentioned. But for some, more data doesn’t always mean better. Our lead engineer, JJ, had some advice to share about how logs may not be necessary for everyone. Simplifying your observability stack isn’t difficult - you just need to be intentional with implementation. Check out more MetricFire blog posts below, and our hosted Graphite service! Get a free trial and start using MetricFire now!