Operations | Monitoring | ITSM | DevOps | Cloud

In the modern digital ecosystem, every user activity, system error, application transaction, and network packet movement can be tracked using logs. This level of visibility into systems, networks, and applications is useful for troubleshooting bottlenecks, analyzing past trends, and predicting future events. However, monitoring various cloud-based and on-premises resources becomes complex in the absence of proper log aggregation tools.

In IT environments, all software applications and systems produce logs with varying levels of details or context about different events. These log files are automatically generated, and you can see them as a time-stamped record of events. Traditionally, organizations maintained logs locally or in a self-hosted setup. This was done primarily to meet various compliance mandates.

I’m at an interesting point in my career. I’ve ridden all the rides and managed all the technology things like most ops engineers with some miles. Eventually, you realize—with a few notable exceptions—IT technology is a cycle in which enterprises reimplement the same business functions over and over again. And this realization forces a change.

Maybe you’ve been there. You’re a VP of engineering, or a product owner. There was a critical outage in one of your apps, and it took your team an entire week to track down and fix the issue. Customers and revenue were lost. Now you’re sitting in a review meeting with a consultant hired to figure out what happened and why.