Operations | Monitoring | ITSM | DevOps | Cloud

Logs are an integral part of any system that helps you get information about the application state and how it handles its operations. The goal of this blog is to compare the commonly used logging solutions, i.e., ElasticSearch(ELK stack) and Loki(PLG stack), with SigNoz on three parameters: ingestion, query, and storage. Performance benchmarks are not easy to execute. Each tool has nuances, and the testing environments must aim to provide a level playing field for all tools.

Like many companies, Stack Overflow is trying to get out of the business of running our architecture in our own data centers; instead, we want to offload some of the more mundane parts of system administration to a cloud service offering like Azure. I’m going to cut to the chase for the purpose of this article and concede we’ve already decided on Azure for the majority of our infrastructure and, most importantly to me, our databases.

As a data professional, I often think about all the things around me generating data and consider where this data is ultimately being used. Have you ever taken a minute to consider exactly how much data is being generated at any point in time? I love collecting data and looking at ways it can be used and living in a “smart” home with appliances logging and reporting usage patterns certainly provides a lot of opportunities.

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