Operations | Monitoring | ITSM | DevOps | Cloud

In any type of organization and at any scale, logs are essential to a comprehensive monitoring stack. They provide granular, point-in-time insights into the health, security, and performance of your whole environment, making them critical for key workflows such as incident response, security investigations, auditing, and performance analysis. Many organizations generate millions (or even billions) of log events across their tech stack every day.

With the growing adoption of automated deployment tools, many organizations are releasing code more frequently. As releases increase, it’s important to ensure that you don’t accidentally introduce faulty deployments, which can have wide-ranging impacts on your infrastructure, application, and end-user experience, and can potentially lead to costly rollbacks.

Earlier this year, we experienced intermittent timeouts in our application while interacting with our database over a period of two weeks. Despite our best efforts, we couldn’t immediately identify a clear cause; there were no code changes that significantly altered our database usage, no sudden changes in traffic, and nothing alarming in our logs, traces, or dashboards. During that two-week period, we deployed 24 different performance and observability-focused changes to address the problem.

Our status page product started last year as an experiment. We built a status page product in a hurry over weekends, and to our surprise, it gained a lot of traction. People were using it and giving us feedback, which helped us improve the product over time. And this year, we're thrilled to announce that we have great things planned for our status page product! The new revemped dashboard is part of a larger plan for our status page product. Here's a quick gist of the multiple releases.

Blob storage is a cloud-based service offered by various cloud providers, designed to store vast amounts of unstructured data such as images, videos, documents, and other types of files. It is highly scalable, cost-effective, and durable, making it an ideal choice for organizations that need to store and manage large data sets for applications like websites, mobile apps, and data analytics.