Operations | Monitoring | ITSM | DevOps | Cloud

In software development, dynamic instrumentation is a powerful linchpin between the development and debugging workflows. With software complexity reaching unprecedented levels, it is also a key enabler in boosting developer productivity in the pursuit of building performant and error-free software. Let’s explore the concept of dynamic instrumentation and understand how it boosts software development processes with unparalleled insights into the source code.

Every moment counts when you’re managing incidents that can affect your services and customers. That’s why we’re excited to introduce a new bi-directional integration between Grafana OnCall and ServiceNow, a popular platform many large organizations rely on to help manage their incidents.

If protecting your file server's integrity is crucial, mastering how to monitor any changes in files and folders in a file server becomes a top priority. This guide takes you through critical steps to track alterations, set up security audits, and employ third-party software for advanced monitoring. Whether facing internal policy compliance or external cyber threats, learn how to immediately detect and react to any unauthorized change to maintain the security of your data.

Cribl offers a suite of tools designed to optimize data pipelines, with different components tailored for managing and orchestrating data flows at scale across different teams and data sources. One of the biggest problems with building and running a multi-team data engine is isolation. This blog will cover how we at Cribl have handled the challenge of data, configuration, and access isolation for growing teams.

Having a fast and reliable website or app is super important. Users want things to load quickly, and if they don't, they get frustrated and might leave. This is where performance monitoring can help. Performance monitoring means keeping an eye on how your website or app is working. It involves tracking things like how fast pages load, how often the site is up, and if there are any slowdowns. By monitoring these things, you can find and fix problems before your users even notice them.

Our storage engine, affectionately known as Retriever, has served us faithfully since the earliest days of Honeycomb. It’s a tool that writes data to disk and reads it back in a way that’s optimized for the time series-based queries our UI and API makes. Its architecture has remained mostly stable through some major shifts in the surrounding system it supports, notably including our 2021 implementation of a new data model for environments and services.