Operations | Monitoring | ITSM | DevOps | Cloud

Like most organizations, we are always trying to be as efficient as possible in our usage of our cloud resources. To help accomplish this, we encourage individual engineering teams at Datadog to look for opportunities to optimize. They can share their performance wins, big or small, in an internal Slack channel along with visualizations and, often, calculations of the resulting annual cost savings.

Monitoring is crucial for schools and nonprofits, and there are dozens of use cases for how nonprofits and schools can implement monitoring. This article will explore them and show you how to start monitoring your organization using MetricFire. We'll also briefly examine EnglishScore, a real customer's use case for monitoring their educational application. We offer up to 40% off your monitoring bill for schools and nonprofits when you switch to MetricFire. Schedule a chat with our team to get a quote!

Daria Volkova is a Grafana champion and Volkov Labs co-founder. The Business Suite for Grafana is a collection of uniquely positioned plugins developed by Volkov Labs. Each offers flexible and adaptable solutions for a wide range of business needs that go beyond observability, including file uploads, building a chart of any kind and configuration, leveraging all aspects of web design, video streaming, and more. This blog post provides details, examples, and short tutorials.

This guide breaks down how recording rules can help, with simple tips to improve performance and manage complex data.

Prometheus is a go-to solution for monitoring containerized environments. This detailed guide will walk you through setting up Prometheus for Docker, helping you achieve robust monitoring for your containerized applications.

Achieving modern observability with a unified data platform and Search AI If you have a love-hate relationship with your data, we don’t blame you. It’s generated at high velocity and from all sides — your apps, endpoints, networks, and servers. By 2025, global data creation is projected to grow by more than 180 zettabytes.* Inside this wealth of data lies better operational resilience, profitability, and innovation.

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.