Operations | Monitoring | ITSM | DevOps | Cloud

Observability has brought a new approach to IT infrastructure management, easing the workload on IT admins across the world and bringing more accuracy and efficiency. One of the clear beneficiaries of this evolution in IT infrastructure management is incident response. Incident response is the systematic process of identifying, analyzing, and mitigating security threats, breaches, or operational issues to minimize their impact on the continuity of business operations.

At Raygun, we’re processing billions of events per month for our customers, so it’s well worthwhile looking for the most efficient data storage solutions. Way back when we started out, we chose lz4net to store data, which served our purposes well for many years. As we grew, though, we realized this was getting expensive, and was starting to undermine our business model. This post is focused on how we made the switch to the K4os.Compression.LZ4 rewrite, attaining significant performance gains.

Network monitoring is the process of continuously scrutinizing a computer network for failures or deficiencies to ensure availability and performance. AIOps (Artificial Intelligence for IT Operations) is an umbrella term for the integration of artificial intelligence (AI) technologies into network operations. It involves using machine learning, analytics, and big data to automate and enhance IT operations.

As cloud adoption expands, subscribing and provisioning resources increase day by day. Regular analysis and assessment are essential to monitor usage, ensuring that cloud resource spending remains efficient and minimizing waste. The assessments can be made using many ways but will need some level of technical competence and regular maintenance: Not all stakeholders will have access and the necessity to check through these tools.

The cloud changed how businesses work, making things more flexible and adaptable. But keeping track of app performance from a user’s point of view in this new setup is tough. Legacy tools tend to not give developers an understanding of their users' perspective. That's where synthetic monitoring comes in. It's a strong way to focus on users and fix the problems that legacy tools miss.

Monitoring Apache web server metrics ensures your web server performs efficiently, securely, and reliably. In this tutorial, you will configure OpenTelemetry Collector to collect Apache metrics and send them to SigNoz for monitoring and visualization. We cover: If you want to jump straight into implementation, start with this prerequisites section.

OpenTelemetry provides a component called OpenTelemetry Collector, which can be used to collect data from multiple sources. Prometheus is a popular metrics monitoring tool that has a wide adoption. If you’re using Prometheus SDKs to generate metrics, you can collect them via OpenTelemetry collector and send them to a backend of your choice.