Metrics as a Service (MaaS) offers a scalable, cloud-based solution for collecting, storing, and analyzing performance data. By leveraging MaaS platforms, organizations can gain valuable insights into their systems’ behavior and optimize their operations.

Mainframe systems may be the workhorses of many enterprises, but let’s face it, modernization is long overdue for most organizations. With decades-old infrastructure running mission-critical workloads, updating these systems isn’t just about keeping up with the times—it’s about ensuring that your business remains agile, competitive, and efficient. And a big part of this journey? MQ infrastructure. They form the backbone of communication between mainframes and newer technologies.

Why is Slack becoming so popular in incident management? Slack is one of the most popular communication tools used in companies. If you're part of a remote team, your team is probably on Slack or something similar like MS Teams. Although IM tools lack the communication nuances that are taken for granted in face to face interactions, they provide many other advantages.

A comprehensive guide showing how to use PrometheusRemoteWriteExporter to send metrics from OpenTelemetry to Prometheus compatible backends.

In an era where digital infrastructures are increasingly hybrid, the ability to efficiently monitor, analyze, and act on vast amounts of operational data is a significant challenge. According to Gartner, the surge in data volumes, with some workloads producing petabytes of telemetry annually, has led to heightened complexity and soaring costs—potentially exceeding $10 million annually for large enterprises.

Open Shortest Path First (OSPF) is a standard routing protocol that’s been used the world over for many years. Supported by practically every routing vendor, as well as the open source community, OSPF is one of the few protocols in the IT industry you can count on being available just about anywhere you might need it. Enterprise networks that outgrow a single site will often use OSPF to interconnect their campuses and wide area networks (WANs).

Predictive analytics has become a key goal in observability. If teams can foresee potential system failures, performance bottlenecks, or resource constraints before they happen, they can act preemptively to mitigate issues. AI holds the promise of making this possible. In this post, we explore how AI can push observability toward predictive analytics, the industry’s current hurdles, and practical use cases for leveraging AI today.

You hear us at Percepio talking about Observability a lot. For customers using our award-winning Tracealyzer tool, this might sound a bit strange – isn’t Tracealyzer about diagnostics, debugging and profiling? Mostly, yes, but let me share why we are putting so much emphasis on our Continuous Observability solutions.

In today’s complex IT environments, logs are the unsung heroes of infrastructure management. They hold a wealth of information that can mean the difference between reactive firefighting and proactive performance tuning. Log analysis is a process in modern IT and security environments that involves collecting, processing, and interpreting log information generated by computer systems. These systems include the various applications and devices on a business network.