Operations | Monitoring | ITSM | DevOps | Cloud

Real User Monitoring (RUM) measures how real users interact with your application in production. Unlike synthetic monitoring, which relies on scripted tests, RUM collects data from actual sessions. This means performance is observed across different devices, networks, and usage patterns. The result is a clear view of how the application behaves under real conditions, where latency is introduced, which features take longer to load, and at what points users drop off.

Search isn’t what it used to be. The way people discover information online is shifting. Instead of clicking through search results, many now ask AI answer engines like ChatGPT and Perplexity to do the research for them. In March 2025, 13.1% of Google desktop searches featured AI Overviews— doubling from over 6% in January, according to Semrush analysis of 10+ million queries.

GraphQL provides a powerful approach to building APIs, and Absinthe is the leading GraphQL implementation for Elixir applications. While GraphQL offers many benefits, it can introduce a set of errors and performance bottlenecks that might be challenging to track and debug. In this article, you’ll learn how to use AppSignal to monitor, debug, and resolve errors in your Absinthe-based GraphQL API.

Cybersecurity leaders across the public sector are facing a moment of reckoning. Whether at the Department of Defense, a federal agency, or a public university, IT teams are under pressure to defend sprawling infrastructure, detect fast-moving threats, and prove compliance across multiple frameworks—all with fewer resources and tighter timelines. This challenge has accelerated interest in Zero Trust Architecture (ZTA), a paradigm shift in how we think about security.

Performance is one of the most critical aspects of any PHP application. A few seconds of delay or an unnoticed bottleneck can cause users to leave your site, increase bounce rates, and reduce business conversions. For developers, ensuring top performance is not always easy. Small coding mistakes, inefficient queries can accumulate into major problems over time. Without visibility into what’s happening inside the application, it becomes difficult to identify the root cause of slowdowns or failures.

When a PHP application hits production, the stakes are high. Even a minor bug can escalate into downtime, data loss, or frustrated customers. For developers, DevOps teams, and SREs, the real challenge is not just writing efficient code but ensuring that the application continues to run flawlessly in production. This is where PHP monitoring tools play a critical role.

The role of third-party SaaS and cloud services in the modern software development stack needs no explanation. Primarily due to the ease of setting up and hooking them together, they make the software development lifecycle (SDLC) much easier than it was 10 years ago. No more managing the overhead of installing, configuring, maintaining, backing up, and scaling of source code repos, virtual machines, and CI/CD systems. Some services don't have any in-house options, e.g. payment gateways.

When your telemetry pipeline starts falling behind, the countdown to production impact has already begun. One Bindplane customer operating a large-scale log ingestion pipeline built on the OpenTelemetry Collector and Kafka hit that breaking point. Instead of keeping pace with incoming data, their pipeline was ingesting just 12,000 events per second (EPS) per partition/collector—and this Kafka topic had 16 partitions. In aggregate, that was roughly 192K EPS.

The IT environments of large enterprises have become so complex that operational teams have turned to two solution categories in particular to help them improve visibility and gain faster incident response, automate and enable more effective decision-making.