Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Sponsored Post

Data-Led Growth: How FinTechs Win with App Event Analytics

In the rapidly shifting world of financial technology (FinTech), acquiring and retaining new customers to achieve long-term business growth requires a proactive approach to user experience and application performance optimization. As FinTech companies compete against rivals to grow a user base and revolutionize how consumers manage their finances, they increasingly depend on data-driven insights to optimize their mobile applications and deliver exceptional user experiences. This is where application event analytics comes into play.

There Is No Good Spring Boot Alternative (Unless You're Doing One of These Three Things)

Every few months a new "we migrated off Spring Boot" post washes across r/java or DZone. The numbers are always impressive. 60% memory reduction, 85% faster startup, cloud bill cut in half. The comments are always full of developers convinced they should be doing the same thing. Is Spring Boot really that bad now? I decided to do my own research. I read every credible public migration case study I could find. I ran benchmarks. I built the internal business case for switching two of our services.

Why Modern Enterprises Still Get Blindsided And How Business Process Observability Changes That

Traditional observability misses business failures Modern monitoring tools can show that systems are technically healthy while critical business outcomes are quietly failing. Business Process Observability (BPO) closes this gap by tracking entire business transactions, like orders, payments, and shipments, instead of just infrastructure and application metrics.

Your telemetry, your apps: Inside the Cribl App Platform

You already use Cribl to tame your telemetry data. Now you can turn that data into apps your teams actually want to use. In this video, we walk through the Cribl app platform and show how real apps solve real problems: guided troubleshooting for noisy incidents, opinionated security views, and exec-friendly ROI dashboards. You’ll see how apps sit on top of Cribl Stream, Edge, Search, and Lake, so you reuse the data and logic you already have instead of building custom tools from scratch.

498 Fake FIFA World Cup Domains and How Phishing Sentinel Catches Them

The FBI published a warning last week. Threat actors have registered more than 498 fake domains tied to the 2026 FIFA World Cup. Fake ticket sites. Fake job listings. Fake merchandise stores. All live in DNS right now. Every one of those domains is catchable. Not after victims report fraud. Before anyone gets hurt. That is what DNS Spy’s Phishing Sentinel is built to do.

High-cardinality metrics at scale: why the standard playbook is wrong

The “high cardinality is expensive” sentence has become observability’s version of “in this economy” — said so often that nobody questions whether it’s true. Every vendor pricing page invokes it. Every glossary article repeats it. Every architecture diagram shows aggregation buffers placed before the storage layer.

Phone numbers now supported in status page contact field

We’ve rolled out a small but useful improvement to the Status Page → General settings. Previously, the Support contact field in the footer only accepted: Based on feedback from our users, the field now also supports phone numbers. Status pages in StatusGator already offer a variety of customization options – including custom branding, layouts, monitor visibility, subscriber settings, and privacy controls.

How a unified data model improves feature flag rollout decisions

Consolidation is reshaping the experimentation and feature management landscape. Tools are merging, and partnerships are being repackaged as platforms. But marketing a unified experience is not the same as building one. Right now, engineering leaders and product managers are reassessing whether the tools they depend on are built for the long term. It’s irrelevant which vendor has the most products.

Monitor LLM routing with the Kubernetes Inference Extension

If you serve LLMs on Kubernetes without inference-aware routing, your load balancer is likely wasting inference capacity. Generic HTTP traffic management blindly routes requests, assuming the backends in your cluster are interchangeable. But your model-serving backends are stateful and unevenly prepared to handle any given request. As a result, requests are often routed to the backend that’s not the one best suited to respond.