Operations | Monitoring | ITSM | DevOps | Cloud

This report analyzes cloud provider status data for January 2026, covering 12 major cloud platforms: AWS, Azure DevOps, DigitalOcean, Fly.io, Heroku, Linode, Microsoft Azure, Netlify, Railway, Render, and Vercel. The data includes official incident reports from each provider's status page and early detection capabilities from IsDown's monitoring system.

Today’s software testing trends show the growing demand for more efficient and automated API testing. Manual testing is not only time-intensive for internal testing teams, it can also lead to poor customer experiences. When manual testing processes cannot proactively discover issues, your customers may inevitably be the ones finding them. Many of the current test automation solutions today focus on the UI, while most API-level testing is still done manually.

Percepio TraceExporter for VS Code makes it easy to export Percepio TraceRecorder snapshots during your debug session and open them directly in Percepio Tracealyzer. This is applicable for embedded systems based on Zephyr, FreeRTOS, SafeRTOS, Cesium, ThreadX or PX5, or using TraceRecorder’s “Bare Metal” option. The extension is currently provided in a Beta version as a downloadable.vsix file.

When your company’s help desk receives fifteen "my connection is slow" tickets from remote employees in a single morning. Your network monitoring dashboard shows everything green; VPN concentrators running smoothly, bandwidth usage normal, no alerts. Yet employees can't get their work done. You try to ping their home routers. Nothing. Attempt a traceroute to diagnose the path. It dies at the ISP edge. Check your SNMP queries. They never make it past the residential gateway.

IT operations teams deal with growing system volume, faster release cycles, and tighter service expectations. Traditional monitoring tools generate large alert volumes, yet teams still spend hours sorting signal from noise under pressure. Manual triage slows response time, while disconnected tools stretch incident handling and service recovery.

Google SecOps (formerly Chronicle) is widely used for large-scale security analytics, long-term telemetry retention, and detection across diverse environments. Its Unified Data Model (UDM) enables correlation across sources and supports analytics that operate over long time horizons. To take full advantage of these capabilities, security data must arrive in a consistent and well-structured UDM format. In practice, this is rarely the case.

A repository for this article can be found here.‍ When most developers think about request tracing, they picture instrumentation hooks inside familiar libraries. This allows us to track familiar metrics we see in application performance monitoring (APM) tools such as the duration of an HTTP call or how long a database query takes. But what if you could go deeper and instrument your own Ruby code automatically, without sprinkling timing calls everywhere?

High-performance computing (HPC) clusters rely on fast, reliable shared storage so that expensive CPU cores and GPUs aren’t left idle waiting for data. When bandwidth or I/O bottlenecks emerge, your workloads can slow down as your cluster spends more time on blocked reads, metadata lookups, and sync operations than actually computing.

A newly analyzed threat, Chrysalis, is a sophisticated backdoor attributed to the Chinese APT group Lotus Blossom. The malware employs advanced evasion techniques including heavy obfuscation, API hashing, dynamic DNS resolution, custom encryption and stealthy C2 communication disguised as legitimate traffic.

The secret to hyperscaler success isn’t magic. Kentik Co-founder and CEO Avi Freedman explains how organizations can adopt the same operating principles and empower network teams to drive results that far exceeds their headcount.