Category: Knowledge
-
Kubernetes Deployment: The Misconfigurations That Cause Outages (and How to Fix Them)
Summary: A Kubernetes Deployment is a declarative API object in the apps/v1 group that manages the full lifecycle of a set of identical Pods, including creation, scaling, rolling updates, self-healing, and rollback. It does not run containers directly; instead, it owns a ReplicaSet, which owns the individual Pods. This three-layer hierarchy — Deployment → ReplicaSet → Pod…
-
OOMKilled Kubernetes Error: How to Detect, Fix, and Prevent It
OOMKilled Kubernetes error is one of the most disruptive errors in containerized production environments. The Linux kernel kills your container mid-flight with no warning, drops all in-flight requests, and forces Kubernetes to restart the workload from scratch. If the root cause is not addressed, the cycle repeats until the pod enters CrashLoopBackOff and your service…
-
Bring AI inference into your full-stack observability with the TrueFoundry AI Gateway integration
Getting AI models into production is one challenge. Knowing what they do once they’re there is another. Every inference request carries information you need: latency, token usage, model behavior, finish reason. But wiring observability into each model and provider usually means repetitive, custom instrumentation for every integration. We built Middleware to remove that work. With…
-
Kubernetes Self-Healing: Automatic Pod Crash Remediation with OpsAI
Kubernetes pod crash auto-remediation is the ability to automatically detect why a pod crashed and apply a permanent fix without human intervention. Middleware OpsAI does this by monitoring Kubernetes events, pod metrics, and container logs in real time, diagnosing the root cause of each failure, and patching the cluster directly, for example, raising a memory…
-
How AI Is Changing the Way DevOps Teams Debug Production Issues
TL;DR AI compresses the gap between “something’s wrong” and “here’s why” — without replacing engineers Middleware OpsAI is an AI agent that detects, investigates, explains and fixes production incidents automatically Anomaly detection catches issues before they cross alert thresholds Log clustering + natural language queries replace manual log searching Automated root cause analysis cuts 30-minute…
-
How We Built an AI SRE Agent That Troubleshoots Production Issues Like a Team of Engineers
We built OpsAI because investigating a production incident has become one of the hardest cognitive tasks in software engineering, and the industry’s answer has been to add more dashboards. That’s the wrong answer. As distributed environments grow, the signals get noisier, failures span more systems, and Kubernetes adds layers that nobody fully understands at 3…
-
Logging vs Monitoring: What’s the Difference?
TL;DR: Logging records what happened inside your system. Monitoring watches whether your system is healthy right now. They answer different questions, and neither replaces the other. Logging and monitoring are two of the most commonly used terms in DevOps and engineering, often mentioned together, but they are not the same thing and do not do…
-
Kubernetes & Docker Exit Code 143: Meaning, Causes, and Debugging Guide
When you see exit code 143 and your container stops, the instinct is to assume something broke. In most cases, the container received a shutdown signal and exited on its own. What matters is whether your application handled that signal correctly. In production, how your application handles that shutdown determines whether users see dropped requests,…
-
Complete Guide to Windows Performance Monitoring with Middleware
Windows performance monitoring is critical because Windows servers fail quietly. Memory leaks grow for days before performance tanks. Disk space runs out slowly until SQL Server crashes. These Windows server performance issues often go unnoticed until users report them. CPU spikes at 3 AM, and nobody notices until users call in the morning. You find…
-
The Complete Guide to Observability Pipelines
You know that moment when something breaks in production? Alerts go off, you open logs, and it’s just… noise. Different formats, useless messages, missing context, and the one thing you need isn’t there. That’s the current state of telemetry for most teams. An observability pipeline sits between your data sources and your monitoring tools. It…
-
A New Chapter for Middleware: Joining the Microsoft Pegasus Program 2026
Today marks a defining moment in Middleware’s journey. We’ve been selected for the invite-only Microsoft for Startups Pegasus Program 2026 and are now live on the Microsoft Azure Marketplace. This is more than an accelerator entry; it signals enterprise alignment, technical maturity, and the start of a deep collaboration with Microsoft’s global ecosystem. Table of…
-
How to Do Effective Infrastructure Monitoring for Windows with Middleware
Learn how to set up Windows infrastructure monitoring with Middleware. Track CPU, memory, disk, and network metrics and detect issues before they impact users.
