Author: Keval Bhogayata
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Kubernetes Common Errors & How to Fix Them
Learn to troubleshoot common Kubernetes errors like CrashLoopBackOff, OOMKilled, and ImagePullBackOff for smooth pod and cluster performance.
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kubectl Restart Pod: 5 Methods to Restart Kubernetes Pods (With Commands)
Learn how to restart Kubernetes pods using kubectl, why it matters, and the safest methods plus monitor pods easily with Middleware for smarter decisions.
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Automating Stateful Apps with Kubernetes Operators
Automate complex workloads with a K8 Operator. Simplify scaling, backups, upgrades, and observability for stateful apps like databases and message queues.
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Monitoring Kubernetes Application with Middleware
Monitor your Kubernetes clusters application with Middleware. Get real-time dashboards, intelligent alerts, auto-discovery of pods and nodes, and centralized logs for smooth operations.
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Exit Code 137 in Kubernetes: Causes, Diagnosis, and Fixes
Exit code 137 in Kubernetes means a container was killed with SIGKILL, usually due to running out of memory (OOMKilled). Learn the common causes, how to diagnose it, and the best fixes to prevent forced pod terminations.
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Top 10 Kubernetes (K8S) Troubleshooting Techniques
Regardless of its popularity, Kubernetes can fumble even the most seasoned DevOps engineers. While it excels at handling containerised applications at scale, it presents unique Kubernetes troubleshooting challenges. In this post, we’ll explore the top 10 Kubernetes troubleshooting techniques that every DevOps engineer should master. These K8s troubleshooting tips come from real-world scenarios, showing how…
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How to Manage Docker Container Logs for Monitoring & Troubleshooting
Learn how to manage Docker container logs effectively to streamline monitoring, troubleshoot issues faster, and optimize application performance.
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How to Use Prometheus Pod Monitor for Pod-Level Metrics Collection
In Kubernetes, everything runs inside pods. Instead of dealing with containers one by one, Kubernetes uses pods to group them together and manage them more easily. That’s why monitoring pods is so important. You need to know if your apps are running smoothly and how much CPU or memory they’re using. That’s where Prometheus comes…
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Prometheus Labels: Understanding and Best Practices
In observability, Prometheus is a well-known tool amongst SREs and engineers alike. What makes Prometheus so effective is the labels Prometheus implements, which provide context to its metrics and facilitate operations such as filtering and aggregations. New to Prometheus? Learn how it works and why it’s critical for observability in our beginner-friendly guide. By the…
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Understanding API Metrics: What to Monitor in Your API
APIs have significantly changed the way modern software applications are developed. They allow communication and transfer of information between different systems. As many organizations now adopt the API-first design, developers, DevOps, and Product teams need to understand how APIs work. Measuring these APIs’ performance is an important thing to consider because it helps assess their…
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Kubernetes vs Docker: Understanding Their Roles and Differences
Kubernetes vs Docker – discover the key differences, use cases, and how they power modern DevOps and container orchestration.
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Detailed Guide to Prometheus Metrics
Learn how to collect, analyze, and visualize Prometheus metrics effectively. This step-by-step guide covers counters, gauges, histograms, and summaries to help you monitor system performance with ease.
