Operations | Monitoring | ITSM | DevOps | Cloud

Log Retention: Policies, Best Practices & Tools (With Examples)

Logs are the backbone of debugging, security, compliance, and performance monitoring. But if you don’t manage retention properly, you’ll either drown in unnecessary data or lose critical insights too soon. Log retention is all about striking a balance between keeping what’s necessary and discarding what’s not.

High Cardinality Explained: The Basics Without the Jargon

Cardinality refers to the number of unique values in a dataset column. A column with many distinct values—like a user ID or timestamp—has high cardinality, while a column with limited distinct values—like a boolean flag (true/false) or a category with a few possible options—has low cardinality. For example, consider a database of an e-commerce platform.

Types of Pods in Kubernetes: An In-depth Guide

When working with Kubernetes, pods are the fundamental building blocks of deployment. But not all pods are created equal. Understanding the different types of pods and their use cases is crucial for optimizing workloads, ensuring reliability, and maintaining efficiency in your cluster. Let's break it all down.

Telemetry Data Platform: Everything You Need to Know

As systems grow more distributed and complex, having a reliable way to monitor and understand what's happening across your infrastructure becomes essential. Telemetry data provides the visibility needed to keep everything running smoothly, whether you're managing microservices, cloud environments, or sophisticated AI systems. In this guide, we’ll break down what a telemetry data platform is, why it’s so important, and how you can choose the right one to meet your needs.

How to Filter Docker Logs with Grep

Managing logs in Docker can quickly become overwhelming, especially when dealing with multiple containers. If you’ve ever tried to sift through a sea of log entries looking for a specific error or debugging message, you know the struggle. Fortunately, you can pipe docker logs output through grep to filter logs efficiently. This guide breaks down how to use docker logs grep it effectively, including practical examples to help you debug and monitor your containerized applications like a pro.

Ubuntu System Logs: How to Find and Use Them

System logs play a crucial role in debugging and monitoring in Ubuntu. When a service misbehaves or an unexpected crash happens, logs hold the answers. They’re also great for keeping an eye on system performance. Knowing how to access, read, and manage these logs can save you hours of troubleshooting. This guide covers everything you need to know about Ubuntu system logs—from where they’re stored to how to analyze them efficiently.

Distributed Tracing 101: Definition, Working and Implementation

Modern applications rely on microservices, making it tough to track issues across services. Distributed tracing helps by mapping a request’s journey and pinpointing latency, failures, and dependencies. Unlike traditional monitoring, tracing connects the dots between services, offering deeper visibility. But implementing it isn’t easy—it brings high data volumes, performance overhead, and complexity.

AWS CSPM Explained: How to Secure Your Cloud the Right Way

As organizations expand their AWS footprint, maintaining visibility and control over configurations can be challenging. Misconfigurations, unnoticed vulnerabilities, and compliance gaps can create serious security risks. AWS Cloud Security Posture Management (CSPM) helps teams navigate these challenges by automating security checks, ensuring compliance, and providing continuous monitoring. Here’s what you need to know about AWS CSPM and why it’s essential for securing your cloud environment.

Monitoring Kubernetes Resource Usage with kubectl top

Efficient resource utilization is key to running Kubernetes workloads smoothly. Whether you're troubleshooting performance issues, optimizing resource requests and limits, or keeping an eye on cluster health, the kubectl top command is an essential tool. It provides real-time CPU and memory usage metrics for nodes and pods, helping you make informed decisions about scaling and resource allocation.

Log Levels: Answers to the Most Common Questions

Logging is essential for understanding what’s happening inside your software. It helps developers and operators catch issues, monitor system health, and track application behavior. A big part of logging is log levels—these indicate how serious a message is, from routine updates to critical errors. In this post, we’ll break down everything you need to know about log levels, how they compare to Syslog log levels, and best practices for making the most of your logs.