Tag: Observability

Logs to Unclog: The Complete Guide to Logging

Introduction to Logging

What Are Logs?

Logs are chronological records of events that occur within software applications, operating systems, and network devices. They serve as the digital equivalent of a ship’s logbook, documenting what happened, when it happened, and often providing context about why it happened.

Why Logging Matters

In today’s distributed systems and microservices architectures, logging is not just helpful — it’s essential. Here’s why:

  • Debugging: Logs provide crucial information for identifying and fixing bugs
  • Monitoring: They enable real-time monitoring of system health and performance
  • Security: Logs help detect security incidents and unauthorized access
  • Compliance: Many regulations require comprehensive logging for audit trails
  • Performance Analysis: They help identify bottlenecks and optimization opportunities
  • Business Intelligence: Application logs can provide insights into user behavior and business metrics

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The Art of Redis Observability: From Metric Overload to Actionable Insights

“A dashboard without context is just a pretty picture. A dashboard with purpose is a lifesaving medical monitor.”

TL;DR

Modern observability systems are drowning in data while starving for insight. This research examines how Redis dashboards specifically demonstrate a critical industry-wide problem: the gap between metric collection and effective signal detection. Through comparative analysis, user studies, and incident retrospectives, I demonstrate how thoughtful metric curation dramatically improves system reliability and operator performance. Continue reading “The Art of Redis Observability: From Metric Overload to Actionable Insights”

A Fun and Easy Guide to Monitoring and Observability With Prometheus

Hi Guys !! I am back with another interesting blog where we learn the concepts but in a funny and easy way.

What is Prometheus ?

Boring Version 💤💤

Prometheus is an open-source monitoring and alerting toolkit originally developed by SoundCloud in 2012. It was designed to monitor systems, track metrics, and trigger alerts based on those metrics. Prometheus uses a powerful query language called PromQL to collect and analyze time-series data from various services and applications. It stores data in a time-series database, making it easy to track trends over time. Prometheus is now a part of the Cloud Native Computing Foundation (CNCF) and is widely used in cloud-native environments for monitoring microservices, containers, and more.

Funny Version 😂😂

Imagine throwing a party where you need to keep track of everything — from who’s dancing to how loud the music is. Prometheus is like your super-organized friend who monitors it all in real-time, sending you alerts if the punch bowl is low or if a conga line breaks out. Born at SoundCloud in 2012, Prometheus quickly became the ultimate party planner for techies, ensuring everything runs smoothly in the cloud-native world.

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Agentless Monitoring: Integrating Supabase Metrics with Grafana Cloud

The Power of Agentless Monitoring

Before we dive into the technicalities, let’s understand the core benefits of agentless monitoring. It’s like having a silent guardian for your application, one that doesn’t require the extra resources or management overhead that traditional agents do. This means less complexity, less maintenance overhead, and better accuracy in your monitoring.

TLDR; If you have a service exposing prometheus compatible endpoint, then you can scrape those metrics directly with services like Grafana Cloud without needing any intermediate agent.

Why Supabase and Grafana Cloud

Supabase is making waves as a top pick for developers needing a backend service, thanks to its solid PostgreSQL base and ease of use.

Grafana Cloud brings a lot to the table, with its easy-to-use features like drag-and-drop dashboards, smart alerts, and even some clever machine learning tricks to help you spot and fix problems before they blow up. In short, Grafana Cloud doesn’t just make monitoring simpler; it makes it smarter, helping developers keep their apps running smoothly and their users happy.

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Deploying Prometheus and Grafana on Kubernetes

Monitoring a Kubernetes Cluster is the need of the hour for any application following a microservices architecture. There are a bunch of solutions that one can implement to monitor their Kubernetes workload and one of them is Prometheus and Grafana. This article will help you to deploy Prometheus and Grafana in your kubernetes cluster with the help of prometheus-operator.

But before setting up these components let’s understand a bit about each of them.

Prometheus

Prometheus is a pull-based open-source monitoring and alerting tool originally built by SoundCloud. It works on a time-series database and scrapes metrics at a given interval from HTTP endpoints. After Kubernetes, Prometheus joined the Cloud Native Computing Foundation in 2016 as the second hosted project.

Alertmanager

The Alertmanager takes care of alerts sent by alerting tools such as the Prometheus server. It handles grouping, silencing, and routing them to the correct receiver integration such as email, PagerDuty, Slack, etc. It also supports the inhibition of alerts.

Grafana

Grafana is the visual representation of metrics collected by a data source which in our case happens to be Prometheus. We can create or import dashboards for grafana which will make use of promQL to visually represent metrics collected by Prometheus.

Continue reading “Deploying Prometheus and Grafana on Kubernetes”