5 strategies to reduce false alerts in server monitoring

There are two types of alerts you don't want:

We call these false alerts. As a person with responsibility over your IT infrastructure, it is natural that you have configured your monitoring systems to alert you at every step. But when these false alerts take up too much of your time, one of these unfortunate scenarios may occu...


The importance of benchmarking in digital experience monitoring

Making sure that users have a smooth, pleasurable experience with your digital platform—whether it be a website, mobile application, or any other online service—is essential for business success. Benchmarking is a crucial technique that can increase the usefulness of digital experience monitoring. By offering a point of comparison...


Why traditional event correlation falls short in modern IT and how AIOps can help

Modern IT involves expanding AI adoption, DevOps practices, containers, virtual machines, microservices, and multi-cloud environments. Traditional monitoring tools struggle to keep pace with these due to their reliance on static, rule-based event correlation, which cannot handle the scale, complexity, and speed of modern operations. For tech ...


The ultimate guide to cloud-native application performance monitoring with AWS, GCP, and Azure

The rapid adoption of cloud-native applications has revolutionized how businesses innovate, scale, and optimize costs. These applications leverage microservices, containers, and serverless functions, allowing seamless collaboration across multiple platforms like AWS, GCP, and Azure. However, managing performance in such a distributed environm...


Troubleshooting Kubernetes deployment failures

When something goes wrong during application deployment, it becomes all the more crucial to diagnose the issue methodically and get things back on track. This guide walks you through practical steps for troubleshooting deployment failures efficiently.

A Kubernetes deployment is a vital component for managing and automating the rollout p...


Monitoring for Kubernetes API server performance lags

The Kubernetes API server is considered the core of the control plane. It acts as the main communication hub, processing and validating requests from users, controllers, and other Kubernetes components.

Whether you're deploying a new application, scaling workloads, or retrieving cluster metrics, all interactions go through the API ...


Handling persistent storage problems in Kubernetes clusters

Persistent storage is the backbone of stateful applications running in Kubernetes. Whether you are managing databases, logs, or application states, ensuring transactional data remains intact despite pod restarts or node failures is a challenge. In this blog, we will discuss the most common persistent storage issues in Kubernetes and how to ha...


Enhancing Jenkins performance: Resource optimization for high-traffic workloads

Before diving into optimizations, it's essential to understand how Jenkins consumes resources:

Identifying these bottlenecks through monitoring tools can help optimize Jenkins effectively. You can leverage Site24x7's Jenkins monitoring plugin to track performance issues and stay ahead.


From basics to benefits: A beginner’s guide to cloud computing

Cloud computing powers everything from startups to global enterprises. With it, a new business can scale quickly without investing in expensive servers, while large organizations can store vast amounts of data and run applications seamlessly across the world. Simply put, cloud computing delivers computing resources over the internet that are sca...

Mastering Docker for seamless application deployment

Imagine you're developing an application on your laptop. It runs perfectly, but when you deploy it on a server, things break—dependency mismatches, configuration issues, and endless debugging. Docker eliminates these problems by packaging applications and their dependencies into portable, lightweight containers. This ensures that applications ru...