Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Exploring Nginx metrics with Elastic time series data streams

Elasticsearch® recently released time series data streams for metrics. This not only provides better metrics support in Elastic Observability, but it also helps reduce storage costs. We discussed this in a previous blog. In this blog, we dive into how to enable and use time series data streams by reviewing what a time series metrics document is and the mapping used for enabling time series. In particular, we will showcase this by using Elastic Observability’s Nginx integration.

Motadata AIOps Installation Video

Motadata brings you the ultimate step-by-step guide to installing AIOps! In this video, we'll walk you through each step of the installation process, ensuring a seamless experience. Know how AIOps can reform your operations, streamline processes, and improve efficiency. Don't miss out on the opportunity to enhance your business. Join us now and unlock the power of AIOps!

Hybrid Networks Don't Have to be Complex: How Simplification Changes the Game

Running a hybrid network requires a deep understanding of how data is transmitted, received, and processed, as well as knowledge of different hardware, software, and security protocols. Additionally, as technology evolves, new challenges and considerations arise, such as the integration of IoT devices, SaaS, containers, and the increasing importance of cybersecurity. Overall, computer networking is a constantly evolving field that requires ongoing learning and adaptation.

Data Observability: An Introductory Guide

As more companies rely on data insights to drive critical business decisions, data must be accurate, reliable, and of high quality. Gaining insights from data is essential, but so is the data’s integrity so that you can be sure that data isn’t missing, incorrectly added, or misused. This is where data observability comes in.

$3 Million in Savings and Improved Performance: A Case Study Featuring StackPath

When your business is all about providing cloud services at the edge, optimizing the quality of your network connectivity is paramount to customer success. Learn how StackPath saved $3 million and optimized their network performance by using Kentik.

Lighthouse vs Sitespeed + Graphite: A Comparative Analysis of Web Performance Tools

Web performance is a critical aspect of delivering exceptional user experiences. To measure and optimize website performance, various tools are available, each offering unique features and capabilities. In this article, we will compare two popular web performance tools: Lighthouse and Sitespeed combined with Graphite. We'll explore the strengths and benefits of each toolset, helping you make an informed decision for your performance testing and optimization needs.

Monitor the past, present, and future of your Kubernetes resource utilization

Greetings, Kubernetes Time Lords! Through a series of recent updates to our multi-purpose Kubernetes Monitoring solution in Grafana Cloud, we’ve made it easier than ever to assess your resource utilization, whether you’re looking at yesterday, today, or tomorrow. All companies that use Kubernetes, regardless of size, should monitor their available resource utilization. If a fleet is under-provisioned, the performance and availability of applications and services are at serious risk.

MTTR vs. MTBF vs. MTTF: Understanding Failure Metrics

In the dynamic landscape of software and web applications, failures can have severe consequences, impacting user experience, business continuity, and overall performance. To proactively address these challenges, organizations rely on robust monitoring practices supported by failure metrics. Failure metrics, specifically tailored to software and web application monitoring, provide crucial insights into system health, reliability, and optimization opportunities.

Experience This! What is the Importance of Application Experience?

If you have ever worked in a kitchen, you know how tough it is to be short-staffed. Cooks have to work twice as hard and their performance suffers, leaving not-so-happy customers and comped meals for the complainers. It’s similar to how applications operate. Maybe an application is glitching out from poor coding on the backend or bogging from an influx of data coming in. In either case, the end-user application experience suffers.