Operations | Monitoring | ITSM | DevOps | Cloud

React Native performance tactics: Modern strategies and tools

This is a guest post by Simon Grimm, founder of Galaxies.dev, a platform dedicated to helping developers master React Native through hands-on courses, expert guidance, and personal support. React Native performance matters more in 2025 than ever before. With the New Architecture now stable and apps competing against lightning-fast native experiences, users expect sub-second load times and buttery-smooth 60fps interactions.

Extending Unit-Testing on Icinga2

Obviously nobody is disagreeing with this. It’s just that during ongoing development and while focusing on features and bug-fixes, testing often falls behind in priority, especially when developers would need to write tests for existing or legacy code, teams can be hesitant to invest the time. C++ applications have to run a diverse set up target environments, varying in OS, compilers, C/C++ standard libraries and dependency versions.

Every second of digital downtime has a cost.

When a site disruption hits, businesses face immediate and visible fallout: customer churn spikes, and revenue takes a direct hit. If customers can’t transact, your bottom line suffers, plain and simple. This insight comes from a recent Forrester survey commissioned by Catchpoint, where respondents revealed the real business impacts of Internet disruptions.

Pulseway vs. NinjaOne: Why schools chose Pulseway

For a one-person IT team at a growing school, every minute counts. At American Heritage Charter School in Idaho, USA, IT professional Josh Siqueiros needed a solution that was more than just a monitoring tool. He needed a partner that could centralize his operations, save him time and provide rock-solid support. Josh ultimately chose Pulseway over NinjaOne for four key reasons that directly addressed his unique challenges. One of the biggest pain points for any IT professional is onboarding new devices.

What's Hiding in Your Wiring Closets?

Let's be provocative for a moment. You probably don't know what is actually on your network. You have the CMDB, spreadsheets, diagrams from the last big refresh, and the institutional knowledge of your veteran engineers. But is this information accurate? Is it complete? Answering that question with absolute certainty can be difficult for many who manage complex IT environments.

Proactive Observability - Predictive Analytics Models and Algorithms for IT Systems and Metrics

Predictive Analytics Models and Algorithms are an important component of eG Enterprise’s AIOps engine for proactive observability. eG Enterprise collects and analyses metrics, events, logs and traces and the data including real usage data is used to make intelligent predictions to forecast future system behavior and IT resource metric levels.

vmanomaly Deep Dive: Smarter Alerting with AI (Tech Talk Companion)

I was thrilled to host our latest tech talk, where we got to do a deep dive into vmanomaly with the best possible guests: Fred Navruzov, the actual team lead for the product, and Co-Host, Matthias Palmersheim. We covered a ton of ground, from high-level concepts to the nitty-gritty of configuration. For everyone who couldn’t make it, I wanted to share my personal recap of the most important technical takeaways from our conversation.