Operations | Monitoring | ITSM | DevOps | Cloud

Zebra Mobile Computing AI Suite Overview Video | Zebra

Enhance your Zebra mobile devices with the Zebra Mobile Computing AI Suite, a comprehensive set of advanced AI tools designed to empower frontline workers to perform tasks more efficiently and accurately. This suite includes the AI Data Capture SDK, which offers powerful AI models for a variety of applications. Additionally, solution accelerators with sample applications and APIs are included to expedite the development of AI-driven data capture solutions for enterprise needs like inventory management and price verification. These tools seamlessly integrate into business applications, improving workflow efficiency.

Feature Spotlight: PostGres Mocking #speedscale #postgres #postgresql

Struggling with integration testing because of a Postgres database dependency? Testing can feel impossible when you need to replicate realistic data in Postgres. That’s where Speedscale’s Postgres Mocking Tool comes in. Speedscale drops a recorder into your live system, observes all Postgres traffic, and shows you the actual sequence of statements and responses—making it easier than ever to test reliably.

Unlocking AgentForce ROI - The Playbook Modern Enterprises Need

While enterprises are heavily investing in Salesforce AgentForce, many still struggle to prove a return on investment. Despite the availability of the technology, achieving measurable outcomes remains elusive. This gap was the central theme of a recent iOPEX Technologies webinar titled "Executive Playbook to Driving AgentForce ROI and Strategic Outcomes". The session brought together a panel of leaders with deep experience in Salesforce transformation. What emerged was not another set of abstract claims.

Introducing Request Mirror: a free micro-service to reflect HTTP requests

We have launched Request Mirror, a little free service to reflect HTTP requests. We've also open-sourced it: you can read the code in the ohdearapp/request-mirror.ohdear.app repo on GitHub. In this blog post I'd like to explain why we built it and how you can use it.

AI in Server Monitoring: Why Human Context Still Matters in 2025

When Microsoft rolled out Windows Server 2025 last November, it marked a turning point in how IT teams think about monitoring. Suddenly, AI-powered features like anomaly detection, predictive resolution, and even self-healing aren’t ideas on a roadmap — they’re built into the very fabric of enterprise infrastructure.

The one where we talk about Cribl Guard

Manual hunts for sensitive data are slow, error-prone, and expensive. Cribl Guard combines advanced AI with a human-in-the-loop control point to spot sensitive data, such as credit card, passport, and Social Security numbers, as it flows through Cribl Stream. Whether you’re fully cloud or hybrid, Cribl Guard puts you firmly in control of every piece of sensitive information that crosses your pipes.

Reddit to Reality: Top 7 Omnissa Horizon Performance Issues and Fixes

Slow logons, laggy VDI sessions, and poor Horizon performance are common pain points IT admins face frequently. When Omnissa Horizon environments slow down, both end-users and IT teams feel the pressure—users grow frustrated while admins struggle to troubleshoot without complete visibility. To uncover the real-world Horizon issues admins face, we turned to Reddit forums like r/VMwareHorizon, r/sysadmin, and r/Citrix, where IT professionals openly share their Horizon troubleshooting struggles.

Burndown and burnup: Two charts every engineering dashboard needs

As engineering organizations scale, project visibility becomes a real challenge. Engineering managers lose track of what's actually happening across multiple teams. Executives ask "are we on track?" and get conflicting answers. Status meetings multiply but clarity doesn't improve. The root problem isn't lack of data, modern engineering teams generate tons of project information across JIRA, GitHub, CI/CD pipelines, and project management tools.

How to Connect Jaeger with Your APM

Microservices make it tough to understand how applications behave end-to-end. Most teams already rely on an Application Performance Monitoring (APM) tool to track system health. But as requests move across many services, you also need distributed tracing. Jaeger gives you that visibility. The real value comes from connecting the two. Instead of running APM and Jaeger in silos, you can combine their strengths, metrics from your APM, and traces from Jaeger, to get a clearer view of performance.