Operations | Monitoring | ITSM | DevOps | Cloud

Refactor your codebase with CircleCI Chunk AI agent

d function there, and before long you’re navigating a codebase full of inconsistent patterns, repeated logic, and code that’s harder to maintain than it should be. Refactoring is essential, but finding the time to clean up code while shipping features is a constant challenge. The rise of AI-assisted development has accelerated this tension. AI coding assistants help teams ship features faster, but they don’t always produce consistent code.

Optimize your CI/CD pipeline with CircleCI Chunk AI agent

A slow CI/CD pipeline costs more than just time. Developers context-switch while waiting for builds, feedback loops stretch longer, and compute costs add up with every inefficient run. Most teams know their pipelines could be faster, but optimizing configurations requires deep knowledge of caching strategies, parallelism, and resource allocation. The challenge compounds with AI-assisted development. As AI coding assistants help teams ship code faster, pipelines run more frequently.

What API Performance Monitoring Looks Like in Real Production Environments

API performance monitoring has become a critical discipline for modern engineering teams, but most conversations around it stop at metrics, dashboards, and testing tools. Teams measure response time, track error rates, and run performance tests before release, yet APIs still slow down, silently fail, or violate SLAs in production. The problem isn’t a lack of monitoring. It’s a mismatch between how APIs are tested and how they actually behave in the real world.

AI Is WAY More Expensive Than You Think... | SolarWinds TechPod #105

Artificial intelligence isn’t just about innovation and efficiency — it comes with hidden costs. From massive data centers and rising energy consumption to layoffs, governance, and long-term business impact, the real price of AI is often ignored. Companies rush to adopt AI, but are they calculating the true cost for the environment and their bottom line?

How to Pair the WS101 Bluetooth Badge: Discover to Pair Method | Zebra

Unlock the full connectivity of your WS101 Bluetooth communication badge with this step-by-step pairing guide. While the WS101 offers three distinct pairing methods—Discover to Pair, Scan to Pair, and Tap to Pair—this video focuses specifically on the Discover to Pair method. We demonstrate the correct start-up sequence, including the specific LED indicators you need to look for to ensure your device is ready to connect.

How to Install the WS101 Badge Clip & Manage Calls | Zebra

Learn how to properly configure your WS101 Bluetooth communication badge for daily wear and operation. This video demonstrates the correct method for removing the standard clothing clip and attaching a badge clip, allowing for flexible wearing options that suit your workflow. We also cover the essential orientation for the device to ensure optimal microphone and speaker performance, along with a quick guide on how to answer and end calls using the multifunction button. Correct usage ensures you stay connected with your team efficiently.

How to Wear the WS101 on a Lapel & Answer Calls | Zebra

Discover the correct way to wear your Zebra WS101 device for maximum stability and audio clarity. This tutorial demonstrates how to securely attach the device to your clothing using the lapel clip, ensuring it is positioned correctly for daily workflows. You will also learn the quick inputs required to answer and end calls using the multi-function button, keeping you connected while your hands remain free.

Reality Bytes: Nexthink Drops Spark!! Big News (+ Emotions)

The full panel comes together to mark Tim Flower’s final appearance on Reality Bytes, reflecting on his impact, insight, and anchoring presence over the years. Alongside the goodbyes, the conversation turns to a landmark moment for Nexthink: the release of Spark. Framed as a pivotal shift in the capabilities of digital employee experience, Spark is explored through real-world stories and personal takes, including how it empowers employees, reduces IT friction, and redefines support.

Getting Started with Seer - Sentry's AI Debugging Agent

Seer is Sentry's AI Debugging agent that has access to all the context that Sentry pulls together from your applications. Sometimes it shows up predicting bugs before they ship to prod. Sometimes it's catching issues in prod and bringing you the fix. Seer pulls from distributed traces, logs, profiles, stack traces, errors, and your codebase, and helps you find the broken parts of your application and fix them faster.