Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

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?

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.

The 2026 IT Leader's Priority Shift: Why AI, Resilience, and Visibility Now Outrank Everything Else

IT leaders are replacing traditional focuses with three things that now outrank everything else: AI readiness, operational resilience, and unified visibility. You can’t add another priority to the list. There’s no space left. Your team is already stretched managing hybrid infrastructure, responding to incidents, juggling tool sprawl, and delivering on AI promises while keeping costs under control.

How to Reduce Service Desk Workload with AI and Automation

For many IT directors, the service desk feels permanently stretched. It’s a math problem that is forever in motion. Every quarter brings new apps, new devices, new access rules, and new ways for small issues to become daily interruptions. Even when tooling improves, the queue still grows because the work expands with the environment. The pressure shows up in familiar places, like rising ticket counts, tighter SLAs, and a large backlog of projects that need help.

Seer: debug with AI at every stage of development

When we launched Seer, our AI debugging agent, we built it on a core belief: production context is essential for understanding the complex failure modes of real-world software. Seer uses the detailed telemetry that Sentry collects (errors, spans, logs, metrics, and more) to accurately root cause and fix bugs. Because this telemetry is trace-connected, Seer can deterministically traverse all the data relevant to a problem rather than relying exclusively on imprecise time-range searches.

Fast Track at the airport: how to quickly pass control and save an hour before the gate

Airports today are complex systems where even a well-planned trip can be disrupted by queues, security checks, and time-consuming formalities. For frequent travelers, business passengers, and those who value predictability, time spent waiting has become one of the main stress factors of flying. This is why premium airport services are no longer perceived as luxury but as a practical tool for managing time. One of the most in-demand solutions is Fast Track, especially when it is organized through Sky VIP, a service that focuses on efficiency, personal assistance, and comfort at every stage of the airport journey.

How RecentFollow Helps Creators Stay Aware Without Logging In

Many creators spend more time on Instagram than they would like to admit. Checking notifications turns into scrolling. A quick look at activity becomes half an hour inside the app. Over time, this habit creates fatigue and makes it harder to separate useful signals from noise. That is why more creators look for ways to stay aware without being constantly logged in. Awareness does not always require interaction. In many cases, it simply means understanding what is happening around an account without feeding the algorithm or getting pulled into endless loops.