Operations | Monitoring | ITSM | DevOps | Cloud

How Power BI Consultants Turn Data Into Business Strategy

In many companies, analytics begins with a sense of chaos. Data is scattered across ERP, CRM, Excel, and marketing platforms. The numbers don't match, duplicates appear, and the answers to simple management questions vary each time. The business sees the metrics but doesn't understand which ones to rely on.

How an All in One GLP-1 App is Transforming Health Management Through Technology

In today's fast-paced world, managing personal health has become increasingly complex. Between balancing nutrition, monitoring exercise, and staying on top of medications, many people struggle to maintain consistent health routines. Fortunately, technology has stepped in to simplify these challenges. One standout example is the emergence of the all in one GLP-1 app, a digital solution that integrates multiple aspects of health management into a single platform. By combining data tracking, personalized insights, and actionable recommendations, these apps are transforming the way individuals approach their health.

How to Build a Hybrid IT Support Model That Actually Works

If you run IT for a digital-first or retail-heavy brand, your world blends HQ users, remote staff, and store or warehouse locations with physical technology in the field. You need reliability without ballooning headcount and predictable speed without late-night heroics. Use this concrete plan to stand up a co-managed operating model. You will see who owns what, how work flows, and how to measure outcomes from day one. The timing is right because IT services spending keeps climbing while leaders sort out what stays in-house versus what goes to partners.

6 Common Factors That Influence Fleet Safety Program Success

Building a safer fleet is not about one silver bullet. It is a set of practical choices that add up, day after day, until safer habits and smarter tools become the way you operate. This article breaks the work into six factors you can act on. Each one is designed to be simple to start, measurable to manage, and durable enough to last when operations get busy.

Channel Tech Trends That Will Drive Productivity and Profit in 2026

Jan 28, 2026 - Zebra Technologies Corporation (NASDAQ: ZBRA), a global leader in digitising and automating workflows to deliver intelligent operations, today announced the key trends shaping the channel across business operations, AI integration, and changing customer needs in 2026.

Now available: More monitor history

We’re excited to roll out an improvement many of you have been asking for: extended historical metrics for website and ping monitors. Until now, monitor metrics like availability, downtime, and response times were limited to the last 24 hours. While useful for short-term checks, this made it harder to spot trends, investigate intermittent issues, or understand long-term performance. That changes today.

Designing an automated SDLC control

For anyone shipping software in regulated industries, the word “control” gets thrown around all over. Compliance frameworks demand controls, auditors verify controls are used, engineering teams implement controls, and there are even Control Owners. But what exactly is a control? And more importantly, how do we design controls that actually serve their intended purpose while enabling rather than hindering delivery velocity?

Fix bugs faster with CircleCI's Chunk AI agent

Bugs hide in plain sight. A date validator that rejects February 29th on leap years. An edge case that slips through code review. A flaky test that passes locally but fails in CI. These issues erode trust in your codebase and waste hours of debugging time. In the era of AI-assisted development, code is being written faster than ever. But speed creates risk.

Boost your test coverage with CircleCI Chunk AI agent

Test coverage is one of those metrics everyone agrees matters until it’s time to actually write the tests. Between shipping features, fixing bugs, and handling production issues, writing comprehensive tests for edge cases and error paths often falls to the bottom of the backlog. The result is coverage gaps that accumulate technical debt and leave your codebase vulnerable to regressions. As AI-powered development tools reshape how we write code, the volume and velocity of changes is accelerating.