Operations | Monitoring | ITSM | DevOps | Cloud

When an incident wakes your team early in the morning, the last thing you want is confusion about who’s responding or how help will arrive. An effective on-call schedule doesn’t just get the right person online. It helps them stay calm, confident, and capable of solving problems quickly. Done right, your on-call setup becomes a powerful lever for reducing Mean Time to Acknowledge (MTTA), Mean Time to Resolve (MTTR), and the overall stress that incidents place on your team.

Imagine navigating a cross-country road trip using nothing but a paper map from the 1980s. Sure, you might eventually reach your destination, but you’d likely miss faster routes, real-time traffic updates, and helpful insights along the way. That’s what it can feel like for modern finance teams to rely solely on spreadsheets for complex financial modeling.

Explore the top 10 innovative platforms showcased at AWS Summit Paris 2025. From DevOps automation to AI and cloud security, discover the latest tools transforming cloud computing and accelerating digital transformation.

Construction site planning is a crucial step to ensure smooth project execution and meet deadlines. Proper organization helps optimize human resources, coordinate subcontractors efficiently, and anticipate potential errors. Effective project management ensures that the entire project runs seamlessly, from initial site analysis to the final milestones. This article presents an effective method for creating your construction schedule, along with essential tools to assist in the process.

As businesses grow, the complexity of managing both physical and virtual assets across owned and leased data centers has become increasingly challenging. Traditionally, IT and Operational Technology (OT) teams have worked with siloed tools to manage their respective domains. On one hand, Data Center Infrastructure Management (DCIM) systems have focused on managing critical infrastructure like power, cooling, and in-rack devices.

Staring at a monitoring dashboard and still feeling like you're missing half the picture? Happens more often than you'd think. Especially when you're dealing with metrics like request durations or payload sizes—data that doesn’t behave nicely or fit into neat little averages. This is where Prometheus' histogram buckets step in. They're not just another metric type; they're a better way to track the messy, uneven world of performance data.

Let’s be honest—your database isn’t just another component. It’s the thing holding everything else together. When it slows down or fails, the ripple effects hit fast and hard. So keeping an eye on its performance? Non-negotiable. The challenge is, there’s no shortage of metrics you could monitor. But not all of them are useful.

Managing fixed assets like machinery, vehicles, office equipment, or IT infrastructure can become complicated if not tracked properly. That’s where a fixed asset register becomes essential. It is not just a spreadsheet or a list—it's a powerful financial tool that helps you manage, monitor, and maximize the value of your assets across their lifecycle. From supporting audits to managing depreciation and procurement, an accurate register plays a vital role in operational efficiency.

A decision-making framework breaking down the strengths, weaknesses and ideal use cases to help users choose the proper protocol for their systems. Initially published in The New Stack We often think of protocol choice as a purely technical decision, but it's a critical factor in the user experience and how your application is consumed. This is a high-impact business decision, making it crucial for the technical team to first understand the business situation and priorities.

The evolving digital technologies and artificial intelligence (AI) fundamentally reshape business dynamics. Analyzing the growth and impact of running online businesses, several organizations from different industries started adapting this modern approach to create revenue streams and enhance their customer experience. On one end, it turned out to be a brilliant strategy; on the other, managing the complex business data and systems was a big challenge.