Operations | Monitoring | ITSM | DevOps | Cloud

You’ve built something, it’s live, and users are starting to show up. Maybe you programmed it from scratch, used a tool, or vibe-coded it into existence. No matter how it came to be, the fact that you’ve got users is great! But here’s a question every new developer must eventually ask: how do I know when my site is actually failing? ‍ The thing is, these failures aren’t always obvious.

The enterprise is standing at the edge of a seismic shift: an AI revolution. In the next five years, the way work gets done will be fundamentally reshaped as workflows once handled by humans are increasingly replaced or enhanced by artificial intelligence. But here’s the reality: success won’t come from simply handing out Copilot or GPT licenses and hoping employees figure it out.

Session replay vendors love talking about features and pricing, but rarely publish the technical specs that matter most to developers. We analyzed the actual JavaScript bundles and their performance impacts across five major platforms. You know what's wild? Bundle sizes range from 36KB to over 550KB gzipped. That's the difference between imperceptible impact and noticeable slowdown for your users.

The enterprise software market is entering a new phase. After ServiceNow revealed its ambitions to move into the CRM space earlier this year, all eyes turned to Salesforce, which is widely expected to announce its own IT Service Management (ITSM) solution at Dreamforce, the company's event coming next October.

Companies rely on a variety of services to streamline their workflows, which often requires data synchronization or information sharing across platforms. But are your tools flexible enough to connect with external systems? ServiceNow is widely recognized for its robust and complex workflow support for enterprises. However, it may not always offer the most intuitive or user-friendly experience when handling incidents.

When it comes to running a reliable IT infrastructure, network devices are at the center stage. They sit quietly in the background (routing packets, securing traffic, and keeping teams connected) until something goes wrong. The truth is, without them, nothing works. Every network device has a specific role: some connect users, some protect data, others balance traffic or bridge different protocols.

Background jobs handle the critical work that happens outside the request path: processing payments, sending emails, generating reports, syncing data. They keep applications running smoothly, but the signals they produce look different from API endpoints. Most teams start with queue metrics—how many jobs are waiting and how quickly they complete. These metrics provide the foundation, but job health extends beyond throughput.

Databases handle critical operations for applications, from online banking to e-commerce and streaming services. Any slowdown or failure can directly affect application performance and user experience. Database monitoring tracks performance, detects issues, and helps prevent downtime. It also ensures efficient use of resources, maintains security, and supports compliance requirements.

Managing containerized applications or microservices can be difficult. It is even more demanding and prone to error if you do it manually. So, what’s the alternative? Container orchestration. Container orchestration is an automation technology that enables engineers to coordinate when containers start and stop, schedule and execute tasks, manage failovers, and perform recovery processes. The technology helps automate these tasks throughout a container’s lifecycle.