Operations | Monitoring | ITSM | DevOps | Cloud

The AI saga continues. I feel like every business felt like they had to add some AI into their product to stay relevant, but reality shows us that's not the case. Same thing at Monitive. Not looking to add AI to our service until it proves its usefulness. However, using it as an internal tool is all doable. I am still not 100% convinced of its usefulness, but I am hoping to radically improve my relationship with our customers, and - thus - the service itself.

Dawid Dębowski is a software engineer at G2A.COM and a Grafana Champion. Holding an MS of Computer Science, Dawid’s main fields of interest related to observability are PromQL and data visualizations using Grafana. If you’ve ever worked with custom metrics in a Prometheus environment, you've probably heard about something called "high cardinality"—or at least I hope you have.

Advanced synthetic monitoring has become an essential for any strong digital plan, not simply a nice-to-have feature. Our reasoning is because users expect websites and apps to work well all the time. As we approach 2026, the top synthetic monitoring solutions have greatly improved, going from just checking if a service is online to ensuring a complete and positive digital experience.

Postman API test automation is a critical part of modern API development. Teams rely on Postman collections, scripts, and automated tests to validate endpoints, catch functional issues early, and ensure APIs behave correctly during development and CI/CD pipelines. But as APIs move into production, test automation alone leaves important gaps.

Synthetic monitoring evolved from simple uptime checks to a complex technical field in modern digital operations. The real challenge for organizations that use synthetic monitoring software isn’t implementing the monitoring; it’s writing scripts that stay accurate, simple to maintain, and resistant to changes in the application.

This guest blog post is authored by Anatoly Mikhaylov, a Principal Engineer at Zendesk and Datadog Ambassador, and by Nick Hefty, a Senior Engineer at Zendesk.

Top Tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’re tackling a critical challenge for modern organizations: creating a culture where knowledge flows freely. Let’s be honest—a team that doesn’t share knowledge eventually hits a wall. In today’s fast-paced environment, keeping information siloed only leads to slow decisions, repeated errors, and missed chances to improve.

Advanced synthetic monitoring has gone from being a technical convenience to a regulatory and operational necessity in today’s dynamic financial services ecosystem, where there is no scope for error. Traditional uptime testing just checks to determine if systems are accessible.

Enterprise networks have evolved from simple on-premises network into a sprawling ecosystem of on-premises infrastructure, cloud platforms, virtual machines, and containerized applications. Organizations are embracing hybrid and multi-cloud strategies to gain agility, scalability, and resilience. But with that evolution comes greater complexity and a new set of challenges for IT teams in maintaining the performance of the hybrid networks.