Operations | Monitoring | ITSM | DevOps | Cloud

Top tips is a weekly column where we highlight what’s trending in the tech world and share practical ways to stay ahead. This week, let’s look at a few simple ways to take back control of your recommendations, and stop your algorithm from deciding who you are. Let's say you search for a video about running—not because you're planning to run a marathon, but because you just saw someone mention it and wondered what the hype was about. You watch one video. Then another.

RISE with SAP is SAP’s methodology and commercial program for implementation and migration to SAP Cloud ERP Private. The product is SAP Cloud ERP Private, renamed in July 2025. Like RISE, GROW also transitioned from product to program, and the product parallel is SAP Cloud ERP Public.

Kafka is a crucial and widely used technology: 80% of the Fortune 100 rely on the event streaming platform as part of their stack, according to Apache. But Kafka issues can be complex to manage and even more difficult to troubleshoot, as the same symptom can point to very different problems. Suppose consumer lag on your checkout-events topic suddenly exceeds its SLA.

When Datadog acquires a company, we usually rebuild the product rather than plugging it in as is. That’s exactly what we did with Eppo, an experimentation and feature-management platform. Eppo’s feature-management capabilities became Datadog Feature Flags, while experimentation became Datadog Experiments. This post focuses on the experimentation platform and four changes we made to help you get to a decision faster.

The best API monitoring tools are Hyperping for HTTP and API checks with on-call and status pages, Checkly for API monitoring as code, Postman Monitors for teams that already keep collections in Postman, Datadog for connecting failed checks to traces and logs, Grafana Cloud for teams using k6, Better Stack for checks inside a broader incident workflow, and UptimeRobot for inexpensive availability checks.

Ask a platform team why their application logs aren't in their observability backend and you'll often get a one-sentence answer: And, that's where the conversation ends. The logs stay in a silo. Or, they don't get collected at all. The team loses the troubleshooting signal, and nobody revisits the decision because the alternative looks like a compliance violation. Application logs in healthcare, aviation, insurance, and retail are full of personal information that should not be stored in plain text.

Learn why modern IT complexity can slow incident response and how observability, AIOps, operational context, and automation can help teams detect, investigate, and resolve issues faster.