Operations | Monitoring | ITSM | DevOps | Cloud

Every growing business hits a moment of truth somewhere between "we just launched" and "we just lost a customer because our site was down for 40 minutes." It's then that you realize the free monitoring tool you set up six months ago—the one that felt more than adequate at the time—is no longer pulling its weight.

Would a single click on Approve in your service desk satisfy an auditor reviewing a high-risk change, a purchase order, or a vendor contract? Often the answer only becomes clear when someone requests a signed copy and the ticket has nothing to show. Much of this traces back to terminology. Many organizations treat electronic signatures, digital signatures, and approvals as interchangeable, and ITSM tools tend to call every sign-off an approval.

How many minutes of battery runtime are left in the unit protecting your primary rack right now? Most monitoring deployments can answer a question like that for every switch, server and virtual machine in the building. Ask about power and the dashboard goes quiet. Backup power tends to fall between two owners. Facilities buys the hardware and books the service visits, while IT owns everything plugged into it.

AI log analysis helps IT teams turn massive volumes of operational data into actionable insight. By applying statistical methods, machine learning (ML), semantic analysis, and generative AI, organizations can identify unusual behavior, connect related signals, and investigate probable root causes faster. But AI-generated answers should not be mistaken for proof.

Comparisons of SAP observability tools often evaluate which platforms can see inside SAP.Today, that’s nearly all of them. Dynatrace, Datadog, New Relic and Splunk can all get SAP telemetry. None of them are likely the best choice for an SAP-centric application, and we will document why. The questions teams evaluating SAP observability solutions should consider: That last one is where most of these platforms stop, and it is the difference between observability and operations.

Every monitoring alert, scheduled report, and email to ticket conversion in your stack depends on a mailbox. Most monitoring and helpdesk management tools still reach that mailbox the old way. They log in with a username and password over SMTP or EWS. Exchange Online is closing both doors on a published schedule. The tools that fail will fail silently. In this blog, you will: By the end, you can run the change on a weekday afternoon and know nothing went quiet.

How many Macs in your environment are running an OS build that your patch compliance report has never counted? In most mixed Windows and Mac deployments, the Windows side is managed by policy and the Mac side is managed by hope. Designers, executives, and engineering leads install updates when a notification interrupts them, and otherwise dismiss the prompt for months.

September 22, 2026 is not an operating system shutdown date. It is a cryptographic compliance transition that changes what federal organizations can use for new systems and what they must defend in existing ones.

Improvements to the Progress Flowmon product family continue, and we are pleased to announce the release of Flowmon 13.1. The latest 13.1 release builds on the strong foundations we laid in Flowmon 13. Headline enhancements include a rebuilt visualization layer, automated investigation workflows and a set of AI-assisted capabilities in the Flowmon Anomaly Detection System (ADS). And the Flowmon team is eager to share how your team can utilize these new capabilities.