Operations | Monitoring | ITSM | DevOps | Cloud

An IBM warranty check sounds like a ten second task: type in the serial number, read the expiration date. In practice, a lot of people hit a sign in screen or a result telling them the machine cannot be found. The reason is rarely the serial number itself. Most hardware that people still call IBM is serviced by Lenovo today, so half of these lookups happen on the wrong website.

Microsoft Azure Monitor is the native monitoring platform for Azure environments. For teams already running workloads in Azure, it offers an obvious starting point: it's built in, deeply integrated, and parts of it are genuinely free.

The case for Cloud ERP has been settled for a while. The case for this year has not.

Eight LLM and AI agent observability platforms compared: what each tracks, pricing and free tiers, self-hosting options, and who each is built for. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

What happens when a citizen-facing portal fails on the last day of a filing deadline, and the only record of the outage lives in an email thread between two engineers? In a commercial organization, that is an operational embarrassment. In a government department, it is a hole in a statutory record that an auditor will eventually ask about.

Version 4.0 renumbered PCI DSS Requirement 10 from end to end, and the Council retired v3.2.1 on 31 March 2024. Sub-requirement numbers written before then mostly point somewhere else now. Four more Requirement 10 rules changed status on 31 March 2025, automated log review among them. Checking your numbering against v4.0.1 costs an afternoon and saves a finding. In this blog, you will: PCI DSS Requirement 10 covers audit logging and monitoring across the cardholder data environment.

As agentic AI workflows gain traction within organizations, those organizations are asking how to account for their behavior while keeping costs manageable. Some are sticking with the old three pillars of observability approach: take a measurement to create a metric, record output to a log, and track serial progress with a trace. Each of these is useful, but treating them as distinct formats from the start means paying for them distinctly too. Separate storage doesn't come cheap.