Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

AppSignal vs the tools it replaces (PagerDuty, Cronitor, Rollbar etc.)

There’s no scenario in which you should be required to run six monitoring tools at once. OK, I may have been a bit dramatic there, you might actually be at a scale where you need it. But for the rest of us, it’s certainly overkill. Using UptimeRobot for, “Is the site up?”, Papertrail for logs, PagerDuty so someone actually gets notified… Tons of logins, tons of invoices, tons of separate configs, and the worst thing is, they are all unaware of each other.

How Observability and Real-Time Data Can Improve Warehouse Operations

Warehouse operations generate a constant stream of information. Goods are received, inventory moves between locations, orders enter picking workflows, stock levels change, and shipments leave the facility. When these activities are managed through disconnected systems or delayed manual updates, managers can struggle to understand what is actually happening on the warehouse floor.

The rise of autonomous digital operations

Monitoring has come a long way. Your team has dashboards, alerts, and automation that would've looked like magic a decade ago. Most days, things just work. But underneath all that tooling, a lot of the actual work still happens manually. An alert fires, and you pull the page-load metric from one tool, the user session logs from another, the backend trace from a third, and line them up until the story makes sense. Ten minutes, maybe fifteen pass, then you are able to fix it and move on.

I use Claude every day. I still build dashboards in SquaredUp

If you've looked at SquaredUp and thought "I don't need this, I'll just use Claude", I understand completely. I've thought it too. Here's what changed my mind. I use Claude constantly. I've also spent the last few months building the parts of SquaredUp that let it in: our MCP server, the object graph and correlation, a stack of plugins. So this isn't a dashboard vendor being sniffy about AI. I've watched Claude pull from several sources and produce something genuinely useful in under a minute.

Log Filtering: How to Cut Log Ingest Volume Without Losing Evidence

Every log estate reaches a point where volume grows faster than the value inside it. The usual response is to find the biggest source and drop it. Cutting volume is the easy part. Cutting the right half takes judgment. Log filtering is only one of four options for an expensive source, and the other three matter just as much. In this blog, you will: By the end you can defend every rule you write, including the ones that keep data. A volume cut fails in two directions.

ITSM for Healthcare: IT Service Management in Hospitals and Health Systems

How long does a nurse stand at a workstation waiting for a record to load before the ward gives up and reaches for paper? In most hospitals nobody measures that number, and the ticket that reaches IT describes a symptom instead of a cause. Hospital IT support runs on a different clock from corporate IT. There is no quiet Sunday night and no safe window for maintenance.

Relational Query Superpowers

I'm investigating repeated errors in my e-commerce application, and I need to get enough context in a single Honeycomb query to piece the entire picture together. Each query returns events based on the event's WHERE clauses, but I want to know several things from outside of the event that recorded an error. Things like: Those attributes are all over the trace. That's going to make a single query tough, right? Wrong!

Two cats, two dogs, four vendors, and the model the AI couldn't find (Tech Talk Companion)

Tech Talks went dark for a few months, and on episode 13 I finally got to ask why. Mathias Palmersheim’s answer, delivered completely straight, was that his users were unhappy with the availability and usability of their feeders and their litter box, and he wasn’t allowed back on stream until that got fixed. The users are two dogs and two cats, and they have titles. Maisie, a Shiba Inu who came to him through a rescue, is the recently promoted chief executive pawofficer.

From Monitoring to Prediction: How Fleet Data Is Changing Maritime Operations

Most maritime operators already collect more fleet data than their shore teams can meaningfully use. Positions appear on screens, real-time data arrives from onboard systems, and reports document vessel performance throughout a voyage. Tracking where a ship is has become the easy part. The harder question is what happens when that information starts indicating what the vessel will do next. The change in maritime operations comes down to shifting from reviewing events to anticipating them early enough to alter an operational decision.

Monitor HTTPS and SVCB Records with DNS Check

DNS Check now supports monitoring HTTPS records and SVCB records, DNS record types 65 and 64, both standardized in RFC 9460. They tell a client how to connect to a service rather than only where it is: which HTTP versions the endpoint speaks, which port it listens on, which addresses it can start connecting to, and which keys it needs for Encrypted ClientHello, all before it opens a connection.