Operations | Monitoring | ITSM | DevOps | Cloud

While innumerable companies suffered due to the outage, it was business as usual for Nexthink Customers. On January 25th, 2023, millions of unsuspecting employees across the globe were met with an unexpected roadblock during a regular work day. Microsoft Teams, used by over 280 million users worldwide for video meetings, messaging, and collaboration, was officially declared down.

VIPs almost never open tickets, but you’ll know when they’ve got a problem with Microsoft Teams. Even when the rest of your team logs tickets for troubleshooting Teams issues there’s a good chance they won’t give you enough information about the problem – particularly if its hardware related. These are traditional challenges for IT departments trying to maintain Teams services. Luckily, we have the solution.

We completely reworked our custom-made, time series database (dbengine), resulting in stunning improvements to performance, scalability, and stability, while at the same time significantly reducing the agent memory requirements. On production-grade hardware (e.g. 48 threads, 32GB ram) Netdata Agent Parents can easily collect 2 million points/second while servicing data queries for 10 million points / second, and running ML training and Health querying 1 million points / second each!

Honeycomb recently announced the launch of Service Map, a new feature that gives users the ability to quickly unravel and make sense of the interconnectivity between services in highly complex and intricate environments.

As we have previously announced: Notifications-only sub-users are here! After receiving your feedback, we realized that full-featured sub-users may not be the ideal option for everyone. This new feature is ideal for our UptimeRobot users who want to get alerted teammates or clients but don’t want to share access to account or monitors. You can manage your team mates and their access on the Team page. Here you can add / edit / remove seats with write, read, or notify-only access.

IT tools are similar to romantic relationships. Over time, you tend to fall into the same old dull routines, like Rupert Holme’s song Escape (The Piña Colada Song). That routine — collect dataset, route, ingest ($$) and then search, collect dataset, route, ingest, then search, … this approach is not only breaking your heart but your budget too.