Operations | Monitoring | ITSM | DevOps | Cloud

When troubleshooting an issue with logs, it’s often fairly easy to find an important log; for example, an exception is logged and an alert is fired. Once you find an exception in the logs, the trickier part can be understanding why the exception was thrown. One common approach to this problem is looking at the surrounding logs. Logs are typically in chronological order, so if you see an exception, look at the logs’ lines from just before the exception occurred.

At Datadog, we operate 40+ Kafka and ZooKeeper clusters that process trillions of datapoints across multiple infrastructure platforms, data centers, and regions every day. Over the course of operating and scaling these clusters to support increasingly diverse and demanding workloads, we’ve learned a lot about Kafka—and what happens when its default behavior doesn’t align with expectations.

LogicMonitor is proud to announce anomaly visualization as an addition to our growing AIOps capabilities! With this new functionality, users are able to visualize anomalies that occur for a monitored resource and compare that anomaly to key historical signals, such as the past 24hrs, 7 days, or 30 days. Anomaly visualization complements LogicMonitor’s existing forecasting functionality and provides another layer of intelligence to better understand resource health.

Today we're happy to announce that our transaction timeline view has exited BETA and is now generally available for Ruby.

Today we announced an integration between SolarWinds® AppOptics™ and SolarWinds Papertrail™ to allow you to quickly move from service-level metrics, down to a trace, and then down to the logs specific to that trace. The integration between AppOptics and Papertrail provides the ability to group the log messages from a traced transaction and add trace context to your logs in Papertrail.

This year was my third in a row attending (and now speaking at!) Monitorama. Because the organizers do a great job of turning introverts into extroverts for three days straight, it’s always a fun and exhausting time—but one of my favorite parts is how much folks continue talking about and sharing the content, days or weeks after it’s over. So, to continue the drumbeat, here were some of my highlights from this year.