Operations | Monitoring | ITSM | DevOps | Cloud

Gartner IT Symposium/Xpo is always a standout experience for ScienceLogic, and this year’s event in Orlando was no exception. The event brought together seasoned IT leaders, analysts, and solution providers, creating a dynamic hub for meaningful conversations, hands-on demos, and translating future-driven insights into action. More than being honored to attend, ScienceLogic thrives on engaging with IT leaders on the show floor, in sessions, and throughout the event.

Many organizations struggle to track how their cloud infrastructure changes over time. Modern environments span tens of thousands of resources across hundreds of accounts and multiple clouds. Application teams add new services and regions at a rapid pace, increasing the number and variety of resources that need to be managed. These shifts can cause infrastructure configurations to drift from a well-architected state, increasing the risk of service reliability issues and unexpected cloud spend.

Instead of giving you yet another chatbot, we built AI straight into the parts of Sentry where teams lose time, turning your existing data into instant context — and it’s now available to all Sentry users.

Modern web applications rely on seamless user experiences, fast load times, and reliable performance across every device and region. Browser monitoring tools make these features possible by tracking how real web browsers interact with your site revealing issues long before users notice them. To ensure your monitoring setup captures everything that matters, here are the five essential metrics every browser monitoring solution must track.

Some log sources bundle multiple events into a single record before shipping them. This is common with VPC flow logs, CloudWatch exports, and certain Windows endpoint collectors. While this batching approach is efficient for transport, it creates challenges when you need to filter, search, or correlate individual events. When a log record contains an array of 47 events, your analytics tool sees one entry instead of 47 distinct records.

Tax season is notoriously most people’s least favorite time of year. For people who complete their own tax returns, the process becomes an agonizing one of looking at small pieces of paper, matching numbers to the lines that ask for information, and comparing various inputs. In essence, doing your taxes makes you a correlation engine. Now, imagine taking this tedious process and applying it to the terabytes of data that your environment generates daily.

Every dollar spent on engineering is a bet on the future. But look at your engineering team's sprint backlog and you’ll see a non-trivial amount of that capital is spent on repairing the past. For the last ten years, if you asked a VP of Engineering what the solution was, the answer was always the same: better monitoring. Throw more telemetry at the wall. Build a bigger dashboard. Send more alerts at 3 AM. It was the only available tool, so it became the entire thesis.