Operations | Monitoring | ITSM | DevOps | Cloud

Analytics

Auto-smooth noisy metrics to reveal trends

Datadog makes it easy to correlate, compare, and visualize metrics from your infrastructure and applications. Some metrics, however, are inherently so noisy that the graphs become unreadable (the dreaded spaghettification problem), and you lose the ability to extract essential information about trends and large-scale deviations. For cases like these, we provide several smoothing functions that help you identify trends in your metrics.

Splunk vs SumoLogic vs ELK

From production monitoring to security concerns, it’s critical for businesses to analyze and review their log data. This is particularly true for large and enterprise companies, where the sheer amount of data makes log analysis the most efficient way to track key indicators. CTOs, in particular, are dealing with the challenges of this massive amount of data flowing through their organization, including how to harness it, gather insights from it, and secure it.

How Our Customers Influence the Sumo Logic Product

Sumo Logic is no different than most companies — we are in the service of our customers and we seek to build a product that they love. As we continue to refine the Sumo Logic platform, we’re also refining our feedback loops. One of those feedback loops is internal dogfooding and learning how our own internal teams such as engineering, sales engineering and customer success, experience the newest feature. However, we know that that approach can be biased.

Why Observability Matters - Christine Spang

The macro landscape in software has changed in the last decade—metrics, monitoring, unstructured logs, and alerting aren't enough to tell what our software is doing anymore. This opening keynote will focus on how we've achieved observability on the Nylas platform, using many concrete examples—and will show what observability means to us and where we're still lacking.