Operations | Monitoring | ITSM | DevOps | Cloud

Starting from scratch with synthetic testing of your web properties and APIs can be difficult. Questions like “what should we be testing?” will very quickly become exercises in figuring out “how can we actually do that?” which may involve sifting through various elements of the DOM or JSON responses. But there are shortcuts to synthetic testing mastery!

By centralizing your mission-critical logs, metrics, traces, and events from all of your systems into one platform, Sumo Logic enables teams across development, security, and operations to operate from a single source of truth. While this unified approach is crucial for fast issue identification and minimizing downtime from infrastructure failures or security breaches, not everyone on your team needs access to every bit of data.

Security logs are the quiet sentinels of your Linux systems, recording critical information that can mean the difference between detecting an intrusion and discovering a breach months too late. For most DevOps professionals and system administrators, these logs contain valuable insights that often go untapped. While they're essential for compliance, their real value lies in providing visibility into your system's security posture and operational health.

Observability isn’t about collecting more telemetry — it’s about making that telemetry data meaningful. Contextual observability transforms raw telemetry into actionable insights by enriching it with consistent tagging and metadata. Without context, telemetry data remains fragmented, troubleshooting slows, and aligning with business priorities is nearly impossible.

Everyone in your organization needs logs to perform the critical functions of their job. Developers need them to debug their applications, security engineers need them to respond to incidents, and support engineers need them to help customers troubleshoot issues. These various use cases create general requirements for enriched log data, often including accessing insights from outside typical retention windows.

Cribl recently introduced Lakehouse, a powerful new feature within Cribl Lake that enables fast queries on the freshest data. But it’s so much more than just speedy searches. Lakehouse redefines how organizations collect, store, manage, and analyze telemetry data at scale, ensuring a future-proofed, cost-efficient, and flexible approach to data management.