Monitoring
Choosing an observability platform is a multi-year commitment that will touch every engineer on your team. Get it right and debugging becomes systematic. Get it wrong and you're paying for a platform your engineers route around with grep and manual log tailing. Splunk, Datadog, and Elastic are
Monitoring
Modern applications span dozens of services, multiple clouds, and thousands of infrastructure components. When something breaks — and it will — engineers need answers in seconds, not hours. Splunk Observability Cloud is a unified platform that brings together metrics, distributed traces, and logs into a single pane of glass, purpose-built for
Monitoring
Your application logs everything. Every HTTP request, every database call, every exception, every slow query. This data stream is one of the most valuable sources of truth you have — but raw log files are unreadable at scale. Splunk was built to solve exactly this problem, and for QA and engineering
Logging
Most teams treat logs as a post-hoc debugging tool: something breaks, you search logs to find out why. That is a valid use, but it captures only a fraction of what log data can do. Datadog Log Management enables a fundamentally different workflow: log-based assertions in automated tests,
Testing
Fluentd and Fluent Bit are the workhorses of log aggregation. Fluentd's rich plugin ecosystem handles complex parsing and routing; Fluent Bit's lightweight C core handles high-throughput edge collection. Both have one thing in common: when their configs break, logs disappear silently. This guide shows how