If you’ve used Loki, you’ve likely appreciated its no-fuss setup. But the trade-offs become apparent quickly:
For modern teams dealing with distributed microservices, hundreds of deployments, and real-time SLAs, these limitations turn into blockers.
This is where SigLens comes into play!
Where Loki slows down, SigLens speeds up. Where Loki simplifies at the cost of power, SigLens balances simplicity with scalability. It was designed from the ground up to handle massive, streaming log data with real-time precision.
Here’s what sets it apart:
Unlike Loki, which struggles with flexible search at scale, SigLens supports advanced, schema-less search that feels as intuitive as it is powerful.
Let’s say a mid-sized SaaS company running a containerized stack on EKS had been using Loki for nearly a year. Initially, it did the job. Logs were ingested, dashboards were snappy, and queries were tolerable
But then... growth happened.
More customers. More containers. More logs. Suddenly:
That’s when they realized: Loki wasn’t built for real-time scale.
Enter SigLens.
SigLens is purpose-built for high-ingestion, real-time observability. No tuning. No engineering gymnastics. Just raw speed and efficiency.
And most importantly:
Your SREs go from firefighting… to actually engineering