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Engineers who ship better software.

From fintech unicorns to infrastructure startups, teams trust LogKit to make sense of their data.

Featured Case Study

How NexusPay eliminated on-call fatigue

NexusPay team collaboration

NexusPay, a Series C fintech processing $2B in annual transactions, was drowning in noisy logs. Their existing ELK stack was slow to query, and their developers were spending 20% of their week chasing down production incidents.

"We had error rates that looked like noise," says Sarah Jenkins, Lead Site Reliability Engineer at NexusPay. "We couldn't tell if a 500 error was a transient network blip or a critical database lock."

Adopting LogKit required just two engineering days. The team migrated their Go microservices to the SDK, which enforced a strict schema. Suddenly, they could query "all errors with code 503 within the last hour for the payment-gateway service."

Within 48 hours, the team identified a race condition in their payment reconciliation logic that had been silently corrupting transaction records for six months. By fixing it, they reduced their error rate by 92% and cut their average incident resolution time from 45 minutes to under 5 minutes.

Today, NexusPay ingests 800 million events daily with zero performance impact on their transactional throughput. Their developers have reclaimed their time for feature development.

Key Outcomes

  • 92% reduction in error rate for the payment gateway
  • 10x faster query time (sub-second for 95% of queries)
  • 0 SDK overhead on their hot-path transaction code
Testimonials

What engineers are saying

"LogKit is the only logging library that doesn't feel like a library. It just works."

David Chen

CTO, VortexDB

"We switched from Datadog Logs to LogKit and saved 40% on our bill while getting better query latency."

Elena Rodriguez

Staff Engineer, Synapse

"The structured schema enforcement caught a bug in our init code before we even deployed to production."

Marcus Thorne

Backend Lead, Apex

"Finally, a logging platform that understands Go's context. It just feels right."

Priya Patel

Senior Developer, FlowState

"The query language is a breath of fresh air. I can find the needle in the haystack in seconds."

James O'Connor

DevOps Engineer, Titan

"Support is incredibly responsive. They actually read the feature requests on GitHub."

Lisa Wong

Engineering Manager, Nova

By the numbers

Production scale you can rely on.

4B+ Logs processed daily
1,200 Active engineering teams
99.99% Platform uptime SLA
<2ms Global query latency
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