Total visibility of your cloud platform
Real-time 360° monitoring with metrics, logs and distributed traces. We detect problems before your users do.
Observability is not "having a dashboard". It's knowing, in real time, what's happening at every layer of your platform — and being able to answer why. We implement Dynatrace, Grafana, New Relic or AWS-native stack per your context, with executive dashboards, predictive alerts and chaos engineering practices.
What you get with Caleidos
AI anomaly detection
Algorithms that learn normal behavior and alert on deviations — before users report the problem.
Distributed tracing
Each request traced end-to-end across microservices, APIs and backends. Accelerated debugging.
Executive dashboards
Technical metrics translated to business KPIs that CTO and CEO understand and use to decide.
Chaos engineering
Controlled fault injection to validate resilience. Implemented in production with fintech and consumer-goods clients.
Niubiz
End-to-End digital ecosystem
Observability strategy on Niubiz core apps with New Relic. Full visibility of cloud applications, solid base for reliable SLAs.
Read full case →Tech stack
What we get asked the most
Which observability stack do you recommend?
Depends on the case. Dynatrace for complex enterprise environments with critical APM. Grafana stack (Loki + Tempo + Mimir) for OSS-preferring enterprises. New Relic for mid-market with fast time-to-value. AWS CloudWatch + X-Ray for simple AWS-native cases.
How long to implement complete observability?
Base stack + 5 core dashboards + critical alerts: 4-6 weeks. Complete coverage with SLOs, error budgets and on-call playbooks: 3-4 months.
How do you handle observability costs?
It's a typical gap: log/metrics bills explode. We use Edge Delta to process at edge and reduce volume 40-60%, smart sampling, and retention policies per signal type.
Ready to get started?
Tell us about your challenge. No pitch, no commitment. Just understanding.
Observability diagnostic