Observability You Own

Metrics, logs and traces built around your services, running in your cloud account or on your own hardware, and sized so the monitoring bill does not grow faster than your traffic.

Custom A stack designed around your services and SLOs

On-Prem Self-hosted in your data centre, air-gapped if it has to be

Cost-Optimised Cardinality, sampling and retention tuned to what you use

Vendor Exit Off Datadog or New Relic with dashboard and alert parity

See Everything. Pay for What Matters.

We build observability that answers the question an on-call engineer has at 2am, keeps telemetry where your compliance needs it, and drops the data nobody looks at before it reaches the bill.

Custom Observability

OpenTelemetry instrumentation across services
Metrics, logs and traces correlated in one view
Service dashboards built from your SLOs
Alerts tied to user impact, not CPU graphs
A runbook link on every alert
On-call routing to PagerDuty, Opsgenie or Slack

On-Prem Observability

Prometheus, Grafana, Loki and Tempo on your hardware
High-availability setup with no single collector to lose
Long-term storage on your own object store
Air-gapped installs
VMware, bare metal and on-prem Kubernetes
Access through your existing SSO or LDAP

Cost-Optimised Observability

Cardinality audit of every metric
Unused metrics dropped at the collector
Log sampling and level filtering
Tiered retention: hot, warm, then cold in object storage
Usage attributed per team and per service
A cost forecast before the next renewal

Self-Hosted in Your Cloud

The Grafana stack on EKS or GKE
S3 or Cloud Storage as the storage backend
Telemetry kept in an Indian region
Ingesters that scale with load
Backups, upgrades and capacity planning included

Migration from SaaS

Datadog or New Relic to an open-source stack
Vendor agents replaced with the OpenTelemetry Collector
Dashboard and alert parity checked one by one
Both systems run side by side until the numbers agree
Cutover team by team

Compliance Logging

Log retention sized for CERT-In's 180-day requirement
Logs stored within Indian jurisdiction
Tamper-evident storage with S3 Object Lock
Access to the logging stack itself logged
Incident timelines that can be exported for reporting

Build, Self-Host or Stay on SaaS?

A custom stack is not always the answer. Here is how we decide, and we will tell you if the answer is to stay where you are.

When a Custom Stack Pays Off

The monitoring bill is growing faster than traffic
Telemetry has to stay in India or on your own hardware
High-cardinality metrics are being priced per series
You already run Kubernetes and someone can own one more system
A vendor renewal is coming up and you want an alternative on the table

When SaaS Is Still Right

A small team with nobody to own another system
You need APM and real user monitoring working tomorrow
The bill is small next to the engineering time a rebuild costs
Nothing in your compliance constrains where telemetry lives
In that case we tune what you have instead of replacing it

What a move off Datadog actually involves is written up in what you would have to rebuild.