Cloud Operations & SRE
We take on the platform once it is live: we lift the weight off manual operations, instrument what nobody is watching, and turn changes and deployments into safe moves.
An operable platform takes more than working infrastructure. The gap shows up during the first outage at 3am, when the team finds out what was never instrumented and what has no way back.
Operations here is engineering, not an on-call rotation. We set reliability objectives, instrument the systems, automate the routine work and structure incident response, so the platform can be run predictably.
Outcome
Fewer manual operations, safer changes and a platform ready to run at scale.
What we do
Observability
We instrument metrics, logs and traces with OpenTelemetry, which keeps instrumentation independent of whatever collects and stores it. Metrics land in Prometheus and get read in Grafana, logs and traces sit in Grafana Loki and Grafana Tempo or in Amazon OpenSearch Service, and alerts leave through Alertmanager. Container Insights and CloudWatch Application Signals come in where native AWS integration saves collection work.
Reliability
We set SLIs and SLOs with whoever owns the product and track them in CloudWatch Service Level Objectives, with an error budget deciding what is allowed to ship.
Incident management
We put severity classification, named roles, a communication channel and blameless post-incident review in place, with every finding entering the backlog under a named owner.
Safe change in production
We run Amazon EKS in production with canary and blue/green deployments, environment promotion pipelines, policy as code and drift detection.
How we work
We survey the current operation
What is monitored, what raises an alarm, how much noise those alarms produce, and which changes still need someone logged into a console.
We instrument before we automate
Metrics, logs and traces on the critical paths, so anything automated later has something to stand on. The stack runs managed on Amazon Managed Service for Prometheus and Amazon Managed Grafana or self-hosted in the cluster, and that call is settled by cost and by the effort of keeping it running, independently of technical preference.
We agree the reliability objectives
SLIs and SLOs written together with the product team, with an explicit error budget. An alarm that maps to no objective is noise.
We rehearse incident response
Runbooks written, roles assigned and the flow exercised before it is needed for real.
We leave the team ready to operate
The team runs the incident, reviews what happened afterwards and tunes alarms and SLOs without depending on RSA Tech every time.
AWS services and tools involved
- OpenTelemetry
- Prometheus
- Grafana
- Amazon Managed Service for Prometheus
- Amazon Managed Grafana
- Grafana Loki
- Grafana Tempo
- Amazon OpenSearch Service
- Alertmanager
- Container Insights
- CloudWatch Application Signals
- CloudWatch Service Level Objectives
- Amazon EKS
- AWS Systems Manager
- Terraform
Where we usually come in
Operations depends on people
Environments where incidents, deployments and operational tasks still depend on manual intervention or on specific individuals.
The platform grew and operations did not keep up
Engineering teams that need to structure observability, reliability and incident response without adding another layer of complexity.
Production needs more predictability
Critical systems that need to reduce the impact of incidents, recover faster and make changes safer.