DevOps & SRE consulting to deploy without fear. And stay stable at peak traffic.
CI/CD pipelines with rollback, infrastructure as code with Terraform, Kubernetes when it fits, and observability with SLOs on AWS, GCP or Azure. You ship more often, with fewer incidents and without relying on one person.
When infrastructure starts holding the product back
The problems that most often bring SaaS companies, online stores and tech teams to us.
Manual, risky deploys
Releases take hours, rely on a manual checklist and sometimes break production. So the team avoids shipping.
The system goes down at peaks
A campaign, Black Friday or month-end close hits and the app slows down or goes offline.
Nobody knows what's in the cloud
Servers built by hand, no documentation, no tested backups and no idea what happens if something stops.
Too many alerts, or none
The team ignores notifications because most are noise, or learns about incidents from customers.
The cloud bill keeps growing
Oversized machines, forgotten environments left running and no view of cost per service.
Everything depends on one person
Only one engineer knows how to deploy or touch the infra. When they're on vacation, operations stall.
From your first pipeline to SRE operations
We start with what reduces the most risk in your environment and improve in stages, without stopping the product.
CI/CD pipelines
Automated build, tests, code analysis and deploys on GitHub Actions, GitLab CI or similar, with per-environment approvals and one-click rollback.
Infrastructure as code
Networking, accounts, databases, clusters and permissions in Terraform, with reusable modules, pull request reviews and matching dev, staging and production.
Kubernetes and containers
Containerized apps on EKS, GKE, AKS or ECS, with autoscaling, Helm and GitOps. Kubernetes comes in only when your workload and team justify it.
Observability
Metrics, logs and traces with Prometheus, Grafana, OpenTelemetry, Datadog or similar, in per-service dashboards and alerts that point to the cause.
SRE: SLOs and incidents
Availability and latency targets agreed with the business, error budgets, escalation, runbooks and blameless post-mortems.
Migration and modernization
Moving off VPS, on-premise or another cloud to AWS, GCP or Azure, service by service with a rollback plan. The MVP often takes 4 to 6 weeks, depending on scope.
From assessment to stable operations
Small, reviewed, reversible changes. Production stays up while the foundation improves.
Environment assessment
We talk to your team and review your cloud, pipelines, costs and current single points of failure.
Architecture and plan
Target architecture, delivery sequence and rollback plan, sent within 48h of the first call.
IaC and CI/CD foundation
Terraform, networking, accounts, secrets and a base pipeline, all versioned in your repository and reviewed via PR.
Gradual migration
Service by service, with tests, change windows agreed with your team and rollback ready, with no planned downtime.
Observability and SLOs
Dashboards, alerts with runbooks and availability and latency targets for critical services.
Support and improvement
Training and handover to your team, or monthly support with updates, cost tuning and improvements.
From scattered metrics to decisions in minutes
Monitoring isn't about a pretty dashboard. It's knowing whether customers are being served well, getting the right alert with the steps to follow and fixing things before they become incidents. We build it on the tools that make sense for you.
- Availability and latency SLOs defined with the business, not just the infra team
- Symptom-based alerts, each with a runbook and a clear owner
- Delivery metrics: deploy frequency, change failure rate and time to recover
- End-to-end traces to find the slow service without guessing
- Cost per service and per environment, right next to performance
Describe your infrastructure in 1 minute
Pick the options, leave your contact and the brief goes by email straight to a specialist. More context means a sharper first conversation.