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How we build and deliver
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DevOps consulting and SRE services
Improve deployments, visibility and cloud operations. We build CI/CD pipelines, manage infrastructure as code and set up monitoring for your applications and AI workloads.
What we're offering
Infrastructure and orchestration
Manage infrastructure as versioned code, with reproducible environments and clear change controls.
- Terraform and OpenTofu help us define and review cloud infrastructure changes before deployment.
- Docker packages applications with their dependencies. Where the workload calls for it, Kubernetes helps manage deployment, scaling and recovery of containerized services.
- Prometheus and Grafana provide metrics, dashboards and alerts based on the service objectives agreed with your team.
Observability and delivery (CI/CD)
Monitor application health and improve how changes move from development to production.
- We build CI/CD workflows with tools such as GitHub Actions or GitLab CI to test and deploy changes. Centralized logging helps engineers investigate errors and review incidents.
Cloud and AI operations
Plan infrastructure around the capacity, reliability and operating costs of your applications and AI workloads.
- We review cloud architecture, resource use and deployment requirements to identify practical improvements.
- Python scripts automate routine operational tasks. For AI applications, we help operate model services, retrieval pipelines and vector storage with appropriate monitoring.
Frequently asked questions
Yes. We agree on responsibilities and work with your team’s communication, issue-tracking and deployment processes.
We define monitoring, escalation paths and incident procedures with your team. Support hours, response targets and any on-call coverage are agreed in the engagement scope.
We assess existing systems and data access first. Where suitable, we build connectors and pipelines that let applications use the relevant data without requiring a full migration.
We review your release process, add automated checks and define rollback procedures. Monitoring and alerts help your team detect issues after deployment. We agree on reliability targets and prioritize changes based on the risks in your infrastructure.
We can track dataset and model versions, document data flows and implement agreed controls for sensitive information. Your security and legal teams define the applicable requirements.
We leverage OpenTofu and Crossplane to apply standardized governance across AWS, GCP, and Azure. By providing a unified view of your cloud spend, we ensure that a stray high-performance cluster on GCP doesn't go unnoticed while you’re focused on your AWS dashboard.
What is holding your infrastructure back?
Tell us about your stack, deployment process and main reliability or cost concern. We’ll discuss the first improvements to assess.