Manual Server Changes
Hand-edited servers drift apart, and nobody can reproduce production when something breaks.
Multi-cloud Kubernetes platforms, GitOps pipelines, and proactive SRE telemetry that keep your product available while your release cadence accelerates.
These are the patterns we are usually called in to fix. Each one compounds the longer it is left alone.
Hand-edited servers drift apart, and nobody can reproduce production when something breaks.
Big-bang releases that need weekend windows and a rollback plan nobody has rehearsed.
Idle capacity and unowned resources quietly inflate monthly spend.
Each stage ends with a review point, so you see progress, approve direction and catch problems before they get expensive.
System audits, threat modeling, and stakeholder alignment.
Capacity modeling, schema design, and milestone mapping.
Design tokens, interactive prototypes, WCAG audit.
Test-driven development, trunk builds, strict peer reviews.
Automated regression, pen-testing, load simulation.
Canary traffic rollout, automated failover verification.
24/7 SRE monitoring, automated patch matrix, latency SLA.
We build cloud foundations that are reproducible from a single repository: networks, clusters, secrets and pipelines are declared as code, reviewed like code, and rolled back like code.
Review of your current environments, costs, access and risks
Networks, clusters, data stores and identity declared in Terraform and peer reviewed
Managed cluster setup with autoscaling, policies and secrets handling
GitOps pipelines with automated tests, progressive rollouts and rollback
Metrics, logs and traces with SLO-based alerting
Incident runbooks and tested disaster recovery procedures
What we build under this service, each piece designed and built by senior engineers and reviewed at every stage.
Managed EKS, GKE and AKS clusters with autoscaling, policy enforcement and service mesh built in.
Declarative delivery with progressive rollouts, automated rollback and drift detection.
Terraform modules for networks, data stores and identity, versioned and peer reviewed.
Metrics, traces and logs with SLO-based alerting, on-call runbooks and incident reviews.
What changes when senior engineers own the outcome from the first call to long after launch.
Every environment is rebuilt from code, so staging matches production and recovery is a pipeline run.
Canary rollouts with automated health gates ship small changes daily and revert on their own.
Autoscaling, budgets and cost allocation tags keep spend tied to the workloads that earn it.
An honest look at the alternatives, so you can choose the route that fits your team.
| Criteria | Oblique Tech | In-house team | Freelance DevOps | Managed provider |
|---|---|---|---|---|
| Platform and SRE depth | Dedicated platform engineers | Hard to hire and retain | One person, narrow range | Generalist teams |
| Time to start | Days after scoping | Months to recruit | Days to weeks | Weeks of procurement |
| Seniority | Senior engineers only | Depends on who you hire | Varies by individual | Often mixed with juniors |
| Code ownership | 100% yours | Yours | Usually yours, check the contract | Depends on the contract |
| Continuity | Documented handover and a stable team | Tied to staff retention | Single point of failure | Staff can rotate between projects |
| Cost model | Fixed scope or monthly rate | Salary plus overhead | Hourly, can drift | Premium rates and change orders |
| Visibility | Sprint demos and shared repositories | Internal reporting | Self-managed | Account manager reports |
Choose an engagement model. Exact figures are confirmed in writing after a short scoping call, before any work begins.
Teams validating scope and risk
One-off, short engagementA defined outcome with milestones
Milestone-based billingOngoing roadmaps and long-term products
Monthly engagementEvery model includes full code ownership, an NDA on request and a named senior lead.
Where this service is put to work most often.
Teams outgrowing manual deploys and single-region hosting.
Environments that need audit trails, least-privilege access and encrypted data paths.
Estates carrying idle capacity that needs right-sizing and autoscaling.
Engineering organizations that want a paved road for every squad.
The targets we engineer for and track on every engagement.
Direct answers on ownership, process, scope and support, so you can judge fit before the first call.
We build on AWS, Google Cloud and Azure, and design multi-cloud or multi-region topologies when resilience or data residency requires it.
Yes. We begin with an infrastructure audit, codify what exists, and migrate workloads in stages without interrupting production.
Our SRE tier provides 24/7 monitoring, a defined response SLA for critical incidents, blameless reviews and regular disaster-recovery drills.
Book an architecture session with our infrastructure engineers and receive a prioritized roadmap within 5 business days.