Cloud and DevOps engineering that turns manual, fragile deployments into automated, observable systems. Ship 20x more often with less risk.
99.9%
SLA Delivered
Across all managed infra
10×
Faster Deployments
vs. manual baseline
40%
Avg Cloud Cost Reduction
Through right-sizing + IaC
< 5m
Mean Time to Recovery
With full observability
These four issues account for 90% of the incidents we get called in to fix.
Teams deploying manually are 5x more likely to have failed changes. Every "quick push to production" eventually becomes an all-hands incident at the worst possible time.
Our fix
Automated CI/CD with staged rollouts, feature flags, and auto-rollback on health check failure
Unattached EBS volumes, overprovisioned instances, forgotten NAT gateways, dev environments left running weekends. The average company wastes 32% of cloud spend.
Our fix
Right-sizing analysis, auto-shutdown schedules, Reserved Instance planning, and monthly cost anomaly alerts
Public S3 buckets, overprivileged IAM roles, security groups open to 0.0.0.0/0 — cloud misconfigurations cause 80% of data breaches. Most teams have zero continuous visibility.
Our fix
Continuous security scanning, least-privilege IAM, network segmentation, and compliance dashboards
No alerting. No dashboards. No runbooks. When production goes down you firefight blind with tail -f and hope. MTTR stretches to hours because nobody knows the system.
Our fix
Full observability stack: Prometheus metrics, ELK logging, distributed tracing, and PagerDuty alerting
Our Services
From first cloud account to fully automated infrastructure — talk to us if you're not sure where to start.
A repeatable 5-step process that takes teams from ad-hoc deployments to production-grade infrastructure in 6 weeks.
Infrastructure Audit
Map current infra, identify bottlenecks, security risks, and cost waste. Deliverable: prioritized action plan with ROI estimates.
IaC Migration
Everything in code. Terraform for infra, Helm for Kubernetes, Ansible for config. No more snowflake servers or tribal knowledge.
Pipeline Setup
Automated build, test, and deploy pipelines. Staging environments that mirror production. Deploy with confidence, not dread.
Observability
Prometheus + Grafana dashboards, structured logging, distributed tracing, and PagerDuty alerting. See problems before users do.
Harden & Hand Off
Security posture review, load testing, runbook documentation, team training, and 30-day direct engineer access post-launch.
Map current infra, identify bottlenecks, security risks, and cost waste. Deliverable: prioritized action plan with ROI estimates.
Everything in code. Terraform for infra, Helm for Kubernetes, Ansible for config. No more snowflake servers or tribal knowledge.
Automated build, test, and deploy pipelines. Staging environments that mirror production. Deploy with confidence, not dread.
Prometheus + Grafana dashboards, structured logging, distributed tracing, and PagerDuty alerting. See problems before users do.
Security posture review, load testing, runbook documentation, team training, and 30-day direct engineer access post-launch.
Technology
AWS to GCP, Docker to Kubernetes — we pick the right stack for your infrastructure needs and team workflow.
AWS
Google Cloud
Azure
Docker
Kubernetes
Helm
Terraform
Ansible
Pulumi
GitHub Actions
ArgoCD
Jenkins
CircleCI
Prometheus
Grafana
Datadog
Vault
Nginx
18 technologies across our cloud and DevOps stack
The Difference
These aren't projections — they're measured outcomes from engagements we've completed.
1×/week
Deploy frequency
20+/day
35%
Failure rate
0.3%
4.2 hours
Mean time to recover
< 4 min
34%
Cloud cost waste
< 5%
Industries
Domain knowledge built across real production projects — fewer unknowns, faster results.
If yours is not here, reach out. We respond within 24 hours with a real answer from an engineer — not a sales pitch.

Depends on your team, workload type, and existing tooling. AWS has the broadest service catalog — default for most greenfield projects. GCP is strongest for data and ML workloads and has the best managed Kubernetes. Azure is the right call when you're deep in Microsoft 365 or enterprise licensing. We run production workloads on all three and give you a concrete recommendation, not a 'it depends' answer.
Simple lift-and-shift of a web app with managed database — 2 to 4 weeks. Re-platforming to containers and managed services — 4 to 10 weeks. Full re-architecture with microservices — 3 to 6 months. We scope it precisely during the audit phase and give you a week-by-week delivery plan before any work starts.
IaC means your servers, networks, and cloud resources are defined in Terraform, Pulumi, or CloudFormation — and provisioned automatically. No more clicking through the AWS console and forgetting what you changed. Every infrastructure change is reviewed, version-controlled, and repeatable. When something breaks, you restore from code in minutes instead of rebuilding from memory.
Absolutely — this is where we spend most of our time. We start with an audit of your existing setup: security posture, cost waste, missing observability, manual processes that should be automated. Most teams have infrastructure that works but has significant gaps. We produce a prioritized remediation plan and execute it without disrupting your current operations.
We set up Prometheus + Grafana dashboards, structured logging, and PagerDuty alerting configured to your escalation policy. The system monitors itself and pages your on-call before users notice issues. Every engagement includes 30 days of direct engineer access post-launch, and we offer ongoing managed DevOps retainer contracts for teams that want continued support.
A standard infrastructure audit with a prioritized remediation roadmap starts at a fixed fee in the low five figures. Full IaC migration, CI/CD setup, and observability rollout typically runs over a 6-week engagement scoped to your stack size. We always quote a fixed price after the audit phase — no open-ended hourly billing, no surprise invoices. Most teams recover the cost within the first quarter through the 40% average cloud spend reduction alone.
Yes — right-sizing, Reserved Instances and Savings Plans, auto-shutdown schedules for non-prod, and storage lifecycle policies typically cut 30-40% of spend with zero performance impact. We model the savings before making any change and validate latency and throughput after each one. The average company wastes 32% of cloud spend, and we find most of that waste in the first audit.
“They built our SaaS from scratch — auth, billing, dashboards, the works. Running 14 months with 99.97% uptime. When we needed features, the code was so clean changes were fast.”
James Morton
CEO · Docket Analytics · Vancouver, Canada
We start with a free infrastructure audit — a concrete list of what's costing you money, creating risk, or slowing your team down.
