End DevOps burnout. Deploy with confidence.
Your DevOps team should be building capabilities, not firefighting incidents. We modernize CI/CD pipelines, implement GitOps, and give your team their weekends back.
From firefighting to building
Here's what changes when your CI/CD and deployment processes actually work.
| Area | Before | After | Impact |
|---|---|---|---|
| Deployment Frequency | Weekly releases, manually coordinated | Multiple deploys per day, fully automated | 20x faster |
| Build Time | 45+ minute builds, frequent failures | 7-minute builds, 99%+ success rate | 63% reduction |
| Incident Response | Hours to identify, days to resolve | Minutes to detect, hours to resolve | 10x faster MTTR |
| Team Focus | 60% time on maintenance and firefighting | 80% time on feature development | 2x productivity |
| Infrastructure Cost | Over-provisioned, poor visibility | Right-sized, cost-attributed | 30-40% savings |
| Knowledge Silos | One person knows the deployment process | Self-service, documented, team-owned | Zero bus factor |
Three steps to DevOps that works
Assess
1-2 weeks
We audit your current CI/CD pipelines, deployment processes, and operational tooling. You get a prioritized roadmap with quick wins identified.
- Pipeline audit
- Toolchain review
- Process mapping
- Quick win identification
Modernize
4-8 weeks
We implement improvements: faster builds, automated testing, GitOps deployments, and observability. Your team works alongside us throughout.
- CI/CD optimization
- GitOps implementation
- Testing automation
- Observability stack
Scale
Ongoing
We help your team adopt the new processes and tools. Documentation, training, and ongoing support until you're fully self-sufficient.
- Team training
- Documentation
- Process refinement
- Ongoing support
What we deliver
CI/CD Pipeline Design
Build pipelines that are fast, reliable, and maintainable. We've migrated teams from Jenkins to GitHub Actions, GitLab CI, and ArgoCD — cutting build times by 50%+ consistently.
- 63% faster builds
- 99%+ pipeline reliability
- Self-service deployments
GitOps Implementation
Declarative, version-controlled infrastructure and deployments. ArgoCD, Flux, or your tool of choice — configured for your environment with proper RBAC and audit trails.
- Auditable deployments
- Easy rollbacks
- Environment parity
Infrastructure as Code
Terraform, Pulumi, or CloudFormation — we help you codify your infrastructure so it's reproducible, reviewable, and recoverable. No more snowflake environments.
- Reproducible environments
- Disaster recovery
- Compliance automation
Observability & Monitoring
Metrics, logs, and traces that actually help you debug problems. We implement Prometheus, Grafana, Datadog, or your stack — with alerts that matter.
- 10x faster MTTR
- Proactive detection
- Cost visibility
Platform Engineering
Internal developer platforms that let your teams self-service. Standardized environments, golden paths, and guardrails — without blocking velocity.
- Developer self-service
- Reduced ticket load
- Consistent standards
On-Call & Incident Response
We can augment your on-call rotation or help you build one. Runbooks, escalation paths, blameless postmortems — the operational discipline that keeps systems running.
- 24/7 coverage
- Faster resolution
- Learning culture
Software firm saves $190K annually with CI/CD modernization
The Challenge
A software development company was spending 45+ minutes per build with frequent failures. Developers waited hours for feedback. Releases required weekend coordination.
Our Approach
We migrated from Jenkins to GitHub Actions with parallel builds, caching, and incremental testing. Implemented GitOps with ArgoCD for deployments.
Results
63%
Faster builds
3x
Deploy frequency
$190K
Annual savings
99.9%
Pipeline uptime
Frequently asked questions
Technology Partners
Related Reading
DevOps and Cloud Native Integration Best Practices
How to align DevOps culture with cloud-native tooling for faster, more reliable delivery.
Cloud Migration Strategies That Actually Work
Proven migration approaches from lift-and-shift to refactoring for cloud-native platforms.
Monitoring Cloud Native Apps: Tools & Strategies
Essential monitoring strategies and tooling for cloud-native application environments.
Ready to make AI operational?
Whether you're planning GPU infrastructure, stabilizing Kubernetes, or moving AI workloads into production — we'll assess where you are and what it takes to get there.
US-based team · All US citizens · Continental United States only