DevOps & Infrastructure Consultant

DevOps consultants specialize in building reliable, scalable infrastructure and automating deployment pipelines for modern software teams. Whether you're moving from manual deployments to automated CI...

$12,000-$22,000/month retainer for ongoing infrastructure management
3-4 months for comprehensive DevOps transformation including IaC, CI/CD, and monitoring
DevOps consultants deliver ROI through: (1) Developer productivity (10-20 hours/week saved = $100K-$500K/year), (2) Reduced downtime (99.9% to 99.99% uptime = $200K-$2M saved), (3) Cloud cost optimization (40-60% reduction = $200K-$1M+/year savings), (4) Faster time to market (deploy 10x faster = competitive advantage), (5) Reduced engineering overhead (automation = 1-2 FTEs saved = $150K-$300K/year).

Overview

DevOps consultants specialize in building reliable, scalable infrastructure and automating deployment pipelines for modern software teams. Whether you're moving from manual deployments to automated CI/CD, migrating to Kubernetes, implementing infrastructure as code, or scaling systems to handle 10x growth, our consultants bring expertise in cloud platforms, container orchestration, monitoring, and DevOps best practices. We've helped companies reduce deployment time from hours to minutes, achieve 99.99% uptime, cut cloud costs by 40-60%, and scale from supporting thousands to millions of users. Our DevOps consultants understand the full stack: AWS/Azure/GCP infrastructure, Kubernetes and Docker, CI/CD tools, observability and monitoring, and security best practices. We work with startups building their first production infrastructure, scale-ups experiencing growing pains, and established companies modernizing legacy systems.

Services Offered

CI/CD pipeline design and implementation (GitHub Actions, GitLab CI, CircleCI, Jenkins)
Kubernetes cluster setup, management, and optimization (EKS, GKE, AKS)
Infrastructure as Code implementation (Terraform, Pulumi, CloudFormation)
Container orchestration and Docker optimization
Cloud infrastructure architecture and optimization (AWS, Azure, GCP)
Monitoring and observability implementation (Datadog, Prometheus, Grafana, New Relic)
Deployment strategies: blue-green, canary, rolling deployments
Auto-scaling configuration for handling traffic spikes
Disaster recovery and backup strategies
DevOps culture transformation and best practices training

Common Challenges We Solve

Manual deployments taking hours with frequent rollbacks and downtime
No automated testing in deployment pipeline - bugs reaching production weekly
Kubernetes cluster poorly configured - pods crashing, resource limits wrong
Cloud costs spiraling out of control - $50K+/month with no visibility into spending
Can't scale infrastructure fast enough during growth periods
Deployments only 1-2 senior engineers understand - bus factor of 1
No monitoring - finding out about outages from customer complaints
Infrastructure provisioning taking weeks when should take hours

Technologies & Tools

Kubernetes (EKS, GKE, AKS)Docker & container registriesTerraform & Pulumi (IaC)GitHub Actions, GitLab CI, CircleCIAWS (EC2, RDS, S3, Lambda, ECS)Azure & Google Cloud PlatformDatadog, Prometheus, GrafanaNew Relic, SentryHelm (Kubernetes package manager)ArgoCD, Flux (GitOps)Ansible, Chef (configuration management)HashiCorp Vault

Best Practices

Implement comprehensive CI/CD with automated testing, security scanning, and deployments
Use infrastructure as code for all resources - no manual changes in production
Implement proper monitoring with SLIs, SLOs, and automated alerting
Use container orchestration (Kubernetes) for scalability and resilience
Implement blue-green or canary deployments for zero-downtime releases
Use managed services where possible - avoid running own databases, message queues
Implement cost monitoring and tagging to track cloud spending by service
Design for failure - implement circuit breakers, retries, graceful degradation

Typical Use Cases

Building automated CI/CD pipeline reducing deployment time from 4 hours to 10 minutes

Migrating from EC2 instances to Kubernetes for better scalability and reliability

Implementing infrastructure as code to enable developer self-service

Setting up comprehensive monitoring and alerting to detect issues before customers

Optimizing cloud costs by rightsizing instances and implementing auto-scaling

Implementing disaster recovery and backup strategies for compliance

Building multi-region active-active architecture for 99.99% uptime

Pricing Guidance

Hourly Rate
$200-$400/hour
Monthly Retainer
$12,000-$22,000/month retainer for ongoing infrastructure management
Typical Project
$40,000-$120,000 for Kubernetes migration or complete CI/CD overhaul

Pricing higher for complex Kubernetes implementations, multi-cloud architectures, or high-compliance industries (healthcare, finance). Lower for basic CI/CD setup or infrastructure optimization. Ongoing retainers common for infrastructure management.

When to Hire DevOps & Infrastructure Consultant

Hire a DevOps consultant when: (1) Manual deployments causing frequent outages or taking too long, (2) Scaling infrastructure can't keep up with growth, (3) Cloud costs growing faster than revenue with no visibility, (4) Engineering team spending more time on infrastructure than features, (5) Need to implement Kubernetes but lack expertise, (6) Preparing for high-traffic event (product launch, Black Friday) and need reliability.

Warning Signs:

  • Deployments taking 2+ hours with manual steps and frequent rollbacks
  • Production outages happening weekly due to infrastructure issues
  • Cloud costs exceeding $30K/month with no monitoring or optimization
  • Only 1-2 people understand production infrastructure (high bus factor)
  • No automated testing in deployment pipeline - manual QA only

Case Study

Client Profile

SaaS (Marketing Platform)

Challenge

Marketing SaaS company ($5M ARR, 80K users) experiencing rapid growth but infrastructure couldn't scale. Deployments took 3-4 hours manually and happened only once/week due to fear of breaking production. Production outages occurred 2-3 times per month. Cloud costs hit $68K/month and growing 15% monthly. Engineering team spending 40% of time on infrastructure firefighting instead of features. No monitoring - learned about outages from angry customers.

Solution

DevOps consultant implemented comprehensive infrastructure transformation: migrated from EC2 to Kubernetes (EKS) with proper auto-scaling, built automated CI/CD pipeline with GitHub Actions (testing, security scanning, automated deploys), implemented infrastructure as code with Terraform for all AWS resources, set up comprehensive monitoring with Datadog (metrics, logs, APM), implemented blue-green deployments for zero-downtime releases, optimized cloud costs with reserved instances and auto-scaling, created runbooks and on-call rotation.

Results

Deployment time reduced from 3-4 hours to 12 minutes. Deployment frequency increased from weekly to 15+ deploys/day. Production outages dropped from 2-3/month to 0.2/month (1 in 5 months). Cloud costs reduced from $68K to $38K/month (44% reduction) despite 2x user growth. Mean time to recovery improved from 2+ hours to 18 minutes. Engineering team recovered 30+ hours/week previously spent on infrastructure. Successfully handled 3.5x traffic spike during viral growth period with zero downtime.

"Our infrastructure was holding back the entire company. Deployments took half a day and broke constantly. Now we deploy 15 times a day flawlessly, cut our AWS bill in half, and the team focuses on features instead of firefighting."
Completed in 4 months

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