Codivers
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Discipline

DevOps

Platform engineers who build CI/CD, observability and IaC foundations so your teams ship safely and frequently.

Kubernetes
Terraform
GitHub Actions
ArgoCD
Prometheus
Grafana
Helm
Istio
Request DevOps Browse all disciplines
Tailored consultant

Who you get on day one

Platform engineers and SREs who design golden paths and run AI-assisted incident response.

Latest skills
Kubernetes
Terraform
ArgoCD
Prometheus
Go
Python
AWS/GCP
Certifications
  • CKA
  • CKAD
  • AWS DevOps Pro
  • HashiCorp Terraform Associate
AI fluency
  • Uses LLM SRE copilots during incidents
  • Automates IaC drafting and security review with AI

Strategies & playbooks for DevOps

Concrete plays our consultants run to resolve the complex problems we see most often in this discipline.

01
Golden-path platform
Problem

Every team builds its own pipeline, monitoring and infra. inconsistent and unsafe.

The play

Build a paved-road internal developer platform (Backstage) with golden templates for common service types.

Outcome

New service to prod in a day; ops burden centralized and reduced.

02
Progressive delivery
Problem

Big-bang releases cause incidents and rollbacks.

The play

Adopt Argo Rollouts / Flagger for canary + blue-green; automate rollback on SLO breach.

Outcome

Change failure rate <5%, MTTR under 30 minutes.

03
IaC consolidation
Problem

Click-ops infra drifts, breaks DR, fails audits.

The play

Move all infra to Terraform/Pulumi modules with policy-as-code (OPA/Conftest) in CI.

Outcome

Auditable, reproducible infra; drift eliminated.

AI-assisted approach

How AI accelerates DevOps

AI accelerates the toil. incident triage, IaC drafting, log analysis. so engineers focus on platform design.

Incident copilot

LLM assistant pulls logs, traces and metrics, proposes hypotheses during on-call.

Datadog Bits
Custom GPT-5 SRE agent
IaC generation & review

Generate Terraform modules from intent; AI reviewers flag insecure defaults.

Cursor
Snyk IaC
Checkov
Anomaly detection

ML on metrics catches regressions before alerting thresholds fire.

Datadog Watchdog
Dynatrace Davis AI

Recommended tools we propose as consultants

Curated stack our consultants bring on day one. chosen for fit with your scale, team and existing investment.

Orchestration & IaC
  • Kubernetes
    De-facto standard for portable workloads.
  • Terraform
    Multi-cloud IaC with mature module ecosystem.
  • ArgoCD
    GitOps deployment with strong audit trail.
Observability
  • Prometheus + Grafana
    OSS metrics standard with Loki for logs.
  • OpenTelemetry
    Vendor-neutral tracing and metrics SDK.
  • Datadog
    All-in-one when commercial budget exists.
Platform engineering
  • Backstage
    Developer portal with golden-path templates.
  • Crossplane
    Provision cloud infra via Kubernetes APIs.
Primer

What this discipline really is

DevOps is the discipline of making software delivery boring. predictable, fast and safe. It combines automation (CI/CD, infrastructure-as-code) with culture (shared ownership, blameless post-mortems) and metrics (DORA) to let teams deploy on demand without fear.

Elite DORA performers deploy 200× more often with 7× lower change failure rate.
Manual deploys are the #1 source of severity-1 incidents.
Infrastructure drift causes ‘works on staging’ outages that consume entire sprints.
Self-service developer platforms multiply every engineer’s output.

Key areas inside DevOps

1
CI/CD pipelines

Build, test, scan, package and deploy on every commit, with progressive delivery and easy rollback.

GitHub Actions
ArgoCD
Progressive delivery
Rollback automation
2
Infrastructure as Code

Versioned, reviewed and tested infrastructure. never click-ops in production.

Terraform
Pulumi
Crossplane
Policy as code
3
Observability

Logs, metrics, traces and SLOs so you can debug in minutes, not hours.

OpenTelemetry
Prometheus / Grafana
Loki / Tempo
SLO burn alerts
4
Platform engineering

Internal developer platforms with golden paths that make the right thing the easy thing.

Backstage
Golden paths
Self-service
Paved roads
5
Incident response & SRE

Runbooks, on-call rotations, blameless post-mortems and error budgets.

Runbooks
Blameless PMs
Error budgets
Game days

Maturity model. where are you today?

Level 1. Ad-hoc

Manual deploys, snowflake servers, no monitoring beyond uptime.

Level 2. Repeatable

CI runs tests, deploys are scripted but manual-trigger, basic dashboards.

Level 3. Defined

GitOps deploys, IaC for everything, SLOs defined, on-call rotation.

Level 4. Optimized

Continuous deployment, error budgets enforced, platform team enabling product teams.

Best practices we apply

  • Make ‘deploy to production’ a single click (or a merge to main).
  • If it’s not in version control, it doesn’t exist. applies to infra too.
  • Measure DORA. Improve the worst metric first.
  • Blameless post-mortems within 5 working days of every SEV-1/2.
  • Treat your developer platform as a product with internal customers.

Common pitfalls & how we fix them

Click-ops in production
Fix: Lock console; require IaC PRs for all changes.
Alert fatigue
Fix: SLO-based alerting, page only on user impact.
‘DevOps team’ doing all the deploys
Fix: Enable product teams via golden paths, retain platform ownership.
Long-lived staging that drifts
Fix: Ephemeral environments per PR, prod-like staging refreshed nightly.

Outcomes you can expect

  • Lead time under 1 day
  • Change failure rate < 5%
  • MTTR under 30 minutes
  • Self-service developer platforms

Engagement models

CI/CD modernization
Replace brittle pipelines with reliable, observable delivery flows.
Platform engineering
Internal developer platform with golden paths and templates.
SRE on call
Reliability engineering, incident response and SLO definition.

KPIs we commit to

<1 day
Lead time
<5%
Change failure rate
<30 min
MTTR
On-demand
Deploy frequency

Tools & technologies

Orchestration
Kubernetes
Helm
Istio
Linkerd
IaC
Terraform
Pulumi
CloudFormation
Crossplane
CI/CD
GitHub Actions
GitLab CI
ArgoCD
Flux
Jenkins
Observability
Prometheus
Grafana
Loki
OpenTelemetry
Datadog
Secrets & security
Vault
SOPS
Trivy
Falco

What you get

  • Reference CI/CD pipelines with quality gates
  • Infra-as-code modules and golden paths
  • Observability stack with dashboards and alerts
  • Incident response runbooks
  • Self-service developer platform
  • DORA metrics dashboard

How we deliver

  1. 1
    Discovery
    Workshops to scope outcomes, constraints, success metrics and risks.
  2. 2
    Match
    Ranked consultants with score, availability and pre-vetted skills.
  3. 3
    Pre-onboarding
    Stack simulation aligns the consultant with your conventions before day one.
  4. 4
    Delivery
    Two-week cadence with transparent metrics, demos and async updates.
  5. 5
    Knowledge transfer
    Documentation, runbooks and pairing so capability stays in-house.

Roles available on the bench

RoleLevelIndicative rate
DevOps EngineerMid - SeniorFrom €550/day
Platform EngineerSeniorFrom €700/day
SRESeniorFrom €750/day

Rates are indicative; final pricing depends on seniority, location and engagement length.

Common stack overlap

Kubernetes
Terraform
AWS
GCP
Azure
Go
Python

Certifications on the bench

  • CKA
  • CKAD
  • AWS DevOps Pro
  • HashiCorp Terraform
Case study

Marketplace. DORA elite in 5 months

Problem

Monthly releases, 20% change failure rate, MTTR over 4 hours.

Solution

Rebuilt CI/CD on GitHub Actions + ArgoCD, added progressive delivery, wired DORA dashboards.

Result

Daily deploys, change failure rate 3%, MTTR 22 min.

Why teams choose Codivers

Pre-vetted consultants graded on skills, domain depth and soft skills.
Pre-onboarding simulation = day-one productive engineers.
Transparent scorecards, weekly health checks and replaceable on demand.
Senior bench across 8 disciplines. scale up or rebalance without re-hiring.

Glossary. speak the language

DORA metrics
Lead time, deploy frequency, change failure rate, MTTR.
GitOps
Git as the single source of truth; agents reconcile real state to it.
SLO / SLI / SLA
Objective / Indicator / Agreement. the reliability stack.
Error budget
Allowable unreliability between SLO and 100%. spend it on velocity.
Golden path
An opinionated, supported way to do a common task.

Recommended reading

The DevOps Handbook (Kim et al.)
Book
The practitioner’s reference for DevOps practices.
Google SRE Book
Free book
Canonical SRE reference. free at sre.google/books.
Team Topologies (Skelton, Pais)
Book
Platform team patterns explained.

Frequently asked

Multi-cloud experience?
Yes. AWS, Azure and GCP, plus hybrid and on-prem Kubernetes.
Can you co-own production?
Yes, including on-call rotations and incident leadership.

Related disciplines

QA & Test Engineering
Manual, automation, performance, and security testing experts.
Development
Full-stack, mobile, frontend, backend across modern stacks.
Business Analysis
Requirements, process modeling, and stakeholder alignment.