Enterprise Tech — CI/CD, Infrastructure as Code, Kubernetes

Ship Code 30x Faster
with Zero-Downtime
Deployments.

Elite DevOps teams deploy on-demand, multiple times per day, with a change failure rate below 5%. Naraway implements the CI/CD pipelines, infrastructure automation, and deployment strategies that move your team from monthly releases to daily ones — without breaking production.

30xHigher deployment frequency for elite DevOps performers vs low performers (DORA 2023)
<1hLead time for changes in elite teams, vs weeks for low performers
<5%Change failure rate target — vs 15-45% for teams without CI/CD guardrails
99.9%Uptime via zero-downtime blue-green and canary deployment strategies
DORA Benchmarks

The Four Metrics That Define DevOps Performance — and Where You Are

The DORA Research Program (Google) tracks four metrics to classify teams as Elite, High, Medium, or Low performers. Most teams sitting on monthly or quarterly releases are in the Low/Medium tier. These are the benchmarks Naraway targets.

Deployment Frequency

How often you ship to production

EliteMultiple/day
HighWeekly-Monthly
MediumMonthly-6 Months
LowLess than 6M
Lead Time for Changes

Commit to production deployment

EliteUnder 1 hour
High1 day - 1 week
Medium1 week - 1 month
Low1 month - 6 months
Mean Time to Restore (MTTR)

Recovery time after an incident

EliteUnder 1 hour
HighUnder 1 day
Medium1 day - 1 week
LowOver 1 week
Change Failure Rate

% of deployments causing incidents

Elite0 - 5%
High5 - 10%
Medium10 - 15%
Low15 - 45%
Pipeline Design

What a Production CI/CD Pipeline Looks Like

A CI/CD pipeline is not a single script — it is a chain of automated gates that verify code quality, security, and functionality before any human approves a production deployment.

Production CI/CD Pipeline — Naraway Standard

Code Push

PR opened, branch protection enforced

Security Scan

SAST, secrets scan, dependency CVE check

Test Suite

Unit, integration, and E2E tests with coverage gate

Docker Build

Multi-stage build, image scan, push to registry

Staging Deploy

Auto-deploy to staging, smoke tests run

Production

Canary or blue-green, rollback ready in 60s

GitHub Actions GitLab CI ArgoCD Helm Terraform Snyk Trivy SonarQube Datadog Kubernetes Docker AWS ECR
Deployment Strategies

Three Production Deployment Strategies — Which One Your System Needs

The deployment strategy is chosen based on your risk tolerance, traffic volume, and rollback speed requirement. Naraway recommends and implements the right one per workload — not a single pattern for everything.

Blue-Green Deployment

Two identical production environments. Traffic switches instantly from Blue (current) to Green (new). Rollback by switching traffic back — under 60 seconds.

Blue (Live)
Green (New)
Instant 100% traffic cutover
Rollback in under 60 seconds
Zero downtime if health checks pass
Requires 2x infrastructure — higher cost
Best for: Database schema migrations, major version upgrades, high-traffic launches

Canary Deployment

Route 5-10% of real traffic to the new version. Monitor error rate, latency, and business metrics. Gradually increase to 100% or rollback if metrics degrade.

90% Stable
10% New
Real traffic exposure before full rollout
Metrics-gated progression
Lowest blast radius on failure
Requires Kubernetes + service mesh (Istio/Linkerd) for precise traffic splitting
Best for: High-risk feature releases, A/B experiments, performance-sensitive changes

Rolling Deployment

Replace instances of the old version one-by-one with the new version. No extra infrastructure needed. Most Kubernetes deployments use this strategy by default.

v1
v2
v2
No extra infrastructure required
Kubernetes-native, simplest to configure
Good for stateless, backward-compatible changes
Mixed versions run simultaneously — avoid for breaking API changes
Best for: Routine deployments, stateless microservices, backward-compatible updates
DevSecOps

Security Built Into Every Stage — Not Bolted On After

Traditional security runs at the end of the release cycle. DevSecOps embeds security gates into each pipeline stage so vulnerabilities are caught at commit time, not in production.

SAST

Static code analysis on every PR — SonarQube, Semgrep, CodeQL

Secrets Scan

Block credentials and API keys from entering git — Gitleaks, truffleHog

Dep Scanning

CVE check on all npm/pip/Maven dependencies — Snyk, Dependabot

Image Scan

Docker image vulnerability scan before push — Trivy, Anchore, Grype

IaC Scan

Terraform and Kubernetes manifest security scanning — tfsec, Checkov

DAST

Dynamic testing against staging — OWASP ZAP automated scanner

Engagement

How Naraway Implements DevOps for Your Team

DevOps is not a tool purchase — it is a culture and toolchain change. Naraway runs structured programmes, not one-off setups.

1

DevOps Audit

Current pipeline mapped, DORA tier assessed, bottlenecks identified, tool gaps documented

2

IaC Foundation

Terraform environments, VPC, networking, and Kubernetes cluster provisioned. All infra in git.

3

Pipeline Build

CI/CD pipelines written per service — test gates, security scans, Docker builds, staging deploy

4

Observability Setup

Datadog or Grafana dashboards, alerting, log aggregation, SLO/SLA monitoring configured

5

Team Handover

Runbooks written, team trained on pipeline ops, oncall rotation playbook, 30-day support window

Frequently Asked

DevOps and CI/CD — Technical Questions

DORA defines four key metrics. Elite performers deploy on-demand multiple times per day, have lead time under one hour, restore service within one hour of incidents, and have a change failure rate below 5%. A well-implemented CI/CD pipeline with automated testing, feature flags, and canary deployments typically moves teams from Low to Medium or High DORA tier within 3-6 months.
Blue-green deployment runs two identical production environments. At release time, traffic switches from Blue (current) to Green (new) instantly. Rollback is immediate. Canary deployment routes a small percentage of traffic (5-10%) to the new version first, monitors error rates and latency, then gradually increases traffic if metrics are healthy. Blue-green gives instant cutover; canary gives gradual exposure. For most production systems, canary is safer for high-risk changes.
Both have their place. Kubernetes is appropriate for workloads needing fine-grained resource control, stateful services, complex microservice topologies, and multi-cloud portability. AWS Lambda or Google Cloud Run is better for event-driven workloads, infrequent or spiky traffic, and simpler services without persistent connections. Naraway evaluates your workload profile before recommending a container orchestration strategy.
A complete CI/CD pipeline with automated tests, code quality gates, Docker build, container registry push, staging deployment, and production deployment with approval gates typically takes 2-4 weeks for a single application. Infrastructure as Code setup with Terraform and environment provisioning adds another 1-2 weeks. For organisations with multiple services, Naraway runs a phased pipeline initiative over 6-12 weeks, prioritising the highest-frequency deployment targets first.
DevSecOps integrates security into the CI/CD pipeline rather than treating it as a post-deployment step. This includes: SAST on every PR, dependency vulnerability scanning, container image scanning, secrets scanning to prevent credential leaks in git, and infrastructure security scanning with tfsec or Checkov. Naraway implements DevSecOps controls as pipeline stages, so security gates run on every commit without slowing engineer velocity.

Let's Assess Your Current Pipeline and Map the Path to Elite DORA Performance.

Send us your current deployment frequency and change failure rate and we will run a free pipeline audit identifying the three highest-impact improvements.