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Modernization Intel
DevOps & Platform Engineering

DevOps Services

"You build it, you run it" has failed. DevOps services to build Internal Developer Platforms that treat developers as customers, not sysadmins. Stop the burnout.

⚠️ The "Backstage Trap"

Spotify's Backstage is a framework, not a product. Companies often underestimate the effort, spending $500k+ per year on a dedicated team just to keep the portal running, while developers ignore it because it's "just another link aggregator."

+ The 2025 Reality Check:

Platform Adoption
55% of Orgs
K8s Waste
90% Idle CPU
Dev Burnout
#1 Retention Risk
Trend
IDP > DIY Scripts

Top DevOps Services Companies

InfraCloud

Cloud Native / K8s

4.8
Cost$$$
Case Studies150

Eficode

DevOps & Atlassian

4.7
Cost$$$
Case Studies300

Thoughtworks

Platform Strategy

4.7
Cost$$$$
Case Studies500

Gart Solutions

Boutique DevOps

4.6
Cost$$
Case Studies80

SADA

Google Cloud / GKE

4.6
Cost$$$
Case Studies400

XenonStack

AI-Driven DevOps

4.5
Cost$$$
Case Studies120

Contino

Enterprise DevOps

4.5
Cost$$$$
Case Studies200

Container Solutions

Cloud Native Strategy

4.4
Cost$$$$
Case Studies100

BoxBoat (IBM)

DevSecOps

4.4
Cost$$$
Case Studies90

Ackstorm

Managed Kubernetes

4.3
Cost$$
Case Studies70
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True Cost of DevOps Transformation

* Costs are industry averages based on market research

CI/CD & DevOps Market Share 2025

* Data from industry surveys and analyst reports

* Building a DIY Backstage instance ($450k) is often 3x more expensive than buying a commercial IDP ($120k).

Solving the "Cognitive Load" Crisis

We asked developers to learn too much. Platform Engineering shifts the complexity back to a specialized team, offering "Golden Paths" for self-service.

1
The "DevOps" Mistake Devs manage K8s, Terraform, IAM, Security. Result: 30% coding, 70% fighting fires.
2
The Platform Solution Platform Team builds the "Paved Road." Devs just drive the car (deploy code).

Kubernetes FinOps: The Money Pit

Most K8s clusters are vastly overprovisioned.

Avg CPU Utilization 10% (Wasteful)
"Zombie" Resources 40% of Spend
Spot Instance Savings Up to 90%

Modern Platform Architecture

1. The Internal Developer Platform (IDP)

Backstage / Port / Cortex. The "Front Door" for developers.

Goal: Self-service creation of microservices, databases, and environments in 5 minutes.

2. Ephemeral Environments

Spin up a full environment for every Pull Request.

Goal: Test in production-like settings before merging. Kill the environment automatically to save money.

3. GitOps (ArgoCD / Flux)

Infrastructure as Code, managed via Git.

Goal: No manual changes to clusters. If it's not in Git, it doesn't exist. Automatic drift detection.

DevOps Services

Professional DevOps services for Platform Engineering, IDP, and Kubernetes Cost Optimization.

DevOps Transformation Guides

Move from legacy CI/CD and protocols to modern standards.

DevOps Services FAQ

Q1 What is the difference between DevOps and Platform Engineering?

DevOps is a culture of collaboration. Platform Engineering is the implementation of that culture through a product: the Internal Developer Platform (IDP). DevOps asked developers to 'do everything' (code, test, deploy, secure), leading to burnout. Platform Engineering builds a 'Golden Path' that abstracts this complexity, allowing devs to self-serve infrastructure without becoming ops experts.

Q2 Is Backstage free?

The software is open-source (free), but the Total Cost of Ownership (TCO) is high. Implementing and maintaining a useful Backstage instance typically requires a dedicated team of 3-5 engineers. For most companies under 500 developers, buying a commercial IDP (like Port, Cortex, or Harness) is significantly cheaper and faster than building your own Backstage instance.

Q3 Why are our Kubernetes costs so high?

The average Kubernetes cluster has a CPU utilization of only 10%. This means 90% of what you pay for is waste. This is caused by 'overprovisioning' (requesting too much CPU/RAM to be safe) and 'zombie resources' (dev environments left running 24/7). Implementing FinOps practices like Vertical Pod Autoscaling (VPA) and Spot Instances can cut costs by 40-60%.

Q4 What is a 'Golden Path'?

A Golden Path (or Paved Road) is a pre-configured, automated template for deploying software that follows all company best practices by default. If a developer stays on the Golden Path, they don't need to worry about security scanning, IAM roles, or Helm charts—it's all handled automatically. This reduces cognitive load and speeds up onboarding.

Q5 Should we migrate from Jenkins to GitHub Actions?

Yes. Jenkins is a 'maintenance heavy' tool that requires dedicated servers and constant plugin updates. GitHub Actions is a managed service that lives right next to your code. It eliminates the 'Jenkins server is down' bottleneck and allows developers to own their pipelines via simple YAML files.

Q6 What is the 'Cognitive Load' problem?

Cognitive Load refers to the mental effort required to learn and use tools. In modern cloud-native setups, we ask developers to know Kubernetes, Terraform, Docker, IAM, Helm, and Prometheus. This is too much. It slows down feature development and causes burnout. Platform Engineering aims to reduce this load by abstracting the underlying complexity.

Q7 Is SOAP dead?

For new development, yes. REST and GraphQL are the standards. However, SOAP is still prevalent in legacy enterprise systems (banking, healthcare). Modernizing involves placing an API Gateway (like Kong or Apigee) in front of legacy SOAP services to expose them as REST/JSON to modern frontend applications.

Q8 How do we measure Platform Engineering success?

Don't measure 'number of deployments' alone. Measure 'Developer Joy' (NPS), 'Time to First PR' for new hires, and 'Platform Adoption Rate'. If developers are voluntarily using your platform because it makes their lives easier, you have succeeded. If you have to mandate it, you have failed.