Platform Engineering & Internal Developer Platform (IDP) Services

Modern software teams no longer deal with coding alone. They also have to handle infrastructure provisioning, CI/CD pipeline management, Kubernetes, cloud services, security controls, monitoring, secret management and deployment processes.

As application and infrastructure architectures grow, the number of technologies a developer touches increases — which can create operational complexity, inconsistent deployment standards, security problems and long delivery cycles.

Platform Engineering is a modern software engineering approach that aims to deliver the infrastructure, deployment, CI/CD, security and operations services developers need through a standardised, self-service platform.

At the centre of this approach sits the Internal Developer Platform – IDP.

With SecureSys Platform Engineering and Internal Developer Platform (IDP) Services, we help organisations build central, secure, automated and scalable development platforms for their software teams.

Our Platform Engineering approach rests on addressing these components together:

Developer Experience + Self-Service + Automation + CI/CD + GitOps + Kubernetes + Infrastructure as Code + DevSecOps + Observability + Governance

The goal is to let developers focus on building software instead of wrestling with the complex details of infrastructure.

What Is Platform Engineering?

Platform Engineering is an engineering approach in which reusable services, tools and automation layers are built to simplify application development and deployment for software teams.

In traditional structures, moving a new application into production might require a developer to:

• request a server,
• have network access opened,
• create a database,
• prepare a CI/CD pipeline,
• configure a container registry,
• create a Kubernetes deployment,
• add a monitoring system,
• configure security controls

Having these steps carried out manually by different teams can extend deployment times.

In a Platform Engineering approach, a significant portion of these processes is turned into standard services.

The developer requests the service they need through the platform, and automation in the background provisions the required resources.

What Is an Internal Developer Platform – IDP?

An Internal Developer Platform is the central platform developers use inside an organisation to build, test, deploy and manage applications.

Through an IDP, a developer can:

• create a new project,
• open a repository,
• create a CI/CD pipeline,
• request a Kubernetes namespace,
• create a database,
• define a secret,
• deploy an application,
• view logs,
• access monitoring information.

These actions take place within the organisation's security and governance policies.

Why Does Platform Engineering Matter?

Modern software development infrastructures are far more complex than they used to be.

Knowing the application language alone may no longer be enough for a developer.

A developer may also need to work with:

• Git,
• Docker,
• Kubernetes,
• Helm,
• CI/CD,
• cloud,
• Terraform,
• monitoring,
• security

This can increase developers' cognitive load.

Platform Engineering aims to manage that complexity behind the platform layer.

Developer Experience – DevEx

One of the important goals of Platform Engineering is to raise the level of Developer Experience – DevEx.

Developer Experience describes what a developer goes through in their day-to-day development work.

A well-designed platform can provide:

• fast onboarding,
• easy deployment,
• a standard development environment,
• automated pipelines,
• self-service infrastructure,
• central documentation

This can reduce the time developer teams spend on operational tasks.

Developer Self-Service

Self-service is one of the core principles of Platform Engineering.

A developer should not have to raise a ticket with the operations team every time they need something simple from the infrastructure.

For example, through the portal a developer can select:

New PostgreSQL Database

and the platform, in the background:

• creates the database,
• defines the network,
• creates the user,
• stores the secret,
• adds monitoring.

These steps can be fully automated.

Self-Service Infrastructure

Services such as:

• virtual machines,
• containers,
• Kubernetes namespaces,
• databases,
• object storage,
• message queues,
• cache

can be offered self-service through the Internal Developer Platform.

Self-service does not mean unlimited privilege, however.

Resources are created within defined corporate policies and quotas.

Golden Paths

In a Platform Engineering approach, a Golden Path is the recommended, standardised route a developer can follow to build a particular type of application.

For example, if a new API is to be developed inside the organisation, the Golden Path might be:

Repository → Code Template → CI/CD → SAST → Container Build → Kubernetes → Monitoring

The developer does not have to rebuild the same infrastructure from scratch on every project.

Golden Template

Standard application templates can be created.

For example:

Java Microservice Template

• Spring Boot
• Dockerfile
• CI/CD
• SAST
• Kubernetes Manifest
• Monitoring

can be provided ready to use.

Similarly, a:

.NET API Template

or

Node.js Microservice Template

can be created.

Platform as a Product

In a modern Platform Engineering approach, the internal platform is not treated merely as a technical infrastructure project.

The platform is managed like a product.

It therefore can have:

• users,
• a roadmap,
• SLAs,
• feedback processes,
• versions,
• a service catalogue

The platform team's customers are the developer teams inside the organisation.

Platform Team

A dedicated Platform Team can be established under a Platform Engineering approach.

The platform team centrally manages these components:

• infrastructure,
• Kubernetes,
• CI/CD,
• automation,
• security,
• observability

Developer teams consume those services through the platform.

Internal Developer Portal

The Internal Developer Portal is the central interface through which platform services are offered to developer teams.

Through the portal, the following can be viewed:

• applications,
• services,
• deployments,
• documentation,
• ownership,
• monitoring,
• infrastructure

The Difference Between a Developer Portal and an IDP

A Developer Portal generally refers to the user interface.

An Internal Developer Platform covers everything behind that portal:

• automation,
• infrastructure,
• CI/CD,
• Kubernetes,
• cloud,
• security

The portal can therefore be thought of as the visible face of the IDP.

Service Catalog

A central catalogue of the services the organisation offers can be built inside the platform.

For example, these services can be offered through the catalogue:

• PostgreSQL Database
• Kubernetes Namespace
• Redis Cache
• Object Storage
• API Gateway
• Message Queue
• CI/CD Pipeline

Software Catalog

A central inventory of all applications and microservices inside the organisation can be maintained.

A Software Catalog can hold information about:

• application name,
• owner,
• repository,
• environment,
• API,
• dependency,
• documentation

Application Ownership

In large organisations it can become difficult to establish which team manages a given application.

Ownership information can be held for every service inside the Internal Developer Platform.

This makes it possible to identify the relevant team quickly during an incident or a security vulnerability.

Platform Engineering and DevOps

Platform Engineering is not an alternative to DevOps.

It can be seen as an approach that makes DevOps culture more scalable.

Where DevOps builds collaboration and automation between teams, Platform Engineering turns shared services into a central platform.

Platform Engineering and DevSecOps

Platform Engineering offers an important opportunity to standardise security controls.

For example, in an organisation's Golden Path structure, these can be enabled by default:

• SAST,
• SCA,
• Secret Scanning,
• Container Scanning,
• IaC Security,
• DAST

Security controls then engage automatically whenever a new application is created.

Secure by Default Platform

SecureSys can apply a Secure by Default approach in platform design.

In this model, rather than the developer configuring security separately, security controls are integrated into the platform by default.

For example, standards such as:

• encryption enabled,
• MFA required,
• SAST enabled,
• secret scanning enabled,
• private network usage,
• logging enabled

can be applied.

CI/CD Platform

An Internal Developer Platform can offer central CI/CD services.

Instead of building a pipeline from scratch for every project, developers can use standard pipeline templates.

Pipeline Templates

For example, a standard pipeline can be built as:

Code

↓

Build

↓

Unit Test

↓

SAST

↓

SCA

↓

Container Build

↓

Image Scan

↓

Deployment

GitLab Platform Engineering

In organisations using GitLab, these processes can be standardised with a Platform Engineering approach:

• repository,
• CI/CD,
• security,
• container registry,
• deployment

GitHub Platform Engineering

In GitHub-based environments, a developer platform can be built using:

• GitHub Actions,
• repository templates,
• branch protection,
• secrets,
• automation

Azure DevOps Platform Engineering

In the Microsoft ecosystem, Azure DevOps can be brought into the platform architecture with its services:

• Boards,
• Repos,
• Pipelines,
• Artifacts

Jenkins Platform Engineering

Existing Jenkins infrastructures can be standardised with central pipeline templates and shared library structures.

Infrastructure as Code

A significant part of Platform Engineering infrastructure can be built with an Infrastructure as Code approach.

Servers or cloud resources can be defined through code rather than created manually.

Terraform

Terraform can be used to automatically provision these resources:

• compute,
• network,
• storage,
• Kubernetes,
• database,
• cloud services

The platform can run Terraform modules in the background.

Reusable Terraform Modules

The platform team can create standard Terraform modules.

For example, a:

Secure VM Module

can automatically create a VM together with:

• private network,
• disk encryption,
• monitoring,
• backup,
• security policy

Infrastructure Standardization

Using IaC allows standard infrastructure to be built across the organisation.

Rather than each team using different firewall or network settings, they can use approved templates.

GitOps

GitOps allows platform and application configurations to be managed through a Git repository.

Infrastructure or Kubernetes changes can be held in Git under version control.

GitOps Deployment

An example flow:

Developer → Git → Pull Request → Approval → GitOps Controller → Kubernetes

Kubernetes Platform Engineering

Kubernetes is one of the important foundations of modern Platform Engineering architectures.

SecureSys can design a Kubernetes-based Internal Developer Platform.

Within the platform, these can be standardised:

• namespace,
• resource quota,
• ingress,
• network policy,
• secrets,
• monitoring

Kubernetes Namespace as a Service

Developer teams can request a new namespace through the portal.

The platform can automatically create:

• namespace,
• RBAC,
• resource quota,
• network policy,
• logging,
• monitoring

Container as a Service Integration

The SecureSys CaaS infrastructure can be used as the compute layer of the Internal Developer Platform.

For example, this architecture can be built:

Developer Portal → IDP → CaaS → Kubernetes

Database as a Service Integration

One of the services developer teams need most often is a database.

Through the IDP, these database services can be provisioned:

• PostgreSQL,
• MSSQL,
• MySQL

For example:

Developer Portal → Service Catalog → PostgreSQL → DBaaS

Object Storage as a Service

Applications' object storage requirements can be offered self-service through the platform.

The developer can define these parameters:

• bucket,
• quota,
• retention,
• access policy

API Gateway as a Service

The API publishing processes of microservice applications can be centralised.

The platform can automatically provide these services:

• API registration,
• authentication,
• rate limiting,
• routing

Secrets as a Service

Developer teams should not store credentials inside source code.

The Internal Developer Platform can offer a central secret management service.

Applications can retrieve secret values from secure systems at runtime.

Certificate as a Service

TLS certificate issuance and renewal processes can be automated.

This can reduce service outages caused by certificate expiry.

Platform Security

Because the Internal Developer Platform reaches critical infrastructure services, it must be strongly protected.

Within SecureSys Platform Security, these controls can be assessed:

• authentication,
• MFA,
• RBAC,
• PAM,
• network segmentation,
• secrets,
• logging

Platform RBAC

Not every developer should have access to every production system.

With Role-Based Access Control, these roles can be created:

• Developer,
• DevOps,
• Platform Engineer,
• Security Engineer,
• Administrator

Least Privilege

Users and service accounts inside the platform should be granted only the privileges they need.

This approach reduces the attack surface.

Workload Identity

Rather than applications using long-lived username/password pairs, a workload identity approach can be applied.

This model can improve security particularly in cloud-native platforms.

Platform PAM Integration

Platform administrator accounts hold elevated privileges.

With SecureSys PAM integration, these processes can be centralised:

• privileged access,
• credential vault,
• session recording,
• approval,
• password rotation

Platform Network Security

Platform components can be placed in separate network zones.

For example:

Developer Network

↓

Platform Services

↓

Application Network

↓

Database Network

This structure can be supported with network segmentation.

Red Networks and Platform Engineering

In environments requiring high security, the Internal Developer Platform can be built inside a fully isolated network.

For example, this architecture can be created:

Red Network → Private Git → Private Registry → Private Kubernetes → Private DBaaS

This model can be used for critical software development environments without internet access.

Air-Gapped Developer Platform

In defence, critical infrastructure and other high-security environments, a fully air-gapped developer platform can be built.

In this structure, the following can operate without an internet connection:

• Git,
• CI/CD,
• artifact repository,
• container registry,
• Kubernetes,
• security scanners

Private Container Registry

In air-gapped or private platforms, container images can be held in a private registry inside the organisation.

This approach can reduce supply chain risk.

Private Package Repository

Developer teams' direct access to package repositories on the internet can be restricted.

Central proxy/repository systems can be built for:

• Maven,
• npm,
• NuGet,
• PyPI

Software Supply Chain Security

Platform Engineering makes it easier to apply software supply chain security centrally.

At platform level, these controls can be made mandatory:

• SCA,
• SBOM,
• dependency scanning,
• artifact signing,
• secret scanning,
• container scanning

SBOM Automation

A Software Bill of Materials can be generated automatically after every build.

An SBOM makes the dependencies and components an application uses visible.

Artifact Management

Artifacts produced by a build can be stored in a central repository.

For example, these can be versioned:

• binary,
• package,
• container image,
• library

Artifact Signing

Digital signing mechanisms can be used to verify the integrity of release artifacts.

This approach strengthens software supply chain security.

Policy as Code

Platform policies can be defined as code.

For example, rules such as:

No Public Databases

No Privileged Containers

Encryption Required

Production Deployment Approval Required

can be enforced automatically.

Compliance as Code

Corporate security and compliance requirements can be turned into automated controls.

This approach can automate part of what would otherwise be manual compliance checking.

Platform Observability

Central observability infrastructure is needed for the Internal Developer Platform to run healthily.

Observability consists of these components:

Metrics + Logs + Traces

Centralized Logging

Application and platform logs can be forwarded to a central log management system.

Developers can access only the logs of the applications they are authorised for.

Metrics Monitoring

Metrics such as these can be tracked on the platform:

• CPU,
• memory,
• latency,
• error rate,
• request count,
• pod health

Distributed Tracing

In a microservices architecture, a single request can pass through several services.

Distributed tracing allows a request's journey between services to be analysed.

Application Performance Monitoring

APM systems make it possible to analyse application performance problems.

APM integration can be offered as a default service within Platform Engineering.

Platform and SOC Integration

Platform security events can be forwarded to the SecureSys 24/7 SOC infrastructure.

For example, these events can be analysed through SIEM:

• repository changes,
• privileged login,
• Kubernetes audit,
• deployment,
• security gate bypass

Platform SIEM Integration

Logs from Git, Kubernetes, cloud and CI/CD systems can be forwarded to SIEM.

Development and production environments can then be assessed under a single security view.

Platform Vulnerability Management

Findings detected inside the platform:

• SAST vulnerabilities,
• vulnerable dependencies,
• container vulnerabilities,
• infrastructure vulnerabilities

can be brought into the central vulnerability management process.

Developer Security Dashboard

A dashboard showing the security posture of their applications can be offered to developer teams.

The dashboard can display results for:

• SAST,
• SCA,
• SBOM,
• container vulnerabilities,
• security gate

Platform Engineering and FinOps

Uncontrolled use of self-service infrastructure can increase cloud costs.

Platform Engineering and FinOps should therefore be considered together.

Resource Quota

Limits can be set per team or project for:

• CPU,
• RAM,
• storage,
• database,
• cloud resources

Showback

The cost of the infrastructure resources teams consume can be reported.

This model is called showback.

Chargeback

In more advanced structures, the cost of consumed resources can be charged back to the relevant department or project.

Platform Cost Optimization

SecureSys can help optimise platform costs through analysis of:

• unused resources,
• oversized workloads,
• idle environments,
• storage consumption

Ephemeral Environment

Temporary environments can be created automatically for developer or test teams.

For example, a temporary test environment is created when a pull request is opened.

When the PR is closed, the environment is deleted automatically.

This approach increases development speed while keeping resource consumption under control.

Development Environment as a Service

Standard development environments can be offered to developer teams as a service.

This can reduce the “it worked on my machine” problem.

Platform Engineering and Microservices

In microservices architectures the number of services can grow quickly.

Platform Engineering can simplify microservices management by standardising these processes:

• service template,
• API gateway,
• logging,
• monitoring,
• deployment,
• security

Platform Engineering and API Management

Within the platform, these processes for API services can be centralised:

• registration,
• documentation,
• authentication,
• authorisation,
• versioning

Platform Engineering and AI Applications

The spread of generative AI and AI agent applications is widening the scope of developer platforms.

AI development teams may need specialised infrastructure services such as:

• model endpoint,
• vector database,
• GPU,
• object storage,
• secret management,
• monitoring

An Internal Developer Platform can offer these self-service.

AI Platform Engineering

A dedicated Golden Path can be created for AI applications.

For example:

AI Application Template → Git → CI/CD → Security → Model API → Vector DB → Kubernetes → Monitoring

This structure can standardise AI development processes.

LLM Platform Services

These services can be offered to developer teams inside the platform:

• LLM endpoint,
• prompt management,
• vector database,
• RAG service,
• evaluation,
• monitoring

AI Agent Platform

For teams building AI agents, these services can be provided through the central platform:

• model access,
• tool integration,
• API management,
• identity,
• secrets,
• logging

AI Governance and Platform Engineering

The rapid growth of AI applications increases the need for governance.

Platform Engineering can enable central management of information such as:

• which model is in use,
• which application accesses which model,
• which data source is used,
• which team owns the application

ISO/IEC 42001 and AI Platforms

The governance, logging, access control and lifecycle processes of the platforms used to build and operate AI applications can technically support an AI management system approach.

These mechanisms can be established on the platform:

• model inventory,
• application ownership,
• access control,
• logging,
• change management

Platform Engineering and ISO/IEC 27001

Applying access control, logging, secure development, change management and vulnerability management centrally on an Internal Developer Platform can support ISO/IEC 27001 information security processes.

Platform Engineering KPIs

Platform success should not be measured by technical uptime alone.

Example KPIs can be defined as:

• deployment frequency,
• lead time,
• developer onboarding time,
• failed deployment rate,
• platform adoption,
• self-service usage,
• provisioning time

DORA Metrics

Metrics such as these can be used to measure DevOps performance:

• Deployment Frequency,
• Lead Time for Changes,
• Change Failure Rate,
• Mean Time to Restore

Platform Engineering can contribute to improving these metrics.

Developer Onboarding Time

Preparing a development environment can take a new developer days.

With Platform Engineering, onboarding time can be reduced by standardising the required:

• repository,
• development environment,
• access,
• documentation,
• tooling

Platform Documentation

Central documentation must be created so platform services can be used correctly.

The documentation can contain information on:

• the service catalogue,
• Golden Paths,
• APIs,
• deployment,
• troubleshooting

TechDocs and Documentation as Code

Technical documentation can be managed like code inside a Git repository.

This approach helps keep documentation current alongside the application.

Platform Engineering Maturity Assessment

SecureSys can assess an organisation's current Platform Engineering maturity.

The analysis can examine these areas:

• developer experience,
• CI/CD,
• Kubernetes,
• IaC,
• self-service,
• security,
• observability,
• governance

Platform Engineering Roadmap

Platform Engineering does not have to be a single large project delivered all at once.

The transition can be staged.

Stage 1 – Standardization

CI/CD, repository and deployment standards are established.

Stage 2 – Automation

Infrastructure as Code and automation processes are applied.

Stage 3 – Self-Service

The Developer Portal and Service Catalog are created.

Stage 4 – Security

DevSecOps, Policy as Code and security gate integrations are carried out.

Stage 5 – Observability

Monitoring, logging and tracing are centralised.

Stage 6 – Platform as a Product

Platform usage metrics and developer feedback processes are established.

Platform Migration

Existing development and DevOps infrastructures can be migrated to an Internal Developer Platform model.

During the migration, these systems are analysed:

• existing repositories,
• pipelines,
• Kubernetes,
• cloud,
• security,
• monitoring

The aim can be to preserve existing investments wherever possible.

Multi-Cloud Developer Platform

An Internal Developer Platform can provision resources across different cloud providers.

Developers can use standard service catalogues without having to know which cloud they are running on.

Hybrid Cloud Platform Engineering

Some of an organisation's applications may run on-premise and others in the cloud.

An IDP can bring these infrastructures together under a single service model.

For example:

Developer Portal

↓

Private Cloud / Public Cloud / Kubernetes / DBaaS

Private Platform Engineering

Because of data sovereignty or security requirements, a private developer platform running entirely in the organisation's own data centre can be built.

This structure can be considered particularly in public sector, finance, defence and critical infrastructure environments.

Platform High Availability

Once the Internal Developer Platform becomes critical development infrastructure, the platform itself must also be highly available.

SecureSys can design these components in an HA architecture:

• Git,
• CI/CD,
• registry,
• Kubernetes,
• database,
• monitoring

Platform Backup

Git repositories, configuration, artifacts and platform databases must be backed up regularly.

The backup infrastructure can be integrated with immutable backup and cold backup systems.

Platform Disaster Recovery

A disaster recovery architecture can be built for critical developer platforms.

For example:

Primary IDP → Replication / Backup → DR Platform

The aim is for development operations to continue in an alternative environment when the primary platform is unavailable.

Platform Engineering as a Service

A managed service model can be applied for organisations that do not want to build Platform Engineering capability in-house.

Within Platform Engineering as a Service, SecureSys can manage:

• platform build,
• Kubernetes,
• CI/CD,
• IaC,
• developer portal,
• security,
• monitoring,
• operations

Managed Internal Developer Platform

After the IDP is built, day-to-day platform operations can be managed by SecureSys.

The service can cover these processes:

• platform monitoring,
• upgrades,
• Kubernetes operations,
• CI/CD management,
• security updates,
• capacity management,
• incident management

Platform Health Check

A health check can be carried out on an existing Internal Developer Platform or DevOps infrastructure.

The SecureSys Platform Health Check can assess these areas:

• architecture,
• security,
• performance,
• availability,
• automation,
• developer experience

The SecureSys Platform Engineering Service Process

1. Current Environment Analysis

Development, DevOps, infrastructure and cloud environments are analysed.

2. Developer Journey Analysis

The path a developer takes from code to production is mapped.

3. Defining Platform Requirements

The shared services developer teams need are identified.

4. Target Platform Architecture

The IDP, Kubernetes, CI/CD, IaC and security architecture is designed.

5. Service Catalog

The services to be offered self-service are determined.

6. Golden Paths

Standard application and deployment routes are established.

7. Automation

IaC and GitOps integrations are carried out.

8. DevSecOps

SAST, SCA, SBOM, secret scanning and container security controls are added.

9. Observability

Logging, monitoring and tracing infrastructure is built.

10. Security

RBAC, PAM, secrets and network segmentation are applied.

11. Developer Portal

Platform services are offered through a central portal.

12. Operations and Continuous Improvement

The platform is continuously improved in line with usage data and developer feedback.

Why SecureSys for Platform Engineering?

Platform Engineering is not simply building a Kubernetes cluster or a developer portal.

A successful Internal Developer Platform requires these components to work together:

Developer Experience + Infrastructure + Kubernetes + CI/CD + Automation + Security + Observability + Governance

The SecureSys Platform Engineering approach addresses infrastructure and software development processes alongside cyber security capabilities.

The platform therefore aims not only to accelerate developer teams, but also to apply the organisation's security and operational standards to software development automatically.

Our approach rests on this model:

Build Once → Standardize → Automate → Secure → Self-Service → Measure → Improve

Frequently Asked Questions

What is Platform Engineering?

Platform Engineering is an engineering approach that delivers shared infrastructure, CI/CD, Kubernetes, security and operations services to developer teams through a standard platform.

What is an Internal Developer Platform?

An IDP is an internal platform that lets developers use the services they need to build, deploy and manage applications on a self-service basis.

Are a Developer Portal and an IDP the same thing?

No. A Developer Portal is generally the user interface. An IDP covers all of the automation, infrastructure, CI/CD and platform services behind that portal.

What is a Golden Path?

A Golden Path is the standard development and deployment route an organisation recommends for a particular type of application.

Does Platform Engineering replace DevOps?

No. Platform Engineering allows DevOps principles to be applied more consistently and at greater scale in large developer organisations.

Can Platform Engineering be used together with DevSecOps?

Yes. SAST, SCA, SBOM, secret scanning, container scanning and security gate controls can be integrated into the platform by default.

Is Kubernetes mandatory for Platform Engineering?

No. However, Kubernetes is one of the foundations commonly used in modern Internal Developer Platform architectures.

Can an IDP be deployed on-premise?

Yes. An Internal Developer Platform can be built entirely in the organisation's own data centre or private cloud environment.

Can an air-gapped developer platform be built?

Yes. An air-gapped developer platform can be built in isolated environments without internet access, using private Git, registry, CI/CD and Kubernetes.

Can Platform Engineering be purchased as a service?

Yes. The build, security, monitoring and operation of the platform can be delivered as a managed service.

Accelerate Your Software Teams with a SecureSys Internal Developer Platform

Having every developer team build its own CI/CD pipeline, Kubernetes configuration, monitoring system, security tooling and infrastructure processes can create serious technical debt and operational complexity over time.

With SecureSys Platform Engineering services you can bring these processes together under a shared Internal Developer Platform:

Developer Portal → Service Catalog → Golden Paths → CI/CD → DevSecOps → Kubernetes → DBaaS → Observability

Instead of losing time to infrastructure tickets and repetitive operations, your developer teams can consume approved and secure services on a self-service basis.

Have your Platform Engineering maturity assessed, design your Internal Developer Platform architecture, and turn your software development infrastructure into a secure self-service platform.