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DevSecOps

Software delivery should move fast without moving security to the end.

OpsTree engineers DevSecOps systems that standardize delivery, automate workflows, embed security, and enable controlled self-service across cloud, hybrid, and on-prem environments.

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Standardize delivery Automate engineering workflows Embed security & governance Controlled self‑service Cloud, hybrid & on‑prem

Enterprise reality

Moving to cloud is only the beginning.

Some workloads need to move as they are. Some need to be re‑platformed. Some need to be re‑architected. Some should become cloud‑native. And some may not need to move at all.

The challenge isn’t simply “How do we move to cloud?”

It’s: What should move, how should it change, and how do we make the cloud environment better than what came before?

  • Workloads differ in criticality, dependencies and architecture
  • Migration strategy must follow each application, not the other way around
  • Cloud environments need engineering — not just hosting
  • Security, governance and economics must be built in from day one

The cloud strategy follows the workload — not the other way around.

What can you transform?

From fragmented delivery pipelines to an engineered software delivery system.

DevSecOps connects development, security, infrastructure and operations around a common delivery model.

01

CI/CD Engineering

Modernize and standardize continuous integration and delivery across applications, teams and environments.

Technical Scope

  • Pipeline Architecture
  • Build Automation
  • Continuous Integration
  • Continuous Delivery
  • Artifact Management
  • Pipeline Templates
  • Deployment Automation
  • Environment Promotion
  • Release Controls
  • Pipeline Governance

How It Works

Reusable pipeline patterns establish common build, test, security and deployment stages while allowing application teams to consume approved workflows through self-service.

Typical Transformation

  1. Fragmented pipelines
  2. Standardized CI/CD
  3. Repeatable enterprise delivery
02

GitOps

Use Git as the controlled source of truth for application and infrastructure delivery.

Technical Scope

  • Git-Based Deployment
  • Declarative Configuration
  • Kubernetes Delivery
  • Environment Configuration
  • Pull-Based Deployment
  • Drift Detection
  • Version Control
  • Automated Reconciliation
  • GitOps Workflows

How It Works

Desired application and infrastructure state is defined declaratively in Git and reconciled into target environments through automated delivery workflows.

Typical Transformation

  1. Manual environment changes
  2. Git-managed desired state
  3. Automated & auditable delivery
03

DevSecOps Automation

Embed security, compliance and engineering controls directly into delivery workflows.

Technical Scope

  • Security Gates
  • Automated Validation
  • SAST
  • SCA
  • Secrets Detection
  • SBOM
  • Container Security
  • Policy Enforcement
  • Compliance Checks
  • Automated Remediation

How It Works

Security and compliance checks become part of the delivery path rather than separate activities performed after development.

Typical Transformation

  1. Security after development
  2. Security within delivery
  3. Continuous security validation
04

Release Engineering

Engineer repeatable release processes for applications operating across complex environments.

Technical Scope

  • Release Automation
  • Version Management
  • Artifact Promotion
  • Environment Promotion
  • Release Orchestration
  • Approval Controls
  • Rollback
  • Release Policies
  • Deployment Tracking

How It Works

Release processes are codified into reusable workflows so teams can promote software consistently across environments while retaining required controls.

Typical Transformation

  1. Manual releases
  2. Automated release workflows
  3. Predictable production delivery
05

Canary & Blue-Green Deployments

Reduce release risk by controlling how new versions reach production.

Technical Scope

  • Canary Releases
  • Blue-Green Deployment
  • Traffic Shifting
  • Progressive Delivery
  • Automated Rollback
  • Health Checks
  • Release Validation
  • Deployment Policies

How It Works

New versions are introduced progressively or alongside existing versions, allowing deployment health to be validated before broader traffic exposure.

Typical Transformation

  1. All-at-once releases
  2. Controlled exposure
  3. Lower-risk production rollout
06

Developer Self-Service

Move recurring delivery and environment requests from manual tickets into governed engineering workflows.

Technical Scope

  • Pipeline Provisioning
  • Environment Creation
  • Application Scaffolding
  • Deployment Requests
  • Configuration
  • Secrets
  • Infrastructure Requests
  • Service Catalogs
  • Access Controls

How It Works

Approved capabilities are exposed through self-service workflows with predefined parameters, permissions, policies and validation.

Typical Transformation

  1. Ticket-driven delivery
  2. Self-service workflows
  3. Faster engineering execution with guardrails
07

Infrastructure as Code

Codify infrastructure and environment configuration so delivery becomes repeatable across environments.

Technical Scope

  • Infrastructure as Code
  • Environment as Code
  • Cloud Infrastructure
  • Kubernetes
  • Networking
  • Compute
  • Storage
  • IAM
  • Configuration Management
  • Automated Provisioning

How It Works

Infrastructure and environment definitions are version-controlled and integrated with delivery workflows.

Typical Transformation

  1. Manual infrastructure
  2. Codified infrastructure
  3. Reproducible environments
08

Security in CI/CD

Move security controls into the software delivery path.

Technical Scope

  • SAST
  • SCA
  • Secrets Detection
  • Container Security
  • SBOM
  • Dependency Analysis
  • Code Quality
  • Vulnerability Validation
  • Security Gates

How It Works

Security checks are executed as part of build, pull request and deployment workflows, creating earlier feedback and traceable release controls.

Typical Transformation

  1. Late security checks
  2. Continuous security validation
  3. Secure release pipeline
09

SAST / SCA / SBOM

Create software supply-chain visibility across code, dependencies and artifacts.

Technical Scope

  • Static Application Security Testing
  • Software Composition Analysis
  • Dependency Scanning
  • SBOM Generation
  • Vulnerability Detection
  • License Analysis
  • Artifact Security
  • Security Reporting

How It Works

Application code, dependencies and build artifacts are evaluated within the engineering lifecycle so security findings can be identified before release.

Typical Transformation

  1. Limited supply-chain visibility
  2. Automated security analysis
  3. Traceable software composition
10

Policy-as-Code

Turn engineering, security and compliance requirements into executable delivery policies.

Technical Scope

  • Policy-as-Code
  • Deployment Policies
  • Infrastructure Policies
  • Security Policies
  • Compliance Rules
  • Admission Controls
  • Governance Automation
  • Audit Policies

How It Works

Rules are codified and evaluated automatically during infrastructure provisioning, application delivery and environment changes.

Typical Transformation

  1. Manual governance
  2. Automated policy enforcement
  3. Consistent engineering guardrails
11

Governance & Compliance

Create centralized visibility and governance without slowing every engineering decision with manual intervention.

Technical Scope

  • Compliance Controls
  • Audit Trails
  • Governance Reporting
  • Policy Enforcement
  • Release Governance
  • Security Controls
  • Centralized Visibility
  • Process Standardization

How It Works

Governance is embedded into standardized workflows, templates and automated controls, creating traceability while enabling controlled self-service.

Typical Transformation

  1. Manual governance
  2. Embedded controls
  3. Continuous compliance visibility
12

AI-Enabled DevSecOps

Use AI to improve engineering feedback, security analysis and remediation without removing delivery controls.

Technical Scope

  • AI-Assisted Code Review
  • AI Log Analysis
  • AI Remediation
  • Agentic DevSecOps
  • Intelligent Alert Analysis
  • Context-Aware Remediation
  • Engineering Intelligence

How It Works

AI analyzes engineering and security signals within controlled workflows, helping teams interpret findings and perform defined corrective actions.

Typical Transformation

  1. Manual analysis
  2. AI-assisted engineering response
  3. Context-aware delivery operations
50%+Fewer non-actionable alerts
~25%Less investigation time
~20%Lower pipeline maintenance
13

Engineering Intelligence & DORA

Make delivery performance visible across teams, applications and engineering workflows.

Technical Scope

  • DORA Metrics
  • Deployment Frequency
  • Lead Time for Changes
  • Change Failure Rate
  • Recovery Time
  • Pipeline Analytics
  • Delivery Insights
  • Engineering Productivity
  • Operational Signals

How It Works

Engineering and delivery signals are collected across the lifecycle to identify bottlenecks, delivery patterns and improvement opportunities.

Typical Transformation

  1. Limited delivery visibility
  2. Measurable engineering performance
  3. Data-driven delivery improvement

Assess the estate. Choose the right cloud path.

Every workload has a different starting point. Understand the applications, dependencies, infrastructure, data, business criticality and operational constraints before deciding how the cloud journey should evolve.

“The cloud strategy follows the workload — not the other way around.”

  1. Discover

    Understand workloads, dependencies, architecture and business context.

  2. Assess

    Identify migration readiness, modernization opportunities, risks and constraints.

  3. Architect

    Define the target cloud architecture, infrastructure and operating model.

  4. Migrate

    Move workloads using the right migration strategy for each application.

  5. Modernize

    Re‑platform, refactor or re‑architect where cloud‑native transformation creates value.

  6. Optimize

    Continuously improve performance, resilience, security and cloud economics.

  7. Operate

    Run production through observability, automation and reliability engineering.

What Does It Deliver?

From engineering friction to measurable delivery outcomes.

One delivery engine. Multiple engineering environments.

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Telecom DevSecOps at Scale

Telecom — DevSecOps at scale

A global telecom environment serving 500M+ customers across 18 countries needed standardized deployments, embedded security and higher engineering velocity.

OpsTree implemented

  • Self-service CI/CD templates
  • DevSecOps audit gates
  • Observability-led right-sizing
  • Canary releases and rollback
  • 70%Faster deployments
  • 98%+Process compliance
  • 30%Infrastructure cost savings
  • 10+Daily deployments
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Connected Ecosystem

DevSecOps doesn’t operate alone.

Delivery connects the engineering ecosystem. Platform, cloud, data, AI and operations all feed into the software delivery lifecycle.

  • Platform Engineering

    Provides the reusable engineering foundation.

    Explore more

  • Cloud

    Provides infrastructure.

    Explore more

  • Data

    Provides the systems and information applications depend on.

    Explore more

  • AI

    Increases the speed and scale of engineering.

    Explore more

  • DevSecOps

    Connects those capabilities to the software delivery lifecycle.

    Explore more

  • SRE & Observability

    Provide production feedback.

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FAQ

Questions we hear most.

Direct answers from engineers building delivery systems at enterprise scale.

01 / 07

What is DevSecOps?

DevSecOps integrates development, security and operations into a shared software delivery lifecycle, using automation, controls and engineering practices to make delivery faster and more governed.

Bring your transformation challenge. Let’s engineer what’s next — together.

Talk to our engineers

Ready to engineer what’s next?

Engineer delivery that scales.

Build a software delivery system where velocity, security and governance move together — across cloud, hybrid and on‑prem environments.

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Possibilities ReImagined