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Principles of DevSecOps
Collaboration
Collaboration

Foster a culture of collaboration between development and operations teams to enhance communication and efficiency.

Automation
Automation

Automate repetitive tasks to increase speed and reduce errors.

CI
Continuous Integration (CI)

Integrate code changes regularly for early issue detection.

CD
Continuous Delivery (CD)

Keep code always deployable for frequent and reliable releases.

IaC
Infrastructure as Code (IaC)

Manage infrastructure using code to ensure consistency and scalability.

Monitoring
Monitoring & Logging

Gain insights into system performance and user experience.

Feedback Loops
Feedback Loops

Establish quick feedback loops to improve quality.

Security
Security Integration

Integrate security practices throughout development.

Value Stream
Value Stream Mapping

Optimize value flow by removing waste.

Culture
Culture of Experimentation

Encourage experimentation to drive innovation.

Why Datamato 360° DevSecOps?

Built-In Security

  • Security embedded at every stage of the software lifecycle
  • Shift-left approach for early risk detection

Pipeline Automation

  • Automated CI/CD pipelines
  • Streamlined DevSecOps workflows at enterprise scale

GitLab Select Partnership

  • Strategic collaboration with GitLab
  • Built on GitLab Ultimate’s unified DevSecOps platform

Integrated Scanning

  • Seamless SAST/DAST integration
  • Real-time code vulnerability detection

Policy-as-Code

  • Automated governance and compliance
  • Define and enforce policies through code

Innovation Without Risk

  • Speed up delivery while staying secure
  • Empower teams to innovate confidently
Up to
3x

Faster CI/CD Pipeline Efficiency

Up to
60%

Reduction in Lead Time from Code to Release

Up to
80%

Fewer Production Vulnerabilities

Up to
40%

Vulnerability Reduction

Lifecycle
Security

Lifecycle Management

Requirement Management

Clearly define and track project objectives using tools like JIRA and GitLab

Change Management

Efficiently control and implement changes to minimize disruption

Issue Tracking

Address problems promptly and systematically with clear communication

Defect and Bug Management

Identify, prioritize, and resolve software issues through automated and manual processes

Benefits

Enhanced stakeholder satisfaction, improved project success rates, and streamlined development processes

Tools

IBM ELM, JIRA, GitLab, Azure Boards

Quality Assurance

Maintain high software standards throughout development with continuous testing strategies

Source Code Management
Versioning

Track all code changes with detailed history and implement branching strategies

Branching and Merging

Facilitate parallel development and integration with automated merge processes

Code Review

Implement merge approvals and automated checks for quality control

Tagging

Mark significant code versions for easy reference and consistent deployment

Conflict Resolution

Efficiently handle and resolve code conflicts with proper processes

Access Control

Regulate access with proper permissions and governance

Tools

IBM ELM, Git, GitLab, SVN, BitBucket

Benefits

Enhanced collaboration, reduced conflicts, improved quality

Build Management
Automated Builds

Compile code and generate artifacts automatically

Dependency Management

Handle libraries with automated updates and checks

Automated Testing

Run unit and integration tests in CI pipeline

Code Quality Checks

Static analysis with SonarQube and similar tools

Notifications

Alert team members about build status

Tools

IBM DevOps Build, Jenkins, GitLab, TeamCity, CircleCI

Benefits

Improved collaboration, stability, and rollback support

Artifact Management
Centralized Storage

Manage all build artifacts securely in one location

Versioning

Track artifact changes for consistent builds

Dependency Resolution

Automatically retrieve correct dependency versions

Metadata Management

Maintain detailed info for search and filtering

Access Control

Regulate artifact access with roles & audits

Tools

IBM ELM, Nexus, JFrog, Azure Artifacts

Benefits

Improved traceability and faster deployments

Deployment Management
Release Planning

Schedule releases aligned to business goals

Automated Deployment

Consistent deployment using automated scripts

Configuration Management

Manage environments using Ansible/Puppet

Monitoring & Logging

Track system health with logs & alerts

Rollback Procedures

Fail-safe mechanisms for quick recovery

Blue-Green Deployment

Minimizes downtime during releases

Tools

Jenkins, GitLab, Azure DevOps, CircleCI

Benefits

Reliable delivery with minimal disruption

Vulnerability Scanning - The Shift Left Approach
SAST

Analyze source code for vulnerabilities early

DAST

Test running applications for security issues

SCA

Check vulnerabilities in third-party libraries

Container Scanning

Identify insecure container images

Infrastructure Scanning

Scan infra components for weaknesses

Tools

AppScan, Fortify, GitLab, SonarQube

Benefits

Early detection and reduced risk

Infrastructure as Code (IaC)
Resource Allocation

Automate provisioning of compute, storage, and memory for optimal utilization

Machine Provisioning

Spin up physical or virtual machines rapidly using immutable infrastructure patterns

OS Management

Automate OS deployment, patching, and hardening for consistent configurations

Network Configuration

Set up and secure network settings using software defined networking principles

Middleware Deployment

Automate installation and configuration of middleware with version consistency

Access Control

Manage permissions at the infrastructure level following least privilege principles

Tools

Terraform, Ansible, Puppet, Chef, Cloud Formation

Benefits

Consistent environments, reduced manual errors, improved scalability, and faster provisioning

One Touch Provisioning
Environment Templates

Create standardized templates for consistent environments across development, testing, and production

Automated Provisioning

Set up environments with a single click, enabling self service for development teams

Configuration Management

Handle environment specific configurations automatically with secure practices

Integration with CI/CD

Seamlessly connect with existing pipelines for automated environment creation during deployment

Scalability

Easily replicate and scale environments for different teams or projects, optimizing resource utilization

Tools

GitLab, Custom Datamato solutions

Benefits

Rapid and consistent deployment, reduced manual errors, enhanced scalability, and standardized environments across the organization