PTC Codebeamer and IBM ELM Integration: A Complete Guide with Our OSLC Adapter and Services

PTC Codebeamer and IBM ELM Integration: A Complete Guide with Our OSLC Adapter and Services

PTC Codebeamer and IBM ELM Integration:
A Complete Guide with Our OSLC Adapter and Services

Table of Contents

Introduction: The Need for Cross‑Platform ALM Integration

In regulated industries like automotive, aerospace, and healthcare, engineering teams often rely on a mix of tools—such as IBM Engineering Lifecycle Management (ELM) for compliance-heavy systems and PTC Codebeamer for Agile development and traceability. However, when these platforms operate in isolation, they create silos that lead to duplicated effort, traceability gaps, and audit risks. A seamless integration using OSLC-based adapters bridges these gaps, ensuring synchronized workflows, real-time traceability, and better cross-team collaboration. 

Key Challenges Without Integration:

  • Disconnected requirements, development, and test data 
  • Manual data duplication and sync errors 
  • Difficulty maintaining compliance traceability 
  • Slower audits and risk of non-compliance 

Why Integration Matters:

  • Streamlines workflows across tools 
  • Enables live linking and automated updates 
  • Improves collaboration between system and software teams 
  • Enhances audit readiness and reporting 

What Is IBM ELM and PTC Codebeamer Integration?

IBM Engineering Lifecycle Management (IBM ELM) is a suite of tools designed to support end-to-end systems engineering in highly regulated industries. It covers requirements management, architecture, change management, and quality assurance—aligned to standards such as DO-178C, ARP 4754, ISO 26262, and IEC 62304. PTC Codebeamer, on the other hand, is a modern ALM platform known for its configurability, variant management, built-in regulatory templates, and robust support for Agile and DevOps workflows. When both platforms are used within the same organization—often across departments or development stages—the lack of integration can lead to duplicated work, communication breakdowns, and compliance risks. 

By integrating IBM ELM and PTC Codebeamer using an OSLC-based adapter or API bridge, organizations can synchronize key artifacts—such as requirements, test cases, change requests, and defects—across both systems. This allows cross-functional teams to collaborate seamlessly while using their preferred tools, improving efficiency, visibility, and traceability. 

Key Integration Capabilities:

  • Bidirectional synchronization of work items (e.g., requirements, defects, test cases) 
  • Live linking of artifacts between ELM and Codebeamer 
  • Preservation of traceability chains for audits and safety standards 
  • Real-time collaboration across different lifecycle stages 
  • Support for change impact analysis across both tools 

This integration ensures that engineers, testers, quality managers, and compliance teams are always working with the latest, most accurate information—regardless of which platform they use. 

The Role of OSLC and REST APIs in ALM Integration

Effective integration between ALM platforms like IBM ELM and PTC Codebeamer requires a flexible yet standardized approach. This is where OSLC (Open Services for Lifecycle Collaboration) plays a central role. OSLC is an open standard specifically designed to link artifacts—such as requirements, test cases, change requests, and defects—across heterogeneous tools. It allows users to create and maintain traceable relationships between lifecycle elements in real time, directly from within their primary working environment. This ensures that teams working across platforms can view and access related data without duplicating or migrating information. OSLC also ensures that these links remain live and context-aware, supporting end-to-end traceability that is critical for compliance-heavy industries. 

While OSLC excels at live linking and traceability, REST APIs (Representational State Transfer) provide the technical backbone for more robust operations, such as bulk data synchronization, artifact creation, and event-based integration. REST APIs allow direct access to platform data and workflows, enabling our adapter to push or pull large sets of data between IBM ELM and Codebeamer in a scalable and controlled manner. By combining OSLC and REST APIs, our integration solution achieves the best of both worlds: real-time visibility for users and backend data consistency for systems. 

Key Integration Features Enabled by OSLC + REST:

  • Live traceability across IBM ELM and Codebeamer artifacts 
  • Seamless in-browser linking and navigation between platforms 
  • Batch sync for high-volume updates or periodic data refresh 
  • Event-triggered updates (e.g., on status change or approval) 
  • Compatibility with compliance requirements through trace logs and versioning 

This dual-approach ensures robust, scalable, and traceable integration—designed for the complex demands of modern product development environments. 

Our ELM Integration Adapter: Architecture & Benefits

Our ELM Integration Adapter is purpose-built to connect IBM ELM (including modules like DOORS Next, ETM, and EWM) with PTC Codebeamer, ensuring smooth, bidirectional synchronization of ALM artifacts. The architecture is designed for flexibility and scalability, combining OSLC live linking with REST-based data exchange. This hybrid approach allows teams to maintain real-time traceability across systems while also supporting backend sync for audits, reporting, and bulk updates. 

The adapter is configuration-driven—no custom coding needed for most integrations. Teams can define mappings between requirement types, workflows, statuses, and even attachments or comments. Event listeners detect when artifacts are created or modified and ensure updates propagate to the connected system, while maintaining data fidelity and integrity across environments. 

📐 Architecture Overview:

  • Connector Layer: OSLC connectors for IBM ELM (RM, ETM, CCM) and REST integrations with Codebeamer artifacts. 
  • Mapping Engine: Flexible mapping logic for aligning field types, statuses, workflows, and artifact types (e.g., ELM Requirement → Codebeamer Work Item). 
  • Event Listener: Detects create/update events and pushes real-time or batch updates between platforms. 
  • Audit Log & Attachments Sync: Maintains full sync of version history, comments, attachments, and trace links. 
  • Security & SSO: Supports enterprise-grade security with SAML or OAuth2-based SSO and role-aware access control. 

🎯 Key Benefits:

  • Live traceability across IBM and PTC ALM tools 
  • Significant reduction in manual sync efforts and reconciliation errors 
  • Unified data model for cross-platform reporting and dashboards 
  • Full audit-readiness with traceable version history and logs 
  • Scalable integration without code changes—driven by configuration 

 

This adapter empowers organizations to achieve end-to-end visibility, maintain regulatory compliance, and improve engineering collaboration across tool boundaries. 

Connecting PTC Codebeamer with IBM ELM: Use Cases & Benefits

Integrating PTC Codebeamer with IBM ELM unlocks significant efficiencies across the systems and software engineering lifecycle. Organizations using both tools often struggle with disconnected workflows, inconsistent data, and redundant effort across teams. With a robust integration in place, ALM artifacts like requirements, test cases, change requests, and defect reports can be automatically synchronized—enabling seamless collaboration and faster decision-making. 

The integration creates a shared digital thread across platforms, allowing domain experts—from embedded development teams to system architects and QA leads—to work in their preferred environments while staying aligned. Below is a breakdown of key integration use cases and their business and technical benefits: 

Technical Deep Dive: How Our Adapter Works with Your Toolchain

Our ELM–Codebeamer integration adapter is purpose-built to handle the complexities of regulated, multi-tool ALM environments. Designed to work without heavy customization, it offers a configuration-first, scalable architecture that integrates seamlessly into your existing toolchain. 

Below is a deeper look at the core technical capabilities of the adapter and how it fits into your development ecosystem:  

⚙️ Configuration-Driven Mapping

  • No custom coding required: Administrators define mappings using an intuitive UI. 
  • Artifact Type Mapping: Configure how IBM ELM artifact types (e.g., Requirements, Test Plans, Work Items) map to Codebeamer types (e.g., User Stories, Change Requests, Tests). 
  • Attribute Alignment: Map attributes like priority, status, owner, or version to ensure semantic consistency across platforms. 
  • Link Behavior: Define link types (e.g., validates, satisfies, implements) to maintain end-to-end traceability. 

🔔 Webhook-Based Event Handling

  • Near real-time sync: Webhooks in IBM ELM and Codebeamer listen for create/update/delete events. 
  • Push architecture: Changes are automatically pushed to the target system without polling delays. 
  • Reduced latency: Ensures engineering data is updated within seconds, improving collaboration speed. 

🔄 Conflict Resolution Protocols

  • Configurable policies: Choose between “last writer wins” or rules-based merge logic for conflict scenarios. 
  • Validation checks: Ensure changes are compliant with workflow rules or approval steps before propagation. 
  • Audit trail: Full history of changes and resolution actions is stored for compliance and governance. 

📎 Binary & Attachment Synchronization

  • Support for rich artifacts: Files such as test result logs, PDFs, images, and requirement documents are synced along with metadata. 
  • Integrity preservation: Checksums and version IDs are retained to ensure traceable documentation. 
  • Efficient transmission: Optimized for minimal bandwidth consumption, with optional compression. 

🔗 Link Visualization & OSLC UI Previews

  • Context-aware linking: Artifacts from Codebeamer are visible in IBM ELM (and vice versa) as live, clickable links. 
  • OSLC link previews: Hover or click to reveal artifact summaries without leaving your current tool. 
  • End-user clarity: Engineers see trace links in their native UI, reducing navigation friction and boosting productivity. 

🔄 Flexible Master–Slave Configurations

  • Master-slave or bi-directional: Choose whether one system is the source of truth or allow two-way synchronization. 
  • Use-case-driven modes: 

– IBM ELM as master: Ideal when systems engineering drives requirement changes. 

– Codebeamer as master: Useful when Agile teams originate features and feedback loops. 

– Bi-directional: Enables full parity for dynamic environments with complex stakeholder inputs. 

🧩 Toolchain Compatibility

Our adapter is built for integration flexibility: 

  • Works with on-premise or cloud-hosted instances of IBM ELM and Codebeamer. 
  • Supports hybrid DevOps toolchains using Jira, Git, Jenkins, Polarion, or other platforms alongside ALM. 
  • Compatible with AWS, Azure, or private cloud deployment models. 

 

By embedding this adapter into your toolchain, your teams gain real-time visibility, full traceability, and automation without disrupting current workflows. This technical foundation not only bridges ALM silos but also ensures your compliance and quality assurance processes remain intact and auditable. 

Case Studies: Adapter Implementation in Automotive & Aerospace

Case Study A — Automotive OEM:

  • Used Codebeamer for feature release & sprint planning; IBM RM/ETM for system requirements and test engineering. 
  • Adapter enabled live mapping between system and embedded requirements, dramatically reducing handover meetings. 
  • Reduced requirement drift by 90%, helped audit lean. 

Case Study B — Aerospace Manufacturer:

  • High traceability needed across safety certification. Integration allowed test evidence generated in Codebeamer to automatically reflect in IBM ETM for review. 
  • Compliance artifacts were auto bundled for regulators; audit cycles shortened by multiple days. 

Measuring ROI from Integrated ALM Systems

Investing in integrated ALM (Application Lifecycle Management) systems isn’t just about convenience—it’s a strategic move that delivers measurable returns across quality, compliance, and team efficiency. When platforms like IBM ELM and PTC Codebeamer are synchronized via a robust OSLC-based adapter, the impact ripples across the organization. Integration eliminates redundancy, shortens development cycles, and minimizes compliance risks, which directly translates to both time and cost savings. 

For enterprises in regulated sectors such as automotive, aerospace, and healthcare, the ROI is not hypothetical—it’s tangible and often fast. By removing the silos between systems engineering and product development teams, companies unlock unified reporting, real-time traceability, and improved collaboration. This, in turn, enables quicker decisions, fewer reworks, and more predictable release cycles. 

Quantifiable ROI Benefits

  • ⏱️ Reduced manual reconciliation workload 
    Up to 80% savings in time spent manually updating and aligning data between tools. 
  • 🐞 Improved defect-to-requirement traceability 
    Enhanced visibility reduces “escaped” defects and accelerates root cause identification. 
  • 📋 Faster audits and certification cycles 
    With trace links and change histories always up to date, teams spend significantly less time preparing for audits and external certifications. 
  • 🔁 Elimination of duplicate effort 
    No need for multiple teams to replicate changes—single-source updates are propagated automatically. 
  • 🚀 Accelerated release cycles 
    With tighter integration and automated test feedback loops, cycle time reductions of 25–40% are common. 
  • 💰 ROI realization in 6–9 months 
    Most organizations recover their integration investment within the first 6–9 months, driven by time savings, reduced audit overhead, and fewer quality-related delays. 

 

Integrated ALM is more than a technical upgrade—it’s a business enabler that improves operational efficiency, regulatory readiness, and product quality. By investing in a unified system with intelligent sync, you reduce risk, control costs, and deliver better products, faster. 

How Our Managed Integration Services Help

Implementing and maintaining integration between IBM ELM and PTC Codebeamer can be complex—especially in regulated environments with diverse workflows, evolving compliance needs, and distributed teams. That’s why we offer a fully managed integration service, designed to remove technical barriers and ensure long-term success. From initial setup to scaling support, our team works closely with yours to ensure the integration delivers real value from day one. 

Whether you’re deploying the integration in a single project or across multiple business units, our services adapt to your pace and needs. We don’t just deploy software—we help operationalize traceability, compliance, and collaboration across your ALM ecosystem, so your teams can focus on innovation, not syncing tools. 

🔧 End-to-End Managed Services Include:

  • 🔍 Assessment & Scout Workshop 
    We start by evaluating your current ALM landscape, stakeholder roles, artifact types, and integration pain points—resulting in a gap analysis and recommended roadmap. 
  • ⚙️ Custom Configuration & Onboarding 
    We tailor the integration to match your custom artifact types, workflows, naming conventions, and access controls in both ELM and Codebeamer. 
  • 📚 Training & Change Management 
    Hands-on workshops, user guides, and knowledge transfer sessions ensure both technical and business teams can effectively use and maintain the integration. 
  • 🛠️ Support & Maintenance 
    Our team provides ongoing support with SLA-based coverage, version upgrades, hotfixes, and reconfiguration as your toolchains evolve. 
  • 📈 Scaling Services 
    Need to onboard new teams, product lines, or geographies? We help scale the integration across multiple instances, projects, and domains without disrupting ongoing work. 

 

Our goal is to deliver a seamless integration that evolves with your enterprise, keeps you compliant, and enhances engineering agility. Whether you’re modernizing your toolchain or preparing for large-scale digital transformation, our managed services make your integration strategy a success. 

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Atlassian Managed Services: Complete Guide for Teams

Atlassian Managed Services:
Complete Guide for Teams

Table of Contents

In today’s fast-paced digital work environment, development and operations teams face increasing pressure to deliver faster, with fewer errors, and at scale. As businesses grow, so does the complexity of their tooling environments. For teams using Jira, Confluence, Bitbucket, and other Atlassian products, the need for consistent performance, security, and customizability becomes essential. This is where Atlassian Managed Services come into play. 

This comprehensive guide explores what Atlassian Managed Services are, why they matter, and how they support everything from Jira Service Management and Jira Work Management, to Jira Software Project Management and advanced ITSM practices. 

What Are Atlassian Managed Services?

Definition

Atlassian Managed Services refer to the expert-led support and administration of Atlassian tools by certified partners or internal DevOps teams. These services encompass a range of offerings including tool configuration, upgrades, user support, integration management, performance tuning, and security. 

Scope of Services – Atlassian Managed Services

1. Jira Software Administration

We provide complete administrative support for Jira Software, ensuring your projects, boards, sprints, and configurations align with your business objectives. From setting up agile boards to managing custom issue types and fields, we handle every backend task so your teams can focus on delivery. 

Key capabilities:

  • Project setup (Scrum, Kanban, hybrid) 
  • Custom issue type schemes 
  • Screen and field configuration 
  • Release and version tracking 
  • Project archiving and cleanup 

2. Jira Service Management (JSM) Configuration

Our experts configure Jira Service Management to suit ITSM, HR, facilities, and customer support use cases. We implement service projects, request types, SLAs, queues, and approval workflows that enhance response times and service reliability. 

Deliverables include:

  • Portal and knowledge base setup 
  • SLA rules, escalation policies 
  • ITIL process alignment (Incident, Change, Problem) 
  • Request type customization 
  • Automation of ticket routing and prioritization 

3. Workflow Automation and Customization

We design and automate workflows tailored to your business logic using Jira’s native automation rules or tools like ScriptRunner and Automation for Jira. Our approach helps reduce manual tasks and ensures consistent process execution. 

Services include:

  • State transition customization 
  • Auto-assignments and notifications 
  • Multi-step approvals and conditional logic 
  • Post-functions and validators 
  • Custom triggers and webhooks 

4. User and Permission Management

Ensure the right access for the right users with our role-based permission configurations. We manage user provisioning, group policies, and access controls across projects and tools. 

What we handle:

  • User onboarding/offboarding 
  • Role mapping and group configurations 
  • Global vs project-level permissions 
  • Admin permissions audit and cleanup 

5. Security & Compliance Management

We align your Atlassian environment with security standards and compliance requirements (ISO 27001, GDPR, HIPAA, etc.) to mitigate risks and protect sensitive data. 

Key areas covered:

  • Data access control policies 
  • Audit trail setup and logging 
  • Encryption and authentication enforcement 
  • Role-based security policies 
  • Compliance reporting 

6. Performance Optimization

We monitor and fine-tune your Jira and Confluence instances to ensure fast load times, minimal downtime, and scalable configurations — especially for growing teams. 

Performance services include:

  • Index health checks and reindexing 
  • Custom field and scheme optimization 
  • Cleanup of unused workflows, filters, and dashboards 
  • Archiving old projects and tickets 
  • Database and application tuning (for Data Center) 

7. Marketplace App Integration

We help you select, install, and configure trusted apps from the Atlassian Marketplace to extend your instance’s capabilities, while ensuring compatibility and performance. 

Typical integrations:

  • ScriptRunner, Insight/Assets, Xray, BigPicture, Tempo, Automation 
  • App risk analysis and usage tracking 
  • Licensing support and renewals 
  • Custom integration via APIs/webhooks 

8. Reporting & Dashboards

We build custom dashboards and reports to give real-time visibility into team performance, project progress, and SLA compliance using built-in tools and third-party apps. 

We deliver:

  • Project health and sprint velocity reports 
  • SLA and customer satisfaction dashboards (JSM) 
  • Agile burndown/burnup reports 
  • Executive and team-level dashboards 
  • Custom JQL-based filters 

9. Ongoing Support and Maintenance

We offer proactive support and long-term maintenance of your Atlassian tools, including patching, license management, user training, and continuous improvement. 

Support scope includes:

  • L1–L3 admin and functional support 
  • Backup and recovery management 
  • Upgrade planning and testing 
  • Regular health checks and usage reports 
  • User enablement sessions and documentation 

Why Choose Atlassian Managed Services?

1. Save Time and Resources

Managing complex Atlassian environments internally can drain valuable time from IT and development teams. By outsourcing to managed service providers, your team can focus on innovation, product development, and customer success, while certified experts take care of tool maintenance, upgrades, and support. 

2. Expert Support & Governance

Atlassian partners and certified administrators have deep product expertise and experience across industries. They follow proven governance frameworks to manage workflows, permissions, and compliance. This leads to more reliable tool performance, fewer incidents, and better user adoption across teams. 

3. Scalability

Whether you’re onboarding 10 users or 10,000, Atlassian Managed Services offer the flexibility and infrastructure needed to grow without performance issues or mismanagement. Managed providers ensure your Jira, Confluence, and Bitbucket instances evolve in line with your business expansion. 

4. Compliance & Security

Managed providers follow strict protocols to ensure your Atlassian environment complies with industry-specific regulations such as ISO 27001, SOC 2, HIPAA, and GDPR. They proactively manage user access, data protection, encryption, and audit trails, reducing risk and building trust with stakeholders. 

5. Cost Efficiency

Maintaining an in-house team for tool administration can be expensive, especially when spread across multiple tools and projects. Atlassian Managed Services offer predictable pricing, reduce the need for on-site expertise, and prevent costly errors from misconfigurations or downtime. The result: lower total cost of ownership and higher ROI.** 

Reduce the overhead of maintaining full-time tool admins or dealing with avoidable misconfigurations. 

Jira Management – Central to Atlassian Services

Jira Software Management

Jira Software is the backbone of agile project tracking. Through Atlassian Managed Services, teams receive hands-on support in configuring and optimizing Scrum and Kanban boards, managing backlogs, setting up sprints, and establishing best practices for Agile delivery. Service providers ensure alignment between business goals and tool usage. 

Key offerings include:

  • Custom project templates and workflows for different departments 
  • Sprint planning configuration using story points or time estimates 
  • Real-time Agile board setup with filters and swimlanes 
  • Versioning and release management for better roadmap visibility 

Jira Work Management

Jira Work Management provides a simplified interface for business teams such as HR, Marketing, and Finance. Managed Services help non-technical users set up intuitive workflows to manage tasks, approvals, and projects while maintaining compliance and visibility. 

Key capabilities include:

  • Tailored workflows for HR (onboarding), Marketing (campaign planning), and Finance (invoice approvals) 
  • Integrated approval steps and notifications 
  • Workflow automation to reduce manual follow-up and task reassignment 

Jira Service Management (Jira ITSM)

JSM is Atlassian’s ITSM solution built for DevOps speed. Managed Services ensure correct configuration of your service desks, SLAs, asset tracking, and integration with change and incident management systems. 

Core service areas:

  • Multi-channel request intake and branded help centers 
  • SLA tracking and breach notifications 
  • Queue configuration for agents by priority, type, or custom rules 
  • Asset and configuration management via Insight or Asset Management integrations 

Key Metrics to Monitor:

To ensure your Jira instances deliver value, managed service providers continuously monitor: 

  • SLA adherence rate: Tracks how well your support team meets its promises 
  • Issue resolution time: Average time to resolve tickets, critical for customer satisfaction 
  • Customer Satisfaction (CSAT): Based on feedback after issue closure 
  • Agent workload distribution: Ensures support efficiency and prevents burnout 

Key Features and Benefits of Jira ITSM

1. Unified Service Desk

Enable both internal teams and external customers to submit, track, and resolve issues through a centralized portal. With Jira ITSM, organizations can build branded help centers, use multiple request types, and connect knowledge bases to streamline ticket creation. This results in faster response times and higher customer satisfaction. 

2. Automation at Scale

Reduce manual workload by leveraging Jira’s powerful automation engine. Automate ticket categorization, assignment, escalations, notifications, and SLAs. This boosts team productivity, eliminates errors, and ensures consistent execution of IT processes. 

3. Knowledge-Centered Support

Integrate Jira Service Management with Confluence to offer a knowledge base that supports self-service. Customers can resolve common issues without agent interaction, which reduces ticket volume and improves resolution speed. Knowledge articles can be linked directly to tickets and continuously improved over time. 

4. Incident, Problem, and Change Management

Jira ITSM supports ITIL-compliant workflows for managing the entire lifecycle of incidents, problems, and changes. Teams can assess root causes, initiate structured changes, gain approvals, and coordinate releases—all while maintaining traceability and auditability. 

5. Real-Time Reporting

Use Jira’s built-in dashboards and third-party tools to visualize operational performance. Track SLA metrics, resolution trends, agent workloads, and customer satisfaction scores in real time. This helps teams monitor KPIs, identify bottlenecks, and make informed decisions for continuous improvement. 

Common Use Cases Across Teams

For IT Teams:

Atlassian Managed Services help IT teams implement robust ITSM practices using Jira Service Management. From building intuitive service desks to managing incidents and assets, teams benefit from streamlined operations, faster resolution times, and better visibility. 

  • Full ITSM implementation aligned with ITIL standards 
  • Centralized asset and configuration management 
  • Custom incident response workflows with SLA automation 

For Software Development Teams:

Development teams rely on Jira Software and Bitbucket for Agile planning, CI/CD integration, and version control. Managed Services ensure tools are optimized for collaboration, performance, and secure deployments. 

  • Integration of Jira with CI/CD tools like Jenkins, GitHub, or Bitbucket 
  • Enhanced backlog grooming and sprint structuring 
  • Custom release tracking dashboards and readiness workflows 

For Business Teams:

Departments like Marketing, Sales, and Operations use Jira Work Management for tracking campaigns, approvals, and team tasks. Managed Services help configure user-friendly workflows, automate repetitive actions, and generate real-time status updates. 

  • Visual task management and Kanban views 
  • Cross-functional project collaboration with reporting 
  • Automated notifications, escalations, and SLA reminders 

For HR/Legal/Finance:

These teams benefit from Jira’s process-driven environment to manage sensitive operations with traceability and compliance. 

  • Employee onboarding and offboarding process automation 
  • Legal contract submission, review, and approval tracking 
  • Finance request workflows with full audit trails and policy compliance 

How Managed Services Improve Jira Governance

Governance Elements:

  • Naming conventions 
  • Role-based access control 
  • Archival policies 
  • Marketplace app vetting 

Benefits:

  • Reduce instance sprawl 
  • Avoid permission errors 
  • Improve auditability and change management 

Integrations and Customizations

Typical Integrations:

  • Slack, MS Teams, Zoom 
  • GitHub, GitLab, Bitbucket 
  • Microsoft 365, Google Workspace 
  • Salesforce, Zendesk, HubSpot 

Custom Development:

  • Jira Connect apps 
  • REST API integrations 
  • Custom scripts and post functions 

Migrating to Atlassian Cloud – The Managed Way

Steps Involved:

Assessment & Planning

A thorough assessment of your existing Atlassian environment, including custom configurations, third-party apps, data volumes, and user base. A detailed migration plan is created, outlining risks, timelines, and stakeholders.

Clean-up & Standardization

Legacy data and unused projects, workflows, and custom fields are reviewed and cleaned up. Naming conventions and scheme standards are applied to ensure a clean migration footprint.

App and Data Migration

Core Jira, Confluence, and Bitbucket data, as well as Marketplace apps, are migrated to the Cloud. App compatibility is verified, and data integrity checks are conducted before and after migration.

User Training & Change Management

End-users, admins, and stakeholders are onboarded with role-specific training. Communication plans and feedback loops are implemented to ensure adoption and minimize resistance.

Post-Migration Optimization

Performance tuning, permission reviews, and app configurations are completed. Dashboards and reports are rebuilt for the Cloud environment, and ongoing support is initiated.

Benefits of Cloud Migration:

Lower Infrastructure Costs

Eliminate the need for on-premise servers, storage, and maintenance. Atlassian Cloud offers predictable pricing and no hidden IT costs.

High Availability and Performance

Atlassian Cloud provides built-in redundancy, fast load times, and global content delivery to keep your teams productive.

Auto-scaling and Built-in Security

The Cloud platform auto-scales to handle user load and includes enterprise-grade security, compliance certifications, and 99.9% uptime SLAs.

Choosing the Right Managed Service Partner

What to Look For:

Selecting the right Atlassian Managed Services partner is critical to long-term success. Look for certified providers with a strong reputation and a deep understanding of your industry. 

  • Atlassian Solution Partner status: Verify that the partner is officially recognized by Atlassian with current certifications. 
  • Cloud/ITSM/Agile specialization: Ensure the provider has experience with your specific tooling needs—whether migrating to cloud, implementing ITSM workflows, or scaling Agile practices. 
  • Proven case studies: Request examples of similar engagements, including challenges addressed and measurable outcomes delivered. 
  • Strong SLA & support model: Look for clear service level agreements with defined response times, escalation paths, and support tiers. 

Questions to Ask:

  • What is your experience with organizations similar in size and complexity to ours? 
  • How do you approach change management, system upgrades, and minimizing disruption? 
  • Do you offer regular governance reviews and health checks for our Atlassian environment? 
  • How do you ensure ongoing alignment with compliance and security standards? 
  • Can you provide references or testimonials from clients with similar use cases? 

Choosing the right partner ensures a smooth implementation, optimized performance, and a long-term roadmap that aligns with your growth goals. 

Future-Proof Your Atlassian Ecosystem

Atlassian Managed Services are not just about outsourcing admin tasks. They’re a strategic enabler for agility, scale, and continuous improvement across your organization. From Jira Service Management to Jira Work Management and Jira Software Project Management, a managed services model ensures your tools evolve with your business. 

By partnering with the right team, you can confidently adopt best practices, streamline operations, and focus on what matters most—building and delivering great products and services. 

How MicroGenesis Can Help

  • Proven track record in delivering complex Atlassian implementations 
  • Certified team across Jira Software, Service Management, and Cloud Migration 
  • Industry-aligned best practices and customizable governance models 
  • Flexible engagement models for long-term support and on-demand consulting 

From initial audits and design to post-deployment optimization, MicroGenesis acts as your strategic partner in unlocking the full value of your Atlassian ecosystem. 

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PTC Codebeamer and IBM ELM Integration: A Complete Guide with Our OSLC Adapter and Services

Embedded DevOps: Streamlining Embedded Software Development with CI/CD and Automation 

Embedded DevOps:
Streamlining Embedded Software Development
with CI/CD and Automation

Table of Contents

What is Embedded DevOps?

Embedded DevOps brings DevOps principles—automation, continuous integration/deployment (CI/CD), version control, and collaboration—to embedded systems that combine hardware, firmware, and software components. It enables teams to treat embedded firmware, drivers, OS patches, and board support packages (BSP) with the same agility and reliability as cloud-native applications. 

By adopting Embedded DevOps, organizations can reduce time to market, improve traceability, and manage compliance, all while maintaining hardware-software synergy. 

Why Embedded DevOps is Different (Hardware + Software + Compliance)

Embedded DevOps introduces unique challenges and complexities that set it apart from traditional DevOps implementations. Unlike cloud-native or enterprise software, embedded systems must interact tightly with physical hardware, follow stringent compliance protocols, and handle software that’s often coupled with firmware or real-time systems. 

Here’s a deeper look into what makes Embedded DevOps different: 

1. Hardware Variation and Physical Dependencies

Unlike traditional applications that run in virtualized or containerized environments, embedded systems operate on diverse hardware platforms—ranging from custom boards and sensors to SoCs and microcontrollers. This introduces critical challenges: 

  • Device-specific testing: Each hardware variant may require its own test configuration or build environment. 
  • Simulators vs real hardware: While simulators can support early testing, real hardware is required for validation, especially for performance, power usage, and integration testing. 
  • Long hardware procurement cycles: Hardware availability and lead times can delay automation efforts and CI/CD pipeline stability. 

👉 Impact: Automation must handle hardware availability, version differences, and physical lab integration, often requiring hardware-in-the-loop (HIL) setups. 

2. Firmware and Software Coupling

Embedded software is tightly coupled with firmware, bootloaders, real-time operating systems (RTOS), and hardware abstraction layers. Any change in one component can impact multiple layers. 

  • Dependency management: Updates to firmware or hardware drivers require regression testing across the stack. 
  • Real-time constraints: Timing issues or latency changes due to DevOps automation can cause functional errors in production systems. 
  • Binary compatibility: Different compilers, toolchains, or cross-compilation settings must produce optimized code that runs reliably on constrained hardware. 

👉 Impact: Continuous integration pipelines must coordinate firmware builds, runtime validation, and dependency checks across interconnected layers. 

3. Compliance and Certification Requirements

Many embedded applications serve industries with strict safety, quality, and traceability requirements: 

  • Automotive – ISO 26262 (Functional Safety) 
  • Medical – IEC 62304, ISO 13485 
  • Aerospace/Avionics – DO-178C, ARP4754 
  • Industrial automation – IEC 61508 

These standards require rigorous documentation, process traceability, and evidence of systematic testing. 

  • Every commit must be traceable to a requirement or change request. 
  • Testing artifacts must be version-controlled and linked to the release lifecycle. 
  • Audit readiness must be maintained for external assessments or regulatory inspections. 

👉 Impact: DevOps processes in embedded must include automated test evidence generation, change impact analysis, traceability matrices, and compliance audit support tools. 

4. Toolchain and Environment Complexity

The toolchains for embedded software are often heterogeneous and customized: 

  • Cross-compilation is the norm, requiring compilers for specific chip architectures. 
  • Flashing firmware or performing over-the-air (OTA) updates adds physical interaction to the deployment pipeline. 
  • Hardware-in-the-loop (HIL) testing involves running automated tests against real hardware in controlled conditions. 
  • Version drift among IDEs, SDKs, and debugging tools can break pipeline reliability. 

👉 Impact: DevOps pipelines must manage multiple SDKs, chip toolchains, emulator configurations, and test runners—often without standardization across teams. 

5. Hybrid Nature of Embedded Systems (Hardware + Software)

Embedded systems live at the intersection of software and physical behavior. This dual nature means: 

  • Bugs may originate in mechanical, electronic, or software domains. 
  • Test results may vary depending on environmental conditions (e.g., temperature, voltage fluctuations). 
  • Monitoring and observability are more difficult than with cloud-native apps, due to limited logging/storage capabilities on devices. 

👉 Impact: Embedded DevOps needs better observability, robust rollback mechanisms, and cross-disciplinary collaboration between hardware and software engineers. 

The Embedded Software Lifecycle and DevOps Automation

Embedded software development follows a more hardware-bound and regulated path compared to standard software lifecycles. However, integrating DevOps principles into this lifecycle enables faster delivery, fewer errors, and traceable compliance—while also improving quality and reliability. 

Let’s explore how the embedded software lifecycle looks when DevOps is embedded into each phase: 

1. Requirements Control & Traceability

In regulated industries like automotive, medtech, and avionics, requirements management is critical. 

  • Use version-controlled tools (e.g., Polarion, Jama, DOORS) to maintain requirements. 
  • Link each requirement to specific commits, features, or test cases in your code repository. 
  • Automate traceability reports that show how every requirement is implemented and verified. 

DevOps Value: Full traceability ensures you can pass audits, reduce human error, and align development with safety or performance goals. 

2. Code Integration for Embedded Firmware

Embedded code typically includes a mix of: 

  • C/C++ for firmware 
  • RTOS configurations 
  • Hardware Abstraction Layers (HALs) 

Use Git-based workflows with: 

  • Feature branching 
  • Pull/merge requests 
  • Peer code reviews 
  • Static analysis integration (e.g., MISRA compliance checks) 

DevOps Value: Ensures clean, secure, and standard-compliant codebases with collaborative development practices. 

3. Automated Builds and Cross-Compilation

Each change to the codebase can trigger automated builds for various hardware targets: 

  • Use build automation tools like CMake, Yocto, or Bazel 
  • Trigger CI pipelines (e.g., Jenkins, GitLab CI) on code commits 
  • Cross-compile for different microcontroller architectures (ARM, RISC-V, etc.) 
  • Include compiler warnings, memory maps, and build logs as pipeline artifacts 

DevOps Value: Removes manual build steps, ensures repeatability, and speeds up feedback cycles. 

4. Firmware Packaging and Versioning

After a successful build: 

  • Package firmware into formats like .bin, .hex, or OTA update files 
  • Embed metadata such as firmware version, hardware target, build timestamp, and checksums 
  • Store versioned artifacts in an artifact repository (e.g., Artifactory, S3, Nexus) 

DevOps Value: Ensures reliable, traceable, and secure firmware distribution ready for deployment. 

5. Automated Flashing on Devices or Simulators

Rather than manually flashing boards: 

  • Use test rigs with USB/serial/JTAG interfaces to deploy firmware automatically 
  • Integrate with simulators/emulators for rapid firmware validation 
  • Automate flashing as part of the CI/CD pipeline 

DevOps Value: Speeds up deployment across hardware and removes manual intervention, reducing the risk of bricking devices. 

6. Automated Testing: Unit to HIL

Testing in embedded systems must span multiple layers: 

  • Unit Testing: Verify isolated functions using frameworks like Ceedling or Unity 
  • Integration Testing: Ensure drivers, OS, and application layers work together 
  • HIL Testing: Execute tests on real hardware with sensor simulation or inputs 
  • Regression & Stress Testing: Confirm changes don’t break functionality or performance 
  • Code Coverage: Ensure all branches, functions, and safety-critical paths are tested 

DevOps Value: Builds a culture of continuous quality, catching bugs early and validating hardware-software interactions. 

7. Release Tagging and Documentation

Before deployment: 

  • Apply Git tags for release versions (e.g., v1.2.3) 
  • Record metadata like build ID, board type, test coverage, release notes 
  • Include change logs and test results for audit and rollback 

DevOps Value: Maintains a clean release history and enables rollback or comparison across firmware versions. 

8. Monitoring, Telemetry & OTA Updates

Once deployed to field devices, collect real-world insights: 

  • Log runtime errors, crashes, CPU/memory usage 
  • Use lightweight agents or telemetry modules to send diagnostic data 
  • Push over-the-air (OTA) updates securely 
  • Feed collected data back into CI pipelines for regression analysis 

DevOps Value: Closes the loop by enabling live updates, real-time monitoring, and continuous improvement. 

CI/CD for Embedded Systems: Patterns and Pipelines

Continuous Integration and Continuous Delivery (CI/CD) is a cornerstone of modern software delivery. However, applying CI/CD in embedded systems presents unique challenges due to the presence of hardware dependencies, real-time constraints, compliance requirements, and specialized toolchains. Despite this complexity, embedded teams can—and should—adopt DevOps practices through carefully designed CI/CD patterns and automation pipelines. 

Let’s explore the core patterns, common tools, and a representative pipeline flow for embedded CI/CD. 

Core CI/CD Patterns for Embedded Systems

Embedded CI/CD must adapt to the realities of building, testing, and releasing code that runs on physical hardware. The following patterns are commonly used to make pipelines both scalable and production-grade: 

1. Feature Branch CI

  • What it is: Every developer feature branch triggers an independent CI pipeline on commit or push. 
  • Purpose: Provides early feedback on integration, build errors, and unit tests—without affecting the mainline. 
  • Implementation: Trigger builds and run unit tests (in emulators or containers) per branch. Optionally test on low-cost dev boards or simulators. 

Benefits: Reduces integration risks, keeps master/stable branches clean. 

2. Merge Request Gating

  • What it is: Before merging to main (or release) branch, the CI pipeline must pass all defined checks. 
  • Checks may include: 
  • Compilation for multiple boards 
  • Static code analysis (e.g., MISRA) 
  • Unit & regression tests 
  • Firmware footprint checks 

Benefits: Guarantees code quality before merging and ensures zero-regression on protected branches. 

3. Nightly Full Builds

  • What it is: A scheduled pipeline (usually run at night) that builds for all supported hardware variants, executes extended test suites, and runs stress or long-duration tests. 
  • Often includes: 
  • HIL tests 
  • Power consumption benchmarks 
  • Long-duration memory leak tests 

Benefits: Provides broad validation across multiple configurations with minimal developer disruption

4. Hardware-in-the-Loop (HIL) Pipelines

  • What it is: Test benches or device farms are used to flash and run firmware on real hardware during CI. 
  • Hardware test benches may include: 
  • Real sensors and actuators 
  • Automated test harnesses (robot arms, dials, etc.) 
  • Oscilloscopes or power monitors 

Benefits: Enables real-world testing and validation of timing, interrupts, I/O behavior, and performance metrics—something simulators can’t fully mimic. 

Common Tools and Orchestrators

Setting up CI/CD for embedded systems requires a blend of traditional DevOps tools and hardware-specific infrastructure: 

Tip: For hardware access, use autoscaling runner pools, USB relay boards, or cloud-connected test benches to scale physical testing on demand. 

Example Embedded CI/CD Pipeline Stages

Here’s how a realistic embedded CI/CD pipeline might be structured, from code to deployment: 

1. Checkout Source Code

  • Pull code from Git repository (feature branch or MR) 
  • Pull linked requirements metadata if integrated with ALM tools 

2. Compile and Cross-Build

  • Trigger cross-compilation for target boards (e.g., STM32, NXP, ESP32) 
  • Generate .hex, .elf, .bin artifacts 
  • Output map files, memory usage, and warnings 

3. Static Analysis and Linting

  • Run MISRA compliance checks, linting, and code quality tools 
  • Generate reports and fail builds on severity thresholds 

4. Unit Testing (on Emulator or Simulator)

  • Run fast unit tests using Ceedling, Unity, etc. 
  • Optional memory leak and boundary condition tests 
  • Coverage reports using gcov/lcov 

5. Flashing Firmware to Target Hardware

Automatically flash devices using:

  • USB/JTAG interfaces 
  • Test boards connected to CI runners 
  • Remote device pools (with provisioning APIs) 

6. Integration and HIL Testing

  • Run tests involving actual I/O 
  • Simulate sensor input using programmable inputs 
  • Monitor outputs via relays, GPIO readers, or CAN sniffers 
  • Log power usage, error states, boot times 

7. Firmware Packaging and OTA Preparation

  • Package verified builds with version numbers and signatures 
  • Bundle with OTA metadata and changelogs 
  • Push to artifact repo or update server 

8. Archive Artifacts and Logs

  • Store firmware binaries, logs, test results, and reports 
  • Generate HTML dashboards for visibility 
  • Optionally push to QA or staging environments 

9. Deployment or Release Trigger

  • Auto-deploy to staging or test environment 
  • Notify QA or Release team with reports 
  • Manual gates or approvals (especially in regulated sectors) 

Sample Pipeline Flow Diagram (Textual Format)

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CopyEdit 

[ Git Commit / MR ] 
        ↓ 
[ Checkout ] 
        ↓ 
[ Cross-Compile Firmware ] 
        ↓ 
[ Static Analysis + Unit Tests ] 
        ↓ 
[ Flash to Hardware Bench ] 
        ↓ 
[ Integration + HIL Tests ] 
        ↓ 
[ Firmware Packaging (OTA, .hex, etc.) ] 
        ↓ 
[ Archive Logs + Coverage + Artifacts ] 
        ↓ 
[ Notify / Deploy / Release Tag ] 
 

Each stage has built-in retry, logging, and optional rollback triggers in case of failures. 

Integrating Testing in Embedded DevOps 

Strict testing integration is essential for embedded development maturity: 

  • Unit Testing: Use hosted or emulated environments (gtest, Ceedling) to validate logic. 
  • Integration Tests: Validate driver interactions, board bring-up, and peripheral communication. 
  • Hardware-in-the-Loop (HIL): Use test rigs to simulate environmental variables and edge conditions. 
  • Performance and Stress Tests: Ensure response latency, thread utilization, and watchdog response. 
  • Safety and Compliance Tests: Execute coverage metrics, fault injection, trace logs linking to requirements. 

In this model, every test result becomes part of your ALM traceability—essential in audit-heavy industries. 

Case Studies in Automotive Embedded DevOps

Case Study #1: EV Powertrain Control Firmware

  • Challenge: Multiple firmware variants and hardware revisions needing different configurations. 
  • Solution: Implemented variant-aware CI pipeline that builds and tests across all configurations each commit. 
  • Outcome: Reduced release cycle from six weeks to under one week; improved code coverage by 40%. 

Case Study #2: Infotainment System in Global OEM

  • Challenge: OTA firmware updates must meet ISO 26262 safety requirements and pass in-field validation. 
  • Solution: Built event-driven CI pipelines that package and simulate OTA install, perform regression tests, and generate compliance reports. 
  • Outcome: Audit readiness improved; field failure rates dropped by 50%. 

Tools & Technologies for Embedded DevOps

Suggested Tool Stack

Benefits of Embedded DevOps for
Automotive and Embedded Industries

Implementing Embedded DevOps practices brings measurable value across engineering productivity, software reliability, compliance readiness, and operational efficiency. The benefits are especially significant in high-stakes industries like automotive, aerospace, industrial automation, and MedTech, where quality, traceability, and agility are critical. 

 

1. 🚀 Accelerated Time-to-Market

Embedded DevOps automates the traditionally slow and manual build-test-deploy cycle. With CI/CD pipelines in place: 

  • Developers receive instant feedback on their commits. 
  • Automated test benches validate firmware on real hardware within hours—not weeks. 
  • Release cycles shrink from months to days, enabling faster iterations, shorter feedback loops, and quicker product launches. 

This is especially vital for competitive sectors like automotive and IoT, where time-to-market directly impacts revenue and market share. 

2. 🛠 Improved Quality & Reliability

DevOps pipelines reduce defects and enhance robustness by integrating continuous testing at every level: 

  • Unit testing ensures function-level correctness. 
  • Integration testing validates interactions between modules and middleware. 
  • Hardware-in-the-loop (HIL) testing verifies real-world behavior. 

The result is a proactive approach to quality, where issues are caught early, long before they reach the field—leading to lower warranty claims, fewer OTA recalls, and improved brand trust. 

3. 🔒 Better Compliance & Traceability

Embedded industries face strict compliance mandates such as: 

  • ISO 26262 for automotive safety 
  • DO-178C for avionics 
  • IEC 62304 for medical software 

With Embedded DevOps: 

  • Each test, build, and deploy action is logged and traceable. 
  • Requirement-to-code traceability is built into version control and pipeline tooling. 
  • Audit artifacts are automatically generated and stored. 

This reduces the overhead of manual documentation, speeds up audit readiness, and ensures regulatory alignment throughout the software lifecycle. 

4. 🔄 Agile Response to Change

Legacy embedded workflows often require weeks or months to validate and roll out even minor updates. 

With DevOps automation, however: 

  • A new OTA firmware update can be built, tested, and pushed in a day or two. 
  • Multi-variant support allows changes to be applied across product lines simultaneously. 
  • Changes—whether a security patch, bug fix, or new feature—are tested across hardware targets and pushed with confidence. 

This agility is essential for modern connected vehicles and IoT products, where firmware updates happen continuously in response to user feedback, security issues, or ecosystem changes. 

5. 🤝 Enhanced Cross-Team Collaboration

Embedded DevOps bridges the gap between: 

  • Firmware engineers 
  • Hardware teams 
  • Quality Assurance 
  • Security 
  • Operations 

By breaking down silos and introducing shared ownership of quality, it reduces communication breakdowns and enables faster decision-making. 

CI/CD pipelines act as a single source of truth, where test results, build artifacts, and release notes are visible to everyone in real time. 

6. 📈 Resource Optimization

Traditional embedded testing often requires dedicated labs, manual setups, and long testing windows. 

DevOps changes this by: 

  • Reusing automated test benches across teams and projects 
  • Scaling tests using remote HIL farms and cloud-controlled devices 
  • Replacing manual processes with scripted test harnesses and headless CI agents 

This significantly reduces cost per test, improves lab efficiency, and allows for parallel testing across product variants. 

📊 Bonus: Data-Driven Engineering

With modern DevOps dashboards and analytics, teams gain visibility into: 

  • Test coverage 
  • Build success rates 
  • Failure trends 
  • Deployment frequency 

These insights allow for continuous improvement, better risk prediction, and smarter roadmap planning—transforming DevOps from an operational tool into a strategic enabler. 

🛠 How to Get Started with Embedded DevOps

Adopting Embedded DevOps doesn’t have to be a massive overhaul. A phased approach ensures that you gain value early while scaling sustainably. 

Here’s how to begin: 

Step 1: 🔍 Assessment Workshop

Begin by auditing your current state: 

  • How are builds managed today? 
  • What hardware variants need support? 
  • What testing (unit, integration, HIL) is in place? 
  • Are there compliance checkpoints? 

This discovery phase helps define the roadmap for introducing DevOps practices tailored to your specific context. 

Step 2: 🚧 Pilot Pipeline Setup

Select a representative firmware module and one hardware target. 

Implement: 

  • Git-based version control 
  • Cross-compilation and static analysis 
  • Automated build and unit testing 
  • Artifact packaging (.bin, .hex) 

This pilot creates the first iteration of a CI/CD pipeline, establishing the structure and tooling baseline for future scaling. 

Step 3: 🧪 Extend to Multi-Variant Testing

Scale the pilot pipeline to: 

  • Support multiple boards or microcontroller families 
  • Add HIL testing using test benches or device farms 
  • Run full integration and system-level test suites 

Build matrices allow you to test multiple variants in parallel—crucial for automotive platforms that support dozens of configurations. 

Step 4: 🧾 Integrate Compliance & Traceability

Integrate your pipelines with Application Lifecycle Management (ALM) and Requirement Management Tools (e.g., Polarion, Jama, Codebeamer): 

  • Link commits to requirements 
  • Automate audit log generation 
  • Store and export test evidence for ISO/FDA/DO-178 audits 

Traceability becomes baked-in, not bolted on. 

Step 5: 📦 Scale Deployment & OTA Readiness

Introduce advanced DevOps features like: 

  • Multi-device flashing 
  • Rollback automation 
  • Secure OTA packaging and signing 
  • Deploy-to-field simulations 

You’ll now be equipped to handle frequent, secure updates, and scale your deployment pipeline with confidence. 

Step 6: 📈 Implement Feedback Loops & Dashboards

Measure success by introducing analytics and reporting: 

  • CI health dashboards 
  • Test pass/fail trends 
  • Deployment metrics 
  • Coverage and risk maps 

These allow stakeholders to monitor DevOps maturity and identify improvement opportunities. 

🤝 Why Choose Our Managed Embedded DevOps Services?

We offer a turnkey embedded DevOps capability, designed for automotive and regulated industries, with proven experience across firmware, testing, compliance, and cloud automation. 

Here’s what makes us different:

Custom CI/CD for Embedded

  • Design pipelines that support multiple targets, test levels, and compliance requirements. 
  • Integrate your existing toolchain with modern DevOps tooling. 

Built-In Traceability

  • Connect your pipeline to requirements, risk management tools, and testing evidence. 
  • Simplify audit preparation with automated document generation. 

HIL Automation & Test Bench Integration

  • Automate HIL test benches with programmable test inputs. 
  • Support device farms for parallel testing across real hardware. 

Regulatory & Regional Readiness

  • Meet European regulatory standards: ISO 26262, GDPR, MDR, DO-178. 
  • EU-based delivery, data sovereignty, and green compliance support. 

Ready to Modernize Your Embedded Development?

Whether you’re just starting or looking to scale your DevOps efforts, our team of Embedded DevOps experts is here to help. 

🔹 Book a Strategy Session 
We’ll assess your current workflows and recommend a tailored roadmap. 

🔹 Launch a Pilot Pipeline 
See results fast—improve build quality, automate testing, and start shipping updates faster. 

🔹 Scale with Confidence 
Get end-to-end lifecycle automation that drives quality, agility, and compliance. 

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Let’s bring modern DevOps to your embedded development.

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