>Support & Maintenance
Technical Support & Maintenance Services
devPulse manages your support and maintenance operations, ensuring stability while your core team drives product innovation.
Faster fixes
Higher stability
Lower support costs
More time for innovation
devPulse delivers effective, results-driven application maintenance and support services built on an end-to-end ownership model. We proactively identify existing issues and potential risks, resolve them swiftly, and minimize downtime and operational costs — ensuring your systems remain stable, efficient, and ready for growth.
Our maintenance and support services allow you to offload this operational burden to a dedicated engineering team, ensuring fast issue handling and consistent product stability.
We integrate seamlessly with your existing teams and processes, adopting your tools, workflows, and quality standards so support operations run efficiently without disrupting your organization.
By transferring support and maintenance responsibilities to devPulse, you reduce the cost of support operations and free your core engineering team to focus on new feature development, innovation, and R&D — while we ensure uninterrupted system operations.
Who We Support
SaaS and Enterprise Software Platforms
We support business-critical SaaS and enterprise systems that require continuous availability, rapid issue resolution, and controlled release cycles. Our teams ensure stable operations while internal product teams focus on roadmap execution and innovation.
Typical technologies
React, Angular, Vue, Node.js, Python, Java, Go, .NET, PostgreSQL, MySQL, MongoDB, Redis, AWS, Azure, GCP
Desktop and Cross-Platform Applications
We provide engineering support for Windows, macOS, and cross-platform desktop applications, including legacy and actively developed products. This includes deep technical troubleshooting, code-level fixes, and long-term maintenance of complex desktop ecosystems.
Typical technologies
C++, C#, .NET, WPF, WinUI, Qt, Electron, native Windows & macOS APIs, installer frameworks
Data-Intensive and AI-Enabled Products
We maintain and enhance platforms that process large volumes of data or integrate AI and machine learning capabilities. Our support model ensures reliability, performance, and scalability as data loads and model complexity grow.
Typical technologies
Python, FastAPI, Flask, PyTorch, TensorFlow, data pipelines, vector databases, cloud AI services, RAG pipelines, model fine-tuning, agentic AI frameworks, LLM integrations
our case study
Enterprise Marketing Platform: L2 & L3 Engineering Support
L2–L3 technical support and continuous enhancement of a large-scale marketing platform, ensuring operational stability and freeing the core engineering team to focus on new feature development.
Key Features:
- ≥ 70% Support Load Offloaded
- +20-30% Feature Delivery Velocity
- 50% Bug Backlog Reduction
Your Business Benefits
By transferring support and maintenance of ownership to a dedicated engineering team, organizations achieve measurable operational improvements. The following outcomes demonstrate how structured support, faster issue handling, and continuous quality improvements translate into tangible business value.
Faster Incident and Defect Resolution
Production issues and customer-reported defects are addressed quickly through structured investigation and dedicated engineering ownership, reducing business disruption.
Reduced Operational Load on Core Engineering Teams
Support and maintenance responsibilities are offloaded to a dedicated team, allowing in-house engineers to focus on new features, innovation, and strategic initiatives.
Lower Total Cost of Maintenance Operations
Optimized support ownership and access to specialized talent reduce the overall cost of handling bugs, incidents, and system upkeep compared to fully in-house support.
Sustained Customer Satisfaction
Rapid issue handling and improved product quality enhance user experience, strengthen trust, and reduce customer escalations.
Long-Term Product Reliability and Scalability
Ongoing refactoring, technical debt reduction, and performance improvements ensure the platform remains robust and ready to grow with future business needs.
Levels of Technical Support
Effective software operations rely on clearly defined support levels. Each level addresses a different depth of technical complexity — from initial issue of intake to code-level resolution and architectural decisions.
Our teams primarily operate at L2–L3 engineering support levels, where most technical investigation and defect resolution occurs.
How We Work
Our support teams integrate directly into your existing engineering environment.
We adopt your tools, workflows, release cycles, and quality standards — operating as an extension of your in-house organization rather than an external vendor. Each engagement is staffed with dedicated roles designed to cover the full support lifecycle:
L2 Support Engineers
Investigate incidents, reproduce issues, analyze logs, and perform technical troubleshooting.
L3 Engineers
Implement code-level fixes, refactoring, and long-term stability improvements.
QA Engineers
Validate fixes, prevent regressions, and ensure release quality.
DevOps Engineers
Manage build, deployment, and environment stability when required.
Technical Lead
Oversees architectural alignment, code reviews, and escalation handling.
Support Coordinator
Ensures clear communication, reporting, and SLA adherence.
From onboarding to full operational ownership, we ensure transparent communication, measurable performance, and predictable delivery — while your core team retains control of product strategy and architecture.
our case study
Desktop applications portfolio: Technical Support & Maintenance
L2–L3 technical support, maintenance, and enhancement of a large-scale Windows desktop application suite, ensuring product stability while the core engineering team focuses on new feature development.
Key Features:
- ≥80% Full ownership
- Reduced by ~60% Average Fix Cost per Issue
- Critical customer issues resolved within ≤24 hours., standard defects resolved within 1 business week
Engagement Models That Fit Your Needs
Every organization has different operational demands, budgets, and internal capabilities. DevPulse offers flexible engagement models that allow you to choose the right level of support and ownership — from shared expertise to fully dedicated teams.
Dedicated Managed Team
Our Dedicated Managed Team model provides a full-time support and maintenance team focused exclusively on your products and environment. This ensures deep system knowledge, consistent quality, and long-term ownership of your maintenance and technical support operations.
Best for
Organizations requiring continuous support, full operational ownership, with internal engineering teams.
Shared Managed Team
Our Shared Managed Team model provides a cost-effective and scalable way to access engineering support without committing to a full-time dedicated team. Support resources are shared across multiple clients, giving you on-demand access to specialized skills while maintaining predictable service levels.
Best for
Organizations requiring continuous support, full operational ownership, and tight integration with internal engineering teams.
Staff Augmentation
Our Staff Augmentation model allows you to extend your in-house team with highly skilled engineers on short- or long-term engagements. Our specialists integrate directly into your workflows and processes, giving you immediate access to expertise while maintaining full internal control.
Best for
Organizations needing to scale technical capacity quickly or fill specific skill gaps.
We believe that the quality of the product is the most important thing for the customer
Let’s work together
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We partner with ambitious teams to solve complex challenges and create meaningful impact. From early ideas to full-scale delivery — we’re here to support every step.
Tell us what you’re working on, and we’ll help you define the best way forward.

Anna Tukhtarova |CTO & Co-Founder
What's next?
01 Submit the request—takes <1 minute.
02 Receive confirmation (and optional NDA) within 12 hours.
03 Meet our solution architect to discuss goals & success metrics.
Clarity starts with the right conversation
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