Run, Support, and Evolve — Not Just "Keep the Lights On"
- Ensure the availability, performance, and security of your systems
- Provide a structured process for incident, problem, and change management
- Deliver enhancements and optimizations, not just bug fixes
- Monitor and tune your cloud, data, and AI workloads over time
- Partner with you on roadmap evolution, not just ticket resolution
What We Can Manage for You
Applications & Platforms
- Custom applications built by Datasoft or other teams
- Portals, internal tools, and integration services
- SaaS or packaged solutions, where you need extended support and customization
Cloud & DevOps Environments
- Cloud infrastructure, Kubernetes clusters, and environments
- CI/CD pipelines, build systems, and deployment automation
- Observability stacks (logging, monitoring, alerting)
Data & Analytics Platforms
- Data warehouses, data lakes, and lakehouses
- ETL/ELT pipelines and orchestration frameworks
- BI dashboards and reporting environments
AI & RAG Solutions
- AI-powered applications, copilots, and assistants
- RAG pipelines, vector databases, and embeddings infrastructure
- AI model and prompt configs in production
We remain involved as a partner, not just a placement agency.
What Our Managed Services Include
We provide day-to-day support for your applications:
Examples:
- Level 2 / Level 3 support for incidents and service requests
- Bug fixes and small enhancements
- Release planning and coordination with your stakeholders
- Knowledge management and documentation for continuity
We follow defined SLAs and communication patterns so you know what to expect.
We operate and optimize your cloud and infrastructure:
- Monitoring of uptime, capacity, and performance
- Scaling policies, patching, and configuration management
- Backup, recovery, and basic continuity planning
- Cost management and optimization recommendations
We ensure data is flowing correctly and reliably:
- Monitoring of ETL/ELT jobs and data refresh schedules
- Handling failed loads and data quality issues
- Coordination with source system owners
- Performance tuning and optimization of key queries and models
For AI solutions, we provide operational oversight:
- Monitoring model/API usage, latency, and error rates
- Oversight of RAG retrieval quality and vector store health
- Managing configuration changes to prompts, parameters, and guardrails
- Coordinating retraining or model updates with your AI strategy
For deeper MLOps requirements, this ties directly into a dedicated MLOps & AI Operations offering under AI Services.
Within your security framework, we help:
- Apply security patches and configuration updates
- Support access control management in line with your IAM policies
- Provide logs and reports to your security and compliance teams
- Adopt and maintain controls defined in your Responsible AI & Governance and IT policies
Security is always done in alignment with your internal teams and standards.
Managed Services is not just reactive:
- Regular service reviews and improvement plans
- Performance and usability enhancements
- Technical debt and refactoring recommendations
- Support for incremental roadmap items that keep systems evolving
How We Structure Managed Services Engagements
- Scope: Specific apps, integrations, or platforms
- SLAs for availability, incident response, and changes
- Monthly reporting and regular governance meetings
- Scope: A domain like "Customer Platforms", "Data & Analytics", or "AI Solutions."
- Shared capacity across multiple systems in that domain
- Prioritization framework for how effort is allocated
- Ongoing support for existing systems
- Parallel delivery of enhancements and new features as mini-projects
- Smooth transition from project go-live into steady-state support
How We Manage Quality and Accountability
We use standard service management practices, adapted to your environment:
- Incident, problem, and change management
- Request fulfillment and enhancement workflows
- Regular service review meetings
- SLA / KPI reporting (uptime, response times, backlog, trends)
- Root-cause analysis for major incidents
- Defined communication channels and escalation paths
- Clear division of responsibilities between Datasoft and your teams
Sample Managed Services Engagements
Managed Support for a Customer Portal
A company runs a customer-facing portal that must always be available and secure.
Datasoft provides application support, cloud management, monitoring, and regular enhancements, operating
under SLAs and working closely with business owners.
Data Platform & BI Managed Services
An organization relies on daily refreshed dashboards for operations and leadership.
Datasoft monitors pipelines, resolves load issues, manages data quality problems, and supports BI enhancements,
ensuring data is consistently available and trusted.
AI Assistant & RAG Operations
A client deploys an internal RAG-based knowledge assistant.
Datasoft monitors usage, performance, and retrieval quality, manages content ingestion and vector indexes, and
coordinates model or configuration updates, ensuring the assistant remains accurate and safe over time.
Cloud & DevOps Managed Services
A product team wants to focus on features and needs help managing environments.
Datasoft manages cloud infrastructure, CI/CD pipelines, and observability, reduces outages, and supports the
team's release cadence.
The "Run" Layer for Your Build & Transform Initiatives
- [Software Development] – We can take over support and operations for applications after the initial build.
- [Software Quality & Testing] – QA practices carry into production, with ongoing validation and regression testing.
- [Cloud & DevOps] – Our managed services team uses the cloud and DevOps foundations we help you build.
- [Data & Analytics] – The data platforms and dashboards we implement can be managed and enhanced in the long term.
- [AI Development & Integration] & [AI Data, RAG & Vector Search] – We keep AI solutions and RAG pipelines healthy and up to date.
- [Responsible AI & Governance] – Operational practices align with your governance and oversight frameworks.
Why Trust Datasoft to Run Your Platforms?
Build + Run Expertise
We manage systems we understand deeply — often because we helped design and build them.
AI-, Data-, and Cloud-Aware Operations
Our teams are comfortable operating modern stacks that include microservices, data platforms, RAG pipelines, and AI services.
Global Delivery Model
US-based leadership with an offshore development center in India provides continuity, coverage, and cost-effective support.
Structured Yet Flexible
Service management discipline with the ability to adapt to your tools, processes, and culture.
Focus on Improvement, Not Just Maintenance
We look for ways to enhance and optimize, not just keep things static.
