Infrastructure, Automation, and Operations That Enable Delivery
- Design cloud architectures that are secure, scalable, and compliant
- Implement CI/CD pipelines so teams can ship changes frequently and safely
- Automate infrastructure and environment provisioning
- Set up monitoring, logging, and incident management for production readiness
- Prepare your platform to support AI services, data pipelines, and modern applications
What We Offer Under Cloud & DevOps
We help you move from on-premise or legacy hosting to cloud-native environments:
Examples:
- Cloud readiness assessments and migration planning
- Target architecture design (IaaS, PaaS, containers, serverless as appropriate)
- Re-host, re-platform, or re-architect strategies depending on your goals
- Network, security, and identity design aligned with your policies
Outcome: A clear migration roadmap and cloud architecture that supports both current applications and future AI/data workloads.
Manual environment setup is slow and error-prone. We implement:
- Infrastructure as Code (IaC) for repeatable provisioning (e.g., Terraform, ARM/Bicep, CloudFormation)
- Automated creation of dev, test, staging, and production environments
- Configuration management and parameterization for different regions or tenants
- Governance around templates and standards to maintain consistency
We design and build CI/CD pipelines that fit your stack and release cadence:
- Automated builds, tests, and deployments for applications and services
- Integration of unit, integration, and UI tests into the pipeline
- Blue-green, canary, or rolling deployment strategies where needed
- Approval workflows and quality gates for controlled releases
Result: faster, safer releases with clear visibility into what is running where.
For modern, scalable applications, we help you adopt containers and orchestration platforms:
- Containerization of existing applications (where it makes sense)
- Kubernetes or other orchestration setup and configuration
- Service discovery, config management, and secret management
- Best practices for resilience, scaling, and resource management
This is particularly useful for microservices, APIs, and AI workloads that benefit from elasticity.
Running in the cloud without proper observability is risky. We implement:
- Application and infrastructure monitoring
- Centralized logging and log correlation
- Dashboards for performance, uptime, and error rates
- Alerting and incident workflows integrated with your support processes
This enables proactive operations and faster incident resolution.
While we are not a pure security firm, we embed strong security practices into our designs:
- Network segmentation, firewalls, and secure connectivity
- Identity and access management, including role-based access controls
- Encryption at rest and in transit for sensitive data
- Policies for secrets management and key rotation
- lignment with your compliance requirements and security team standards
Security is treated as an essential design constraint, not a post-go-live patch.
Ready for AI, Data, and High-Compute Workloads
- Environments for model hosting, RAG services, and AI agents
- Infrastructure for data pipelines, vector databases, and analytics platforms
- Cost monitoring and optimization for compute- and storage-intensive workloads
- Separation of environments and data domains to respect governance and compliance
Engagement Models for Cloud & DevOps
Assessment & Roadmap
- Short engagement to review current environments and practices
- Identify gaps and risks in reliability, security, automation, and cost
- Provide a prioritized roadmap for improvements or cloud migration
Implementation Projects
- Design and build new cloud environments
- Implement CI/CD and IaC for specific applications or platforms
- Implement CI/CD and IaC for specific applications or platforms
Ongoing DevOps & Cloud Operations
- DevOps engineers supporting your teams as an extension of your staff
- Cloud operations and environment management under an SLA
- Continuous optimization of cost, performance, and reliability
We can work directly with your engineering, platform, and security teams or provide a more managed service model, depending on your needs.
Sample Cloud & DevOps Engagements
A client runs a critical on-prem application and wants to migrate to the cloud without disruption.
Datasoft designs a target architecture, migrates the application, sets up CI/CD, and establishes monitoring,
improving scalability and reducing manual operations.
A product team deploys manually with inconsistent environments and frequent release issues.
Datasoft implements automated builds, tests, and deployments with environment automation, reducing release
time and production incidents.
A company is moving from a monolithic app to microservices.
Datasoft helps containerize services, sets up Kubernetes, and configures observability, enabling more independent
deployments and better resilience.
An organization wants a secure, scalable environment for AI pilots and data analytics.
Datasoft designs a cloud platform with data storage, vector search, compute resources for models, and cost
controls, serving as the foundation for multiple AI initiatives.
The Foundation for Software, Data, and AI
- [Software Development] – Provides the environments, pipelines, and operations model for applications we build.
- [Software Quality & Testing] – Integrates automated tests into CI/CD and uses monitoring for production quality.
- [Data & Analytics] – Hosts data warehouses, lakes, and analytics platforms with robust performance and security.
- [AI Development & Integration] – Runs AI services, RAG pipelines, and AI agents with the needed reliability and scale.
- [Managed Services] – Uses the DevOps toolchain and observability stack to support ongoing operations.
Why Partner with Datasoft?
Experience Across Cloud, Apps, and AI
We understand applications, data, and AI workloads, and design cloud platforms that support them all.
End-to-End Delivery Capability
Architecture, migration, pipelines, automation, and operations from a single partner.
Pragmatic, Business-Focused Approach
We balance modernization with cost, risk, and timelines — no "rewrite everything" by default.
Global Delivery Model
Cloud and DevOps engineers across the US and India for coverage, speed, and cost-effectiveness.
Security and Governance Mindset
Cloud designs that respect your security, compliance, and operational requirements..
