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Modern cloud, without the operational drag
Life sciences teams are moving more data and workloads to the cloud—but many programs stall after the first migrations. The gaps are usually in the “day-2” reality: security controls, performance, observability, compliance, and cost.
Circulant supports cloud programs end-to-end—planning, landing zone setup, migration execution, and managed operations—with patterns designed for regulated environments and data-heavy workloads.
Cloud Engineering Framework
End-to-end AI driven framework with advanced tools provisioning, industry best practices, methodologies designed for architecting, deploying, and efficiently managing cloud-native systems.
Highlights
- Secure-by-design foundations with clear guardrails for regulated data
- Migration playbooks for data platforms, apps, and analytics workloads
- 24x7-ready managed operations with measurable SLAs
- Deep observability for reliability, auditability, and faster resolution
- Continuous cost optimization tied to usage and business outcomes
Capabilities
We have capabilities and expertise to deliver Cloud engineering services including consulting, migration, integration, and operations with flexible commercial and global delivery models.
With advancements in AI and Machine Learning, we harness automation and best in class technology stack to deliver high performance compute environments that can handle large workloads enabling users to perform High-Performance Data Analytics (HPDA) for complex use cases.
Cloud Strategy
& Consulting
Practical cloud roadmaps grounded in your workloads, compliance needs, and operating model.
• Cloud readiness assessment and workload prioritization
• Target architecture and reference patterns
• Security, compliance, and risk planning
• Roadmap with milestones and measurable outcomes
Landing Zone &
Cloud Foundations
Set up a cloud environment that teams can safely build on - fast.
• Account/subscription structure and governance
• Identity, access controls, and secrets management
• Network design, segmentation, and connectivity
• Infrastructure-as-Code and reusable templates
Migration Services
(Apps, Data, Platforms)
Move workloads with minimal disruption - and with validation built into the plan.
• Application and data migration planning and execution
• Modernization options (rehost, replatform, refactor)
• Cutover planning and rollback readiness
• Data integrity checks and post-migration stabilization
Managed Cloud Operations
(Day-2 Services)
Operate cloud like a product—reliable, measurable, and continuously improving.
• Monitoring, patching, backups, DR, and routine ops
• Incident management, escalation, and RCA
• SRE-led reliability practices and runbooks
• SLA-based support aligned to critical workloads
Observability &
Reliability Engineering
When something breaks, you need answers fast—across infrastructure, apps, and data pipelines.
• Centralized logging, metrics, and distributed tracing
• SLO/SLA definition and alert tuning
• Reliability dashboards and service health views
• Faster triage with root-cause visibility
Security &
Compliance Enablement
Cloud controls that match regulated expectations—without blocking delivery.
• RBAC, least privilege, and policy-as-code
• Encryption, key management, and data protection patterns
• Audit trails, evidence capture, and continuous compliance
• Vulnerability management and security monitoring
Cloud Cost
Optimization (FinOps)
Reduce cloud waste and align spend with value - continuously, not once a year.
• Spend visibility, tagging strategy, and cost governance
• Rightsizing and autoscaling recommendations
• Savings plans/reservations strategy
• Chargeback/showback and cost KPIs by team/workload
Modern Data &
Analytics Platforms on Cloud
Build cloud-native platforms that scale for Life sciences data volume and complexity.
• Data lake/warehouse foundations and best practices
• Secure data sharing and domain access patterns
• Pipeline orchestration and reliability patterns
• Performance and cost tuning for analytics workloads
Why Circulants
Enabling better Digital experience with automation and best in class technologies delivering high performance compute environments.
Built for regulated
environments
We implement the controls and audit-ready practices Life sciences teams are held to.
Migration +
operations together
We don’t stop at go-live—day-2 reliability, observability, and cost management are part of the delivery.
Less noise,
faster resolution
Clean alerts, service health views, and strong runbooks reduce downtime and firefighting.
FinOps
as a discipline
Cost optimization is continuous, measurable, and tied to governance—not an occasional cleanup.
Reusable patterns,
faster delivery
Landing zone templates, IaC modules, and playbooks shorten timelines without sacrificing quality.
Use Cases
Cloud services built for Life sciences workloads
Using Automated, compliant, and efficient AIOps, we support in numerous use cases across pharma value chain including scalable data storage, cloud pipelines for ML models, managing big data analytics, threat detection, and cloud cost optimization.
Scale compute for modeling, dashboards, and large datasets
Secure environments for trial data and integrations
Shift legacy warehouses to cloud-native stacks
Reliable platforms with strong access controls and auditability
Faster data pipelines and resilient reporting workloads
Standardized cloud governance across regions and teams
Say Hello!
Ready to move faster on cloud - securely and cost-efficiently?
Share your current cloud stack and priority workloads. We’ll propose a practical approach: foundations, migration, and a day-2 operating model with clear ownership and SLAs.
Connect with our Cloud Expert