Cloud & infrastructure

Strong foundations.
Room to grow.

Cloud engineering for production systems, AI workloads and digital products. Connect reliability, observability, security and cost-aware operations.

See the whole system.

Scalable cloud foundations for AI workloads, geospatial search, event analytics, secure APIs, notification systems, data pipelines, media processing, and operational monitoring.

Infrastructure decisions affect response time, operational complexity, recovery and the cost of serving each customer. A useful architecture makes those trade-offs visible.

Consulting conversations can cover migration planning, workload reviews, deployment pipelines, database architecture, inference hosting, media processing and the telemetry needed to operate them.

DELIVERWeb · Mobile · APIs · CDN
PROCESSEvents · AI inference · Search
STORE & OBSERVEData · Logs · Metrics · Recovery
Compute and API servicesManaged PostgreSQL and data storesObject storage and CDNEmail and notification deliveryAI/ML model hosting and inferenceSearch and geospatial indexingEvent streaming and analyticsMonitoring, logging, and alertingSecurity, IAM, and compliance controlsMobile backend for Android and iOS

Cloud cost optimization

Make efficiency
an engineering habit.

Link cloud spend to the workload it supports, then verify each improvement against reliability and performance.

Understand utilization

Start with resource ownership, allocation and a representative demand baseline. Investigate idle capacity, overprovisioning, retention and data-transfer patterns.

Validate the change

Use workload tests, latency and error budgets to assess right-sizing, scheduling, storage lifecycle policies and architecture changes.

Forecasting in practice Observed Forecast
100755025159Observation period
Illustrative data, normalized index. The shaded band demonstrates uncertainty; this is not a client result.
View the example data
Sample workload index
Period123456789
Index35504465587873*86*81*

*Illustrative forecast.

Migration discipline

Plan the move.
Prove the recovery.

Prior experience includes enterprise and government migrations. Every new migration needs its own dependency map, rehearsal, acceptance criteria and recovery plan.

  1. 01

    Understand

    Define the problem, constraints, data and success criteria.

  2. 02

    Architect

    Map systems, access boundaries, risks and the delivery plan.

  3. 03

    Build & evaluate

    Implement a focused solution and test it against real needs.

  4. 04

    Launch & improve

    Validate the release, observe behaviour and iterate.

Our team brings experience from prior engagements. Specific client names, environments and measured outcomes are shared only when approved for disclosure.

AWS Well-Architected

Architecture reviews across operational excellence, security, reliability, performance efficiency, cost optimization and sustainability.

Explore the framework

NIST CSF 2.0

A shared language for governance and cyber risk: Govern, Identify, Protect, Detect, Respond and Recover.

Explore the framework

Evidence-led delivery

Connect each requirement to a control, test, owner and reviewable evidence. Make exceptions explicit and track remediation.

Our security approach

Reference frameworks inform the approach; they do not imply certification or third-party endorsement.

A good conversation is a good beginning

What could we
build together?

Bring a problem, a product idea, or a system that needs to work better. Connect with the Veda Intelligence team. Rudra Veda, our Founder and Creator of NearPados, is your primary point of contact.

For product, partnership, startup program, cloud infrastructure, or business enquiries, connect with Veda Intelligence™ through the public meeting link.