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Cloud & SRE

Cloud Architecture & DevOps Engineering

Resilient, Scalable, and Cost-Optimized Cloud Foundations

Cloud computing should accelerate your engineering velocity, not create unpredictable cloud bills and operational headaches. Tattvexa architects secure, immutable cloud foundations that scale effortlessly with traffic, deploy in minutes through automated pipelines, and keep cloud spend strictly under control.

Challenges & Friction Points

Operational Bottlenecks We Eliminate

Where fragmented processes and manual interventions actively erode operational velocity and enterprise margins.

Runaway Cloud Costs & Overprovisioned Resources

Business Impact: Monthly cloud invoices ballooning month-over-month without proportional growth in revenue or traffic.

Tattvexa Solution
FinOps cloud cost audits, rightsizing, auto-scaling groups, and architectural optimization.

Manual, Stressful Production Deployments

Business Impact: Engineering teams spending weekends on high-risk manual releases that frequently cause downtime.

Tattvexa Solution
Zero-downtime blue/green or canary CI/CD pipelines with automated rollback.

Fragile, Undocumented Cloud Infrastructure

Business Impact: Infrastructure configured manually through the cloud console, making disaster recovery and environment cloning impossible.

Tattvexa Solution
100% Infrastructure-as-Code (Terraform / OpenTofu) with modular, repeatable environments.
Core Competencies

Engineering Capabilities & Deliverables

Production-grade implementation standards designed to satisfy rigorous enterprise security, scalability, and compliance mandates.

01

Infrastructure as Code (IaC)

Codifying entire cloud topologies using Terraform or Pulumi for reproducible, version-controlled environments.

Modular Terraform architecture
Multi-environment parity (Dev/Stage/Prod)
Automated drift detection
Secrets management integration
02

Containerization & Kubernetes

Packaging applications into lightweight containers orchestrated by production-grade Kubernetes (EKS, AKS, GKE).

Docker container optimization
Helm chart package management
Cluster autoscaling & node pools
Service mesh configuration
03

Automated CI/CD Delivery Pipelines

Building bulletproof pipelines that test, build, scan, and deploy code securely in minutes.

GitHub Actions / GitLab CI
Automated security & CVE scanning
Blue/green & canary releases
Automated database migrations
04

Observability, SRE & FinOps

Deploying end-to-end monitoring, distributed tracing, alerting, and cost optimization governance.

Prometheus, Grafana & Datadog
Distributed OpenTelemetry tracing
Automated PagerDuty escalation
Cloud budget alerts & rightsizing
Architectural Blueprints

Enterprise Use Cases & Real-World Deployments

Representative system patterns illustrating how these capabilities are applied across complex operational environments.

Fintech

PCI-DSS Compliant Multi-Region AWS Architecture

Architecture:

Fully codified AWS EKS cluster with KMS envelope encryption, private subnets, and automated compliance auditing.

Measurable Result:
Passed rigorous Tier-1 financial security audits with 99.99% uptime SLA achieved.
High-Volume SaaS

Cloud Spend Optimization & Container Modernization

Architecture:

Migrated overprovisioned EC2 instances to auto-scaling spot-backed Kubernetes nodes and serverless database pooling.

Measurable Result:
Reduced monthly infrastructure spend by 52% while handling 3x traffic spikes without manual intervention.
Production Technology Stack

Technologies & Frameworks We Engineer With

AWS Microsoft Azure Google Cloud Terraform / OpenTofu Kubernetes / Docker GitHub Actions Prometheus / Grafana OpenTelemetry
Frequently Addressed Questions

Technical & Operational Clarifications

Clear, honest answers regarding data security, code ownership, integration boundaries, and implementation timelines.

Which cloud provider do you recommend: AWS, Azure, or GCP?
We remain vendor-neutral. We recommend AWS for broad ecosystem maturity and enterprise scale, Azure for organizations deeply tied to Microsoft enterprise directories and licensing, and Google Cloud for advanced data analytics, BigQuery, and AI workloads. We often architect multi-cloud and hybrid environments.
Can you help us reduce our runaway cloud bills without degrading performance?
Yes. Our FinOps engagement systematically identifies orphaned disks, overprovisioned compute instances, unoptimized database queries, and redundant network transit, typically yielding 30% to 50% immediate savings.
Enterprise Transformation Advisory

Stabilize and scale your cloud foundation

Let's conduct an architectural well-architected review and eliminate deployment bottlenecks and runaway cloud costs.

Direct Engineer & Architect Engagement Pragmatic ROI & Feasibility First Zero Vendor Lock-In