GCP Consulting & Architecture —
Google Cloud Architecture Advisory
for Indian Businesses

PrecisionTech provides Google Cloud Platform (GCP) consulting and architecture services for Indian enterprises, SMBs, and startups — from greenfield design to review and remediation of existing environments. Our engagements typically include:

• Architecture reviews — independent assessment of your current or planned GCP design against Google best practices and your business requirements
• Landing zone design — Organization, folders, Shared VPC, IAM, billing, logging, and security baselines ready for production workloads
• Well-Architected Framework-style assessments — structured evaluation across reliability, security, cost optimization, performance efficiency, and operational excellence
• Multi-cloud advisory — unbiased comparison against Amazon AWS and Microsoft Azure when you are choosing or rationalizing cloud strategy
• Roadmap workshops — phased 12–24 month plans with architecture diagrams, migration waves, and INR cost estimates
• ADAPT-aligned migration planning — Assess, Define, Adapt, Plan, Transform methodology integrated into architecture deliverables

Every engagement is delivered by Google Cloud Professional Cloud Architect-certified consultants. Request a free architecture assessment to get started.

A GCP architecture review is a structured evaluation of your Google Cloud environment — or a proposed design — to identify risks, gaps, and optimization opportunities before they become production incidents or cost overruns. PrecisionTech conducts reviews for organizations at every stage:

• Pre-migration — validate target architecture, landing zone design, and compliance mapping before the first workload is deployed
• Post-migration — assess lift-and-shift environments that may carry on-premises anti-patterns (over-provisioned VMs, flat network topology, excessive service account keys)
• Pre-scale — before launching a major product, entering a new market, or onboarding regulated data (BFSI, healthcare, government)
• Periodic health checks — quarterly or annual reviews to keep design aligned as teams, services, and regulations evolve
• Incident post-mortem — after an outage, security event, or cost spike to identify root architectural causes

Deliverables include a prioritized findings report (Critical / High / Medium / Low), remediation recommendations with effort estimates, and architecture diagrams showing current vs recommended state. Most reviews complete in 5–15 business days depending on environment complexity. Book a discovery call to scope your review.

A GCP landing zone is a pre-configured, secure, and scalable foundation that every project and workload inherits from day one — rather than each team building its own VPC, IAM, and logging in isolation. Without a landing zone, organizations accumulate shadow IT: inconsistent security controls, untagged resources, billing surprises, and compliance gaps that are expensive to retrofit later.

PrecisionTech landing zone designs typically include:

• GCP Organization with folder hierarchy (Production, Non-Production, Shared Services, Sandbox)
• Shared VPC with host projects and service projects for centralized network governance
• IAM hierarchy — custom roles, group-based access, least privilege, no long-lived service account keys where Workload Identity can be used
• Centralized logging and monitoring — Cloud Logging sinks to BigQuery or Cloud Storage, Security Command Center activation, Cloud Monitoring dashboards
• Billing governance — consolidated billing, budgets, alerts, and label/tag policies for cost allocation
• Security baseline — Organization Policy constraints, VPC Service Controls perimeters, Cloud KMS for CMEK

We use Google's Cloud Foundation Toolkit and Terraform modules where appropriate, producing version-controlled, repeatable infrastructure. Landing zone setup is typically the first deliverable in every PrecisionTech GCP engagement — whether you are migrating from on-premises, AWS, or Azure.

The GCP Organization is the root node of your Google Cloud resource hierarchy. PrecisionTech designs Organization structure to enforce governance, billing separation, and blast-radius containment:

• Organization node — single root tied to your Google Workspace or Cloud Identity domain; Organization Policy constraints applied here cascade to all descendants
• Top-level folders — typically Production, Non-Production (Staging + Development), Shared Services (logging, networking, security tooling), and Sandbox (experimentation with spend caps)
• Environment folders — under Production, separate folders per business unit, product line, or regulatory boundary (e.g., BFSI workloads isolated from general corporate IT)
• Project placement — each application or workload gets its own GCP project for IAM isolation and billing attribution; Shared VPC host projects live under Shared Services
• Org Policy constraints — enforce India-only resource locations (constraints/gcp.resourceLocations), disable service account key creation, require OS Login, restrict public IP assignment, and enforce uniform bucket-level access

This hierarchy mirrors how Google operates internally and aligns with the Google Cloud Setup Checklist and Cloud Foundation Toolkit reference architectures. We document the folder tree, project naming conventions, and IAM inheritance rules in your Architecture Decision Record (ADR) pack.

Shared VPC lets you centralize VPC network administration in a host project while application teams deploy resources in separate service projects that attach to the shared network. This is the GCP equivalent of AWS Transit Gateway hub-and-spoke or Azure Hub-Spoke topology — and it is the recommended network model for enterprises running multiple workloads on GCP.

PrecisionTech Shared VPC designs include:

• Host project — owns VPC subnets, Cloud Router, Cloud NAT, Cloud DNS private zones, firewall rules, and VPC Service Controls perimeters
• Service projects — one per application or team; compute (GCE, GKE), databases (Cloud SQL, AlloyDB), and serverless (Cloud Run) attach to host subnets without managing their own VPC
• Subnet strategy — regional subnets per environment tier (web, app, data) with Private Google Access enabled; secondary IP ranges for GKE Pod and Service CIDRs
• Hybrid connectivity — Cloud VPN or Cloud Interconnect (Dedicated or Partner) terminating in the host VPC for on-premises integration
• Firewall governance — hierarchical firewall policies at Organization or folder level, plus VPC firewall rules in the host project; service projects cannot bypass central rules

Benefits: consistent security posture, simplified audit (one place to review network rules), reduced IP address fragmentation, and faster project onboarding — new teams get a service project attached to an existing Shared VPC in hours, not weeks.

Cloud IAM on GCP follows a resource hierarchy — Organization → Folder → Project → Resource — where permissions inherit downward and can be constrained by Organization Policy. PrecisionTech designs IAM to enforce least privilege, eliminate standing admin access, and support audit requirements:

• Google Groups as principals — map Active Directory or Cloud Identity groups to IAM roles; never bind roles to individual user accounts for production access
• Custom roles — trim predefined roles to the minimum permissions required (e.g., a deployer role with run.services.update but not run.services.delete)
• Service accounts — one per application or automation pipeline; prefer Workload Identity on GKE and Cloud Run over downloadable JSON keys; Organization Policy blocks key creation where possible
• Conditional IAM — time-bound access (request.time conditions), IP-restricted bindings, and resource-tag-based conditions for fine-grained control
• Break-glass accounts — documented emergency Organization Admin access with MFA, session logging, and quarterly access reviews
• Audit trail — Cloud Audit Logs (Admin Activity + Data Access) exported to an immutable BigQuery dataset or Cloud Storage bucket in a security logging project

We produce an IAM matrix mapping every group, role, and scope — a deliverable auditors and compliance teams expect for DPDP Act, RBI, and ISO 27001 reviews.

Google Cloud does not publish a product named "Well-Architected Framework" (that term originates with AWS), but Google provides equivalent guidance through the Google Cloud Architecture Framework, Cloud Setup Checklist, and pillar-specific best-practice documentation. PrecisionTech conducts Well-Architected Framework-style GCP reviews — structured assessments mapped to five pillars familiar to enterprise architects:

• Reliability — HA/DR design, SLOs/SLIs, multi-region and multi-zone patterns, backup and restore, chaos testing readiness
• Security — IAM, encryption (CMEK), VPC Service Controls, Security Command Center, vulnerability management, supply chain security (Binary Authorization)
• Cost optimization — right-sizing, Committed Use Discounts, Spot VMs, idle resource cleanup, BigQuery slot vs on-demand analysis
• Performance efficiency — compute selection (GCE vs GKE vs Cloud Run), network tier, CDN, database tuning, TPU/GPU for ML workloads
• Operational excellence — IaC maturity, CI/CD pipelines, observability (logging, monitoring, tracing), incident response runbooks, change management

Each pillar receives a score and prioritized remediation backlog. Reviews typically run as a 2-day workshop with your engineering and security teams, followed by a written report within one week. Ideal timing: after landing zone setup, before major migration waves, or annually for mature environments.

The Reliability pillar evaluates whether your GCP workloads meet availability and recovery objectives — and whether your architecture can absorb failures without customer impact. PrecisionTech assesses:

• Availability targets — documented SLOs/SLIs per service; alignment between business RTO/RPO and technical design
• Multi-zone deployment — GKE regional clusters, Cloud SQL HA instances, Managed Instance Groups with auto-healing, Cloud Run minimum instances for latency-sensitive services
• Multi-region and DR — active-active or active-passive patterns using asia-south1 (Mumbai) + asia-south2 (Delhi); Cloud DNS failover, load balancer backend failover, database read replicas and cross-region backups
• Backup and restore — automated snapshots (Compute Engine, Cloud SQL, Persistent Disk), Backup and DR Service for VM and database protection, BigQuery table snapshots, Cloud Storage object versioning and retention policies
• Resilience testing — documented chaos/failure injection plans, game-day exercises, and rollback procedures validated in non-production
• Dependency mapping — single points of failure in external APIs, third-party SaaS, and cross-project service dependencies

Common findings in Indian enterprise reviews: single-zone GKE clusters, Cloud SQL without HA enabled, missing backup verification (backups exist but restore has never been tested), and DNS TTLs too high for fast failover. We provide a remediation roadmap ranked by risk and effort.

The Security pillar evaluates identity, data protection, network isolation, threat detection, and compliance readiness. PrecisionTech assesses:

• Identity and access — IAM least privilege, group-based bindings, Workload Identity adoption, service account key inventory and rotation, MFA enforcement via Cloud Identity
• Data protection — encryption at rest (Google-managed vs CMEK via Cloud KMS), encryption in transit (TLS 1.2+ enforced), Secret Manager usage vs hardcoded credentials
• Network security — Shared VPC segmentation, hierarchical firewall policies, Private Google Access, no unnecessary public IPs, Cloud Armor WAF on internet-facing load balancers
• Data exfiltration controls — VPC Service Controls perimeters around sensitive projects (BigQuery, Cloud Storage, Cloud SQL)
• Threat detection — Security Command Center Premium activation, Event Threat Detection, Container Threat Detection on GKE, Security Health Analytics findings triage
• Supply chain — Artifact Registry vulnerability scanning, Binary Authorization for GKE deployments, signed container images
• Compliance mapping — controls mapped to DPDP Act 2023, RBI, SEBI, IRDAI, ISO 27001, and PCI-DSS as applicable

Security findings are classified by exploitability and data sensitivity. Critical items (public Cloud Storage buckets with PII, over-privileged service accounts, missing audit logging) are flagged for immediate remediation.

The Cost Optimization pillar identifies waste, right-sizing opportunities, and discount strategies — critical because many organizations overspend 25–45% on GCP in the first year due to lift-and-shift sizing and unused resources. PrecisionTech assesses:

• Compute right-sizing — Recommender API insights for GCE and GKE; comparison of actual CPU/memory utilization vs provisioned capacity
• Discount strategy — Sustained Use Discounts (automatic), Committed Use Contracts (1-year / 3-year), Spot VMs for fault-tolerant batch workloads
• Idle and orphaned resources — unattached Persistent Disks, unused static IPs, stopped VMs still incurring disk costs, empty GKE node pools
• Storage tiering — Cloud Storage class selection (Standard, Nearline, Coldline, Archive), Autoclass adoption, lifecycle policies
• BigQuery economics — on-demand vs flat-rate slot reservations based on query volume patterns; partitioning and clustering to reduce bytes scanned
• Networking costs — Premium vs Standard Network Service Tier per workload; Cloud CDN for egress reduction; inter-region traffic minimization
• Labeling and chargeback — mandatory labels for cost allocation by team, product, and environment; billing export to BigQuery for FinOps dashboards

Every cost review includes an INR savings estimate with prioritized quick wins (typically achievable in the first 30 days) and longer-term CUD procurement recommendations.

The Performance Efficiency pillar evaluates whether you are using the right GCP services, instance types, and configurations for each workload — balancing performance, cost, and operational complexity. PrecisionTech assesses:

• Compute selection — GCE vs GKE (Autopilot vs Standard) vs Cloud Run vs Cloud Functions; custom machine types vs predefined families; sole-tenant nodes for compliance isolation
• Database selection — Cloud SQL vs AlloyDB vs Spanner vs Firestore vs Bigtable; read replica configuration; connection pooling (PgBouncer, AlloyDB Auth Proxy)
• Network performance — Premium Tier for latency-sensitive workloads; Cloud CDN and Media CDN for content delivery; Cloud Interconnect for hybrid low-latency paths
• Storage performance — Persistent Disk type (pd-standard vs pd-balanced vs pd-ssd vs hyperdisk); Local SSD for high-IOPS workloads; Filestore tier selection
• ML/AI acceleration — TPU vs GPU instance selection for Vertex AI training; Gemini API vs self-hosted models for inference cost/latency tradeoffs
• Observability-driven tuning — Cloud Trace latency analysis, Cloud Profiler for CPU/memory hotspots, load testing baselines in non-production

Performance recommendations include architecture diagrams showing service changes (e.g., migrating a monolithic GCE VM to Cloud Run with concurrency tuning) with expected latency and cost impact.

The Operational Excellence pillar evaluates how well your teams can deploy, monitor, respond to incidents, and evolve the platform over time. PrecisionTech assesses:

• Infrastructure as Code maturity — Terraform (or Deployment Manager) coverage percentage; module reuse; state management; drift detection
• CI/CD pipelines — Cloud Build, Artifact Registry, Cloud Deploy for GKE and Cloud Run; automated testing gates; deployment frequency and lead time metrics
• Observability — Cloud Logging structured logs, Cloud Monitoring dashboards and alerting policies, Cloud Trace and Profiler adoption, uptime checks and SLO-based alerting
• Incident management — documented runbooks, on-call rotation, escalation paths, post-incident review process, error budget policies for SRE teams
• Change management — environment promotion (dev → staging → prod), approval gates in Cloud Deploy, feature flags, canary and blue-green deployment patterns on GKE
• Documentation — architecture diagrams, ADRs, onboarding guides for new engineers, dependency inventories
• Platform team model — clear separation between platform (landing zone, shared services) and product teams (application workloads)

Operational gaps are the most common source of slow incident response and deployment friction. We prioritize fixes that reduce mean time to recovery (MTTR) and increase deployment confidence.

PrecisionTech provides unbiased multi-cloud advisory — we are an Authorized Google Cloud Partner with deep expertise across Amazon AWS and Microsoft Azure, so recommendations are driven by your workload requirements, not vendor preference.

When evaluating GCP vs AWS, we compare across dimensions that matter to Indian businesses:

• AI/ML and data analytics — GCP leads with Vertex AI, Gemini, BigQuery, and TPUs; AWS leads with broader enterprise SaaS integration and Bedrock model choice
• Kubernetes — GKE (Google invented Kubernetes) vs Amazon EKS; Autopilot vs Fargate operational models
• Pricing mechanics — GCP Sustained Use Discounts (automatic, no commitment) vs AWS Reserved Instances and Savings Plans (require upfront planning)
• India regions — GCP: asia-south1 (Mumbai) + asia-south2 (Delhi); AWS: ap-south-1 (Mumbai) + ap-south-2 (Hyderabad)
• Network — Google's private global fibre backbone vs AWS Global Accelerator and CloudFront
• Compliance — both support DPDP-aligned India residency; sector-specific mapping (RBI, SEBI) evaluated per workload
• Existing investment — team skills, existing AWS Reserved Instances, VMware on AWS vs Migrate to Virtual Machines on GCP

Deliverable: a decision matrix with weighted scoring, TCO comparison in INR, and a recommended primary cloud with optional secondary for specific workloads (e.g., GCP for analytics/AI, AWS for legacy ERP).

For organizations comparing GCP vs Microsoft Azure, PrecisionTech evaluates fit based on your application portfolio, team skills, and regulatory context — not generic feature checklists.

Key comparison dimensions:

• Microsoft ecosystem — Azure excels when you run Windows Server, SQL Server, Active Directory, and Microsoft 365; GCP requires more re-platforming for .NET monoliths but offers superior BigQuery and Vertex AI
• Hybrid identity — Azure AD integration is native on Azure; GCP uses Cloud Identity / Workforce Identity Federation with Azure AD as an external IdP
• India regions — GCP: Mumbai + Delhi (2 regions, 6 zones); Azure: Mumbai, Pune, Chennai (3 regions)
• Data and AI — BigQuery and Looker vs Azure Synapse and Fabric; Vertex AI/Gemini vs Azure OpenAI Service
• Kubernetes — GKE vs AKS; GKE Autopilot vs AKS Automatic
• Compliance — both MEITY-empanelled; DPDP and RBI mapping evaluated per workload type
• Cost — GCP SUDs vs Azure Reserved VM Instances; Azure Hybrid Benefit for Windows/SQL licenses you already own

We also advise on rational multi-cloud — running GCP for data/AI while keeping Azure for Microsoft-centric workloads is a common and valid pattern. The goal is avoiding unnecessary complexity: two clouds should serve distinct strategic purposes, not duplicate the same workload. See our full AWS vs Azure vs Google Cloud comparison for a detailed side-by-side analysis.

A GCP roadmap workshop is a structured 1–3 day engagement where PrecisionTech architects work with your leadership and engineering teams to produce a phased plan for cloud adoption, migration, or modernization on Google Cloud.

Workshop agenda typically covers:

• Day 1 — Discovery — business goals, current state inventory (applications, databases, integrations), compliance requirements (DPDP, RBI, sector regulators), team skills assessment
• Day 2 — Design — landing zone blueprint, target architecture per workload, 6R/ADAPT strategy assignment (Rehost, Replatform, Refactor, Retire, Retain), multi-cloud positioning if applicable
• Day 3 — Planning — migration wave sequencing, dependency mapping, cutover windows, risk register, and INR cost modeling with CUD recommendations

Deliverables (delivered within 5–10 business days after the workshop):

• Executive summary with 12–24 month phased roadmap
• Architecture diagrams (current state, target state, transition state)
• Workload inventory with migration strategy per application
• INR cost estimate — on-premises TCO vs GCP projected spend with discount scenarios
• Compliance mapping document (DPDP, RBI, ISO controls → GCP services)
• Quick wins list — actions achievable in the first 30 days

Roadmap workshops are ideal before board-level cloud investment decisions or RFP preparation. Schedule a roadmap workshop with our architecture team.

ADAPT (Assess, Define, Adapt, Plan, Transform) is Google's recommended migration methodology. PrecisionTech integrates ADAPT into every architecture engagement — consulting is not separate from migration planning; the landing zone and target architecture are the migration foundation.

• Assess — application discovery, dependency mapping, TCO analysis, compliance requirements inventory; tools include Migrate to Virtual Machines assessment and manual CMDB review
• Define — assign migration strategy per workload (Rehost to GCE, Replatform to Cloud SQL/Cloud Run/GKE, Refactor to cloud-native, Retire, Retain); define landing zone requirements derived from assessment findings
• Adapt — team upskilling on GCP, IaC and CI/CD pipeline setup, landing zone deployment (Organization, Shared VPC, IAM), proof-of-concept migrations in sandbox
• Plan — wave planning, rollback procedures, cutover scheduling, communication plan; architecture review gates before each wave
• Transform — execute migrations using Migrate to Virtual Machines, Database Migration Service, Transfer Service, and Transfer Appliance; post-migration Well-Architected review and cost optimization

Architecture consulting deliverables map directly to ADAPT phases: landing zone design = Adapt; Well-Architected review = Assess + ongoing Transform; roadmap workshop = Define + Plan. This ensures your architecture investment accelerates migration execution rather than producing shelfware.

PrecisionTech consultants hold the Google Cloud Professional Cloud Architect certification — Google's highest-level credential for designing, developing, and managing robust, secure, scalable, and dynamic solutions on GCP. Our team also includes certified Professional Data Engineer, Professional DevOps Engineer, and Professional Cloud Security Engineer specialists for pillar-specific depth.

Professional Cloud Architect consulting engagements include:

• Solution architecture — end-to-end design for new applications on GCE, GKE, Cloud Run, Cloud SQL, BigQuery, Vertex AI, and hybrid patterns
• Architecture review and remediation — Well-Architected-style assessments with prioritized findings
• Landing zone and Shared VPC design — production-ready foundation documentation and Terraform implementation
• High availability and DR design — multi-zone and multi-region patterns using India regions
• Security architecture — IAM design, VPC Service Controls, CMEK, Cloud Armor, compliance mapping
• Cost architecture — CUD strategy, right-sizing, FinOps dashboard design
• Technical leadership — architecture decision records, design review participation, vendor/RFP technical evaluation

Engagement models: fixed-scope architecture packages, time-and-materials advisory retainers, or embedded architect support during migration programs. Discuss your requirements — we respond during business hours, 11 AM–5 PM Mon–Fri (excl. holidays).

Indian regulatory requirements are not optional add-ons — they are design constraints that PrecisionTech embeds from the first architecture workshop. We map controls to specific GCP services and Organization Policy constraints:

Digital Personal Data Protection Act 2023 (DPDP Act)

• Data residency — Organization Policy constraint constraints/gcp.resourceLocations restricting resource creation to in:asia-south1-locations,asia-south2-locations
• Reasonable security safeguards — CMEK via Cloud KMS, TLS 1.3 in transit, VPC Service Controls to prevent exfiltration, Security Command Center for continuous monitoring
• Consent and purpose limitation — architecture supports data classification labels, separate projects per data sensitivity tier, audit logging for data access
• Right to erasure — BigQuery table expiration, Cloud Storage lifecycle deletion policies, documented data deletion runbooks
• Breach notification readiness — Cloud Audit Logs + Security Command Center findings provide detection evidence; immutable log storage for 72-hour notification compliance

Reserve Bank of India (RBI) and sector regulators

• Data localisation — all payment, KYC, and core banking data in asia-south1/asia-south2 only; no cross-border replication without explicit regulatory approval
• Network isolation — Shared VPC segmentation separating payment processing from corporate IT; Private Google Access; no public IPs on database tiers
• Encryption — CMEK with customer-controlled key rotation; HSM-backed keys via Cloud HSM where required
• Audit trail — comprehensive Cloud Audit Logs exported to tamper-evident storage; access reviews documented quarterly

Deliverable: a compliance mapping matrix linking each regulatory requirement to GCP controls, Organization Policies, and operational procedures — ready for internal audit or regulator inquiry.

Infrastructure as Code (IaC) is essential for repeatable, auditable, and drift-resistant GCP environments. PrecisionTech implements Terraform as the primary IaC tool — aligned with Google's official Cloud Foundation Toolkit (CFT) and Terraform modules.

Our IaC approach includes:

• Module library — reusable Terraform modules for landing zone components (Organization, folders, projects, Shared VPC, IAM, Cloud KMS, logging sinks) based on Google's CFT reference implementations
• State management — remote state in Google Cloud Storage with state locking via Cloud Storage versioning; separate state files per environment to limit blast radius
• CI/CD integration — Terraform plan/apply in Cloud Build pipelines with manual approval gates for production; pull-request-based plan output for peer review
• Policy as code — Terraform preconditions, Sentinel-style checks (via custom validation), and Organization Policy constraints enforced alongside IaC
• Drift detection — scheduled Terraform plan runs comparing desired vs actual state; alerts on unauthorized manual changes in GCP Console
• Import and adoption — Terraform import of existing manually-created resources to bring brownfield environments under IaC management without rebuild

We also support Config Connector (Kubernetes-native GCP resource management) for teams already operating GKE-centric platforms, and Pulumi on request for teams preferring general-purpose programming languages over HCL.

IaC maturity is assessed in every Operational Excellence pillar review — organizations without IaC consistently show higher incident rates and slower environment provisioning.

Google Cloud operates two India regions — each with three Availability Zones — and architecture decisions around region selection directly affect compliance, latency, cost, and disaster recovery:

• asia-south1 (Mumbai) — launched 2017; GCP's first India region; primary choice for most Indian workloads due to maturity and service availability
• asia-south2 (Delhi) — launched 2021; essential for multi-region DR within India and for organizations with regulatory preference for NCR-based data residency

PrecisionTech architecture designs leverage both regions for:

• Data residency compliance — DPDP Act, RBI, SEBI, and IRDAI requirements satisfied by keeping all data and processing within India; Organization Policy constraints prevent accidental resource creation in US or EU regions
• Low latency — 5–20 ms round-trip to Indian users vs 150–250 ms from US/EU regions; critical for fintech, e-commerce, gaming, and real-time analytics
• Active-active and DR patterns — Google's private backbone connects Mumbai and Delhi with single-digit millisecond inter-region latency; Cloud Load Balancing, Cloud DNS failover, and Cloud SQL cross-region replicas enable in-country HA/DR without cross-border data flows
• Dual-region Cloud Storage — buckets spanning Mumbai + Delhi for 11-nines durability with India-only data residency
• CDN edge PoPs — Google Cloud CDN serves from PoPs in Mumbai, Delhi, Chennai, Bangalore, Hyderabad, and Kolkata for static and dynamic content acceleration

Region selection is documented in your Architecture Decision Record with rationale for primary, DR, and any workload-specific exceptions.

Yes. PRECISION e-Technologies Pvt Ltd (PrecisionTech.in) is an Authorized Google Cloud Partner in the Google Cloud Partner Advantage Program and an Authorized Google Workspace Partner — enabling integrated cloud + collaboration architecture from a single trusted advisor. With 30+ years serving Indian businesses, our credentials include:

• Google Cloud Professional Cloud Architect, Professional Data Engineer, Professional DevOps Engineer, and Professional Cloud Security Engineer certifications on our consulting team
• ISO 9001 (quality management), ISO 27001 (information security), and CMMI Level 3 organizational certifications

How to engage:

1. Submit an inquiry via our contact form — describe your current environment, goals, and timeline
2. Discovery call — 30-minute scoping conversation with a certified architect (typically within 1–2 business days)
3. Proposal — fixed-scope architecture review, landing zone package, or roadmap workshop quote in INR
4. Kickoff — workshop or remote assessment begins; first findings within the agreed timeline

Support hours: PrecisionTech architecture and consulting support is available 11 AM–5 PM, Monday–Friday (excluding public holidays, IST). For managed services clients, extended monitoring and incident response options are available separately. We look forward to architecting your GCP environment — contact us today.