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Services

Providing Everything You Need

Collaborative Team Meeting

Strategy & Planning Services

Overview:
Turn cloud ambition into an execution-ready plan. We assess your current state, define a secure and scalable target architecture, and build a prioritized roadmap that ties every initiative to measurable outcomes, timelines, and ROI.

What we do:

  • Cloud readiness assessment (technology, security, operating model, and delivery maturity)

  • Target-state architecture and reference patterns aligned to Google Cloud best practices

  • Prioritized roadmap (quick wins + strategic programs) with dependencies and milestones

  • KPI framework (reliability, delivery velocity, cost efficiency, security posture)

  • TCO/ROI business case and investment plan

  • Risk, compliance, and governance recommendations to reduce delivery friction

Deliverables:

  • Executive strategy brief + target-state architecture package

  • 90-day action plan + 6–12 month roadmap

  • KPI scorecard + business case (TCO/ROI)

Outcomes you can expect:

  • Clear priorities, reduced uncertainty, and faster stakeholder alignment

  • A practical plan your engineering teams can implement

  • A measurable path to cloud value (cost, speed, resilience)

Google Cloud Infrastructure Consulting

Overview:
We design and implement an enterprise-grade Google Cloud foundation (“landing zone”) so teams can move fast with guardrails—covering identity, resource hierarchy, networking, and security from day one.

What we do:

  • Landing zone design: identity onboarding, org/resource hierarchy, network design, and security baseline

  • Secure networking patterns (shared VPC, segmentation, connectivity)

  • IAM and access controls based on least privilege

  • Policy guardrails (standards, logging/monitoring defaults, baseline configurations)

  • Infrastructure as Code for repeatable environments (dev/test/prod)

  • Platform foundations for production workloads (observability, SRE-ready operations)

Deliverables:

  • Landing zone architecture + implementation plan

  • Deployed foundation environments + guardrails

  • Runbooks and operating procedures

Outcomes you can expect:

  • Reduced security risk and drift

  • Faster, standardized environment provisioning

  • A foundation that scales across teams and business units

Business Team Discussion
Team Collaborates in Data Center

Migration & Modernization Services

Overview:
We plan and execute migrations for apps, data, and infrastructure using pragmatic strategies (rehost, replatform, refactor, retire, retain), then modernize to cloud-native patterns for agility, resilience, and faster release cycles.

What we do:

  • Application and data portfolio assessment and migration strategy selection

  • Wave planning, dependency mapping, and cutover/runbook design

  • Secure landing zone alignment before migration (so you don’t migrate into chaos)

  • Modernization: containerization, GKE adoption, and serverless refactoring where it fits

  • Reliability, security, and performance validation using Well-Architected principles

  • Post-migration optimization and operational handoff

Deliverables:

  • Migration plan (waves, timelines, risks, rollback)

  • Executed migrations + validation reports

  • Modernization backlog + reference implementations

Outcomes you can expect:

  • Reduced migration risk, fewer surprises

  • Faster time-to-value with modernization aligned to business priorities

  • Improved reliability and operational readiness

Data Engineering

Overview:
We build and improve data pipelines so your teams can reliably ingest, transform, and deliver analytics/ML-ready datasets—often using ELT patterns that leverage BigQuery’s strengths.

What we do:

  • Data ingestion from SaaS/apps/databases/streams into a centralized platform

  • ELT/ETL pipelines, orchestration, and automation (batch + near real-time)

  • Data quality checks, lineage-ready modeling, and reliability improvements

  • Standardized dataset and schema design for analytics and ML use

  • Performance tuning and cost-aware transformations (partitioning, clustering, query optimization)

Deliverables:

  • Production data pipelines + orchestration workflows

  • Data quality rules + monitoring dashboards

  • Reusable transformation frameworks and standards

Outcomes you can expect:

  • Faster, more reliable data delivery

  • Higher trust in reporting and ML features

  • Lower pipeline maintenance burden

Person Analyzing Data
Stock Market Analysis

Data Platform Modernization & Analytics

Overview:
Modernize your analytics stack to break silos and enable self-serve insights. We design BigQuery-centered architectures and BI patterns that make trusted data accessible, governed, and performant.

What we do:

  • Modern data architecture (warehouse/lakehouse patterns where appropriate)

  • Data model design for business domains + semantic layers for consistent metrics

  • Self-serve analytics enablement (role-based access + curated datasets)

  • Governance-ready design (policies, access controls, auditability)

  • Modernization of legacy warehouses and pipeline patterns

Deliverables:

  • Target data platform architecture + implementation plan

  • Curated analytics datasets + metric definitions

  • BI enablement patterns + governance guardrails

Outcomes you can expect:

  • Consistent metrics across teams

  • Faster reporting and decision cycles

  • Scalable analytics that supports growth

AI/ML & GenAI Enablement (Vertex AI + MLOps)

Overview:
We help you select high-impact AI use cases and operationalize models on Vertex AI with strong MLOps practices—automation, monitoring, governance, and repeatable deployment so AI delivers durable business value.

What we do:

  • Use-case discovery and value/risk prioritization

  • Model development and evaluation workflows

  • MLOps foundations: pipelines, automated retraining, model registry patterns, and governance

  • Deployment to production with monitoring and operational runbooks

  • GenAI enablement patterns (where applicable) with responsible rollout guardrails

Deliverables:

  • Use-case backlog + delivery roadmap

  • Vertex AI pipeline + deployment blueprint

  • Monitoring, governance, and operational handoff

Outcomes you can expect:

  • Faster path from experiment to production

  • Better model reliability and maintainability

  • Reduced operational and compliance risk

Artificial Intelligence Circuit
Revewing Graphs

Cloud Optimization & FinOps

Overview:
Optimization isn’t a one-time exercise. We implement continuous cost and performance practices—combining FinOps governance with technical tuning and Well-Architected reviews to keep your cloud efficient and resilient.

What we do:

  • Cost visibility, allocation, and optimization planning using FinOps practices

  • Budgeting, alerts, and actionable optimization opportunities leveraging Google Cloud tooling

  • Rightsizing, commitment strategy, and waste reduction

  • Performance tuning (latency, throughput, reliability bottlenecks)

  • Well-Architected reviews across security, reliability, performance, cost, and operations

Deliverables:

  • Cost optimization report + savings plan

  • FinOps operating model (cadence, reporting, ownership)

  • Well-Architected findings + prioritized remediation backlog

Outcomes you can expect:

  • Lower cloud spend with fewer fire drills

  • Improved performance and reliability

  • Ongoing accountability and predictable optimization

Organizational Enablement & Governance

Overview:
Cloud success depends on people and process. We help you define the operating model, governance, and enablement programs that scale adoption safely—so teams can deliver faster without sacrificing security or compliance.

What we do:

  • Cloud operating model and roles/responsibilities (including CCoE patterns where helpful)

  • Governance and policy guardrails (standards, access, environment controls)

  • Delivery enablement: reference architectures, golden paths, templates, playbooks

  • Team enablement workshops for platform, data, security, and ML practices

  • Adoption planning aligned to Google Cloud Adoption Framework themes

Deliverables:

  • Governance framework + policy set

  • Enablement program (workshops, playbooks, standards)

  • Operating cadence (reviews, compliance checks, metrics)

Outcomes you can expect:

  • Faster onboarding and safer delivery at scale

  • Consistent practices across teams

  • Reduced risk and stronger cloud maturity

Team Meeting Discussion
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