Cloud Overview — AWS, Azure & Databricks

Operator-led architecture, not slides. Landing zones, security, cost control, and modernisation across AWS & Azure — with Databricks for data & AI.

Venue-neutral: we’ll put each workload where it wins — and prove it on cost, latency, and risk.

Deep Dives

Choose a platform, then drill into manage, migrate, modernise, and optimise.

AWS

AWS — Manage

Landing Zone, org/account strategy, budgets/tags, posture reporting.

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AWS — Migration

Blueprints, connectivity, data move, rollback, prove-you-can-recover.

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AWS — Modernise

EKS/ECS, serverless, event-driven, managed DBs, zero-trust edges.

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AWS — Optimise

Rightsizing, SP/RI strategy, storage tiers, egress-aware design.

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Azure

Azure — Manage

Landing Zones, policy-as-code, budgets/tags, Sentinel & posture.

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Azure — Migration

vWAN/ExpressRoute, data move, blue/green, DR drills by tier.

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Azure — Modernise

AKS, Functions, App Service, Private Link, managed data services.

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Azure — Optimise

Rightsizing, reservations/savings, lifecycle policies, showback cadence.

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Databricks

Databricks — Lakehouse

Delta Lake, Unity Catalog policies, lineage, secure sharing, performance tuning.

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Databricks — Engineering

Lakehouse on AWS/Azure, ingestion/ELT, streaming, workspace patterns.

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Databricks — ML/AI

Feature stores, model lifecycle, inference pipelines, GenAI enablement.

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Databricks — Optimise

Cluster policies, auto-stop, job orchestration, cost controls & showback.

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What We Deliver

AWS

  • Landing Zone / Control Tower, org & account strategy
  • Networking: VPC, TGW, PrivateLink, hybrid connectivity
  • Security: IAM, KMS, GuardDuty, WAF, CloudTrail Lake
  • Modernisation: EKS/ECS, serverless, event-driven
  • Data: S3/Lake Formation + Databricks or Glue

Azure

  • Landing Zone: subscriptions, management groups, policy
  • Networking: vWAN/vNet, Private Link, ExpressRoute
  • Security: Entra ID, Defender, Key Vault, Sentinel
  • Modernisation: AKS, App Service, Functions
  • Data: ADLS + Databricks / Synapse patterns

Databricks (Data & AI)

  • Lakehouse architecture on AWS or Azure
  • Unity Catalog, data governance & lineage
  • ETL/ELT, streaming, ML & GenAI enablement
  • Cost controls: cluster policies, auto-stop, job orchestration
  • Secure sharing & productised data sets

Foundation: Guardrails First

Landing Zones

  • Identity, org/subscription/account structure
  • Network hubs, private connectivity, egress control
  • Policies as code, tagging, budgets, showback
  • Backup/DR patterns, resilience tiers

Security by Default

  • Least-privilege IAM/RBAC, break-glass, key custody
  • Threat detection, WAF/CDN edges, secrets management
  • Logging, metrics, traces into a single pane
  • Board-level posture: monthly reporting

Result: faster project starts, fewer incidents, predictable run.

Cost Control & FinOps

Visibility

Tags, budgets, anomaly detection, and showback per app/team.

Optimisation

Rightsizing, commitment strategy (SP/RI/Savings Plans), storage tiers, egress awareness.

Governance Rhythm

Monthly reviews on spend, performance, and reliability with clear next best moves.

−20–40% steady run Guardrails as code 12/36-month TCO

Modernisation & Migration

Modernise

  • Containerise / move to managed PaaS
  • Event & serverless for bursty workloads
  • CDN/WAF + zero-trust edges

Move with Confidence

  • Blueprints, pilots, and rollback paths
  • Blue/green & feature flags for zero-downtime
  • Prove-you-can-recover drills (RPO/RTO)

Hybrid That Just Works

Cloud elasticity when it wins; hosted/on-prem for predictable, sovereign, low-latency run.

Private Connectivity

ExpressRoute / Direct Connect, segmented routes, DNS strategy.

Data Residency

Keep sensitive data local; share aggregates. Key management you control.

Unified Ops

One pane for logs/metrics/traces. SLOs drive action, not noise.

Design a cloud foundation that pays for itself.

We’ll baseline cost, risk, and latency, then land the first self-funding moves.

Book a Cloud Assessment

FAQ

Do you prefer AWS or Azure?

We’re venue-neutral. We design per-workload, then prove the choice with numbers.

How do you control Databricks spend?

Cluster policies, auto-stop, job orchestration, tag-based showback, and monthly reviews.

Can you integrate with our SOC/NOC?

Yes. We standardise telemetry and wire alerts into your existing processes and tools.

How quickly do we see value?

Within the first month, targeting high-impact cost/perf quick wins that fund the next moves.