Aurora
AuroraCloud & Infrastructure
Cloud & Infrastructure practice

Move and operate cloud, infrastructure, and data platforms with control.

Aurora helps organizations adopt cloud, operate infrastructure, deliver digital systems, and build governed data foundations. Our work is structured around reliability, cost visibility, operating ownership, and documented control.

Managed environmentSample data
Ascend · Anchor · Forge · BlueprintLast 30 days
Availability
99.97%
Against a 99.9% SLA
Monthly cloud cost
$48.2K
−12% vs baseline
Open incidents
0 · 2
P1 · P3
Data pipelines
42 / 42
On schedule

Coverage by layer

  • CloudHealthy
  • NetworkHealthy
  • Operating systemPatch window Sat
  • DatabaseHealthy
  • Application1 P3 open
Monthly service review · 3 OctRunbook linked · escalation path named
Sample data. An illustrative view of a managed environment, not a client system.
  • Diagnostic first

    Scoped entry engagement with a written output

  • Architecture first

    Implementation sequence agreed before build

  • One business day

    Standard response target for enquiries

  • Named partners

    Specialist delivery where the scope requires it

  • Documented scope

    Partner roles defined at contracting

Technology situations

Three situations where Aurora supports technology leaders.

Organizations usually involve Aurora when cloud adoption, infrastructure operations, delivery execution, or data reliability becomes a leadership concern.

Journey 01

Move to cloud

For
Organizations planning migration, consolidation or cloud adoption.
Outcome
Assess the current estate, define landing-zone requirements, identify operating risks, and sequence workloads into a governed migration path.
  • Estate assessment
  • Landing zones
  • Operating risks
  • Migration sequence
  • Governance
Journey 02

Operate critical infrastructure

For
Organizations that need stronger monitoring, runbooks, escalation, service reviews, and operating ownership.
Outcome
Establish operating discipline across cloud, network, operating system, database, and application layers.
  • Monitoring
  • Runbooks
  • Escalation
  • Service reviews
  • Operating ownership
Journey 03

Modernize data and digital platforms

For
Organizations replacing manual workflows, fragmented reporting, or unstable data pipelines.
Outcome
Support structured delivery and data engineering with governance, adoption, and operating ownership built into the scope.
  • Solutions delivery
  • Data engineering
  • Governance
  • Adoption
  • Operating ownership
Operating outcomes

Cloud and data work, structured around operating outcomes.

Aurora’s Cloud & Infrastructure practice covers four capability areas. Each begins with a diagnostic to define the current state, risk profile, and delivery path.

01

Governed cloud adoption

Landing zones, identity, network, secrets, observability and cost controls defined before workloads scale.

02

Operational continuity

Monitoring, runbooks, SLAs, incident routing and review cycles built into the operating model.

03

Cost and security control

FinOps and security posture are treated as management disciplines, not post-migration cleanup.

04

Trusted data foundations

Pipelines, governance, lineage and access controls create reporting and AI foundations people can trust.

Capability areas

The services behind the journeys.

Each capability has a defined diagnostic, partner model and measurable operating outcome.

Aurora AscendC / 01

Cloud Adoption

Outcome

A migrated, optimized cloud estate with documented landing zones, governance and FinOps practices — TCO measured, reported and managed.

What it covers

  • Cloud readiness
  • Landing zones
  • Migration sequencing
  • Governance
  • Cost visibility
  • Operating controls
Aurora AnchorC / 02

Managed Infrastructure

Outcome

Managed support during agreed engagement hours across cloud, network, OS, database and application layers — with documented SLAs and a named technical account manager.

What it covers

  • Monitoring
  • Runbooks
  • Escalation paths
  • Change control
  • Service reviews
  • Operating ownership
Aurora ForgeC / 03

Data Engineering

Outcome

A modern data platform — warehouse or lakehouse — with reliable pipelines, governed access and the foundation laid for analytics, reporting and AI.

What it covers

  • Data pipelines
  • Warehouse or lakehouse foundations
  • Access control
  • Reporting reliability
  • Analytics readiness
Aurora BlueprintC / 04

Solutions Delivery

Outcome

A delivered, measurable digital initiative — a process automated, a system modernized, a platform launched — with adoption metrics, not just deliverables.

What it covers

  • Business systems
  • Workflow automation
  • Platform modernization
  • Integration-led initiatives
Operable delivery

Cloud work is not complete until it can be operated.

Migration without operating discipline creates new risk. Aurora’s cloud and infrastructure work includes documentation, monitoring, escalation, service reviews, cost visibility, and defined ownership paths.

Operability standards

  • DocumentationArchitecture, runbooks and change paths written down and handed over.
  • MonitoringAlerting that reaches a named owner, not an unread inbox.
  • EscalationIncident routing and escalation paths agreed before production.
  • Service reviewsA regular review cycle against the agreed SLAs.
  • Cost visibilitySpend reported against a baseline, owned by someone.
  • Defined ownershipClear owners for each layer once the engagement ends.

What “done” means in each capability

  1. Aurora Ascend

    A cloud diagnostic gives leadership a written view of current risks, operating gaps, cost considerations, and the recommended delivery path.

  2. Aurora Anchor

    Aurora structures ownership and operating routines before production exposure expands.

  3. Aurora Forge

    The work is not complete until the data foundation can be governed, operated, and trusted by the teams using it.

  4. Aurora Blueprint

    Success criteria are agreed before go-live and reported after the engagement reaches production operation.

Partner model

Partner roles, named and bounded.

Aurora leads the engagement. When hyperscaler engineering, specialist tooling or platform-specific delivery depth is required, Aurora extends through delivery partners whose role is named, scoped and documented before delivery expands.

CLOUDNamed per engagement

Hyperscaler delivery teams

AWS · Microsoft Azure · Google Cloud

Specialist migration and platform engineers on the major clouds, working under Aurora’s architecture and program management.

NOCNamed per engagement

NOC and monitoring

NOC · Observability

Contracted observability, alerting and incident-routing support where the scope requires it, inside Aurora’s SLA framework and runbooks.

DATANamed per engagement

Data platform delivery teams

Snowflake · Databricks · BigQuery

Platform-specific delivery depth for modern warehouse and lakehouse builds.

FINOPSNamed per engagement

FinOps tooling

FinOps

Cloud cost observability and optimization tooling that supports reporting against the agreed baseline.

SECNamed per engagement

Security posture tooling

CSPM

CSPM and security baseline tooling for regulated and sensitive cloud environments.

What Aurora owns

Aurora owns the engagement structure, architecture, client relationship, and outcome accountability. Partner roles are documented at contracting. Standard enquiries receive a response within one business day.

Review the partner model
Platforms we work with
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Snowflake
  • Databricks
  • BigQuery

Start with a clear view of the estate.

A cloud or data diagnostic gives leadership a written view of current risks, operating gaps, cost considerations, and the recommended delivery path.

Every Aurora engagement starts with a short, no-commitment diagnostic and a written deliverable. No price list — we scope your environment, then quote.

See available diagnostics

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