Architecture & HCI

Store, move, and govern data so it’s fast when needed and safe when audited.

Use these guides to design tiers, control growth, and keep data compliant across on‑prem and cloud.

Design data tiers: map hot/warm/cold to the right media and SLAs so apps stay fast and costs stay sane.
Control growth with policy: set lifecycle rules, legal holds, and deletion paths that stand up to audits.
Prove compliance: collect policy exports, retention logs, and evidence in a single, searchable place.
Move data efficiently: build pipelines that compress/dedupe at source and avoid expensive egress.
Protect what matters: enable immutability/WORM for critical datasets and link cyber‑recovery runbooks.
Measure what matters: track capacity, p95 latency, change volume, and egress so you can forecast and optimise.

Put hot, warm, and cold data on the right tier to cut cost without slowing apps.

What’s inside:

Tier definitions; workload mapping; lifecycle policies and exceptions.

Control growth while meeting legal and business needs.

What’s inside:

Retention matrix; WORM/immutability; deletion and legal hold; audit trail.

Move data efficiently between edge, core, and cloud.

What’s inside:

Ingest and change data capture; compression/dedup; cost‑aware replication; egress planning.

How do we choose tiers?

Classify by access frequency and performance needs; set lifecycle rules that move data automatically with override exceptions.

What proves compliance?

Policy exports, retention logs, legal holds, and deletion evidence linked to tickets.

How do we avoid bill shock in cloud?

Compress/dedupe at source, batch transfers, choose regions wisely, and track egress in dashboards.