Server catalog / Database SLA replication sizing checklist
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Database SLA replication sizing checklist

We prepare a database SLA sizing checklist for server infrastructure before PostgreSQL and MS SQL launch: capacity plan, database workload sizing checklist, replication lag, database failover readiness and backup restore evidence pack.

database SLA PostgreSQL MS SQL failover readiness

Which search requests this page answers

We cover commercial and engineering scenarios for server infrastructure choice: TCO, checklist, migration, SLA/SLO, RPO/RTO and ownership.

What the SLA sizing checklist captures

The checklist connects database workload, SLA/SLO, capacity plan, replication and recovery so launch is verifiable, not just a server with a database.

What the SLA sizing checklist captures

database SLA sizing checklist

Availability target, maintenance window, peak workload, growth reserve and budget guardrails for database SLA/SLO.

SLA/SLO growth budget
What the SLA sizing checklist captures

PostgreSQL SLA sizing checklist

CPU/RAM, shared buffers, WAL volume, connection profile, replication lag and backup window for PostgreSQL server with SLA.

PostgreSQL WAL replication
What the SLA sizing checklist captures

MS SQL SLA capacity plan

CPU cores, memory pressure, tempdb, storage latency, maintenance jobs and license-sensitive capacity planning.

MS SQL tempdb capacity
What the SLA sizing checklist captures

database workload sizing checklist

Read/write ratio, query peaks, batch jobs, reporting windows, storage growth and failover acceptance criteria.

workload queries failover

When a dedicated database SLA proof is needed

A dedicated proof is needed when database downtime costs more than the server: ERP, 1C, Bitrix, ecommerce, reporting, integrations and any SLA-critical data.

When a dedicated database SLA proof is needed

ERP and 1C databases

Transaction consistency, latency target, backup window, restore time and maintenance approval before launch.

ERP 1C restore time
When a dedicated database SLA proof is needed

Bitrix and ecommerce data

Catalog, orders, cache, replication lag, release window and rollback criteria for web workloads.

Bitrix orders rollback
When a dedicated database SLA proof is needed

Reporting and integrations

Read replicas, ETL windows, API dependencies, query isolation and growth reserve for analytics workloads.

read replicas ETL analytics

What the team receives

The output is a database SLA readiness record: capacity plan, replication/failover criteria, monitoring, backup restore evidence pack and owner matrix.

What the team receives

database failover readiness

Failover trigger, replication lag threshold, decision owner, rollback condition and post-failover validation.

failover lag rollback
What the team receives

backup restore evidence pack

Restore timing, consistency checks, sample recovery log, RPO/RTO result and owner approval.

restore RPO/RTO approval
What the team receives

Replication and monitoring handoff

Metrics, alert thresholds, escalation contacts, maintenance rules and evidence for SLA reporting.

metrics alerts SLA

Services related to database SLA

Use this checklist when choosing a database server, sizing PostgreSQL or MS SQL and proving restore/failover readiness.

FAQ

Is this the same as database performance tuning?

No. Performance tuning optimizes current behavior. This checklist defines SLA sizing, capacity reserve, replication/failover readiness and backup restore evidence before production risk is accepted.

Can the checklist be used before choosing PostgreSQL or MS SQL hosting?

Yes. It clarifies workload, SLA/SLO, replication, backup restore evidence and capacity plan before selecting a dedicated, cloud or hybrid database server model.

Validate database SLA

Describe PostgreSQL or MS SQL, workload, SLA/SLO, backup window and failover expectations: we will prepare a database SLA replication sizing checklist.

Send a request or contact us about the project: a SO-TECH engineer will estimate TCO, compare SLA/SLO, backup, RPO/RTO and help choose the server model for your budget, workload and launch timeline.