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Kategorie

Infrastructure & Scaling

Servers, performance, deployments and backups for growing platforms.

10 Artikel

The Result Was Fast. Its Queue Was Not — NovaCommerce 4
Redis & cachingQueues & workersObservability

The Result Was Fast. Its Queue Was Not — NovaCommerce 4

A 0.34-second result job waited behind slow AI work. Separate lanes helped, but durable submissions, bounded retries and worker recovery still mattered.

Anichur Rahamanvor 1 Monat5min
The Database Moved. One Old Client Did Not — NovaCommerce 3
DatabasesVector search (pgvector)Backups

The Database Moved. One Old Client Did Not — NovaCommerce 3

A 26-minute database cutover looked complete until a legacy panel wrote to the old copy. The lesson is writer control, reconciliation and honest recovery.

Anichur Rahamanvor 1 Monat5min
Ready Before the Exam: Scaling and Replacing Web Nodes — NovaCommerce 2
Load balancingAutoscalingDevOps

Ready Before the Exam: Scaling and Replacing Web Nodes — NovaCommerce 2

Two application pools helped a timed-exam platform grow. The harder work was proving readiness, draining old nodes and keeping one version of the service.

Anichur Rahamanvor 1 Monat5min
A Smaller Cloud Bill—or a Bigger Operations Job? Price the Whole Move
Cloud costsSelf-hostingData sovereignty

A Smaller Cloud Bill—or a Bigger Operations Job? Price the Whole Move

Compare the service you need, not a cloud invoice against a bare server. Include people, recovery and exit costs before choosing managed hosting, repatriation or a hybrid.

Anichur Rahamanvor 1 Monat6min
Checkout Stuck, CPU Calm: Observability That Finds the Unfinished Work
ObservabilityDevOpsPerformance

Checkout Stuck, CPU Calm: Observability That Finds the Unfinished Work

A green server graph can hide delayed orders. Connect real business outcomes to metrics, protected logs and traces, then give each alert an action and an owner.

Anichur Rahamanvor 1 Monat6min
Protect the Checkout Data Path: Pools, Replicas, Cache and Vector Search
DatabasesRedis & cachingVector search (pgvector)

Protect the Checkout Data Path: Pools, Replicas, Cache and Vector Search

A connection limit is not a capacity plan. Budget every pool, define which reads may be stale and keep disposable cache separate from business obligations.

Anichur Rahamanvor 1 Monat8min
Queues That Finish the Work: Capacity, Ownership and Safe Recovery
Queues & workersAutoscalingRedis & caching

Queues That Finish the Work: Capacity, Ownership and Safe Recovery

A fast response can hide unfinished business work. Size the worker pool for arrivals and backlog, preserve the accepted record and make retries accountable.

Anichur Rahamanvor 1 Monat8min
Ransomware-Ready Backups: Prove the Business Can Recover
BackupsCybersecuritySelf-hosting

Ransomware-Ready Backups: Prove the Business Can Recover

Use 3-2-1-1-0 without counting a fourth copy by accident. Test protected versions, recovery keys, actual RPO/RTO and a clean business restart.

Anichur Rahamanvor 1 Monat8min
Ready Before the Spike: A Capacity Plan for the Whole Request Path
AutoscalingLoad balancingServer scaling

Ready Before the Spike: A Capacity Plan for the Whole Request Path

Adding an app instance is not the same as serving another checkout. Budget readiness time, test the constrained tier and keep spare capacity for failure.

Anichur Rahamanvor 2 Monaten9min
Scaling Self-Hosted Commerce: From Daily Orders to a Tested Capacity Plan
Server scalingDevOpsPerformance

Scaling Self-Hosted Commerce: From Daily Orders to a Tested Capacity Plan

100,000 orders a day is a business goal, not a server specification. Translate traffic into peak work, remove the measured bottleneck and test failure capacity.

Anichur Rahamanvor 4 Monaten8min