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Engineering decisions in context

Explore performance investigation, release governance, and reporting architecture from a centralized multi-school ERP engagement delivered through NeoSOFT.

Investigating Performance and Reliability in an Enterprise ERP

Within the school ERP engagement, Redis memory growth, PostgreSQL CPU pressure, materialized-view refresh load, query amplification, middleware latency, and connection-pool concerns were investigated. This case separates observation, immediate stabilization, later investigation, proposed follow-up, and measured results where actually available.

Finding

Immediate stabilization actions recorded for Redis cleanup/capacity and selected PostgreSQL capacity/index work.

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Defining Release Governance for Enterprise Engineering Teams

For the school ERP program, contribution focused on making SRS sign-off, walkthroughs, technical-flow ownership, architecture review, QC evidence, PR governance, environment access, release impact/rollback, production checks, and RCA expectations explicit.

Finding

Made review responsibilities and release expectations explicit.

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Designing Reporting Across ERP Workflows

Operational and executive reports needed consistent business definitions, freshness choices, access hierarchy, and refresh ownership — distinguishing live, near-real-time, materialized-view, and nightly-summary paths, and separating existing portal/Metabase reporting from proposed embedded Metabase work.

Finding

Clarified reporting decisions around definitions, freshness, query cost, access, and refresh ownership.

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