Official company update
How We Migrated 300+ Databases from On-Prem SQL Server to Azure SQL Managed Instance
ApplyDjinn context
What else is visible for Edvantis?
These are observations in our catalog around the company, not claims made by the article. A publication does not establish why hiring, search interest, or share prices moved.
Current roles
17
30-day current-market scope
Company stories · 30d
1
1 official · 0 independent
Attention records · 7d
0
0 Google · 0 Polymarket
Coverage mix
Attention sources
No matching record in this window.
Open roles
17
Technical roles
16 of 17
Observed hiring change
1 observation
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Trend appears after another daily observation.
Current role mix
16 technical · 1 other
94% of currently observed roles are technical.
Vacancy history uses saved daily snapshots through 2026-10-15. News counts are dated publications; attention counts are matched records, not search volume or prediction probabilities.
What the source says
Publisher previewOver 300 SQL Server databases. Each with its own SSIS package — some running PowerShell, some wrapping VBScript, some calling .NET apps on local Windows servers. A financial data platform that had grown for years, serving data to consumers who needed it to be right, every day, on time. By the time we got involved, the platform was carrying years of accumulated technical debt. It had grown faster than anyone could refactor it, and there was more to fix than there was to build. On paper this was a SQL Server to Azure SQL migration. In practice, it became a full rebuild. What started as a move to Azure SQL Managed Instance — 300+ databases lifted off on-prem hardware — turned into a full re-architecture across three layers: scraper, pipeline, and database. Critical incidents dropped by 70–85%. End-to-end latency went from up to half an hour to under five minutes. And 300+ unique SSIS packages became one ADF pipeline. The problem was never where the system ran. It was how it was built. This article is about how we got there — what we delivered, what broke, and what we learned. - The System We Inherited - Why We Chose to Re-Architect, Not Migrate - Building the Three LayersThe Scraper LayerThe ADF Pipeline LayerThe Database Layer - What Broke Along the Way - Making Git the Source of Truth - SQL Server to Azure SQL Migration: Results Before and After - Conclusions - Takeaways - And one more thing… about AI
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