Sovereignty
SaaS-only monitoring tools cannot run inside sovereign-data environments. Sending core banking telemetry to a US cloud provider is a non-starter under DORA, BDDK, BaFin, and GDPR.
Real-time SQL Server monitoring, AI-augmented query analysis, and audit-ready telemetry — deployed inside your perimeter. Built by DBAs who've been on-call in regulated environments.
Sovereignty, cost, and visibility — the three pressures that turn database observability from an engineering tool into a board-level risk.
SaaS-only monitoring tools cannot run inside sovereign-data environments. Sending core banking telemetry to a US cloud provider is a non-starter under DORA, BDDK, BaFin, and GDPR.
Legacy DPM products charge thousands per instance per year. For a bank with 200+ SQL Server instances that's a six-figure annual line item in monitoring alone — with no flexibility for negotiation.
Most monitoring tools were architected before AI was viable. DBAs at financial institutions still chase slow queries reactively — after a payment gateway has missed SLA — instead of catching them at the plan-cache level before a customer notices.
Six workloads where sovereign deployment, AI-augmented analysis, and agentless, low-impact monitoring are non-negotiable.
SQL Server clusters running deposit, lending, and payment systems demand zero-downtime observability. Avesys DPM watches wait stats, blocking, and Query Store agentlessly — over a read-only SQL connection, with no software installed on your monitored instances. Alerts route to your existing PagerDuty, Slack, or webhook channels with no cloud relay.
Fraud and AML queries scan hundreds of millions of rows per minute. When a batch slows from 4 minutes to 40, the regulatory clock is already running. Avesys flags plan regressions and missing indexes the moment they happen — not at the morning standup.
Basel III, MiFID II, and COREP / FINREP reporting runs are time-critical. Avesys baselines normal report-run durations and alerts on deviations before a submission deadline is at risk.
Production cardholder and personal data should not sit in dev or UAT under PCI DSS or GDPR Art. 32. DataForge discovers PII automatically, masks it consistently across referential dependencies, and produces compliant test environments in minutes.
DORA requires institutions to prove that critical ICT services don't introduce concentration risk. Avesys runs entirely on your hardware, and the AI runtime is pluggable: a local model for full sovereignty, or your LLM provider of choice when concentration risk isn't material. DORA-aligned by architecture, not by attestation.
Every monitoring action, alert acknowledgment, and configuration change in Avesys is logged with operator attribution and timestamps. When BDDK, BaFin, or your auditor asks "who changed this threshold and when?" — the answer is one query away.
What we ship today, what's coming next, and how it lands inside your existing estate.
A single pane of glass across on-prem clusters, hybrid estates, and DR sites. SQL Server 2014 through 2025, Windows or Linux, monitored from one Avesys instance.
Database Compare generates schema-diff deployment scripts that can be reviewed, signed off, and version-controlled before they touch production. SQL Version Control keeps the schema in Git alongside your application code.
We don't ask you to lift-and-shift to a new platform. Avesys runs alongside your existing SQL Server estates — phased migration on your timeline, not ours.
"We are our customers. We built the tool we wished existed."
The founders previously built and operate EST10, an enterprise data-management consultancy that has spent five years running mission-critical SQL Server estates for regulated, large-enterprise clients. Avesys is the productization of that experience.
A platform that doesn't burn six figures a year, doesn't ship telemetry to a US cloud, and doesn't require a six-month implementation just to alert on a missing index.
This isn't a feature checklist against other vendors. It's the bar a serious financial-services platform clears — and what we built Avesys to deliver from day one.
Deployed entirely inside the customer perimeter. No third-party cloud relay. No telemetry leaves the bank's network. DORA Article 28 by design.
Runs in fully isolated environments. For air-gapped deployments, AI uses a local model on your hardware — no internet dependency for any monitoring, alerting, or AI capability. (Plug in a cloud LLM only when your network policy permits it.)
Query analysis, plan-regression detection, and incident summaries powered by a domain-tuned model. Run it on your own hardware for full sovereignty, or plug in Gemini, Claude, OpenAI, or your provider of choice. Not a feature flag retrofitted into a 20-year-old product.
Engineered for SQL Server clusters running core banking, payment switching, and trade reconciliation. Agentless by architecture — nothing is installed on your monitored boxes, and the read-only DMV queries Avesys runs are measured in fractions of a percent CPU.
Every action, threshold change, and alert acknowledgment is logged with operator attribution and timestamps. The auditor's questions answer themselves.
A bank with 200 SQL Server instances should not spend a six-figure sum on monitoring. Pricing scales linearly, predictably, and remains a four-figure budget item — not a board-level discussion.
Drop in your instance count and current annual spend. We'll show what an Avesys deployment looks like — and what three years of consolidation saves.
Numbers stay in your browser. Nothing is logged or submitted.
A 30-day extended pilot for financial-services design partners — building on our standard 14-day trial. Up to 10 instances, full Avesys DPM, founder-led implementation. In exchange we ask for a co-authored case study at the end — only if you're satisfied.
If we're not a fit for your estate, we'll tell you. If we are, you'll leave the call with a deployment plan and a rough number.