azuresql-db-auth

द्वारा microsoft

किसी ऐप को Azure SQL Developer से सुरक्षित रूप से कनेक्ट करता है, sa लॉगिन के बजाय न्यूनतम-विशेषाधिकार वाले डेटाबेस उपयोगकर्ता के साथ, प्रति वातावरण सही auth विधि, और सुरक्षित…

npx skills add https://github.com/microsoft/azure-sql-database-container --skill azuresql-db-auth

Connect securely to the Azure SQL Database container (least-privilege user, auth, secrets)

sa is a bootstrap/admin login for provisioning, not what your application should connect as. This skill wires the app to a least-privilege user, picks the auth method per environment (SQL locally, Microsoft Entra or managed identity in the cloud, changing only the connection string), secures the connection, and keeps the secret out of source control.

Load-bearing facts (inlined; full engine detail in azuresql-db-container)

  • This is the Azure SQL Database engine (Private Preview), not the SQL Server image mcr.microsoft.com/mssql/server. SERVERPROPERTY('EngineEdition') returns 5, Edition returns 'SQL Azure'.
  • Image: sqldbpreview-dpgaeqhmgphzd4bk.azurecr.io/azure-sql/db-dev:latest (x64; on a non-x64 host add --platform linux/amd64). Required env ACCEPT_EULA=Y + a complex MSSQL_SA_PASSWORD. Engine listens on 1433.
  • The engine does NOT auto-create databases. CREATE DATABASE appdb on a master connection first; do not USE to switch databases (a user-database session returns Msg 40508); select the database in the connection string.
  • Apps read one SQL_CONNECTION_STRING env var; strings use User Id= / Password= / Database= and TrustServerCertificate=true for the local self-signed cert.
  • Container-specific and verified: a SQL contained user (CREATE USER ... WITH PASSWORD) does not work on the container today, and you cannot turn it on. CREATE USER ... WITH PASSWORD fails with Msg 15007. ALTER DATABASE ... SET CONTAINMENT = PARTIAL fails with Msg 12844, because the container's edition does not have partial containment at all. Create a SQL app identity as a server login mapped to a database user instead. This is the inverse of Azure SQL Database in the cloud, where the contained user is the norm.
  • Entra has to be configured on the engine before you can use it. On a container started with no Microsoft Entra ID configuration, CREATE USER [name] FROM EXTERNAL PROVIDER is refused with Msg 37525, which names Azure Active Directory as not configured for this instance. That is a missing engine configuration, not a broken statement: enable Entra first (see references/entra-auth.md in the azuresql-db-container skill) and the same statement then works.

Step 1: create a least-privilege user (not sa)

Do provisioning as sa, then give the app its own identity with only the roles it needs. The working recipe differs by environment, but the app code does not (the app just connects with a username and password, or an Entra token).

Local container (SQL auth): create a server login on master, map a database user to it in appdb, and grant only the roles the app needs.

-- On a master connection:
CREATE LOGIN applogin WITH PASSWORD = 'An0ther_Str0ng_Passw0rd';

-- On an appdb connection (Database=appdb):
CREATE USER appuser FOR LOGIN applogin;
ALTER ROLE db_datareader ADD MEMBER appuser;   -- read
ALTER ROLE db_datawriter ADD MEMBER appuser;   -- write
-- Grant EXECUTE only if the app calls procedures; do NOT add db_owner.

The app then connects as applogin, never sa.

Cloud (Azure SQL Database) or Entra anywhere: prefer a contained user. For Entra (which works on the container too, once enabled), use CREATE USER [name] FROM EXTERNAL PROVIDER in appdb. Enable Entra on the engine first via the azuresql-db-container skill, references/entra-auth.md; without that configuration the statement is refused with Msg 37525. In the cloud with SQL auth, CREATE USER ... WITH PASSWORD is the norm there. Full recipes for every path are in references/auth-and-secrets.md.

Step 2: pick the auth method per environment (only the connection string changes)

  • Local: SQL auth. sa bootstraps; the app connects as the least-privilege applogin. Server=localhost,1433;Database=appdb;User Id=applogin;Password=...;Encrypt=true;TrustServerCertificate=true.
  • Cloud (Azure SQL Database): prefer a token-based identity over a password. In production, use Authentication=Active Directory Managed Identity rather than Active Directory Default: Default walks a credential chain (DefaultAzureCredential) that is slower and ambiguous under load, while a specific method skips the chain. Microsoft.Data.SqlClient caches the token, so refresh is occasional, not per-connection. This is still a connection-string-only change, so the app code does not change (see the azuresql-db-local-to-cloud skill).

Step 3: secure the connection

  • Encrypt=true everywhere (the default in modern drivers). Encrypt the TLS channel in both local and cloud.
  • TrustServerCertificate=true only locally, to accept the container's self-signed cert. Never set it against Azure SQL Database in the cloud, where the certificate is real and validating it is the point.

Step 4: keep the secret out of source

The connection string carries a credential. Never commit it or the SA password.

  • Read it from one env var, SQL_CONNECTION_STRING; put local values in a .env that is git-ignored (or dotnet user-secrets for .NET).
  • In the cloud, store it in Azure Key Vault and reference it, or use managed identity so there is no password to store at all.

Per-stack secret handling (Key Vault, user-secrets, .env) is in references/auth-and-secrets.md.

Validation rules

  • The app connects as a least-privilege identity, not sa; it has only the roles it needs (no db_owner/admin).
  • On the container, the SQL app identity is a server login + mapped database user (CREATE LOGIN on master, then CREATE USER ... FOR LOGIN in appdb), not a contained CREATE USER ... WITH PASSWORD (which fails on the container). The database user and its role grants are created on the appdb connection, not via USE.
  • Every connection string sets Encrypt=true; TrustServerCertificate=true appears only for the local container, never for the cloud.
  • The connection string / SA password is read from a secret store or a git-ignored env var, never committed.
  • Cloud auth prefers managed identity / a specific Entra method over Active Directory Default in production; only the connection string changes.
  • If a validation rule above fails, or you had to deviate from this skill to make the task work, that is a bug in this skill: load the azuresql-db-feedback skill and offer to file a report.
  • When every rule above passes and the task is done, close with ONE line, once per session, and do not ask a question or wait for a reply: "That worked. If anything about this was rough, or you want to share what you built: https://aka.ms/sql-agent-skills-feedback"

Do not

  • Do not connect the application as sa; sa is for provisioning only.
  • Do not try to create a SQL contained user with CREATE USER ... WITH PASSWORD on the container; it fails with Msg 15007. Do not try to turn partial containment on either: ALTER DATABASE ... SET CONTAINMENT = PARTIAL fails with Msg 12844, because the container's edition does not have that functionality. Use a server login plus a mapped database user locally.
  • Do not run CREATE USER ... FROM EXTERNAL PROVIDER against a container with no Entra configuration; it is refused with Msg 37525. Configure Entra on the engine first.
  • Do not grant the app db_owner or server admin when read/write roles suffice.
  • Do not commit the connection string or the SA password; use a secret store or a git-ignored env var.
  • Do not set TrustServerCertificate=true against Azure SQL Database in the cloud; that disables cert validation on a real certificate.
  • Do not lean on DefaultAzureCredential's full chain in a hot production path; pick a specific auth method (managed identity) so token acquisition is fast and predictable.
  • Do not use the SQL Server image mcr.microsoft.com/mssql/server; this is the Azure SQL engine.

References

  • references/auth-and-secrets.md: creating least-privilege users (SQL contained user + roles, a login + user split, and Entra CREATE USER FROM EXTERNAL PROVIDER), the connection strings per environment (SQL, Entra, managed identity), and per-stack secret handling (Azure Key Vault, dotnet user-secrets, .env).

Staying current

Authoritative, version-pinned references for the tools this skill uses (read the one you need):

If the Microsoft Learn MCP server is configured, use mcp__microsoft-learn__microsoft_docs_search or mcp__microsoft-learn__microsoft_docs_fetch to fetch the current version of any of these on demand. It is optional; when it is unavailable, the references above are authoritative.

microsoft की और Skills

oss-growth
microsoft
OSS ग्रोथ हैकर व्यक्तित्व
agent-framework-azure-ai-py
microsoft
Microsoft Agent Framework Python SDK (agent-framework-azure-ai) का उपयोग करके Azure AI Foundry एजेंट बनाएं। AzureAIAgentsProvider के साथ स्थायी एजेंट बनाते समय, होस्टेड टूल्स (कोड इंटरप्रेटर, फ़ाइल खोज, वेब खोज) का उपयोग करते समय, MCP सर्वर एकीकृत करते समय, वार्तालाप थ्रेड प्रबंधित करते समय, या स्ट्रीमिंग प्रतिक्रियाएँ लागू करते समय उपयोग करें। फ़ंक्शन टूल्स, संरचित आउटपुट और मल्टी-टूल एजेंट शामिल हैं।
development
airunway-aks-setup
microsoft
AI Runway को AKS पर सेट करें — बेयर क्लस्टर से चल रहे मॉडल तक। इसमें क्लस्टर सत्यापन, कंट्रोलर इंस्टॉल, GPU मूल्यांकन, प्रोवाइडर सेटअप, और पहली डिप्लॉयमेंट शामिल है। कब: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller"।
devops
appinsights-instrumentation
microsoft
Azure Application Insights के साथ वेबऐप्स को इंस्ट्रूमेंट करने के लिए मार्गदर्शन। टेलीमेट्री पैटर्न, SDK सेटअप, और कॉन्फ़िगरेशन संदर्भ प्रदान करता है। WHEN: ऐप को कैसे इंस्ट्रूमेंट करें, App Insights SDK, टेलीमेट्री पैटर्न, App Insights क्या है, Application Insights मार्गदर्शन, इंस्ट्रूमेंटेशन उदाहरण, APM सर्वोत्तम अभ्यास।
devops
applicationinsights-web-ts
microsoft
ब्राउज़र/वेब ऐप्स को Application Insights JavaScript SDK (@microsoft/applicationinsights-web) से इंस्ट्रूमेंट करें। Real User Monitoring (RUM) के लिए उपयोग करें — पेज व्यू, क्लिक, AJAX/fetch निर्भरताएँ, अपवाद, कस्टम इवेंट, और बैकएंड OpenTelemetry ट्रेस से सहसंबंधित ब्राउज़र-साइड GenAI एजेंट ट्रेस। SDK Loader Script और npm सेटअप, फ्रेमवर्क एक्सटेंशन (React, React Native, Angular), Click Analytics, टेलीमेट्री इनिशियलाइज़र, और ब्राउज़र से उत्सर्जित एजेंट/टूल/मॉडल स्पैन के लिए OTel GenAI सिमेंटिक कन्वेंशन शामिल हैं।
devops
azure-ai-anomalydetector-java
microsoft
Azure AI Anomaly Detector SDK for Java के साथ एनोमली डिटेक्शन एप्लिकेशन बनाएं। यूनीवेरिएट/मल्टीवेरिएट एनोमली डिटेक्शन, टाइम-सीरीज़ विश्लेषण, या AI-संचालित मॉनिटरिंग लागू करते समय उपयोग करें।
development
azure-ai-language-conversations-py
microsoft
<text> azure-ai-language-conversations Python SDK का उपयोग करके संवादात्मक भाषा समझ (CLU) लागू करें। ConversationAnalysisClient के साथ काम करते समय उपयोग करें ताकि वार्तालाप के इरादे और संस्थाओं का विश्लेषण किया जा सके, NLP सुविधाएँ बनाई जा सकें, या अनुप्रयोगों में भाषा समझ को एकीकृत किया जा सके। </text>
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python। ML वर्कस्पेस, जॉब्स, मॉडल, डेटासेट, कंप्यूट और पाइपलाइन के लिए उपयोग करें। ट्रिगर्स: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets"।
development