Start from the problem, then read the right notes.

A diagnostic method for Azure Application Gateway 502 errors that separates DNS resolution, probes, backend settings, TLS, hostnames, certificates and real application behavior.

Prepare an Azure Private Endpoint production rollout with a validation matrix that separates DNS, routing, public access closure, TLS, application dependencies and tests from Azure and on premises.

Compare the roles of Azure DNS Private Resolver, on-premises DNS forwarders, Azure private zones and forwarding rulesets to build readable hybrid name resolution.

Build an operational drift reading across Terraform, Private Endpoint, private DNS, CI runners, and validation evidence before a private Azure path breaks in production.

Build useful synthetic probes for DNS, TLS, Application Gateway, WAF and Private Endpoint so private Azure paths fail with evidence before production incidents.

A short query to track synthetic probe failures and separate DNS, TLS, WAF or Application Gateway symptoms on an Azure private path.

Qualify a failure across Application Gateway, WAF, internal APIM and a private backend by separating DNS, routing, policy, identity and logs before any fix.

A short query to see whether a private API request is blocked by Application Gateway WAF, received by APIM or missing from the expected path.

Build an operational runbook for Azure Container Apps private ingress failures by separating DNS, ingress mode, revision routing, application logs and rollback evidence.

A short query to correlate Azure Container Apps system and console logs when private ingress, probes or revision traffic fail.

Build an operational runbook for AKS private ingress failures by separating DNS, Application Gateway, ingress controller, Kubernetes service endpoints, pod readiness and rollback evidence.

A short query to read ingress controller and application logs together when a private AKS route returns 502, timeouts or no endpoints.

Build an operational runbook for private Azure Functions failures by separating DNS, Private Endpoint, access restrictions, private storage, Application Insights logs and rollback evidence.

A short query to separate DNS, private access, Functions runtime and application exceptions during a private HTTP incident.

Build an operational runbook for App Service private access failures by separating DNS, Private Endpoint, access restrictions, Application Gateway, application logs and rollback evidence.

A short query to separate WAF, gateway, private DNS, access restrictions and App Service logs during a private access incident.

An operational runbook for Azure Storage private access failures by separating DNS, Private Endpoint, firewall, identity, logs and rollback evidence.

A short query to separate identity, firewall, public endpoint and wrong subresource when private Azure Storage access is denied.

An operational runbook for Azure Storage private access failures by separating DNS, Private Endpoint, firewall, identity, logs and rollback evidence.

A short query to separate identity, firewall, public endpoint and wrong subresource when private Azure Storage access is denied.

An operational runbook for Azure SQL private access failures by separating DNS, Private Endpoint, firewall, identity, SQL logs and rollback evidence.

A short query to separate firewall, authentication, public endpoint and missing connection evidence during a private Azure SQL incident.

An operational runbook for Azure Service Bus private access incidents by separating DNS, Private Endpoint, identity, firewall, metrics, logs and rollback.

A short query to separate missing connection evidence, identity denial, expired SAS and processing errors during a private Service Bus incident.

Build an operational drift reading across Terraform, Private Endpoint, private DNS, CI runners, and validation evidence before a private Azure path breaks in production.

Design an Azure Terraform backend based on a private Storage Account with CI identity, controlled network access, locking, separate bootstrap, and a diagnostic runbook when init or plan fails.

Build an operational drift reading across Terraform, Private Endpoint, private DNS, CI runners, and validation evidence before a private Azure path breaks in production.

An operational runbook for qualifying Azure App Service or Functions outbound failures by separating VNet Integration, DNS, UDR, NSG, NAT, logs and rollback.

An operational runbook for qualifying Azure outbound incidents involving NAT Gateway, SNAT ports, UDR, NSG, firewalls, allowlists and rollback.

A production runbook for qualifying Azure Container Apps outbound failures by separating DNS, UDR, NSG, NAT Gateway, firewall, identity, logs and rollback before changing the application.

A production runbook for qualifying an Azure egress failure with Firewall DNS proxy, FQDN resolution, UDRs, application rules, logs, validation and rollback before broadening traffic.

A production runbook for qualifying a blocked Azure flow with Network Watcher, NSG Flow Logs, effective security rules, routes, firewall, KQL evidence, validation and rollback before opening a broad rule.

Build useful KQL queries to identify requests blocked by Azure Web Application Firewall on Application Gateway, with action, ruleId, URI, client IP, hostname and time window.

A KQL analysis method to qualify an Azure WAF block, distinguish attack, noise and application false positive, then document the decision before any exclusion.

Move from a qualified WAF block to a targeted OWASP/CRS exclusion in an Azure Application Gateway policy, with scope, variable, rule, validation and rollback.

Know when to add an Azure WAF custom rule to block or allow precise traffic before managed OWASP/CRS rules, without hiding useful security signals.

Apply a temporary Azure WAF custom rule with priority, KQL evidence, business validation and rollback, without permanently hiding managed-rule signals.

A production runbook for qualifying an Azure WAF policy before switching to Prevention with KQL evidence, change scope, application validation, rollback window and an operable decision.

A production runbook for documenting an Azure WAF change with KQL evidence, policy diff, application probes, security validation, merge decision and rollback.

A short command to list custom rules in an Azure WAF policy with priority, action and type before an urgent change.

Build useful alerts by connecting signal, diagnosis, scope, decision and rollback path instead of accumulating noisy notifications.

A production runbook for qualifying an Azure Monitor alert storm after deployment by separating real signal, noise, regression, threshold drift, action group behavior and rollback.

A production runbook for deciding an Azure rollback after deployment with Azure Monitor, KQL, impact correlation, regression evidence, validation and controlled recovery.

A production runbook for qualifying an Azure Managed Grafana dashboard or alert with Azure Monitor datasource, managed identity, Log Analytics permissions, variables, traces, validation and rollback before changing KQL queries.

Turn AWX into a controlled operations tool with bounded job templates, limited variables, separated credentials, explicit inventories and post-action validation.

Organize an Ansible repository used by AWX with bounded playbooks, reusable roles, separated inventories, readable variables, versioned collections and operations documentation.

A production runbook for qualifying a failed AWX job with Ansible events, changed tasks, affected hosts, variables, limited rerun, validation and rollback.

A short sequence to collect status, variables, affected host and error events before rerunning an AWX job.

Build operable rotation for secrets, certificates, and application identities with dependency inventory, evidence, change windows, monitoring, and rollback.

A short query to watch 401, 403, and 500 errors after rotating an application secret or service identity.

Build a runbook for Key Vault, Storage or private API access failures with managed identity, RBAC, private DNS, logs and real execution evidence.

A short query to separate identity denial, network path and source address when an Azure workload can no longer access Key Vault.

A production runbook for qualifying an Azure OIDC authentication failure in a CI pipeline with federated credentials, claims, roles, logs, validation and rollback.

Design a private AI agent with technical guardrails around internal sources, triggered actions, identities, logs, human validation and network boundaries.

A production runbook for qualifying an AI agent that selects the wrong tool, acts without evidence or hides an action behind a plausible answer.

A production runbook for exposing MCP tools to an AI agent while keeping action scope, approvals, identities, logs, evaluation and rollback under control.

A production runbook for qualifying MCP server drift with tool manifests, schemas, identity, secrets, network path, traces, evaluations, validation and rollback before reauthorizing an AI agent.

A runbook for validating an AI agent before real action by separating sources, tools, identity, evaluation cases, human approvals, logs and rollback.

A production runbook for qualifying a new AI agent tool with contract review, scoped identity, dry run, traces, approvals, evaluation cases and rollback before enabling real actions.

A production runbook for qualifying the handoff from a Microsoft Foundry agent to Azure Automation, AWX, Azure DevOps or an MCP tool with contract, identity, traces, dry run, human validation and rollback.

A production runbook for qualifying structured AI agent tool output with schema, sources, diff, idempotence, policy, traces, human validation and rollback before writing to production.

A production runbook for defining latency budgets, idempotency, retries, circuit breakers, traces and rollback for an MCP tool called by an AI agent.

A production runbook for attributing token and tool-call growth, isolating amplification, enforcing an execution budget, and validating or rolling back an AI agent release.

A production runbook for comparing a candidate agent with the active runtime on the same requests without duplicating actions, then deciding promotion, canary or rollback.