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API-Based Power Platform Solutions: Connect Apps and Automate Work

Introduction A sales team updates one system, finance checks another, and someone copies the same order details into both. API-based Power Platform solutions can reduce this manual work by connecting apps and services through supported connectors, custom connectors, or direct API calls. The right approach depends on the API, the job, and your organization’s security…
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Secure Power Apps External API Integration: Protect Credentials and User Data

Introduction An external API can add useful features to a Power App, such as live shipping details or customer records. But a weak connection can expose credentials or send private data to the wrong people. Secure Power Apps external API integration starts with choices about identity, access, and where each request is handled. Security doesn’t…
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Production API Reliability: Build Services Customers Can Trust

Introduction A slow or unavailable production API can stop a checkout, delay a shipment, or break another service. Customers feel the impact in their work, so API reliability affects trust and revenue as well as infrastructure metrics. Reliable APIs deliver successful, timely, correct responses and keep working when traffic rises or a dependency fails. Teams…
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Making ASP.NET Core APIs Production Ready: Reduce Failures Before Release

Introduction Making ASP.NET Core APIs production ready takes more than confirming that an endpoint returns the right response. An API can work on a developer’s machine yet fail under traffic, expose private data, or leave the team guessing during an outage. A dependable release needs secure settings, clear error responses, useful monitoring, and tested deployment…
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AI Agent Testing & Monitoring: Catch Failures Before They Reach Users

Introduction An AI agent can sound certain and still fail at its job. It might choose the wrong tool, change a record without permission, or repeat the same action until a task stalls. AI Agent Testing & Monitoring must check the agent’s actions and results, not just whether its final response sounds good. Testing helps…
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Evaluating Enterprise AI Agents: A Framework to Prove Performance and ROI

Introduction An AI agent can look impressive in a polished demo, then fail to finish a routine business task. It may find the right form but enter the wrong data, or give a confident answer without making the promised change. That’s why evaluating enterprise AI agents takes more than checking answer quality. You need to…
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Azure Identity Patterns That Reduce Credential Risk

Introduction An employee signing in, a customer opening an app, and a service reading a file need different identities. Choosing the right Azure identity patterns helps protect credentials and control access. Microsoft Entra ID is the current name for Azure Active Directory (Azure AD). Start by identifying the actor, then match its sign-in method and…
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Secretless Azure Applications: Cut Credential Risk Without Losing Control

Introduction A client secret copied into an app setting or pipeline variable can outlive its purpose. If it leaks, someone may use it until you find and replace it. Secret rotation also takes time and can break apps that still depend on an old value. Secretless Azure applications reduce that burden by using identities provided…
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Reliable Enterprise Automation: Build Workflows That Scale Without Breaking Trust

Introduction Automating an invoice check can save time; a brittle workflow can also send the wrong payment through several systems before anyone spots the error. Reliable enterprise automation improves speed and consistency while keeping mistakes contained. To get there, teams need to choose suitable processes, plan for failure, control access and changes, and track results…
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High-Volume Power Automate Workflows: Scale Throughput Without Bottlenecks

Introduction A flow that handles ten records in seconds may struggle with ten thousand. As volume grows, runs can slow down, connectors can throttle requests, and a single bad record can disrupt a whole batch. High-volume Power Automate workflows need a design based on real demand, with safe recovery and clear ways to spot problems.…
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Power Platform and Azure Integration: Build Secure, Scalable Business Solutions

Introduction A low-code app can be ready in days, yet still depend on data locked in enterprise systems. Power Platform and Azure integration connects apps and workflows to that data, APIs, and services without building a fragile web of one-off links. Power Platform handles app and workflow experiences; Azure can provide API management, processing, messaging,…
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Employee Onboarding Solution: Build a Faster, More Consistent New-Hire Experience

Introduction A new hire can arrive ready to contribute and still spend the first day waiting for a laptop, account access, or clear instructions. An employee onboarding solution brings tasks, information, training, and key conversations into a coordinated process that starts after offer acceptance and continues through the first months on the job. The right…
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Failure Handling in Event-Driven Systems: Recover Without Losing Events

Introduction An order event can arrive twice, show up late, or fail after a payment has already gone through. That can leave a customer with a charged card and no order confirmation, while downstream services wait for updates that never arrive. Failure handling in event-driven systems takes more than a retry setting. Producers, brokers, consumers,…
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Reliable Event-Driven Applications: Design for Safe Recovery

Introduction An order event can reach a shipping service in seconds, while payment checks run on their own schedule. That freedom makes event-driven applications easier to scale and change. But a queue or broker alone can’t guarantee reliable results. Events can arrive late, more than once, out of order, or not at all. A producer…
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Reliable F&O Data Exchange: Build Integrations That Recover Safely

Introduction A sales order arrives with the wrong customer ID, or an inventory update fails before posting. In Dynamics 365 Finance and Operations (F&O), unreliable data exchange can delay fulfillment, disrupt financial posting, and leave teams working from different figures. Reliable F&O data exchange starts with the right pattern for each flow. It also depends…
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Troubleshooting F&O Integration Failures to Restore Reliable Data Flows

Introduction A failed Dynamics 365 Finance and Operations (F&O) integration can stall order processing, leave records out of sync, or make it unclear which system has the right data. Fast diagnosis matters because a blind retry may create duplicates or hide the original cause. Failures can involve OData, the Data Management Framework (DMF), batch jobs,…
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Reliable BC API Integrations: Keep Business Central Data in Sync

Introduction A dependable BC API integration keeps finance, sales, inventory, and other systems working from consistent data. A fragile connection can delay work, create duplicate records, and leave support teams chasing errors. Reliability depends on more than a successful API call: access control, data design, error handling, monitoring, and planned updates all matter. Reliable BC…
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Business Central External Integration Architecture: Build Secure, Scalable Connections

Introduction A sales order can touch five systems before it reaches a customer: Business Central, an online store, a payment service, a shipping provider, and a reporting tool. Business Central external integration architecture determines how those systems share data without creating connections that are brittle, hard to secure, or difficult to support. The design affects…
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Production Plugin Design: Build Extensions That Stay Reliable at Scale

Introduction Plugins let teams add useful features without rebuilding an entire application. But a poorly designed extension can crash its host, expose sensitive data, or make upgrades risky. Production plugin design means building extensions that are safe to install, predictable to run, easy to monitor, and maintainable over time. This article focuses on software plugins…
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Diagnosing Slow D365 CE Plugins: Find the Bottleneck and Cut Save Delays

Introduction A record save starts taking longer after a D365 CE plugin is added. The plug-in looks like the obvious cause, but its code may not be where most of the wait occurs. The delay can come from the browser, network, Dataverse pipeline, data requests, or an external service. A useful diagnosis separates plug-in run…
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D365 Finance and Operations Custom Service: Build a Secure Integration

Introduction A D365 Finance and Operations custom service lets an external app run selected business operations without signing in to the D365 interface. It helps when standard endpoints don’t support the data or logic your integration needs. To build one, define the request and response, add the business logic, set up Microsoft Entra ID authentication,…
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Dataverse Performance Planning: Build a Faster, Scalable Power Platform Environment

Introduction A Dataverse app can pass acceptance testing and still slow down when more users, records, flows, and integrations arrive. Dataverse performance planning helps you spot that risk early and set a clear way to test and track results. The work starts with a realistic workload, then connects app and data design to capacity, testing,…
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Designing Dataverse for Growing Data Volumes: Keep Apps Fast and Costs Predictable

Introduction A Dataverse environment can feel fast when it holds a few thousand records, then slow down as years of activity and integrations add more. Storage, query speed, and day-to-day support can all become harder to manage if growth is treated as a future problem. Designing Dataverse for growing data volumes starts with choices about…
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AI Approval Workflow Architecture: Build Safer, Faster Decisions

Introduction An AI system can approve a routine request in seconds, but a wrong decision may cost money, harm a customer, or break a rule. AI approval workflow architecture sets the boundaries: which decisions AI can make, which need human review, and how each outcome gets recorded. An AI approval workflow is the coordinated path…
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Designing Human-in-the-Loop AI Agents for Safer, More Reliable Decisions

Introduction An agent can plan a refund, update an account, or send a message in seconds. If it acts on the wrong record, the damage may be hard to undo. Designing human-in-the-loop AI agents helps combine machine speed with human judgment by placing people where their decisions can change the outcome. A human-in-the-loop AI agent…
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Secure AI Agent Tool Access Without Expanding Your Attack Surface

Introduction An AI agent can do more than write a reply. Give it tools, and it may read files, query databases, send messages, or change settings. Every connection can create a path to sensitive data or actions with real consequences. The model may choose which tool to call, but it shouldn’t set the rules for…
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