Handling Long-Running Tasks in .NET Core

Explore asynchronous programming in .NET Core, learn how awaiting long running tasks prevents blocking, and implement async methods returning Task to keep applications responsive.

Explore how to use async and await in dotnet core to run long running tasks without blocking the main thread, execute tasks concurrently, and measure elapsed time with a stopwatch.

Explore how asynchronous input/output operations enable non-blocking tasks and web requests in .NET Core. The lecture demonstrates fetching data from URLs with HttpClient and Task.WhenAll, returning the content as strings.

Learn to handle errors in asynchronous code with aggregate exceptions and inner exceptions, and implement cancellation using cancellation tokens to stop long-running tasks gracefully.

Explore how to boost performance in .NET Core by running code in parallel with multiple threads, using Task Parallel Library (TPL) and parallel CLOs, and address race conditions and deadlocks.

Learn to use the Task Parallel Library in .NET Core to create and run tasks with Task.Run and lambdas, wait for all with Task.WhenAll, and improve concurrent performance.

Explore how to use the task parallel library in dotnet core to implement parallel loops and linq queries, improving performance on large data sets.

Leverage data parallelism in dotnet by distributing data across multiple cores and performing parallel Linq operations with AsParallel. Use locking to protect shared resources and ensure thread safety.

Explore how message queuing enables asynchronous communication in .NET Core using RabbitMQ. Learn to install Erlang and RabbitMQ, enable management, and publish messages with the .NET client.

Learn how to implement a basic RabbitMQ consumer in .NET Core by connecting to a local broker, declaring a queue, and processing received messages with an event-driven handler.

Configure RabbitMQ in .NET Core to use manual acknowledgements (autoAck=false) and explicitly acknowledge messages after processing, preventing loss or duplicate delivery even during failures, with simulated processing delay.

Learn to monitor and debug RabbitMQ apps in .NET Core with the management plugin, logging, and client events to react to connection shutdowns and failed deliveries.

Discover how .NET core background services run long tasks in the background, such as sending emails and data processing, without blocking the main thread, enabling scaling and logging.

Implement a .NET core background service by deriving from the background service base class, overriding execute async, logging every 10 seconds, and configuring it in a host builder.

Learn how to schedule and run background tasks in .NET applications using Hangfire, including persistent storage, recurring and delayed jobs, and easy integration with .NET frameworks.

Hangfire's simple API schedules tasks, enabling recurring jobs every minute with a name and cron syntax, and delayed jobs after ten minutes via the background job schedule method.

Design and implement high performance .NET core applications by optimizing memory allocation, embracing asynchronous programming with async/await, and optimizing data access with caching and reduced database round trips.

Explore techniques for handling long running tasks in dotnet core, including parallel loops and Rabbitmq, and apply best practices to build high-performance, reliable applications while planning ongoing practice and upskilling.