Nservicebus lego style by Indu Alagarsamy & John Simons
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NServiceBus version 5.0 introduced a new extensibility model based on pipelines that allows developers to easily add, remove, and replace steps in the message processing pipeline. The pipeline uses a Russian doll model where each step is contained within another until the smallest step is reached. Version 5.0 also provides an intuitive coding API and ensures steps are processed in a deterministic order.
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- Apply the performance loop of measuring, changing and validating to ensure performance actually improves and nothing breaks
- Gradually become more “performance aware” without costing an arm and a leg
An exception occurred - Please try again
If there is one certainty in software, it's that things fail. It's not a matter of if but when. All too often, we throw the error at our users, who have no means of solving the problem except for trying again. Alternatively, we build custom code to address edge cases that can't easily be fixed, and we do so with a dangerous lack of insight into the problem at hand.
In this session, we'll discuss the importance of system resilience and how you can equip your software with the ability to recover from failure scenarios. After exploring different types of failures and considering different resilience strategies, we'll dig deeper into the retry pattern by rolling our own. We'll also see existing options, such as Polly and NServiceBus, that can handle this complexity for you.
Join me and embrace your system's failures.
Tales from the trenches creating complex distributed systems
Developing complex distributed systems is hard. There are many challenges. How do we identify and tackle them? How do others do it?
Got the time?
“Have all my overdue invoices been paid?” Seems a simple enough question. But once you factor in the effects of time, even the simplest question can turn into a mess of edge cases and complicated batch jobs that never quite complete on time.
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This document discusses implementing an "Outbox" pattern using model checking to ensure correctness. It describes how traditional two-phase commit is insufficient to handle anomalies like duplication and reordering. The Outbox approach uses transport and data store transactions along with publishing to address edge cases. Model checking with TLA+ specification language is advocated over just automated tests to model system states and verify properties like no duplicated processing. Several demos are presented to illustrate issues like ghost messages, lost messages, and consistent output.
Reports from the field azure functions in practice
Serverless is the new hotness, but are Azure Functions right for your system?
Presented by Adam Jones, Chief Technology Officer for LHP Telematics, LLC based in Westfield, IN.
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We know it's useful to split up complex systems. We've seen the benefits of modular deployment of microservices. Dealing with only one piece of code at a time eases our cognitive load. But how do we know where to draw the service boundaries? In complex business domains, it's often difficult to know where to start. When we get our boundaries wrong, the clocks starts ticking. Before long, we hear ourselves say "it would be easier to re-write it".
Join Adam for practical advice on discovering the hidden boundaries in your systems. Help tease out the natural separation of concerns in a sample business domain. During 20 years of developing complex systems, Adam has had plenty of time to get things wrong. Learn to avoid the common pitfalls that can lead us down the path to "the big re-write".
Webinar recording: https://particular.net/webinars/finding-your-service-boundaries-a-practical-guide
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Monoliths are hard work. They're difficult to understand, brittle to change, time-consuming to test and risky to deploy. And you're stuck with the monolith's tech stack so you can't use any modern architectures or technologies.
Decomposing monoliths is easy if you take the right approach, and it results in a distributed solution with many small components. Those can be independently updated, tested and deployed, which means you release better software, more quickly.
You'll learn about:
- The right approach to decomposition
- the feature-driven approach, powered by Docker and NServiceBus
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Daniel Marbach shows the differences between theory and practice when building a reliable message pump that consumes and produces messages from queues.
Share the insight of ServiceInsight
Trygve Lorentzen shows how he designs systems that the developers, support team, and decision makers at ProTeria can easily understand with the help of ServiceInsight.
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William Brander and Sean Farmar show how the monitoring game changes when a system becomes distributed and you start delving into the world of microservices.
Learn:
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* The aspects of monitoring that affect asynchronous messaging systems
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There are times when you should consider setting up secure communications between your software components across network boundaries.
Here are just a few:
* Your application is enormous (e.g., the global deployment of a marketing site targeting billions of people)
* Remoteness (e.g., your company has branch office locations around the globe)
* Your network constraints prevent communication (e.g., your machines in Azure Cloud Services are unable to talk to each other directly)
* You don't know the network conditions (e.g., IoT or mobile devices)
Yves Goeleven and Sean Feldman show how to overcome such challenges using NServiceBus.
Making communication across boundaries simple with Azure Service Bus
There are times when you should consider setting up secure communications between your software components across network boundaries.
Here are just a few:
* Your application is enormous (e.g., the global deployment of a marketing site targeting billions of people)
* Remoteness (e.g., your company has branch office locations around the globe)
* Your network constraints prevent communication (e.g., your machines in Azure Cloud Services are unable to talk to each other directly)
* You don't know the network conditions (e.g., IoT or mobile devices)
Yves Goeleven and Sean Feldman show how to overcome such challenges using Azure Service Bus.
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There are many resources out there that walk you through the process of setting up distributed systems, queuing and asynchronous processes — with and without NServiceBus.
Despite all the online education, teams continue to make the same common mistakes when designing and implementing microservices architecture. While the mistakes can have devastating consequences, they are easy to avoid when approached intentionally.
Jeffrey Palermo and Justin Self share their experiences in overcoming common microservices pitfalls and show how NServiceBus naturally encourages better architecture, such as easy adherence to SOLID principles.
Learn:
* What a microservice really is (and is not)
* What mistakes teams commonly make
* How to avoid the pitfalls and design more robust and scalable architecture
* How to equip your team for a microservices architecture
Connect front end to back end using SignalR and Messaging
If you've ever worked on a message-based system, at some point you have probably asked the question: How can I connect my asynchronous back-end to the front-end?
This webinar is focused on answering this non-trivial question, outlining scenarios and solutions available in our toolbox to easily make the back-end talk to the front-end in a way that is both robust and scalable.
The cornerstone of the system we will study in this webinar is SignalR, a library that facilitates adding bi-directional communication between the server and the browser over the WebSocket protocol. We will also see how NServiceBus messaging framework can be used in combination with SignalR.
When the basic scenario is up and running, we will venture into making the system scale to many server instances. We will introduce the concept of a backplane that forwards messages to all server instances so that a client connected to one instance can receive messages sent from another one. We will implement the SignalR backplane using Redis, a popular open source in-memory key-value store.
Learn how to:
* Connect back-end systems to the frontend
* Use correlation, and why it's important
* Use SignalR with message-based systems
* Use SignalR with NServiceBus
* Achieve real time notifications in a JavaScript SPA
* Provide user feedback in web applications
Async/Await: NServiceBus v6 API Update
A lot is changing in NServiceBus v6, especially with the changes required to support asynchronous message processing with Async/Await.
Daniel Marbach shows how the v6 API update helps to avoid common Async/Await pitfalls and makes your code ready for the asynchronous APIs in the cloud.
Learn how to:
* Leverage the new asynchronous APIs to avoid common Async/Await pitfalls
* Maximize the message throughput by using asynchronous APIs concurrently in your handlers
* Write synchronous code in the new asynchronous message handlers
* and last but not least, see how this relates to delicious Swiss Chocolate.
If you're an existing NServiceBus user and you want to be well prepared to migrate your solutions to the latest version of NServiceBus, or you're a complete newbie to NServiceBus and want to see how it can help you avoid common Async/Await pitfalls — don't miss this webinar!
Async/Await: TPL & Message Pumps
Daniel Marbach showa how to combine Async/Await together with the Task Parallel Library to create a message pump for a service bus.
Learn how to:
* Deal with non-true asynchronous code paths
* Avoid unpleasant surprises when you combined Async/Await with the Task Parallel Library
* Achieve "graceful" shutdowns by applying cancellation to the asynchronous operations
* Achieve throttling with your concurrent operations without blocking unnecessarily
If you want to learn how a message pump built can be built with Async/Await and the Task Parallel Library looks like — don't miss this webinar!
Async/Await Best Practices
Daniel Marbach shows how to avoid common pitfalls in asynchronous code bases.
Learn how to:
* Differentiate between IO-bound vs CPU-bound work and how this relates to Threads and Tasks
* Avoid serious production bugs as a result of asynchronous methods returning void
* Opt-out from context capturing when necessary
* Deal with synchronous code in the context of asynchronous code
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Andrea Saltarello shows how to evolve systems architecture leveraging CQRS principles and NServiceBus Sagas.
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Bob Boule
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Nservicebus lego style by Indu Alagarsamy & John Simons
- 1. NServiceBus Lego style - John Simons - Indu Alagarsamy
- 2. A Brief History of Extensibility in NServiceBus - Message Modules in v2 (removed in v5) - Message Mutators in v3 - Unit of Works in v4
- 3. Extensibility awesomeness in v5 - Remove, Add, Replace incoming or outgoing steps Step A Step B Step C Step D Step E
- 4. The Russian Doll Model “Each doll is encompassed inside another until the smallest one is reached.”
- 5. Extensibility awesomeness in v5 - Intuitive coding API Uses IDisposable Now calls the next step in the pipe
- 6. Extensibility awesomeness in v5 - Deterministic order of processing
- 7. The message processing pipeline What your endpoint does when it receives a message What your endpoint does before it sends a message
- 10. Demo Time
- 11. In Summary - How to get the extensibility you are after - NServiceBus API support in version 5.0 to support extensibility - From MessageModules to Pipelines - Steps, Behaviors and Contexts. - Adding and Replacing pipeline steps
- 12. Everything is awesome Thank You