It’s that time of the year where, for me, talk proposals are submitted. I also tend to take it as an opportunity to refresh and rework talks.
This year I’ve submitted talks for DDD, DDD North, and NDC London (this one’s a bit of a long shot), and am keeping my eye out for other opportunities. I’ll also be giving talks at the Derbyshire .NET User Group, and DDD Nights in Cambridge in the autumn.
Voting for both DDD and DDD North is now open so, if you’re interested in any of the talks I’ve listed below, please do vote for them at the following links:
- Vote for DDD (Reading) sessions – voting closes 10th August 2016 at 2259; conference is on 3rd September 2016
- Vote for DDD North sessions – voting closes 16th August 2016 at 2300; conference is on 1st October 2016
Here are my talks. If you’d like me to give any of them at a user group, meetup, or conference you run, please do get in touch.
Talk Title: How to speed up .NET and SQL Server web apps
Performance is a critical aspect of modern web applications. Recent developments in hardware, software, infrastructure, bandwidth, and connectivity have raised expectations about how the web should perform.
Increasingly this attitude is applied to internal line of business apps, and niche sites, as much as to large public-facing sites. Google even bases your search ranking in part on how well your site performs. Being slow is no longer an option.
Unfortunately, problems can occur at all layers and in all components of an application: database, back-end code, systems integrations, local and third party services, infrastructure, and even – increasingly – the client.
Complex apps often have problems in multiple areas. How do you go about tracking them down and fixing them? Where do you begin?
The answer is you deploy the right tools and techniques. The good news is that generally you can do this without changing your development process. Using a number of case studies I’m going to show you how to track down and fix performance issues. We’ll talk about the tools I used to find them, and the fixes that resulted.
That being said, prevention is better than cure, so I’ll also talk about how you can go about catching problems before they make it to production, and monitor to get earlier notification of trouble brewing.
By the end you should have a plethora of tools and techniques at your disposal that you can use in any performance analysis situation that might confront you.
With web applications becoming ever more interactive, and the meteoric rise in popularity of mobile browsers, the kind of performance and resource usage issues that once only concerned back-end developers have now become common currency on the client as well.
In this session we’ll look at how these runtimes manage memory and how you can get the best out of them. We’ll discuss the “classic” blunders that can trip you up, and how you can avoid them. We’ll also look at the tools that can help you if and when you do run into trouble, both on the client and the server.
Talk Title: Optimizing client-side performance in interactive web applications
Devices nowadays offer a wide variety of form factors and capabilities. On top of this, connectivity – whilst widely available across many markets – varies considerably in quality and speed. This presents a huge challenge to anyone who wants to offer a great user experience across the board, along with a need to carefully consider what actually constitutes “the board”.
In this session I’m going to show you how to optimize the client experience. We’ll take an in depth look at Chrome Dev Tools, and how the suite of debugging, data collection and diagnostic tools it provides can help you diagnose and fix performance issues on the desktop and Android mobile devices. We’ll also take a look at using Safari to analyse and debug web applications running on iOS.
Talk Title: Complex objects and microORMs: an introduction to the Dapper.SimpleLoad and Dapper.SimpleSave extensions for StackExchange’s Dapper microORM
Dapper (https://github.com/StackExchange/dapper-dot-net) is a popular microORM for the .NET framework that provides simple way to map database rows to objects. It’s a great alternative when speed is of the essence, and when you just don’t need the functionality offered by EF.
But what happens when you want to do something a bit more complicated? What happens if you want to join across multiple tables into a hierarchy composed of different types of object? Well,then you can use Dapper’s multi-mapping functionality… but that can quickly turn into an awful lot of code to maintain, especially if you make heavy use of Dapper.
Step in Dapper.SimpleLoad (https://github.com/Paymentsense/Dapper.SimpleLoad), which handles the multi-mapping code for you and, if you want it to, the SQL generation as well.
So far so good, but what happens when you want to save your objects back to the database?
With Dapper it’s pretty easy to write an INSERT, UPDATE, or DELETE statement and pass in your object as the parameter source. But if you’ve got a complex object this, again, can quickly turn into a lot of code.
Step in Dapper.SimpleSave (https://github.com/Paymentsense/Dapper.SimpleSave), which you can use to save changes to complex objects without the need to worry about saving each object individually. And, again, you don’t need to write any SQL.
I’ll give you a good overview of both Dapper.SimpleLoad and Dapper.SimpleSave, with a liberal serving of examples. I’ll also explain their benefits and drawbacks, and when you might consider using them in preference to more heavyweight options, such as EF.