Skip to main content

[Post Event] ITCamp 2015, Cluj-Napoca

Here we are again. At the 5th edition of ITCamp, organized in Cluj-Napoca, Romania. There were 2 days, full with new and interesting content. This year there were a lot of topics that were discussed, from technical one to business one. We saw not only Azure, but also AWS, JavaScript, Node.JS and yes the new C# 6.0.
There were more than 500 people that attested to this event. With 4 tracks in parallel, it was pretty hard to decide what session to join. As usually, the list of speakers was attractive. Speakers like Paula Januszkiewicz, Andy Malone, Daniel Petri , Andy Cross,  David Guard or Peter Leeson had great and interesting sessions.
The list of speakers is long, I invite you to check the fallowing link: http://itcamp.ro/speakers.html
On top of this, we had two panels – a security and a cloud one. Great and challenging questions were putted during this panels.
See you next year!

I had the opportunity to have a 60 minutes sessions where I talked about how we can scale above clouds limits – ‘How to scale above clouds limits’.
Below you can find the abstracts and slides from this session.

Abstract:
The number of devices that are online increases every day. The quantity of digital content that is produced every year sets new record each time. Last but not least clients are more and more demanding. A cloud provider offers us a great basket of resources but we need to know how to use and manage them.
In this session we will talk about how to scale over this limits and how to be prepared for this kind of situations. If we are designing our system to be prepared to scale over cloud services limits then we will have a system that will be used in 5 year from now. We will talk about different scenarios when it is easy to reach different limits and we will learn how to overcome them.

Video recording:
https://vimeo.com/129227070

ITCamp 2015 - How to Scale Above Cloud Limits (Radu Vunvulea) from ITCamp on Vimeo.

Slides:

Comments

Popular posts from this blog

Windows Docker Containers can make WIN32 API calls, use COM and ASP.NET WebForms

After the last post , I received two interesting questions related to Docker and Windows. People were interested if we do Win32 API calls from a Docker container and if there is support for COM. WIN32 Support To test calls to WIN32 API, let’s try to populate SYSTEM_INFO class. [StructLayout(LayoutKind.Sequential)] public struct SYSTEM_INFO { public uint dwOemId; public uint dwPageSize; public uint lpMinimumApplicationAddress; public uint lpMaximumApplicationAddress; public uint dwActiveProcessorMask; public uint dwNumberOfProcessors; public uint dwProcessorType; public uint dwAllocationGranularity; public uint dwProcessorLevel; public uint dwProcessorRevision; } ... [DllImport("kernel32")] static extern void GetSystemInfo(ref SYSTEM_INFO pSI); ... SYSTEM_INFO pSI = new SYSTEM_INFO(

Azure AD and AWS Cognito side-by-side

In the last few weeks, I was involved in multiple opportunities on Microsoft Azure and Amazon, where we had to analyse AWS Cognito, Azure AD and other solutions that are available on the market. I decided to consolidate in one post all features and differences that I identified for both of them that we should need to take into account. Take into account that Azure AD is an identity and access management services well integrated with Microsoft stack. In comparison, AWS Cognito is just a user sign-up, sign-in and access control and nothing more. The focus is not on the main features, is more on small things that can make a difference when you want to decide where we want to store and manage our users.  This information might be useful in the future when we need to decide where we want to keep and manage our users.  Feature Azure AD (B2C, B2C) AWS Cognito Access token lifetime Default 1h – the value is configurable 1h – cannot be modified

What to do when you hit the throughput limits of Azure Storage (Blobs)

In this post we will talk about how we can detect when we hit a throughput limit of Azure Storage and what we can do in that moment. Context If we take a look on Scalability Targets of Azure Storage ( https://azure.microsoft.com/en-us/documentation/articles/storage-scalability-targets/ ) we will observe that the limits are prety high. But, based on our business logic we can end up at this limits. If you create a system that is hitted by a high number of device, you can hit easily the total number of requests rate that can be done on a Storage Account. This limits on Azure is 20.000 IOPS (entities or messages per second) where (and this is very important) the size of the request is 1KB. Normally, if you make a load tests where 20.000 clients will hit different blobs storages from the same Azure Storage Account, this limits can be reached. How we can detect this problem? From client, we can detect that this limits was reached based on the HTTP error code that is returned by HTTP