kranonit S05E01 Sergey Burma: Welcome to cloud!

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Sergey Burma gives an introduction to cloud computing. He discusses what cloud computing is, including definitions of self-service, scalability, multitenancy, and pay-per-use models. He outlines the three types of cloud services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Finally, he highlights some free cloud offerings and benefits and limitations of cloud computing.

Welcome to cloud!
Sergey Burma
linkedin.com/in/SergeyBurma Ser.Burma@gmail.com
#kranonit S05E01
2012

About me
Sergey Burma aka batment
● Python, С/C++ developer
● Like Django, Tornado, Redis
● Developing websites and server apps
● Graduate diploma about Cloud computing
● Experienced in Google App Engine, OpenShift
● linkedin.com/in/SergeyBurma

What we will talk about...
● What is a cloud and why it doesn't in a sky
● Three types of cloud
● You can try it free!

What is a cloud and why it doesn't
in a sky

Definition of Cloud
● Self service on demand
● Scalability and elasticity
● Multitenancy
● Only used resources are counted

It is linear relationship between
money and productivity!

Under the hood
Micro
● 1-2 EC2 Compute Units*
● 613 MiB of memory
● EBS storage only
● $0.020 per Hour
Quadruple
● 26 EC2 Compute Units*
● 68.4 Gib of memory
● 1690 GB of storage
● $3.100 per Hour
*EC2 Compute Unit ≈ 1.7 GHz Xeon
1 Quadruple for $3.100 = 155 Micro for $0.020
Sometimes it worth of it!

Three types of clouds
● IaaS (Infrastructure as a Service)
Amazon EC2
● PaaS (Platform as a Service)
Jelastic, Google App Engine, Windows Azure
● SaaS (Software as a Service)
GMail, Google Docs

Benefits and cons
● Less work for system administrator, but may
require special skills from him.
● You don't need to think about hardware.
● You can buy large amount of especially
prepared resources even for few hours.
● (Private) data is stored in unknown place.
● Instance is not immediately available.
● Hourly payment is invisible.

Questions?
This report, but hundred times larger - en.wikipedia.org/wiki/Cloud_computing
Amazon Web Services - AWS.Amazon.com
OpenShift - OpenShift.com
Jelastic - Jelastic.com
Google App Engine - AppEngine.google.com
Windows Azure - WindowsAzure.com
OpenStack - OpenStack.org
This presentation

Thanks for your attention!
Sergey Burma
@SergeyBurma
Ser.Burma@gmail.com
linkedin.com/in/SergeyBurma
github.com/SergeyBurma

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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024? In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe. This webinar will review: - The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey - The top challenges for privacy leaders, practitioners, and organizations in 2024 - Key themes to consider in developing and maintaining your privacy program

“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/ Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing. van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.

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Alpen-Adria-Universität

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kranonit S05E01 Sergey Burma: Welcome to cloud!

1. Welcome to cloud! Sergey Burma linkedin.com/in/SergeyBurma Ser.Burma@gmail.com #kranonit S05E01 2012

2. About me Sergey Burma aka batment ● Python, С/C++ developer ● Like Django, Tornado, Redis ● Developing websites and server apps ● Graduate diploma about Cloud computing ● Experienced in Google App Engine, OpenShift ● linkedin.com/in/SergeyBurma

3. What we will talk about... ● What is a cloud and why it doesn't in a sky ● Three types of cloud ● You can try it free!

4. What is a cloud and why it doesn't in a sky

5. Definition of Cloud ● Self service on demand ● Scalability and elasticity ● Multitenancy ● Only used resources are counted

7. What is scaling?

8. It is linear relationship between money and productivity!

9. Scale vertically vs. horizontally

10.

11. Under the hood Micro ● 1-2 EC2 Compute Units* ● 613 MiB of memory ● EBS storage only ● $0.020 per Hour Quadruple ● 26 EC2 Compute Units* ● 68.4 Gib of memory ● 1690 GB of storage ● $3.100 per Hour *EC2 Compute Unit ≈ 1.7 GHz Xeon 1 Quadruple for $3.100 = 155 Micro for $0.020 Sometimes it worth of it!

12. Three types of clouds ● IaaS (Infrastructure as a Service) Amazon EC2 ● PaaS (Platform as a Service) Jelastic, Google App Engine, Windows Azure ● SaaS (Software as a Service) GMail, Google Docs

13. Amazon Web Services (AWS)

14. Some really cool free stuff

15. Benefits and cons ● Less work for system administrator, but may require special skills from him. ● You don't need to think about hardware. ● You can buy large amount of especially prepared resources even for few hours. ● (Private) data is stored in unknown place. ● Instance is not immediately available. ● Hourly payment is invisible.

16. Questions? This report, but hundred times larger - en.wikipedia.org/wiki/Cloud_computing Amazon Web Services - AWS.Amazon.com OpenShift - OpenShift.com Jelastic - Jelastic.com Google App Engine - AppEngine.google.com Windows Azure - WindowsAzure.com OpenStack - OpenStack.org This presentation

17. Thanks for your attention! Sergey Burma @SergeyBurma Ser.Burma@gmail.com linkedin.com/in/SergeyBurma github.com/SergeyBurma

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