The Cloud promises - Global Azure Bootcamp Paris 2019
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The Cloud promises. Keynote of the Global Azure Bootcamp 2019 in Paris on April 27th. The cloud promises of lot of benefit (AI everywhere, IAAS replacement with PAAS) but also some side effects (IT jobs at risk). I took a look back and gave some perspectives.
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The Cloud promises - Global Azure Bootcamp Paris 2019
- 1. Azure, the Cloud promises @danvy Global Azure Bootcamp 2019
- 2. Thank you!
- 3. Thank you!
- 4. Azure, the Cloud promises @danvy Global Azure Bootcamp 2019
- 5. I.T. jobs are at risk
- 6. Developer Growth By industry (US), 2006-2016 -2.0% -1.0% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% Developer Non-Developer Education RealEstate& Construction Entertainment &Hospitality Healthcare FinancialServices Government Manufacturing Retail&Wholesale Nearly every industry is being affected…
- 7. Role of SW in Auto Developers as a % of Overall Headcount 1.0% 6.6% Average American Car Company Role of software in Automotive
- 11. IAAS is dead, long live to PAAS
- 12. Azure is Microsoft’s cloud computing platform YouManage Managedbyvendor Azure Microsoft 365
- 13. Azure server generations Gen 2 Processor 2 x 6 Core 2.1 GHz Memory 32 GiB Hard Drive 6 x 500 GB SSD None NIC 1 Gb/s Gen 3 Processor 2 x 8 Core 2.1 GHz Memory 128 GiB Hard Drive 1 x 4 TB SSD 5 x 480 GB NIC 10 Gb/s HPC Processor 2 x 12 Core 2.4 GHz Memory 128 GiB Hard Drive 5 x 1 TB SSD None NIC 10 Gb/s IP, 40 Gb/s IB Gen 4 Processor 2 x 12 Core 2.4 GHz Memory 192 GiB Hard Drive 4 x 2 TB SSD 4 x 480 GB NIC 40 Gb/s Godzilla Processor 2 x 16 Core 2.0 GHz Memory 512 GiB Hard Drive None SSD 9 x 800 GB NIC 40 Gb/s Gen 5.1 Processor 2 x 20 Core 2.3 GHz Memory 256 GiB Hard Drive None SSD 6 x 960 GB PCIe Flash and 1 x 960 GB SATA NIC 40 Gb/s + FPGA GPU Gen 5 Processor 2 x 8 Core 2.6 GHz Memory 256 GiB Hard Drive 1 x 2 TB SSD 1 x 960 GB SATA NIC 40 Gb/s GPU 2 x 2 Compute GPU Beast Processor 4 x 18 Core 2.5 GHz Memory 4096 GiB Hard Drive None SSD 4 x 1920 GB NVMe and 1 x 960 GB SATA NIC 40 Gb/s Gen 6 Processor 2 x Skylake 24 Core 2.7GHz Memory 768GiB DDR4 Hard Drive None SSD 4 x 960 GB M.2 SSDs and 1 x 960 GB SATA NIC 40 Gb/s FPGA Yes Mega Beast Processor 4 x 18 Core 2.5 GHz Memory 12,288 GiB Hard Drive None SSD 4 x 1920 GB NVMe and 1 x 960 GB SATA NIC 40 Gb/s
- 14. Azure provides best in class performance Compute performance Largest in public cloud Memory Largest in public cloud Remote Storage (single disk) Fastest in public cloud Local storage Fastest in public cloud File storage Fastest in public cloud VM-VM Networking Fastest in public cloud Hybrid Networking Fastest in public cloud
- 15. Joint Announcement between SAP and Microsoft Nov. 28th • Microsoft runs SAP S/4HANA on Azure • SAP migrates their internal applications to Azure • Microsoft and SAP will jointly offer SAP HANA Enterprise Cloud (HEC) on Azure
- 16. Azure Database Services for…
- 17. Basic General Purpose Memory Optimized Intended use case Built for workloads with light compute and variable I/O performance. Ideal for most business workloads offering balanced compute and memory with scalable I/O throughput. Built for high-performance database workloads requiring in-memory performance for faster transaction processing and higher concurrency. vCore 1 2 2 4 8 16 32 64 2 4 8 16 32 Compute Generation Gen 4, Gen 5 Gen 4, Gen 5 Gen 5 only Memory 2 GB per vCore 5 GB per vCore 10 GB per vCore Storage 5 GB – 1 TB Magnetic Media 5 GB – 4 TB Remote SSD 5 GB – 4 TB Remote SSD IOPS Variable 100 – 6000 IOPS 100 – 6000 IOPS Backup retention 7 – 35 days 7 – 35 days 7 – 35 days Backup storage Locally redundant Locally or geographically redundant Locally or geographically redundant Ser vice tiers for Azure Database Ser vices for MySQL, PostgreSQL, and MariaDB
- 18. Control access • Secure SSL connectivity • Server firewall rules • Virtual Network (SE) Protect data • Built-in encryption at-rest for data and backups Security built in Identity • Native authentication • Threat detection
- 19. Secure and compliant • Protect your data with up-to-date security and compliance features with the Azure IP Advantage. SOC1 – Compliant SOC2 – Compliant SOC3 – Compliant ISO 27001:2013 – Compliant ISO 27018:2014 – Compliant CSA STAR Certification – Compliant HIPAA / HITECH Act – Compliant PCI DSS Level 1 – Compliant ISO 27017:2015 – Compliant ISO 27018:2014 – Compliant ISO 9001:2015 – Compliant ISO/IEC 20000-1:2011 – Compliant ISO 22301:2012 – Pending SOC 2 Type 2 CSA STAR Certification Level 1
- 20. Built-in High Availability Server provisioning and management Retry Elastically scale your compute up or down Independently scale up storage as needed seamlessly Use replicas only if you need to! MySQL IP:3306 PGSQL IP:5432 US West Azure Storage MySQL or PostgreSQL Server MySQL or PostgreSQL Server
- 21. MySQL, PostegreSQL & MariaDB Your turn…
- 24. Containers in Azure Virtual Machine Azure Container Instance AKS App Service Service Fabric Azure Cognitive Services Azure IoT Edge • Azure Stream Analytics • Azure Machine Learning • Azure Functions
- 26. AI everywhere
- 27. Machine learning Sophisticated pretrained models To simplify solution development Popular frameworks To build advanced deep learning solutions Productive services To empower data science and development teams Powerful infrastructure To accelerate deep learning Flexible deployment To deploy, manage models on intelligent cloud & edge
- 28. Azure Stream Anayltics Anomaly Detection https://azure.microsoft.com/en-us/blog/anomaly-detection-using- built-in-machine-learning-models-in-azure-stream-analytics/
- 31. This will never work!
- 34. Who’s that guy Alex Danvy Technical Evangelist, Microsoft @danvy danvy.tv #iot de #cloud #ai #quantum #geek #cooking
Editor's Notes
- Today, the world is reaching another inflection point. Software is being infused in every part of business, making every company a software company. As you can see, this is happening across every industry where even in areas where there are less non-developer roles, the need for developers is increasing.
- Even in the automotive industry, you can see the role of software where developers make up 1% of the overall headcount in the average America Car Company. At Tesla, 6.6% of overall headcount is comprised of developer roles.
- Azure is Microsoft’s cloud computing platform. Simply put, cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics, intelligence and more—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. You typically pay only for cloud services you use, helping lower your operating costs, run your infrastructure more efficiently, and scale as your business needs change. When we talk about Microsoft Azure, we’re really talking about Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) . IaaS in Azure is where the infrastructure like Networking, Storage, etc. is managed by Microsoft and the rest is managed by you. PaaS in Azure is where you let Microsoft manage everything except your applications and your data. And finally, Software as a Service (SaaS) are things like Microsoft 365 or Office 365 running in the cloud.
- 13
- Max CPU on AWS – U-metal offering they have 8 sockets x 28 cores x 2(HT) = 448 Max Memory on AWS – 12 TB Max Remote Storage on AWS – 40K IOPs / ~160K IOPs for entire VM Max Local Disk – 3.3M on i3.metal on AWS (Gartner hit 5.5M IOPs on Oracle) File Storage – 18K on AWS (based upon Gartner testing) VM networking – 20 Gbps Ethernet on AWS Hybrid networking – 10 Gbps on AWS
- - Virtual Network Service Endpoints
- SOC2 - Service Organization Controls standards for operational security ISO 27001 - Information Security Management Standards ISO 27018 - Code of Practice for Protecting Personal Data in the Cloud CSA STAR - Cloud Security Alliance: Security, Trust & Assurance Registry (STAR) PCI DSS Level 1 - Payment Card Industry (PCI) Data Security Standard (DSS) Level 1 Service Provider HIPAA / HITECH Act - Health Insurance Portability and Accountability Act / Health Information Technology for Economic and Clinical Health Act ISO 27017:2015 - Code of Practice for Information Security Controls ISO 27018:2014 – assesses control environment to protect of personal data in the cloud. ISO 9001:2015 Quality Management Systems Standards ISO 22301:2012 Business Continuity Management Standard ISO/IEC 20000-1:2011 Information Technology Service Management
- Setting-up high availability for database servers is hard, requiring either custom code to manage detection/failover, or expensive 3rd party solutions to make it a bit easier. Worse yet, it’s expensive as typically a second database server (replica) is necessary in order to fail-over in a matter of seconds. A second server = 2x the cost for HA. For AWS customers, you cannot receive a SLA from Amazon on your database server unless you have deployed in a multi-AZ, again meaning 2x the cost. Azure Database Services is built upon the SQL Database platform which is a Service Fabric-based PaaS solution. As such, rather than having to boot-up an entire OS stack to bring up a new server (such as in IaaS), Azure Database Services run the database engine in a custom container technology which you can think of as a secure “pico process”. The time it takes to bring-up a new server in this custom container is a matter of seconds. This means that in the event that your database server has hung, or “gone away”, the Azure Database Management Service” detects the failure, brings-up a new server in this lightweight container, maps the new IP address to the DNS name of your instance and maps to your storage. This entire process takes between 30-45 seconds. This is built-in to all performance tiers of Azure Database Services and since a replica instance isn’t needed, there is no additional cost to the customers. In contrast, an AWS RDS server that is deployed in a single AZ would take minutes to start – and that does not account for how you would detect the failure and switch-over.
- We think about Machine Learning on Azure into these layers. At the top, we have the sophisticated pre-trained models, built by MS Research for products like Bing and Office. They’ve been made available to you for use in your apps, and for customization, as needed. Then we have Popular frameworks. We support all of the major frameworks that you want to use, and we have a commitment to openness so you’re not locked into a particular model or framework. We then built services that the frameworks can run on. These services enable you to be come productive and to manage your workflow as you’re doing ML, to figure out run histories, and hyper parameter tuning, and all the things that a data scientist needs to do, we deliver in the services layer. These run on a powerful infrastructure. We’ve made a lot of investments in the hardware layer to differentiate ourselves. We have the most comprehensive GPU fleet, so customers can choose the right mix of performance and price. This is important because GPU’s normally cost a lot. With regards to FPGA, we are unique in HW accelerated models. Google is restrictive with TPUs (it can only run Tensorflow models). AWS just has vanilla FPGAs machines. So we are ahead today, and our strategy to allow any framework to run on FPGAs in future is differentiated. It gets more differentiated when FPGAs will be available in Azure Stack. And finally, there’s flexible deployment. Not only do you need the tools, framework and platform to build these AI models, but you need to be able to deploy these models where you need them, whether it’s in the cloud, on-premises or even at the edge.