Une conférence en 2 temps :
1) A tous ceux qui voudrait voir dans le Cloud un univers clivant, opposant le nouveau monde à l'ancien, les développeurs aux opérateurs, les startups aux grandes entreprises. Je fais la démonstration ici, qu'aucontraire, il constitue un vecteur très fort de convergeance.
2) Le Cloud et ses évolutions à venir, du serverless au Quantum Computing.
8. Azure
data services
SQL
Server
Azure Security
and Management
On-premises
infrastructure
Azure
services
Azure
Stack
Data
platform
Security and
management
Unified cloud
platform
Common
identity
Azure Active
Directory
Active
Directory
The only consistent, hybrid cloud
9. At the edge and
disconnected
Cloud application
model on-premises
Meet every regulatory
requirement
31. Code - Cloud first, then move on-premises
One code base with multiple delivery streams
Shared abstraction layer
Single master branch, multiple release branches
Update1
Update2
UpdateN
VisualStudioTeam Services
Team FoundationServer
32. Building confidence
Millions of users and most of Microsoft
22,781
23,462
26,080 28,068 29,487
32,061 32,956 33,830 35,138 36,452 36,964 37,851
41,024
44,438
48,033 50,108
53,367
57,727 58,493 60,768 61,760 62,169 62,804 61,362
65,392 66,037
69,405 68,194
70,974 73,101 73,452 75,713
75,197
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
2015 2016 2017
33. Si les all blacks sont champion
du monde c'est parce qu'ils sont
DevOps
Jean Francois BERENGUER
11h00
Glenan
35. Challenges with
IaaS/on-premises
offerings:
Tedious set-up and maintenance requirements
Expensive and complex HA solutions
Achieving end-to-end security
Over-provisioning of resources to achieve scale
Unpredictable costs
CUSTOMERS WANT ENTERPRISE-GRADE MANAGED SERVICES
FOR OPEN SOURCE DATABASES
36. More choices and full integration into Azure’s ecosystem and services
Managed community
MySQL, PostgreSQL,
and MariaDB
Scale in seconds with
built-in high availability
Secure and compliantLanguages and
frameworks of your choice
Industry-leading
global reach
AZURE DATABASE SERVICES FOR
MYSQL, POSTGRESQL, AND MARIADB
Easy Lift and Shift Enterprise Ready
My
37. MANAGED COMMUNITY
MYSQL, POSTGRESQL,
AND MARIADB
Focus on your apps by leaving the management
and patching of your infrastructure and database
to an enterprise-ready cloud service
- Automatic updates
- Automatic security fixes
- Automatic new feature updates
My
38. LANGUAGES AND
FRAMEWORKS OF YOUR
CHOICE
Build on your terms with a platform that
supports your application development needs
and offers a fully integrated Azure experience
39. SCALE IN SECONDS
WITH BUILT-IN HIGH
AVAILABILITY
Stay up and running without the need for
additional replicas
Meet the most demanding spikes by elastically
scaling performance
Rely on easy and cost effective disaster recovery
set up with a single click
40. SECURE AND
COMPLIANT
Protect your data with up-to-date security and
compliance features with the Azure IP Advantage
- SOC2 - Compliant
- ISO 27001:2013 - Compliant
- ISO 27018:2014 -Compliant
- CSA STAR Certification - Compliant
- PCI DSS Level 1 – February 2018
- HIPAA / HITECH Act – February 2018
- ISO 27017:2015 – March 2018
- ISO 9001:2015 – March 2018
- ISO 22301:2012 – March 2018
- ISO/IEC 20000-1:2011 – March 2018
- VNET *by Q2 2018
SOC 2
Type 2
CSA STAR
Certification
Level 1
41. INDUSTRY-LEADING
GLOBAL REACH
Span with Azure’s availability in more regions
worldwide than any other cloud provider
- Currently in 22 of Azure’s 42 regions
worldwide
- All Azure regions will be coming with new
Generation 5 hardware
Generation 4
Generation 5
Generation 4 & 5
Coming
43. Apps + insights
Social
LOB
Graph
IoT
Image
CRM INGEST STORE PREP & TRAIN MODEL & SERVE
Data orchestration
and monitoring
Data lake
and storage
Hadoop/Spark/SQL
and ML
.
IoT
Azure Machine Learning
T H E A I D E V E L O P M E N T L I F E C Y C L E
44.
45.
46.
47. What is the Data Science VM?
https://aka.ms/dsvm/overview
48. Windows and Mac based
companion for AI development
Full environment set up (Python,
Jupyter, etc)
Embedded notebooks
Run History and Comparison
experience
New data wrangling tools
What Is It?
49. AI Powered Data Wrangling
Rapidly sample, understand, and
prep data
Leverage PROSE and more for
intelligent, data prep by example
Extend/customize transforms and
featurization through Python
Generate Python and Pyspark for
execution at scale
50. Experiment
Manage job for local and cloud experiments
Find support for Spark + Python + R (roadmap)
Execute jobs locally, on remote VMs (scale up),
on Spark clusters (scale out), or SQL on-premises
Create with Git-backed experimentation tracking of code,
config, parameters, and data
Discover and compare with detailed historical metadata
51. Local machine
Scale up to DSVM
Scale out with Spark on HDInsight
Azure Batch AI (Coming Soon)
ML Server
Experiment Everywhere
A ZURE ML
EXPERIMENTATION
Command line tools
IDEs
Notebooks in Workbench
VS Code Tools for AI
52. Azure Machine Learning Studio
Platform for emerging data scientists to
graphically build and deploy experiments
• Rapid experiment composition
• > 100 easily configured modules for
data prep, training, evaluation
• Extensibility through R & Python
• Serverless training and deployment
Some numbers:
• 100’s of thousands of deployed models
serving billions of requests
53. Language
Speech
Search
Machine
Learning
Knowledge Vision
Spell
check
Speech API
Entity linking
Recommendation
API
Bing
autosuggest
Computer
vision
Emotion
Forecasting
Text to
speech
Thumbnail
generation
Anomaly
detection
Custom
recognition
(CRIS)
Bing
image search
Web language
model
Customer
feedback
analysis
Academic
knowledge
OCR, tagging,
captioning
Sentiment
scoring
Bing
news search
Bing
web search
Text analytics
Cognitive Services APIs
54. Zoom on cognitive services : build applications that understand people
• Faces, images, emotion recognition and video intelligence
• Spoken language processing, speaker recognition, custom speech recognition
• Natural language processing, sentiment and topics analysis, spelling errors
• Complex tasks processing, knowledge exploration,
intelligent recommendations
• Bing engine capabilities for Web, Autosuggest, Image,
Video and News
“on the shelf”
Intelligence
Cognitive
Services
60. Securing and managing the cloud foundation
JOINT RESPONSIBILITYMICROSOFT’S COMMITMENT
Physical assets
Datacenter operations
Cloud infrastructure
Securing and managing your cloud resources
Virtual machines
Applications & workloads
Data
70. Highly-securedconnecteddevicesrequire7properties
Hardware
Root of Trust
Is your device’s identity
and software integrity
secured by hardware?
Defense
in Depth
Does your device remain
protected if a security
mechanism is defeated?
Small Trusted
Computing Base
Is your device’s TCB
protected from bugs in
other code?
Dynamic
Compartments
Can your device’s
security protections
improve after
deployment?
Certificate-Based
Authentication
Does your device use
certificates instead
of passwords for
authentication?
Failure
Reporting
Does your device
report back about
failures and
anomalies?
Does your device’s
software update
automatically?
Renewable
Security
= Silicon support required = OS support required = Cloud Service support required