Voxxed Days Thesaloniki 2016 - A journey to Open Source Technologies on Azure

Java on Azure
Developer's Guide
Alex Yochev
DX Technical Evangelist
@_xayo_

Traditional Microsoft …
Databases
Applications
Operations
Application
Frameworks
Infrastructure
SQL Server
.NET
SharePoint
Dynamics
System
Center
Exchange
MS Traditional
Monetization

Microsoft + Open Source
Azure Marketplace
60% of all images in Azure
Marketplace are based on
Linux/OSS
1 out of 3
1 out of 3 VMs on Azure run
Linux, and more than half of all
new VMs run Linux
Marketplace
Microsoft joins
Eclipse Foundation
Partnership with the
Linux Foundation
for Linux on Azure
certification
Jenkins project on Azure
Partnership
Partnership
SQL Server on
Linux
HD Insight PaaS on Linux
Acquisition
Product
Run Linux on Windows natively
C:Usersmarkhill> bash
root@localhost: #
Windows Subsystemfor Linux
Operations Management
Suite = Windows + Linux
500 Million+
Lines of open source
code submitted to
GitHub by Microsoft
engineersMicrosoftOpenSourceHub
Wim Coekaerts
Oracle’s Mr. Linux
joins Microsoft
Ross Gardler
President Apache
SW Foundation
Ingesting Open Source DNA @MSFT
Michael Kelley
Open Source
Technology Center

A New Era for Microsoft
• Microsoft Cloud Platform can
now address ALL of our
customers’ cloud needs,
including enterprise grade
support for their open source
solutions as well as Linux
management
Databases
Applications
Operations
Application
Frameworks
Infrastructure
SQL Server
.NET
SharePoint
Dynamics
System
Center
Exchange
Microsoft Azure

5
Microsoft love Linux and OSS

Build on the platformBuild on the infrastructure
Preview
GA
Stakeholders
Developers
Microsoft Azure
Virtual
Machines
Stateful and
stateless one-
off solutions
VM Scale
Sets
Scalable
solutions
Container
Service
Scalable,
orchestrated
Docker images
deployed into
containers
Batch
Custom High
Performance
Computing
solutions
Open
Source
PaaS
Cloud
Foundry,
OpenShift
Service
Fabric
Custom
Microservice-
based stateless
and stateful
solutions
App Service
Template based
rapid
development
web, mobile
and API
solutions
Orchestrated
workflow based
integration
solutions
LogicWeb, Mobile & API
All the
goodness of
App Service in
a dedicated
environment
Environments
…
Functions
Operations DBAs and data scientists Business
Office
PowerBI
Cloud-born LOBLift-and-shift + net new on Linux Docker
Azure Open Source App Platform

Developer & Data Agility with Containers in the Cloud
Microsoft Azure
Azure Open Source Container Portfolio
Developers
Cross-cloud orchestration Tools integration
Operations
OMS
Data scientists
Workload portability
Open source container-based
PaaS platforms in Azure
Container-ready application platforms that
benefit from Azure’s native partitioning,
capacity management and high availability
Azure Container Service
Optimized container hosting in the cloud with
familiar tooling and your choice of orchestrator
Docker VM
Extension for
Azure
Easy and programmatic
way to add Docker
capabilities to your VMs
Azure Marketplace
container partners
Partner solutions that address
management challenges of
containers

Java deployment in Azure
Ultimate
Control
Cost &
Agility
Virtual
Machines
VM Extensions
+ Containers
VM ScaleSets Cloud
Foundry,
Container
Services
Service Fabric
IaaS PaaS
Bring your
Java
Automate
everything
Elastic
Declarative
Stateless &
Stateful

DevOps
Infrastructure
Java apps
& tools
Databases &
middleware
Azure
Use your OS, frameworks, and data sources

Java Dev Center – azure.com/java

Javadoc views on Azure are
2nd (after .NET)
Azure is the only
Oracle-certified
cloud platform
HDInsight (Hadoop), Azure Search
(Elastic Search)
Your OS, frameworks, and data sources
MICROSOFT CONFIDENTIAL
Popular on Azure1 in 3 Linux VMsWe Use Java

SDKs for Java
Storage
Service Bus
Management
Key Vault
Resource Manager
Data Lake
SQL Database
Active Directory
ApplicationInsights
DocumentDB
Web Apps
Media Services
Scheduler
Notification Hubs
Full developer ecosystems in
Azure for your deployment
needs and beyond
SQL Azure

azure.microsoft.com/downloads/

NEW! Sample App
https://github.com/MSOpenTech/azure-chat-for-java

Azure Toolkit for Eclipse/for IntelliJ
Deploy to Azure Web Apps or Azure PaaS

• Performance enhancements so far
• Patches have been accepted and back ported to
Java 7 & 8
• Increase throughput and reduce latency for local tcp connections:
• 8060170: Support SIO_LOOPBACK_FAST_PATH option on Windows
• http://hg.openjdk.java.net/jdk9/dev/jdk/rev/26e6402772c8
• Increase throughput for transfering files over tcp: 8064407:
• FileChannel transferTo should use TransmitFile on Windows
• http://hg.openjdk.java.net/jdk9/dev/jdk/rev/ba6d8f56003b
Microsoft is CONTRIBUTING to Java!

Jenkins
Running their infrastructure on Azure!
Situation
Infrastructure in four different
locations, with four different
infrastructure providers, each with
their own APIs and tools for
managing resources, each with
varying capabilities and capacities.
Project infrastructure is managed by a
team of volunteers, operating more
than 15 different services and
managing a number of additional
external services.
Solution
A cloud platform consisting of:
compute, CDN, storage and data-
store services.
Azure also enables End-to-end TLS
encrypted distribution of Jenkins
packages, plugins and metadata via
the Azure CDN.
Benefits
More complete build/test/release
support and capacity on ci.jenkins.io
for plugin developers using Azure
Container Service and generic VMs.
Jenkins provides continuous integration services for software
development. It supports popular SCM tools and can execute Apache
Ant and Apache Maven based projects as well as shell scripts and
Windows batch commands.
“Migrating to Azure
simplifies and improves our
infrastructure in a dramatic
way that would not be
possible without a
comprehensive platform”

Jenkins Plugins
Azure Storage plugin for Jenkins
• Easily deploy artifacts to Azure Storage
Jenkins Slave Plugin for Azure
• Azure Cloud Profile Configuration
• Azure subscription info
• Deploy and manage Azure Slaves
• Azure Slave Template Configuration
• Azure Slave Templates tell Azure what type
of Azure Slave to deploy
• Windows or Linux

Microsoft joins the Eclipse Foundation
Microsoft Eclipse

What Microsoft has to Offer
Broad Linux Support
We know that most Java shops run Linux. Azure supports all
popular Linux and UNIX distributions
SDK
• Rapidly develop Azure-enabled applications using Azure Java
SDK and access all Azure services ranging from Event Hub to
App Insights
• Use Azure Android SDK for mobile applications that needs to
access storage
Azure Jenkins support
• Jenkins CI supports Azure slave-plugin and Azure storage-
plugin.
• Jenkins partnership with Microsoft will result in them (Jenkins)
running their infrastructure on Azure.
• Jenkins is the most popular CI tool amongst Java developers
Azure support for Java Enterprise Platforms
Intrinsic Java support in Azure PaaS offerings and services
• Azure Web Apps supports Tomcat
• Azure Web Apps and Service Fabric support Java constructs
intrinsically
Development
• Azure Toolkits for Eclipse and IntelliJ, including Team Foundation
Services (TFS) Plugin for Eclipse enable developers to seamlessly
write, test and deploy code on Azure from their favorite IDEs
• Team Explorer Everywhere Plugin for Eclipse enables developers
using Eclipse to collaborate using Visual Studio Team Services.
They are not required to choose Visual Studio as the IDE
anymore
• Automated builds and tests using open source tools such as
Jenkins, Ant, Maven, Gradle, etc.
• Huge repository of Java code samples on GitHub, Java
Development Center
• Azure support for Java-enabled platforms like Cloud Foundry,
OpenShift, JBoss, WebLogic, etc.

Application
building blocks
StorageBig data
Caching
CDN
Database
Identity
Media
Messaging
Networking
Traffic

IoT is made up of four core elements
Connectivity Data AnalyticsThings

IoT Device & Cloud Patterns
Field
Gateway
Device
Connectivity & Management
Devices
RTOS,Linux,Windows,Android,iOS
Field
Gateway
Protocol
Adaptation
Protocol
Adaptation
Analytics &
Operationalized Insights
Batch Analytics & Visualizations
Azure HDInsight, AzureML, Power BI,
Azure Data Lake, Azure Data Factory
Hot Path Analytics
Azure Stream Analytics, Azure HDInsight Storm
Hot Path Business Logic
Service Fabric & Actor Framework
Presentation &
Business Connectivity
Presentation &
App Service, Websites
Dynamics, BizTalk Services,
Notification Hubs
IoT Hub
Cloud Gateway

Microsoft Azure IoT Services
Devices Device Connectivity Storage Analytics Presentation & Action
Event Hub SQL Database
Machine
Learning
App Service
IoT Hub
Table/Blob
Storage
Stream
Analytics
Power BI
Service Bus DocumentDB HDInsight
Notification
Hubs
External Data
Sources
3rd
party
Databases
Data Factory Mobile Services
Data Lake*
BizTalk Services
{ }
(*) service in Preview

Microsoft Cloud offer for IoT
Remote
monitoring

Predictive
maintenance
Azure IoT SuiteAzure services (IoT and others)

Accelerate time to value with preconfigured solutions
Finish with your Internet of Things applicationStart quickly with preconfigured solutions
Modify existing rules and alerts
Fine-tuned to specific assets and processes
Integrate with back-end systems
Highly visual for your real-time operational data
Get started in minutes
Add your devices and begin tailor to your needs

Security &
Management
Platform Services
Infrastructure Services
Virtual Machines
Windows Linux Containers
Network Attached Storage
BLOB
Storage
Azure Files Premium
Storage
Datacenter Infrastructure (24 Regions, 19 Online)
Web and Mobile
Web Apps
Mobile
Apps
API
Management
API
Apps
Logic
Apps
Notification
Hubs
Media & CDN
Content Delivery
Network (CDN)
Media
Services
Analytics & IoT
HDInsight Machine
Learning
Stream
Analytics
Data
Factory
Event
Hubs
Mobile
Engagement
Active
Directory
Multi-Factor
Authentication
Automation
Portal
Key Vault
Integration
Biztalk
Services
Hybrid
Connections
Service
Bus
Storage
Queues
Store /
Marketplace
Hybrid
Operations
Backup
StorSimple
Site
Recovery
Import/Export
Software Defined Networking
Virtual
Network
Express
Route
Traffic
Manager
Load
Balancer
DNS VPN
Gateway
Application
Gateway
Data
SQL
Database
DocumentDB
Redis
Cache Search
Tables
SQL Data
Warehouse
Azure AD
Connect Health
AD Privileged
Identity Mngt
Operational
Insights
Compute
Cloud
Services
Batch Remote App
Service
Fabric
Developer Services
Visual Studio
Application
Insights
Azure SDK
Team Project
VM Image Gallery
& VM Depot
IoT
Hubs

IoT Hub endpoints
device
Event processing
(hot and cold path)
Device provisioning
and management
Your IoT Hub
Device id
C2D queue
endpoint
D2C send
endpoint
Device …
Device …
Device …
D2C receive
endpoint
C2D send endpoint
Msg feedback
and monitoring
endpoint
Device identity
managementIoT Hub
management
Device business logic,
Connectivity monitoring
Field GW /
Cloud GW
10 101 0
1
0 0
1
1
1
0
1
1
0
10
1
0 0
1
1
1
0 1
0
0
0
1
1
0
1
0

• Azure SDKs
• Open source SDKs for Azure IoT Hub
• github.com/azure/azure-iot-sdks
• Service Client SDK – C#, Java, JavaScript
• Device Client SDK – C, JavaScript, Java, C# (including PCL), Python
• Packages
• NuGet
• Npm
• Maven
• Apt-get
• Open source preconfigured solutions for IoT Suite
• Tools
• X-Plat CLI tool: iothub-explorer
• Windows tool: DeviceExplorer
Developer SDKs & Tools

Microsoft Azure IoT Services and Java
Machine
Learning
App Service
IoT Hub
Table/Blob
Storage
Stream
Analytics
Power BI
Notification
Hubs
External Data
Sources
3rd
party
Databases
Data Lake*
BizTalk Services
{ }

Microsoft Azure IoT Services and HD Insight
Machine
Learning
App Service
IoT Hub
Table/Blob
Storage
Stream
Analytics
Power BI
Notification
Hubs
External Data
Sources
3rd
party
Databases
Data Lake*
BizTalk Services
{ }

We do
Hadoop together
Engineering alignment
Corporate alignment
Field alignment

Who is
Hortonworks?
Open leadership
Drive innovation in the open exclusively via the
Apache community-driven open source process
Enterprise rigor
Engineer, test and certify apache Hadoop
with the enterprise in mind
Ecosystem endorsement
Focus on deep integration with existing
data center technologies and skills
Our mission:
Enable your modern data
architecture by delivering
one enterprise Hadoop
Headquarters: Palo Alto, CA

Azure HDInsight
Hadoop Meets the Cloud
Microsoft’s managed Hadoop as a Service
100% open source Apache Hadoop
Compatible for .Net and Java tools
Built on the latest releases across Hadoop (2.6)
Up and running in minutes with no hardware to deploy
Run on Windows or Linux
Spin up, do something, tear down – without losing any data
Supported by Microsoft

HDInsight Supports Hive
SQL-like queries on Hadoop data in HDInsight
HDInsight provides easy-to-use graphical query interface for Hive
HiveQL is a SQL-like language (subset of SQL)
Hive structures include well-understood database concepts such as tables, rows, columns,
partitions
Compiled into MapReduce jobs that are executed on Hadoop
Microsoft contribution to
Apache code
Hadoop 2.0
1400s
44.3s
35.1s
Sample Query
Hive 10 HDP 1.3 /
Hive 11
HDP 2.0
32x Speedup
40X
Speedup
HDP 2.1
15s
100x
Speedup

HDInsight Supports HBase
Data NodeData Node Data NodeData Node Data NodeData Node Data NodeData Node
Task TrackerTask Tracker Task TrackerTask Tracker Task TrackerTask Tracker Task TrackerTask Tracker
Name NodeName Node
Job TrackerJob Tracker
HMaster
Coordination
Region Server Region Server Region Server Region Server
NoSQL database on data in HDInsight
Columnar, NoSQL database
Runs on top of the Hadoop Distributed File System (HDFS)
Provides flexibility in that new columns can be added to column families at any time

HDInsight Supports Mahout
Machine learning library
A library of machine learning algorithms to execute on data in HDFS
Algorithms are not dependent on size of data and can scale with large datasets
Library includes: Collaborative Filtering, Classification, Clustering, Dimensionality Reduction, Topic Models

HDInsight supports Storm
Stream analytics for near-real-time processing
Consumes millions of real-time events from a scalable event broker (Apache Kafka, Azure Event Hub)
Performs time-sensitive computation
Output to persistent stores, dashboards or devices
Bolt
Bolt
Bolt
Spout
Spout
Bolt

HDInsight Supports Spark
In Memory Processing on Multiple Workloads
Single execution model for multiple tasks (SQL queries, Streaming,
Machine Learning, and Graph)
Processing up to 100x faster performance
Developer friendly (Java, Python, Scala)
BI tool of choice (Power BI)

Additional Components and Utilities
• Ambari: Cluster provisioning, management, and monitoring.
• Avro (Microsoft .NET Library for Avro): Data serialization for the Microsoft .NET environment
• Hive & HCatalog: Structured Query Language (SQL)-like querying, and a table and storage
management layer
• Mahout: Machine learning
• MapReduce and YARN: Distributed processing and resource management
• Oozie: Workflow management
• Phoenix: Relational database layer over HBase
• Pig: Simpler scripting for MapReduce transformations
• Sqoop: Data import and export
• Tez: Allows data-intensive processes to run efficiently at scale
• ZooKeeper: Coordination of processes in distributed systems

…
Add Hadoop Projects to HDInsight
Modify HDInsight clusters with custom script
Add Apache Hadoop projects to HDInsight
Documented for Spark, R, Giraph, Solr
HDInsight Allows You To Add Hadoop Projects

Advantages of Hadoop in the Azure
• Automatic provisioning of Hadoop clusters
• State-of-the-art Hadoop components
• High availability and reliability of clusters
• Efficient and economical data storage with Azure Blob
storage, a Hadoop-compatible option
• Integration with other Azure services, including Web apps
and SQL Database
• Low entry cost

IoT – Reference Architecture
Protocol
Adaptation
Device
Connectivity & Management
Environmental sensors
Air conditioning and
temperature control
Health monitoring
Cloud
Gateway
Cold Path Analysis
Data
Factory
HDInsight
Spark
Machine
Learning
Storage
Document DB
Storage
SQL DB
SQL Server
Analytics &
Operationalized Insights
HDInsight
Spark/Storm
Stream Analytics
Notification Hub
Presentation &
Web App
Mobile App
Logic App
Hot Path Analysis
Field
Gateway
Devices
(Linux, Windows, RTOS)
IoT Hub
Event Hub
Apache Kafka
Apache Kafka
Apache Spark
Apache Storm

Presentation
and action
Streaming Analytics
TransformationCollection Event Queuing
System
Long-term
storage
Search and query
Data analytics (Excel)
Web/thick client
dashboards
Devices to take action
Event hub
Event producers
Applications
Web and social
Devices
Sensors
Live Dashboards
Apache HBase on
HDInsight
DocumentDB
Solr Azure
Search
MongoDB
Cloud gateways
(web APIs)
Field
gateways
Kafka/RabbitMQ/
ActiveMQ
Event hubs
Azure ML
Storage
adapters
Stream processing
Storm / Spark
HDInsight

Apache Spark
Apache Storm
Big Players in Hot Path Analysis

Apache Storm
Distributed, Scalable, Real-Time Computation System
Fast – benchmarked as processing one million 100 byte
messages per second per node
Fault-tolerant – when workers die, Storm will
automatically restart them. If a node dies, the worker
will be restarted on another node.
Reliable – Storm guarantees that each unit of data
(tuple) will be processed at least once or exactly once.
Tuple Streams Spouts Bolt

Apache Storm for Microsoft Azure
Self
Hosted
Managed
Service
Resource Manager Template
Script Actions
Enterprise Data Hub
Data Platform

Real Time Streaming - Apache Storm with IoT Hub
IoT Device SDK for
Node.js
IoT Hub
Apache Storm
Node Server
with Socket.IO
Data Driven
Documents
(D3.js)
Ingestion and Management Analysis Presentation & VisualizationEvent Generation
IoT Hub ParserBolt Dashboard
Bolt

Apache Spark
Initially started at UC Berkeley in 2009
10x (on disk) – 100x (in-memory) faster
Provides high-level APIs in Java, Scala and Python
Integration with Hadoop eco-system

Spark for Microsoft Azure - Tools

The fuss about containers and why?
Virtual Machines
Each virtual machine includes the application, the necessary
binaries and libraries and an entire guest operating system - all of
which may be tens of GBs in size.
Containers
Containers include the application and all of its dependencies, but
share the kernel with other containers. They run as an isolated
process in user-space on the host operating system. They’re also
not tied to any specific infrastructure –So containers can run on
any computer, on any infrastructure and in any cloud.

Standard Docker tooling and API support
Streamlined provisioning of DCOS and Docker Swarm
Linux and Windows Server containers
Azure and Azure Stack
SwarmDC/OS

Application
Infrastructure
ACS
ARM
Template
Orchestrator

Docker Datacenter: Integrated, end-to-end platform
for agile application development and management
Enables hybrid use cases Azure / On-premise

Not everything is a Docker
Container

Not Everything is a Docker Container

DCOS Empowers your
developers and
operations teams with
simplified app
deployment.
Enables hybrid use cases Azure / On-
premise
Use Docker Images or other containerized
workloads

DC/OS - Mesosphere Universe of services

Compute requirements of a modern cloud app
Virtual Network
Availability Set Availability Set
Load Balancing
Compute nodes
Control nodes
• Transparent, automatic, rapid scale
• Simple manageability
• High availability
• Security - Patching / upgrades

• Scale - Deploy identical resources
• Easily
• Rapidly
• At scale.. 10s – 10,000s of cores
• Customization – PaaS-like ease of use with
custom infrastructure requirements
• Availability - Roll out updates without
service interruption
• Low cost - Dynamically increase/decrease
compute power to optimize costs
• Elasticity - Automatically scale to changing
demand
VM Scale Sets provide
https://azure.microsoft.com/en-us/documentation/services/virtual-machines-scale-sets/

VM Scale Sets in Azure Resource Manager
Resource Group
Subnet
Scalable Storage
V
M
Scalable NIC
…
V
M
V
M
V
M
Scale Set
Extensions
https://github.com/Azure/azure-quickstart-templates - *vmss*
VNet

• Portal: get started in a few
clicks
• Resource Manager
Template: have full control
• CLI, PowerShell, Resource
Explorer, SDKs, etc.
• In-VM Agent
• Windows Azure Diagnostics agent
• Linux Azure Diagnostics agent
Autoscale: How do I get it?

• Simultaneously:
• Scale on a specific day
• Scale on a recurring schedule
• Scale on multiple resource metrics
• Defined in
Microsoft.Insights
Autoscale rules resource
Autoscale: What about complex scenarios?

• Auto-email your ops
team!
• Integrate with external
APIs via Event Hooks
• Comes with basic payload
• Add your own payload
Autoscale: Can Azure notify me?

Connecting to Scale Set VMs – Jump box
Subnet
V
M
VNET
V
M
V
M
Scale Set
Mesos
master
(VM)
Public IP
Browser
Port 5050
Mesos
slave
Mesos
slave
Mesos
slave
https://github.com/gbowerman/azure-myriad/blob/master/mesos-vmss-simple-cluster.json
Create a VNET, public IP, single VM, scaleset
Scaleset nodes communicate with VM

Try Azure!
Learn more about Java and OSS on Azure
Check out Java samples on GitHub
Contribute
https://azure.microsoft.com/develop/java/
What’s next?

Java Reference
• All about Java on Azure – Azure Blog
• VM Depot
• Azure Java Developer Center (SDK and More)
• Azure Toolkit for Eclipse
• MS Open Tech Tools for IntelliJ
• Java Microsoft Virtual Academy Course
• Azure Chat for Java

Next steps
Try Hadoop on-premises
Free download
Personal, portable Hadoop environment
Free Trial: http://www.hortonworks.com/sandbox/
Hortonworks partner:
http://hortonworks.com/partners/become-a-partne
r/
Try Hadoop in the Cloud
Up and running in minutes
Spin up without hardware
Free Trial:
http://azure.microsoft.com/en-us/services/hdinsigh
t/
Free Trial: www.powerbi.com

Layer Supported Technologies
Configuration as
Code
ARM, Dockerfile, Docker
Compose, Marathon.json
Host cluster
management
VM Scale Sets
Container
orchestration
Docker Swarm, Chronos,
Marathon, Apache Mesos
Monitoring OMS, Statsd
Layered for flexibility and agility
Containers
VMs and VM Scale Sets
ARM Template
Container Services (1st
party, 3rd
party)
Windows Server Linux
Azure Stack Azure
Container ToolingService Tooling Layer Supported Technologies
Configuration as
Code
ARM, Dockerfile, Docker
Compose, Marathon.json
Host cluster
management
VM Scale Sets, Availability
Sets
Container
orchestration
Docker Swarm, Marathon,
Apache Mesos
Monitoring OMS, Statsd, Fluentd,
cAdvisor, ELK
Networking Docker Network Plugin
Storage Docker Storage Plugin
???

Building for the Ecosystem
Azure Container Service is the Infrastructure
Production grade
Enterprise scale
Hybrid
Empowering the Ecosystem
Open source
Choice: Docker Native or Apache Mesos
Community defined APIs

Try Azure IoT Hubs for free!
Learn more about Azure IoT Suite
Check out Azure certified devices
Contribute
http://aka.ms/azureiotdev
What’s next?

The Market
• Run scalable Java Enterprise web servers,
application servers and mobile services on the
cloud and in a hybrid environment – to leverage
cloud economics at scale
• Leverage Azure PaaS for rapid development and
reduced time-to-market
Java Enterprise Platforms
BUSINESS NEEDS
• Tap into the large and growing pool of expert Java
developers
• Modernize their investments in Java-based
application stacks through adoption of new
development patterns and practices

• Traditional Data Stores
• Run Linux-based Oracle, MySQL, MongoDB, PostgreSQL
and other Data Management Solutions
• Fully Managed Database-as-a-service
• for both NoSQL and RDBMS options
• Big Data Analytics
• HDInsight – Fully Managed Hadoop, Spark or Storm
Clusters, also supports Hive, R, Hbase
• Partnership with Hortonworks (the #1 Apache Hadoop
committer) allows us to influence roadmap on behalf of our
customers
• Data Ingestion and Storage tools
• like Azure Data Lake, Microsoft Stream Analytics, Event Hub
Managed Service with full Java SDK and REST API
integration
• Azure Storage
• Java, Python, Ruby, PHP, Node, SDKs, CLI and REST support
• Azure support for Open Source Data Infrastructure
Azure Search
Fully indexed and searchable websites
Data Marketplace
with Tiered Monetization Capabilities
End to end Managed Analytics solutions
Cortana Intelligence Suite including Azure ML
High Performance Computing
A8, A9, A10, A11 “compute-intensive” instances supporting
InfiniBand Network Standard
OTHER
SQL Server on Linux
Application for private preview now open, incl. for RHEL
customers
R support
“Microsoft R Open” (open source) and “Microsoft R Server 2016”
(commercial offering for enterprises)

The Market
Application Lifecycle Management addresses
DevTest, DevOps, monitoring and issue-tracking
across the development lifecycle.
Customers want to
• Increase developer productivity by eliminating
resource contention
• Improve provisioning agility by eliminating
procurement delays
• Manage cost by reducing budgets for under-
utilized bare metal
• Run realistic load tests and benchmarking
• Reduce downtime, perform rolling upgrades,
achieve stability in production
• Respond quickly to market needs by adopting
more frequent iterations
Developers say it is too complicated and time-consuming to get development and test resources
DevTest for Linux-based Workloads
65%
Business Case for Test Environment Management Whitepaper, Cognizant

• Script Based Automation
• Azure CLI (Azure Command Line Interface)
• Custom Script Extension
• Cloud-Init for Ubuntu
• DevTest Labs
• Provides ease of administration for dev and test teams by
enforcing quotas and policies on Azure Resources. Has
notifications and reports built in
• Reduces entry barrier for moving to cloud or introducing
cloud culture
• Comprehensive support for Container Technologies
• Docker, Docker Swarm, Docker Compose
• Docker Datacenter
• Mesosphere DC/OS, both natively as well as via Azure
Container Service
• Azure support for DevTest for Linux-based Workloads
Large and growing Marketplace
• With 3rd party solutions for DevTest and DevOps like Chef,
Puppet, Jenkins, etc.
Azure Functions (in Preview)
• Event-driven, compute-on-demand experience
• Completely open source. Supports custom CI/CD
implementations and connections to repositories like GitHub
or VSTS, allowing for a slimmer and more efficient CI/CD
pipeline
Team Services Release Management Pipeline
• For fully automated CI/CD capabilities

Voxxed Days Thesaloniki 2016 - A journey to Open Source Technologies on Azure

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Voxxed Days Thesaloniki 2016 - A journey to Open Source Technologies on Azure