The cloud has gained so much momentum that there is not a single day that you don’t hear or read about things like cloud native apps , containers, micro services, or cloud migration. The value in moving to the cloud is real – delivering better software experiences to customers faster and more reliably, No matter which of the scenarios you need to address, Azure offers a rich platform for developing any type of application. This session will cover some of Azure’s core services from a developer’s perspective, starting with development scenarios using Azure virtual machines and Virtual machine scale sets, building containerized services using the Azure container service, and building powerful web and mobile apps using Azure App Service. We’ll wrap up showing you how you can build always-on, scalable microservices applications using Azure Service Fabric. This deck was originally presented at AppSphere 2015.

1. Microsoft Azure for developers and dev-ops
Boris Scholl Principal Program Manager Azure Compute

2. Agenda
• Azure virtual machines
– IaaS workloads
• Azure virtual machines scale sets
– Scalable compute layer for hyper-scale apps
• Azure container service
– Build and manage containerized applications and services
• Azure service fabric
– Build and operate always-on, scalable microservices applications
• Azure web apps
– Simplifying compute
Copyright © 2015 AppDynamics. All rights reserved. 2

3. VMs and VM Scale Sets
Azure Public CloudAzure Stack
VM Extensions
ACS
Service Fabric
(Apps and Containers)
Batch
App ServiceMedia
Web
Apps
Mobile
Apps
Apprenda
CloudFoundr
y
Jelastic
AZURE’S NEXT GENERATION CLOUD
PLATFORM
Service Fabric Apps
SCALR,
RightScale,
Mesos,
Swarm,
Kubernetes
Physical
Machines/Other
Clouds

4. Azure Resource Manager
• Application Lifecycle Container
• Declarative Solution for
Deployment and Configuration
• Consistent Management Layer
RESOURCE GROUP
Azure Resource Manager
Azure Resource Groups
• Tightly coupled containers of
multiple resources of similar or
different types
• Resource Group is a unit of
management
– Deployment, Update, Delete
– Identity
– Metering, billing, quota

5. Azure Templates can:
• Ensure Idempotency
• Simplify Orchestration
• Simplify Roll-back
• Provide Cross-Resource Configuration and
Update Support
Azure Templates are:
• Source file, checked-in
• Specifies resources and dependencies
(VMs, WebSites, DBs) and connections
(config, LB sets)
• Parameterized input/output
Instantiation of repeatable config.
Configuration à Resource Group
Power of Repeatability
SQL - A Website
Virtual
Machines
SQL-A
Website
[SQL CONFIG] VM (2x)
DEPENDS ON SQLDEPENDS ON SQL
SQLCONFIG

6. Virtual machine building blocks
• OS & data disk images
– Various sizes
– Windows base OSs
– Linux base OSs
– Azure Certified Images
– Community images
• VM Extensions
– Security
– Deployment
– Configuration
– Others
• Visual Studio debuggers
• Diagnostics agents
• Monitoring agents
• Access recovery
• Docker extension
• Backup helper

7. Demo virtual machines

8. Challenges of scale with virtual machines
• Need to correlate loops of independent resources, e.g. NICs,
storage accounts, VMs
– Different loop sizes for NICs and storage accounts etc.
• No easy mechanism to scale in
• Scale out – How do you ensure availability
• Resource loops are a syntactical shorthand, but multiple calls go to
fabric
…….Virtual Machine Scale Sets to the rescue

9. What are Virtual Machine Scale Sets?
• A way to deploy and manage a set of identical VMs
• Integrate with Azure Autoscale
• Integrate with Azure Load Balancer
• An Azure Compute resource
Microsoft.Compute/virtualMachineScaleSets
• Scalable compute layer for hyperscale apps
• An infrastructure for PaaS

10. VM Scale Sets in ARM
• Auto-Scalable
• Fast
• Customizable
– Windows or Linux
– VM extensions
– Open PaaS platform
• Ease of
Management
– Focus on target
instance count
– Updateable
Resource Group
Subnet
Scalable Storage
V
M
VNET
Scalable NIC
…
V
M
V
M
V
M
Scale Set
Extensions
Manage groups of identical VMs
https://github.com/Azure/azure-quickstart-templates

11. Demo virtual machines scale sets

12. Docker integration with Azure

13. Azure Container Services
Containers
Container ToolingService Tooling
Layer
Supported Technologies
Configuration as
Code
ARM, Dockerfile, Docker
Compose
Host cluster
management
VM Scale Sets
Container
orchestration
Docker Swarm, Chronos,
Marathon, Apache Mesos
Monitoring
AppDynamics, OMS, AI

14. Demo container service

15. • Scales by cloning the app on multiple
servers/VMs/Containers
Monolithic application approach Microservices application approach
• A microservice application
separates functionality into
separate smaller services.
• Scales out by deploying each service
independently creating instances of these
services across servers/VMs/containers
• A monolithic application has
most of its functionality within a
single process that is commonly
componentized with libraries.
App 1 App 2App 1

16. What is a microservice?
• Encapsulates a scenario
• Are developed by a small engineering team
• Can be written in any language and framework
• Contain code plus state that is independently versioned,
deployed, and scaled
• Interact with other microservices over well defined interfaces
and protocols such as http
• Have a unique name (URL) that can be resolved
• Remains consistent and available in the presence of failures

17. Types of microservices
from a Service Fabric perspective
• Stateless microservice
– Has either no state or it can be retrieved from an external store
– There can be N instances
– e.g. web frontends, protocol gateways, Azure Cloud Services etc.
• Stateful microservice
– Maintain hard, authoritative state
– N consistent copies achieved through replication and local persistence
– e.g. database, documents, workflow, user profile, shopping cart etc.

18. Microsoft Azure Service Fabric
A platform for reliable, hyper scale, microservice-based applications
Service
Fabric
High
Availability
Hyper-Scale
Hybrid
Operations
High
Density
Stateful and Statless Microservices
Rolling
Upgrades
Stateful
services
Low Latency
Fast startup &
shutdown
Container
Orchestration &
lifecycle
management Replication &
Failover
Simple
programmin
g models
Resource balancing
Self-healingData
Partitioning
Automated
Rollback
Health
Monitoring
Placement
Constraints
Azure Private cloud Other clouds

19. Services built with Service Fabric

20. 300+ Service Fabric Preview Customers

21. Service Fabric cluster with microservices

22. Handling machine failures

23. Stateful microservice

24. Demo Azure Service Fabric

25. Cloud Services
Azure Tables/NoSQL
Reliable Azure Queue
Service Fabric
(Stateful)
Word count service
Cloud Service vs Stateful Service Fabric

26. Simplifying Compute
Web Apps
• Web-based
compute
• Open APIs
• No infrastructure
management
• App Gallery
• Long running
Web tasks
Azure Web Apps

27. Resources
Applies to everything discussed:
• Getting Started Guide:
https://azure.microsoft.com/en-us/documentation/
• Example templates:
https://github.com/Azure/azure-quickstart-templates
Service Fabric specific
• Download the Service Fabric developer SDK and build some
microservice applications http://aka.ms/ServiceFabric
• Learn from samples and complete solutions
http://github.com/Azure/ServiceFabric-Samples
• Learn from the tutorials and videos
http://aka.ms/ServiceFabricdocs
• Party Cluster: http://aka.ms/tryservicefabric

28. Thank You