Service Fabric is a state-of-the-art distributed system that allows developers to easily build and IT-Pros to easily manage large scale, highly resilient services for your Enterprise. We are all going through the same transition with our businesses: We want our services to be quick to build and maintain, effective to manage, preferably cheap, but also robust and resilient enough to reach Internet scale without falling apart. Microsoft has solved this challenge is now making available to everyone the Platform they built for running and hosting global services with the highest availability demands, such as Azure SQL Database, Azure DocumentDB, and Bing Cortana. This session will give an overview of Service Fabric, share some war stories from using it and show some examples which will open your eyes to a great new world of distributed, infinitely scalable services that cannot die! Platform services PaaS is the future of the Cloud!

1. Azure Service Fabric
Magnus Mårtensson
Loftysoft AB

2. Features
Scalability
Manage Services
Deliver Features Faster
Create Business Value
Availability
Latency
Lifecycle
Data Integrity
Portability

4. Service Fabric

5. Service Fabric is a distributed systems platform
that makes it easy to build scalable, reliable, low-latency,
and easily managed applications for the Cloud.
This means that you can focus on your business needs and
let Service Fabric take care of ensuring your application is
always available and scales.
http://azure.microsoft.com/en-us/documentation/articles/service-fabric-technical-overview/

6. You!

7. magnus@loftysoft.com

8. Your Integration User Group

9. #GlobalAzure Bootcamp 2015

10. #GlobalAzure Bootcamp 2016
http://global.azurebootcamp.net/

11. SWeden microsoft Azure user Group
http://CloudBurst.azurewebsites.net/
September 17-18 Stockholm, Sweden!
And on the Internet near you!
(SWAG)

12. Service Fabric

13. Azure App Service
Azure Virtual Machines/Scale Sets
Azure Service Fabric /
Cloud Services
Apps/Services
Visual
Studio
Analytics
& Insights
Data PaaS
Data IaaS
IoT
Cloud Infrastructure powered by Windows Server,
Hyper-V, System Center, and Azure technologies
Rapid
Development
MAXCONTROL

22. Queues Storage
Front End
(Stateless
Web)
Stateless
Middle-tier
Compute
Cache
Scale with partitioned
storage
Increase reliability with
queues
Reduce read latency with
caches
Manage your own
transactions for state
consistency
Many moving parts each
managed differently
Load Balancer
3-Tier service pattern

23. Stateful
Middle-tier
Compute
Front End
(Stateless
Web)
data stores used for analytics and disaster recovery
Application state lives in the
compute tier
Low Latency reads and
writes
Partitions are first class for
scale-out
Built in transactions
Fewer moving parts
Stateful services: Simplify design, reduce latency
Load Balancer

24. Azure
Windows
Server
Linux
Hosted Clouds
Windows
Server
Linux
Private Clouds
Windows
Server
Linux
Microservices
Container Orchestration
& lifecycle management Self-healingHigh Availability
Hyper-Scale
Hybrid Operations
High Density Rolling Upgrades
Stateful services
Low Latency
Fast startup &
shutdown
Replication &
Failover
Simple
programming
models
Load balancing
Data Partitioning
Automated Rollback
Health
Monitoring
Placement
Constraints
Service Fabric

25. Container Orchestration
& lifecycle management Self-healingHigh Availability
Hyper-Scale
Hybrid Operations
High Density Rolling Upgrades
Stateful services
Low Latency
Fast startup &
shutdown
Replication &
Failover
Simple
programming
models
Load balancing
Data Partitioning
Automated Rollback
Health
Monitoring
Placement
Constraints
Service Fabric
Microservices

26. Microservices

28. Node
Node
Node
Node
Node
Node

29. Node 103
P
S
S
Node 104
S
S
Node 102
P
S
S
S
Node 105
P
S
S
S
Node 101
S
S
P
Node 100
S
P
S
S
P
S
S
S

30. P
S
S
S
S
Read
Value

31. P
S
S
S
S
WriteWrite
WriteWrite
AckAck
Ack
Ack
Write
Ack

32. P
S
S
S
S
SB P
X
X

33. Container Orchestration
& lifecycle management Self-healingHigh Availability
Hyper-Scale
Hybrid Operations
High Density Rolling Upgrades
Stateful services
Low Latency
Fast startup &
shutdown
Replication &
Failover
Simple
programming
models
Load balancing
Data Partitioning
Automated Rollback
Health
Monitoring
Placement
Constraints
Service Fabric
Microservices

36. Collections
• Single machine
• Single threaded
Concurrent Collections
• Single machine
• Multi threaded
Reliable Collections
• Multi machine
• Replicated (HA)
• Persistence (durable)
• Asynchronous
• Transactional

43. Application
Package
Unit of
• Lifetime
• Versioning
• Isolation
Counter
Service type
Counter
WebApp type
Counter
Service
Pkg
Code Config
Counter
WebApp
Pkg
Application Type

44. Microservices

48. Azure Table
Operational
Insights
Application
and Service
Code
Service Fabric
Runtime
Event Tracing
for Windows
(ETW)
VS ETW Viewer (local
development)
Windows
Azure
Diagnostics
(WAD)

52. Provisioning

57. http://aka.ms/ServiceFabric

59. Microservices stateful & stateless
Reliable Services & Reliable Actors APIs
Scaled-out using partitioning & replication

60. magnus@loftysoft.com