From employee to freelance developer in 10 steps - DevTeach - 2017-07-04
Devteach 2016: A practical overview of actors in service fabric
Transcript of Devteach 2016: A practical overview of actors in service fabric
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A PRACTICAL OVERVIEW OF
ACTORS IN SERVICE FABRIC
Service Fabric enables you to build and operate always-on, hyper-scale services using the same technology powering Microsoft’s Cloud.
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ABOUT ME
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TODAY WE’RE GOING TO LEARN ABOUT Microsoft Azure – a public cloud Microservices – an architectural pattern Service Fabric – a hyper-scale microservice platform Reliable Actors – a programming model
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LIVE Q&A
Browse to http://bit.ly/dt-qna API : http://liveqna.alexandrebrisebois.com/api Demo Source: http://bit.ly/git-qna-demo
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MICROSOFT AZURE Pushing innovation to its limits
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WHAT DO ALL OF THESE HAVE IN COMMON?
Azure Core
Infrastructure
thousands of
machinesPower
BI
Intune
over 1m
devices
Azure SQL
Database
millions of
databases
Bing Cortana
500m evals/sec
Azure Docume
nt DB
billions transactions/wee
k
Skype for
Business
Hybrid OpsEvent Hubs20bn
events/day
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• Single monolithic• database
MICROSERVICES• Graph of interconnected microservices• State typically scoped to the microservice• Variety of technologies used • Remote Storage for cold data
stateless services with separate stores
stateful services
stateless presentation services
Tiers of specific technologies
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WHY MICROSERVICES? Allows us to get closer to the business Provides the business with agility Small focussed teams Reduced time-to-customer
Design/ DevelopOperateUpgrade
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SERVICE FABRICService Fabric enables you to build and operate always-on, hyper-scale services using the same technology powering Microsoft’s Cloud.
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SERVICE FABRIC
• 1 instance per VM• Uneven utilization• Low density• Slow deployment & upgrade
(bound to VM)• Slow scaling and failure recovery• Limited fault tolerance
• Many microservices per VM• Even Utilization (by default,
customizable)• High density (customizable)• Fast deployment & upgrade• Fast scaling of independent
microservices• Tunable fast fault tolerance
Conventional ServicesService Fabric
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SERVICE FABRIC
Private cloud
LifecycleMgmt
Independent Scaling
Independent Updates
Always On
Availability
ResourceEfficient
Stateless/Stateful
Public Cloud Other Clouds
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SERVICE FABRIC
Communication
SubsystemService discovery
ReliabilitySubsystem
Reliability, Availability, Replication,
Service Orchestration
Hosting & ActivationSubsystem
Application lifecycle
TestabilitySubsystemFault Inject,
Test in productionFederationFederates a set of nodes to form a consistent scalable fabric
TransportSecure point-to-point communication
Application Programming Models
ManagementSubsystemDeployment, Upgrade and Monitoring
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WHY SERVICE FABRIC?Scalability – support variable demandHigh Availability – always onReliability – predictable outcomesResiliency – self healing (adapts to adversity) Durability – guarantees data persistence
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SERVICE FABRIC – PROGRAMMING MODELS
Guest Executables
• Bring any exe• Any language• Any programming
model• Packaged as Application• Gets versioning,
upgrade, monitoring, health, etc.
Reliable Services
• Stateless & stateful services
• Concurrent, granular state changes
• Use of the Reliable Collections
• Transactions across collections
• Full platform integration
Reliable Actors
• Stateless & Stateful actor objects
• Simplified programming model
• Single Threaded model• Great for scaled out
compute and state
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SERVICE FABRIC – RELIABLE ACTORS Independent units of compute and state Large number of processes executing in parallel Communicates using asynchronous messaging Single threaded execution Automatically created and dehydrated as necessary
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SERVICE FABRIC – CATTLE NOT PETS!
Node 5Node 4Node 3 Node 6Node 2Node 1
P2
S
SS
P4SP1
SP3SS
S
Service partitions are striped across machines in the cluster.
Replicas automatically scale out & in on cluster changes
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LIVE QNA MICROSERVICE ARCHITECTURE
Session
Transcript Transcript View4.2) Update
4.1) Register
4.3) Reminder
ParticipantParticipantParticipant
Has
Questions
Has
Session List
Has
ParticipantQuestion
API
1) Register2) List
3) Join
5) Create
6) AddQuestion
4) Read
4.4) Reads
Uses
Transcript ViewTranscript View
No State Persistence
Volatile State Persistence
Persisted to Disk
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SERVICE FABRIC – ACTOR
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SERVICE FABRIC – ACTOR – ID KINDS
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SERVICE FABRIC – ACTOR – STATE
Reads are completed at the primary Writes are replicated to the write quorum of secondaries
P
S
S
S
SWriteWrite
WriteWrite
AckAck AckAck
ReadValue WriteAck
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SERVICE FABRIC – ACTOR – STATE
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SERVICE FABRIC – ACTOR – STATE
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SERVICE FABRIC – ACTOR – STATE
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SERVICE FABRIC – ACTOR – PERSISTING STATE
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SERVICE FABRIC – ACTOR – PERSISTING STATE
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SERVICE FABRIC – ACTOR – READING STATE
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SERVICE FABRIC – ACTOR – READING STATE
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SERVICE FABRIC – ACTOR – INITIALIZATION
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SERVICE FABRIC – ACTOR – REMOVING STATE
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SERVICE FABRIC – ACTOR – ENUMERATION
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SERVICE FABRIC – ACTOR – DELETING
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SERVICE FABRIC – ACTOR – CUSTOM DATA TYPES
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SERVICE FABRIC – ACTOR – TIMERS
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SERVICE FABRIC – ACTOR – REMINDERS
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SERVICE FABRIC – ACTOR – POLYMORPHISM
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SERVICE FABRIC – ACTOR – POLYMORPHISM
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SERVICE FABRIC – ACTOR – REENTRANCY
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SERVICE FABRIC – ACTOR – EVENT PRODUCER
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SERVICE FABRIC – ACTOR – EVENT SUBSCRIBER
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SERVICE FABRIC – RELIABLE ACTORSDo not use Reliable Actors when You need distributed transactions You want to control concurrency, partitioning and communication If you need reliable collections
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SERVICE FABRIC – RELIABLE ACTOR FAILOVER Types of reconfiguration Primary failover Removing a failed
secondary Adding recovered replica Building a new secondary
Replica States None Idle Secondary Active Secondary Primary
P
S
S
S
S
S
Must be safe in the presence of cascading failures
B PXFailed
XFailed
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MONITORING YOUR SERVICES
Performance and stress response• Rich built-in metrics for Actors and Services programming
models• Easy to add custom application performance metrics
Health status monitoring• Built-in health status for cluster and services• Flexible and extensible health store for custom app health
reporting• Allows continuous monitoring for real-time alerting on
problems in production
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DIAGNOSTICS AND TROUBLESHOOTING
• Repair suggestions. Examples: Slow RunAsync cancellations, RunAsync failures
• All important events logged. Examples: App creation, deploy and upgrade records. All Actor method calls.
Detailed System Optics
• ETW == Fast Industry Standard Logging Technology• Works across environments. Same tracing code runs on
devbox and also on production clusters on Azure.• Easy to add and system appends all the needed metadata
such as node, app, service, and partition.
Custom Application Tracing
• Visual Studio Diagnostics Events Viewer• Windows Event Viewer• Windows Azure Diagnostics + Operational Insights• Easy to plug in your preferred tools: Kibana, Elasticsearch
and more
Choice of Tools
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SERVICE FABRIC – ACTOR – SCENARIOS Highly available services Scalable services Computation on nonstatic data Source: https://azure.microsoft.com/en-us/documentation/articles/service-fabric-application-scenarios/
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SERVICE FABRIC – ACTOR – SCENARIOS Session-based interactive applications Distributed graph processing Data analytics and workflows Source: https://azure.microsoft.com/en-us/documentation/articles/service-fabric-application-scenarios/
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SERVICE FABRIC – ACTOR – PATTERNS
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SERVICE FABRIC – ACTOR – PATTERNS GRASP – General Responsibility Assignment Software Principles https://en.wikipedia.org/wiki/GRASP_(object-oriented_design)
"Gang of Four“ Design Patterns https://en.wikipedia.org/wiki/Design_Patterns
SOLID https://en.wikipedia.org/wiki/SOLID_(object-oriented_design) single responsibility open-closed Liskov substitution interface segregation dependency inversion
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Idempotence https://en.wikipedia.org/wiki/Idempotence
Idempotence is the property of certain operations in mathematics and computer science, that can be applied multiple times without changing the result beyond the initial application. The concept of idempotence arises in a number of places in abstract algebra and functional programming.
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Circuit Breaker Pattern https://msdn.microsoft.com/en-us/library/dn589784.aspx
Gatekeeper Pattern https://msdn.microsoft.com/en-us/library/dn589793.aspx
Index Table Pattern https://msdn.microsoft.com/en-us/library/dn589791.aspx
Source https://msdn.microsoft.com/en-us/library/dn568099.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Circuit Breaker Patternhttps://msdn.microsoft.com/en-us/library/dn589784.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Gatekeeper Patternhttps://msdn.microsoft.com/en-us/library/dn589793.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Index Table Patternhttps://msdn.microsoft.com/en-us/library/dn589791.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Materialized View Pattern https://msdn.microsoft.com/en-us/library/dn589782.aspx
Pipes and Filters Pattern https://msdn.microsoft.com/en-us/library/dn568100.aspx
Sharding Pattern https://msdn.microsoft.com/en-us/library/dn589797.aspx
Source https://msdn.microsoft.com/en-us/library/dn568099.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Materialized View Patternhttps://msdn.microsoft.com/en-us/library/dn589782.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Pipes and Filters Pattern https://msdn.microsoft.com/en-us/library/dn568100.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Sharding Patternhttps://msdn.microsoft.com/en-us/library/dn589797.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Cache-Aside Pattern https://msdn.microsoft.com/en-us/library/dn589799.aspx
Compute Resource Consolidation Pattern https://msdn.microsoft.com/en-us/library/dn589778.aspx
Priority Queue Pattern https://msdn.microsoft.com/en-us/library/dn589794.aspx
Source https://msdn.microsoft.com/en-us/library/dn568099.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Cache-Aside Patternhttps://msdn.microsoft.com/en-us/library/dn589799.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Compute Resource Consolidation Patternhttps://msdn.microsoft.com/en-us/library/dn589778.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Priority Queue Patternhttps://msdn.microsoft.com/en-us/library/dn589794.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Throttling Pattern https://msdn.microsoft.com/en-us/library/dn589798.aspx
Idempotence https://en.wikipedia.org/wiki/Idempotence Source
https://msdn.microsoft.com/en-us/library/dn568099.aspx
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SERVICE FABRIC CLOUD DESIGN PATTERNS
Throttling Patternhttps://msdn.microsoft.com/en-us/library/dn589798.aspx
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SERVICE FABRIC – ACTOR – PATTERNS
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SERVICE FABRIC – ACTOR – PATTERNS
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QESTIONS & ANSWERSGet in Touch
Twitter: @Brisebois Blog: http://bit.ly/blog-alex Email: [email protected]
Service Fabric Resources Documentation: http://aka.ms/servicefabric
SDK: http://aka.ms/servicefabricSDK QnA Demo Code: http://bit.ly/git-qna-demo