Distributed Computing made easy with Service Fabric
8 likes2,367 views
Azure Service Fabric is a distributed systems platform designed to facilitate the development of scalable, reliable, and low-latency applications for the cloud, allowing businesses to focus on their needs while ensuring application availability. It supports both stateful and stateless services, providing features like container orchestration, automated rollback, and health monitoring. The platform enables rapid development and management of services with high availability and scalability capabilities.
Distributed Computing made easy with Service Fabric
- 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
- 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!
- 8. Your Integration User Group
- 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
- 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
- 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
- 59. Microservices stateful & stateless Reliable Services & Reliable Actors APIs Scaled-out using partitioning & replication