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Kovalenko Volodymyr "Distributed Systems: Theory and Practice"

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This document discusses distributed systems and provides examples of distributed architectures from companies like Pinterest, Netflix, and Uber. It defines distributed systems and outlines their main characteristics, including resource sharing, concurrency, openness, scalability, fault tolerance, and visibility. Typical components of distributed systems like API gateways, messaging, data storage, analytics, and presentation layers are described. Additional topics covered include CAP theorem, scalability, fault tolerance, and visibility.

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www.luxoft.com 1 Distributed Systems: Theory and Practice Volodymyr Kovalenko
www.luxoft.com Expected content ‣ Microservice architecture examples ‣ Main principles and theory worth remembering ‣ Lots of pictures
www.luxoft.com Expected result ‣ Revise highlevel picture and main topics ‣ Find out few insights and ideas ‣ Provide directions for further self-learning
www.luxoft.com About Me ‣ Doing Egineering for 8 years ‣ Technical Lead at Luxoft ‣ Part-time Java consultant ‣ Co-Founder at MakeMeBest ‣ Enjoy running facebook.com/templatevk t.me/templatevk
www.luxoft.com Definition of a Distributed System A distributed system is a system whose components are located on different networked computers, which communicate and coordinate their actions by passing messages to one another (c) Wikipedia
www.luxoft.com
www.luxoft.com Main characteristics ‣ Resource Sharing - hardware, software, data ‣ Concurrency - reduce latency, increase throughput ‣ Openness - standard interfaces ‣ Scalability - horizontal ‣ Fault Tolerance - everything can fail ‣ Visibility / Transparency - high-level view, detailed analytics
www.luxoft.com
www.luxoft.com Pinterest Architecture - 35M DAU
www.luxoft.com Netflix Architecture - 33M DAU
www.luxoft.com Uber Architecture - 30M DAU
www.luxoft.com
www.luxoft.com
www.luxoft.com Typical Components ‣ API Gateway ‣ Messaging / Streaming ‣ Data Storage ‣ Analytics ‣ Presentation
www.luxoft.com API Gateway ‣ Load Balancing / Routing ‣ Security ‣ Logging / Metrics ‣ Throttling / Rate Limiting ‣ Canary Release ‣ Blue Green Deployment
www.luxoft.com Messaging / Transport ‣ Asynchronous / Synchronous ‣ Reliable / Unreliable ‣ Request-Response / Streaming ‣ OSI level 3-7
www.luxoft.com Data Storage ‣ RDBMS - ACID ‣ NoSQL - BASE ‣ Data Warehouse ‣ HDFS ‣ Consensus / External Config
www.luxoft.com ‣ Distributed Tracing ‣ Performance Monitoring ‣ System / Business Metrics Analytics
www.luxoft.com Presentation
www.luxoft.com Is the system CAPable? ‣ Consistency - a read is guaranteed to return the most recent write ‣ Availability - a non-failing node will return a reasonable response within a reasonable amount of time (no error or timeout). ‣ Partition Tolerance - the system will continue to function when network partitions occur. CP / AP/ CA
www.luxoft.com Scalability ‣ Vertical / Horizontal ‣ Metrics-based ‣ Decomposition ‣ Manual / Auto
www.luxoft.com
www.luxoft.com Scalability - Application Design ‣ Partition the workload ‣ Design for scaling ‣ Scale as a unit ‣ Avoid client affinity ‣ Offload intensive CPU/IO tasks & distribute the workload ‣ Send requests in batches to optimize network use ‣ Use asynchronous calls
www.luxoft.com Scalability - Data Management ‣ Use data partitioning ‣ Design for eventual consistency ‣ Use queues to level the load for high velocity data writes ‣ Aggressively use caching ‣ Handle data growth and retention ‣ Consider denormalizing data
www.luxoft.com Fault tolerance ‣ Healthchecks ‣ Timeouts ‣ Retries ‣ Circuit Breaker ‣ Rate Limiting ‣ Bulkhead ‣ Chaos Engineering
www.luxoft.com
www.luxoft.com Visibility ‣ Collect Metrics ‣ Alerts / Duty ‣ Centralized Logging ‣ Exception Management ‣ Distributed Tracing ‣ Performance Monitoring
www.luxoft.com
www.luxoft.com What's the Global Trend?
www.luxoft.com Thank You!

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