Communication in a Microservice Architecture (Ljubljana Backend Meetup 2021)
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This is my updated presentation on Communication in a Microservice Architecture. There are many different approaches to how you let your microservices communicate with one another. Be it asynchronous or synchronous, choreographed or orchestrated, eventual consistent or distributedly transactional, fault-tolerant, or just a mess! In this session, I will provide an overview of different concepts of microservice communication and their pros & cons. On the way, I'll try to throw in some anecdotes, success stories, and failures I learned from so that you can hopefully take something home with you.
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How Azure turns out to be vital for Soludoc's innovation strategy (Geert Truy...
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presentation_SB_v01
This document summarizes a thesis on developing a distributed architecture for web browsing troubleshooting. The architecture integrates network measurement and analysis techniques through real-time data sharing across peers. It applies a dynamic distributed K-means clustering algorithm to partition browsing data from different locations into clusters representing performance issues. Experiments using the architecture identified local and non-local network problems affecting different peers. Future work could include testing with more peers, optimizing resource usage, and developing a user-friendly interface.
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Streaming is a Detail
"We can all agree that streaming is super cool. And for a while now, the adoption conversation has been largely led with an all-in mentality. But that’s silly. The only concerns end users have are:
-The freshness of their data
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Luckily, the industry has realized this and we have seen a shift of streaming capabilities surfacing as an in-database technology, via objects as trivial to analytics engineers as views - materialized that is. With this convergence of streaming capabilities and batch level accessibility, this is when ELT tools like dbt can join in and expand out the adoption story.
dbt is the T in ELT, Extract Load and Transform. In dbt, analytics engineers design models - SQL (and occasional python) statements that encapsulate business logic. At runtime, dbt will wrap that logic in a DDL statement and send it over to the data platform to execute.
In this session, we’ll discuss how we see streaming at dbt Labs. We will dive into how we are extending dbt to support low-latency scenarios and the recent additions we have made to make batch and streaming allies in a DAG rather than archenemies."
Network and IT Ops Series: Build Production Solutions
Jeff Morris, Director, Neo4j:Are you building a breakthrough product or extending an existing one? Do you need introduce new capabilities based on insights from data relationships? If so, you should consider embedding a graph database.
For software providers building products to assure quality network operations or security, using an embedded graph database may open new customer opportunities. Watch this webinar to learn how you can easily differentiate your applications and take your solutions to market faster with a native graph database like Neo4j.
MRA AMA Part 6: Service Mesh Models
On-demand recording: https://www.nginx.com/resources/webinars/mra-ama-part-6-service-mesh-models/
Speakers:
Charles Pretzer
Technical Architect
NGINX, Inc.
Floyd Smith
Director of Content Marketing
NGINX, Inc.
About the webinar:
In this webinar, two models of the NGINX Microservices Reference Architecture, the Router Mesh Model and the Fabric Model, are shown as successively more capable implementations of a service mesh architecture. We compare the MRA models to Istio, linkerd, and other service mesh architectures, and show how the NGINX Kubernetes Ingress Controller allows direct use of these other architectures. Attendees of the live webinar will have the opportunity to ask questions.
Service mesh models are an emerging standard for microservices development and deployment. Popular architectures such as Istio and linkerd use a service mesh approach, including attributes such as load balancing capability, support for authorization and authentication, and use of the circuit breaker model for resiliency.
Watch this webinar to learn:
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_ How different service mesh architectures compare to each other
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Understanding Remote Peering – The New Wave of Interconnection at the Core of the Internet.
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Background
The Internet peering ecosystem is going through a historic and rapid paradigm shift.
The largest ISPs and content providers have always interconnected their networks at the core of the Internet using a technique called "Internet peering," the free and reciprocal exchange of access to each other's customers. In this way, networks of scale can exchange a large enough amount of traffic for free with one another to offset the cost of deployment (equipment, colocation, and transport to the colocation center). This justification is the basis for the business case for peering.
However, a recent trend -- called "remote peering" -- has emerged as a way to get these peering benefits but without the cost of additional equipment, transport, or colocation. The remote peering model is where a remote peering provider delivers transport to the customer router with Virtual Local Area Network (VLAN) extension(s) from the largest exchange points in the world. In this way, the customer gets all of the benefits of peering (performance, control over routing, direct relationships with the peer networks, etc.) without the large initial capital and operational costs.
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William B. Norton, Executive Director, DrPeering International and Author of the new 2014 Edition of “The Internet Peering Playbook: Connecting to the Core of the Internet” which includes a new chapter dedicated to remote peering.
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27
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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Communication in a Microservice Architecture (Ljubljana Backend Meetup 2021)
- 1. Communication in a Microservice Architecture Per Bernhardt, Engineering Manager June 17th 2021
- 3. 3
- 4. 4 Basics Synchronous vs. Asynchronous Integration Distributed Transactions vs. Eventual Consistency Service Routing Organisational Considerations Books Agenda
- 5. 5 Basics
- 6. 6 Basics – Leaving the Process User Content Search Sales Suggestions Images User Content Search Sales Suggestions Images
- 7. 7 Basics – Fallacies of distributed computing The network is reliable Latency is zero Bandwidth is infinite The network is secure Topology doesn't change There is one administrator Transport cost is zero The network is homogeneous
- 8. 8 Basics – Types of communication Synchronous protocol Sender Receiver Request Response Asynchronous protocol Sender Receiver Request
- 9. 9 Basics – Types of communication Orchestration Choreography Customer Service Loyality Service Post Service Email Service “Customer Created” Customer Service Loyality Service Post Service Email Service “Create Points Balance!” “Send Welcome Email” “Send Welcome Pack”
- 11. 11 Synchronous vs. Asynchronous Integration User Content Sales … Suggestions Images Frontend API New Product Synchronous
- 12. 12 Synchronous vs. Asynchronous Integration User Content Sales … Suggestions Images Frontend API New Product Content Images Suggestions Sales Synchronous Asynchronous
- 13. 13 Synchronous vs. Asynchronous Integration User Content Sales … Suggestions Images Frontend API New Product Content Images Suggestions Sales Asynchronous Content Images Content Images
- 14. 14 Synchronous vs. Asynchronous Integration “The one-hop rule: A service should not call other services to respond to a request.” https://messente.com/blog/most-recent/5-mistakes-transition-to-microservices
- 15. 15 Synchronous vs. Asynchronous Integration “Simply put, without decoupling the data, the architecture is not microservices.” https://martinfowler.com/articles/break-monolith-into-microservices.html
- 16. 16 Synchronous vs. Asynchronous Integration “So what about authentication??” Some random developer
- 18. 18 Distributed Transactions vs. Eventual Consistency - Transactions are technically hard…
- 19. 19 Distributed Transactions vs. Eventual Consistency – The Two Phase Commit (2PC)
- 20. 20 Distributed Transactions vs. Eventual Consistency – Eventual Consistency is conceptually hard…
- 21. 21 Distributed Transactions vs. Eventual Consistency – Eventual Consistency Content Service Search Service Updates content Searches content Eventually consistent
- 23. 23 Service Routing – Just a mess
- 24. 24 Service Routing – Service Mesh Service A Service B cluster-westeurope cluster-eastus proxy proxy Gateway Control Plane
- 25. 25 Service Routing – Service Mesh • Ingress & Egress Encryption • Traffic Optimisation • Metrics • Tracing • Retries • Circuit Breaker • …
- 27. 27 “Organizations which design systems [...] produce designs which are copies of the communication structures of these organizations.” M. Conway Organisational Considerations – Conway’s Law
- 29. 29 Organisational Considerations – Service Catalogue
- 30. 30 Books
- 31. 31 Books – Recommended Readings
- 32. 32 Q & A
Editor's Notes
- DETAIL: - Must be “orchestrated”
- EXAMPLES Daily synchronization via cronjob + orchestrated api calls Fast synchronization via Message Queue + Choreographed Services at LeanIX