This document outlines various microservices patterns organized into 12 categories. It provides a unified naming structure for patterns along with the naming conventions used by Arcitura, Richardson, and Microsoft. Some key patterns include: service decomposition patterns like database per service and shared database; communication patterns like API composition and asynchronous messaging; deployment patterns like containerization and serverless deployment; and observability patterns like distributed tracing and log aggregation. The document aims to provide a common lexicon for discussing microservices architectural patterns.
Fundamentals of Networking and Security on AWS - AWS Summit Tel Aviv 2017Amazon Web Services
In this session, we walk through the fundamentals of Amazon VPC, it’s Security features and how you should make use of Identity and Access Management (IAM). First, we cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, VPC Endpoints, IAM Policies and more. We will also briefly consider the different approaches and use cases for optionally connecting your VPC to your physical data center. This fundamentals sessions is aimed at all new users to AWS, interested in understanding some of the building blocks that AWS makes available with Amazon VPC.
Fundamentals of Networking and Security on AWS - AWS Summit Tel Aviv 2017Amazon Web Services
In this session, we walk through the fundamentals of Amazon VPC, it’s Security features and how you should make use of Identity and Access Management (IAM). First, we cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, VPC Endpoints, IAM Policies and more. We will also briefly consider the different approaches and use cases for optionally connecting your VPC to your physical data center. This fundamentals sessions is aimed at all new users to AWS, interested in understanding some of the building blocks that AWS makes available with Amazon VPC.
IGEEKS is a Bangalore based Training & Recruitment company.
We offers osoftware training courses starting from absolute beginner level to advanced levels.Providing high quality training at affordable fees is our core value. All our trainers are working IT professionals with rich experience. We work with our students in developing the right skills they need to build their career in present competitive environment. We have flexible batch times to suit the timings of graduating students and working professionals.
Domain Driven Design provides not only the strategic guidelines for decomposing a large system into microservices, but also offers the main tactical pattern that helps in decoupling microservices. The presentation will focus on the way domain events could be implemented using Kafka and the trade-offs between consistency and availability that are supported by Kafka.
https://youtu.be/P6IaxNcn-Ag?t=1466
Shedding Light on LINE Token Economy You Won't Find in Our White PaperLINE Corporation
Toshimasa Nasu
LINE / Blockchain Lab
While the LINE Token Economy concept and white paper was published in late August 2018, technical details and future architectural plans were not. This session focuses on key topics surrounding LINE's blockchain technology, including LINE's decision to expand services utilizing blockchain technology, reasons behind LINE to develop/launch its own blockchain platform, current issues and how LINE is working to solve them, LINE Token Economy infrastructure for creating blocks, and architecture for Smart Contracts execution platform.
January 2017 - Deep dive on AWS Lambda and DevOpsDavid McDaniel
A deep dive on AWS Lambda using Java, how it's different from traditional architecture and designs, and how to alter thinking about DevOps and the value of your code.
GIT Details for people who:
* don't know what version control means
* don't know what distributed version control means
* Used to work on SVN (Subversion)
IGEEKS is a Bangalore based Training & Recruitment company.
We offers osoftware training courses starting from absolute beginner level to advanced levels.Providing high quality training at affordable fees is our core value. All our trainers are working IT professionals with rich experience. We work with our students in developing the right skills they need to build their career in present competitive environment. We have flexible batch times to suit the timings of graduating students and working professionals.
Domain Driven Design provides not only the strategic guidelines for decomposing a large system into microservices, but also offers the main tactical pattern that helps in decoupling microservices. The presentation will focus on the way domain events could be implemented using Kafka and the trade-offs between consistency and availability that are supported by Kafka.
https://youtu.be/P6IaxNcn-Ag?t=1466
Shedding Light on LINE Token Economy You Won't Find in Our White PaperLINE Corporation
Toshimasa Nasu
LINE / Blockchain Lab
While the LINE Token Economy concept and white paper was published in late August 2018, technical details and future architectural plans were not. This session focuses on key topics surrounding LINE's blockchain technology, including LINE's decision to expand services utilizing blockchain technology, reasons behind LINE to develop/launch its own blockchain platform, current issues and how LINE is working to solve them, LINE Token Economy infrastructure for creating blocks, and architecture for Smart Contracts execution platform.
January 2017 - Deep dive on AWS Lambda and DevOpsDavid McDaniel
A deep dive on AWS Lambda using Java, how it's different from traditional architecture and designs, and how to alter thinking about DevOps and the value of your code.
GIT Details for people who:
* don't know what version control means
* don't know what distributed version control means
* Used to work on SVN (Subversion)
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
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AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
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https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
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Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
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Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
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By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Unleash Unlimited Potential with One-Time Purchase
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First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
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3. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Externalized configuration NA Externalized configuration External Configuration Store
Microservice chassis NA Microservice chassis NA
Service Template NA Service Template NA
1. Utility Patterns (3 Patterns)
4. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Micro Task Abstraction Micro Task Abstraction
1
NA NA
CQRS Micro Task Segregation CQRS CQRS
Decompose by business capability NA Decompose by business capability NA
Decompose by subdomain NA Decompose by subdomain NA
Service per Team NA Service per Team NA
Strangler Fig NA Strangler Application Strangler Fig
* Note 1: Inherited from SOA style and patterns
2. Decomposition Patterns (6 Patterns)
5. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Database per service Dedicated Microservice Database Database per service NA
Shared Database Shared Isolated Database Shared Database NA
Materialized View Pre-Defined Data View NA Materialized View
Sharding NA NA Sharding
Event Sourcing Appended Events Event Sourcing Event Sourcing
3. Data Management Patterns (5 Patterns)
6. 4. Communication Patterns (17 Patterns)
Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
API Composition Microservice Compositor API Composition Gateway Aggregation
Gateway Routing Autonomous Proxy Service
2
API Gateway
2
Gateway Routing
Gatekeeper Gatekeeper
Gateway Offloading Gateway Offloading
Domain Event Synchronized Cross-Instance Events
3
Domain Event NA
Competing Consumers Async Queuing
4
Messaging
5
Competing Consumers
Queue-Based Load Leveling Queue-Based Load Leveling
Pipes and Filters Pipes and Filters
Claim Check Claim Check
Priority Queue Priority Queue
Sequential Convoy Sequential Convoy
Async Request-Reply Async Request-Reply
Publisher/Subscriber Event-Driven Messaging Publisher/Subscriber
Canonical Protocol Canonical Protocol
6
Domain-specific Protocol NA
Scatter Gather Micro Scatter-Gather NA NA
Idempotent Capability Idempotent Capability
6
Idempotent Consumer NA
Anti-Corruption Layer NA Anti-Corruption Layer Anti-Corruption Layer
* Note 2: Gatekeeper, Gateway Routing and offloading are considered as detailed patterns under API Gateway
* Note 3: In Arcitura, it is limited to sync data between instances of the same microservice, while Richardson pattern is more generic
* Note 4: Competing Consumers, Queue-based load leveling, async request-reply, Pipes and filters, claim check, priority queue and sequential convoy are considered detailed
patterns under Async Queuing pattern. Async Queuing Pattern is inherited from SOA patterns
* Note 5: Async Queuing and Publisher/Subscriber are considered detailed patterns under Async Messaging pattern.
* Note 6: Inherited from SOA Patterns
7. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Transactional Outbox Atomic Event Processing
7
Transactional outbox NA
Transaction log tailing Transaction log tailing NA
Polling publisher Polling publisher NA
Compensating Transaction Compensating Service Transaction
8
Saga
9
Compensating Transaction
Scheduler Agent Supervisor Scheduler Agent Supervisor
* Note 7: Atomic Event Processing includes Transaction Outbox, Transaction Tailing
* Note 8: Compensating Service Transaction is inherited from SOA patterns
* Note 9: Compensating Transaction and Scheduler Agent Supervisor are detailed patterns under Saga/Compensating Service Transaction.
5. Transaction Management Patterns (5 Patterns)
8. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Service Component Test NA Service Component Test NA
Consumer-driven contract test NA Consumer-driven contract test NA
Consumer-side contract test NA Consumer-side contract test NA
6. Testing Patterns (3 Patterns)
9. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Self-Contained Service Microservices Deployment Self-Contained Service Deployment stamps
Containerization Containerization Service deployment platform NA
Multiple Service Instances per host Single Node Multi-Containers Multiple service instances per host Compute Resource Consolidation
Serverless Deployment Serverless Microservice
Deployment
Serverless deployment NA
Service instance per host Microservice Isolation Levels
10
Service instance per host NA
Service instance per VM Service instance per VM NA
Service instance per Container Service instance per Container NA
Isolation Control Multi-Container Isolation Control NA NA
Rich Container Rich Container NA NA
Logical Pod Container Logical Pod Container NA NA
Sidecar Container sidecar NA Sidecar
Ambassador Microservice Ambassador NA Ambassador
Log Deployments and changes NA Log deployments and changes NA
7. Deployment Patterns (13 Patterns)
* Note 10: Service instance per host, per VM and per Container are considered as detailed patterns under Isolation Levels pattern
10. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Service Registry Metadata Centralization
11
Service registry NA
Self Registration Microservice Instance
Registration
12
Self Registration NA
3rd Party Registration 3rd Party Registration NA
Client-side discovery NA Client-side discovery NA
Server-side discovery NA Server-side discovery NA
8. Service Discovery Patterns (5 Patterns)
* Note 11: Metadata Centralization pattern is inherited from SOA patterns
* Note 12: Self-Registration and 3rd Party Registration are considered as detailed patterns under Microservice Instance Registration pattern
11. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Dynamic Scalability Dynamic Scalability NA NA
Service Load Balancing Service Load Balancing NA NA
Container Chain Container Chain NA NA
Leader Election Leader Node Election NA Leader Election
Circuit Breaker NA Circuit Breaker Circuit Breaker
Bulkhead NA NA Bulkhead
Cache-Aside NA NA Cache-Aside
Geodes NA NA Geodes
Retry NA NA Retry
Index Table NA NA Index Table
Throttling NA NA Throttling
9. Performance & Reliability Patterns (11 Patterns)
12. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Access Token Brokered Authentication
13
Access Token Valet Key
Federated Identity NA Federated Identity
10. Security Patterns (2 Patterns)
13. Brokered Authentication pattern covers Access Token pattern and Federated Identity. Brokered Authentication is inherited from SOA Patterns
13. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Distributed tracing Distributed Diagnostics Distributed tracing NA
Log aggregation Log Aggregator Log aggregation NA
Application metrics NA Application metrics NA
Audit logging NA Audit logging NA
Exception tracking NA Exception tracking NA
Health check API NA Health check API Health Endpoint Monitoring
11. Observability Patterns (6 Patterns)
14. Unified Pattern Name Arcitura Naming Richardson Naming Microsoft Naming
Server-side page fragment
Composition
NA Server-side page fragment
Composition
NA
Client-side UI Composition NA Client-side UI Composition NA
Backend for Frontend NA Backend for front-end Backends for Frontends
12. UI Patterns (3 Patterns)