π Microservices Communication Patterns Summary
Microservices communication patterns are the methods and rules used for different microservices to interact and exchange information within a distributed system. These patterns help ensure that services can communicate reliably, efficiently and securely, even when they are built and deployed independently. Common patterns include synchronous communication like HTTP APIs and asynchronous communication using messaging queues or event streams.
ππ»ββοΈ Explain Microservices Communication Patterns Simply
Imagine a group of friends working on a group project, each responsible for a different part. They need to talk to each other to share updates or ask for help. Sometimes they chat directly, other times they leave notes for each other to read later. Microservices communication patterns are like these ways friends use to keep in touch and get the project done together.
π How Can it be used?
A retail website can use microservices communication patterns to coordinate inventory, payment and shipping services seamlessly.
πΊοΈ Real World Examples
An online food delivery app uses synchronous HTTP APIs for customers to place orders and asynchronous messaging to notify restaurants and drivers about new orders, ensuring smooth coordination between different parts of the system.
A banking platform separates its account management, transaction processing and fraud detection into microservices. It uses event-driven communication so that when a transaction occurs, all related services are updated automatically without direct calls between them.
β FAQ
Why do microservices need special ways to communicate with each other?
Microservices are often built and managed by different teams, and they might even use different programming languages or technologies. Because of this, they need reliable and flexible ways to talk to each other. Good communication patterns help make sure information flows smoothly, even if some services are temporarily down or being updated.
What is the difference between synchronous and asynchronous communication in microservices?
Synchronous communication means one service waits for another to reply, like a phone call. Asynchronous communication is more like sending a letter, where the sender does not wait for an immediate response. Each approach has its own benefits, and the choice depends on how quickly a reply is needed and how tightly connected the services should be.
Can these communication patterns help make systems more reliable?
Yes, choosing the right communication patterns can improve the reliability of a system. For example, asynchronous messaging can help services keep working even if another service is temporarily unavailable. This means small problems are less likely to cause bigger issues, keeping everything running more smoothly.
π Categories
π External Reference Links
Microservices Communication Patterns link
π Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
π https://www.efficiencyai.co.uk/knowledge_card/microservices-communication-patterns
Ready to Transform, and Optimise?
At EfficiencyAI, we donβt just understand technology β we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Letβs talk about whatβs next for your organisation.
π‘Other Useful Knowledge Cards
Model Chooser
A Model Chooser is a tool or system that helps users select the most appropriate machine learning or statistical model for a specific task or dataset. It considers factors like data type, problem requirements, and performance goals to suggest suitable models. Model Choosers can be manual guides, automated software, or interactive interfaces that streamline the decision-making process for both beginners and experts.
Cloud Cost Frameworks
Cloud cost frameworks are structured approaches that help organisations understand, manage, and optimise the expenses related to their use of cloud services. These frameworks provide guidelines and methods for tracking spending, allocating costs to different teams or projects, and identifying areas where savings can be made. By using a cloud cost framework, businesses can make informed decisions about their cloud investments, ensuring they get value for money and avoid unexpected bills.
Applicant Tracking System
An Applicant Tracking System, or ATS, is software used by organisations to manage and streamline the recruitment process. It helps collect, organise, and track job applications and candidate information in one central place. Recruiters and hiring managers use ATS tools to screen CVs, schedule interviews, and communicate with candidates more efficiently.
Neuromorphic Sensor Integration
Neuromorphic sensor integration is the process of connecting sensors designed to mimic how the human brain senses and processes information with electronic systems. These sensors work by transmitting signals in a way similar to brain cells, allowing for faster and more efficient data processing. By integrating neuromorphic sensors, devices can react to their environment with low power usage and high responsiveness.
Smart Session Management
Smart session management refers to the techniques and tools used to efficiently handle user sessions in digital systems, such as websites and apps. It ensures users stay logged in securely, tracks their activity, and manages session timeouts to protect their data. Good session management balances convenience with security, making sure users have a smooth experience while reducing the risk of unauthorised access.