๐ 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.
๐๐ปโโ๏ธ 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.
๐ How Can it be used?
A retail website can use microservices communication patterns to coordinate inventory, payment and shipping services seamlessly.
๐บ๏ธ 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.
โ 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.
๐ Categories
๐ External Reference Links
Microservices Communication Patterns link
Ready to Transform, and Optimise?
At EfficiencyAI, we donโt just understand technology โ 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.
Letโs talk about whatโs next for your organisation.
๐กOther Useful Knowledge Cards
Customer Data Platform
A Customer Data Platform, or CDP, is a software system that collects and organises customer information from different sources into one central database. This makes it easier for businesses to see all of a customer's interactions and behaviours in one place. With a CDP, companies can better understand their customers and provide more personalised experiences and marketing.
DNS Tunneling
DNS tunnelling is a technique that uses the Domain Name System (DNS) protocol to transfer data that is not usually allowed by network restrictions. It works by encoding data inside DNS queries and responses, which are typically allowed through firewalls since DNS is essential for most internet activities. This method can be used for both legitimate and malicious purposes, such as bypassing network controls or exfiltrating data from a protected environment.
Token Utility Frameworks
A token utility framework is a structured way to define how a digital token can be used within a blockchain-based system. It outlines the specific roles, rights, and functions that the token provides to its holders, such as access to services, voting on decisions, or earning rewards. By setting clear rules and purposes, these frameworks help ensure that a token has real value and practical use within its ecosystem.
Slashing Conditions
Slashing conditions are specific rules set in blockchain networks to penalise validators or participants who act dishonestly or break protocol rules. These conditions are designed to keep the network secure and discourage harmful behaviour. If a participant triggers a slashing condition, they may lose part or all of their staked tokens as a penalty.
Endpoint Detection and Response (EDR)
Endpoint Detection and Response (EDR) is a cybersecurity tool designed to monitor, detect, and respond to threats on devices such as computers, smartphones, and servers. EDR systems collect data from these endpoints and analyse it to find suspicious activity or attacks. They also help security teams investigate incidents and take action to stop threats quickly. EDR solutions often include features like threat hunting, real-time monitoring, and automated responses to minimise harm from cyberattacks.