登录查看更多内容

What are the most important performance optimization techniques for microservices architecture?

由人工智能和领英社区提供技术支持

Microservices architecture is a popular way of designing and deploying scalable and resilient applications that consist of small, independent, and loosely coupled services. However, microservices also introduce some challenges and trade-offs, such as increased network overhead, latency, complexity, and testing. Therefore, performance optimization is a crucial aspect of microservices development and operation. In this article, you will learn about some of the most important performance optimization techniques for microservices architecture, and how they can help you improve your application's speed, efficiency, and reliability.

此文章中的业界达人

由社区从 23 条内容中精选。了解更多

Atul Kumar

430K+ Brains | Building at Growth Eye | AI Enthusiast | Helping For Jobseekers | Building Personal Brands For Founders…
Rohit Khare

API Management and Security Gateways-Integration Specialist
Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente

1 Choose the right communication protocol

One of the first decisions you have to make when designing a microservices architecture is how your services will communicate with each other and with external clients. There are different communication protocols available, such as HTTP, gRPC, AMQP, MQTT, and others, each with its own advantages and disadvantages. Depending on your application's requirements, you should choose the protocol that best suits your needs in terms of performance, security, scalability, and interoperability. For example, if you need high throughput, low latency, and binary data transfer, you might opt for gRPC, which is a fast and efficient protocol based on HTTP/2 and protobuf. On the other hand, if you need more flexibility, reliability, and message-oriented communication, you might prefer AMQP or MQTT, which are popular protocols for asynchronous messaging and event-driven architectures.

添加您的观点

Atul Kumar

430K+ Brains | Building at Growth Eye | AI Enthusiast | Helping For Jobseekers | Building Personal Brands For Founders and Start-ups | Social Media Growth, Planning & Management
举报内容
In the realm of microservices architecture, selecting the right communication protocol is a critical performance optimization technique. The choice between protocols like HTTP/REST and lightweight options such as gRPC can significantly impact system efficiency. While RESTful APIs offer simplicity and widespread compatibility, gRPC's binary serialization and multiplexing capabilities can lead to faster communication, reducing latency. Understanding the specific requirements of your microservices ecosystem and carefully assessing the trade-offs between protocols are pivotal steps in ensuring optimal performance and seamless communication within a distributed architecture.

已翻译

赞
Felipe Menendes

Site Reliability Engineer | AWS Certified | CI/CD Automation | Kubernetes | Cloud Infrastructure Architect
举报内容
Podemos acrescentar que Kafka pode ser um dos eleitos também, além de servi?os gerenciados como SQS e SNS da AWS por exemplo.

已翻译

赞
Kevin M.

7+ YoE | Fullstack Developer | Node.js | Laravel | TypeScript | React.js | Vue.js | Docker | CI/CD Enthusiast | Building Scalable, Innovative Solutions | ??????
举报内容
In the microservices landscape, opting for the appropriate communication protocol stands out as a crucial strategy for optimizing performance. The decision between traditional choices like HTTP/REST and more streamlined alternatives like gRPC holds substantial sway over system efficiency. While RESTful APIs provide simplicity and broad compatibility, gRPC distinguishes itself with advantages like binary serialization and multiplexing, promoting swifter communication and minimizing latency. To achieve optimal performance and seamless communication within a distributed architecture, it's imperative to grasp the specific requirements of your microservices ecosystem and thoughtfully weigh the trade-offs between different protocols.

已翻译

赞
Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente
举报内容
Como todo en este maravilloso mundo que es la informática depende mucho del proyecto que queramos desarrollar. Hay varias cosas que tenemos que tener en cuenta para eso: - Síncrono o Asíncrono - ?Son en tiempo real? Bajo mi punto de vista eso te marca que protocolo debe de ser. Además, la elección de protocolos debe ser flexible y adaptarse a los requisitos cambiantes de tu aplicación

已翻译

赞
Cristian Medrano

Responsable de soporte técnico en Fundación CEA
举报内容
La codificación sana, basada en las mejores prácticas, aportara la eficiencia necesaria al desempe?o de la arquitectura que se defina de acuerdo con los requerimientos del negocio y proporcionara facilidad para la integración, gestión, escalabilidad o ajustes para modificar su comportamiento.

已翻译

赞

加载更多内容

2 Implement caching and load balancing

Another key technique for optimizing microservices performance is to implement caching and load balancing mechanisms. Caching is the process of storing frequently accessed or expensive data in a fast and accessible storage layer, such as memory or disk, to reduce the number of requests to the original data source, such as a database or an external API. Caching can improve the response time, availability, and scalability of your microservices, as well as reduce the load on your resources. Load balancing is the process of distributing the incoming requests among multiple instances of your services, to ensure that no single service is overloaded or becomes a bottleneck. Load balancing can also improve the performance, reliability, and fault tolerance of your microservices, as well as enable horizontal scaling and failover.

添加您的观点

Rohit Khare

API Management and Security Gateways-Integration Specialist
举报内容
Along with caching, pagination is other important aspect to be considered which will help in improving API performance. Load balancing with correct scheduling algorithm is key factor.

已翻译

赞
Atul Kumar

430K+ Brains | Building at Growth Eye | AI Enthusiast | Helping For Jobseekers | Building Personal Brands For Founders and Start-ups | Social Media Growth, Planning & Management
举报内容
Implementing caching and load balancing emerges as a key performance optimization strategy in microservices architecture. Caching mechanisms, whether at the application or database level, reduce redundant computations and queries, enhancing response times. Concurrently, load balancing distributes incoming traffic across multiple microservices instances, preventing overburdening on specific nodes and ensuring resource utilization efficiency. These techniques collectively contribute to improved scalability, reliability, and overall performance within a microservices ecosystem, supporting the seamless delivery of services in dynamic and distributed environments.

已翻译

赞
Felipe Menendes

Site Reliability Engineer | AWS Certified | CI/CD Automation | Kubernetes | Cloud Infrastructure Architect
举报内容
Na maioria das implanta??es dos quais eu monto os ambiente escaláveis, implantamos solu??es de cache redis. o que traz uma excelente melhora no desempenho. CDN ajudam bastante também!

已翻译

赞
Pedro Morales

Senior PHP Web Developer & Magento 2 Specialist
举报内容
Un servicio como Fastly puede ser una buena opción para cachear tus webs, así como Redis y balancear las cargas en varios servidores.

已翻译

赞
Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente
(已编辑)
举报内容
En el dise?o de arquitecturas de microservicios, la optimización del rendimiento es esencial para garantizar la eficiencia y la escalabilidad del sistema. Dos componentes críticos para lograr este objetivo son la implementación efectiva de almacenamiento en caché y el uso adecuado de estrategias de balanceo de carga. Almacenamiento en Caché para Mejorar la Eficiencia: La implementación de un sistema de almacenamiento en caché permite acelerar el acceso a datos frecuentemente solicitados, reduciendo la carga en las bases de datos y mejorando significativamente los tiempos de respuesta. Es crucial identificar los datos candidatos para la caché y seleccionar la estrategia más adecuada según las necesidades de la aplicación.

已翻译

赞

3 Monitor and optimize resource usage

A third technique for optimizing microservices performance is to monitor and optimize the resource usage of your services, such as CPU, memory, disk, and network. By using appropriate tools and metrics, you can track the performance and behavior of your services, identify any issues or bottlenecks, and apply corrective actions or improvements. For example, you can use tools like Prometheus, Grafana, or Zipkin to collect and visualize data about your microservices' health, performance, and dependencies. You can also use tools like Docker or Kubernetes to manage and optimize the resource allocation and utilization of your services, by applying techniques like containerization, orchestration, resource limits, autoscaling, or service mesh.

添加您的观点

Atul Kumar

430K+ Brains | Building at Growth Eye | AI Enthusiast | Helping For Jobseekers | Building Personal Brands For Founders and Start-ups | Social Media Growth, Planning & Management
举报内容
Monitoring and optimizing resource usage stand out as crucial performance optimization techniques in microservices architecture. Implementing robust monitoring tools allows for real-time visibility into the performance of individual microservices, enabling quick identification of bottlenecks or inefficiencies. With this insight, developers can then fine-tune resource allocation, scale services horizontally, and optimize database queries to enhance overall system efficiency. Proactive resource management ensures that microservices operate within defined thresholds, preventing issues like resource contention and latency.

已翻译

赞
Felipe Menendes

Site Reliability Engineer | AWS Certified | CI/CD Automation | Kubernetes | Cloud Infrastructure Architect
举报内容
Observabilidade é crucial! Um dos fatores que podem ajudar a tomar decis?es baseada em eventos reais dos quais est?o levando o app a ter melhor ou pior desempenho.

已翻译

赞
Pedro Morales

Senior PHP Web Developer & Magento 2 Specialist
举报内容
Grafana junto con Tideways pueden ser buenas opciones para medir y localizar posibles malas praxis de código a la hora de optimizar, realizando consultas excesivas a la BBDD por ejemplo, así como visualizar el consumo de recursos durante determinados tests.

已翻译

赞
Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente
举报内容
La optimización en microservicios es esencial. Monitorea activamente recursos con herramientas como Prometheus, establece alertas proactivas y ajusta límites de contenedores para maximizar eficiencia. Implementa escalabilidad automática y gestión de versiones eficiente para adaptarte a la carga y actualizar sin interrupciones. Optimiza consultas a bases de datos, minimiza sobrecarga de red y realiza pruebas de estrés para entender y ajustar límites del sistema. Analiza costos para optimizar gastos y realiza revisiones regulares de arquitectura y configuración para mantener la eficiencia.

已翻译

赞
Alisson Gabriel
举报内容
Vale ressaltar a importancia que é monitorar os recursos, tendo em vista custos desnecessários, eficiência operacional e escalabilidade e identifica??o de problemas.

已翻译

赞

4 Apply best coding practices

A fourth technique for optimizing microservices performance is to apply best coding practices when developing and testing your services. By following some common principles and guidelines, you can improve the quality, maintainability, and efficiency of your code, as well as avoid some common pitfalls and errors. For example, you can apply the SOLID principles, which are a set of design principles for object-oriented programming that promote cohesion, coupling, abstraction, and polymorphism. You can also apply the DRY principle, which stands for Don't Repeat Yourself, and encourages code reuse and modularity. Moreover, you can use code analysis tools, such as SonarQube or Codacy, to detect and fix code smells, bugs, vulnerabilities, or performance issues in your code.

添加您的观点

Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente
举报内容
Aplicar las mejores prácticas de codificación es una cuarta técnica crucial para optimizar el rendimiento de los microservicios. Al seguir principios y directrices como los principios SOLID, dise?ados para la programación orientada a objetos, se mejora la calidad y eficiencia del código al promover cohesión, acoplamiento adecuado, abstracción y polimorfismo.

已翻译

赞
Felipe Menendes

Site Reliability Engineer | AWS Certified | CI/CD Automation | Kubernetes | Cloud Infrastructure Architect
举报内容
Nas minhas experiências temos aplicado com sucesso o SonarQube, o que melhora a qualidade de código significativamente. Importante atribuir isso em uma esteira CI/CD.

已翻译

赞
Pedro Morales

Senior PHP Web Developer & Magento 2 Specialist
举报内容
Algo que puedes utilizar también para probar su funcionamiento e implementación, es por ejemplo Deployer junto a los pipeline de bitbucket por ejemplo, que permite la automatización de Testeo y despliegue de tu repositorio con solo mergear rama en master o como quieras configurarlo.

已翻译

赞
Alisson Gabriel
举报内容
Uso de ferramentas de linting ajuda muito também no quesito de ter um código mais legível e padronizado, ajudando também a identificar práticas inadequadas que podem comprometer desempenho e seguran?a.

已翻译

赞

5 Test and benchmark your services

A fifth technique for optimizing microservices performance is to test and benchmark your services regularly and systematically. By testing your services, you can ensure that they meet the functional and non-functional requirements, such as correctness, reliability, security, and performance. By benchmarking your services, you can measure and compare their performance under different conditions, such as load, concurrency, or network latency. Testing and benchmarking can help you identify and resolve any performance problems or bottlenecks, as well as optimize and improve your services' performance. For example, you can use tools like JMeter, Gatling, or Locust to perform load testing and performance testing on your services. You can also use tools like Apache Benchmark, WRK, or Siege to perform benchmarking and stress testing on your services.

添加您的观点

Felipe Menendes

Site Reliability Engineer | AWS Certified | CI/CD Automation | Kubernetes | Cloud Infrastructure Architect
举报内容
Também usei com sucesso o JMETER para testar as requisi??es das aplica??es que eu administro, inclusive para validar se o compramento de escalabilidade e disponibilidade tem a resposta adequada.

已翻译

赞
Antonio Martín León

Ingeniero Informático en Romero & Simón | PHP | Laravel | Docente
举报内容
Las técnicas propuestas para optimizar el rendimiento de los microservicios son fundamentales y abordan aspectos clave de su desarrollo. La elección cuidadosa de tecnologías, la implementación de almacenamiento en caché y equilibrio de carga, la aplicación de principios sólidos de codificación y la realización regular de pruebas y comparativas son pilares esenciales. La sinergia entre estas prácticas fortalece la eficiencia, escalabilidad y mantenibilidad de los microservicios, asegurando que respondan de manera efectiva a las demandas cambiantes del entorno. Este enfoque integral no solo mejora el rendimiento técnico, sino que también facilita la gestión y evolución continua de arquitecturas basadas en microservicios.

已翻译

赞

6 Update and upgrade your services

A sixth technique for optimizing microservices performance is to update and upgrade your services periodically and continuously. By updating your services, you can apply the latest patches, bug fixes, or security updates to your code, libraries, frameworks, or dependencies. By upgrading your services, you can adopt the latest features, enhancements, or improvements to your code, libraries, frameworks, or dependencies. Updating and upgrading can help you keep your services up to date, secure, and efficient, as well as take advantage of the latest technologies and innovations. For example, you can use tools like Git, Maven, or NPM to manage and update your code and dependencies. You can also use tools like Jenkins, Travis CI, or GitHub Actions to automate and streamline your update and upgrade processes.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Computer Engineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the most important performance optimization techniques for microservices architecture?

1

2

3

4

5

6

7

1 Choose the right communication protocol

2 Implement caching and load balancing

3 Monitor and optimize resource usage

4 Apply best coding practices

5 Test and benchmark your services

6 Update and upgrade your services

7 Here’s what else to consider

Computer Engineering

给文章评分

感谢您的反馈

更多Computer Engineering相关文章

更多相关阅读内容

What are the most important performance optimization techniques for microservices architecture?

1

2

3

4

5

6

7

1 Choose the right communication protocol

2 Implement caching and load balancing

3 Monitor and optimize resource usage

4 Apply best coding practices

5 Test and benchmark your services

6 Update and upgrade your services

7 Here’s what else to consider

Computer Engineering

给文章评分

感谢您的反馈

查看其他技能