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Service Meshes have been gaining a lot of popularity lately, more so amongst Spring and Java developers who wish to address cross cutting concerns. But, are you wondering what exactly are Service Meshes? What are some of the popular types out there? And most importantly, what kind of problems do they actually solve? Well, look no further! This blog is here to provide you with the answers you seek.
A service mesh is a dedicated infrastructure layer that helps manage communication between the various microservices within a distributed application. It acts as a transparent and decentralized network of proxies that are deployed alongside the application services. These proxies, often referred to as sidecars, handle service-to-service communication, providing essential features such as service discovery, load balancing, traffic routing, authentication, and observability.
By abstracting away the complexity of network communication, a service mesh enables developers to focus on application logic rather than dealing with the intricacies of networking code. It provides a consistent and flexible way to handle cross-service communication and allows for the implementation of advanced traffic management strategies, security policies, and observability mechanisms.
They provide a standardized approach to managing microservices communication, making it easier to monitor, secure, and control traffic within complex distributed systems.
Service mesh architecture typically involves the following components and their interactions:
Data Plane: The data plane refers to a network of sidecar proxies deployed along with each service instance, so that it can communicate with the other services in the system. It acts as an intermediary between the service and the rest of the network. Sidecar proxies handle inbound and outbound traffic, intercepting communication and providing additional features.
Control Plane: The control plane is the centralized management and configuration layer of the service mesh. It is responsible for controlling and coordinating the behavior of the sidecar proxies. It provides a control plane API that allows administrators to configure policies, rules, and settings for traffic management, security, and observability.
Application Microservices: These are the individual services or microservices that make up the application. They are responsible for handling specific functions or tasks.
Consider an e-commerce application use case, a service mesh would help manage the complex network of microservices responsible for different functions, such as inventory management, order processing, payment processing, and shipping.
Overall, a service mesh simplifies the management and enhances the resilience, security, and observability of a distributed application, making it an essential component in modern microservices architectures.
Service mesh solves several problems in the context of modern application architectures. Here are some of the key problems that service mesh addresses:
Istio is an open-source service mesh platform that provides a set of tools and capabilities for managing and securing microservices-based applications. It aims to address common challenges associated with service-to-service communication, observability, security, and traffic management in complex distributed systems. At its core, Istio deploys a sidecar proxy, called Envoy, alongside each microservice in the application. This sidecar proxy intercepts and manages all inbound and outbound traffic for the service, allowing Istio to control and monitor the communication between services.
Advantages:
Drawbacks:
Linkerd is an open-source service mesh platform designed to provide observability, reliability, and security to microservices architectures. It is developed by the Cloud Native Computing Foundation (CNCF) and focuses on simplicity, performance, and ease of use.
Advantages
Drawbacks
In case you wish to read more about the above service meshes comparison and what more they have to offer, you can read all about it here.
That’s not it, there many many options in the market for you to choose from like:
Service mesh technology is a boon for developers. It increases developer productivity by delegating cross-cutting concerns from application source code to in-house DevSecOps. Service Mesh provides a ton of more features to solve developer challenges and increase developer productivity. It’s now a de facto standard for managing cross-cutting configuration code for cloud-native microservice apps on Kubernetes.
Service Meshes have been gaining a lot of popularity lately, more so amongst Spring and Java developers who wish to address cross cutting concerns. But, are you wondering what exactly are Service Meshes? What are some of the popular types out there? And most importantly, what kind of problems do they actually solve? Well, look no further! This blog is here to provide you with the answers you seek.
A service mesh is a dedicated infrastructure layer that helps manage communication between the various microservices within a distributed application. It acts as a transparent and decentralized network of proxies that are deployed alongside the application services. These proxies, often referred to as sidecars, handle service-to-service communication, providing essential features such as service discovery, load balancing, traffic routing, authentication, and observability.
By abstracting away the complexity of network communication, a service mesh enables developers to focus on application logic rather than dealing with the intricacies of networking code. It provides a consistent and flexible way to handle cross-service communication and allows for the implementation of advanced traffic management strategies, security policies, and observability mechanisms.
They provide a standardized approach to managing microservices communication, making it easier to monitor, secure, and control traffic within complex distributed systems.
Service mesh architecture typically involves the following components and their interactions:
Data Plane: The data plane refers to a network of sidecar proxies deployed along with each service instance, so that it can communicate with the other services in the system. It acts as an intermediary between the service and the rest of the network. Sidecar proxies handle inbound and outbound traffic, intercepting communication and providing additional features.
Control Plane: The control plane is the centralized management and configuration layer of the service mesh. It is responsible for controlling and coordinating the behavior of the sidecar proxies. It provides a control plane API that allows administrators to configure policies, rules, and settings for traffic management, security, and observability.
Application Microservices: These are the individual services or microservices that make up the application. They are responsible for handling specific functions or tasks.
Consider an e-commerce application use case, a service mesh would help manage the complex network of microservices responsible for different functions, such as inventory management, order processing, payment processing, and shipping.
Overall, a service mesh simplifies the management and enhances the resilience, security, and observability of a distributed application, making it an essential component in modern microservices architectures.
Service mesh solves several problems in the context of modern application architectures. Here are some of the key problems that service mesh addresses:
Istio is an open-source service mesh platform that provides a set of tools and capabilities for managing and securing microservices-based applications. It aims to address common challenges associated with service-to-service communication, observability, security, and traffic management in complex distributed systems. At its core, Istio deploys a sidecar proxy, called Envoy, alongside each microservice in the application. This sidecar proxy intercepts and manages all inbound and outbound traffic for the service, allowing Istio to control and monitor the communication between services.
Advantages:
Drawbacks:
Linkerd is an open-source service mesh platform designed to provide observability, reliability, and security to microservices architectures. It is developed by the Cloud Native Computing Foundation (CNCF) and focuses on simplicity, performance, and ease of use.
Advantages
Drawbacks
In case you wish to read more about the above service meshes comparison and what more they have to offer, you can read all about it here.
That’s not it, there many many options in the market for you to choose from like:
Service mesh technology is a boon for developers. It increases developer productivity by delegating cross-cutting concerns from application source code to in-house DevSecOps. Service Mesh provides a ton of more features to solve developer challenges and increase developer productivity. It’s now a de facto standard for managing cross-cutting configuration code for cloud-native microservice apps on Kubernetes.