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Istio vs Kuma: What are the differences?

Introduction

Istio and Kuma are both service mesh platforms that provide network observability, security, and control for microservices architectures. Although they have similar functionalities, there are key differences between the two.

  1. Deployment Approach: Istio is designed as a sidecar proxy model, where a dedicated envoy proxy is deployed alongside each service to manage the network traffic. On the other hand, Kuma provides a more flexible deployment approach by offering a data plane that can be integrated as a sidecar or as a standalone proxy.

  2. Supported Environments: Istio is primarily focused on containerized environments and Kubernetes orchestration. It provides pre-built integrations with popular container platforms and works smoothly in the Kubernetes ecosystem. In contrast, Kuma is more agnostic and can be deployed in any cloud environment, virtual machines, or bare-metal servers without any specific Kubernetes dependency.

  3. Control Plane Architecture: Istio has a centralized control plane architecture, where it uses the Pilot component to manage and distribute configurations to the sidecar proxies. Kuma, on the other hand, adopts a decentralized control plane architecture by using a multizone replicated control plane. This allows Kuma to be more resilient and scalable in managing multiple data plane instances spread across different clusters or regions.

  4. Traffic Routing: Istio provides a rich set of traffic routing rules, allowing users to configure advanced routing policies like blue/green deployments, canary releases, and more. Kuma, although still under active development, currently focuses on simple traffic routing rules and policies like round-robin load balancing and path-based routing.

  5. Policy Enforcement: Istio incorporates a robust policy framework that enables fine-grained access control, quota management, and request authentication. It supports JWT, OAuth, and other common authentication mechanisms. Kuma also provides security policies for fine-grained access control and traffic permissions, but it currently does not support as many authentication mechanisms as Istio.

  6. Community Support: Istio has gained a large and active community since its initial launch, making it more mature and well-documented. It benefits from its association with the CNCF (Cloud Native Computing Foundation) and has a wide range of contributors and active development. Kuma, being a relatively newer project, has a smaller community compared to Istio but is rapidly growing and attracting attention due to its simplicity and flexible deployment options.

In summary, Istio and Kuma are both service mesh platforms, but they differ in their deployment approach, supported environments, control plane architecture, traffic routing capabilities, policy enforcement mechanisms, and community support.

Advice on Istio and Kuma
Mohammed Shurrab
Needs advice
on
AWS App MeshAWS App Mesh
and
KumaKuma

One of our applications is currently migrating to AWS, and we need to make a decision between using AWS API Gateway with AWS App Mesh, or Kong API Gateway with Kuma.

Some people advise us to benefit from AWS managed services, while others raise the vendor lock issue. So, I need your advice on that, and if there is any other important factor rather than vendor locking that I must take into consideration.

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Replies (2)
Recommends
on
KumaKuma

The benefit of using Kuma + Kong Gateway are:

  • Feature-set: Kong + Kuma provide an end-to-end solution for both APIM and Service Mesh with a feature-set, and a performance, that is not matched by AWS services. In addition to this you can extend Kong Gateway with 70+ plugins out of the box and choose between 500+ plugins from the community to cover every use-case. In comparison, the feature-set of AWS API Gateway is quite limited and basic.
  • Performance: Especially in the case of Kong Gateway, performance has always been a top priority for the project (more performance deliver more reliable applications). In some benchmarks the latency added by AWS API Gateway can be 200x more than what you would achieve with Kong Gateway natively which has been hand-crafted for maximum throughput.
  • Cost: While cloud vendors like AWS make it very easy to get up and running with their services at a lower initial cost, that cost ramps up very quickly (exponentially) as the number of requests are increasing. With Kong GW you don't have this problem, since you can run tens of thousands of concurrent requests on a small EC2 instance (or Kubernetes Ingress, via the native K8s ingress controller for Kong Gateway).
  • Portability: You can replicate your infrastructure on any other cloud, or on your development machines with ease. Want to run your gateway + mesh on your local Kubernetes cluster? You can do that. Want to run your infrastructure on another cloud provider? You can do that. Strategically you have full ownership of your infrastructure and its future. When it comes to Kuma, you can also run a Mesh on VM-based workloads in addition to Kubernetes (Kuma is universal).
  • And much more.

Disclaimer: I am the CTO of Kong.

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Amarnath RC
Program Architect at Mindtree · | 2 upvotes · 37.6K views
Recommends
on
AWS App MeshAWS App Mesh

AWS App Mesh is useful when your micro services are deployed across Ec2 , EKS or ECS. Assume you are in process of migrating microservices from ec2 instances to ecs, its easy to switch using Virtual router configuration. As App Mesh is managed service and easy to bring up ,its worth giving it a try for your use case before choosing Kuma or any other tool.

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Decisions about Istio and Kuma
Prateek Mittal
Fullstack Engineer| Ruby | React JS | gRPC at Ex Bookmyshow | Furlenco | Shopmatic · | 4 upvotes · 314.2K views

Istio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn-keyIstio based on powerful Envoy whereas Kong based on Nginx. Istio is K8S native as well it's actively developed when k8s was successfully accepted with production-ready apps whereas Kong slowly migrated to start leveraging K8s. Istio has an inbuilt turn key solution with Rancher whereas Kong completely lacks here. Traffic distribution in Istio can be done via canary, a/b, shadowing, HTTP headers, ACL, whitelist whereas in Kong it's limited to canary, ACL, blue-green, proxy caching. Istio has amazing community support which is visible via Github stars or releases when comparing both.

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Pros of Istio
Pros of Kuma
  • 14
    Zero code for logging and monitoring
  • 9
    Service Mesh
  • 8
    Great flexibility
  • 5
    Resiliency
  • 5
    Powerful authorization mechanisms
  • 5
    Ingress controller
  • 4
    Easy integration with Kubernetes and Docker
  • 4
    Full Security
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    Cons of Istio
    Cons of Kuma
    • 17
      Performance
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      What is Istio?

      Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

      What is Kuma?

      It is a universal open source control-plane for Service Mesh and Microservices that can run and be operated natively across both Kubernetes and VM environments, in order to be easily adopted by every team in the organization.

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      What companies use Istio?
      What companies use Kuma?
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      What tools integrate with Istio?
      What tools integrate with Kuma?

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      What are some alternatives to Istio and Kuma?
      linkerd
      linkerd is an out-of-process network stack for microservices. It functions as a transparent RPC proxy, handling everything needed to make inter-service RPC safe and sane--including load-balancing, service discovery, instrumentation, and routing.
      Envoy
      Originally built at Lyft, Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and “universal data plane” designed for large microservice “service mesh” architectures.
      Kubernetes
      Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
      Conduit
      Conduit is a lightweight open source service mesh designed for performance, power, and ease of use when running applications on Kubernetes. Conduit is incredibly fast, lightweight, fundamentally secure, and easy to get started with.
      Kong
      Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong controls layer 4 and 7 traffic and is extended through Plugins, which provide extra functionality and services beyond the core platform.
      See all alternatives