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Apache Thrift VS linkerd

Compare Apache Thrift VS linkerd and see what are their differences

Apache Thrift logo Apache Thrift

An interface definition language and communication protocol for creating cross-language services.

linkerd logo linkerd

Linkerd is an ultralight service mesh for Kubernetes. It gives you observability, reliability, and security without requiring any code changes.
  • Apache Thrift Landing page
    Landing page //
    2019-07-12
  • linkerd Landing page
    Landing page //
    2023-05-18

Apache Thrift features and specs

  • Cross-Language Support
    Apache Thrift supports numerous programming languages including Java, Python, C++, Ruby, and more, enabling seamless communication between services written in different languages.
  • Efficient Serialization
    Thrift offers efficient binary serialization which helps in reducing the payload size and improves the communication speed between services.
  • Service Definition Flexibility
    Thrift provides a robust interface definition language (IDL) for defining and generating code for services with strict type checking, fostering strong contract interfaces.
  • Scalability
    Due to its lightweight and efficient serialization mechanisms, Apache Thrift can handle a large number of simultaneous client connections, making it suitable for scalable distributed systems.
  • Versioning Support
    Thrift supports service versioning which helps in evolving APIs without disrupting existing services or clients.

Possible disadvantages of Apache Thrift

  • Steep Learning Curve
    For new users, especially those not familiar with RPC frameworks, learning and understanding Thrift’s IDL and operations can be complex and time-consuming.
  • Documentation and Community Support
    Compared to some alternative technologies, Apache Thrift's documentation and community support can be less robust, which might pose challenges in troubleshooting or seeking guidance.
  • Lack of Advanced Features
    Thrift does not support some advanced features like streaming or multiplexing out of the box, which could limit its use in complex systems requiring these functionalities.
  • Infrastructure Overhead
    Integrating Thrift into an existing system might introduce infrastructure overhead both in initial setup and ongoing maintenance, especially when dealing with multiple languages.
  • Protocol Limitations
    While Thrift is highly efficient, its protocol limitations might require additional workarounds for certain data structures or transport mechanisms, complicating development.

linkerd features and specs

  • Lightweight
    Linkerd is known for its minimal resource usage compared to other service meshes, making it a good choice for environments where resource constraints are a concern.
  • Ease of Use
    Designed to be user-friendly, Linkerd offers a simple installation process and an easy-to-understand interface for managing microservices.
  • High Performance
    Linkerd offers low-latency communication between services, providing efficient and high-performance service mesh functionality.
  • Security Features
    Linkerd provides built-in security features such as mTLS (mutual TLS) for service-to-service encryption, ensuring secure communications within the mesh.
  • Kubernetes Native
    Linkerd is designed to work seamlessly with Kubernetes, providing native integrations and simplifying operations for Kubernetes-based environments.

Possible disadvantages of linkerd

  • Feature Limitations
    Compared to some other service meshes, Linkerd offers fewer features and might not satisfy every use case, particularly for advanced scenarios.
  • Resource Overhead
    Although lightweight, running a service mesh introduces additional components that consume system resources, which might be a concern in very resource-constrained environments.
  • Ecosystem Maturity
    Linkerd's ecosystem and community are not as large as some other service meshes, potentially leading to fewer third-party integrations and support resources.
  • Complexity in Large Scale
    While simple for smaller deployments, managing Linkerd at scale can become complex, requiring more intricate configuration and monitoring.
  • Learning Curve
    Adopting Linkerd, like any service mesh, involves a learning curve that requires teams to understand concepts of service mesh architecture and operations.

Apache Thrift videos

Apache Thrift

linkerd videos

Introduction to Linkerd for beginners | a Service Mesh

More videos:

  • Review - Deep Dive: Linkerd - Oliver Gould, Buoyant
  • Review - 60 seconds to a Linkerd service mesh on AKS | Azure Friday

Category Popularity

0-100% (relative to Apache Thrift and linkerd)
Web Servers
64 64%
36% 36
Web And Application Servers
Load Balancer / Reverse Proxy
Developer Tools
40 40%
60% 60

User comments

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Social recommendations and mentions

linkerd might be a bit more popular than Apache Thrift. We know about 18 links to it since March 2021 and only 13 links to Apache Thrift. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Thrift mentions (13)

  • Show HN: TypeSchema – A JSON specification to describe data models
    I once read a paper about Apache/Meta Thrift [1,2]. It allows you to define data types/interfaces in a definition file and generate code for many programming languages. It was specifically designed for RPCs and microservices. [1]: https://thrift.apache.org/. - Source: Hacker News / 6 months ago
  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / about 1 year ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: about 2 years ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: about 2 years ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 2 years ago
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linkerd mentions (18)

  • Evaluating 2 Popular Service Meshes
    The decision to add a Service Mesh to an application comes down to how your application communicates between itself. If for instance your design is heavily asynchronous and relies on events and messages, then a service mesh isn't going to make a lot of sense. If however, you've built an application that is heavily reliant on APIs between itself, then a service mesh is a great piece of technology that can make this... - Source: dev.to / 7 months ago
  • Fastly and the Linux kernel
    The open source projects Fastly uses and the foundations we partner with are vital to Fastly’s mission and success. Here's an unscientific list of projects and organizations supported by the Linux Foundation that we use and love include: The Linux Kernel, Kubernetes, containerd, eBPF, Falco, OpenAPI Initiative, ESLint, Express, Fastify, Lodash, Mocha, Node.js, Prometheus, Jenkins, OpenTelemetry, Envoy, etcd, Helm,... - Source: dev.to / 11 months ago
  • eBPF, sidecars, and the future of the service mesh
    William: My first pick would be Linkerd. It's a must-have for any Kubernetes cluster. I then lean towards tools that complement Linkerd, like Argo and cert-manager. You're off to a solid start with these three. - Source: dev.to / 11 months ago
  • Optimal JMX Exposure Strategy for Kubernetes Multi-Node Architecture
    Leverage a service mesh like Istio or Linkerd to manage communication between microservices within the Kubernetes cluster. These service meshes can be configured to intercept JMX traffic and enforce access control policies. Benefits:. - Source: dev.to / about 1 year ago
  • Ultimate EKS Baseline Cluster: Part 1 - Provision EKS
    From here, we can explore other developments and tutorials on Kubernetes, such as o11y or observability (PLG, ELK, ELF, TICK, Jaeger, Pyroscope), service mesh (Linkerd, Istio, NSM, Consul Connect, Cillium), and progressive delivery (ArgoCD, FluxCD, Spinnaker). - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Apache Thrift and linkerd, you can also consider the following products

Docker Hub - Docker Hub is a cloud-based registry service

Istio - Open platform to connect, manage, and secure microservices

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

Traefik - Load Balancer / Reverse Proxy

Apache ZooKeeper - Apache ZooKeeper is an effort to develop and maintain an open-source server which enables highly reliable distributed coordination.

SkyDNS - DNS service discovery for etcd. Contribute to skynetservices/skydns development by creating an account on GitHub.