Explore the best alternatives to Google Service Directory Platform for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to Google Service Directory Platform include ease of use and reliability. The best overall Google Service Directory Platform alternative is Docker. Other similar apps like Google Service Directory Platform are ZooKeeper, AWS Cloud Map, Traefik, and HashiCorp Consul. Google Service Directory Platform alternatives can be found in Service Discovery Software but may also be in Container Registry Software or Load Balancing Software.
Docker hub is a Dev-test pipeline automation with 100,000+ free apps, public and private registries.
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
AWS Cloud Map is a cloud resource discovery service. With Cloud Map, you can define custom names for your application resources, and it maintains the updated location of these dynamically changing resources. This increases your application availability because your web service always discovers the most up-to-date locations of its resources.
Consul makes it simple for services to register themselves and to discover other services via a DNS or HTTP interface.
The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.
GRPC is a high performance, open source, general RPC framework based on HTTP/2.
Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
SkyDNS is a distributed service for announcement and discovery of services built on top of etcd. It utilizes DNS queries to discover available services. This is done by leveraging SRV records in DNS, with special meaning given to subdomains, priorities and weights.
Netflix Eureka is a RESTful service registry designed to facilitate service discovery, load balancing, and failover in cloud environments, particularly within Amazon Web Services (AWS). It enables dynamic registration and deregistration of services, allowing client applications to locate and communicate with available service instances efficiently. Eureka's architecture supports resilience by replicating service registration information across multiple nodes, ensuring high availability and fault tolerance. Key Features and Functionality: - Service Discovery: Eureka allows services to register themselves and discover other services without hardcoded addresses, facilitating dynamic scaling and deployment. - Load Balancing: It provides client-side load balancing, distributing requests among available service instances to optimize resource utilization and performance. - Failover Support: Eureka enhances system resilience by enabling automatic failover, redirecting traffic from failing instances to healthy ones. - RESTful API: The service offers a REST-based interface for service registration, discovery, and health checks, simplifying integration with various applications. Primary Value and Problem Solved: Eureka addresses the challenges of managing service instances in dynamic cloud environments, where servers frequently scale up or down. By providing a centralized service registry, it eliminates the need for manual configuration of service endpoints, reducing the complexity and potential errors associated with service communication. This dynamic service discovery mechanism ensures that applications can adapt to changes in the infrastructure seamlessly, enhancing the overall reliability and scalability of distributed systems.