Download Apollo Server

0 views
Skip to first unread message

Carlee Panella

unread,
Jan 4, 2024, 3:32:00 AM1/4/24
to negalsearchmi
Apollo Server is a community-maintained open-source GraphQL server. It works with many Node.js HTTP server frameworks, or can run on its own with a built-in Express server. Apollo Server works with any GraphQL schema built with GraphQL.js--or define a schema's type definitions using schema definition language (SDL).
Note: GraphQL is agnostic about the protocol that is used for the communication between client and server and does not require a REST API, but many GraphQL client libraries expect a RESTful API for mutation and query operations. The sample code thus deploys both types of APIs for convenience, but for the remainder of the post, we will focus on the WebSocket API Gateway and omit the REST API for brevity.
download apollo server
$connect and $disconnect are used by clients to initiate or end a connection with the API Gateway. Each route has a backend integration that is invoked for the respective event. In this example, a Lambda function gets invoked with details of the event. To track each of the connected clients, the handler persists the connection identifiers in a DynamoDB table. Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale.
In GraphQL, mutations are used to modify servers-side data. In most implementations, mutations trigger synchronous operations that change data and return a result. Here, mutating data means to submit the message to an Amazon EventBridge event bus for further asynchronous processing. Amazon EventBridge is a serverless event bus that makes it easier to build event-driven applications at scale using events generated from your applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources to targets like AWS Lambda. You can set up routing rules to determine where to send your data to build application architectures that react in real time to your data sources with event publisher and consumer completely decoupled.
The ResponseHandler Lambda function subscribes to every response event. When invoked with such an event, it queries DynamoDB to look up the connectionIds that subscribed to this conversation. Finally, it uses the postToConnection() call to trigger a server-side push of the response over the respective WebSocket connections.
In Apollo Server 3, you could import the gql template literal tag directly from the apollo-server library. This template literal tag is provided by the graphql-tag library and allows parsing a GraphQL query string to an AST that can be used by Apollo and other GraphQL libraries.
Indeed, this is a more sophisticated health check than the HTTP-level health check in Apollo Server 3: by executing a GraphQL query, we can ensure that Apollo Server is working in addition to the Node.js process and HTTP server.
Apollo Server options can be set with the graphql.config.apolloServer configuration object. Apollo Server options can be used for instance to enable the tracing feature, which is supported by the GraphQL playground to track the response time of each part of your query. From Apollo Server version 3.9 default cache option is cache: 'bounded'. You can change it in the apolloServer configuration. For more information visit Apollo Server Docs.
The maximum number of items returned by the response is limited to 100 by default. This value can be changed using the defaultLimit configuration option, but should only be changed after careful consideration: a large query can cause a DDoS (Distributed Denial of Service) and may cause abnormal load on your Strapi server, as well as your database server.
A malicious user could send a query with a very high depth, which could overload your server. Use the depthLimit configuration parameter to limit the maximum number of nested fields that can be queried in a single request. By default, depthLimit is set to 10 but can be set to a higher value during testing and development.
The HPE Apollo high-density server family is built for the highest levels of performance and efficiency. They are rack-scale compute, storage, networking, power and cooling - massively scale-up and scale-out - solutions for your big data analytics, object storage, and high-performance computing (HPC) workloads. From water-cooling that's 1,000x more efficient than air to "right-sized scaling" with 2X the compute density for workgroup and private cloud workloads, the HPE Apollo line is a dense, high-performance, tiered approach for organizations of all sizes.
The Apollo 2000 series is highly dense, packing a lot of performance and workload capacity into a small amount of data center space. The Apollo 2000 System offers a dense solution with up to four HPE ProLiant XL170r Gen9 or up to two HPE ProLiant XL190r Gen9 server nodes in a standard 2U chassis. The Apollo 2000 provides 2X density as compared to standard 1U rack servers, to increase available data center floor space, improve performance while lowering energy consumption and providing flexible configurations that fit into industry standard racks.
The Apollo 4000 series is a new family of systems, purpose-built to service Hadoop and other big data analytics and object storage systems. The Apollo 4200 Gen9 Server allows you to save valuable data center space through its unique density optimized 2U form factor which holds up to 28 LFF or 50 SFF hot-plug drives. If you want to grow your big data solutions with infrastructure that is ready to scale, but prefer the familiarity of 2U hardware, the Apollo 4200 Gen9 Server, with up to 224 TB per server, is the ideal enterprise bridge to purpose-built, density optimized infrastructure.
The Apollo 6000 server systems address the growing demand for both HPC and reduce cost. It's a rack-scale solution to get the most out of your infrastructure - and your investment. Run up to 20 hot-swap 2 x 1P servers in an Apollo 6000 System, 160 in a standard 48U rack with rear cabling for cold aisle serviceability. Rack scale power efficiency is fueled by an external power shelf, with easy Advanced Power Management for rack, chassis, server, and component level management.
Fuel ground breaking research in science and engineering with leading-edge technology, while going greener than ever before. The HPE ProLiant XL700f Gen9 Server series in the Apollo 8000 System reaches new heights of performance density, with 4X the teraflops per square foot and up to 40% more FLOPs per watt than comparable air cooled servers. At the same time, the Apollo 8000 System helps reduce your carbon footprint, saving up to 3,800 tons of CO2 per year. That's about the same amount of CO2 produced per year by 790 cars!
35fe9a5643
Reply all
Reply to author
Forward
0 new messages