


MIIX Capital: io.net project research report
1. Project situation 1.1 Business overview io.net is a decentralized GPU network designed to provide computing for ML (machine learning). Gain computing power by assembling over 1 million GPUs from independent data centers, cryptocurrency miners, and projects like Filecoin or Render. Its goal is to combine 1 million GPUs into DePIN (Decentralized Physical Infrastructure Network) to create an enterprise-level, decentralized distributed computing network by gathering idle network computing resources around the world (currently mainly GPUs) ), providing artificial intelligence engineers with lower-priced, easier-to-obtain, and more flexibly adaptable network computing resource services. For users, it
Jun 30, 2024 pm 12:00 PM
Deploy Elasticsearch based on memory storage - 100 million+ pieces of data, full-text search 100ms response
1. Mount the memory storage directory on the host. Create a directory for mounting mkdir/mnt/memory_storage. Mount the tmpfs file system mount-ttmpfs-osize=800Gtmpfs/mnt/memory_storage. The storage space will be used on demand, that is, when using 100G storage. It will occupy 100G of memory. There is 2T memory on the host node, and 800G memory is allocated here to store Elasticsearch data. Create the directory mkdir/mnt/memory_storage/elasticsearch-data-es-jfs-prod-es-defaul in advance
Jun 07, 2024 am 11:11 AM
What open source alternatives offer similar functionality to a specific java framework?
Abstract: This article introduces open source alternatives to different Java frameworks, including: SpringBoot: QuarkusHibernate: JPA (EclipseLink or Hibernate) JUnit: TestNG When considering open source alternatives, factors such as functional requirements, performance, and community support should be considered. By choosing the right alternatives, developers can optimize flexibility, price/performance, and community support.
Jun 06, 2024 pm 01:30 PM
Collaborative innovation of java framework and cloud native technology
Collaborative innovation of Java frameworks and cloud native technologies is key to modern application development. By using Kubernetes Operator, integrating service mesh, adopting FaaS and optimizing cloud native features, Java frameworks can take full advantage of cloud native to create more agile, elastic and scalable applications, such as SpringCloudKubernetes and quarkus-kubernetes-maven- Practical cases such as plugin demonstrate the practical application of this collaborative innovation.
Jun 06, 2024 pm 12:57 PM
Integration of Java frameworks in Kubernetes and Docker
Integrating Java frameworks into Kubernetes and Docker involves the following steps: Build a Docker image that contains the framework and code. Specify the port to be exposed. Build and push the image to the registry. Create a KubernetesDeployment to run the container. Create a Service to provide external access.
Jun 06, 2024 pm 12:32 PM
Java Cloud Computing: Continuous Integration and Continuous Delivery Best Practices
Best practices for CI/CD in Java cloud computing include: Using VCS to manage source code Setting up a CI server Automating build, test, and deployment Implementing TDD Writing test-driven development Using CD pipelines to automate deployment Practical case: Deploying a web application
Jun 06, 2024 pm 12:17 PM
What are the advantages of Java frameworks in microservice architecture?
The advantages of Java framework in microservice architecture include: lightweight: low overhead and low resource consumption. Rapid development: Provides code generation and scaffolding tools. Flexibility: Allows customization of microservices. Scalability: Supports microservices with high load and complexity. Community Support: Has a large community to provide support.
Jun 06, 2024 pm 12:04 PM
The role and benefits of golang framework in cloud native development
The Go framework plays a significant role in cloud native development, including building microservices, deploying cloud functions, container orchestration, and data stream processing. Its advantages are: high performance, scalability, robustness and rich ecosystem. In addition, the practical cases of the Go framework demonstrate its application in cloud functions. By using the Gin framework, you can easily build and deploy cloud functions with the "Hello, CloudFunctions!" message.
Jun 06, 2024 am 11:32 AM
What is the future development direction of the golang framework?
The future of the Go framework will focus on microservices architecture, cloud-native applications, GraphQL support, serverless computing, and enhanced security. Microservices architecture decomposes applications into independently deployable services, improving scalability and flexibility. Cloud-native applications leverage native Kubernetes support for cloud deployment, increasing portability and automation. GraphQL reduces network traffic and improves performance, and the Go framework simplifies its development and deployment. Serverless computing eliminates server infrastructure management, reducing costs and simplifying deployment. Finally, the Go framework enhances security by providing authentication, authorization, and session management tools.
Jun 06, 2024 am 11:31 AM
Implementation cases of Java framework: continuous delivery pipeline construction
Introduction to the continuous delivery pipeline: an automated pipeline that takes developer code from submission to production deployment; it includes code submission, build, test, deployment and monitoring stages. Practical case: SpringBoot application: Use GitLabCI/CD, Maven/Gradle, JUnit/Mockito, JenkinsPipeline/Kubernetes and Prometheus/Grafana for continuous delivery pipeline to implement code submission, construction, testing, deployment and monitoring.
Jun 06, 2024 am 10:42 AM
Golang Framework Development Practical Manual: Frequently Asked Questions
FAQ on how to implement Go framework development: Dependency injection: Use a struct as a controller and inject dependencies in its constructor. Error handling: Check for errors in handlers and respond to internal server errors using http.Error. Unit testing: Write a mock service and use an assertion library to verify the handler's behavior. Application Deployment: Kubernetes: Containerize applications and deploy them to a cluster. Docker: Packaged as an image and deployed to a host or cluster. Heroku: Deploy applications using a managed cloud platform.
Jun 06, 2024 am 10:38 AM
Java framework implementation cases: best practices for cloud native architecture implementation
The best practices for Java framework implementation involve six aspects: service-oriented transformation: dividing service boundaries, using lightweight frameworks, and introducing service registration and load balancing. Containerized deployment: Use Docker to build images, adopt DevOps processes, and use Kubernetes to manage the service life cycle. Distributed tracing: Integrate the tracing framework, record request link information, and use tracing data for analysis and fault recovery. API gateway: As a unified entrance, it controls traffic and security policies, and implements identity authentication and load balancing. Configuration management: separate configuration, centralized management, use secure storage mechanism, provide configuration refresh and monitoring mechanism. Log management: Collect system logs in a unified manner, use log aggregation tools to format them, and provide query, retrieval and availability
Jun 06, 2024 am 10:33 AM
How is the golang framework used in cloud computing?
The Golang framework is widely used in cloud computing, including: building cloud-native applications, using Kubernetes to simplify container management and gRPC to build microservices; processing and analyzing large data sets, using Apache Flink for data stream processing and Elasticsearch for distributed search; developing cloud functions , run code in serverless architectures such as CloudFunctions and AWS Lambda. A practical case shows how to use Golang to build and deploy a Kubernetes clock application.
Jun 06, 2024 am 10:28 AM
What challenges does microservices architecture pose to Java frameworks?
The challenges of microservice architecture to Java framework include: distributed communication, distributed data management, elasticity and fault tolerance, observability and monitoring, service discovery and load balancing, deployment and management. These challenges require a framework that provides reliable communication mechanisms, data transaction support, fault handling mechanisms, monitoring tools, service discovery and load balancing capabilities, and supports efficient deployment and management strategies.
Jun 06, 2024 am 10:28 AM
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