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Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {maste...
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JVM Tools

 Java has many useful tools for debugging at runtime or analyzing an application after it has crashed.

Commands

jps - JVM process Status Tool

Same as the Linux command ps, only to find the process under the JVM.

jinfo - Configuration Info for Java

Show and adjust the JVM arguments.

jmap - Memory Map for Java

Getting a memory error dump is the most common technique used at runtime. The dump file can be used to analyze the cause of the failure.

jstack - Stack trace for Java

Check the thread runtime status.

GUI

VisualVM

VisualVM is a tool that provides a visual interface for viewing detailed information about Java applications while they are running on a Java Virtual Machine (JVM).

Memory Analyzer (MAT)

The Eclipse Memory Analyzer is a fast and feature-rich Java heap analyzer that helps you find memory leaks and reduce memory consumption.


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Install K8S on VM and spring boot integration.

Installation Environment Vmware Workstation pro  It is recommended to use the  snapshot  to store the state of each installation stage to avoid installation failures and causing the installation to start from scratch. Ubuntu 22.04 windows 11 Hardware settings  create 3 VM: 4 cores and 4G memory and 100G capacity Before installing K8s (All use the root user) set host: 192.168.47.135 master 192.168.47.131 node1 192.168.47.132 node2 set root ssh connection: sudo su - echo "PermitRootLogin yes" >> /etc/ssh/sshd_config systemctl restart sshd sudo passwd ssh-keygen for i in {master,node1,node2}; do  ssh-copy-id root@$i; done set Ipvs and conf  create conf file: for i in {master,node1,node2}; do ssh root@$i 'cat << EOF > /etc/modules-load.d/containerd.conf overlay br_netfilter EOF'; done execute conf: for i in {master,node1,node2}; do ssh root@$i 'modprobe overlay;modprobe br_netfilter;'; done create 99-kubernetes-cri.conf file: for i in {maste...
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ShardingSphere

Table of contents [ hide ]  ShardingSphere The distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database. ShardingJDBC ShardingSphere-JDBC is a lightweight Java framework that provides additional services at Java’s JDBC layer. ShardingProxy ShardingSphere-Proxy is a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Core Concept 1. Virtual Database Provides a virtual database with sharding capabilities, allowing applications to be easily used as a single database 2. Real Database The database that stores real data in the shardingShereDatasource instance for use by ShardingSphere 3. Logic Table Tables used by the application 4. Real Table In the table that stores real data, the data structure is the same as the logical table. The application maintains the mapping between the logical table and the real table. All real tables map to ShardingS...
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Kafka

Table of contents [ hide ] Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Why use a Message Queue like Kafka 1. Asynchronous The program can continue execution without waiting for I/O to complete, increasing throughput. 2. Decoupling It refers to reducing the dependencies between different parts of the system so that each component of the system can be developed, maintained, and evolved relatively independently. The main goal of decoupling is to reduce tight coupling between components to improve system flexibility, maintainability, and scalability. 3. Peak clipping Peak clipping is essential to delay user requests more, filter user access needs layer by layer, and follow the principle of "the number of requests that ultimately land on the database is as small as possible". Basic Concept 1. Client Includi...
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