The following is a collection of ebooks and Java architecture learning materials
The interview data
Java core knowledge documentation
Java Core Knowledge PDF
1. JVM
2. JAVA collection
3. JAVA multi-threaded concurrency
4. JAVA based
5. Spring principle
6. The service
7. Netty and RPC
Network 8.
9. The log
10. Zookeeper
11. Kafka
12. Rabbi tMQ
13. Hbase
14. MongoDB
15. Cassandra
16. Design patterns
17. Load balancing
Database 18.
19. Consistency algorithm
20. JAVA algorithm
21. Data structure
22. Encryption algorithm
23. Distributed caching
24. Hadoop
25. Spark
26. Storm
27. YARN
28. Machine learning
29. Cloud computing
Featured Horse Soldier Java high concurrency distributed architecture video
How do I get it?
Spring, MyBatis, Netty source code analysis, high concurrency, high performance, distributed, microservice architecture principle, JVM performance optimization, distributed architecture
Get the JVM in depth
directory
1. Part 1 approaches Java
2. Chapter 1 approaches Java
3. Part II Automatic memory management mechanism
4. Chapter 2 Java Memory regions and Memory overflow Exceptions
5. Chapter 3 garbage collector and Memory allocation Policies
6. Chapter 4 Vm Performance Monitoring and Troubleshooting Tools
7. Chapter 5 tuning case analysis and actual practice
8. The third part is the virtual machine execution subsystem
9. Chapter 6 Class File Structure
10. Chapter 7 Virtual Machine Class Loading Mechanism
Chapter 8 Virtual Machine bytecode Execution Engine
12. Chapter 9 is the case and practice of class loading and execution subsystem
13. The fourth part is program compilation and code optimization
14. Chapter 10: Early (Compile-time) Optimization
15. Chapter 11 late (Run-time) Optimization
16. Part V efficient Concurrency
17. Chapter 12 Java Memory Model and threads
18. Chapter 13 thread safety and Lock Optimization
Because there are too many details and the text is too long, it can be seen that there is a detailed breakdown version of the set graph in the JVM to correspond to each knowledge point (see table of contents).
JVM+ Springboot +Redis+Nginx+Kafka
Spring Boot is a new framework from the Pivotal team designed to simplify the initial setup and development process for new Spring applications. The framework uses a specific way to configure so that developers no longer need to define boilerplate configurations. In this way, Boot aims to be a leader in the burgeoning field of rapid Application development.
Spring Boot features
1. Create a standalone Spring application
2. Embedded Tomcat does not need to deploy a WAR file
3. Simplify Maven configuration
4. Automatically configure Spring
5. Provide production-ready functions such as indicators, health checks and external configuration
6. Absolutely no code generation and no configuration requirements for XML
Advantages of Spring Boot
1. Spring Boot allows you to quickly develop restful microservices architecture
2. Automation is indeed convenient, do microservices more suitable, a single JAR package deployment and management are very convenient. As long as the system architecture is properly designed, large projects can be used, with nGINx load balancing, easily achieve horizontal scaling
3. Thin provisioning is one of the problems that Spring Boot will solve, but how to integrate the Spring ecosystem with other toolchains (redis, Email, ElasticSearch) is another.
Practice Springboot in depth
directory
The first part is basic application development
1. Chapter 1 Getting Started with Spring Boot
2. Chapter 2 uses a database in Spring Boot
3. Chapter 3 Spring Boot interface design
Chapter 4 improving Database access Performance
5. Chapter 5 Spring Boot Security Design
Part ii Distributed application development
1. Chapter 6 Spring Boot SSO
2. Chapter 7 Using distributed File Systems
3. Chapter 8 Cloud Application Development
Chapter 9: Building a High-performance service Platform
The third part core technology source code analysis
1. Chapter 10 Implementation principle of Spring Boot Automatic Configuration
2. Chapter 11 Implementation principle of Spring Boot Data Access
3. Chapter 12 implementation principle of micro-service core technology
Because the details are too much, the copy is too long, which can be seen in “Deep Practice Springboot Technology Insider”, there is a detailed breakdown version of the set graph corresponding to each knowledge point (see table of contents).
Nginx is a lightweight Web/reverse proxy server and E-mail (IMAP/POP3) proxy server distributed under the BSD-like protocol. It is characterized by less memory and strong concurrency. In fact, Nginx’s concurrency does perform better in the same type of web server. In Mainland China, nginx website users include baidu, JINGdong, Sina, netease, Tencent, Taobao and so on.
Nginx is a powerful high-performance Web and reverse proxy service with a number of very good features:
Nginx is a good alternative to Apache services for high concurrency connections :Nginx is one of the software platforms of choice for web hosting business owners in the United States. Can support responses up to 50,000 concurrent connections, thanks to Nginx for choosing epoll and KQueue as our development models.
Nginx of actual combat
directory
1. Introduction to Nginx
2. Install and configure the Nginx server
3. Basic configuration and optimization of Nginx
4. Nginx and PHP (FastCGI) installation, configuration and optimization
5. Nginx and JSP, ASP.NET, Perl installation and configuration
6. Configuration and optimization of Nginx HTTP load balancing and reverse proxy
Rewrite rule writing example of Nginx
8. Nginx module development
9. Web caching service of Nginx and open source NCACHE module of Sina
10. Application cases of Nginx in well-known websites in China
11. Atypical application examples of Nginx
Nginx core module
Nginx standard HTTP module
Other HTTP modules for Nginx
Nginx mail module
Nginx Has a detailed breakdown version of the set graph corresponding to each knowledge point (see table of contents).
Redis is a remote in-memory database with robust performance, replication features and a unique data model for problem solving. Redis provides five different types of data structures to which a wide variety of problems can be naturally mapped: Redis’s data structures are designed to help users solve problems, rather than requiring users to twist problems to fit into the database, as other databases do. In addition, with features like replication, persistence, and client-side sharding, users can easily scale Redis into a system that can contain hundreds of gigabytes of data and handle millions of requests per second.
Redis is a high performance key-value database. Redis largely compensates for keyvalue storage like memcached and complements relational databases in some cases. It provides Python, Ruby, Erlang, PHP clients, easy to use.
Redis is simple
directory
1. Part ONE introduction
2. Meet Redis
3. Use Redis to build Web applications
4. The second part core concepts
5. Redis command
6. Data security and performance guarantee
7. Build support using Redis
8. Build application components using Redis
9. Search-based applications
10. Build a simple social network
11. Advanced content
12. Reduce memory usage
13. Expand the Redis
14. Lua scripting for Redis
Because there are too many details and the copy is too long, it can be seen that there is a detailed breakdown version of the set map in Redis Combat, corresponding to each knowledge point (see table of contents).
In IT, Apache Kafka (Kafka) is currently the most popular platform for distributed messaging or streaming data. Any application that uses any type of data (logs, events, and so on) and needs to transfer that data, as well as any application that may convert data between its components, can benefit from Kafka. Kafka was originally a project within LinkedIn, but has since been opened up for easy adoption. It has been an open source project for the past few years and has matured a lot. Several well-known IT companies use IT in their production environments.
Some of the basic components in Kafka include:
· Agent: The Kafka agent is where the data sent to Kafka is stored. The proxy is responsible for receiving and storing data as it arrives. The agent also provides this data when requested. Many Kafka agents can work together to build a Kafka cluster. Kafka uses Apache ZooKeeper to store metadata about the cluster. The agent uses this metadata to detect failures, such as agent failures, and recover from them.
· Producer: The producer is the entity that sends data to the agent. There are many different types of producers. Kafka provides its own producers written in Java, but many other Kafka client libraries support C/C++, Go, Python, REST, and more.
· Consumer: The entity that requests data from the broker. Similar to producers, in addition to built-in Java consumers, there are other open source consumers available to developers interested in non-Java apis.
Kafka: Core design and practice
directory
Chapter 1 introduction to Kafka
Chapter 2 Producers
Chapter 3 Consumers
Chapter 4 theme and Zoning
Chapter 5 Log Storage
Chapter 6 delves into the server
Chapter 7 Delves into the client
Chapter 8 Reliability research
Chapter 9 Kafka application
Chapter 10 Kafka Monitoring
Chapter 11 advanced applications
Chapter 12 integration of Kafka and Spark
Kafka: Principles of Core Design and Practice has a detailed breakdown version of the set graph corresponding to each knowledge point (see table of contents).
How do I get a free hands-on book for Java developers?
Obtaining method:
Forward + attention, and then get the electronic version of all the above combat books for free.
Important words say three times, forward, forward, forward + pay attention to me for free!
