In today's prevailing SOA architecture, whether it is a big data engineer or a development engineer, using message middleware to achieve reliable message transmission is a compulsory course.

The use of message queue middleware is not complicated, but the selection of message queue has always been a difficult point. for example:

How to choose a message queue in different business scenarios?
What is the difference between the producer of the stream message system and the queue message system?
What are the advantages and disadvantages of Kafka, RocketMQ, and RabbitMQ?

In actual scenarios, the powerful Kafka supports sorting guarantees and is very suitable for extracting messages; while RocketMQ and RabbitMQ have complete queue features that can make up for the shortcomings of Kafka.

Many companies often choose between Kafka and RabbitMQ or RocketMQ, because in real-time streaming architecture, messaging use cases can be divided into two categories: queues and streams. Both cannot be discarded, and the system complexity is naturally greatly increased.

My experience is that the most critical part of the compatibility of message middleware is the selection of message queues.

In addition to the old-fashioned messaging system, Apache Pulsar, a new generation of cloud-native messaging system, supports stream processing. At the same time, its shared subscription mode can use topics as queues, provide multiple virtual queues to consumers in the same topic, and support delayed sending of messages.

The rising star Pulsar supports three subscription types, which largely solves the core pain points of existing open source messaging systems:

exclusivity. Only one Consumer can receive all messages from one Topic
sharing. Multiple consumers can exist at the same time, and each consumer processes a message in the topic
Failover feature. There is only one valid Consumer at the same time, and the remaining Consumers are used as backup nodes to replace the Master Consumer when it becomes unavailable

In the second half of the mobile Internet, high concurrency and high throughput are no longer the primary pain points of business. Pulsar, the cloud-native messaging system that represents the future, is not only suitable for actual combat, but also suitable for early learning and mastery.

Here, I recommend to you the online column of the first domestic Pulsar course "Apache Pulsar - Trillion-level cloud- native distributed messaging platform" created by Mr. Zhai Jia, a member of Apache Pulsar and Apache BookKeeper PMC, and a Committer teacher.

Original price ¥499, limited time ¥0.99 Learn now!

Long press to scan the QR code????, lock the ¥0.99 quota

Valid only for the first 50 people, first come first served!

It is no exaggeration to say that Mr. Zhai Jia is one of the people who know Pulsar best in China. Follow him to learn Pulsar's architecture and application practice. If you have any questions, you can ask them at any time in the live broadcast room and in the group. There is almost nothing to worry about. What's more, Mr. Li Xiyuan, senior big data architect and head of Hadoop platform of Qianzhuan Company, will also join the lecture to answer your core questions about other message queues.

The first set of Pulsar online column courses in China originally cost 499 yuan , but now it costs 0.99 yuan , and you can learn immediately after less than one shared bicycle ride, which is definitely a good deal. 1 2 sections of high-quality courses on the necessary technical knowledge of big data architects carefully polished by famous teachers, from June 7th to June 9th, 3-day fast-track, 20:00-22:00 p.m. , to help you catch up with the next industry trend.

Important reminder: Once you sign up, you can watch forever with unlimited times and dates. At the same time, there are surprise prizes waiting for you to win for free during the course. Xiaomi body fat scale, Joyoung breakfast machine, 360 smart camera and other 100 yuan gifts are all free of charge. The event is real and effective!

Purchasing benefits

12 dry goods practical lessons, take you to quickly master:

1. Architecture selection of message system;

2. In-depth grasp of the architecture design of the new generation trillion-level message system Pulsar;

3. Fix the core features of the new generation trillion-level message system Pulsar;

4. Master the core design of Apache BookKeeper;

5. Master the latest technology of big data and first-hand industry dry goods trends and trends.

01

Why do I recommend this course to you

Go deep into the core of the Pulsar architecture from 0 to 1

Through special design and abstraction, Pulsar uniformly supports two message consumption modes of Streaming and Queueing, maintaining the high performance of Streaming mode and the flexibility of Queueing mode. While ensuring the performance and throughput of the big data message system, Pulsar provides more enterprise-level features, including convenient operation and maintenance and expansion, flexible message model, multi-language API, multi-tenant, remote multiple backup, and data The strong persistence consistency and so on solve many shortcomings of the existing open source message system.

In short, through the in-depth analysis from the "point" of big data core technology, to the "line" of Pulsar architecture design , and to the "surface" of enterprise application practice , it will help students master the core technology of Pulsar in all aspects.

Star teaching and research team
Quickly grasp with your hands

suitable for whom to learn

Technology waves follow one after another, and there will always be new technologies emerging. As a technology practitioner, what I fear most is that I am still using old technology to solve problems that others have solved long ago. If you are a:

Distributed system development engineer
Big Data Platform Engineer
Big Data R&D Engineer
Big Data Architect
Data Warehouse Engineer
Back-end development engineer (language direction such as Java/Go/C++/PHP/Python)
Architect (big data/cloud native/platform/system/business, etc.)