0:24 Intro to the video 1:51 Intro of Sebastian 4:06 Trends for java tech stacks, it’s influence on current software development practices 10:47 How java is evolving in the field of cloud computing 15:12 MERN vs full stack 17:40 Java in AI and ML 23:21 How has demand for java devs changed 27:58 Sebi’s thoughts on Kotlin 34:08 Java in IoT, web3 and H-computing 36:14 When should start-ups consider using java 38:45 Security in java 42:04 Enterprise solutions 46:51 Outro
What a great and in-depth podcast! thanks @KunalKushwaha and Sebi for telling us about how Java is not only leading in the cloud native field, but also kicking into the whole AI & ML space. I've also seen this major shift of the AI space to Java especially after the introduction of Graal VM, which is insanely fast. Hope to see more podcasts like this one.
05:39 🚀 Java's evolution in the cloud space: From being criticized for slowness to overcoming it with initiatives like MicroProfile and new stacks like Quarkus, Spring Boot's native support, and GraalVM for native compilation. 08:35 🤖 Java's rising role in AI/ML: Previously dominated by Python, Java is gaining ground with libraries like L-CH for generative AI, and notable players like Microsoft and Red Hat investing in Java for AI projects. 13:08 🌐 Cloud-native Java applications: Quarkus, Spring Boot with native support, and GraalVM enable lightweight, fast, and resource-efficient Java applications suitable for serverless computing, with startup times as low as 0.003 seconds. 18:28 🌐 Java's industrial ecosystem advantage in AI: Java's established tooling, CI/CD, and dependency management make it an attractive choice for industrializing AI projects, facilitating the transition from development to production. 24:06 📈 Job market for Java developers: Java remains highly in demand, and learning Java, especially with frameworks like Spring Boot and understanding foundational concepts like servlets and threads, opens opportunities for both junior and experienced developers. 26:34 🌐 Explore open source Java projects on GitHub, contribute to them, and consider projects like Micronaut and Quarkus. 27:57 🚀 Get involved in the Java community, contribute to projects, and benefit from the supportive community. 29:28 🔄 Java's recent updates include features like Records, enhanced pattern matching, sealed classes/interfaces, and virtual threads. 32:20 📡 Learn Kafka for streaming data; it's crucial for the future. Kafka and its ecosystem, including Kafka Streams and Debezium, are written in Java. 34:57 🏢 Java remains relevant for large-scale enterprise solutions, offering a robust ecosystem. Ivan provides a data infrastructure platform with various open-source Java-compatible products. This is AI Generated summary of this video
0:24 Intro to the video
1:51 Intro of Sebastian
4:06 Trends for java tech stacks, it’s influence on current software development practices
10:47 How java is evolving in the field of cloud computing
15:12 MERN vs full stack
17:40 Java in AI and ML
23:21 How has demand for java devs changed
27:58 Sebi’s thoughts on Kotlin
34:08 Java in IoT, web3 and H-computing
36:14 When should start-ups consider using java
38:45 Security in java
42:04 Enterprise solutions
46:51 Outro
Thanks ❤
What a great and in-depth podcast! thanks @KunalKushwaha and Sebi for telling us about how Java is not only leading in the cloud native field, but also kicking into the whole AI & ML space. I've also seen this major shift of the AI space to Java especially after the introduction of Graal VM, which is insanely fast. Hope to see more podcasts like this one.
Hi Kunal where is the spring boot tutorial .
i need ittt.
Thanks kunal bhaiya.. ☺
Love you Kunal bhai
So is java worthful in 2024 ???
I think Jupyter notebook would be a great addition if supported in java
I think it is great tool for quick prototyping
No,
Thankyou Kunal bhaiya
Dsa with kunal in the phone i don't have a labtop i wich i had so i can work remote
But one maybe 2nd hand
No brother . Buy a 2nd hand 15-20k laptop . You will get good specs
Bro build a basic pc for 20k
5k monitor
1k keyboard and mouse
14k cpu i3 or dual core processor
Which video there is 2 pointer and slidding widow
I don't think so he covered that but you can follow Aditya Verma playlis for sliding window it's nice
@@velanthevar2459, are there any resources that you could recommend in English?
@@velanthevar2459 thanks a lot
@@velanthevar2459 it is in hindi and love the way kunal explain i wich he do a video about It
Sir , Please Complete Your DSA Course . It is the best , but please complete it .
Hi Brother, I have taken software testing using Java and now I have completed the course but is this in demand in 2024?
What about full stack java developer
It is not about the language or framework. It is about your engineering logical brain.
@@agentleman1498 Yeah I agree, I've written the comment in context of freshers
amazing.want more such sessions.Thank you
what did he said at 24:31 ?
"But i also advice you to dive into java EE" 24:31
Uncle ko khana to banane dete.. kunal bha… podcast to bad me hi ho jata 😂
Full stack java developer remotely
can anyone tell me the conclusion of this video
learn java 💀
@@wakeupsajid9439 for real or what ?
05:39 🚀 Java's evolution in the cloud space: From being criticized for slowness to overcoming it with initiatives like MicroProfile and new stacks like Quarkus, Spring Boot's native support, and GraalVM for native compilation.
08:35 🤖 Java's rising role in AI/ML: Previously dominated by Python, Java is gaining ground with libraries like L-CH for generative AI, and notable players like Microsoft and Red Hat investing in Java for AI projects.
13:08 🌐 Cloud-native Java applications: Quarkus, Spring Boot with native support, and GraalVM enable lightweight, fast, and resource-efficient Java applications suitable for serverless computing, with startup times as low as 0.003 seconds.
18:28 🌐 Java's industrial ecosystem advantage in AI: Java's established tooling, CI/CD, and dependency management make it an attractive choice for industrializing AI projects, facilitating the transition from development to production.
24:06 📈 Job market for Java developers: Java remains highly in demand, and learning Java, especially with frameworks like Spring Boot and understanding foundational concepts like servlets and threads, opens opportunities for both junior and experienced developers.
26:34 🌐 Explore open source Java projects on GitHub, contribute to them, and consider projects like Micronaut and Quarkus.
27:57 🚀 Get involved in the Java community, contribute to projects, and benefit from the supportive community.
29:28 🔄 Java's recent updates include features like Records, enhanced pattern matching, sealed classes/interfaces, and virtual threads.
32:20 📡 Learn Kafka for streaming data; it's crucial for the future. Kafka and its ecosystem, including Kafka Streams and Debezium, are written in Java.
34:57 🏢 Java remains relevant for large-scale enterprise solutions, offering a robust ecosystem. Ivan provides a data infrastructure platform with various open-source Java-compatible products.
This is AI Generated summary of this video
Learn AI not Java 😂
Thank u❤
nice
C++ owns java 🔥🔥🥵
??
@@ShortsWithMemes java gay 🤡🐒
Ikr