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HSR Layout, Bangalore

Course ID: 21658

HSR Layout, Bangalore

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TBA
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Date and Time

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TBA

B.Tech, M.Tech

About TBA

The trainer is an expert and has 12+ years of exhaustive experience in the IT industry with vast exposure to designing and developing applications. He is able to create rich, interactive and lively learning experience. His ability to powerfully communicate complex
technology concepts to audiences of various levels is highly appreciated by his trainees and training managers. Global giants, such as Nokia, IBM, Sun, Capgemini, GE, Sap Labs, Accenture, HP, NSN, Honeywell etc have benefited from his training deliveries, and keep coming back for repeated deliveries.
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About the Course

At the end of the Java Performance Tuning training course, the participants will be able to gain an understanding of:

*Optimization in multithreaded programming

Topics Covered

1. Terms & Concepts
2. Performance v/s Scalability
3. Course objectives
4. Throughput, Latency
5. Factors that affect performance
6. Work characteristics
7. Anti-patterns that cause performance / scalability problems
8. Testing to on cover problems
9. Patterns / best practices
10. For Memory
11. For Profiling
12. Benchmarking

Who should attend

Project team that wants to ensure good performance of new version of application, which is going into production.

Pre-requisites

Experienced programmers with good knowledge of Java and multithreaded programming and comfortable developing Java applications.

What you need to bring

Laptop

Key Takeaways

At the end of the Java Performance Tuning training course, the participants will be able to gain an understanding of:

*Optimization in multithreaded programming
*How to process huge amounts of data with less CPU consumption
*Can code be optimized in a multi CPU environment
*If there are multiple process intensive operations to be done in parallel how do we achieve this in optimized way
*Optimized caching mechanisms/less memory consumption
*If there are lots of read-write operations to a persistence system/database, how can we optimize it

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