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Emad Benjamin

Emad Benjamin

Chief Technologist, Application Platforms, VMware

Emad has spent the past 25 years in various software engineering positions involving software development of application platforms and distributed systems for various industries such as finance, health, IT, and heavy industry – in various international locations. Emad is currently the Sr. Director and Chief Technologist of Application Platforms with Office of the CTO at VMware, focusing on building hybrid cloud distributed runtimes that are application aware.

Presentations

Virtualizing and Tuning Large Scale Java Platforms

8:30 AM MDT

The session will cover various GC tuning techniques, in particular focus on tuning large scale JVM deployments. Come to this session to learn about GC tuning recipe that can give you the best configuration for latency sensitive applications. While predominantly most enterprise class Java workloads can fit into a scaled-out set of JVM instances of less than 4GB JVM heap, there are workloads in the in memory database space that require fairly large JVMs.

In this session we take a deep dive into the issues and the optimal tuning configurations for tuning large JVMs in the range of 4GB to 128GB. In this session the GC tuning recipe shared is a refinement from 15 years of GC engagements and an adaptation in recent years for tuning some of the largest JVMs in the industry using plain HotSpot and CMS GC policy. You should be able to walk away with the ability to commence a decent GC tuning exercise on your own. The session does summarize the techniques and the necessary JVM options needed to accomplish this task. Naturally when tuning large scale JVM platforms, the underlying hardware tuning cannot be ignored, hence the session will take detour from the traditional GC tuning talks out there and dive into how you optimally size a platform for enhanced memory consumption. Lastly, the session will also cover vfabric reference architecture where a comprehensive performance study was done.

Virtualizing and Tuning Large Scale Java Platforms

10:30 AM MDT

The session will cover various GC tuning techniques, in particular focus on tuning large scale JVM deployments. Come to this session to learn about GC tuning recipe that can give you the best configuration for latency sensitive applications. While predominantly most enterprise class Java workloads can fit into a scaled-out set of JVM instances of less than 4GB JVM heap, there are workloads in the in memory database space that require fairly large JVMs.

In this session we take a deep dive into the issues and the optimal tuning configurations for tuning large JVMs in the range of 4GB to 128GB. In this session the GC tuning recipe shared is a refinement from 15 years of GC engagements and an adaptation in recent years for tuning some of the largest JVMs in the industry using plain HotSpot and CMS GC policy. You should be able to walk away with the ability to commence a decent GC tuning exercise on your own. The session does summarize the techniques and the necessary JVM options needed to accomplish this task. Naturally when tuning large scale JVM platforms, the underlying hardware tuning cannot be ignored, hence the session will take detour from the traditional GC tuning talks out there and dive into how you optimally size a platform for enhanced memory consumption. Lastly, the session will also cover vfabric reference architecture where a comprehensive performance study was done.

Books

Virtualizing and Tuning Large Scale Java Platforms (VMware Press Technology)

Virtualizing and Tuning Large Scale Java Platforms (VMware Press Technology)

by Emad Benjamin

Virtualizing and Tuning Large-Scale Java Platforms

 

Technical best practices and real-world tips for optimizing enterprise Java applications on VMware vSphere®

 

Enterprises no longer ask, “Can Java be virtualized”? Today, they ask, “Just how large can we scale virtualized Java application platforms, and just how efficiently can we tune them?” Now, the leading expert on Java virtualization answers these questions, offering detailed technical information you can apply in any production or QA/test environment.

 

Emad Benjamin has spent nine years virtualizing VMware’s own enterprise Java applications and working with nearly 300 leading VMware customers on projects of all types and sizes—from 100 JVMs to 10,000+, with heaps from 1GB to 360GB, and including massive big-data applications built on clustered JVMs. Reflecting all this experience, he shows you how to successfully size and tune any Java workload.

 

This reference and performance “cookbook” identifies high-value optimization opportunities that apply to physical environments, virtual environments, or both. You learn how to rationalize and scale existing Java infrastructure, modernize architecture for new applications, and systematically benchmark and improve every aspect of virtualized Java performance. Throughout, Benjamin offers real performance studies, specific advice, and “from-the-trenches” insights into monitoring and troubleshooting.

 

Coverage includes

--Performance issues associated with large-scale Java platforms, including consolidation, elasticity, and flexibility

--Technical considerations arising from theoretical and practical limits of Java platforms

--Building horizontal in-memory databases with VMware vFabric SQLFire to improve scalability and response times

--Tuning large-scale Java using throughput/parallel GC and Concurrent Mark and Sweep (CMS) techniques

--Designing and sizing a new virtualized Java environment

--Designing and sizing new large-scale Java platforms when migrating from physical to virtualized deployments

--Designing and sizing large-scale Java platforms for latency-sensitive in-memory databases

--Real-world performance studies: SQLFire vs. RDBMS, Spring-based Java web apps, vFabric SpringTrader, application tiers, data tiers, and more

--Performance differences between ESXi3, 4.1, and 5

--Best-practice considerations for each type of workload: architecture, performance, design, sizing, and high availability

--Identifying bottlenecks in the load balancer, web server, Java application server, or DB Server tiers

--Advanced vSphere Java performance troubleshooting with esxtop

--Performance FAQs: answers to specific questions enterprise customers have asked

 

 

Enterprise Java Applications Architecture on VMware

Enterprise Java Applications Architecture on VMware

by Emad Benjamin

This book is the culmination of 7 years of experience in running Java on VMware vSphere both internally at VMware and at VMware customer sites. In fact many of VMware’s customers run critical enterprise Java applications on VMware vSphere where they have achieved better TCO, and SLAs. This book covers high level architecture and implementation details, such as design and sizing, high availability designs, automation of deployments, best practices, tuning, and troubleshooting techniques.