Virtualizing and Tuning Large Scale Java Platforms (VMware - download pdf or read online

Virtualizing and Tuning Large-Scale Java Platforms

 

Technical most sensible practices and real-world counsel for optimizing company Java purposes on VMware vSphere®

 

Enterprises now not ask, “Can Java be virtualized”? this day, they ask, “Just how huge do we scale virtualized Java software systems, and simply how successfully do we music them?” Now, the major specialist on Java virtualization solutions those questions, delivering certain technical details you could observe in any construction or QA/test atmosphere.

 

Emad Benjamin has spent 9 years virtualizing VMware’s personal firm Java functions and dealing with approximately three hundred prime VMware clients on tasks of all kinds and sizes—from a hundred JVMs to 10,000+, with lots from 1GB to 360GB, and together with enormous big-data functions equipped on clustered JVMs. Reflecting all this event, he indicates you ways to effectively dimension and track any Java workload.

 

This reference and function “cookbook” identifies high-value optimization possibilities that observe to actual environments, digital environments, or either. You how you can rationalize and scale latest Java infrastructure, modernize structure for brand spanking new purposes, and systematically benchmark and enhance each point of virtualized Java functionality. all through, Benjamin bargains genuine functionality reviews, particular recommendation, and “from-the-trenches” insights into tracking and troubleshooting.

 

Coverage includes

--Performance concerns linked to large-scale Java systems, together with consolidation, elasticity, and flexibility

--Technical issues coming up from theoretical and sensible limits of Java platforms

--Building horizontal in-memory databases with VMware vFabric SQLFire to enhance scalability and reaction times

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

--Designing and sizing a brand new virtualized Java environment

--Designing and sizing new large-scale Java systems while migrating from actual to virtualized deployments

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

--Real-world functionality stories: SQLFire vs. RDBMS, Spring-based Java net apps, vFabric SpringTrader, software levels, information levels, and extra

--Performance alterations among ESXi3, 4.1, and 5

--Best-practice concerns for every kind of workload: structure, functionality, layout, sizing, and excessive availability

--Identifying bottlenecks within the load balancer, net server, Java program server, or DB Server tiers

--Advanced vSphere Java functionality troubleshooting with esxtop

--Performance FAQs: solutions to express questions firm shoppers have asked