Download PDF by Emad Benjamin: Virtualizing and Tuning Large Scale Java Platforms (VMware

Virtualizing and Tuning Large-Scale Java Platforms

 

Technical top practices and real-world suggestions for optimizing firm Java functions on VMware vSphere®

 

Enterprises not ask, “Can Java be virtualized”? this present day, they ask, “Just how huge will we scale virtualized Java software systems, and simply how successfully will we track them?” Now, the top specialist on Java virtualization solutions those questions, supplying specific technical info you could follow in any construction or QA/test surroundings.

 

Emad Benjamin has spent 9 years virtualizing VMware’s personal firm Java purposes and dealing with approximately three hundred top VMware clients on tasks of all kinds and sizes—from a hundred JVMs to 10,000+, with tons from 1GB to 360GB, and together with huge big-data purposes equipped on clustered JVMs. Reflecting all this adventure, he indicates you the way to effectively dimension and music any Java workload.

 

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

 

Coverage includes

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

--Technical concerns coming up from theoretical and useful 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 whilst migrating from actual to virtualized deployments

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

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

--Performance ameliorations among ESXi3, 4.1, and 5

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

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

--Advanced vSphere Java functionality troubleshooting with esxtop

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