Get Virtualizing and Tuning Large Scale Java Platforms (VMware PDF

Virtualizing and Tuning Large-Scale Java Platforms

 

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

 

Enterprises not ask, “Can Java be virtualized”? this day, they ask, “Just how huge will we scale virtualized Java program structures, and simply how successfully do we track them?” Now, the prime professional on Java virtualization solutions those questions, delivering distinct technical details you could observe in any creation or QA/test surroundings.

 

Emad Benjamin has spent 9 years virtualizing VMware’s personal firm Java functions and dealing with approximately three hundred top 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 sizeable big-data functions outfitted on clustered JVMs. Reflecting all this adventure, he indicates you the way to effectively measurement and song any Java workload.

 

This reference and function “cookbook” identifies high-value optimization possibilities that observe to actual environments, digital environments, or either. You the right way to rationalize and scale current 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 reports, particular recommendation, and “from-the-trenches” insights into tracking and troubleshooting.

 

Coverage includes

--Performance matters linked to large-scale Java structures, 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 experiences: SQLFire vs. RDBMS, Spring-based Java net apps, vFabric SpringTrader, program degrees, information degrees, 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, internet server, Java program server, or DB Server tiers

--Advanced vSphere Java functionality troubleshooting with esxtop

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