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Scale Up And Then Scale Out

Scale Up And Then Scale Out. Friday, May 17, 2013. Boosting Hibernate Performance with In-Memory Data Management. To avoid duplication, let me just point to the other blog location. Http:/ blog.terracotta.org/2013/05/16/boosting-hibernate-performance-with-in-memory-data-management/. Sunday, November 4, 2012. Go Big And Go Fast" with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. Broadly speaking, ...

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Scale Up And Then Scale Out | scaleupandout.blogspot.com Reviews
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Scale Up And Then Scale Out. Friday, May 17, 2013. Boosting Hibernate Performance with In-Memory Data Management. To avoid duplication, let me just point to the other blog location. Http:/ blog.terracotta.org/2013/05/16/boosting-hibernate-performance-with-in-memory-data-management/. Sunday, November 4, 2012. Go Big And Go Fast with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. Broadly speaking, ...
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Scale Up And Then Scale Out | scaleupandout.blogspot.com Reviews

https://scaleupandout.blogspot.com

Scale Up And Then Scale Out. Friday, May 17, 2013. Boosting Hibernate Performance with In-Memory Data Management. To avoid duplication, let me just point to the other blog location. Http:/ blog.terracotta.org/2013/05/16/boosting-hibernate-performance-with-in-memory-data-management/. Sunday, November 4, 2012. Go Big And Go Fast" with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. Broadly speaking, ...

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scaleupandout.blogspot.com scaleupandout.blogspot.com
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Scale Up And Then Scale Out: November 2012

http://www.scaleupandout.blogspot.com/2012_11_01_archive.html

Scale Up And Then Scale Out. Sunday, November 4, 2012. Go Big And Go Fast" with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. A) Scale - No of objects (Our test loads up 1M objects). B) Scale - Total size of dataset (Our test load up 1.2GB). C) Density - Vary the size of each object. D) Throughput - Our test uses 1 client with 9 threads. Getting started with Big Memory Max.

2

Scale Up And Then Scale Out: "Go Big And Go Fast" with BigMemory Max

http://www.scaleupandout.blogspot.com/2012/11/go-big-and-go-fast-with-bigmemory-max.html

Scale Up And Then Scale Out. Sunday, November 4, 2012. Go Big And Go Fast" with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. A) Scale - No of objects (Our test loads up 1M objects). B) Scale - Total size of dataset (Our test load up 1.2GB). C) Density - Vary the size of each object. D) Throughput - Our test uses 1 client with 9 threads. Subscribe to: Post Comments (Atom). View my complete profile.

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Scale Up And Then Scale Out: February 2011

http://www.scaleupandout.blogspot.com/2011_02_01_archive.html

Scale Up And Then Scale Out. Wednesday, February 2, 2011. Scale up before you Scale Out. Traditionally, Scaling of Enterprise applications meant scaling out. With the advent of BigMemory scaling solutions, its easier and more cost effective to scale up before you eventually scale out. Traditional Java Applications use the Heap to store the hot set of data. It makes logical sense to keep data that is used over and over again in a place where it can be accessed efficiently with low latency. Distributed Arc...

4

Scale Up And Then Scale Out: February 2012

http://www.scaleupandout.blogspot.com/2012_02_01_archive.html

Scale Up And Then Scale Out. Wednesday, February 15, 2012. How do I keep a Cache and DB in sync? While speaking with java architects, I often get asked the question - When I cache information, what happens if the data in the underlying database changes? How do I keep the cache and DB in sync. This blog addresses some of the common ways to address this issue. Couple of things to note here. Obviously there is the potential for a window when the data is in the cache and not consistent with the underlyin...

5

Scale Up And Then Scale Out: How do I keep a Cache and DB in sync?

http://www.scaleupandout.blogspot.com/2012/02/how-do-i-keep-cache-and-db-in-sync.html

Scale Up And Then Scale Out. Wednesday, February 15, 2012. How do I keep a Cache and DB in sync? While speaking with java architects, I often get asked the question - When I cache information, what happens if the data in the underlying database changes? How do I keep the cache and DB in sync. This blog addresses some of the common ways to address this issue. Couple of things to note here. Obviously there is the potential for a window when the data is in the cache and not consistent with the underlyin...

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blog.terracotta.org blog.terracotta.org

Real-time analytics | Terracotta Big Data Blog

http://blog.terracotta.org/category/real-time-analytics

Key Trends for the World’s Data-driven Future. December 15, 2014. This is a guest post by Craig Panigiris from Professional Advantage The average Western city-dweller is now exposed to more data in a day than 15th century people encountered in their entire lifetime. And that’s just observable data i.e. the information we physically see and hear on Youtube, 24 hour TV, digital billboard advertising, [.]. Continue reading ». Real-time Customer Experience Management with Apama and BigMemory. March 10, 2014.

blog.terracotta.org blog.terracotta.org

Ehcache | Terracotta Big Data Blog

http://blog.terracotta.org/category/ehcache

Ehcache Storage Tier Model With Offheap. April 13, 2015. This is a guest post by Chris Schanck, Senior Software Engineer. Ehcache has a tier model where it uses different types of storage (heap, offheap, disk, clustered). Ehcache will smartly move copies of ‘hot’ data into the different tiers as needed to provide the best performance for the “hottest” data. What is Ehcache Offheap? Continue reading ». Terracotta Bolsters In-Memory Open Source Offerings. April 2, 2015. Continue reading ». March 23, 2015.

blog.terracotta.org blog.terracotta.org

IoT Roundtable at the Gartner AADI conference | Terracotta Big Data Blog

http://blog.terracotta.org/2014/12/15/iot-roundtable-at-the-gartner-aadi-conference

IoT Roundtable at the Gartner AADI conference. December 15, 2014. Be realistic about the latency needs from the platform. Factor in data growth before architecting the platform. Always plan for new data sources getting introduced as the platform scales. Not ignore historical data while generating the insights from streaming data. Think twice before not storing all the ‘noise’ in the raw data as today’s noise could potentially become relevant at a later date. Please leave a comment below or email me.

blog.terracotta.org blog.terracotta.org

Real-Time Big Data Analytics using Presto & BigMemory | Terracotta Big Data Blog

http://blog.terracotta.org/category/analysis

Real-Time Big Data Analytics using Presto & BigMemory. March 2, 2014. This is a guest post by Cynthia Carpenter, Sr. Product Manager for Presto. The need for speed is changing the way organizations think and this is impacting their demand for data. Today’s customers require more real-time insight into what is happening in their organization and why. For years, Presto has been a leader in broadening [.]. Continue reading ». The Data Scientist: A Sexy Hybrid Role. October 24, 2013. Continue reading ».

blog.terracotta.org blog.terracotta.org

Big Data Blog | Terracotta

http://blog.terracotta.org/page/2

Accelerate Application Scalability with BigMemory Hybrid. October 9, 2014. This is a guest post by Foram Gandhi, Senior Product Manager, Terracotta. According to a research on ZDNet, SSDs are set to grab over one third of PC storage solutions market by 2017[1]. Enterprise SSD demand has been growing exponentially and is expected to grow through 2017 [2] Why is SSD so popular? SSDs are known [.]. Continue reading ». European Shopping Club deploys BigMemory. July 1, 2014. Continue reading ». June 13, 2014.

blog.terracotta.org blog.terracotta.org

Key Trends for the World’s Data-driven Future | Terracotta Big Data Blog

http://blog.terracotta.org/2014/12/15/key-trends-for-the-worlds-data-driven-future

Key Trends for the World’s Data-driven Future. December 15, 2014. This is a guest post by Craig Panigiris from Professional Advantage. The average Western city-dweller is now exposed to more data in a day than 15th century people encountered in their entire lifetime. And that’s just observable data i.e. the information we physically see and hear on Youtube, 24 hour TV, digital billboard advertising, and the myriad of other informational stimuli generated by modern society. It’s stored on tapes. So the su...

blog.terracotta.org blog.terracotta.org

Gagan Mehra | Terracotta Big Data Blog

http://blog.terracotta.org/author/gagan

Terracotta OSS Dev Starter. April 22, 2015. The Terracotta Server Array (TSA) provides the platform for Terracotta products and the backbone for Terracotta clusters. It allows, for instance, to use Ehcache in a clustered mode, and benefit of a distributed in-memory cache. It is available as open source, and you may want to contribute to it, or even just build it yourself [.]. Continue reading ». Ehcache Storage Tier Model With Offheap. April 13, 2015. Continue reading ». April 2, 2015. March 23, 2015.

blog.terracotta.org blog.terracotta.org

Unlocking Big Data at CERN: Strata + Hadoop World 2014 Event Report | Terracotta Big Data Blog

http://blog.terracotta.org/2014/10/22/unlocking-big-data-at-cern-strata-hadoop-world-2014-event-report

Unlocking Big Data at CERN: Strata Hadoop World 2014 Event Report. October 22, 2014. Last week Manish Devgan, Head of Product Management for Terracotta and Matthias Braeger, Software Engineer at CERN presented at Strata. Their talk was focused. And demonstrate how critical it is to deploy an in-memory platform when dealing with high-volume and high-velocity data. If you have any questions about the session or would like to share your thoughts, please leave a comment below. Leave a Reply Cancel reply.

blog.terracotta.org blog.terracotta.org

BigMemory | Terracotta Big Data Blog

http://blog.terracotta.org/category/bigmemory

Ehcache Storage Tier Model With Offheap. April 13, 2015. This is a guest post by Chris Schanck, Senior Software Engineer. Ehcache has a tier model where it uses different types of storage (heap, offheap, disk, clustered). Ehcache will smartly move copies of ‘hot’ data into the different tiers as needed to provide the best performance for the “hottest” data. What is Ehcache Offheap? Continue reading ». Terracotta Bolsters In-Memory Open Source Offerings. April 2, 2015. Continue reading ». January 5, 2015.

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Scale Up And Then Scale Out

Scale Up And Then Scale Out. Friday, May 17, 2013. Boosting Hibernate Performance with In-Memory Data Management. To avoid duplication, let me just point to the other blog location. Http:/ blog.terracotta.org/2013/05/16/boosting-hibernate-performance-with-in-memory-data-management/. Sunday, November 4, 2012. Go Big And Go Fast" with BigMemory Max. The below sample shows you how easy it is to scale using BigMemory Max. This shows you how to scale using BigMemory on the following facets. Broadly speaking, ...

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