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10 Newer Entries Showing entries 31 to 40 of 69 10 Older Entries

Displaying posts with tag: sharding (reset)

Searching document stores in 2013: from 1983 to SQL:2003 in a blink?
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I love the new NoSQL systems: more choices! After years of RDBMS dominance there are hundrets of NoSQL systems offering a wide range of data models, data distribution strategies and interfaces. Polyglot persistence describes the market change. I am most fascinated by document stores: nested data and data distribution go hand-in-hand. Nested data, finally. And, for those who like it: schemaless or even schemafree. Maybe …

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The Data Day, Two days: January 9/10 2013
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SAP on HANA. Funding for Guavus and ScaleArc. And more

It’s alive! @451research‘s 2013 Database survey is available now at bit.ly/451db13 #mysql #nosql #newsql #postgresql etc etc

— Matt Aslett (@maslett) …

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Some sharding support and cache locality optimization support for PHP MySQL driver
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It is time for christmas presents: some sharding support and cache locality optimizations are coming with PECL/mysqlnd_ms 1.5. PECL/mysqlnd_ms is a plugin for the mysqlnd library. The plugin adds replication and load balancing support to any PHP MySQL API (mysql, mysqli, PDO_MySQL) if compiled to use the mysqlnd …

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Being successful like Pinterest without its DB adventures...
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I just came across this: "Scaling Pinterest and adventures in database sharding"  (http://gigaom.com/data/scaling-pinterest-and-adventures-in-database-sharding/)
"Pinterest has learned about scaling the way most popular sites do — the architecture works until one day it doesn’t"Pinterest found out that "the architecture" is not scalable and they turned to development of a Scale Out mechanism also called Sharding.

I find it amazing that sharding, or in other words, the idea of "scale out by …


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Facebook makes big data look... big!
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Oh I love these things: http://techcrunch.com/2012/08/22/how-big-is-facebooks-data-2-5-billion-pieces-of-content-and-500-terabytes-ingested-every-day/

Every day there are 2.5B content items shares, and 2.7B "Like"s. I care less about GiGo content itself, but metadata, connections, relations are kept transactionally in a relational database. The above 2 use-cases generate 5.2B transactions …

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Scale Up, Partitioning, Scale Out
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On the 8/16 I conducted a webinar titled: "Scale Up vs. Scale Out" (http://www.slideshare.net/ScaleBase/scalebase-webinar-816-scaleup-vs-scaleout):


ScaleBase Webinar 8.16: ScaleUp vs. ScaleOut from ScaleBase
The webinar was successful, we had many attendees and great participation in …



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ARM based data center. Inspiring.
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In a previous post I wrote ARM based servers. Since then, and thanks to all the comments and responses I got, I looked more into this ARM thing and it's absolutely fascinating...

Look at this beauty (taken from the site of Calxeda, the manufacturer):

What is it? A chip? A server? No, it's a cluster of 4 servers... …



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Why shared-storage DB clusters don't scale
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Yesterday I was asked by a customer for the reason why he had failed to achieve scale with a state-of-the-art "shared-storage" cluster. "It's a scale-out to 4 servers, but with a shared disk. And I got, after tons of work and efforts, 130% throughput, not even close to the expected 400%" he said.

Well, scale-out cannot be achieved with a shared storage and the word "shared" is the key. Scale-out is done with absolutely nothing shared or a "shared-nothing" architecture. This what makes it linear and unlimited. Any shared resource, creates a tremendous burden on each and every database server in the …

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Impressions from Amazon's AWS Summit in NYC
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Yesterday (4/19) I attended the AWS Summit in NYC (http://aws.amazon.com/aws-summit-2012/nyc).

I'm a big fan and also a heavy user of AWS especially S3, EC2, and naturally, RDS. In every point in time I have several dozens of AWS machines running for me out there in the East region, and in some cases when we do some special benchmarks and tests, number of EC2 and RDS machines can easily reach 3-digit. As I said, I'm a fan...

A few quotes I was able to catch and document on my laptop, on my laps...:
"When you develop an app for …




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So how can we scale databases?
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There are ways to scale databases, unfortunately some are limited, some introduce complexities, some are do not fit the cloud...

By scaling solution I mean a solutions that help me scale my existing environment, my existing RDBMS. Some magic or technology that will take my existing Oracle or MySQL for example, to the next level, without porting to a new DB engine/vendor and without completely recoding my app.

Let's try to organize things a bit in this very summarized table, just to get the hunch of it. I can't imagine to cover it all in 1 table or even 100 pages, but that should be a start of a meaningful discussion …



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10 Newer Entries Showing entries 31 to 40 of 69 10 Older Entries

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