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Displaying posts with tag: scalability (reset)

Best of Guide – Highlights of Our Popular Content
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We cherry pick the top 5 most popular posts of various topics we’ve covered in recent months.

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MySQL 5.6 Replication: FAQ
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On Wednesday May 16th, we ran a webinar to provide an overview of all of the new replication features and enhancements that are previewed in the MySQL 5.6 Development Release – including Global Transaction IDs, auto-failover

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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 facebook, you must be prepared (and be afraid) that to your party, not noone will show up, but everybody will show up!"
So true! Simple and true. We all want to succeed, to have success with our app. We have to think about scaling




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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 to continue in next posts:

Solution Scales reads? Scales writes? Scales data? Scales sessions? Cloud? Bottom line Scale-Up: faster HW, CPU, memory,





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Applications come and go. Databases are here to scale.
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In my heart, I'm a DBA, always was and always will be. People say I'm a database guy by the way I think, keep my car, and file my music and also bank statements... However I did great deal of development, design, architecture on the apps side. I (hope to) have some perspective.

Applications come and go. The second programming language I've ever learned and worked on was COBOL, some still say most of the world's lines of code are written in this language, maybe so, but anyway I since then have known and written in dozens of programming languages, from Assembly to Force.com, from Pascal to Delphi, from functional C to Object Oriented SmallTalk, C++, Java and , from compiled C/CGI to interpreted Perl, ASP and Ruby back to compiled node.js... My first applications ran on Main-Frame with green screen, later I created beautiful graphic

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MariaDB-5.5 Thread Pool Performance
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MariaDB-5.5.21-beta is the first MariaDB release featuring the new thread pool. Oracle offers a commercial thread pool plugin for MySQL Enterprise, but now MariaDB brings a thread pool implementation to the community!

If you are not familiar with the term, please read the Knowledge Base article about it.

The main design goal of the thread pool is to increase the scalability of the MariaDB server with many concurrent connections. In order to test and demonstrate this, I have run the sysbench OLTP RO benchmark with up to 4096 threads to compare the new pool-of-threads and the traditional thread-per-connection scheduler:

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Black-Box Performance Analysis with TCP Traffic
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This is a cross-post from the MySQL Performance Blog. I thought it would be interesting to users of PostgreSQL, Redis, Memcached, and $system-of-interest as well.

For about the past year I’ve been formulating a series of tools and practices that can provide deep insight into system performance simply by looking at TCP packet headers, and when they arrive and depart from a system. This works for MySQL as well as a lot of other types of systems, because it doesn’t require any of the contents of the packet. Thus, it works without knowledge of what the server and client are conversing about. Packet headers contain only information that’s usually regarded as non-sensitive (IP address, port, TCP flags, etc), so it’s

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Scalability Rules for managers and startups
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Abbott and Fisher’s previous book, The Art of Scalability received good reviews for shifting the way we think about scalability from merely splitting databases and adding servers, to include the human factors that weigh heavily on its success. Together with the authors’ distinguished pedigree (PayPal, Amazon, and eBay between them), I picked up a copy of their second book, Scalability Rules - 50 Principles for Scaling Web Sites without a second

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What Ops doesn’t tell you about your MySQL Database
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Read the original article at What Ops doesn’t tell you about your MySQL Database

MySQL is a very scalable platform which has proven robust even in the most dense and complex data environments. MySQL’s indispensable replication function is ‘sold’ as being fail-safe so you have little to sweat about as long as your backups are running regularly. But what the ops guys aren’t telling you is MySQL performs replication with tiny margins of error that could cause big problems in times of disaster.

The Scenario

Imagine the scene, you use replication to backup your data. Your secondary database is your peace of mind. It’s the always-on

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High Performance PHP Session Storage on Scale
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One of the great things about the HTTP protocol, besides status code 418, is that it's stateless. A web server therefore is not required to store any information on the user or allocate resources for a user after the individual request is done. By that a single web server can handle many many many different users easily, and well if it can't anymore one can add a new server, put a simple load balancer in front and scale out. Each of those web servers then handles its requests without the need for communication which leads to linear scaling (assuming network provides enough bandwidth etc.).

Now the Web isn't used for serving static documents only anymore but we have all these fancy web apps. And those applications often have the need for a state. The most trivial information they need is the current user.

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10 Newer Entries Showing entries 61 to 70 of 188 10 Older Entries

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