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  • How to choose how to store data?

    - by Eldros
    Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime. - Chinese Proverb I could ask what kind of data storage I should use for my actual project, but I want to learn to fish, so I don't need to ask for a fish each time I begin a new project. So, until I used two methods to store data on my non-game project: XML files, and relational databases. I know that there is also other kind of database, of the NoSQL kind. However I wouldn't know if there is more choice available to me, or how to choose in the first place, aside arbitrary picking one. So the question is the following: How should I choose the kind of data storage for a game project? And I would be interested on the following criterion when choosing: The size of the project. The platform targeted by the game. The complexity of the data structure. Added Portability of data amongst many project. Added How often should the data be accessed Added Multiple type of data for a same application Any other point you think is of interest when deciding what to use. EDIT I know about Would it be better to use XML/JSON/Text or a database to store game content?, but thought it didn't address exactly my point. Now if I am wrong, I would gladely be shown the error in my ways.

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  • Hosting and scaling a Facebook application in the cloud? [migrated]

    - by DhruvPathak
    We would be building a Facebook application in Django (Python), but still not sure of where to host it economically, and with a good provision to scale in case the app gets viral. Some details about the app: Would be HTML based like a website,using django as a framework. 100K is the number of expected pageviews in a day, if the app is viral. The users will not generate any media content, only some database data will be generated by them. It would be great if someone with more experience can guide on following points: A) Hosting on Google app engine or Amazon EC2 or some other cloud like RackSpace : Preferable points found in AppEngine were ease of deployment, cost effectiveness and easy scaling. For EC2: Full hold of the virtual machine,Amazon NoSQL and RDMBS database services in case we decide to use them. B) Does backend technology affect monthly cost? eg. would CPU and memory usage difference of Django over , for example , PHP framework like CodeIgnitor really make remarkable difference in running costs. (Here is the article that triggered this thought process : http://journal.dedasys.com/2010/01/12/rough-estimates-of-the-dollar-cost-of-scaling-web-platforms-part-i#comments) C) Does something like Heroku , which provides additional services over Amazon EC2, prove to be better than raw cloud management? It is not that we are trying for premature scaling, we just want to have a good start so that we are ready to handle unpredicted growth and scale.

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  • Late feedback

    - by Sveta Smirnova
    MySQL Community team asked me to write about Devconf 2013 few months ago. Conference was in June, 2013, but I remembered about this my promise only now: month later after my participating in MySQL Connect and Expert Troubleshooting seminar (change country to United Kingdom if you see blank page). I think it is too late for the feedback, but I still have few thoughts which I want to record.DevConf (former PHPConf) always was a place where I tried new topics. At first, because I know audience there very well and they will be bored if I repeat a story which I was telling last year, but also because it is much easier to get feedback in your own native language. But last years my habit seems started to change and I presented improved version of my 2012 MySQL Connect talk about MySQL backups. Of course, I also had a seminar with unique topic, made for this conference first time: Troubleshooting MySQL Performance with EXPLAIN and Using Performance Schema to Troubleshoot MySQL. And these topics, improved, were presented at the expert seminar. It is interesting how my habit changes and one public speaking activity interferes next one.What is good about DevConf is it forces you to create new ideas and do it really well, because audience is not forgiving at all, so they catch everything you miss or prepared not good enough. This can be bad if you want to make a marketing-style topic for free, but allows to present technical features in really good details: all these sudden discussions really help.In year 2013 Oracle had a booth at the conference and was presented by a bunch of people. Dmitry Lenev presented topic "New features of replication in MySQL 5.6" and Victoria Reznichenko worked on the booth. What was new at the conference this year is greater interest in NoSQL, scale and fast development solutions. This, unfortunately, means not so huge interest in MySQL as it was earlier. However, at the same time, "Common" track was really MySQL track: not only Oracle, but people from other companies presented about it.

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  • How do you keep down your urge to learn many things [closed]

    - by devsundar
    One of the difficulties i have is to lower my urge to learn new things (Languages, tools, frameworks etc.). I know it's good to stay the bleeding edge, but at the same time i want to learn things properly. I really see that i need to strike a balance between staying bleeding edge and knowing things properly. For example: Before choosing Arch (Desktop), Ubuntu(Server) and Knoppix(Portable) -- depending on situation -- as favourite distributions. Virtually i have tried all popular linux distributions. You name any popular linux (Redhat, Ubuntu, Arch, Suse, Knoppix, Slax, Slackware) i have tried it for some time. In fact i have spent few years experimenting the operating systems. Before choosing Python, Javascript (nodejs). I have tried all the languages i cameacross Scala, Haskell, Erlang, Ruby, Python, Perl, Scheme. Same applies for database. All popular db RDBMS (Oracle, Mysql, Postgres, SQLite[Favourite] etc) and NoSQL (Mongo, Couch, Neo4j etc.). Advantages i see: We get a overall picture of the technologies/tools/languages. It's useful to select the right tool for the job. We develop a taste and choose the One we like. Disadvantages: I feel that i spend somuch time and see a need to strike a balance. In summary, for e.g. If i see a blog post in HackerNews about CofeeScript i will try it out irrespective of what i am currently learning (Say Haskell). I switch back to learning Haskell, then again i see DART i check it out. And this continues.. Effectively i take more time to learn Haskell, but learnt about other new stuff on the way. The quetion i have is how do you strike a balance between staying bleeding edge and learning properly.

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  • Scala - learning by doing

    - by wrecked
    coming from the PHP-framework symfony (with Apache/MySQL) I would like to dive into the Scala programming language. I already followed a few tutorials and had a look at Lift and Play. Java isn't a stranger to me either. However the past showed that it's easiest to learn things by just doing them. Currently we have a little - mostly ajax-driven - application build on symfony at my company. My idea is to just build a little project similar to this one which might gets into production in the future. The app should feature: High scalability and performance a backend-server web-interface and a GUI-client There are plenty of questions arising when I think of this. First of all: Whats the best way to accomplish a easy to maintain, structured base for it? Would it be best to establish a socket based communication between pure-scala server/client and accessing that data via Lift or is building a Lift-app serving as a server and connecting the gui-client (via REST?) the better way? Furthermore I wounder which database to choose. I'm familiar with (My)SQL but feel like a fool beeing confronted with all these things like NoSQL, MongoDB and more. Thanks in advance!

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  • How do I develop database-utilizing application in an agile/test-driven-development way?

    - by user39019
    I want to add databases (traditional client/server RDBMS's like Mysql/Postgresql as opposed to NoSQL, or embedded databases) to my toolbox as a developer. I've been using SQLite for simpler projects with only 1 client, but now I want to do more complicated things (ie, db-backed web development). I usually like following agile and/or test-driven-development principles. I generally code in Perl or Python. Questions: How do I test my code such that each run of the test suite starts with a 'pristine' state? Do I run a separate instance of the database server every test? Do I use a temporary database? How do I design my tables/schema so that it is flexible with respect to changing requirements? Do I start with an ORM for my language? Or do I stick to manually coding SQL? One thing I don't find appealing is having to change more than one thing (say, the CREATE TABLE statement and associated crud statements) for one change, b/c that's error prone. On the other hand, I expect ORM's to be a low slower and harder to debug than raw SQL. What is the general strategy for migrating data between one version of the program and a newer one? Do I carefully write ALTER TABLE statements between each version, or do I dump the data and import fresh in the new version?

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  • Hosting and scaling a Facebook application in the cloud? [closed]

    - by DhruvPathak
    Possible Duplicate: How to find web hosting that meets my requirements? We would be building a Facebook application in Django (Python), but still not sure of where to host it economically, and with a good provision to scale in case the app gets viral. Some details about the app: Would be HTML based like a website,using django as a framework. 100K is the number of expected pageviews in a day, if the app is viral. The users will not generate any media content, only some database data will be generated by them. It would be great if someone with more experience can guide on following points: A) Hosting on Google app engine or Amazon EC2 or some other cloud like RackSpace : Preferable points found in AppEngine were ease of deployment, cost effectiveness and easy scaling. For EC2: Full hold of the virtual machine,Amazon NoSQL and RDMBS database services in case we decide to use them. B) Does backend technology affect monthly cost? eg. would CPU and memory usage difference of Django over , for example , PHP framework like CodeIgnitor really make remarkable difference in running costs. (Here is the article that triggered this thought process : http://journal.dedasys.com/2010/01/12/rough-estimates-of-the-dollar-cost-of-scaling-web-platforms-part-i#comments) C) Does something like Heroku , which provides additional services over Amazon EC2, prove to be better than raw cloud management? It is not that we are trying for premature scaling, we just want to have a good start so that we are ready to handle unpredicted growth and scale.

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  • ?????????????????????TCO???????????????????WebLogic???????|WebLogic Channel|??????

    - by ???02
    ????????????/????????????????????????????·???????????????????????????????????????????????????????????WebLogic Server??????(????????)???????????????????????????Oracle Database??????????????????????TCO??????????????????·??????·??????????WebLogic Server???????????????????????(???)???????????????????????????????????????????WebLogic Server?????????????????????????????Oracle Database?????????????????????????????WebLogic Server????????1???Oracle RAC???????????·?????????WebLogic Server??????Oracle Database?????????·??????·?????????????????????????????Oracle Real Application Clusters(RAC)?????????????????????? WebLogic Server???Oracle RAC???????????Active GridLink for RAC???????????????????????Oracle RAC???WebLogic Server?????????????????????????????????Oracle RAC????????????????????????????1?????????????????????????????????????????????????????????????Oracle RAC???"??"?????????????????????????????????·???????????????????????????????????????????????????????·??????????????????????????????????????WebLogic Server?Oracle RAC?????????????????????????Oracle RAC????????????????????????????????WebLogic Server??Oracle RAC????????????????·?????????????????????????????·?????Oracle WebLogic Server?Real Application Clusters? ···?????·???????Oracle WebLogic Server 10.3?????????Oracle RAC?????????????????????????????????????????????????????????????????????????????????????????????????????????????????Oracle WebLogic Server JDBC???·???????Oracle RAC?????????????????????????????????????·????????????????????DB?Oracle Coherence???????????/???????????????????/???????????????????????????????NOSQL?(SQL???????????????/??????????)???????????????????????????·????????????Oracle Coherence???????????????????/??????????????????????? ??Coherence??????????WebLogic Server????1???Coherence?????????·??????????????????"????????"????????????????WebLogic Server?????????????????????O/R?????·?????????Oracle TopLink?????????TopLink?Java???????????????Java Persistence API(JPA)????????JPA?????????????????????TopLink?????Oracle Database????????Coherence?????????????????????? ???WebLogic Server????????????????????Coherence?????????????????????·???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ???????WebLogic Server??Coherence?HTTP????????????????????WebLogic Server????????????????????Coherence????????????????????????????????????????????????????????????WebLogic Server???????????????Coherence?????????????????????????????????????????Coherence???????????????EC??????????·??????????????????????Web?????????????????????????????????????????????????????????????????????·????????????????WebLogic Server?????????1?????Oracle Enterprise Manager????????????????????????????????????Oracle Enterprise Manager(EM)??????????????Oracle EM???????URL???????????????????????????????Oracle Database?????????????????????????????????????"?????"??????TCO??????????????/??????????????????IT?TCO(??????)???????WebLogic Server???????????? ???????????????????????????????????????????????????????????WebLogic Server??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ??????????Oracle EM??????Oracle Database??????????????????????????????????????????????????????????????????TCO????????????? ????Java EE??????????????????????????????????????????TCO????????????????WebLogic Server?????????????????????·????????????????WebLogic Server????????????????????????????IT???????????????????????????WebLogic Server????????????????????????? ???????????????????????????????????????????????JRockit????????????????Sun JVM???????????????WebLogic Server????????Sun JVM????????????????????????????????? ????????????????????????????????????????????????????????????????????? ?????????????????Oracle EM????????????????Oracle EM???????????????????????????????????????????????????????????????????????????????????????????????????????????????? ??????Java EE??????????????????????????????????????????????????WebLogic Server?????????????????????????????????????????????????????????????WebLogic Server????????????????????????????WebLogic Server???????????????????????????????????????????????????????????????? ??????TCO???????????????????Java EE???????????????????????????????????????????????"?????"?????????·???????? ??????WebLogic Server??????????????????????·??????·??????????????????????????????????WebLogic Server??????????????????????????????????????????????

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  • Difference between Document-oriented-DB and Bigtable clones

    - by chen
    We are looking for a suitable storage engine for our weblog history data. We looked at Bigtable's paper and understand it is suitable to us well. However, I also understand that Document-oriented-DB such as MongoDB seems to provide a little more powerful schema power -- i.e, it can model our data as well. I wonder how nowadays ppl choose a scalable NoSQL DB --- I read enough articles like "we looked at A, B and C, and we decided to use C". But I'd like to see some benchmark number. What I am saying is that if MongoDB and the like can provide same level of performance as Bigtable clones, why don't web companies choose it (preparing to deal with various potentially more complex data problem)? Thanks, By the way, I read an article (which convinced me at the moment) saying Cassandra does not fit the M/R operation, any comments?

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  • Free data warehouse - Infobright, Hadoop/Hive or what ?

    - by peperg
    I need to store large amount of small data objects (millions of rows per month). Once they're saved they wont change. I need to : store them securely use them to analysis (mostly time-oriented) retrieve some raw data occasionally It would be nice if it could be used with JasperReports or BIRT My first shot was Infobright Community - just a column-oriented, read-only storing mechanism for MySQL On the other hand, people says that NoSQL approach could be better. Hadoop+Hive looks promissing, but the documentation looks poor and the version number is less than 1.0 . I heard about Hypertable, Pentaho, MongoDB .... Do you have any recommendations ? (Yes, I found some topics here, but it was year or two ago)

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  • Essential skills of a Data Scientist

    - by harshsinghal
    I would like to know more about the relevant skills in the arsenal of a Data Scientist, and with new technologies coming in every day, how one picks and chooses the essentials. A few ideas germane to this discussion: Knowing SQL and the use of a DB such as MySQL, PostgreSQL was great till the advent of NoSql and non-relational databases. MongoDB, CouchDB etc. are becoming popular to work with web-scale data. Knowing a stats tool like R is enough for analysis, but to create applications one may need to add Java, Python, and such others to the list. Data now comes in the form of text, urls, multi-media to name a few, and there are different paradigms associated with their manipulation. What about cluster computing, parallel computing, the cloud, Amazon EC2, Hadoop ? OLS Regression now has Artificial Neural Networks, Random Forests and other relatively exotic machine learning/data mining algos. for company Thoughts?

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  • Determine compile options from load module - IBM Enterprise COBOL

    - by NealB
    How can I determine the compile options used to compile an IBM Enterprise COBOL program by looking at the load module? When a dump is issued they are listed as follows: Compile Options for PROGXX: ADV, ARITH(COMPAT), AWO, NOCICS, CODEPAGE(01140), DATA(31), NODATEPROC, NODBCS, NODLL, NODYNAM, NOEXPORTALL, NOFASTSRT, INTDATE(LILIAN), NUMPROC(NOPFD), NOOPTIMIZE, OUTDD(SYSOUT), PGMNAME(COMPAT), RENT, RMODE(AN NOSQL, SQLCCSID, SSRANGE, NOTEST, NOTHREAD, TRUNC(OPT), XMLPARSE(XMLSS), YEARWINDOW(1900), ZWB so I presume they must be tucked away somewhere in the load module. I want to scan a load library checking that each load was compiled with some specific options to ensure compliance to shop standard (eg. SSRANGE). Any ideas would be appreciated.

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  • Setting up a non-emacs Common Lisp Dev Env for web application development?

    - by Ravi S
    I am trying to set up a Common Lisp Dev Env for web application development on my Ubuntu 10.04 LTS 64-bit box and I can't find a single decent guide that is targeted at noobs. The closest I came is with Peter Seibel's Lisp in a box but I detest Emacs with a passion and it seems to have older versions of SBCL and CLISP (which are my preferred CL implementations). I do not want to use any of the commercial implementations. I am looking for a simple setup to write some very basic CRUD apps involving possibly hunchentoot, some framework like weblocks,CL-WHO, CL-SQl, sqlite or some datastores from the nosql family like mongo and couch.. Assuming, I go with either SBCL or CLISP on Linux, what is the best tool to manage packages and libraries? ASDF? I am looking for simplicity and consistency and I don't expect to use a ton of libs...

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  • Designing DAL in .NET to be "data-source independent" and not just "database independent" ?

    - by Munish Goyal
    How to design such flexible DAL (specifically in .NET) ? What interfaces .NET provides and what should be done on my own ? Its a greenfield project starting with SQL Server as data source but in future, parts of it will move to different NoSQL type of datastores. Also, we may need to experiment with lot of different datastores (like some data may have to go with Cassandra, some with RDBMS, some to other DHT etc.) Therefore easily switchable access layer will be needed. All i know right now is the 'data' and 'operations needed on that data'.

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  • What is a good DBMS for archiving?

    - by Thomas.Winsnes
    I've been stuck in a MsSql/MySql world now for a few years, and I've decided to spread my wings a little further. At the moment I'm researching which DBMS is good at things needed when archiving data. Eg. lots of writes and low reads. I've seen the NoSQL crusade, but I have a very RDBMS mindset, so I'm a bit skeptical. Anyone have any suggestions? Or even any pointers to where there are some benchmarks etc for this kind of stuff. Thank you :) Thomas

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  • Database structure for storing Bank-like accounts and transactions

    - by user1241320
    We're in the process of adding a bank-like sub-system to our own shop. We already have customers, so each will be given a sort of account and transactions of some kind will be possible (adding to the account or subtracting from it). So we at least need the account entity, the transaction one and operations will then have to recalculate overall balances. How would you structure your database to handle this? Is there any standard bank system have to use that I could mock? By the way, we're on mysql but will also look at some nosql solution for performance boost.

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  • What are alternatives to standard ORM in a data access layer?

    - by swampsjohn
    We're all familiar with basic ORM with relational databases: an object corresponds to a row and an attribute in that object to a column (or some slight variation), though many ORMs add a lot of bells and whistles. I'm wondering what other alternatives there are (besides raw access to the database or whatever you're working with). Alternatives that just work with relational databases would be great, but ones that could encapsulate multiple types of backends besides just SQL (such as flat files, RSS, NoSQL, etc.) would be even better. I'm more interested in ideas rather than specific implantations and what languages/platforms they work with, but please link to anything you think is interesting.

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  • What are the differences between enterprise software/architecture patterns and open source software?

    - by Jeffrey
    I am mainly a business app developer and I hear terms like CQRS, ServiceBus, SOA, DDD, BDD, AOP a lot. My question is that do these patterns/practices exist only in the "enterprise" world? In contract to the enterprise world is the open source community. Highly trafficked sites like Digg, LiveJournal whenever there is an article mentioning about how they built/scaled their sites all I am hearing is what open source software (Memcached, NoSQL) they used in order to scale/simplify the way they tackle software problems and they rarely mention those above terms. Is it because they are not as sophisticated as those of enterprise level software (I doubt it)? Or are people just making up those terms/practices/patterns in order to keep them jobs? Or am I confusing myself with differences between software development and internet website scaling?

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  • Composite Primary and Cardinality

    - by srini.venigalla
    I have some questions on Composite Primary Keys and the cardinality of the columns. I searched the web, but did not find any definitive answer, so I am trying again. The questions are: Context: Large (50M - 500M rows) OLAP Prep tables, not NOSQL, not Columnar. MySQL and DB2 1) Does the order of keys in a PK matter? 2) If the cardinality of the columns varies heavily, which should be used first. For example, if I have CLIENT/CAMPAIGN/PROGRAM where CLIENT is highly cardinal, CAMPAIGN is moderate, PROGRAM is almost like a bitmap index, what order is the best? 3) What order is the best for Join, if there is a Where clause and when there is no Where Clause (for views) Thanks in advance.

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  • I know the big picture but can't put it in place

    - by Simbilim
    Hi, I'm interested in web development and by that I mean the bigger projects like facebook or twitter. I know the basics of java, css, php and mysql. I know there is a lot more out there. I read about it. But I don't know what the purpose is and how to put in place. Things like: Scribe, thrift, casandra, Unix/Linux, shell/perl/python scripting, PostgreSQL, MongoDB, non-relational NoSQL datastores, JVM, nginx I want to know why they need it, how they use it and what te purpose is. What I need is a book like technical background of facebook for dummies or so. Are there any books or websites that explain this from scratch? Thank you!

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  • FlockDB - What is it? And best cases for it uses.

    - by Guru
    Just came across FlockDB graph database. Details at github /flockDB. Twitter claims it uses FlockDB for the following: Twitter runs FlockDB on a large cluster of machines. we use it to store social graphs (who follows whom, who blocks whom) and secondary indices at twitter. At first glance, setup and trying it doesn't look straight forward. Have anyone already used it / setup this? If so, please answer the following general queries. What kind of applications is it better suited for? (Twitter claims it is simple and very rough, it remains to see what it meant though) How is FlockDB better than other graph db / noSQL db. Have you setup FlockDB, used it for a application? Early advices any? Note: I am evaluating the FlockDB and other graph databases mainly for learning them. Perhaps, I will build an application for that.

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  • What are good alternatives to SQL (the language)?

    - by Brendan Long
    I occasionally hear things about how SQL sucks and it's not a good language, but I never really hear much about alternatives to it. So, are other good languages that serve the same purpose (database access) and what makes them better than SQL? Are there any good databases that use this alternative language? EDIT: I'm familiar with SQL and use it all the time. I don't have a problem with it, I'm just interested in any alternatives that might exist, and why people like them better. I'm also not looking for alternative kinds of databases (the NoSQL movement), just different ways of accessing databases.

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  • Looking for a good course/book/resource on modern databases

    - by spanky
    This is slightly embarrassing. I'm a professional developer working at one of the big tech companies and I've never used a database. I've got an idea for a website I want to build as a learning experience and possibly as a business, but I don't have the faintest idea what database to use, let alone how to fix/debug the database when I run into problems. I'm looking for a course, a website, a book, etc., that will give me an overview of modern database technology (SQL vs. NOSQL vs. relational vs. non-relational (I only have a vague idea what these even mean)). I'm starting by googling/wikipediaing all of these terms, but if there are better, comprehensive resources available that I should be aware of, I'd love to hear about them.

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  • The Business case for Big Data

    - by jasonw
    The Business Case for Big Data Part 1 What's the Big Deal Okay, so a new buzz word is emerging. It's gone beyond just a buzzword now, and I think it is going to change the landscape of retail, financial services, healthcare....everything. Let me spend a moment to talk about what i'm going to talk about. Massive amounts of data are being collected every second, more than ever imaginable, and the size of this data is more than can be practically managed by today’s current strategies and technologies. There is a revolution at hand centering on this groundswell of data and it will change how we execute our businesses through greater efficiencies, new revenue discovery and even enable innovation. It is the revolution of Big Data. This is more than just a new buzzword is being tossed around technology circles.This blog series for Big Data will explain this new wave of technology and provide a roadmap for businesses to take advantage of this growing trend. Cases for Big Data There is a growing list of use cases for big data. We naturally think of Marketing as the low hanging fruit. Many projects look to analyze twitter feeds to find new ways to do marketing. I think of a great example from a TED speech that I recently saw on data visualization from Facebook from my masters studies at University of Virginia. We can see when the most likely time for breaks-ups occurs by looking at status changes and updates on users Walls. This is the intersection of Big Data, Analytics and traditional structured data. Ted Video Marketers can use this to sell more stuff. I really like the following piece on looking at twitter feeds to measure mood. The following company was bought by a hedge fund. They could predict how the S&P was going to do within three days at an 85% accuracy. Link to the article Here we see a convergence of predictive analytics and Big Data. So, we'll look at a lot of these business cases and start talking about what this means for the business. It's more than just finding ways to use Hadoop + NoSql and we'll talk about that too. How do I start in Big Data? That's what is coming next post.

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  • Learn Cloud Computing – It’s Time

    - by Ben Griswold
    Last week, I gave an in-house presentation on cloud computing.  I walked through an overview of cloud computing – characteristics (on demand, elastic, fully managed by provider), why are we interested (virtualization, distributed computing, increased access to high-speed internet, weak economy), various types (public, private, virtual private cloud) and services models (IaaS, PaaS, SaaS.)  Though numerous providers have emerged in the cloud computing space, the presentation focused on Amazon, Google and Microsoft offerings and provided an overview of their platforms, costs, data tier technologies, management and security.  One of the biggest talking points was why developers should consider the cloud as part of their deployment strategy: You only have to pay for what you consume You will be well-positioned for one time event provisioning You will reap the benefits of automated growth and scalable technologies For the record: having deployed dozens of applications on various platforms over the years, pricing tends to be the biggest customer concern.  Yes, scalability is a customer consideration, too, but it comes in distant second.  Boy do I hope you’re still reading… You may be thinking, “Cloud computing is well and good and it sounds catchy, but should I bother?  After all, it’s just another technology bundle which I’m supposed to ramp up on because it’s the latest thing, right?”  Well, my clients used to be 100% reliant upon me to find adequate hosting for them.  Now I find they are often aware of cloud services and some come to me with the “possibility” that deploying to the cloud is the best solution for them.  It’s like the patient who walks into the doctor’s office with their diagnosis and treatment already in mind thanks to the handful of Internet searches they performed earlier that day.  You know what?  The customer may be correct about the cloud. It may be a perfect fit for their app.  But maybe not…  I don’t think there’s a need to learn about every technical thing under the sun, but if you are responsible for identifying hosting solutions for your customers, it is time to get up to speed on cloud computing and the various offerings (if you haven’t already.)  Here are a few references to get you going: DZone Refcardz #82 Getting Started with Cloud Computing by Daniel Rubio Wikipedia Cloud Computing – What is it? Amazon Machine Images (AMI) Google App Engine SDK Azure SDK EC2 Spot Pricing Google App Engine Team Blog Amazon EC2 Team Blog Microsoft Azure Team Blog Amazon EC2 – Cost Calculator Google App Engine – Cost and Billing Resources Microsoft Azure – Cost Calculator Larry Ellison has stated that cloud computing has been defined as "everything that we currently do" and that it will have no effect except to "change the wording on some of our ads" Oracle launches worldwide cloud-computing tour NoSQL Movement  

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