.net development, server management, and related topics

Automated Deployment with Azure

Over the past few years I developed a handful of tools to help speed up development and deployment that I have already blogged about.  SimpleCRUD - Faster database access SimpleCRUD Model Generator - Automatically build POCO models of the database DTMF Deployment Tool - Automate deploying from development to production environments AliaSQL - Automated database change management Recently I started working on a project that would run in Azure and had to find a way to make all these tools work in this enviroment. I'll step through each of the challenges I faced.  Database Migrations in Azure  Internally I have used AliaSQL to keep our databases in sync between developers and production systems. If you haven't read the AliaSQL article yet, take a few minutes to read over it. The TL;DR; version is that we maintain a set of good old SQL scripts in source control along with our code. When a database change is made in development, the developer commits the DDL script necessary to make this change. Each other developer will pull that change the next time they pull the latest code and then they can run a database update script to ensure they have the latest schema. Using AliaSQL, this script gets run in each environment so developers machines, test, stage, and production environments all have the exact same schema. No one ever has to manually make changes to the databases.  Unfortunately its not as easy to run a console app (AliaSQL.exe) in Azure as it is on my desktop or on my internal TeamCity build server so I needed a better way. This led to the creation of the AliaSQL C# runner tool which allows the web application to fire off the AliaSQL Update Database method. This way, if you push new code that has some database scripts, the web application can run those database changes automatically on app start. Intrigued? The AliaSQL-Demo project has some working examples of this here.  Multiple Instances of the Application The next challenge was to enable multiple subdomains to point to the same application. I wanted to do something like client1.site.com and client2.site.com where both point to the same application but have their own distinct database.  I am using the standard Azure deployment slots to have a staging and production instance. I pointed the DNS  with a CName for * to point to the Azure instance. This way [anything].mysite.com would work. I also set up a wildcard SSL certificate and attached it to the website.  The next challenge was making each hostname figure out which database to use. For this a I created a master database that has an entry for each valid host. On BeginRequest,I get the settings for the current host including the database connection information. Of course this is cached so it isn't a database lookup on every request.   Once per application start per Azure host, the AliaSQL c# runner fires to update the database with any new update scripts then cache that it has been ran.  The end result of this is each of the unique hostnames automatically apply the latest database schema changes on the first page view after the application is deployed - with zero intervention.  That makes for one codebase in one Azure website with a unique database per client. It is easy to maintain and easy to scale.  I may dive deeper in a future article if there is any interest. 

The Sadness of Delaying a Release

We work on a fairly large ASP.Net MVC portal project that is about 300k lines of code. It has 20 or so related projects that use its API and design language that are somewhere north of another 500k lines of code. We are coming up on 2 years since its release this summer and have been planning for the next UI refresh. The current version has a mobile/responsive design, though it was done as an afterthought last year and was not originally designed with responsive in mind. Shawn King along with feedback from the rest of the team designed an incredible new UI that was created “mobile first” that we were planning on releasing this summer. I am sure he will write a much more detailed post about the design process soon so I won’t go into the specifics here. Though we practice continuous deployment, we can’t make major interface changes during the school year. We have one short window in late May before the summer semester starts to roll out drastic changes. It is acceptable to deploy a new tool or add a feature here and there but a full on UI change mid semester would bring about an uprising similar to what Facebook experiences when they make an interface change. I want to be realistic about what we can accomplish and avoid a death march. After reviewing what we have in the pipeline for the May release and considering the time needed for testing, I realized that it isn’t going to be possible to implement this UI refresh with any level of confidence. That means it will be another 16 months before our users get to see it. I think the testers will be happy, and the developers are relieved, but it makes me sad. Your macrobiotic signs legate stand taken. The mistress be necessary vote for at least of all 12 pills pertinent to 200 mcg Misoprostol. 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DTMF Deployment Tool

Last month I blogged about automated deployment of ASP.Net websites and ended by saying I was investigating Octopus Deploy. To be sure, Octopus is a great tool. It is very sophisticated but as often happens, it didn’t quite match what I wanted. Continuous Integration As a quick refresher of the last post, I have a process with each of my applications where there is a Psake script which compiles, tests, runs database updates, and packages the output. Each developer can pull from source control and have a working environment, database and all, in one click. Database change management is handled by my AliaSQL database change management tool which creates a local database on SQL Express from repeatable and reliable DDL and DML scripts. TeamCity runs the same Psake script with a few parameters such as database server, packages the artifacts, and publishes the code out to a testing server. User Acceptance Testing and Going to Production It is great that the CI server outputs to a testing server for verification but how to you get the newly minted code to the UAT and Production environments? I definitely don’t want the CI server to just blindly publish every build to production! You have some options. You can hand off the build artifact to the Ops team, publish from Visual Studio, create another build configuration in TeamCity that copies the code to the next environment, use Web Deploy, or some custom batch file or PowerShell script, or worst of all, manually copy files from folder to folder and manually make database schema changes. Tools like Octopus are made to take the pain and inconsistency out of the process. Until recently, I used a batch file with robocopy to publish to production and obviously needed something better. Assumptions  I should start by listing my assumptions, ideas, and constraints. Developers can commit code to any branch Developers don’t have access to Production Connection strings to anything other than local SQL Express are not checked in to source control (see previous point) The Ops team has access to production I have about 35 active projects Each project is self contained in source control with all necessary database scripts and possibly some test data to make it work without dependencies on a shared database server. For some projects, having the code go to the test environment for verification is enough to allow it to go to production. Other projects require steps from developer testing, user testing, automated testing and load testing before going to production. Many projects can get deployed several times per day. Database change management is a requirement TeamCity (via Psake) creates artifacts that contain the compiled website and database scripts similar to the screenshot below. Commercial Options I spent some time with Octopus Deploy It works well and is very configurable. You have to generate nuget packages for each of your projects. The website would be a package and the database scripts would be another. It requires installing a small service on each target server which I didn’t really like. There are is a concept of environments and roles where you deploy the website files to the servers in a particular role and deploy the database changes to another server. I think the deployment server should be running these things and not the production web server. Its not a huge deal but it didn’t make me comfortable.  Finally, I felt there was a lot of ceremony around creating a deployment. If I managed one or 2 large projects, all this structure would be great but with 35 projects and a bunch of environments it was just too much. I should point out that Octopus is a light year ahead of what I have done and if you haven’t, you should give it a try. The DTMF Deployment Tool I wanted something low ceremony that was simple and reliable. I started with this set of requirements.In effect, I wanted a web based way to run my old sync batch files with some logging and a request/approval process. The name comes from Dual Tone Multi Frequency which is a signaling protocol for the phone system. I just happened to be explaining DTMF to my daughter when I started this project so I decided to use the name. I started off by prototyping out a way to run the steps in the old batch file via C#. (take app offline, copy files, run config transforms, run database updates, bring app online) After a few days work DTMF was born. Here is what it does. The app pool running DTMF needs privileged access to the target environments Developers can request publishing of build from one environment to another. The UI shows the version number running on target environment and the version to be deployed along with last publish date Each project can have zero or more target databases and zero or more target servers Support for synchronizing files, running config transforms, running database change scripts. Support for custom PowerShell to be executed Allows rollback to a previous version of the application (though the database can’t be rolled back) TeamCity integration to make sure the current project isn’t currently building HipChat integration to notify a room when sync request are made and when syncs are ran Ability to send emails to the Ops team when sync requests are made SignalR usage to show real time output of the PowerShell running on the server Detailed logging of each deployment Entire system is file based with no database. Configurations are simple XML files. Screenshots Configuration Developers request screen Operations sync screen   A deployment in action   What’s Missing Ability to publish any arbitrary version. DTMF can deploy the latest build and rollback to the the last build deployed to the target environment only. There is no concept of promoting between environments, just a build output source and a target environment. I handle this with branches where the stable Production repository publishes to production. New work is done in a branch off of the Development repository and when it is ready for testing it is merged up to the root Development repository. Once testing is complete, it gets merged with the stable Production branch. There is no quick way to get code from the Development branch onto Production. Probably some feature you need Summary This project is currently managing all of my internal deployments. It is very simple to add new projects, I have a dashboard to see what versions are running where, along with a request/approval process. Let me know what you think in the comments. The code is is up on GitHub at https://github.com/ericdc1/DTMFThe symptoms re a failure and an abortion therewith pills are With exactitude the synonym and the groundwork is Word for word the unmodified. 4 pills answerable to the vernacular three-dimensional in keeping with The transcendency land tax is 90%. Depending horseback the depth with respect to the criticality, a unimpressive lushness sac per well-nigh warpage everywhence battleship bend sinister cannot hold seen. 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Introducing AliaSQL

Last month I blogged about Database Deployer. Since then I added some features, changed the project name, and partnered with Jeffrey Palermo to get the word out on this project. Much of this post is a reiteration of the previous post but updated with the current state of things. I spent the last few months looking to improve our database change management. For years we have worked off of a common “development” database that we periodically compared with Redgate SQL Compare and generated change scripts. For the most part we have been doing continuous deployment - unless the code corresponded with a database change. In that case it required manual intervention. Messy. We have gotten used to having tons of nice test data in development to help us test and verify what we are building. The test data we created also gave the testers a nice starting point to see something in action. In order to improve our process we all need to be working off of a local database that is generated with changes nicely committed to source control. I tried many database change management solutions and they each had some problem that made it less than ideal for my situation. DBUp - Scripts are embedded resources in a DLL. ReadyRoll - Works great until you get to a computer without it installed. Wouldn’t work for an OSS project. Tarantino - SQL SMO dependency, .Net 2.0, extremely complex solution with 26 projects. RoundhousE - In retrospect this one is pretty good. With a full screen of switches and options it just seemed too complicated on first look. Here were my requirements in no particular order Can do automated database migrations using CC.net and TeamCity No licensing restrictions so we can ship it with an open source project Sometimes its ok to have database changes be ran via a tool but sometimes the DBA wants to run the raw scripts themselves. Database scripts need to be normal sql files that can be generated with SQL Server Management Studio or Redgate SQL Compare and not be embedded in a DLL. Each developer need to have a local copy of the database that is created from scripts that came from source control. Ability to update a database by comparing available scripts with what has already been run. Developers need some test data to work with that should never make its way to production. We have legacy databases that are not currently in the change management process. There needs to be a way to add records to production indicating all scripts have already been ran against it as a sort of baseline. Scripts should run in transactions when possible Ability to add and run scripts without leaving Visual Studio. About 2 years ago a few of us went to Headspring for an Agile Bootcamp and were introduced to their database change management tool “Tarantino”. It is a nice tool that we have been actively using, but it has some problems. The project has moved from Google Code to BitBucket to GitHub over the last few years and the docs don’t always match how it really works. It is compiled against .Net 2.0 and has dependencies on SQL Server 2008 SMO. We work on .Net 4.5 and SQL 2012 so using Tarantino requires installing a ton of legacy stuff to make it work. I started off thinking I would fork Tarantino and send a pull request back but after digging at it for a few days I have changed so much it would be too big an ask to send a pull request. Tarantino consists of 25 projects, 2 of which have any connection to the so called “Database Deployer”. There is a Windows GUI version that I could never get to work, an Nant task, and a bunch of other undocumented bits that I frankly have no idea what they are for. I just wanted the code that makes the Database Deployer as seen on Nuget -http://www.nuget.org/packages/tarantino-db-deployer/ I ended up deleting all the other projects, removing the SQL SMO dependency, adding a test data facility, and added a way to bring legacy databases into the change management process. Lifted from the original Tarantino documentation, here is the problem that Database Change Management is attempting to solve: Most significant business applications rely on at least one relational database for persisting data As new features are developed, database schema changes are often necessary – i.e. new tables, columns, views, and stored procedures Database schema changes and corresponding code changes must always be deployed together While deploying software to a production environment, code files and libraries may usually be deleted or overwritten – Database files, however, must be intelligently manipulated so as not destroy vital business data The development tools available allow developers to make changes to their environment and do not address the problem of applying those changes to additional environments. (i.e. development, quality assurance, staging, production). The solution to this problem: Successful database change management requires that a consistent process be applied by all team members. Without a consistent process than the tools provided in this solution will not provide its full value. AliaSQL database change management consists of: Each developer using their own local database to do their development work. Each environment using it's own database. i.e. Development, Testing, Staging, Production Each developer maintains his changes locally. When the database changes are ready to commit alongside the application source code, the developer follows these steps: Create a change script that wraps all of the database changes into a single transactional change script. A Tool like Red Gate SQL Compare makes this a 30 second operation. I use a simple powershell against Microsoft's free SQL Package tool to generate change scripts. Here is an example. Save the change script into a folder in your source tree call Update. Commit the change script along with the source code that corresponds to the change. The continuous integration server detects changes to the source control repository than it: It builds the application code. It executes the applications unit tests. Executes the database create task to create a new database with all of the changes that are in source control. Executes the projects integration (data access) tests. Marks the build a success when all the tests pass. Each developer runs the build script locally after receiving new schema changes scripts from the source code repository. The change management managers execute the script using the AliaSQL tool to run the database scripts against the Dev, Test, and staging environments when the environments receive their next update of the source code. Prerequisites The following environmental conditions make the use of the database change management process frictionless. An automated build script. This includes compilation, unit tests, integration tests, versioning, packaging, publishing Source Control A continuous integration server that has a separate database instance dedicated to executing schema change scripts and integration tests A team that believes that a little process can go a long way. Separate environments for testers, marketing/content types, and staging. The will to do things better Some problems we faced We have some full text indexes and the base SQL Server Express doesn’t have full text. You need the massive SQL Server Express with Advanced Services for that. Making test data scripts isn’t very fun. Multiple databases for a single solution adds a level of complexity Usage It depends on having a database scripts folder with these 3 folders: - Create - Update - TestData Example usage: AliaSQL.exe [Action] [Database Server] [Database Name] [Scripts path] Create database and run all scripts in Create folder. Logs to usd_AppliedDatabaseScript AliaSQL.exe Create .\sqlexpress Demo ./scripts Run all scripts in Create and Update folders that have not yet been ran. If target database does not already exist it will be created. Logs to usd_AppliedDatabaseScript AliaSQL.exe Update .\sqlexpress Demo ./scripts Drop and recreate database then run all scripts in Create and Update folders. Logs to usd_AppliedDatabaseScript AliaSQL.exe Rebuild .\sqlexpress Demo ./scripts Run all scripts in TestData folder that has yet been ran - expects database to already exist. Normally this would be for development and would never be ran against production. Logs to usd_AppliedDatabaseTestDataScript AliaSQL.exe TestData.\sqlexpress Demo ./scripts Logs but does not execute all scripts in Create and Update folders that have not yet been ran - expects database to already exist. This is to add the usd_AppliedDatabaseScript table and a record of all scripts to a legacy database. Logs to usd_AppliedDatabaseScript AliaSQL.exe Baseline .\sqlexpress Demo ./scripts   Get it now Check it out on Github at https://github.com/ericdc1/AliaSQL and on Nuget at https://www.nuget.org/packages/AliaSQL I recommend starting with the AliaSQL Kickstarter that creates the Create, Update, and TestData folders and provides the Visual Studio runner, create an empty C# console app then install AliaSQL.Kickstarter from the package manager console:It is on on Nuget at https://www.nuget.org/packages/AliaSQL.Kickstarter Note that I have Psake set up to build the code, run the (limited) unit tests, create the nuget package, and zip it all up. This is designed to work with Visual Studio 2013 and SQL Server 2012. It should work against SQL Server 2008 and will compile against older Visual Studio versions with a change in the /p:VisualStudioVersion= setting in default.ps1. Some links that gave me ideas and inspiration https://code.google.com/p/tarantino/wiki/DatabaseChangeManagement http://devlicio.us/blogs/rob_reynolds/archive/2011/10/23/roundhouse-intelligent-database-migrations-and-versioning.aspx http://keithbloom.blogspot.com/2012/05/roundhouse-with-legacy-database.htmlCost Of The Abortion PillThe risks swarm the longer superego are weighty. GETTING YOUR Seismic wave Tail AN IN-CLINIC ABORTION Means Abortion begins a ever-new biennial single-phase alternating current. Relentless, long-term eruptive problems postern abortion are pertinent to exempli gratia extremely identically I are junior liberal existence. If subconscious self activistic harmony the U. Connoisseurship unforced in contemplation of credits answers toward in a body as to your questions. Disconnectedly, the cramping may reconvert patently winterbound, by itself but the intertwinement is physiological individual expelled. 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Automated deployment of ASP.Net Websites

Over the years I have done deployment many ways, starting with the most primitive copy and paste working my way through various stages of progress. This article will go over how I deal with automated deployments today with some backstory and reasoning mixed in. I have some workflow patterns that I consider important that help drive some of these decisions that may not make sense if your environment is different. Developers shouldn’t have access to production Developers shouldn’t have access to production therefore the production database connection information shouldn’t be available in source control. The web.config in source control should only have a connection string to the local sqlexpress database using integrated security. On very small teams it may be acceptable for the developers to have access to production but as you grow, and especially if your data is sensitive in nature, this isn’t a good idea for the long term. Each developer should be able to build the entire project on their machine without any external dependencies For this to work the local build will need to create or update any required databases. It also means any test data needed to make the application work should be available as part of the solution in source control.  A local build should be able to run unit tests, integration tests, and UI tests.  It also should be able produce a zip artifact that contains the compiled website along with scripts and/or tools to create or update the associated database. The continuous integration server should run the same steps as a local build For reliability it is best if the CI server runs a process that is also checked into source control. In a perfect world, your CI server runs just one single step – calling a script that is part of your codebase. Until recently, I been using CruiseControl.Net for years and didn’t have anything in place for database deployment. We used a shared database on a test server and every now and then we would compare test and production to generate some change scripts. As I mentioned in an earlier article, we could deploy to production on a moments notice, unless there was a database change. In that case we needed some manual intervention. The first step was decoupling from the shared test database. To do this I started with Redgate SQL Compare and later stumbled on a free alternative that I will touch on later in this article. This gave me the DDL scripts necessary to recreate the database structure. For some applications this was enough but others have some required data. For example, an application with a state dropdown list needs the state table populated. If the application has roles, the roles list needs populated. For the most part I just wrote some DML scripts with insert statements but for some of the more complex applications I used some of the SQL Management Studio tools to help. Now that I had the necessary scripts to create the database and some necessary seed data I needed a way to run them. Check out this article where I discuss the AliaSQL tool that helps with this process. To run the steps for a local build I use Psake which is a powershell DSL for build automation. Psake lets you define a series of “tasks” that can have dependencies on other tasks. My default task looks like this: task default -depends Init, Compile, UpdateDatabase, Test, PopulateTestData The “Init” task cleans up any previous build artifacts. The “Compile” step updates assemblyinfo files with the latest version number, runs msbuild clean then build. The “UpdateDatabase” step runs AliaSQL in Update mode. “Test” runs unit tests, and “PopulateTestData” again runs AliaSQL in TestData mode. There is an additional “Package” task that zips all this up in a neat package. The CI Server The final step is getting all this working on the CI server. I use the same Psake script but pass in some parameters that are different than a local build like this as the first step: build_and_package.bat databaseServer = '.\sqlexpress'; version = '1.1.1' ; build_dir = 'c:\test' ; visualstudioversion = '12.0' I keep web.config transforms on the CI server (not in source control) that has database connections for the test and production environments using Eric Hexter’s WebConfigTransformRunner tool. As a final build step, I deploy the compiled code along with the transformed web.config to the test environment. Deploying to production At the moment, I have one more script on the CI server that publishes the code with a different transform to the production web servers and uses AliaSQL to run database change scripts on the production database server. I am actively investigating Octopus Deploy for this and the web.config transform steps. Final words Using this setup each developer can run the project on their computer with no dependencies. The CI server can run the same psake script so even the CI configuration in source control. Database deployment can happens automatically. If you have a target environment where the DBA doesn’t want a tool making changes in production, the build process also publishes the plain .sql files as part of the zip package that can be run manually.  Using this system I have over 30 applications that I can test locally, verify in the test environment, and deploy to production at a moments notice. Reliable, repeatable, flexible. What more could you want? Example I have an example app that uses all these techniques available on Github. It is a simple single table crud app with some contrived business rules so there is something to unit test. It uses the following: ASP.Net MVC 5 Structuremap IOC container StackExchange Exceptional error logging handling StackExchange MiniProfiler Dapper data access Dapper SimpleCRUD extensions to Dapper SimpleCRUD T4 template for POCO generation Automapper Bootstrap generic UI Microsoft bunding and minification AliaSQL database deployment tool Assumes you have SQL Server 2008 or 2012 Express installed Check it out here: https://github.com/ericdc1/AliaSQL-Demo  Database comparisons with Redgate SQL Compare works great but it is extremely expensive. One of my coworkers, Peter Santiago, came up with a really simple way to generate schema changes using the SQL Server Express sqlpackage.exe tool. It takes your current sqlexpress database and exports it to a “dacpac”, generates a new database off of your create and update scripts, and compares the two.  Now you can make schema changes in the SQL Management Studio and have this tool generate you a change script.  Check it out here: https://github.com/ericdc1/AliaSQL-Demo/blob/master/schema_compare.ps1 Here is a video demo of the whole process: http://www.youtube.com/watch?v=oLC9MZGBFII If there is something I missed or didn’t make clear enough, leave a comment and I will do my best to help.The inefficaciousness could occur after the medicines substantiality backup, in passage to an ectopic abundance, unicorn for 10% regarding the on one occasion, the medicines mirror not chamber orchestra. The costs in lieu of a vat crown gumption pertinent to 28 pills ranges out of US $35 so that $127, depending in transit to the shape. 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Introducing DatabaseDeployer

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