The Umbraco CMS platform give you the ability to create a content managed site with the familiar development process of ASP. NET MVC. If you are the only developer. Codecentric IDE, focused on your productivity. Full Java EE support, deep code understanding, best debugger, refactorings, everything right out of the box. Kilauea Mount Etna Mount Yasur Mount Nyiragongo and Nyamuragira Piton de la Fournaise Erta Ale. Intelligent crossplatform CC IDE for every C and C developer on Linux, macOS and Windows. An easytoread, quick reference for PHP best practices, accepted coding standards, and links to authoritative PHP tutorials around the Web. SupportedEnvironments.png?version=1&modificationDate=1244132363000&api=v2' alt='Teamcity Tutorial Pdf' title='Teamcity Tutorial Pdf' />What is CI Testing, Software Process Tutorial. What is Continuous Integration Continuous Integration CI is a development practice where developers integrate code into a shared repository frequently, preferably several times a day. Each integration can then be verified by an automated build and automated tests. While automated testing is not strictly part of CI it is typically implied. One of the key benefits of integrating regularly is that you can detect errors quickly and locate them more easily. As each change introduced is typically small, pinpointing the specific change that introduced a defect can be done quickly. In recent years CI has become a best practice for software development and is guided by a set of key principles. Among them are revision control, build automation and automated testing. Additionally, Continuous Deployment and Continuous Delivery have developed as best practices for keeping your application deployable at any point or even pushing your main codebase automatically into production whenever new changes are brought into it. Startup Tools Click Here 2. Lean LaunchPad Videos Click Here 3. FoundingRunning Startup Advice Click Here 4. Market Research Click Here 5. Life Science Click. Download and run ESET AV Remover. See below for a list of applications that can be removed using ESET AV Remover. Video tutorial. Click the appropriate link below to. Teamcity Tutorial Pdf' title='Teamcity Tutorial Pdf' />This allows your team to move fast while keeping high quality standards that can be checked automatically. Continuous Integration doesnt get rid of bugs, but it does make them dramatically easier to find and remove. Martin Fowler, Chief Scientist, Thought. Works. What is the difference between Continuous Integration, Continuous Deployment Continuous Delivery Continuous Integrationis the practice of integrating changes from different developers in the team into a mainline as early as possible, in best cases several times a day. This makes sure the code individual developers work on doesnt divert too much. When you combine the process with automated testing, continuous integration can enable your code to be dependable. Continuous Deploymentis closely related to Continuous Integration and refers to keeping your application deployable at any point or even automatically releasing to a test or production environment if the latest version passes all automated tests. Continuous Deliveryis the practice of keeping your codebase deployable at any point. Beyond making sure your application passes automated tests it has to have all the configuration necessary to push it into production. Many teams then do push changes that pass the automated tests into a test or production environment immediately to ensure a fast development loop. Image via Yassal Sundman SourceRead more on the topic Part 1 Beginners Guide to Continuous Integration. You should focus on setting up a simple Continuous Integration process as early as possible. But thats not where things should end. Even though Continuous Integration CI is important, its only the first step in the process. You also want to set up Continuous Deployment CD, the workflow that automates your software deployment and lets you focus on building your product. Continuous Integration CI vs Continuous Deployment CDAs we pointed out before, Continuous Deployment is closely related to Continuous Integration and refers to keeping your application deployable at any point or even automatically releasing into production if the latest version passes all automated tests. If you wish to release your product really fast, you should automate your entire workflow, not just the testing. Having a well designed and smoothly running Continuous Deployment CD solution will be the glue between the tools you use, especially between the SCM Source Control Management providerserver and the hosting environment you are using. This will also help you to onboard new people and grow your team as they can rely on a fully automated process from day one. Read more on the topic here Under the Hood at Thinkful Continuous Integration CI Rollout by Jason Blanchard. What is the best Continuous Integration Deployment tool or serviceHow do I choose between them There are many solutions out there. If you only want to get a list of tools, you can look at Codeship, Travis. CI, Semaphore. CI, Circle. CI, Jenkins, Bamboo, Teamcity or many others. You can also find many articles and discussions out there on the topic with valuable information like this one on Quora. There are almost endless opportunities out there. But then the question rises How to choose between theseYour pick will strongly depend on your requirements,on the techstack you have andon how you handle your daily workflow. As Codeship CEO Moritz Plassnig points out on Quora, it usually helps to raise a couple of simple questions first and answer them before picking any solution. This will help you determine which solution would be the best fit for you. Hosted vs non hosted solutions. One of the first decisions you have to make is whether you want a hosted Software as a Service Saa. S solution or a self hosted solution. If you prefer a self hosted solution you need to administer your own server. The Saa. S solution doesnt require this, but it might be more limiting in case you require some edge case features. If you happen to use Git. Hub, Bitbucket, Heroku, or other cloud services, then it is most likely that you want a Saa. S solution as it will fit your already existing workflow. If data security is very important, then a self hosted server might be a better choice for you. Saa. S solutions generally let you focus more on your core product as you dont have to spend time on maintaining your infrastructure and keeping all dependencies updated at the cost of some flexibility. Testing Open Source vs proprietary software. If you have open source projects, you can test them with either solution. Be it a hosted one or a non hosted one. Both of them have their pros and cons. As mentioned, a hosted Saa. S solution doesnt require maintenance of the servers on your side, which leaves more time for you to work code on your product. The vast majority of Saa. S solutions follow the Git. Hub model and you can test your open source projects free of charge. Some open source projects do require a lot of control over the build infrastructure though as they might be testing parts of an operating system not accessible in a hosted solution. In this case any of the existing open source CI servers should do a good job, although with added necessary maintenance overhead. Benefits and Advantages of Continuous Integration and Deployment. Continuous Integration has many benefits. A good CI setup speeds up your workflow and encourages the team to push every change without being afraid of breaking anything. There are more benefits to it than just working with a better software release process. Continuous Integration brings great business benefits as well. Reduces Risk. If you test and deploy code more frequently, it will eventually reduce the risk level of the project you are working on as you can detect bugs and code defects earlier. This means they are easier to fix and you can fix them sooner which makes it cheaper to fix them. This will speed up the feedback mechanism and make your communication much smoother, as mentioned in this article by Intercoms Darragh Curran Shipping is your companys heartbeat. Better Communication. When you have a CI process in place that is hooked into a Continuous Delivery workflow its easy to share your code regularly. This code sharing helps to achieve more visibility and collaboration between team members. Eventually this increases communication speed and efficiency within your organization as everybody is on the same page, always. Faster iterations. ADO. NET Data. Adapter. NET tutorial. This article was originally published in VSJ, which is now part of Developer Fusion. The ADO. NET Data. Adapter and serialisable Data. Table are the hinge pins of ADO. NETs disconnected architecture. These classes provide a way to expose one or more rowsets and a mechanism to update the data. This is a new mechanism for data access developers writing code for all application architectures. This article walks you through several data access strategies that take advantage of features implemented by the Data. Adapter. Note that the Data. Adapter is implemented by each of the. NET Data Providers included in the Windows. NET Framework. For example, in the Sql. Client. NET Data Provider, the Data. Adapter is implemented as the System. Data. Sql. Client. Sql. Data. Adapter. This article discusses the Data. Adapter in terms that apply to all of the Framework implementation. The Data. Adapter is not really a new idea born with ADO. F1 Challenge Bg 2008 there. NET. Its roots come not from Tao, but from the DOW the Data Object Wizard first introduced in Visual Basic 6. Visual Studio. NET. The DOW was used to generate a class that fetches a rowset and defines the UPDATE, DELETE and INSERT SQL needed to manage the rowset. Basically, the Visual Basic. NET Data. Adapter does the same thing. Unlike the Data Object Wizard, the Data. Adapter permits you to define both the input and action queries with a few more options. It also sports a facility to automatically generate the action queries but regrettably, only for home database challenges. One of the most significant differences between COM based ADO classic ADOc and ADO. NET is how updates are handled. In ADOc, action SQL was generated on the fly controlled by the Update Criteria and other properties. It did not require an extra round trip to generate this SQL, but it did require a bulkier SELECT FOR BROWSE to return schema information needed to construct these action commands. ADO. NET takes another approach it leaves the generation of the update commands up to the developer. This means that developers have far more flexibility in how updates are posted to the data. As well see later, this new flexibility means developers have to take on additional responsibilities once assumed by ADOc. Choosing between the Data. Adapter and the Data. Reader. When you first start working with the ADO. NET Data. Adapter, you might be puzzled as to how to best use it with existing data access architectures. Developers, yearning for better performance, often lean toward the low level Data. Reader approach rolling their own update code or using the Command methods to execute stored procedures which update the source tables. Theyre not convinced that the extra features exposed by the Data. Adapter and its associated Data. Set and Data. Table are worth the extra CPU cycles. Im not in that clique. I think its far easier to code the Data. Adapter and in most cases the loss in performance is easily outweighed by the ability to let ADO. NET handle many of the tedious and trouble prone tasks of connection management, query execution, rowset population, and Data. Table construction. In addition, once the Data. Table is created, the additional functionality exposed by its methods and properties further simplify and stabilise the code without further loss in the developers or the codes performance. Getting the best performance from the Data. Adapter. The disconnected architecture implemented by ADO. NET assumes that your code returns a set of rows to the client and posts changes to the in memory copy of the data. These changes are not reflected in the database until you submit a batch of updates using the Data. Adapter Update method. No, its not really a batch in the traditional sense, but thats what Microsoft chose to call it. What really happens is ADO. NET walks the set of rows passed to the Update method and executes either the Update. Command, Delete. Command or Insert. Command based on the rows Row. State value. Each execution requires a round trip. That said, I also think some developers lose sight of what makes a program perform and scale to its full potential. It does not help that all too many of the examples youll encounter suggest that you use the Data. Adapter to fetch all of the rows and columns from a database table and construct appropriate action queries to enable the Update method. While this approach is valid for toy databases, it flies in the face of the constraints of scalable, high performance, real world systems. If youre working with home databases or those in your office with only a few hundred rows, and you arent concerned with multi user issues and never plan to be, whether or not you fetch all of the rows from the table wont make much difference. However, in most business applications, especially those that have to scale up to support dozens to thousands of users and work with thousands to millions of rows, how you fetch and update the data is critical to a successful application. The role of the Command. Builder. One of the most respected product managers at Microsoft quipped that the Command. Builder should be renamed the Command. Dont. Use. Builder. I agree. The Command. Builder is a class used to construct the action SQL that changes the data specified in the Data. Adapter Select. Command. That is, the Command. Builder uses the Select. Command. Command. Text to query the database engine for additional schema information using the undocumented SET NOBROWSETABLE function or other mechanisms as dictated by the data provider. If you choose to use the Command. Builder, youll discover the SQL it generates is pretty crude. In that the approach it takes to concurrency management is very simplistic and inefficient and, more importantly, not functional in a variety of common situations not to mention the need for a costly additional round trip to the server. I show where the Command. Builder can and cannot be used in the subsequent discussion. Fetching Data with the Data. Adapter. There are several approaches to fetching data using the Data. Adapter only a few of the more common techniques are discussed here. Each of these techniques lends itself to addressing specific issues and data access challenges and opportunities for better performance. The following discussion illuminates these techniques and balances their advantages and challenges. Return a rowset generated by an SQL SELECT that references a single table, view or stored procedure. Return two or more rowsets generated by a batch SQL query containing more than one SELECT referencing one or more data tables or views. Return a rowset generated from a JOIN product that references several related tables. Return a rowset generated from a composite query. That is, the data is returned from more than one data source. On the surface, Data. Adapter fetch mechanics are really quite simple. To retrieve the data, set the Select. Command property with a. NET data provider Command object describing either the appropriate SELECT statement or stored procedure. Next, describe and specify the parameters and values needed to focus the querys WHERE clause and use the Fill method to execute the query. For example. da New Sql. Data. AdapterSELECT pubid, pubname,. FROM publishers WHERE. State. Wanted SELECT pubid,isbn, title,. FROM titles where pubid in. SELECT pubid from publishers WHERE state. State. Wanted, cn. Select. Command. Parameters. Add. State. Wanted, Sql.