New High-Memory MongoDB Instances Available on Microsoft Azure -- Visual Studio Magazine

MongoDB just won’t go away. Two weeks after a major update to the popular NoSQL database, Microsoft announced new high-memory instances were available on its Microsoft Azure cloud platform.

The cloud-served MongoDB instances come from MongoLab, a fully managed database service provider that works with major cloud platforms such as those provided by Amazon and Google. The service has been available on Microsoft Azure since October 2012, but with some limitations.

“We have been working with MongoLab for a long time to bring a fully managed Database as a Service offering for MongoDB to Microsoft Azure,” said Microsoft exec Scott Guthrie. “With full production support for all VM types across all datacenters, we are excited and optimistic for the future of MongoDB on our cloud platform.”

The details were explained in a blog post yesterday by Brian Benz, who announced “the arrival of our newest high-memory MongoDB database plans, with virtual machine choices that now provide up to 56GB of RAM per node with availability in all eight Microsoft Azure datacenters worldwide.”

Along with the new memory capacity, the service provides management tools for backups, performance monitoring of key metrics, analysis to speed up queries and index recommendations. Support is also provided via e-mail or an around-the-clock emergency hotline, depending on the plan.

Developers connect to the service using standard language-specific drivers or through a JSON-based REST API. JSON is the bedrock of MongoDB, which stores data in collections of JSON documents composed of fields with key-value pairs rather than relational tables and columns. This facilitates Big Data analytics, and the database is used by major organizations such as CERN, eBay, Craigslist, SAP and many others. The open source MongoDB database, which was developed by MongoDB Inc., is the most popular NoSQL system in use, according to the latest report from DB-Engines.com, which lists it as No. 5 among all databases.

On Microsoft Azure, MongoDB plans are available ranging from a free “sandbox” that includes 500MB of storage to a 56GB dedicated cluster that costs $5,200 per month.

Benz details how to set up a MongoLab service in a Microsoft Open Technologies blog post.

Are you planning to use MongoDB on Microsoft Azure? Please comment here or drop me a line.

#mongodb

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New High-Memory MongoDB Instances Available on Microsoft Azure -- Visual Studio Magazine

MongoDB just won’t go away. Two weeks after a major update to the popular NoSQL database, Microsoft announced new high-memory instances were available on its Microsoft Azure cloud platform.

The cloud-served MongoDB instances come from MongoLab, a fully managed database service provider that works with major cloud platforms such as those provided by Amazon and Google. The service has been available on Microsoft Azure since October 2012, but with some limitations.

“We have been working with MongoLab for a long time to bring a fully managed Database as a Service offering for MongoDB to Microsoft Azure,” said Microsoft exec Scott Guthrie. “With full production support for all VM types across all datacenters, we are excited and optimistic for the future of MongoDB on our cloud platform.”

The details were explained in a blog post yesterday by Brian Benz, who announced “the arrival of our newest high-memory MongoDB database plans, with virtual machine choices that now provide up to 56GB of RAM per node with availability in all eight Microsoft Azure datacenters worldwide.”

Along with the new memory capacity, the service provides management tools for backups, performance monitoring of key metrics, analysis to speed up queries and index recommendations. Support is also provided via e-mail or an around-the-clock emergency hotline, depending on the plan.

Developers connect to the service using standard language-specific drivers or through a JSON-based REST API. JSON is the bedrock of MongoDB, which stores data in collections of JSON documents composed of fields with key-value pairs rather than relational tables and columns. This facilitates Big Data analytics, and the database is used by major organizations such as CERN, eBay, Craigslist, SAP and many others. The open source MongoDB database, which was developed by MongoDB Inc., is the most popular NoSQL system in use, according to the latest report from DB-Engines.com, which lists it as No. 5 among all databases.

On Microsoft Azure, MongoDB plans are available ranging from a free “sandbox” that includes 500MB of storage to a 56GB dedicated cluster that costs $5,200 per month.

Benz details how to set up a MongoLab service in a Microsoft Open Technologies blog post.

Are you planning to use MongoDB on Microsoft Azure? Please comment here or drop me a line.

#mongodb

Writing U-SQL scripts using Visual Studio for Azure Data Lake Analytics

In the 2nd article of the series for Azure Data Lake Analytics, we will use Visual Studio for writing U-SQL scripts.

Introduction

Azure Data Lake stores the unstructured, structured, and semi-structured data in the Azure cloud infrastructure. You can use Azure portal, Azure Data Factory(ADF), Azure CLI, or various other tools. In the previous article, An overview of Azure Data Lake Analytics and U-SQL, we explored the Azure Data lake Analytics using the U-SQL script.

In this article, we will understand U-SQL scripts and executing them using Visual Studio.

U-SQL scripts execution in the Visual Studio

U-SQL is known as a big data query language, and it combines the syntax similar to t-SQL and the power of C## language. You can extract, transform data in the required format using the scripts. It has few predefined extractors for CSV, Text, TSV for extracting data from these formats. Similarly, it allows you to convert the output to your desired format. It offers big data processing from gigabyte to petabyte scale. You can combine data from Azure Data Lake Storage, Azure SQL DB Azure Blob Storage, Azure SQL Data Warehouse.

You can develop and execute the scripts locally using Visual Studio. Later, you can move your resources to the Azure cloud. This approach allows you to save the cost for Azure resources ( compute and storage) because in the Visual Studio, it does not cost you for the executions.

To use these scripts in the Visual Studio, you should have _the _Azure Data Lake and Stream Analytics Tools installed. You can navigate to Visual Studio installer -> Workloads-> Data Storage and processing -> Azure Data lake and Stream Analytics.

Launch the Visual Studio 2019 and create a new U-SQL project. You get a few other templates such as Class Library, Unit Test project and sample application as well. We will work with a project template that creates a project with your USQL scripts.

#azure #sql azure #visual studio #azure data lake analytics #visual studio #u-sql

Writing Visual Studio Extensions with Mads - Episode 1: Item Templates

Join Mads Kristensen from the Visual Studio team each week as he builds extensions for Visual Studio live!

#visual studio code #visual studio #code #microsoft #visual studio extensions

[Guest post] Learn C# with Visual Studio, Visual Studio for Mac, and Unity

UPDATE: The book giveaway challenge is complete. We will be announcing winners on the Visual Studio blog within the next week. Thank you for your submissions!

Visual Studio is an amazing development tool. But Visual Studio and Visual Studio for Mac are more than just intuitive, state-of-the-art development environments. They’re also remarkably powerful learning and exploration tools, with features to help you create and understand your code. I love teaching and learning about C## with Visual Studio. That’s why my co-author, Jenny Greene, and I put Visual Studio and Visual Studio for Mac right at the center of our latest book, _Head First C# _(4th edition), published by O’Reilly Media. _Head First C# _incorporates Visual Studio directly in the learning. combining Visual Studio with the unique and innovative “brain-friendly” Head First approach to teaching helps us make learning C## easier and more fun for our readers.

#visual studio #c# #unity #visual studio 2019 for mac #visual studio for mac

Visual Studio 2019 v16.7 Preview 2 Available Today!

C++ Updates

Visual Studio v16.7 Preview 2 delivers various improvements in the C++ space. Within the Connection Manager, you’re now able to edit remote SSH connections, e.g. if the IP address of your target system changes and needs to be updated. You’re also able to set default remote connections to be consumed via **${defaultRemoteMachineName} **in CMakeSettings.json and launch.vs.json.

When you edit a remote connection, Visual Studio will no longer need to recopy headers to Windows for a native IntelliSense experience. Likewise, setting default remote connections is useful for checking CMakeSettings.json and launch.vs.json into source control with no user or machine-specific information. These remote connections over SSH allow you to build and debug your C++ projects on a remote Linux system directly from Visual Studio.

C++ Add or Remove SSH Connections with Connection Manager

This release also brings enhanced IntelliSense support for Clang on Windows (clang-cl) in Visual Studio. The clang include path now includes the clang libraries, we’ve improved the display of in-editor squiggles (particularly when using the std library), and we’ve added support for C++2a is supported in clang mode.

The Preview release also contains four new code analysis rules to incorporate additional safety features into C++: C26817, C26818, C26819, and C26820. Please see the C++ Team Blog for more info.

In addition, new C++20 Standard Library features have been implemented. A detailed list is provided in the STL Changelog on GitHub.

.NET Productivity

Quick Info now displays the diagnostic ID along with a help link where you can easily navigate to our documentation to learn more about warnings and errors in your code.

Diagnostic ID with help links in .NET Productivity

Git Productivity

We continue to release more Git functionality in Visual Studio 2019. This time we focus on merge conflict resolution. We’ve revamped the Visual Studio merge editor by decoupling it from TFVC and focusing it on Git.

A new gold info bar at the top of a file will tell you when there are merge conflicts that need to be manually resolved. Clicking will take you to the merge editor, which now has more informative tiles and captions to help you distinguish between the conflicting branches. We’ve reduced the clutter around the zoom margin, health margin, and the toolbar. In addition, it is easier to parse conflicts with aligned matching lines, word level differences, and visible whitespace when it is the only difference. You can turn off non-conflicting differences to just focus on the conflicts. You can also resolve add/add conflicts at the file level now with a two-way merge. Finally, we have added a checkbox to resolve all conflicts on one side or the other with a single click.

Try the new features by toggling the Preview Feature for New Git user experience in Tools > Options.

Improved Git Functionality in Visual Studio 2019 under the Tools Menu

In other Git improvements, we will now close any open folders or solutions before starting a new clone operation, so that Visual Studio can open the newly cloned repo to help you get to your code faster. We’ve improved upon the commit text box, adding inline error checking. And we’ve added UI to help you more clearly understand what is happening when you initialize and push a repository to a remote host like GitHub or Azure Repos.

Local Process with Kubernetes

Local Process with Kubernetes allows you to write, test and debug your .NET code on your development workstation while connected to your Kubernetes cluster with the rest of your application or services. By connecting your development workstation to your cluster, you eliminate the need to manually run and configure dependent services on your development machine. Environment variables, connection strings and volumes from the cluster are available to your microservice code running locally.

For more information on Local Process with Kubernetes, we have detailed it out in our team blog.

#visual studio #announcement #visual studio 2019 #visual studio code