Author : All posts by ilikesql

03

Jan

Securing Azure customers from CPU vulnerability
Securing Azure customers from CPU vulnerability

An industry-wide, hardware-based security vulnerability was disclosed today. Keeping customers secure is always our top priority and we are taking active steps to ensure that no Azure customer is exposed to these vulnerabilities. At the time of this blog post, Microsoft has not received any information to indicate that these vulnerabilities have been used to attack Azure customers.

The majority of Azure infrastructure has already been updated to address this vulnerability. Some aspects of Azure are still being updated and require a reboot of customer VMs for the security update to take effect. Many of you have received notification in recent weeks of a planned maintenance on Azure and have already rebooted your VMs to apply the fix, and no further action by you is required.

With the public disclosure of the security vulnerability today, we are accelerating the planned maintenance timing and will begin automatically rebooting the remaining impacted VMs starting at 3:30pm PST on January 3, 2018. The self-service maintenance window that was available for some customers has now ended, in order to begin this accelerated update.

During this update, we will maintain our SLA commitments of Availability Sets, VM Scale Sets, and Cloud Services. This reduces impact

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03

Jan

Year in Review Contest: Jan. 3-Jan. 31
Year in Review Contest: Jan. 3-Jan. 31

https://powerbi.microsoft.com/en-us/blog/year-in-review-contest/Source: https://powerbi.microsoft.com/en-us/blog/year-in-review-contest/           Happy New Year! What better way to kick off 2018 than by entering this contest for a chance to win a fabulous prize? Read the full blog post for details and the link READ MORE

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03

Jan

Designing, building, and operating microservices on Azure
Designing, building, and operating microservices on Azure

I’m excited to announce that the AzureCAT patterns and practices team has published new guidance about microservices titled Designing, building, and operating microservices on Azure.

Microservices have become a popular architectural style for building cloud applications that are resilient, highly scalable, and able to evolve quickly. To be more than just a buzzword, however, microservices require a different approach to designing and building applications.

In this set of articles, we explore how to build and run a microservices architecture on Azure, using Kubernetes as a container orchestrator. Future articles will include Service Fabric. Topics include:

Using Domain Driven Design (DDD) to design a microservices architecture. Choosing the right Azure technologies for compute, storage, messaging, and other elements of the design. Understanding microservices design patterns. Designing for resiliency, scalability, and performance. Building a CI/CD pipeline.

Throughout, we focus on an end-to-end scenario for a drone delivery service that lets customers schedule packages to be picked up and delivered via drone. A reference implementation for this project is available on GitHub.

The reference implementation includes a number of different Azure and open source technologies:

Azure Container Service (Kubernetes) to run frontend and backend services. Azure Functions to run event driven services. Linkerd

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03

Jan

Build richer apps with your time series data
Build richer apps with your time series data

Today, we are pleased to announce the release of new TSI developer tools, including an Azure Resource Manager (ARM) template, API code samples, and easy-to-follow documentation for developers. TSI’s developer tools will shorten the time it takes to get started developing. Using these developer tools, customers can more easily embed TSI’s platform into custom applications to power charts/graphs, compare data from different points in time, and dynamically explore trends and correlations in their data.

As organizations transition their go-to-market and business models from selling devices to selling services, they are developing companion applications that provide operational insights and analytics to their customers.  Much of the data required to power these applications is time series, but large volumes of time series data can be very challenging to store and query. Time Series Insights (TSI) takes the burden of time series data management away from these organizations, and TSI’s platform capabilities enable developers to build applications that provide valuable insights to their customers.

Why time series data is difficult to embed in applications today

Time series data at IoT-scale can lead to high latency and long rendering times when querying traditional databases. Many customers have told us that it’s easy to hang

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03

Jan

Azure Data Lake tools integrates with VSCode Data Lake Explorer and Azure Account

If you are a data scientist and want to explore the data and understand what is being saved and what the hierarchy of the folder is, please try Data Lake Explorer in VSCode ADL Tools. If you are a developer and look for easier navigation inside the ADLS, please use Data Lake Explorer in VSCode ADL Tools. The VSCode Data Lake Explorer enhances your Azure login experiences, empowers you to manage your ADLA metadata in a tree like hierarchical way and enables easier file exploration for ADLS resources under your Azure subscriptions. You can also preview, delete, download, and upload files through contextual menu. With the integration of VSCode explorer, you can choose your preferred way to manage your U-SQL databases and your ADLS storage accounts in addition to the existing ADLA and ADLS commands.

If you have difficulties to login to Azure and look for simpler sign in processes, the Azure Data Lake Tools integration with VSCode Azure account enables auto sign in and greatly enhance the integration with Azure experiences. If you are an Azure multi-tenant user, the integration with Azure account unblocks you and empowers you to navigate your Azure subscription resources across tenants.

If your source

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03

Jan

Year in Review Contest: Jan. 3-Jan. 31
Year in Review Contest: Jan. 3-Jan. 31

https://powerbi.microsoft.com/en-us/blog/year-in-review-contest-jan-3-jan-31/Source: https://powerbi.microsoft.com/en-us/blog/year-in-review-contest-jan-3-jan-31/           Happy New Year! What better way to kick off 2018 than by entering this contest for a chance to win a fabulous prize? Read the full blog post for details and the link READ MORE

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03

Jan

Azure Analysis Services features on Azure Friday
Azure Analysis Services features on Azure Friday

Built on the proven analytics engine in Microsoft SQL Server Analysis Services, Azure Analysis Services delivers enterprise-grade BI semantic modeling capabilities with the scale, flexibility, and management benefits of the cloud. The success of any modern data-driven organization requires that information is available at the fingertips of every business user, not just IT professionals and data scientists, to guide their day-to-day decisions. Azure Analysis Services helps you transform complex data into actionable insights. Users in your organization can then connect to your data models using tools like Excel, Power BI, and many others to create reports and perform ad-hoc interactive analysis.

I joined Scott on Azure Friday to talk about some new features in Azure Analysis Services. Query scale out and diagnostic logging were announced at the SQL PASS Summit 2017 and both lend themselves particularly well to the cloud.

Query scale out for Azure Analysis Services allows client queries to be distributed among multiple query replicas in a query pool, reducing response times during high query workloads. You can also separate processing from the query pool, ensuring client queries are not adversely affected by processing operations. If you have ever set up scale out on premises, you might be

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03

Jan

Migration checklist when moving to Azure App Service
Migration checklist when moving to Azure App Service

I have been continuously getting requests from customers, colleagues and partners around what to consider when migrating applications to Azure PaaS service but more specifically to the App Service.

This post tries to cover the majority of those cases and aims to provide a checklist and ready reckoner for customers/partners intending to migrate their existing applications to Azure App Service.

To start, let’s have a look at various considerations before you consider migrating your applications to Azure App Service

Port Bindings – Azure App Service support port 80 for http and port 443 for HTTPS traffic. If you have sites using any other port after migration to Azure App Service, do remember that these are the only ports that will be used. Usage of assemblies in the GAC (Global Assembly Cache)- This is not supported. Consider bin placing the assemblies in the local bin. IIS5 Compatibility Mode– IIS5 Compatibility Mode is not supported. In Azure App Service each Web App and all the applications under it run in the same worker process with a specific set of application pool settings. IIS7+ Schema Compliance– One or more elements and/or attributes are being used which are not defined in Azure App Service

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02

Jan

Azure #CosmosDB: Recap of 2017
Azure #CosmosDB: Recap of 2017

It was a pretty amazing year for Azure Cosmos DB, highlighted by the launch of the service, the preview and general availability of Graph, Table APIs, MongoDB API, native Spark connector and many other awesome capabilities. There were breakthroughs in making our SLAs truly industry-leading, adding native integration with Azure Functions and launching Try Cosmos DB for free to empower anyone to experience and play with our service without having an Azure account or having to specify a credit card. Below is a look back at 2017 and some of the memorable milestones.

The Launch of Azure Cosmos DB

In May, we were super excited to announce the general availability of Azure Cosmos DB – Microsoft’s globally distributed, massively scalable, multi-model database service. It is the first globally-distributed data service that lets you elastically scale throughput and store across any number of geographical regions while guaranteeing low latency, high availability and consistency. While also backed by the most comprehensive SLAs in the industry. It is the first cloud database to natively support a multitude of data models and popular query APIs. It is built on a novel database engine capable of ingesting sustained volumes of data and provides blazing

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02

Jan

Last week in Azure: Azure HDInsight, Azure Cosmos DB, and more

Welcome to 2018! This edition of Last Week in Azure covers the final two weeks of 2017. Just before everyone disappeared for the holiday break here in Redmond, the news focused on Azure HDInsight.

Azure HDInsight

We lowered prices and raised capabilities for Azure HDInsight. Some capabilities of HDInsight, such as Apache Kafka and Azure Log Analytics integration, reached general availability, and the Enterprise Security Package released in Preview. You can also learn about how Xbox uses HDInsight to spelunk through a mountain of gaming data, and then check out how Fast SQL query processing in HDInsight performs at scale against industry standard TPCDS benchmarks.

You can get all of the details in the following Azure HDInsight posts:

Azure HDInsight announcements: Significant price reduction and amazing new capabilities Announcing Apache Kafka for Azure HDInsight general availability Azure HDInsight Integration with Azure Log Analytics is now generally available Xbox – Analytics on petabytes of gaming data with Azure HDInsight Enterprise Security Package preview for Azure HDInsight Azure HDInsight Performance Benchmarking: Interactive Query, Spark and Presto Data

New connectors available in Azure Data Factory V2 – A list of over 25 new data connectors to enable copying data from additional data stores

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