Clear Linux OS in Azure Marketplace, Failure Anomalies Alert for Dependency Failures

Clear Linux in Azure Marketplace is a testament for great experiences for Linux users in the hybrid cloud. Failure Anomalies now detects dependency failures with Application Insights. SQL Data Warehouse secondary indexes on column store available.

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Clear Linux OS, a free, open source Linux distribution built from the ground up for cloud and data center environments, is now available for Intel Architecture in Microsoft Azure Marketplace.

With this release, Azure becomes the first public cloud provider to offer Clear Linux, says Jose Miguel Parrella, product manager for Open Source.

Among the features of Clear Linux available in Azure Marketplace are: "a bare-bones virtual machine for those wanting to explore and build out a system with bundles of their choosing," "a container image that includes the popular Docker container runtime," and "a sample solution image for developing machine-learning applications."

In addition to the performance features, DevOps teams will benefit from the stateless capabilities of Clear Linux, as it separates system defaults and distribution best practices from user configuration to simplify maintenance and deployment.

Get started with Clear Linux in Azure, see this documentation on the Clear Linux site for more information.

Clear Linux OS in Azure Marketplace

Azure Machine Learning, generally available today in the West Central United States (WCUS) Azure region. With this, Azure ML is now available in these regions:

  • United States
  • East US2
  • South Central US
  • NEW: West Central US
  • Europe
  • West Europe
  • Germany Central
  • Asia Pacific
  • Japan East
  • Southeast Asia

In Azure SQL Data Warehouse, you can now create secondary B-Tree indexes on column store tables, with the same syntax as the generic Create Index Transact-SQL statements.

"Most analytic queries aggregate large amounts of data and are served well by scanning the column store segments directly. However, there is often a need to look for a "needle in a haystack," which translates to a query that does a lookup of a single row or a small range of rows. Such lookup queries can get an improvement in response time in orders of magnitude (even 1,000 times) and potentially run in sub-second if there is a B-Tree index on the filter column," the Azure team writes.

Microsoft has updated Smart Detection – Failure Anomalies in Azure Application Insights so that it monitors outgoing dependencies, AJAX calls, and incoming server requests.

This update makes the detection of failure anomalies a bit more reliable, as the "alert happens if the number of failure anomalies is outside of the normal margin." If the app has a certain amount of traffic and its number of failures sticks to a reliable pattern, "users won't be spammed with an alert every time something goes wrong."

Azure Application Insights Smart Detection Failure Anomalies Alert

By default, you get a shorter alert mail than this example, but you can switch to this detailed format by selecting "Get more diagnostics…" in Failure Anomalies rule settings:

Failure Anomalies alert in Azure Application Insights

Azure Service Bus Messaging, one of the most powerful message brokers with the deepest feature set available anywhere in public cloud infrastructure today. With now, Azure Service Bus broker infrastructure globally available in all Azure regions and Azure Government cloud, processes nearly 500 Billion message transactions per month.

Each cluster in these regions is backed by as many as hundreds of compute cores, Terabytes of memory, and Petabytes of backing storage capacity, far exceeding the cluster deployment scale of any commercial or open source broker you could acquire and run.