mountainss Cloud and Datacenter Management Blog

Microsoft SystemCenter blogsite about virtualization on-premises and Cloud


Leave a comment

#Microsoft Azure Log Analytics Query Playground Available #MSOMS #Azure #Analytics #HybridCloud

Azure Log Analytics

You can access Log Analytics through the OMS portal or the Azure portal which run in any browser and provide you with access to configuration settings and multiple tools to analyze and act on collected data. From the portal you can leverage log searches where you construct queries to analyze collected data, dashboards which you can customize with graphical views of your most valuable searches, and solutions which provide additional functionality and analysis tools.

If you have no current monitoring in place for your Azure environment, you should start with Azure Monitor which collects and analyzes monitoring data for your Azure resources. Log Analytics can collect data from Azure Monitor to correlate it with other data and provide additional analysis.
If you want to monitor your on-premises environment or you have existing monitoring using services such as Azure Monitor or System Center Operations Manager, then Log Analytics can add significant value. It can collect data directly from your agents and also from these other tools into a single repository. Analysis tools in Log Analytics such as log searches, views, and solutions work against all collected data providing you with centralized analysis of your entire environment.

Microsoft Azure log analytics is very powerful for Hybrid IT management and getting you in control of your Hybrid Cloud Datacenter(s).

Select Data by type

You can change the chart here

Computers sending Heartbeat with date and time

Here you can export to Excel, PowerBI or Share the Query

Set your Query in a Time range

Here you find Online documentation and Query Reference guide

Start Today with Azure Log Analytics !

To play free with Microsoft Azure Log Analytics and Query on all the solutions there is a Demo environment available.

More links for Microsoft Azure Log Analytics :

Azure Log Analytics Query Language

Azure Log Analytics Query Examples

Azure Log Analytics website

Azure Log Analytics tech Docs Online

Microsoft Azure Management Blog

Microsoft Operations Management Suit (OMS) Blog

Social Media :

Microsoft Azure on Twitter

Microsoft OMS on Facebook #MSOMS

Get started with the Microsoft Azure Log Analytics Query Language today to get you and your Business in Control with innovative Hybrid IT Management.

 

 

Advertisements


Leave a comment

JOIN the NEW Community Group #Containers in the #Cloud #Azure #Docker #Kubernetes #DCOS #Linux

Today I Started a Community group called Containers in the Cloud on LinkedIn

Join and Help the community with Containers for Applications in the Cloud or on Every Infrastructure.
Share your Container knowledge with the community and Education.

Hope to see you there as a free member to build an Awesome virtual Community and it’s all about Containers 😉


Leave a comment

#Microsoft Azure #DataScience VM (DSVM) on Windows Server 2016 in the #Cloud #Azure #DSVM

The Microsoft Data Science Virtual Machine (DSVM) is a powerful data science development environment that enables you to perform various data exploration and modeling tasks. The environment comes already built and bundled with several popular data analytics tools that make it easy to get started quickly with your analysis for On-premises, Cloud or hybrid deployments. The DSVM works closely with many Azure services and is able to read and process data that is already stored on Azure, in Azure SQL Data Warehouse, Azure Data Lake, Azure Storage, or in Azure Cosmos DB. It can also leverage other analytics tools such as Azure Machine Learning and Azure Data Factory.

You can Choose which OS you Like.

The ‘Data Science Virtual Machine (DSVM)’ is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development.

Highlights:

Tools for ML model operationalization as web services in the cloud, using Azure ML or Microsoft R Server.

Creating the Azure DSVM with Windows Server 2016

I use this Azure DSVM for testing and I will enable Auto-Shutdown Scheduler
(to save money)

The following software is by default installed in the Azure DSVM :

My Azure Data Science Virtual Machine in the Cloud 😉

From here you can configure your Data Management Gateway.

Microsoft Data Management Gateway connects on-premises data sources to cloud services for consumption. With Microsoft cloud services, such as Power BI for Office 365 and Azure Data Factory you get benefits including fast deployment, low maintenance cost, and flexible billing model while keeping your enterprise data on-premises. With Data Management Gateway, you can connect on-premises data to cloud services in a secure and managed way, to respond more quickly to changing business needs with a flexible, hybrid cloud platform. You can benefit from Microsoft cloud services while you keep your business running with the on-premises data.

More information about the Data Management Gateway :

Microsoft Data Management Gateway Overview

Running Azure Data Science VM

Portal Overview of the Azure DSVM

From the Microsoft Azure Portal you can add Resource Extensions to your Azure Data Science VM.

From here you can add the following Extensions :

Here you can find more Technical information about Microsoft Azure Data Science Virtual Machine :

Introduction to the cloud-based Data Science Virtual Machine for Linux and Windows

Azure Data Science Virtual Machine on GitHub

Microsoft Azure Data Science Virtual Machine forum

Follow the #DSVM on Twitter

Microsoft Professional Program Certificate in Data Science