Category Archives : Monitoring

25

Jun

Network Performance Monitor’s Service Connectivity Monitor is now generally available

Network Performance Monitor’s (NPM) Service Connectivity Monitor, previously in preview as Service Endpoint Monitor, is making general availability sporting a new name. With Service Connectivity Monitor, you can now monitor connectivity to services such as applications, URIs, VMs, and network devices, as well as determine what infrastructure is in the path and where network bottlenecks are occurring.

As services and users are becoming more dispersed across clouds, branch offices, and remote geographies, it is becoming more difficult to determine the cause of a service outage or performance degradation. These can be due to an issue with the application, stack, or cluster as well as network issues in the cloud, the carrier network, or in the first-mile. Service Connectivity Monitor integrates the monitoring and visualization of the performance of your internally hosted and cloud services with the end-to-end network performance. You can create connectivity tests from key points in your network to your services and identify whether the problem is due to the network or the application. With the network topology map, you can locate the links and interfaces experiencing high loss and latencies, helping you identify external and internal troublesome network segments.

Determine if it’s an application or a network

21

Jun

Cost Reporting ARM APIs across subscriptions for EA customers

Azure enterprise customers today manage their subscriptions on the EA portal and use the EA hierarchy to group and report on usage and costs by subscription. Until today, the only APIs available for the enterprise hierarchy was the key based APIs, this month we are releasing ARM supported APIs for the enrollment hierarchy. This will enable users with the required privileges to make API calls to the individual nodes in the management hierarchy and get the most current cost and usage information.

The benefits of this API is an improved security posture, seamless onboarding to the cost APIs and benefiting from the continued investment in planned work on the APM APIs, like budgets. Departments today support rudimentary spending limits, but in the coming weeks we will be supporting budgets, that were recently announced for subscriptions and resource groups on EA hierarchy nodes as well. The ARM APIs also standardize the pattern and enable AD based authentication.

Hierarchy Updates

As part of this release the ARM API introduces a few new terms:

Enrollments in the ARM APIs are Billing Accounts Departments continue on as Departments Accounts in the ARM APIs are referred to as Enrollment Accounts

This release of ARM APIs

21

Jun

Cost Reporting ARM APIs across subscriptions for EA customers

Azure enterprise customers today manage their subscriptions on the EA portal and use the EA hierarchy to group and report on usage and costs by subscription. Until today, the only APIs available for the enterprise hierarchy was the key based APIs, this month we are releasing ARM supported APIs for the enrollment hierarchy. This will enable users with the required privileges to make API calls to the individual nodes in the management hierarchy and get the most current cost and usage information.

The benefits of this API is an improved security posture, seamless onboarding to the cost APIs and benefiting from the continued investment in planned work on the APM APIs, like budgets. Departments today support rudimentary spending limits, but in the coming weeks we will be supporting budgets, that were recently announced for subscriptions and resource groups on EA hierarchy nodes as well. The ARM APIs also standardize the pattern and enable AD based authentication.

Hierarchy Updates

As part of this release the ARM API introduces a few new terms:

Enrollments in the ARM APIs are Billing Accounts Departments continue on as Departments Accounts in the ARM APIs are referred to as Enrollment Accounts

This release of ARM APIs

18

Jun

Azure Blockchain Workbench 1.1.0 extends capabilities and monitoring

Last month, we announced the public preview release of Azure Blockchain Workbench, which greatly accelerates blockchain application development. Since launch, we’ve seen a tremendous amount of engagement and enthusiasm from our customers and partners with thousands of different blockchain apps processing tens of thousands of transactions. The feedback has been great as well, and today we’re excited to announce the first major update to Workbench, which we’re calling version 1.1.0. As part of this release, we are making an upgrade script available which you can use to update your existing Workbench deployment. Of course, you can always get the latest version from Azure Portal directly if you want to do a new deployment.

This update includes the following improvements:

Multi workflow and contract support

You may have noticed that our Blockchain Workbench configuration documentation and Workbench API reference the ability to have multiple workflows within one application. Our initial release didn’t provide the UI to showcase more than one workflow per application, but we’ve now added this feature. With 1.1.0, you can now have multiple workflows for a single application show in the Workbench UI.

In addition to this UI update, we have published a new Bazaar Marketplace sample application

23

May

Control Azure Data Lake costs using Log Analytics to create service alerts

Azure Data Lake customers use the Data Lake Store and Data Lake Analytics to store and run complex analytics on massive amounts of data. However it is challenging to manage costs, keep up-to-date with activity in the accounts, and proactively know when usage thresholds are nearing certain limits. Using Log Analytics and Azure Data Lake we can address these challenges and know when the costs are increasing or when certain activities take place.

In this post, you will learn how to use Log Analytics with your Data Lake accounts to create alerts that can notify you of Data Lake activity events and when certain usage thresholds are reached. It is easy to get started!

Step 1: Connect Azure Data Lake and Log Analytics

Data Lake accounts can be configured to generate diagnostics logs, some of which are automatically generated (e.g. regular Data Lake operations such as reporting current usage, or whenever a job completes). Others are generated based on requests (e.g. when a new file is created, opened, or when a job is submitted). Both Data Lake Analytics and Data Lake Store can be configured to send these diagnostics logs to a Log Analytics account where we can query

27

Mar

Azure Monitor–General availability of multi-dimensional metrics APIs

In September of last year we announced the public preview of multi-dimensional metrics in Azure Monitor, Microsoft’s built-in platform monitoring service for Azure. Today we are pleased to announce the general availability of the APIs that support this capability. Now you can explore your Azure metrics through their dimensions and unlock deeper insights. Dimensions are name value pairs, or attributes, that can be used to further segment a metric. These additional attributes can help make exploring a metric more meaningful. Azure Monitor has also increased our metric retention period from 30 days to 93 days, so you can access data for longer, and do meaningful comparisons across months.

You can access and explore metrics, multi-dimensional and otherwise, via the following:

Metric Definitions and Metrics REST APIs, see this sample walkthrough. Azure Portal preview, see this sample walkthrough. Azure CLI commands. .NET SDK, try out these samples. Java SDK, try out these samples.

In the next few weeks we will also be adding support for multi-dimensional metrics in PowerShell.

In addition to using the above methods to access and explore your metrics, we also recently announced the general availability of the next generation of metric alerts, which allow you create alerts

26

Mar

Announcing Azure Service Health general availability – configure your alerts today

Today I am excited to announce the general availability (GA) of Azure Service Health, a personalized dashboard that provides guidance and support when issues in Azure services affect you. Unlike our public status page which provides general status information, Azure Service Health provides tailored information for your resources. It also helps you prepare for planned maintenance and other changes that could affect the availability of your resources. With Azure Service Health, you can easily configure alerts to ensure that your relevant teams are notified of service health events affecting their resources.

We launched the preview of Azure Service Health in July 2017. We have been evolving the service based on your feedback – including the integration of Service Health alerts. If you haven’t already, set up your Service Health alerts.

Watch this short video to see Azure Service Health in action:

From your personalized dashboard in Azure Service Health, you can view:

Service issues – ongoing issues in Azure services that are impacting your resources. Quickly understand when the issue began and what services, regions, and specific resources are impacted. Share a link referencing the issue with your team or download a PDF summary to share with people who

08

Mar

Join Microsoft at the Rice Oil and Gas HPC conference
Join Microsoft at the Rice Oil and Gas HPC conference

Energy exploration, production, and reservoir monitoring are leaders in the private sector for big data and compute-intensive applications. That’s why energy companies have always used high performance computing (HPC) to aid in oil and gas exploration. This decision by these energy companies has proven to help reduce costs, impact on the environment, and improve the fidelity of subsurface data.

We’ll be at the Rice Oil and Gas HPC conference in Houston, Texas on March 12-13, 2018. Here we will talk about Microsoft’s commitment to providing the resources that HPC users need. Curt Smith, Big Compute Engineering Development Manager, will be presenting a plenary session covering how oil and gas companies use Azure’s offerings to address HPC and machine learning workloads. Azure allows customers to integrate their data management, compute workloads, and leverage technologies such as machine learning, artificial intelligence, and blockchain.

We’ll also have a booth in the exhibition area where attendees can talk to Azure’s HPC experts. Our booth is co-sponsored by our partners at NVIDIA, who will be available to talk about the benefits of Azure’s GPU-powered offerings for compute, deep learning, and remote visualization. You can also learn about our exclusive partnership with Cray that enables customers

06

Mar

Visibility into network activity with Traffic Analytics – now in public preview

Today, we are announcing the public preview of Traffic Analytics, a cloud-based solution that provides visibility into user and application traffic on your cloud networks.

Traffic Analytics analyzes NSG Flow Logs across Azure regions and equips you with actionable information to optimize workload performance, secure applications and data, audit your organization’s network activity and stay compliant.

With Traffic Analytics, you now can:

Gain visibility into network activity across your cloud networks. Solution provides insights on: traffic flows across your networks between Azure and Internet, in Azure,  public cloud regions, VNETs and subnets. inter-relationships between critical business services and applications. applications and protocols on your network, without the need for sniffers or dedicated flow collector appliances. Secure your network; Identify threats on your network, such as: flows between your VMs and rogue networks. network ports open to the Internet. applications attempting Internet access. anomalous network traffic behavior (e.g. back-end servers attempting connectivity, to servers outside your network etc.) Improve performance of your applications by: capacity planning – eliminate issues of over-provisioning or under utilization by monitoring utilization trends of VPN gateways and other services. analyzing in-bound and out-bound flows. understanding application access patterns (e.g. Where are

05

Mar

New app usage monitoring capabilities in Application Insights

Our goal with Azure Monitoring tools is to provide full-stack monitoring for your applications. The top of this “stack” isn’t the client-side of your app, it’s your users themselves. Understanding user behavior is critical for making the right changes to your apps to drive the metrics your business cares about.

Recent improvements to the usage analytics tools in Application Insights can help your team better understand overall usage, dive deep into the impact of performance on customer experience, and give more visibility into user flows.

A faster, more insightful experience for Users, Sessions, and Events

Understanding application usage is critical to making smart investments with your development team. An application can be fast, reliable, and highly available, but if it doesn’t have many users, it’s not contributing value to your business.

The Users, Sessions, and Events tools in Application Insights make it easy to answer the most basic usage analytics question, “How much does my application and each of its features get used?”

We’ve re-built the Users, Sessions, and Events tools to make them even more responsive. A new sidebar of daily and monthly usage metrics help you spot growth and retention trends. Clicking on each metric gives you