Azure Method Review

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7 Binary Options

As a dynamic industry, the online financial trading industry is constantly undergoing market innovations. For example in the last 2 years, it has been flooded with numerous automated trading systems that claim to simplify the entire trading process while increasing the profitability of traders. But with so many trading systems inundating the market, it has made the task of verifying the so-called claims of these trading systems practically impossible for beginner traders.

As such we have taken upon ourselves the task of verifying the legitimacy of this automated trading software to help prevent our readers from being scammed by fake systems. For this review, we will try to verify some of the things that the Azure method claims to be able to do for its users. So can the Azure method truly provide traders with the best trading opportunities or it is just marketing hype? Read our in-depth review to find out.

Basic information:

Cost: Free
Software: 100% Automated
Max Returns: Up to 90%
Minimum Deposit: $200
Countries: All nations

  • Free software
  • Reasonable winning ratio
  • No conclusive evidence of the workability of the Azure method
  • Having to sign up with an unregulated broker
  • Lack of technical details
  • No Technical Support provided
  • Fake Testimonials

7BO Verdict:

Not Reliable Service

What is Azure Method?

The Azure method is actually said to be an automated binary options trading system that was developed by an individual by the name of Anthony Azure. While the system claims a reasonably high success rate of 65% to 85%, actual details on the system remain fact quite sketchy. The promotional video about the Azure method fails to provide any detailed information on how the trading system actually works.

In addition, our research on the internet yielded virtually no information about the developer leading us to believe that Anthony Azure is just a figment of someone’s imagination.


How Does It Work?

As mentioned earlier, the Azure method is a fully automated binary options trading system which takes over the task of trading the markets from the trader. All that the trader has to do is to sit back and watch the profits rolling in. The Azure method also claims to be able to help beginner traders shorten their learning curve. With a reasonably high winning rate of an average of 70%, this means traders should, in fact, be able to win 7 trades out of 10 trades made. All a trader has to do in order to gain access to this software is to complete a few simple steps such as:

  1. Visit their website
  2. Enter all the requested details in the form provided on the website
  3. Once directed to the account creation page, set up a trading account
  4. Deposit the minimum initial deposit required to open an account

Once you have completed the 4 steps above, you will be linked to a binary options broker recommended by the trading system. And after you have been linked to the recommended broker, you will be able to start trading immediately with the Azure method.

Take note that although the Azure method claims a success rate of an average of 70%, the developer had not provided any conclusive trading data to support that claim. Instead, what we found was numerous fake testimonials using stock pictures extolling the trading benefits of the Azure method.

Final Conclusion

While everything about the Azure method seems straightforward initially, upon closer inspection, we noted that the software has actually been portrayed in a misleading manner. First of all, the testimonials provided on their website uses stock images leading us to think that all the testimonials are probably fake as well.

Second of all, although the developer claims to provide technical support for his trading system, the live chat feature on the website is not manned by any technical support staff.

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All these red flags lead us to conclude that the Azure method is nothing more than a scam designed to get unsuspecting traders to sign up with an unregulated broker. As such, we highly recommend that our readers stay away from the Azure method.

What are Azure AD access reviews?

Azure Active Directory (Azure AD) access reviews enable organizations to efficiently manage group memberships, access to enterprise applications, and role assignments. User’s access can be reviewed on a regular basis to make sure only the right people have continued access.

Here’s a video that provides a quick overview of access reviews:

Why are access reviews important?

Azure AD enables you to collaborate internally within your organization and with users from external organizations, such as partners. Users can join groups, invite guests, connect to cloud apps, and work remotely from their work or personal devices. The convenience of leveraging the power of self-service has led to a need for better access management capabilities.

  • As new employees join, how do you ensure they have the right access to be productive?
  • As people move teams or leave the company, how do you ensure their old access is removed, especially when it involves guests?
  • Excessive access rights can lead to audit findings and compromises as they indicate a lack of control over access.
  • You have to proactively engage with resource owners to ensure they regularly review who has access to their resources.

When to use access reviews?

  • Too many users in privileged roles: It’s a good idea to check how many users have administrative access, how many of them are Global Administrators, and if there are any invited guests or partners that have not been removed after being assigned to do an administrative task. You can recertify the role assignment users in Azure AD roles such as Global Administrators, or Azure resources roles such as User Access Administrator in the Azure AD Privileged Identity Management (PIM) experience.
  • When automation is infeasible: You can create rules for dynamic membership on security groups or Office 365 Groups, but what if the HR data is not in Azure AD or if users still need access after leaving the group to train their replacement? You can then create a review on that group to ensure those who still need access should have continued access.
  • When a group is used for a new purpose: If you have a group that is going to be synced to Azure AD, or if you plan to enable the application Salesforce for everyone in the Sales team group, it would be useful to ask the group owner to review the group membership prior to the group being used in a different risk content.
  • Business critical data access: for certain resources, it might be required to ask people outside of IT to regularly sign out and give a justification on why they need access for auditing purposes.
  • To maintain a policy’s exception list: In an ideal world, all users would follow the access policies to secure access to your organization’s resources. However, sometimes there are business cases that require you to make exceptions. As the IT admin, you can manage this task, avoid oversight of policy exceptions, and provide auditors with proof that these exceptions are reviewed regularly.
  • Ask group owners to confirm they still need guests in their groups: Employee access might be automated with some on premises IAM, but not invited guests. If a group gives guests access to business sensitive content, then it’s the group owner’s responsibility to confirm the guests still have a legitimate business need for access.
  • Have reviews recur periodically: You can set up recurring access reviews of users at set frequencies such as weekly, monthly, quarterly or annually, and the reviewers will be notified at the start of each review. Reviewers can approve or deny access with a friendly interface and with the help of smart recommendations.

Where do you create reviews?

Depending on what you want to review, you will create your access review in Azure AD access reviews, Azure AD enterprise apps (in preview), or Azure AD PIM.

Access rights of users Reviewers can be Review created in Reviewer experience
Security group members
Office group members
Specified reviewers
Group owners Self-review
Azure AD access reviews
Azure AD groups
Access panel
Assigned to a connected app Specified reviewers
Azure AD access reviews
Azure AD enterprise apps (in preview)
Access panel
Azure AD role Specified reviewers
Azure AD PIM Azure portal
Azure resource role Specified reviewers
Azure AD PIM Azure portal

Create access reviews

To create an access reviews, follow these steps:

Go to the Azure portal to manage access reviews and sign in as a Global administrator or User administrator.

Search for and select Azure Active Directory.

Select Identity Governance.

On the Getting started page, click the Create an access review button.

Learn about access reviews

To learn more about creating and performing access reviews, watch this short demo:

If you are ready to deploy access reviews in your organization, follow these steps in the video to onboard, train your administrators, and create your first access review!

License requirements

Using this feature requires an Azure AD Premium P2 license. To find the right license for your requirements, seeВ Comparing generally available features of the Free, Basic, and Premium editions.

How many licenses must you have?

Ensure that your directory has at least as many Azure AD Premium P2 licenses as you have employees that will be performing the following tasks:

  • Member and guest users who are assigned as reviewers
  • Member and guest users who perform a self-review
  • Group owners who perform an access review
  • Application owners who perform an access review

Azure AD Premium P2 licenses are not required for the following tasks:

  • No licenses are required for the users with the Global Administrator or User Administrator roles that set up access reviews, configure settings, or apply the decisions from the reviews.

For each paid Azure AD Premium P2 license that you assign to one of your own organization’s users, you can use Azure AD business-to-business (B2B) to invite up to five guest users under the External User Allowance. These guest users can also use Azure AD Premium P2 features. For more information, see Azure AD B2B collaboration licensing guidance.

Example license scenarios

Here are some example license scenarios to help you determine the number of licenses you must have.

Azure IoT Central

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Provide public dashboards

A nice feature for IoT Central in my point of view would be the option to share telemetry and status dashboards with a public audience.

In my scenario I’d like to share e.g. the dashboard from the applications home page to an audience in my organization where I don’t want to give each user individual access to my application.

This would also be a nice feature because it would enable me to embed the dashboards into individual built applications aside to IoT Central which use the data collected by IoT Central.

Thank you for taking the time to submit feedback. The functionality you’ve requested is something that we’re currently considering. We’ll follow up once we have more updates.

Please provide advanced rules settings

Please provide more options for setting up rules e.g. on telemetry data.

In my case I wanted to set up a rule when a condition lasts over a certain timeframe. I haven’t found a way to do this with IoT Centrals rules management.

Another pain point I noticed was when I set up a rule with a threshold that should send me an e-mail when the rule is triggered, my mail account was spammed with many mails for historical occurences of the trigger. So it would be helpful to have an option whether a rule should be triggered on historical data or not.

Please provide more options for setting up rules e.g. on telemetry data.

In my case I wanted to set up a rule when a condition lasts over a certain timeframe. I haven’t found a way to do this with IoT Centrals rules management.

Another pain point I noticed was when I set up a rule with a threshold that should send me an e-mail when the rule is triggered, my mail account was spammed with many mails for historical occurences of the trigger. So it would be helpful to have an option whether a rule should be triggered on historical… Больше

We are adding support for Aggregate functions and Time windowing in Rules that will enable monitoring telemetry over a certain timeframe before alerting.

I will update the thread once the feature is available to try out.

Mobile apps for Azure IoT Central

I want to view/operate our devices by our phone.

Thanks for taking the time to provide us with feedback. We’re currently investigating mobile offering. We’ll provide updates as we learn more.

Luis on behalf of the Azure IoT Central team

support objects in JSON payload

Nested objects and arrays.

Use case: When the device acts as a protocol translator for another network, example BLE and the payloads are identical but from a different address.

Here is a simplified example:

We have added support for the complex objects with the latest preview update of Azure IoT Central. We also have array support on the roadmap and will share more details as they become available.

Please note that these features are in preview and we are listening to the feedback to further refine them.

Trigger event based on offline devices

So what would be great is if there was some way to detect when devices haven’t “reported in” within a specific time span to be alerted to offline devices. I haven’t found a way to do it but I may be missing something.

Thank you for taking time to submit the feedback. We are considering this functionality and will follow up once we have further updates.

View raw telemetry data sent by the device without any aggregation

What I’d like to do is display the data in the storage of IoT Central by displaying the defaults other than the maximum, minimum, average, and count.

For example, it is difficult to deal with situations where two data are added when one of the two data is an integer value and the other is a decimal value.

We are currently evaluating displaying raw telemetry without any aggregation and will share an update as we formalize our plan.

Main dashboard should support device sets and multiple devices

Currently I can’t put a map on the main dashboard with more than one device on it. I would like to have a way to add a map to the main dashboard that show multiple devices based on some kind of rule.

Example: I want to see a map of devices that report a temperature above 50.

Thank you for the feedback! We are currently evaluating Dashoboard improvements and will share an update here as soon as we have finalized our plans. Stay tuned and please keep the feedback coming!

Save Analytics

Be able to save configuration for Analytics search.
It is very tedious every time we want to look for certain devices we have to complete Device Set, Filter and Time Period. If you can name and save these you will be able to get these results at a click of a button (and hopefully add them to your dashboards). At the moment we have to go through this process of completing the search many time a day which is wasting a lot of time.

Thanks for the feedback! We are considering the suggesstion and will provide an update here as soon as we have more information to share.

Import and export templates

Could we have the feature to import/export device templates

For example: save template as json/yml -> go to different app import from json/yml file

Or alternatively have the ability to link to a repository where templates can be edited and released onto the application.

Thanks for taking the time to submit feedback. I understand how frustrating it might be to have to re-create an app template from scratch. We currently support an App Copy feature that enables you to create a replica of an app, except the devices/rules associated with it. We’re also exploring surfacing capabilities to import/export templates, we’ll update here when we have more info to share.

Luis on behalf of the Azure IoT Central team

Dashboard with multiple devices, group by “tag or property”

Nice if I was able to group different devices (models) in a single view.
For example:
By store, I have 3 refrigerators, one coffee machine, and one couponing station

Thanks for taking the time to provide us with feedback. We’ll consider this as we plan our future investments. We’ll post updates here as we learn more.

Luis on behalf of the Azure IoT Central team

Allow to send C2D messages from function and UI

Currently there is no clear way of sending a C2D message(direct method or messages) to the devices configured through the IoT-central

The users should be able to send a C2D to a particular device, once a workflow process is complete after a Function is triggered from an Alert on IoT-central.

We are exploring APIs to enable sending C2D messages without using the UI.

Today a workaround is by using Microsoft Flow to build your workflow and updating a property/setting of a specific device through the IoT Central connector.

Show last known value for lists of devices on the dashboard

We’d like the main dashboard to have the ability to show a list of last known values for all our devices (of a particular device type is fine). Adding individual last known value widgets, one by one, is not practical as it’s not data driven and you will soon run out of screen real estate once you’re past about 20 devices.

We thought the ‘device set grid’ would do this for us but bizarrely it only shows things that don’t change often for us like settings and properties.

Thank you for the feedback. We are working on understanding the customer needs for more granular tiles in the dashboards, so your request is very timely. I cannot provide any timelines at this time, but we’ll post an update here once we have a better idea of the improvements we’ll make to the dashboard tiles.

Virtual State and Event

Allow adding state and event fields to the model, even if these don’t originate from the device. When a rule occurs on any telemetry field an action set the desired value into these virtual fields.

Example: When Temperature > 80 Deg, Set the Virtual Event vTemperatureEvent = IntoAlarm and the vTemperatureState = “Alarm”
When the temperature drops back to 65, vTemperatureEvent = OutOfAlarm and vTemperatureState = Normal

Thanks for taking the time to provide us with feedback. This is great feedback and we’ll consider this as we build our feature roadmap. We’ll provide updates here once we make any determinations.

Luis on behalf of the Azure IoT Central team

Save measurements selection for future navigation

If I leave the “Measurements” view and return, I lost the selected fields and settings. It reverts to the first 4 elements in the payload always in average.

It is clear this view is fluid and dynamic, but nice if it was able to remember where I left it.

Thanks for taking the time to provide us with feedback. I understand that the lack of state can be frustrating. We’re actively working to enhance this experience, so stay tuned for updates.

Luis on behalf of the Azure IoT Central team

PowerApps – get device telemetry data via connector

Would be nice getting telemetry data in PowerApps.
We already can get device name and some other features via connector like this: “AzureIoTCentral.DevicesGet(“—myapplicationID—“,”—my-device-ID—“).name”

The formula editor offers additional actions but actual data can’t be retrieved. E.g. this formula returns with an empty table:
If I try adding telemetry field name at the end of formula, I get error message: This identifier not recognized.

Can you please add this functionality to IoT Central connector?

Allow for connection string creation via the web UI

Right now I need to use another tool – dps-keygen – and provide it with Primary key, Device id and Scope id to generate a device connection string ; it would be great if I could generate and access it without downloading node.js

Support measurements, events and states to formulate a device set conditions

The current implementation only supports adding properties to the conditions for Device-Sets.
We recommend to Support
Last Known Values, Event, and State in the query predicate.

Thanks for taking the time to provide us with feedback. We’ll take this into consideration as we plan feature roadmaps. We’ll post updates here as we determine next steps.

Luis on behalf of the Azure IoT Central team

Show DeviceConnectedState as a property for devices

(if this suggestion already exists, please disregard)
For device sets and any device view, show the DeviceConectedState.

Support rules and actions with this property.
3 use cases:
1) As an operator, I want to get an email when any device connects, I would like to see the total number of device connected
2) As an operator, I want to get a notification when any NEW device connects and nice if I was able to render a KPI for provisioning velocity
3) As an operator, I want to get a notification after ‘n’ minutes of device inactivity or disconnection (debounce the reconnect)

(if this suggestion already exists, please disregard)
For device sets and any device view, show the DeviceConectedState.

Support rules and actions with this property.
3 use cases:
1) As an operator, I want to get an email when any device connects, I would like to see the total number of device connected
2) As an operator, I want to get a notification when any NEW device connects and nice if I was able to render a KPI for provisioning velocity
3) As an operator, I want to get a notification after ‘n’ minutes of device inactivity or disconnection (debounce the… Больше

Azure Method Review

Azure SDK for Go

azure-sdk-for-go provides Go packages for managing and using Azure services. It officially supports the last two major releases of Go. Older versions of Go will be kept running in CI until they no longer work due to changes in any of the SDK’s external dependencies. The CHANGELOG will be updated when a version of Go is removed from CI.

To be notified about updates and changes, subscribe to the Azure update feed.

Users may prefer to jump right in to our samples repo at

Questions and feedback? Chat with us in the #Azure SDK channel on the Gophers Slack. Sign up here first if necessary.

Most packages in the SDK are generated from Azure API specs using Azure/autorest.go and Azure/autorest. These generated packages depend on the HTTP client implemented at Azure/go-autorest.

The SDK codebase adheres to semantic versioning and thus avoids breaking changes other than at major (x.0.0) releases. Because Azure’s APIs are updated frequently, we release a new major version at the end of each month with a full changelog. For more details and background see SDK Update Practices.

To more reliably manage dependencies like the Azure SDK in your applications we recommend golang/dep.

Packages that are still in public preview can be found under the ./services/preview directory. Please be aware that since these packages are in preview they are subject to change, including breaking changes outside of a major semver bump.

Other Azure Go Packages

Azure provides several other packages for using services from Go, listed below. If a package you need isn’t available please open an issue and let us know.

Service Import Path/Repo
Storage – Blobs
Storage – Files
Storage – Queues
Service Bus
Event Hubs
Application Insights

Install and Use:

and you should also make sure to include the minimum version of go-autorest that is specified in Gopkg.toml file.

Or if you use dep, within your repo run:

If you need to install Go, follow the official instructions.

For many more scenarios and examples see Azure-Samples/azure-sdk-for-go-samples.

Apply the following general steps to use packages in this repo. For more on authentication and the Authorizer interface see the next section.

  1. Import a package from the services directory.
  2. Create and authenticate a client with a New*Client func, e.g. c := compute.NewVirtualMachinesClient(. ) .
  3. Invoke API methods using the client, e.g. res, err := c.CreateOrUpdate(. ) .
  4. Handle responses and errors.

For example, to create a new virtual network (substitute your own values for strings in angle brackets):

Typical SDK operations must be authenticated and authorized. The Authorizer interface allows use of any auth style in requests, such as inserting an OAuth2 Authorization header and bearer token received from Azure AD.

The SDK itself provides a simple way to get an authorizer which first checks for OAuth client credentials in environment variables and then falls back to Azure’s Managed Service Identity when available, e.g. when on an Azure VM. The following snippet from the previous section demonstrates this helper.

The following environment variables help determine authentication configuration:

  • AZURE_ENVIRONMENT : Specifies the Azure Environment to use. If not set, it defaults to AzurePublicCloud . Not applicable to authentication with Managed Service Identity (MSI).
  • AZURE_AD_RESOURCE : Specifies the AAD resource ID to use. If not set, it defaults to ResourceManagerEndpoint for operations with Azure Resource Manager. You can also choose an alternate resource programatically with auth.NewAuthorizerFromEnvironmentWithResource(resource string) .

More Authentication Details

The previous is the first and most recommended of several authentication options offered by the SDK because it allows seamless use of both service principals and Azure Managed Service Identity. Other options are listed below.

Note: If you need to create a new service principal, run az ad sp create-for-rbac -n “” in the azure-cli. See these docs for more info. Copy the new principal’s ID, secret, and tenant ID for use in your app, or consider the –sdk-auth parameter for serialized output.

The auth.NewAuthorizerFromEnvironment() described above creates an authorizer from the first available of the following configuration:

The auth.NewAuthorizerFromFile() method creates an authorizer using credentials from an auth file created by the Azure CLI. Follow these steps to utilize:

  1. Create a service principal and output an auth file using az ad sp create-for-rbac –sdk-auth > client_credentials.json .
  2. Set environment variable AZURE_AUTH_LOCATION to the path of the saved output file.
  3. Use the authorizer returned by auth.NewAuthorizerFromFile() in your client as described above.

The auth.NewAuthorizerFromCLI() method creates an authorizer which uses Azure CLI to obtain its credentials. To use this method follow these steps:

  1. Install Azure CLI v2.0.12 or later. Upgrade earlier versions.
  2. Use az login to sign in to Azure.

If you receive an error, use az account get-access-token to verify access.

If Azure CLI is not installed to the default directory, you may receive an error reporting that az cannot be found.
Use the AzureCLIPath environment variable to define the Azure CLI installation folder.

If you are signed in to Azure CLI using multiple accounts or your account has access to multiple subscriptions, you need to specify the specific subscription to be used. To do so, use:

To verify the current account settings, use:

Finally, you can use OAuth’s Device Flow by calling auth.NewDeviceFlowConfig() and extracting the Authorizer as follows:

azure-sdk-for-go provides at least a basic Go binding for every Azure API. To provide maximum flexibility to users, the SDK even includes previous versions of Azure APIs which are still in use. This enables us to support users of the most updated Azure datacenters, regional datacenters with earlier APIs, and even on-premises installations of Azure Stack.

SDK versions apply globally and are tracked by git tags. These are in x.y.z form and generally adhere to semantic versioning specifications.

Service API versions are generally represented by a date string and are tracked by offering separate packages for each version. For example, to choose the latest API versions for Compute and Network, use the following imports:

Occasionally service-side changes require major changes to existing versions. These cases are noted in the changelog, and for this reason Service API versions cannot be used alone to ensure backwards compatibility.

All available services and versions are listed under the services/ path in this repo and in GoDoc. Run find ./services -type d -mindepth 3 to list all available service packages.

Azure API profiles specify subsets of Azure APIs and versions. Profiles can provide:

  • stability for your application by locking to specific API versions; and/or
  • compatibility for your application with Azure Stack and regional Azure datacenters.

In the Go SDK, profiles are available under the profiles/ path and their component API versions are aliases to the true service package under services/ . You can use them as follows:

The following profiles are available for hybrid Azure and Azure Stack environments.

In addition to versioned profiles, we also provide two special profiles latest and preview . The latest profile contains the latest API version of each service, excluding any preview versions and/or content. The preview profile is similar to the latest profile but includes preview API versions.

The latest and preview profiles can help you stay up to date with API updates as you build applications. Since they are by definition not stable, however, they should not be used in production apps. Instead, choose the latest specific API version (or an older one if necessary) from the services/ path.

As an example, to automatically use the most recent Compute APIs, use one of the following imports:

Avoiding Breaking Changes

To avoid breaking changes, when specifying imports you should specify a Service API Version or Profile , as well as lock (using dep and soon with Go Modules) to a specific SDK version.

For example, in your source code imports, use a Service API Version ( 2020-12-01 ):

or Profile version ( 2020-03-09 ):

As well as, for dep, a Gopkg.toml file with:

Combined, these techniques will ensure that breaking changes should not occur. If you are extra sensitive to changes, adding an additional version pin in your SDK Version should satisfy your needs:

Inspecting and Debugging

Built-in Basic Request/Response Logging

Starting with go-autorest v10.15.0 you can enable basic logging of requests and responses through setting environment variables. Setting AZURE_GO_SDK_LOG_LEVEL to INFO will log request/response without their bodies. To include the bodies set the log level to DEBUG .

By default the logger writes to strerr, however it can also write to stdout or a file if specified in AZURE_GO_SDK_LOG_FILE . Note that if the specified file already exists it will be truncated.

IMPORTANT: by default the logger will redact the Authorization and Ocp-Apim-Subscription-Key headers. Any other secrets will not be redacted.

Writing Custom Request/Response Inspectors

All clients implement some handy hooks to help inspect the underlying requests being made to Azure.

  • RequestInspector : View and manipulate the go http.Request before it’s sent
  • ResponseInspector : View the http.Response received

Here is an example of how these can be used with net/http/httputil to see requests and responses.

Tracing and Metrics

All packages and the runtime are instrumented using OpenCensus.

By default, no tracing provider will be compiled into your program, and the legacy approach of setting AZURE_SDK_TRACING_ENABLED environment variable will no longer take effect.

To enable tracing, you must now add the following include to your source file.

To hook up a tracer simply call tracing.Register() passing in a type that satisfies the tracing.Tracer interface.

Note: In future major releases of the SDK, tracing may become enabled by default.

Once enabled, all SDK calls will emit traces and metrics and the traces will correlate the SDK calls with the raw http calls made to Azure API’s. To consume those traces, if are not doing it yet, you need to register an exporter of your choice such as Azure App Insights or Zipkin.

To correlate the SDK calls between them and with the rest of your code, pass in a context that has a span initiated using the opencensus-go library using the trace.Startspan(ctx context.Context, name string, o . StartOption) function. Here is an example:

Request Retry Policy

The SDK provides a baked in retry policy for failed requests with default values that can be configured. Each client object contains the follow fields.

  • RetryAttempts – the number of times to retry a failed request
  • RetryDuration – the duration to wait between retries

For async operations the follow values are also used.

  • PollingDelay – the duration to wait between polling requests
  • PollingDuration – the total time to poll an async request before timing out

Please see the documentation for the default values used.

Changing one or more values will affect all subsequet API calls.

The default policy is to call autorest.DoRetryForStatusCodes() from an API’s Sender method. Example:

Details on how autorest.DoRetryforStatusCodes() works can be found in the documentation.

The slice of SendDecorators used in a Sender method can be customized per API call by smuggling them in the context. Here’s an example.

This will replace the default slice of SendDecorators with the provided slice.

The PollingDelay and PollingDuration values are used exclusively by WaitForCompletionRef() when blocking on an async call until it completes.

  • SDK docs are at
  • SDK samples are at Azure-Samples/azure-sdk-for-go-samples.
  • SDK notifications are published via the Azure update feed.
  • Azure API docs are at
  • General Azure docs are at

Reporting security issues and security bugs

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