Improve application resilience by introducing faults and simulating outages
With Azure Chaos Studio, you can improve the resilience of your applications by deliberately introducing faults that simulate real-world outages.
Chaos engineering experiments are charged based on the duration that your experiment actions run across each target/resource.
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Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using Thomson Reuters benchmark rates refreshed on the first day of each calendar month. Sign in to the Azure pricing calculator to see pricing based on your current programme/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. For more information on Azure pricing see frequently asked questions.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription.
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Azure Chaos Studio is launched into public preview as of November 2021 and is temporarily provided free of charge. On or after April 3, 2023, Azure Chaos Studio will be pay as you go based on experiment execution - chaos engineering experiments will be charged based on the duration that your experiment actions run across each target or resource, which we refer to as per target action-minute.
Please note that running chaos experiments may involve additional charges for other services – for example, if CPU utilisation triggers auto scaling to deploy new resources.
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