![]() ![]() For more information about the environment variable file syntax, see Declare default environment variables in file. Lines beginning with # are treated as comments and are ignored. Each line in an environment file should contain an environment variable in VARIABLE=VALUE format. You can specify up to ten environment files. ![]() Ī list of files containing the environment variables to pass to a container. Using that same logic, if you specify a weight of 1 for capacityProviderA and a weight of 4 for capacityProviderB, then for every one task that’s run using capacityProviderA, four tasks would use capacityProviderB. If you specify multiple capacity providers in a strategy that all have a weight of 0, any RunTask or CreateService actions using the capacity provider strategy will fail.Īn example scenario for using weights is defining a strategy that contains two capacity providers and both have a weight of 1, then when the base is satisfied, the tasks will be split evenly across the two capacity providers. When multiple capacity providers are specified within a capacity provider strategy, at least one of the capacity providers must have a weight value greater than zero and any capacity providers with a weight of 0 can’t be used to place tasks. If no weight value is specified, the default value of 0 is used. The weight value is taken into consideration after the base value, if defined, is satisfied. The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used in a capacity provider strategy.Ī capacity provider strategy may contain a maximum of 6 capacity providers. To use a Fargate capacity provider, specify either the FARGATE or FARGATE_SPOT capacity providers. New Auto Scaling group capacity providers can be created with the CreateCapacityProvider API operation. If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. ![]() The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster. Only capacity providers that are already associated with a cluster and have an ACTIVE or UPDATING status can be used in a capacity provider strategy. A capacity provider strategy can be set when using the RunTask or CreateCluster APIs or as the default capacity provider strategy for a cluster with the CreateCluster API. The details of a capacity provider strategy. Apply an exponential backoff algorithm starting with a couple of seconds of wait time, and increase gradually up to about five minutes of wait time. Add wait time between subsequent commands, even if the DescribeTasks command returns an accurate response.To do this, run the DescribeTasks command repeatedly, starting with a couple of seconds of wait time and increasing gradually up to five minutes of wait time. Run the DescribeTasks command using an exponential backoff algorithm to ensure that you allow enough time for the previous command to propagate through the system. Confirm the state of the resource before you run a command to modify it. ![]() To manage eventual consistency, you can do the following: Keep this in mind when you carry out an API command that immediately follows a previous API command. This means that the result of an API command you run that affects your Amazon ECS resources might not be immediately visible to all subsequent commands you run. This is because of the distributed nature of the system supporting the API. The Amazon ECS API follows an eventual consistency model. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. NoteStarting April 15, 2023, Amazon Web Services will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. ![]()
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