All In One Runtimes Xp
Brandi Baylon
Red Hat Runtimes is a set of products, tools, and components for developing and maintaining cloud-native applications. It offers lightweight runtimes and frameworks (like Quarkus) for highly-distributed cloud architectures, such as microservices.
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When doing a fresh Windows OS install, it's recommended to always install all the various C++ runtimes, which is why this all-in-one pack was created. It helps to avoid problems with programs that cause error messages like "side-by-side configuration is incorrect", or "Missing MSVCRT.DLL", "VCRUNTIME140_1.dll was not found", or "MSVCP140.DLL".
Lambda supports multiple languages through the use of runtimes. A runtime provides a language-specific environment that relays invocation events, context information, and responses between Lambda and the function. You can use runtimes that Lambda provides, or build your own.
Each major programming language release has a separate runtime, with a unique runtime identifier, such as nodejs20.x or python3.12. To configure a function to use a new major language version, you need to change the runtime identifier. Since AWS Lambda cannot guarantee backward compatibility between major versions, this is a customer-driven operation.
When you use a .zip file archive for the deployment package, you choose a runtime when you create the function. To change the runtime, you can update your function's configuration. The runtime is paired with one of the Amazon Linux distributions. The underlying execution environment provides additional libraries and environment variables that you can access from your function code.
Lambda invokes your function in an execution environment. The execution environment provides a secure and isolated runtime environment that manages the resources required to run your function. Lambda re-uses the execution environment from a previous invocation if one is available, or it can create a new execution environment.
To use other languages in Lambda, such as Go or Rust, use an OS-only runtime. The Lambda execution environment provides a runtime interface for getting invocation events and sending responses. You can deploy other languages by implementing a custom runtime alongside your function code, or in a layer.
The following table lists the supported Lambda runtimes and projected deprecation dates. After a runtime is deprecated, you're still able to create and update functions for a limited period. For more information, see Runtime use after deprecation. The table provides the currently forecasted dates for runtime deprecation. These dates are provided for planning purposes and are subject to change.
Lambda continues to support the Go programming language after deprecation of the Go 1.x runtime. For more information, see Migrating AWS Lambda functions from the Go1.x runtime to the custom runtime on Amazon Linux 2 on the AWS Compute Blog.
Lambda provides managed runtimes for new language versions only when the release reaches the long-term support (LTS) phase of the language's release cycle. For example, for the Node.js release cycle, when the release reaches the Active LTS phase.
Before the release reaches the long-term support phase, it remains in development and can still be subject to breaking changes. Lambda applies runtime updates automatically by default, so breaking changes to a runtime version could stop your functions from working as expected.
In response to customer feedback, AWS is delaying the deprecation of the Node.js 16 runtime until 9 months after the end of community LTS. The Node.js 16 runtime will be deprecated on the date provided in the Supported Runtimes table. As stated in the preceding note, between the end of LTS on September 11, 2023 and the deprecation date, Lambda will only apply OS patches to the runtime. No security patches for the language runtime will be applied during this period.
Lambda is responsible for curating and publishing security updates for all supported managed runtimes and container base images. By default, Lambda will apply these updates automatically to functions using managed runtimes. Where the default automatic runtime update setting has been changed, see the runtime management controls shared responsibility model. For functions deployed using container images, you're responsible for rebuilding your function's container image from the latest base image and redeploying the container image.
In all cases, you are responsible for applying updates to your function code, including its dependencies. Your responsibilities under the shared responsibility model are summarized in the following table.
For some runtimes, AWS is delaying the block-function-create and block-function-update dates beyond the usual 30 and 60 days after deprecation. AWS has made this change in response to customer feedback to give you more time to upgrade your functions. Refer to the tables in Supported runtimes and Deprecated runtimes to see the dates for your runtime.
You can update a function to use a newer supported runtime indefinitely after a runtime is deprecated. You should test that your function works with the new runtime before applying the runtime change in production environments, since you will not be able to revert to the deprecated runtime once the 60-day period has passed. We recommend using function versions and aliases to enable safe deployment with rollback.
You can continue to invoke your functions indefinitely after the runtime is deprecated. However, AWS strongly recommends that you migrate functions to a supported runtime so that your functions continue to receive security patches and remain eligible for technical support.
When a runtime approaches its deprecation date, Lambda sends you an email alert if any functions in your AWS account use that runtime. Notifications are also displayed in the AWS Health Dashboard and in AWS Trusted Advisor.
Lambda sends you an email alert at least 180 days before a runtime is deprecated. This email lists the $LATEST versions of all functions using the runtime. To see a full list of affected function versions, use Trusted Advisor or see Retrieve data about Lambda functions that use a deprecated runtime.
Lambda sends email notification to your AWS account's primary account contact. For information about viewing or updating the email addresses in your account, see Updating contact information in the AWS General Reference.
The AWS Health Dashboard displays a notification at least 180 days before a runtime is deprecated. Notifications appear on the Your account health page under Other notifications. The Affected resources tab of the notification lists the $LATEST versions of all functions using the runtime.
Trusted Advisor displays a notification 180 days before a runtime is deprecated. Notifications appear on the Security page. A list of your affected functions is displayed under AWS Lambda Functions Using Deprecated Runtimes. This list of functions shows both $LATEST and published versions and updates automatically to reflect your functions' current status.
In almost all cases, the end-of-life date of a language version or operating system is known well in advance. The following links give end-of-life schedules for each language that Lambda supports as a managed runtime.
Is it legal in tokio to have channels that span runtimes? That is, in an application with two tokio runtimes, can the receiving and sending end of one of the channels in tokio::sync live in those separate runtimes?
Yeah I'd say so. I wrote a crude little test where I put the sender and receiver in two different runtimes and pass messages between those runtimes with mpsc, oneshot and broadcast channels. All messages are sent and received:
The Spine Runtimes are libraries that allow your game toolkit to load and render animations in your games, just as they do in Spine. Our APIs provide direct access to bones, attachments, skins and other animation data. Bones can be manipulated procedurally, animations can be combined, crossfaded and more.
The official runtimes are available on GitHub and licensing Spine grants permission to use the runtimes in your applications. All of the source code is provided, which is essential for such a fundamental component of your games.
If you are evaluating the runtimes prior to licensing Spine, the Spine Trial comes with many example projects. Example project export files are provided to evaluate the runtimes from start to finish. See the Spine Runtimes Guide to get started.
The generic runtimes handle everything except rendering. If your game toolkit is not officially supported, you can easily extend one of the official generic runtimes or try one of the third party runtimes.
My understanding is that for the vast majority of applications, all that really matters is whether your runtime/executor is a single-threaded "event loop" or uses a pool of multiple threads. tokio::runtime - Rust might help. After that, which runtime you use is mostly a performance optimization, i.e. something you should not be concerned about at all until you run into an actual bottleneck worth writing benchmarks for.
The best post I've seen about optimizing the performance of a specific executor/runtime is Making the Tokio scheduler 10x faster, so that might help give you some idea what these "runtime" thingies are actually doing and why it affects performance so much.
async_std::main is not a runtime, but a macro you can put on your main() function to enable async/await syntax there. It's basically just sugar for calling async_std::task::block_on. For discussion of the default runtime that async_std actually ships with, see async-std - Stop worrying about blocking: the new async-std runtime, inspired by Go. Notice again the "you generally don't need to think about it" theme.
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