Twilio Runtime Domain

[Osias Baptist]

Ishould reiterate that this is heavily over-engineered for solving the problem at hand, with the main driver being to provide me with enough of a problem domain to explore the many different features/states (i.e. Map, Choice, Parallel) of Step Functions, and runtimes available on Lambda.

I have had the opportunity to explore employing an Step Function workflow for several personal projects over the years, providing a high-level of orchestration/durability between task/state transitions.One of the key elements I have found is when to model such decisions/execution at the workflow level, or leave it within the code itself.Fortunately, this problem could be broken up into several logically separate problems (parsing, allocating, notifying) which allowed me to experiment with handling failure and mapping input in parallel with choice branching.

I am a big proponent of Lambda, but due to the languages and runtimes I have been exposed to in the past I have not had the opportunity to explore many of the available runtimes Lambda has to offer.Breaking up this problem into many Lambda behaviours felt like a great opportunity to change that.

However, with the availability of the Custom Runtime API the list of available runtimes is endless, as such, I decided to limit the scope to all six distinct supported runtimes AWS has to offer, along with a single custom runtime hosted on provided.al2.This gave me the chance to experience and implement functionality in each language runtime using more than just a simple Hello world example has to offer.

Instead of using a pre-built custom runtime, I opted to additionally take the opportunity of integrating my own person language I have been developing over the year into a Lambda context.I am sure I will be discussing my experience developing this language more in later posts; but at a high-level it is a tree-walking interpreted programming language that is targeted primarily at solving Advent of Code problems.The current working implementation is hosted on NodeJS.Due to this, I was able to garner inspiration from other custom runtime boostrap processes, and how they handle the Lambda request lifecycle.I was able to package up the boostrap into a single executable thanks to pkg and distribute it as a layer for my workflow to use.

This side-project provided me with a great appreciation for the Custom Runtime API that AWS has developed, using HTTP as the common denominator for communication between the desired execution and host Lambda environment.

For managing and deploying the workflow I opted to use the Severless Framework and the de-facto Serverless Step Functions plugin.This allowed me to co-locate the workflow and Lambda definitions, which I felt was very beneficial.

Many of the runtimes required their own specific packaging steps, either for pulling down dependencies and/or compilation.As such, I opted to define/document these within Makefile targets which use Docker as the primary means of providing the required execution environment to deterministically package the artifacts.

I really enjoyed building out this behaviour using AWS Step Functions and Lambda runtimes.In the time frame I gave myself I was unable to develop a sufficient local execution environment to test the workflow using Step Functions Local, but in future projects I hope to explore this further.

For single-app projects, the configuration is all done in a .platform.app.yaml file,usually located at the root of your app folder in your Git repository.Multi-app projects can be set up in various ways.

The type defines the base container image used to run the application.The version is the major (X) and sometimes minor (X.Y) version numbers,depending on the service, as in the following table.Security and other patches are taken care of for you automatically.

By default, resource sizes (CPU and memory) are chosen automatically for an appbased on the plan size and the number of other containers in the cluster.Most of the time, this automatic sizing is enough.

The maximum total space available to all apps and services is set by the storage in your plan settings.When deploying your project, the sum of all disk keys defined in app and service configurationsmust be equal or less than the plan storage size.

The service mount type specifically exists to share data between instances of the same application, whereas tmp and instance are meant to restrict data to build time and runtime of a single application instance, respectively.These allowances are not compatible, and will result in an error if pushed.

Each key in the locations dictionary is a path on your site with a leading /.For example.com, a / matches example.com/ and /admin matches example.com/admin.When multiple keys match an incoming request, the most-specific applies.

Be aware that many services are behind a content delivery network (CDN).For most CDNs, routing is done via domain name, not IP address,so thousands of domain names may share the same public IP addresses at the CDN.If you allow the IP address of a CDN, you are usually allowing many or all of the other customers hosted behind thatCDN.

You can filter outbound traffic by domain.Using domains in your rules rather than IP addresses is generally more specific and secure.For example, if you use an IP address for a service with a CDN,you have to allow the IP address for the CDN.This means that you allow potentially hundreds or thousands of other servers also using the CDN.

There are three different hooks that run as part of the process of building and deploying your app.These are places where you can run custom scripts.They are: the build hook, the deploy hook, and the post_deploy hook.Only the build hook is run for worker instances, while web instances run all three.

All application configuration takes place in a .upsun/config.yaml file, with each application configuredunder a unique key beneath the top-level applications key.For example, it is possible to deploy two application containers - one JavaScript and the other Python - for thefrontend and backend components of a deployed site.

The storage mount type specifically exists to share data between instances of the same application, whereas tmp and instance are meant to restrict data to build time and runtime of a single application instance, respectively.These allowances are not compatible, and will result in an error if pushed.

Hello, I am trying to create a new service task which will send text messages to a phone. To do this I created maven project which would send text message and I import it to Jboss BPM suit as a jar file

09:08:19,782 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.util.concurrent.Striped$SmallLazyStriped failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

09:08:19,786 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.util.concurrent.ServiceManager$ServiceListener failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

09:08:19,810 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.util.concurrent.Striped$LargeLazyStriped failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

09:08:19,821 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.util.concurrent.Futures$ListFuture$ListFutureRunningState failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

09:08:19,833 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.util.concurrent.ServiceManager failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

09:08:19,858 WARN [org.kie.workbench.common.services.backend.builder.ClassVerifier] (http-127.0.0.1/127.0.0.1:8080-5) Verification of class com.google.common.collect.ImmutableMap$IteratorBasedImmutableMap failed and will not be available for authoring.Please check the necessary external dependencies for this project are configured correctly.

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