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In the table below you can see the pros and cons:
Implementation | Pros | Cons | Main purpose |
---|---|---|---|
App & Low Code, Pipelines | Easy to learn. No deep developer skills required. Very fast results possible. No compilation and build steps required. Huge set of out-of-the-box toolings like forms, lists, reports and utils available. Based on many pre-defined standards which can simplify maintenance and upgrading. | Limited to its main purposes. Requires a deployment process. | For data mappings and transformations, workflows and system integrations. Building frontend apps with forms, listings and basic reports. |
Microservice | Very flexible: You can use any programming language and libraries of your choice and you can develop any business complexity you like. | Requires developer skills and somebody who reviews and manages the architecture of the microservice. Requires a build and deployment process. | For complex business logics, running mainly as background services. |
It's also possible to combine apps and microservices in order to implement a single business solution:
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Sync communication - Typically used with RESTful services inside PIPEFORCE.
Async communication - Typically used with RabbitMQ and messaging inside PIPEFORCE (preferred way).
Deploy / Start a Microservice
Once a microservice has been developed, it must be wrapped inside a (Docker) image in order to be able to deploy it into PIPEFORCE. The deployment cycle of a microservice in PIPEFORCE is always an 4-step task:
Build a (Docker) container image from the sources of your microservice.
Upload the container image to a container registry which is supported by PIPEFORCE (for example Docker Hub or the PIPEFORCE Container Registry).
Deploy the image from this registry into your PIPEFORCE namespace by using the command
service.start
.
Step 2-4 These steps are typically automated by using a CI/CD tool like Jenkins, CircleCI, Travis or similar.
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service.start - Starts a new service by deploying an image.
service.stop - Stops a running service.
service.status - Returns the status of a service.
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Default ENV variables
Every time a service is started using the service.start
command, also some implicit default variables will be automatically passed to this container and can be accessed via the environment variables inside the container. These implicit variables are:
ENV | Description |
---|---|
|
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The domain name used for the PIPEFORCE instance. For example | |
|
...
| The cluster internal |
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host name of the hub service in order to connect to. |
|
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PIPEFORCE_SERVICE
= The name of this custom service inside PIPEFORCE.
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| The cluster internal host port in order to connect to. |
|
...
|
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| The cluster internal url of the hub service in order to connect via REST for example. |
|
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The default dead letter queue used for RabbitMQ messaging. |
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It is usually |
|
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| The default messaging |
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exchange used for RabbitMQ messaging |
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Additionally to these default environment variables, you can also set your custom ones by using the parameter env
on the command service.start
:
Code Block | ||
---|---|---|
| ||
pipeline:
- service.start:
name: myservice
image: myimage
env:
MY_ENV: "myCustomValue" |
Passing secrets as ENV
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. It is usually | |
| The default messaging topic used for RabbitMQ messaging. It is usually the same as the default exchange. |
| The messaging host to connect to in order to register a RabbitMQ listener. See below in documentation how to optionally pass messaging username and password as a secret if required. They aren’t provided by default. |
| The messaging host to connect to in order to register a RabbitMQ listener. |
| The namespace of the instance this services runs inside. |
| The external url to the PIPEFORCE webui portal in order to refer to from inside a microservice. |
| The name of this custom service inside PIPEFORCE. |
| The staging mode, this namespace is running in. Usually one of |
Note: Since any value of these ENV variables could change over time, you should never persist them in your microservice!
Custom ENV variables
Additionally to these default environment variables, you can also add your custom ones by using the parameter env
on the command service.start
:
Code Block | ||
---|---|---|
| ||
pipeline:
- service.start:
name: myservice
image: myimage
env:
MY_ENV: "myCustomValue" |
Secret ENV variables
In case you would like to pass secret values to your service ENV variables, you have to do these steps:
Create a secret of type
secret-text
and with the service name as prefix in the secret store, like this:<yourservice>_<YOUR_SECRET_NAME>
.Use the custom uri
$uri:secret:<yourservice>_<YOUR_SECRET_NAME>
in the env parameter.
For example, lets assume you would like to start a service myservice
and pass a secret with custom name MY_SERVICE
to it. For this you have to create a secret with name myservice_MY_SECRET
in the secret store and then refer to it like this:
Code Block | ||
---|---|---|
| ||
pipeline:
- service.start:
name: myservice
image: myimage
env:
MY_SECRET_ENV: $uri:secret:myservice_MY_SECRET |
On startup of the service, the secret with name myservice_MY_SECRET
will be read from the secret store and passed to the container as environment variable MY_SECRET_ENV
. This way it is not required to store the secret in code.
Note: Only secrets having the same service name as prefix are allowed to be passed to this service. Any other secret cannot be passed to a service. This is for security reasons.
Info |
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Since the secret is stored in the environment variable in plain text, make sure to pass secrets only along to trustworthy microservices which belong to your stack! |
You can also define a default value for a secret. In case the secret could not be found in the secret store, the given default value will be used and passed as ENV variable value instead:
Code Block |
---|
$uri:secret:myservice_MY_SECRET:someDefaultValue |
Note: Since this default value is part of your source code, it should only be used in case it is not used in production. For example for demo logins or similar.
Shared secret ENV variables
In case you would like to share a single secret across multiple services, you must prefix it with SHARED_
instead. Secrets prefixed with SHARED_
can be passed to any microservice without security check.
Lets assume you have created a secret with name SHARED_MY_SECRET
, then you can pass it to any service like this example shows:
Code Block | ||
---|---|---|
| ||
pipeline: - service.start: name: myservice image: myimage env: MY_SECRET_ENV: "$uri:secret:MY_SECRET" |
On startup of the service, the secret with name MY_SECRET
will be read from the secret store and passed to the container as environment variable MY_SECRET_ENV
. This way it is not required to store the secret in code.
Info |
---|
Since the secret is stored in the environment variable in plain text, make sure to pass secrets only along to trustworthy microservices which belong to your stack! |
You can also define a default value for a secret. In case the secret could not be found in the secret store, the given default value will be used and passed as ENV variable value instead:
Code Block |
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$uri:secret:MY_SECRET:someDefaultValue:SHARED_MY_SECRET |
Note |
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Important |
Monitoring a microservice
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If you're interested in how to send and receive messages using pipelines, see Messaging and Events Framework.
How to connect a Microservice with the message broker?
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PIPEFORCE_MESSAGING_HOST
= The cluster-internal hostname of the messaging service.PIPEFORCE_MESSAGING_PORT
= The cluster-internal port of the messaging service.
Info |
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Note: This The values of these values ENVs can change at any time, so do not use store them as fixed value. |
Additionally to these variables, you need to set the PIPEFORCE_MESSAGING_USERNAME
and PIPEFORCE_MESSAGING_PASSWORD
along with your service.start
command using the custom uri prefix $uri:secret
. Here is how to do it:
Create a new secret in your secret store with name
pipeforce-<yourservice>_messaging-_username
and typesecret-text
and set the RabbitMQ username you would like to use to connect.Create a new secret in your secret store with name
pipeforce-<yourservice>_messaging-_password
and typesecret-text
and set the RabbitMQ password you would like to use to connect.
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Code Block |
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pipeline: - service.start: name: "myservice" image: "some/image" env: PIPEFORCE_MESSAGING_USERNAME: "$uri:secret:pipeforce-myservice_messaging-username" PIPEFORCE_MESSAGING_PASSWORD: "$uri:secret:pipeforce-myservice_messaging-password" |
This way, the sensitive values will be passed to your container without the requirement to store them into code or refer from external systems.
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By default any microservice is responsible to setup and manage its own queues.
Each queue should contain always equal message types. So, for different messages, create additional queues.
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Code Block |
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service_shoppingcart_orders_q |
Default Topic
PIEPFORCE PIPEFORCE automatically creates a default topic exchange on startup with this name: pipeforce.hub.default.topic
.
PIPEFORCE core services are configured in a way that any event which happens there or which is sent using the event.send
command is will also be send to this default topic.
In case a microservice wants to listen to a certain type of message with a given routing key, it needs to create a binding between the topic pipeforce.hub.default.topic
and the queue you want to “feed” this message into.
Note: The name of this default topic could change. Therefore, do not hard-code it into your microservice. Instead, use the value from the passed-in ENV variable PIPEFORCE_MESSAGING_DEFAULT_TOPIC
.
See here for more details about topics, routings and queues: https://www.rabbitmq.com/tutorials/tutorial-five-python.html
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Additionally, a default Dead Letter Queue is automatically configured by PIPEFORCE : pipeforce_hub_default_dlq
those name is given by the ENV variable PIPEFORCE_MESSAGING_DEFAULT_DLQ
.
Any other queue can be configured in a way to forward messages to this queue if one these rules apply:
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Code Block |
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x-dead-letter-exchange = ""
x-dead-letter-routing-key = "pipeforce_hub_default_dlq" |
How to set these arguments in your microservice depends on your selected programming language and the RabbitMQ client implementation you're using. See documentation for details: https://www.rabbitmq.com/dlx.html
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See here for more details about message key patterns on topics: https://www.rabbitmq.com/tutorials/tutorial-five-python.html
Message / Event Key | Description |
---|---|
| In case a new delivery was created. |
| In case a new public link for a delivery was created. |
| In case a public link for a delivery has been deleted. |
| In case the attachments of a delivery have been deleted. |
| In case the deletion of the attachments have been failed. |
| In case hub has context has been started is ready to accept requests but right before the startup phase. |
| In case hub context is about to start. Note: This event is not send to the topic queue since at the time of this, the RabbitMQ connector is not setup yet. This event is just for internal use in hub. Its mentioned here just for completeness reasons. |
| In case hub setup has been finished. |
| In case the hub setup is about to be started. This is right after the context has been started but before the setup has been fully finished. |
| In case a potential bruteforce attach has been detected by IAM. |
| In case a login using IAM has been failed. |
| In case a property in the property store has been copied. See PropertyCopiedEvent.java for implementation details. |
| In case a property in the property store has been created. See PropertyCreatedEvent.java for implementation details. |
| In case a property in the property store has been deleted. See PropertyDeletedEvent.java for implementation details. |
| In case a property in the property store has been moved. See PropertyMovedEvent.java for implementation details. |
| In case a property in the property store has been moved. See PropertyUpdatedEvent.java for implementation details. |
| A new usagelog entry was created in the property store. See UsageLogCreatedEvent.java for implementation details. |
| In case a webhook call has been occurred. The <name_of_webhook> depends on the setup. You can use the pattern webhook.# to listen to all webhooks. |
Depends on key param of command event.send. | Furthermore whenever the command event.send is called, the payload of this event is also forwarded to the default hub topic using the key param of this command as the messaging key and the body as the payload of the message. |