From 8b6229bbfcc5fea6f54e901f7f7459df3cd0ecf6 Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 08:07:09 +0200 Subject: [PATCH 01/10] add starter --- ...efreshed-way-to-deploy-mlops-infrastructure.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 _posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md diff --git a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md new file mode 100644 index 00000000..9a93a4d2 --- /dev/null +++ b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md @@ -0,0 +1,15 @@ +--- +layout: post +author: "Alex Strick van Linschoten" +title: "Introducing mlstacks: a refreshed way to deploy MLOps infrastructure" +description: "Introducing mlstacks: a refreshed way to deploy MLOps infrastructure" +category: zenml +tags: mlstacks production mlops zenml +publish_date: August 30, 2023 +date: 2023-08-30T08:05:51Z +thumbnail: +image: + path: +--- + +**Last updated:** August 30, 2023 From 94971d9fb294101a883303fdb7851204faf54f49 Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 08:42:45 +0200 Subject: [PATCH 02/10] update with outline --- ...shed-way-to-deploy-mlops-infrastructure.md | 48 +++++++++++++++++-- 1 file changed, 44 insertions(+), 4 deletions(-) diff --git a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md index 9a93a4d2..e839129f 100644 --- a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md +++ b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md @@ -4,12 +4,52 @@ author: "Alex Strick van Linschoten" title: "Introducing mlstacks: a refreshed way to deploy MLOps infrastructure" description: "Introducing mlstacks: a refreshed way to deploy MLOps infrastructure" category: zenml -tags: mlstacks production mlops zenml +tags: mlstacks production mlops zenml evergreen tooling publish_date: August 30, 2023 date: 2023-08-30T08:05:51Z -thumbnail: +thumbnail: /assets/posts/mlstacks/mlstacks_logo.png image: - path: + path: /assets/posts/mlstacks/mlstacks_logo.png --- - **Last updated:** August 30, 2023 + +We're excited to launch the new `mlstacks` Python package. + +GENERAL INTRO +- what is mlstacks +- why is it useful + - more stable + - cost breakdown + - works standalone / outside ZenML + +## MLOPs Stack Recipes -> MLStacks +why we made the switch +what it enables + +- standalone +- use outside zenml +- extensible + +## How to get started + +mlstacks side +
+ +zenml side +
+ +## How it works + +
+ +how it works for mlstacks +![](/assets/posts/mlstacks/mlstacks.jpg) + +how it works for zenml +![](/assets/posts/mlstacks/zenml-with-mlstacks.jpg) + + +## Try it out! + +visit the QuickStart section of docs +use k3d to try it out quickly locally \ No newline at end of file From 997b1bc0780554443d31767913b0ed9739c2ea0d Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 08:42:54 +0200 Subject: [PATCH 03/10] update with image assets --- assets/posts/mlstacks/mlstacks.jpg | Bin 0 -> 38359 bytes assets/posts/mlstacks/mlstacks_logo.png | Bin 0 -> 3082 bytes assets/posts/mlstacks/zenml-with-mlstacks.jpg | Bin 0 -> 37478 bytes 3 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 assets/posts/mlstacks/mlstacks.jpg create mode 100644 assets/posts/mlstacks/mlstacks_logo.png create mode 100644 assets/posts/mlstacks/zenml-with-mlstacks.jpg diff --git a/assets/posts/mlstacks/mlstacks.jpg b/assets/posts/mlstacks/mlstacks.jpg new file mode 100644 index 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z@6#?*r!FjAwWnJbWyo&Qey(vIj|f+TV<5)-evmtn4~9MRWT)q*vvB?Ad&Mi_HQPvK zeL+;mrXd3;wxGLoVXZvGY5fWLzykkE)zz8bQ^zkg^l~nV?F1K7|DuQVQLYC05S4NI z<@d4M(NEQsyrI(QH;0TizNvA?e#+Ag&-d9T{Y1LwSb$aofJO}TYZkQ&apGzRs83ZY52Q*>98>50zqS8y@i;b?*&@D8R2H;;3e zbEpsR^d|I!LUO>XMtPyTI+}h`Z2kS-yCRyfsN%R zS#E>8)~P5jfW7cC(!1nI&EC-nrT4xF8rSw{raB6RXDN9~s{%Bo{N0Po52!amxv9Wg z{(UDP5a`^s+vdYYCYl;w>4SkcnE-F<0Y2GC=*34~2}W0)a%jb!io|ljcR+>qrkGIZ z9p+u&8=T1zZO73ST@(u+{6QPAU?*4opTo0($x?sQ4gQltau=|SB7M2tbd~yii$a6@n6g=!J)a|NX_#_Ud0bj6<7% zwJE!32aM4rJO^;*{X=G4g^DP(?6ES?qFq9YB;F+huG`(8lpCb~yZQfnaQ<9o|Npvj ct^>Ep8Hoi;Khh`trDWq0pfm!O5Ssdb0QLRd(f|Me literal 0 HcmV?d00001 From 9b1ae4629dc6e71803674954e4a603fb2c8a0da4 Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 10:08:35 +0200 Subject: [PATCH 04/10] finish draft --- ...shed-way-to-deploy-mlops-infrastructure.md | 48 +++++++++++-------- 1 file changed, 28 insertions(+), 20 deletions(-) diff --git a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md index e839129f..e6e92e34 100644 --- a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md +++ b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md @@ -13,43 +13,51 @@ image: --- **Last updated:** August 30, 2023 -We're excited to launch the new `mlstacks` Python package. +We're excited to launch the new `mlstacks` Python package. MLStacks builds on the work done to create Stack Recipes, allowing you to quickly spin up MLOps infrastructure using Terraform. It is designed to be used with ZenML, but can be used with any MLOps tool or platform. -GENERAL INTRO -- what is mlstacks -- why is it useful - - more stable - - cost breakdown - - works standalone / outside ZenML +You can use `mlstacks` directly as a Python package, deploying infrastructure with the CLI after defining your stacks in YAML. Alternatively, you can let ZenML handle writing the stack and component specification files by using the ZenML CLI to define which components you want to deploy. We currently support modular MLOps stacks on AWS, GCP and K3D (for local use). -## MLOPs Stack Recipes -> MLStacks -why we made the switch -what it enables +We reworked the previous way of doing things to be more stable and reliable. We even added new features like the ability to get a cost estimate for your MLOps stacks. MLStacks is also designed to be able to work as a standalone deployment option independent of ZenML. -- standalone -- use outside zenml -- extensible +## How can I try it out? -## How to get started +To use `mlstacks` directly you'll want to create .yaml files to define your stack and the individual components in your stack. (Examples of how to do this can be found in [the dedicated `mlstacks` documentation site.](https://mlstacks.zenml.io/getting-started/quickstart)) -mlstacks side
-zenml side +Using `mlstacks` with ZenML is easier as you aren't required to define your stacks and components in .yaml files; ZenML handles all of that for you. As a quick example, you can run: + +```bash +zenml stack deploy -p gcp -a -n my_mlstacks_stack -r us-east1 -t env=dev -x bucket_name=my-new-bucket -x project_id=zenml +``` + +This would deploy a stack to GCP that has an artifact store created for you in the `us-east1` region. It will also import that stack (with the name `my_mlstacks_stack`) into ZenML ready for you to use. +
+Most of the examples shown here are fairly simple as they allow you to try things out without needing to wait for too long or to incur significant cloud costs, but you're encouraged to try it out for stacks that suit your needs! + ## How it works
-how it works for mlstacks +MLStacks works by taking stack and component specification files and parsing them into Terraform files which are in turn deployed to your cloud (or local, in the case of `k3d`) infrastructure. Our Python package will validate your specification files to ensure that you're not using invalid or unsupported combinations of components. + ![](/assets/posts/mlstacks/mlstacks.jpg) -how it works for zenml +If you find something that we don't yet support but that you need for your work, we encourage you to contribute to the project! + +When using `mlstacks` through ZenML, you don't have to do the work of writing the stack specification .yaml files. You simply need to compose the CLI command that specifies which components you need in your stack. + ![](/assets/posts/mlstacks/zenml-with-mlstacks.jpg) +We're working to provide other (easier) ways to deploy your infrastructure using ZenML but for now CLI deployments offer all the flexibility of the `mlstacks` package without the need to write your own stack and component specifications! ## Try it out! -visit the QuickStart section of docs -use k3d to try it out quickly locally \ No newline at end of file +We encourage you to try out `mlstacks` and to deploy MLOps stacks, either through ZenML or by writing your own stack specifications. Full guides for both options are available in our documentation: + +- To spin up infrastructure using ZenML, [start with our introduction](https://docs.zenml.io/stacks-and-components/stack-deployment/deploy-a-stack-component) to deploying individual stack components via the CLI +- To try out `mlstacks` directly and see how easy it is to specify your stacks using the .yaml specification files, [check out one of our QuickStart guides](https://mlstacks.zenml.io/getting-started/quickstart) appropriate to your favourite cloud platform (or use the `k3d` guide to test deployment locally) + +We'd love to hear your feedback, good and bad! Please [let us know](https://zenml.io/slack-invite) how you got on with `mlstacks` [in Slack](https://zenml.io/slack-invite). Happy deploying! \ No newline at end of file From 69dedf64029efa5cf905251abdeabc5c1b26538b Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 10:12:10 +0200 Subject: [PATCH 05/10] update with reference to 0.44.0 --- ...shed-way-to-deploy-mlops-infrastructure.md | 77 ++++++++++++++----- 1 file changed, 58 insertions(+), 19 deletions(-) diff --git a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md index e6e92e34..7c4fd820 100644 --- a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md +++ b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md @@ -13,51 +13,90 @@ image: --- **Last updated:** August 30, 2023 -We're excited to launch the new `mlstacks` Python package. MLStacks builds on the work done to create Stack Recipes, allowing you to quickly spin up MLOps infrastructure using Terraform. It is designed to be used with ZenML, but can be used with any MLOps tool or platform. - -You can use `mlstacks` directly as a Python package, deploying infrastructure with the CLI after defining your stacks in YAML. Alternatively, you can let ZenML handle writing the stack and component specification files by using the ZenML CLI to define which components you want to deploy. We currently support modular MLOps stacks on AWS, GCP and K3D (for local use). - -We reworked the previous way of doing things to be more stable and reliable. We even added new features like the ability to get a cost estimate for your MLOps stacks. MLStacks is also designed to be able to work as a standalone deployment option independent of ZenML. +We're excited to launch [the new `mlstacks` Python package](https://mlstacks.zenml.io). MLStacks builds on +the work done to create Stack Recipes, allowing you to quickly spin up MLOps +infrastructure using Terraform. It is designed to be used with ZenML, but can be +used with any MLOps tool or platform. + +You can use `mlstacks` [directly as a Python package](https://pypi.org/project/mlstacks/), deploying infrastructure +with the CLI after defining your stacks in YAML. Alternatively, you can let +ZenML handle writing the stack and component specification files by [using the +ZenML CLI](https://docs.zenml.io/stacks-and-components/stack-deployment) to define which components you want to deploy. We currently support +modular MLOps stacks on AWS, GCP and K3D (for local use). + +We reworked the previous way of doing things to be more stable and reliable. We +even added new features like the ability to get a cost estimate for your MLOps +stacks. MLStacks is also designed to be able to work as a standalone deployment +option independent of ZenML. All of this is available in the new `mlstacks` +Python package and with ZenML's latest release (0.44.0). ## How can I try it out? -To use `mlstacks` directly you'll want to create .yaml files to define your stack and the individual components in your stack. (Examples of how to do this can be found in [the dedicated `mlstacks` documentation site.](https://mlstacks.zenml.io/getting-started/quickstart)) +To use `mlstacks` directly you'll want to create .yaml files to define your +stack and the individual components in your stack. (Examples of how to do this +can be found in [the dedicated `mlstacks` documentation +site.](https://mlstacks.zenml.io/getting-started/quickstart))
-Using `mlstacks` with ZenML is easier as you aren't required to define your stacks and components in .yaml files; ZenML handles all of that for you. As a quick example, you can run: +Using `mlstacks` with ZenML is easier as you aren't required to define your +stacks and components in .yaml files; ZenML handles all of that for you. As a +quick example, you can run: ```bash zenml stack deploy -p gcp -a -n my_mlstacks_stack -r us-east1 -t env=dev -x bucket_name=my-new-bucket -x project_id=zenml ``` -This would deploy a stack to GCP that has an artifact store created for you in the `us-east1` region. It will also import that stack (with the name `my_mlstacks_stack`) into ZenML ready for you to use. +This would deploy a stack to GCP that has an artifact store created for you in +the `us-east1` region. It will also import that stack (with the name +`my_mlstacks_stack`) into ZenML ready for you to use.
-Most of the examples shown here are fairly simple as they allow you to try things out without needing to wait for too long or to incur significant cloud costs, but you're encouraged to try it out for stacks that suit your needs! +Most of the examples shown here are fairly simple as they allow you to try +things out without needing to wait for too long or to incur significant cloud +costs, but you're encouraged to try it out for stacks that suit your needs! ## How it works
-MLStacks works by taking stack and component specification files and parsing them into Terraform files which are in turn deployed to your cloud (or local, in the case of `k3d`) infrastructure. Our Python package will validate your specification files to ensure that you're not using invalid or unsupported combinations of components. +MLStacks works by taking stack and component specification files and parsing +them into Terraform files which are in turn deployed to your cloud (or local, in +the case of `k3d`) infrastructure. Our Python package will validate your +specification files to ensure that you're not using invalid or unsupported +combinations of components. ![](/assets/posts/mlstacks/mlstacks.jpg) -If you find something that we don't yet support but that you need for your work, we encourage you to contribute to the project! +If you find something that we don't yet support but that you need for your work, +we encourage you to contribute to the project! -When using `mlstacks` through ZenML, you don't have to do the work of writing the stack specification .yaml files. You simply need to compose the CLI command that specifies which components you need in your stack. +When using `mlstacks` through ZenML, you don't have to do the work of writing +the stack specification .yaml files. You simply need to compose the CLI command +that specifies which components you need in your stack. ![](/assets/posts/mlstacks/zenml-with-mlstacks.jpg) -We're working to provide other (easier) ways to deploy your infrastructure using ZenML but for now CLI deployments offer all the flexibility of the `mlstacks` package without the need to write your own stack and component specifications! +We're working to provide other (easier) ways to deploy your infrastructure using +ZenML but for now CLI deployments offer all the flexibility of the `mlstacks` +package without the need to write your own stack and component specifications! ## Try it out! -We encourage you to try out `mlstacks` and to deploy MLOps stacks, either through ZenML or by writing your own stack specifications. Full guides for both options are available in our documentation: - -- To spin up infrastructure using ZenML, [start with our introduction](https://docs.zenml.io/stacks-and-components/stack-deployment/deploy-a-stack-component) to deploying individual stack components via the CLI -- To try out `mlstacks` directly and see how easy it is to specify your stacks using the .yaml specification files, [check out one of our QuickStart guides](https://mlstacks.zenml.io/getting-started/quickstart) appropriate to your favourite cloud platform (or use the `k3d` guide to test deployment locally) - -We'd love to hear your feedback, good and bad! Please [let us know](https://zenml.io/slack-invite) how you got on with `mlstacks` [in Slack](https://zenml.io/slack-invite). Happy deploying! \ No newline at end of file +We encourage you to try out `mlstacks` and to deploy MLOps stacks, either +through ZenML or by writing your own stack specifications. Full guides for both +options are available in our documentation: + +- To spin up infrastructure using ZenML, [start with our + introduction](https://docs.zenml.io/stacks-and-components/stack-deployment/deploy-a-stack-component) + to deploying individual stack components via the CLI +- To try out `mlstacks` directly and see how easy it is to specify your stacks + using the .yaml specification files, [check out one of our QuickStart + guides](https://mlstacks.zenml.io/getting-started/quickstart) appropriate to + your favourite cloud platform (or use the `k3d` guide to test deployment + locally) + +We'd love to hear your feedback, good and bad! Please [let us +know](https://zenml.io/slack-invite) how you got on with `mlstacks` [in +Slack](https://zenml.io/slack-invite). Happy deploying! From 4294c88598a02adae89834131418cf947a1bf225 Mon Sep 17 00:00:00 2001 From: Alex Strick van Linschoten Date: Wed, 30 Aug 2023 10:14:55 +0200 Subject: [PATCH 06/10] british (correct) spelling -> American spelling --- ...-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md index 7c4fd820..976c372f 100644 --- a/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md +++ b/_posts/2023-08-30-introducing-mlstacks:-a-refreshed-way-to-deploy-mlops-infrastructure.md @@ -94,7 +94,7 @@ options are available in our documentation: - To try out `mlstacks` directly and see how easy it is to specify your stacks using the .yaml specification files, [check out one of our QuickStart guides](https://mlstacks.zenml.io/getting-started/quickstart) appropriate to - your favourite cloud platform (or use the `k3d` guide to test deployment + your favorite cloud platform (or use the `k3d` guide to test deployment locally) We'd love to hear your feedback, good and bad! 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