Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Tips to reduce latency #13996

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Conversation

andrewjschuang
Copy link
Collaborator

@andrewjschuang andrewjschuang commented Sep 18, 2024

WHY

Summary by CodeRabbit

  • New Features

    • Added a section on optimizing workflow performance with strategies such as increasing memory allocation, returning static HTTP responses, simplifying workflows, and activating warm workers.
    • Introduced informational callouts regarding reducing workflow latency for HTTP requests.
  • Documentation

    • Enhanced troubleshooting documentation to provide actionable advice for improving workflow efficiency and performance.

Copy link

vercel bot commented Sep 18, 2024

The latest updates on your projects. Learn more about Vercel for Git ↗︎

Name Status Preview Comments Updated (UTC)
docs-v2 ✅ Ready (Inspect) Visit Preview 💬 Add feedback Sep 18, 2024 8:13pm
pipedream ❌ Failed (Inspect) Sep 18, 2024 8:13pm
2 Skipped Deployments
Name Status Preview Comments Updated (UTC)
pipedream-docs ⬜️ Ignored (Inspect) Sep 18, 2024 8:13pm
pipedream-docs-redirect-do-not-edit ⬜️ Ignored (Inspect) Sep 18, 2024 8:13pm

Copy link
Contributor

coderabbitai bot commented Sep 18, 2024

Walkthrough

The pull request introduces updates to the documentation, focusing on enhancing workflow performance in Pipedream. Key changes include the addition of strategies for optimizing workflows, such as increasing memory allocation, returning static HTTP responses, simplifying workflows, and activating warm workers. Informational callouts regarding latency reduction for HTTP requests are also included, providing users with actionable advice to improve efficiency.

Changes

File Path Change Summary
docs-v2/pages/troubleshooting.mdx Added a new section titled "How can my workflow run faster?" outlining four strategies for performance enhancement.
docs-v2/pages/workflows/triggers.mdx Added an informational callout advising users to return a static response from HTTP triggers to reduce latency.

Poem

In the fields where workflows play,
A rabbit hops to save the day.
With memory high and steps made few,
Performance blooms, like morning dew.
Static responses, quick and bright,
Make every trigger feel just right! 🐇✨


Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between b98e56f and 6fdefe2.

Files selected for processing (2)
  • docs-v2/pages/troubleshooting.mdx (1 hunks)
  • docs-v2/pages/workflows/triggers.mdx (1 hunks)
Files skipped from review as they are similar to previous changes (2)
  • docs-v2/pages/troubleshooting.mdx
  • docs-v2/pages/workflows/triggers.mdx

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share
Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    -- I pushed a fix in commit <commit_id>, please review it.
    -- Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    -- @coderabbitai generate unit testing code for this file.
    -- @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    -- @coderabbitai generate interesting stats about this repository and render them as a table.
    -- @coderabbitai read src/utils.ts and generate unit testing code.
    -- @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    -- @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Outside diff range and nitpick comments (1)
docs-v2/pages/workflows/triggers.mdx (1)

198-198: Consider removing the empty line.

Adding an empty line does not affect the functionality and may be intended to improve the formatting. However, in documentation files, it's generally recommended to keep the content concise by avoiding unnecessary empty lines.

-
Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between db59016 and b98e56f.

Files selected for processing (3)
  • docs-v2/pages/troubleshooting.mdx (1 hunks)
  • docs-v2/pages/workflows/settings.mdx (1 hunks)
  • docs-v2/pages/workflows/triggers.mdx (2 hunks)
Additional comments not posted (3)
docs-v2/pages/workflows/settings.mdx (1)

115-121: Excellent addition to the documentation!

The callout provides a clear and actionable suggestion for reducing workflow latency by increasing memory allocation. Specifying the recommended value of 512MB and comparing it to the default of 256MB helps users understand the potential performance improvement.

Increased memory allocation allows the workflow to handle more data in memory without needing to rely on slower disk I/O operations. It also provides more resources for compute-intensive tasks, resulting in faster execution times.

Referencing the troubleshooting section for additional performance optimization strategies is a great way to encourage users to explore other techniques and gain a deeper understanding of the platform.

docs-v2/pages/troubleshooting.mdx (1)

249-260: Excellent addition of performance optimization tips!

The new "How can my workflow run faster?" section provides clear and actionable advice for users to improve their workflow performance. The tips cover key areas like resource allocation, response handling, simplification, and cold starts.

The consistent formatting, helpful tone, and links to relevant documentation make these tips easy to understand and implement. Including this section in the troubleshooting guide is a great way to proactively address common performance issues.

docs-v2/pages/workflows/triggers.mdx (1)

298-305: LGTM!

The informational callout provides a helpful tip for reducing workflow latency when handling HTTP requests. Returning a static response directly from the trigger configuration is an effective way to send the HTTP response immediately, without waiting for the remaining workflow steps to execute.

The reference to the "Sources" documentation is also useful for directing users to more detailed information on this topic.


Here are a few things that can help your workflow execute faster:

1. **Increase Memory Allocation:** Increase your [workflow memory](/workflows/settings#memory) to at least 512 MB. Raising the memory limit will proportionally increase CPU resources, leading to improved performance and reduced latency.
Copy link
Contributor

@dylburger dylburger Sep 19, 2024

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

"Increase Memory Allocation" -> "Increase memory"

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Move the colon out of the bold here and in the rest of these sections


1. **Increase Memory Allocation:** Increase your [workflow memory](/workflows/settings#memory) to at least 512 MB. Raising the memory limit will proportionally increase CPU resources, leading to improved performance and reduced latency.

2. **Return Static HTTP Responses:** If your workflow is triggered by an HTTP source, return a [static HTTP response](/workflows/triggers#http-responses) directly from the trigger configuration. This ensures the HTTP response is sent to the caller immediately, before the rest of the workflow steps are executed.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

"Return Static HTTP Responses" -> "Return static HTTP responses". Generally we only capitalize the first words of these sections, or proper nouns or other Pipedream features, but see here how "static" and "responses" should be lowercase.


2. **Return Static HTTP Responses:** If your workflow is triggered by an HTTP source, return a [static HTTP response](/workflows/triggers#http-responses) directly from the trigger configuration. This ensures the HTTP response is sent to the caller immediately, before the rest of the workflow steps are executed.

3. **Simplify Your Workflow:** Reduce the number of [steps](/workflows/steps#code-actions) and [segments](/workflows/control-flow#workflow-segments) in your workflow. This lowers the overhead involved in managing step execution and exports.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Change:

Reduce the number of steps and segments in your workflow

to

Reduce the number of steps and segments in your workflow, combining multiple steps into one, if possible.


3. **Simplify Your Workflow:** Reduce the number of [steps](/workflows/steps#code-actions) and [segments](/workflows/control-flow#workflow-segments) in your workflow. This lowers the overhead involved in managing step execution and exports.

4. **Activate Warm Workers:** Use and increase the number of dedicated workers to [eliminate cold starts](/workflows/settings#eliminate-cold-starts), ensuring your workflow is ready to execute immediately.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Change:

Use and increase the number of dedicated workers to eliminate cold starts, ensuring your workflow is ready to execute immediately.

to:

Use warm workers to reduce the startup time of workflows. Set as many warm workers as you want for high-volume traffic.

@@ -112,6 +112,14 @@ By default, workflows run with {process.env.MEMORY_LIMIT} of memory. If you're p

Increasing your workflow's memory gives you a proportional increase in CPU, so increasing your workflow's memory can reduce its overall runtime and make it more performant.

<Callout type="info">
**Reducing Workflow Latency**
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I would use the same terminology you do in the troubleshooting guide: "How can my workflow run faster?"

<Callout type="info">
**Reducing Workflow Latency**

To reduce latency from the trigger to the end of your workflow, consider increasing the memory allocation to at least 512MB. This will result in significantly better performance compared to the default 256MB.
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

To avoid duplicating the content you have in the troubleshooting guide, maybe just simplify and say:

See our guide on running workflows faster

@@ -295,6 +294,14 @@ By default, when you send a [valid HTTP request](#valid-requests) to your endpoi

When you're processing HTTP requests, you often don't need to issue any special response to the client. We issue this default response so you don't have to write any code to do it yourself.


<Callout type="info">
**Reducing Workflow Latency**
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Same feedback from above here

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants