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【Step Functionsで通知基盤を構築し、通知失敗時のリトライと可視化を実現】 #AWSStepFunctions #findy_tools 🔗findy-tools.io/products/aws-…
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【「通知が届かない」は致命傷。マルチプロダクト時代の通知基盤にStep Functionsを選んだ理由】 #AWSStepFunctions #findy_tools 🔗findy-tools.io/products/aws-…
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When using #AWSStepFunctions, don't forget a healthy side of #JSONata! Here is an example of reducing transitions. $states.result.Items[type.S = 'CSAT'].csatEvent.S ~> $map(function($v) {$number($v)}) ~> $average ~> $round(2) This query is calculating the average CSAT (Customer Satisfaction) score for an event, rounded to 2 decimal places. Let's break it down: 1. $states.result.Items - Starts by accessing the Items array within the result object of the states variable. 2. [type.S = 'CSAT'] - Filters the Items array to only include elements where the type.S attribute equals 'CSAT'. 3. .csatEvent.S - From the filtered items, extracts the S (string) attribute of csatEvent. This creates an array of CSAT string values. 4. ~> $map(function($v) {$number($v)}) - The ~> is a "pipeline" operator that passes the result to the next function. Here, it maps each string value to a number using the $number function, converting the array of strings to an array of numbers. 5. ~> $average - Calculates the average of all the numeric CSAT values. 6. ~> $round(2) - Rounds the average to 2 decimal places.
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Tip for #GenAI in #AWSStepFunctions. By using a pass state to format the input and the Bedrock Converse task, I can easily add multiple models to compare outputs. In the converse task, I simply change the desired model.
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30 Jan 2025
Replying to @jeffrigby
Love this!!! Yeah, I am super happy with #JSONata and the implementation in #AWSStepFunctions. Soooo powerful.
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2 Dec 2024
First session at #reInvent2024 is done! Thank you to all who attended my API402 session on Advanced workflows with #AWSStepFunctions!
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Next up is Chloe, Senior Software Engineer at Hamilton Robson. @ChloeMcAteer3 is an active member of the AWS Community Builder and is also a former Belfast City Lead for Women Who Code. Chloe will be walking us through how to Simplifying Complex Workflows with #AWSStepFunctions
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What a great start to the day! AWS Step Functions now support restarting the workflow from the point of failure. I can't wait to review my existing workflows and see how to use this new feature! 😄 #aws #awsstepfunctions aws.amazon.com/about-aws/wha…
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Last talk of the day on track 2! @TheLeePriest being a 🌟 double superstar 🌟 and taking the stage once again to talk about his favourite subject #awsstepfunctions in the context of Loyalty orders! What a treat! #serverless #aws #awscommunity
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🗞️ The new issue of The Serverless Terminal #39 is here! 🗞️ theserverlessterminal.com/p/… This issue is celebrating the new error handling enhancements from #AWSStepFunctions and shout out to the pick of the month being @dynamodb Streams.
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13 Sep 2023
🚀 Top Tip: Try AWS Step Functions for unit testing asynchronous #serverless apps. Add the workflow to your GitHub PRs for pre-merge testing! use actions to poll for success or failure, gracefully catch errors, and visualize the path taken. 🤯💼 #AWSStepFunctions #GitActions
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Some great tips for making your #AWSStepFunctions run smoothly from Lizzie Hard #serverless bit.ly/3szJKwC

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A practical example using #AWSStepFunctions to orchestrate the flow of a #serverless application on #AWS. bit.ly/3EfjL02

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A good example of using #AWSStepFunctions and #EventBridge for a #serverless application. bit.ly/45Ep6cW

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