AWS Step Functions VS Apache Spark

AWS Step Functions Reviews

Apache Spark Reviews

AWS Step Functions mentions (57)

• Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)

  There are a few ways to solve this of course but one solution I wanted to explore is using AWS Step Functions (https://aws.amazon.com/step-functions/) to drive the whole process. Step Functions is a serverless workflow orchestration system. One part of it is support for a distributed map mode where you can run many parallel operations over a set of data. There are different approaches you can use to get the list... - Source: dev.to / 3 months ago

• The Energy Drink Episodes 3: The Step Function Awakens

  If you have ever spoken to me, read anything I've written or listened to any talks I’ve done in relation to Serverless or infrastructure as code, there is a high likelihood that I have confessed my love for Step Functions. Even when unprompted. Putting my biases aside, however, there are some legitimate reasons we can consider using them in our app. If you are new to Step Functions or just fancy a refresher, have... - Source: dev.to / 5 months ago

• Testing Serverless Applications on AWS

  For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago

• Customizing error handling in Step Functions

  If we have to coordinate multiple function calls, we can use AWS Step Functions to orchestrate the workflow. Step Functions integrates with many other AWS services, but here I'll focus on Lambda functions. - Source: dev.to / 12 months ago

• Amazon Ditches Microservices for Monolith: Decoding Prime Video's Architectural Shift

  Amazon's tool was broken into three main components: the media converter, defect detectors, and orchestration. The media converter ran as an AWS Lambda function, converted audio and video streams, and stored the data in an S3 bucket. The defect detectors, also running as an AWS Lambda function, would pull the parsed data from the S3 bucket and analyze the frames and audio for any issues. Finally, the orchestration... - Source: dev.to / 12 months ago

Apache Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago