AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Kafka Streams
Apache Flink
Apache Kafka
Apache Storm
Apache Spark
Apache NiFi
Confluent
KSQL
AWS Lambda Kafka StreamsBased on our record, AWS Lambda seems to be a lot more popular than Kafka Streams. While we know about 297 links to AWS Lambda, we've tracked only 15 mentions of Kafka Streams. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / 2 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / about 2 months ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / about 2 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 3 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 3 months ago
Kafka Streams is a lightweight Java library that runs inside your application, processing events as they flow through Kafka topics. More importantly, it allows us to maintain state locally. - Source: dev.to / 3 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / over 2 years ago
Weโre not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, itโs out of the scope of this article. - Source: dev.to / over 3 years ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. Weโll discuss these at the end of the series. - Source: dev.to / over 3 years ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 3 years ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.