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Amazon Kinesis
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DevDock's answer:
DevDock brings local software projects, saved commands, Docker environments, database operations, project health, and security checks into one Windows desktop workspace. Each project has a focused view for its overview, commands, run history, databases, security checks, settings, and tools, while the Today view surfaces recent projects and saved daily workflows.
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DevDock is a fit for developers who switch between local codebases and want repeatable project context in one place. It connects registered folders, detected technologies, saved commands, Git and Docker state, database operations, local security findings, and project health checks without requiring repositories to be moved into one folder or uploaded to a service.
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DevDock is primarily for Windows developers who switch between local codebases, work across frontend, backend, mobile, and infrastructure repositories, or want repeatable local setup and project workflows without uploading source code.
Based on our record, Amazon Kinesis seems to be more popular. It has been mentiond 28 times since March 2021. 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.
High-throughput Kinesis or Kafka consumers where processing latency compounds. - Source: dev.to / 4 months ago
Step 4 Examine the compute usage and identify suitable services and workloads. Services like EKS, OpenSearch, CloudWatch, Kinesis, and Firehose suggest stateless/fault-tolerant/bath-oriented workloads suitable for Spot Instances. Therefore EKS worker nodes, data processing jobs, CI/CD workloads or OpenSearch indexing tasks can be migrated to Spot. - Source: dev.to / about 1 year ago
Real-Time Processing โ With Amazon Kinesis and Amazon DynamoDB, fintech firms can analyze transactions instantly, identify fraud before it happens. - Source: dev.to / over 1 year ago
Amazon Kinesis is a fully managed real-time data streaming service by AWS, designed for large-scale data ingestion and processing. - Source: dev.to / almost 2 years ago
Https://aws.amazon.com/kinesis/ > Amazon Kinesis Data Streams is a serverless streaming data service that simplifies the capture, processing, and storage of data streams at any scale. I'd never heard of that one. - Source: Hacker News / about 2 years ago
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Docker Desktop - Docker Desktop is a one-click-install application that lets you to build, share, and run containerized applications and microservices.
PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.