Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.
Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application.
With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications.
Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.
Amazon Kinesis is fully managed and runs your streaming applications without requiring you to manage any infrastructure.
Amazon Kinesis can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies.
Capture, process, and store video streams
Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing.
Capture, process, and store data streams
Amazon Kinesis Data Streams enables you to build custom, real-time applications that process data streams using popular stream processing frameworks.
Load data streams into AWS data stores
Amazon Kinesis Data Firehose is the easiest way to capture, transform, and load data streams into AWS data stores for near real-time analytics with existing business intelligence tools.
Analyze data streams with standard SQL
Amazon Kinesis Data Analytics is the easiest way to process data streams in real time with SQL without having to learn new programming languages or processing frameworks.
Since founding Gunner Technology, Cody has served the company in every aspect of business development and product development.
From a contractor to a partner, Dary has been with Gunner since year 1 and embodies the meritocratic spirit and philosophy of Gunner Technology.
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Mahdi joined Gunner at age 18 and quickly rose through the ranks to become VP of Engineering
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Skyla is Gunner's go-to engineer when it comes to evaluating new tech. She loves evaluating bleeding edge software and teaching her colleagues what she learns.
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Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon.