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Amazon Kinesis Data Firehose now supports zero buffering
Posted On: Dec 26, 2023With zero buffering, customers can deliver data to Amazon S3, Amazon OpenSearch Service, Amazon Redshift, and third-party HTTP destinations within seconds enabling real time use cases.
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Amazon Kinesis Data Firehose supports delivery of decompressed CloudWatch Logs to destinations
Posted On: Dec 15, 2023Amazon Kinesis Data Firehose now delivers decompressed CloudWatch Logs to S3 and Splunk destinations.
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Amazon Kinesis Video Streams WebRTC Ingestion is now generally available
Posted On: Nov 8, 2023Amazon Kinesis Video Streams now offers fully managed capabilities to stream video and audio in real-time from Web Real-time Communication (WebRTC) standards compliant cameras, IoT devices and browsers to the cloud for secure storage, playback and analytical processing. Customers can now use our enhanced WebRTC SDK and cloud APIs to enable real-time streaming as well as media ingestion to the cloud.
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Amazon Kinesis Data Streams announces Amazon EventBridge Pipes console integration
Posted On: Nov 3, 2023Today, Amazon Kinesis Data Streams announces an integration with Amazon EventBridge Pipes in the Kinesis Data Streams service console, making it easier to send records from your stream to one of over 14 AWS service targets, including Amazon SQS, AWS Step Functions, Amazon SNS, Amazon ECS, Amazon EventBridge event buses, or another Kinesis Data Stream. The EventBridge Pipes integration also supports the EventBridge API Destinations target which uses API calls to send your Kinesis Data Stream records to software as a service (SaaS) applications or your own applications within or outside AWS.
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Amazon Kinesis Data Streams increases On-Demand write throughput limit to 2 GB/s
Posted On: Oct 30, 2023Amazon Kinesis Data Streams now supports On-Demand write throughput limit of 2 GB/s, a 2x increase from the current limit of 1 GB/s. Amazon Kinesis Data Streams is a serverless streaming data service that makes it easier to capture, process, and store streaming data at any scale. On-Demand is a capacity mode for Kinesis Data Streams that automates capacity management, so that you never have to provision and manage the scaling of resources. It requires you to pay for throughput consumed rather than for provisioned resources, making it easier to balance costs and performance while providing the same availability, durability, and integrations. You can create a new On-Demand data stream or convert an existing data stream into the On-Demand mode with a single-click without requiring any code changes or downtime for your existing applications.
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Amazon Chime SDK now supports sending WebRTC audio to Amazon Kinesis Video Streams
Posted On: Sep 26, 2023Amazon Chime SDK media pipelines now enable the sending of Amazon Chime SDK WebRTC audio to Amazon Kinesis Video Streams. With the Amazon Chime SDK, developers can add real-time audio, video, and screen share to their web and mobile applications. Sending WebRTC session audio to Amazon Kinesis Video Streams provides developers access to the audio for live analysis during the session.
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Amazon Kinesis Data Firehose is now available in Israel (Tel Aviv) AWS Region
Posted On: Aug 1, 2023Starting today, customers can use Amazon Kinesis Data Firehose in the Israel (Tel Aviv) AWS Region.
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Amazon Kinesis Video Streams Edge Agent is now generally available
Posted On: Jun 29, 2023We are announcing the general availability of the Amazon Kinesis Video Streams Edge Agent. This feature offers a simple, efficient, and cost-effective way to connect to IP cameras on customer premises, locally record and store video from those cameras, and stream videos to the cloud on a customer-defined schedule for long term storage, playback, and analytical processing.
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Amazon Kinesis Data Analytics Studio now supports Apache Flink version 1.15
Posted On: Jun 28, 2023Customers can now use Apache Flink 1.15 with Amazon Kinesis Data Analytics Studio to perform ad hoc queries to quickly inspect data streams and build and run stream processing applications in minutes.
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Amazon Kinesis Data Firehose adds support for data stream delivery to Amazon Redshift Serverless
Posted On: Jun 19, 2023Amazon Kinesis Data Firehose can now deliver streaming data to Amazon Redshift Serverless. With few clicks, you can more easily ingest, transform, and reliably deliver streaming data into Amazon Redshift Serverless without building and managing your own data ingestion and delivery infrastructure. Kinesis Data Firehose is a fully managed service that automatically scales to match the throughput of your data and without ongoing administration.
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Amazon Kinesis Data Firehose adds support for document ID that is auto-generated by Amazon OpenSearch Service
Posted On: May 11, 2023Amazon Kinesis Data Firehose customers can now send data to Amazon OpenSearch Service using OpenSearch Service auto-generated document ID option. This configuration option enables write-heavy operations, such as log analytics and observability, to consume fewer CPU resources at the OpenSearch domain, resulting in improved performance.
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Amazon Kinesis Data Firehose is now available in Asia Pacific (Melbourne) AWS Region
Posted On: Mar 13, 2023Starting today, customers can use Amazon Kinesis Data Firehose in the Asia Pacific (Melbourne) AWS Region.
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Amazon Kinesis Data Streams increases On-Demand write throughput limit to 1 GB/s
Posted On: Mar 1, 2023Amazon Kinesis Data Streams now supports an increased On-Demand write throughput limit to 1 GB/s, a 5x increase from the current limit of 200 MB/s. Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store streaming data at any scale. On-Demand is a capacity mode for Kinesis Data Streams that automates capacity management, so that you never have to provision and manage the scaling of resources. In the On-Demand mode you pay for throughput consumed rather than for provisioned resources, making it easier to balance costs and performance.
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Amazon Kinesis Data Analytics is now available in the Middle East (UAE) region
Posted On: Feb 20, 2023Amazon Kinesis Data Analytics makes it easier to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Opensearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors. You can learn more about Amazon Kinesis Data Analytics for Apache Flink here.
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Amazon Kinesis Data Streams for Amazon DynamoDB now supports AWS CloudFormation for Global Tables
Posted On: Feb 15, 2023Amazon Kinesis Data Streams for Amazon DynamoDB now supports AWS CloudFormation for DynamoDB global tables, which means you can enable streaming to an Amazon Kinesis data stream on your DynamoDB global tables with CloudFormation templates. By streaming your DynamoDB data changes to a Kinesis data stream, you can build advanced streaming applications with Amazon Kinesis services. For example, Amazon Kinesis Data Analytics reduces the complexity of building, managing, and integrating with Apache Flink and provides built-in functions to filter, aggregate, and transform streaming data for advanced analytics. You also can use Amazon Kinesis Data Firehose to take advantage of managed streaming delivery of DynamoDB table data to other AWS services such as Amazon OpenSearch Service, Amazon Redshift, and Amazon S3.
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Amazon Kinesis Video Streams announces edge recording and scheduled cloud streaming capabilities (preview)
Posted On: Dec 14, 2022Amazon Kinesis Video Streams now offers a simple, efficient and cost-effective way to connect to IP cameras on customer premises, locally record and store video from those cameras, and stream videos to the cloud on a customer defined schedule for long term storage, playback and analytical processing.
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Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15
Posted On: Nov 22, 2022Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15. This new version includes improvements to Flink's exactly-once processing semantics, Kinesis Data Streams and Kinesis Data Firehose connectors, Python User Defined Functions, Flink SQL, and more. The release also includes an AWS-contributed capability, a new Async-Sink framework which simplifies the creation of custom sinks to deliver processed data. For a complete list of features, improvements, and bug fixes please see the Apache Flink release notes for 1.15.
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Amazon Kinesis Data Firehose is now available in the Middle East (UAE) AWS region
Posted On: Nov 4, 2022Amazon Kinesis Data Firehose makes it easier to reliably load streaming data into data lakes, data stores, and analytics services. You can use it to capture, transform, and deliver streaming data to Amazon S3, Amazon Redshift, Amazon OpenSearch, and third party providers like Splunk and Datadog, enabling near real-time analytics.
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Amazon Kinesis Data Streams adds capability to easily inspect data records in AWS Management Console
Posted On: Oct 31, 2022Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store streaming data at massive scale. Data Viewer is a new capability for Amazon Kinesis Data Streams that allows viewing data records directly from AWS Management Console. As a result, you can easily inspect the data records without programming a dedicated consumer app just to view the data, quickly check the data structure of an unfamiliar stream, or query specific records for QA and troubleshooting.
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Amazon Kinesis Data Analytics for Apache Flink supports three new container level metrics and improved CloudFormation support
Posted On: Sep 9, 2022Amazon Kinesis Data Analytics for Apache Flink now publishes three new container-level metrics to Amazon CloudWatch: CPU Utilization, Memory Utilization, and Disk Utilization of Flink Task Managers. Task Managers are the worker nodes of a Flink application that perform the data processing. These new metrics provide enhanced visibility to Task Manager resource usage and can be used to easily scale applications running on Kinesis Data Analytics.
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Amazon Virtual Private Cloud (VPC) Flow Logs can now be delivered to Amazon Kinesis Firehose
Posted On: Sep 8, 2022You can now deliver Amazon Virtual Private Cloud (VPC) Flow Logs directly to Amazon Kinesis Firehose, allowing you to stream your flow logs real-time to destinations supported by Amazon Kinesis Firehose or downstream logging solutions via custom HTTP endpoints.
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Amazon Kinesis Data Analytics is now FedRAMP compliant
Posted On: May 23, 2022Amazon Kinesis Data Analytics is now authorized as FedRAMP Moderate in US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon) and as FedRAMP High in AWS GovCloud (US-West) and AWS GovCloud (US-East).
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Amazon Kinesis Data Firehose is now available in the Asia Pacific (Jakarta) AWS Region
Posted On: May 6, 2022Amazon Kinesis Data Firehose is now available in the Asia Pacific (Jakarta) AWS Region.
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Amazon Kinesis Data Firehose now delivers to Honeycomb
Posted On: Jan 28, 2022Amazon Kinesis Data Firehose now supports streaming data delivery to Honeycomb, enabling Honeycomb users to ingest streaming data without having to manage applications or write code.
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Amazon Kinesis Data Analytics is now available in the Asia Pacific (Osaka) and Africa (Cape Town) regions.
Posted On: Dec 9, 2021Amazon Kinesis Data Analytics is now available in the Asia Pacific (Osaka) and Africa (Cape Town) regions.
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Introducing Dynamic Partitioning in Amazon Kinesis Data Firehose
Posted On: Aug 31, 2021Today we announced Dynamic Partitioning in Amazon Kinesis Data Firehose. With Dynamic Partitioning, you can continuously partition streaming data in Kinesis Data Firehose using keys within data like “customer_id” or “transaction_id” and deliver data grouped by these keys into corresponding Amazon Simple Storage Service (Amazon S3) prefixes, making it easier for you to run high performance, cost-efficient analytics on streaming data in Amazon S3 using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
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Amazon Kinesis Data Analytics now supports RollbackApplication, ListApplicationVersions, and DescribeApplicationVersion APIs in preview
Posted On: May 11, 2021Amazon Kinesis Data Analytics for Apache Flink now supports three new application management APIs in preview. RollbackApplication allows you to restore your application to the last running version and application state from the most recent, successful snapshot. ListApplicationVersions allows you to get all application versions and a summary of the associated configurations. DescribeApplicationVersion gives you the most comprehensive view of the application configuration of a particular version.
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Amazon Kinesis Data Analytics for Apache Flink introduces custom maintenance windows in preview
Posted On: Apr 30, 2021Amazon Kinesis Data Analytics for Apache Flink now supports UpdateApplicationMaintenanceConfiguration in preview. Amazon Kinesis Data Analytics periodically patches the underlying infrastructure of applications with OS and container-image security updates to meet AWS compliance and security goals during the default maintenance windows in each region. You can use UpdateApplicationMaintenanceConfiguration via the CLI or the API to choose your preferred maintenance window start times for an application.
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Announcing Amazon CloudWatch Metric Streams
Posted On: Mar 31, 2021Announcing Amazon CloudWatch Metric Streams - a new feature that enables customers to create a continuous, near real-time stream of metrics to a destination of their choice.
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Amazon Kinesis Data Analytics now supports Python with Apache Flink v1.11
Posted On: Mar 25, 2021Amazon Kinesis Data Analytics for Apache Flink now supports streaming applications built using Python version 3.7. This enables you to write streaming applications in the Python language and run them using Apache Flink v1.11 on Amazon Kinesis Data Analytics. Apache Flink v1.11 offers support for Python through the Table API, which is a unified, relational API for data processing.
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Amazon SNS adds support for message archiving and analytics via Kinesis Data Firehose subscriptions
Posted On: Jan 12, 2021You can now use Amazon Simple Notification Service (SNS) to deliver messages to Amazon Kinesis Data Firehose. This new subscription type for SNS enables message storage, analytics, and auditing by providing a simple way to send Amazon SNS messages to data lakes, data stores, and analytics services.