Top aws kinesis for 2019
If you looking for aws kinesis then you are right place. We are searching for the best aws kinesis on the market and analyze these products to provide you the best choice.
If you looking for aws kinesis then you are right place. We are searching for the best aws kinesis on the market and analyze these products to provide you the best choice.
Best aws kinesis
1. Amazon Web Services in Action
Feature
Manning PublicationsDescription
Summary
Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The book will teach you about the most important services on AWS. You will also learn about best practices regarding automation, security, high availability, and scalability.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Physical data centers require lots of equipment and take time and resources to manage. If you need a data center, but don't want to build your own, Amazon Web Services may be your solution. Whether you're analyzing real-time data, building software as a service, or running an e-commerce site, AWS offers you a reliable cloud-based platform with services that scale. All services are controllable via an API which allows you to automate your infrastructure.
About the Book
Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The book will teach you about the most important services on AWS. You will also learn about best practices regarding security, high availability and scalability.You'll start with a broad overview of cloud computing and AWS and learn how to spin-up servers manually and from the command line. You'll learn how to automate your infrastructure by programmatically calling the AWS API to control every part of AWS. You will be introduced to the concept of Infrastructure as Code with the help of AWS CloudFormation.You will learn about different approaches to deploy applications on AWS. You'll also learn how to secure your infrastructure by isolating networks, controlling traffic and managing access to AWS resources. Next, you'll learn options and techniques for storing your data. You will experience how to integrate AWS services into your own applications by the use of SDKs. Finally, this book teaches you how to design for high availability, fault tolerance, and scalability.
What's Inside
- Overview of cloud concepts and patterns
- Manage servers on EC2 for cost-effectiveness
- Infrastructure automation with Infrastructure as Code (AWS CloudFormation)
- Deploy applications on AWS
- Store data on AWS: SQL, NoSQL, object storage and block storage
- Integrate Amazon's pre-built services
- Architect highly available and fault tolerant systems
About the Reader
Written for developers and DevOps engineers moving distributed applications to the AWS platform.
About the Authors
Andreas Wittig and Michael Wittig are software engineers and consultants focused on AWS and web development.
Table of Contents
- What is Amazon Web Services?
- A simple example: WordPress in five minutes
- Using virtual servers: EC2
- Programming your infrastructure: the command line, SDKs, and CloudFormation
- Automating deployment: CloudFormation, Elastic Beanstalk, and OpsWorks
- Securing your system: IAM, security groups, and VPC
- Storing your objects: S3 and Glacier
- Storing your data on hard drives: EBS and instance store
- Using a relational database service: RDS
- Programming for the NoSQL database service: DynamoDB
- Achieving high availability: availability zones, auto-scaling, and CloudWatch
- Decoupling your infrastructure: ELB and SQS
- Designing for fault-tolerance
- Scaling up and down: auto-scaling and CloudWatch
PART 1 GETTING STARTED
PART 2 BUILDING VIRTUAL INFRASTRUCTURE WITH SERVERS AND NETWORKING
PART 3 STORING DATA IN THE CLOUD
PART 4 ARCHITECTING ON AWS
2. Serverless Architectures on AWS
Description
Serverless Architectures on AWS, Second Edition teaches you how to design, secure, and manage serverless backend APIs for web and mobile applications on the AWS platform. You'll get going quickly with this book's relevant real-world examples, code listings, diagrams, and clearly-described architectures that you can readily apply to your own work. You'll master serverless systems using AWS Lambda and the myriad other services on the AWS platform.
This new edition has been fully updated to reflect the newest serverless design best practices and changes to AWS. It features two entirely new chapters dedicated to DevOps, monitoring, and microservices, as well as working with DynamoDB, GraphQL and Kinesis.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
3. Amazon Kinesis Data Streams Developer Guide
Description
Use Amazon Kinesis Data Streams to collect and process large streams of data records in real time.
You'll create data-processing applications, known as Amazon Kinesis Data Streams applications. A typical Amazon Kinesis Data Streams application reads data from a Kinesis data stream as data records. These applications can use the Kinesis Client Library, and they can run on Amazon EC2 instances. The processed records can be sent to dashboards, used to generate alerts, dynamically change pricing and advertising strategies, or send data to a variety of other AWS services. For information about Kinesis Data Streams features and pricing, see Amazon Kinesis Data Streams.
4. Amazon Kinesis Firehose Developer Guide
Description
Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. Kinesis Data Firehose is part of the Kinesis streaming data platform, along with Kinesis Streams and Amazon Kinesis Data Analytics. With Kinesis Data Firehose, you don't need to write applications or manage resources. You configure your data producers to send data to Kinesis Data Firehose, and it automatically delivers the data to the destination that you specified. You can also configure Kinesis Data Firehose to transform your data before delivering it.
5. Amazon Kinesis Video Streams Developer Guide
Description
Amazon Kinesis Video Streams is a fully managed AWS service that you can use to stream live video from devices to the AWS Cloud, or build applications for real-time video processing or batch-oriented video analytics.
Kinesis Video Streams isn't just storage for video data. You can use it to watch your video streams in real time as they are received in the cloud. You can either monitor your live streams in the AWS Management Console, or develop your own monitoring application that uses the Kinesis Video Streams API library to display live video.
You can use Kinesis Video Streams to capture massive amounts of live video data from millions of sources, including smartphones, security cameras, webcams, cameras embedded in cars, drones, and other sources. You can also send non-video time-serialized data such as audio data, thermal imagery, depth data, RADAR data, and more. As live video streams from these sources into a Kinesis video stream, you can build applications that can access the data, frame-by-frame, in real time for low-latency processing. Kinesis Video Streams is source-agnostic; you can stream video from a computer's webcam using the GStreamer library, or from a camera on your network using RTSP.
6. Amazon Kinesis Data Analytics Developer Guide
Description
With Amazon Kinesis Data Analytics, you can process and analyze streaming data using standard SQL. The service enables you to quickly author and run powerful SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics.
To get started with Kinesis Data Analytics, you create a Kinesis data analytics application that continuously reads and processes streaming data. The service supports ingesting data from Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose streaming sources. Then, you author your SQL code using the interactive editor and test it with live streaming data. You can also configure destinations where you want Kinesis Data Analytics to send the results.
Kinesis Data Analytics supports Amazon Kinesis Data Firehose (Amazon S3, Amazon Redshift, and Amazon Elasticsearch Service), AWS Lambda, and Amazon Kinesis Data Streams as destinations.
7. AWS DeepLens - Deep learning enabled video camera for developers
Feature
Deep learning in your hands - A fully programmable video camera designed to expand deep learning skills.Start learning right away - Learn the basics of deep learning through example projects, computer vision models, tutorials, and real world, hands-on exploration on a physical device.
A new way to learn machine learning - Allows developers of all skill levels get started with deep learning in less than 10 minutes.
Sample projects - AWS DeepLens can run custom models from Amazon SageMaker, and comes with a collection of pre-trained models ready to run on the device with a single click.
Fully programmable - Easy to customize and is fully programmable using AWS Lambda providing a familiar programming environment for developers to experiment with.
Integrated with AWS - Stream video back to AWS using Amazon Kinesis Video Streams, and apply more advanced video analytics using Amazon Rekognition Video. The device also connects securely to AWS IoT, Amazon SQS, Amazon SNS, Amazon S3, Amazon DynamoDB, and more.
Build custom models with Amazon SageMaker - New custom models trained in Amazon SageMaker can be sent to AWS DeepLens with just a few clicks from the AWS Management Console.
Broad framework support - Run any deep learning framework, including TensorFlow and Caffe. AWS DeepLens comes pre-installed with a high performance, efficient, optimized inference engine for deep learning using Apache MXNet.