Explore Amazon Connect, from implementing call flows and creating AI bots to integrating artificial intelligence solutions and analyzing critical customer sentiment Key FeaturesDiscover how to integrate chat with Connect to allow organizations to reduce operations costsLeverage machine learning to perform natural language processing (NLP) for analyzing customer feedback and trendsLearn how to integrate your enterprise application with Amazon ConnectBook Description Amazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon's customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration. Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics. By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX). What you will learnBecome well-versed with the capabilities and benefits of Amazon ConnectDetermine cost-effective solutions by integrating Connect with AWSCreate, modify, and connect contact flows to improve efficiencyBuild a conversational interface with Amazon LexFind out how to transfer contact records out of Connect via KinesisGather user insights and improve business operations with Amazon QuickSightAnalyze customer-agent conversations with ML speech analytics capabilitiesDiscover ways to provide superior customer service at a lower costWho this book is for This Amazon Connect book is for anyone looking to save costs and improve their customer experience through a more advanced call center using Amazon Connect and other AWS capabilities. A technical understanding of Amazon Web Services (AWS) and beginner-level business administration experience are necessary to address cost concerns and risks.

Explore Amazon Connect, from implementing call flows and creating AI bots to integrating artificial intelligence solutions and analyzing critical customer sentiment Key FeaturesDiscover how to integrate chat with Connect to allow organizations to reduce operations costsLeverage machine learning to perform natural language processing (NLP) for analyzing customer feedback and trendsLearn how to integrate your enterprise application with Amazon ConnectBook Description Amazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon's customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration. Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics. By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX). What you will learnBecome well-versed with the capabilities and benefits of Amazon ConnectDetermine cost-effective solutions by integrating Connect with AWSCreate, modify, and connect contact flows to improve efficiencyBuild a conversational interface with Amazon LexFind out how to transfer contact records out of Connect via KinesisGather user insights and improve business operations with Amazon QuickSightAnalyze customer-agent conversations with ML speech analytics capabilitiesDiscover ways to provide superior customer service at a lower costWho this book is for This Amazon Connect book is for anyone looking to save costs and improve their customer experience through a more advanced call center using Amazon Connect and other AWS capabilities. A technical understanding of Amazon Web Services (AWS) and beginner-level business administration experience are necessary to address cost concerns and risks.

Explore Kinesis managed services such as Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and Kinesis Video Streams with the help of practical use cases Key FeaturesGet well versed with the capabilities of Amazon KinesisExplore the monitoring, scaling, security, and deployment patterns of various Amazon Kinesis servicesLearn how other Amazon Web Services and third-party applications such as Splunk can be used as destinations for Kinesis dataBook Description Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA). What you will learnGet to grips with data streams, decoupled design, and real-time stream processingUnderstand the properties of KFH that differentiate it from other Kinesis servicesMonitor and scale KDS using CloudWatch metricsSecure KDA with identity and access management (IAM)Deploy KVS as infrastructure as code (IaC)Integrate services such as Redshift, Dynamo Database, and Splunk into KinesisWho this book is for This book is for solutions architects, developers, system administrators, data engineers, and data scientists looking to evaluate and choose the most performant, secure, scalable, and cost-effective data streaming technology to overcome their data ingestion and processing challenges on AWS. Prior knowledge of cloud architectures on AWS, data streaming technologies, and architectures is expected.

Ask questions of your data and gain insights to make better business decisions using the open source business intelligence tool, Metabase Key FeaturesDeploy Metabase applications to let users across your organization interact with itLearn to create data visualizations, charts, reports, and dashboards with the help of a variety of examplesUnderstand how to embed Metabase into your website and send out reports automatically using email and SlackBook Description Metabase is an open source business intelligence tool that helps you use data to answer questions about your business. This book will give you a detailed introduction to using Metabase in your organization to get the most value from your data. You’ll start by installing and setting up Metabase on your local computer. You’ll then progress to handling the administration aspect of Metabase by learning how to configure and deploy Metabase, manage accounts, and execute administrative tasks such as adding users and creating permissions and metadata. Complete with examples and detailed instructions, this book shows you how to create different visualizations, charts, and dashboards to gain insights from your data. As you advance, you’ll learn how to share the results with peers in your organization and cover production-related aspects such as embedding Metabase and auditing performance. Throughout the book, you’ll explore the entire data analytics process—from connecting your data sources, visualizing data, and creating dashboards through to daily reporting. By the end of this book, you’ll be ready to implement Metabase as an integral tool in your organization. What you will learnExplore different types of databases and find out how to connect them to MetabaseDeploy and host Metabase securely using Amazon Web ServicesUse Metabase’s user interface to filter and aggregate data on single and multiple tablesBecome a Metabase admin by learning how to add users and create permissionsAnswer critical questions for your organization by using the Notebook editor and writing SQL queriesUse the search functionality to search through tables, dashboards, and metricsWho this book is for This book is for business analysts, data analysts, data scientists, and other professionals who want to become well-versed with business intelligence and analytics using Metabase. This book will also appeal to anyone who wants to understand their data to extract meaningful insights with the help of practical examples. A basic understanding of data handling and processing is necessary to get started with this book.

Updated to cover Docker version 1.10 Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflow—and getting the integration details right—are not trivial tasks. With this practical guide, you’ll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production. Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced. Learn how Docker simplifies dependency management and deployment workflow for your applications Start working with Docker images, containers, and command line tools Use practical techniques to deploy and test Docker-based Linux containers in production Debug containers by understanding their composition and internal processes Deploy production containers at scale inside your data center or cloud environment Explore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

Achieve success in your AWS Certified Advanced Networking - Specialty ANS-C01 Exam on the first try with our new and exclusive preparation book. This comprehensive resource is designed to help you test your knowledge, providing a collection of the latest questions with detailed explanations and official references. Save both time and money by investing in this book, which covers all the topics included in the AWS Certified Advanced Networking - Specialty ANS-C01 exam. This book includes two full-length, highly important practice tests, each with 65 questions, for a total of 130 questions. It also provides detailed explanations for each question and official reference links. Dedicate your effort to mastering these AWS Certified Advanced Networking - Specialty ANS-C01 exam questions, as they offer up-to-date information on the entire exam syllabus. This book is strategically crafted to not only assess your knowledge and skills but also to boost your confidence for the real exam. With a focus on thorough preparation, passing the official AWS Certified Advanced Networking - Specialty ANS-C01 Exam on your first attempt becomes achievable through diligent study of these valuable resources. The AWS Certified Advanced Networking - Specialty (ANS-C01) exam has a total of 65 questions. However, there's a breakdown to consider: 50 scored questions: These questions directly affect your pass/fail outcome. 15 unscored questions: These are used by AWS to evaluate potential future exam questions and don't influence your score. So, while you'll see 65 questions during the exam, only 50 of them will determine if you pass. The exam has the following content domains and weightings: • Domain 1: Network Design (30% of scored content) • Domain 2: Network Implementation (26% of scored content) • Domain 3: Network Management and Operation (20% of scored content) • Domain 4: Network Security, Compliance, and Governance (24% of scored content) Welcome!

Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform. Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers. Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt Stack Use Terraform to deploy server clusters, load balancers, and databases Learn how Terraform manages the state of your infrastructure and how it impacts file layout, isolation, and locking Create reusable infrastructure with Terraform modules Try out advanced Terraform syntax to implement loops, if-statements, and zero-downtime deployment Use Terraform as a team, including best practices for writing, testing, and versioning Terraform code