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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.
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.
Unlock unparalleled technical depth with this book, expertly integrating the proven methodologies of Tutorials Dojo, the insights of Adrian Cantrill, and the hands-on approach of AWS Skills Builder. Unlock success with 'Ace the AWS Solutions Architect Associates SAA-C03 Certification Exam' by Etienne Noumen. With over 20 years in Software Engineering and a deep 5-year dive into AWS Cloud, Noumen delivers an unmatched guide packed with Quizzes, Flashcards, Practice Exams, and invaluable CheatSheets. Learn firsthand from testimonials of triumphs and recoveries, and master the exam with exclusive tips and tricks. This comprehensive roadmap is your ultimate ticket to acing the SAA-C03 exam! Become stronger in your current role or prepare to step into a new one by continuing to build the cloud solutions architecture skills companies are begging for right now. Demand for cloud solutions architect proficiency is only set to increase, so you can expect to see enormous ROI on any cloud learning efforts you embark on. What will you learn in this book? Design Secure Architectures Design Resilient Architectures Design High-Performing Architectures Design Cost-Optimized Architectures What are the requirements or prerequisites for reading this book? The target candidate should have at least 1 year of hands-on experience designing cloud solutions that use AWS services Who is this book for? IT Professionals, Solutions Architect, Cloud enthusiasts, Computer Science and Engineering Students, AWS Cloud Developer, Technology Manager and Executives, IT Project Managers What is taught in this book? AWS Certification Preparation for Solutions Architecture – Associate Level Keywords: AWS Solutions Architect SAA-C03 Certification Etienne Noumen AWS Cloud expertise Practice Exams AWS Flashcards AWS CheatSheets Testimonials Exam preparation AWS exam tips Cloud Engineering Certification guide AWS study guide Solutions Architect Associates Exam success strategies The book contains several testimonials like the one below: Successfully cleared the AWS Solutions Architect Associate SAA-C03 with a score of 824, surpassing my expectations. The exam presented a mix of question difficulties, with prominent topics being Kinesis, Lakeformation, Big Data tools, and S3. Given the declining cybersecurity job market in Europe post-2021, I'm contemplating a transition to cloud engineering. For preparation, I leveraged Stephane Mareek's course, Tutorial dojo's practice tests, and flashcards. My manager also shared his AWS skill builder account. Post evaluation, I found Mareek's practice tests to be outdated and more challenging than required, with his course delving too deeply into some areas. In contrast, Tutorial dojo's materials were simpler. My scores ranged from 65% on Mareek's tests to 75-80% on Tutorial dojo, with a 740 on the official AWS practice test. Sharing this for those on a similar journey. Sample Questions and Detailed Answers included: Latest AWS SAA Practice Exam - Question 1: A web application hosted on AWS uses an EC2 instance to serve content and an RDS MySQL instance for database needs. During a performance audit, you notice frequent read operations are causing performance bottlenecks. To optimize the read performance, which of the following strategies should you implement? (Select TWO.) A. Deploy an ElastiCache cluster to cache common queries and reduce the load on the RDS instance. B. Convert the RDS instance to a Multi-AZ deployment for improved read performance. C. Use RDS Read Replicas to offload read requests from the primary RDS instance. D. Increase the instance size of the RDS database to a larger instance type with more CPU and RAM. E. Implement Amazon Redshift to replace RDS for improved read and write operation performance. Correct Answer: A. Deploy an ElastiCache cluster to cache common queries and reduce the load on the RDS instance. C. Use RDS Read Replicas to offload read requests from the primary RDS instance. Explanation: Amazon RDS Read Replicas provide a way to scale out beyond the capacity of a single database deployment for read-heavy database workloads. You can create one or more replicas of a source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Reference: Amazon RDS Read Replicas Latest AWS SAA Practice Exam - Question 2: Secure RDS Access with IAM Authentication A financial application suite leverages an ensemble of EC2 instances, an Application Load Balancer, and an RDS instance poised in a Multi-AZ deployment. The security requisites dictate that the RDS database be exclusively accessible to authenticated EC2 instances, preserving the confidentiality of customer data. The Architect must choose a security mechanism that aligns with AWS best practices and ensures stringent access control. What should the Architect implement to satisfy these security imperatives? Enable IAM Database Authentication for the RDS instance. Implement SSL encryption to secure the database connections. Assign a specific IAM Role to the EC2 instances granting RDS access. Utilize IAM combined with STS for restricted RDS access with a temporary credentialing system. Correct Answer: A. Enable IAM Database Authentication for the RDS instance. Here's the detailed explanation and reference link for the answer provided: Enable IAM Database Authentication for the RDS instance. IAM database authentication is used to control who can connect to your Amazon RDS database instances. When IAM database authentication is enabled, you don’t need to use a password to connect to a DB instance. Instead, you use an authentication token issued by AWS Security Token Service (STS). IAM database authentication works with MySQL and PostgreSQL. It provides enhanced security because the authentication tokens are time-bound and encrypted. Moreover, this method integrates the database access with the centralized IAM service, simplifying user management and access control. By using IAM Database Authentication, you satisfy the security requirements by ensuring that only authenticated EC2 instances (or more precisely, the applications running on them that assume an IAM role with the necessary permissions) can access the RDS database. This method also preserves the confidentiality of customer data by leveraging AWS’s robust identity and access management system. Reference: IAM Database Authentication for MySQL and PostgreSQL The other options provided are valuable security mechanisms but do not fulfill the requirements as directly or effectively as IAM Database Authentication for the given scenario: Implement SSL encryption to secure the database connections. While SSL (Secure Socket Layer) encryption secures the data in transit between the EC2 instances and the RDS instance, it does not provide an access control mechanism on its own. SSL encryption should be used in conjunction with IAM database authentication for a comprehensive security approach. Assign a specific IAM Role to the EC2 instances granting RDS access. Assigning an IAM role to EC2 instances to grant them access to RDS is a good practice and is required for the EC2 instances to use IAM Database Authentication. However, it is not the complete answer to the question of which security mechanism to implement. Utilize IAM combined with STS for restricted RDS access with a temporary credentialing system. AWS Security Token Service (STS) is indeed used when implementing IAM Database Authentication, as it provides the temporary credentials (authentication tokens) for database access. While the use of STS is inherent to the process of IAM Database Authentication, the answer needed to specify the enabling of IAM Database Authentication as the method to meet the security requirements. Latest AWS SAA Practice Exam - Question 3: A microservice application is being hosted in the ap-southeast-1 and ap-northeast-1 regions. The ap-southeast-1 region accounts for 80% of traffic, with the rest from ap-northeast-1. As part of the company’s business continuity plan, all traffic must be rerouted to the other region if one of the regions’ servers fails. Which solution can comply with the requirement? A. Set up an 80/20 weighted routing in the application load balancer and enable health checks. B. Set up an 80/20 weighted routing in the network load balancer and enable health checks. C. Set up an 80/20 weighted routing policy in AWS Route 53 and enable health checks. D. Set up a failover routing policy in AWS Route 53 and enable health checks. Correct Answer: C. Establish an 80/20 weighted routing policy in AWS Route 53 and incorporate health checks. Explanation: The correct solution for this scenario is to use AWS Route 53's weighted routing policy with health checks. This setup allows the distribution of traffic across multiple AWS regions based on assigned weights (in this case, 80% to ap-southeast-1 and 20% to ap-northeast-1) and automatically reroutes traffic if one region becomes unavailable due to server failure. Option C is correct because AWS Route 53’s weighted routing policy allows you to assign weights to resource record sets (RRS) which correspond to different AWS regions. When combined with health checks, Route 53 can monitor the health of the application in each region. If a region becomes unhealthy, Route 53 will reroute traffic to the healthy region based on the configured weights. Option A and B are incorrect because application and network load balancers operate at the regional level, not the global level. Therefore, they cannot reroute traffic between regions. Option D, while involving Route 53, suggests a failover routing policy, which is not suitable for distributing traffic with a specific percentage split across regions. Failover routing is typically used for active-passive failover, not for load distribution, which doesn't align with the requirement to handle traffic in an 80/20 proportion. The weighted routing policy of AWS Route 53, with appropriate health checks, satisfies the business requirement by distributing traffic in the specified ratio and ensuring business continuity by redirecting traffic in the event of a regional failure. Reference: https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html Get the Print version of the Book at Amazon at https://amzn.to/40ycS4c (Use Discount code Djamgatech2024 for 50% OFF)
TAGLINE Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures KEY FEATURES ● Master the art of leveraging AWS serverless services to build robust event-driven systems. ● Gain expertise in implementing advanced event-driven patterns in AWS. ● Develop advanced skills in production-ready practices for testing, monitoring, and optimizing event-driven microservices in AWS. DESCRIPTION In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. Whether you're an experienced developer or a team looking to stay ahead of the curve, Mastering Event-Driven Microservices in AWS is an essential resource that will equip you with the tools and knowledge necessary to harness the power of event-driven microservices in the AWS ecosystem. WHAT WILL YOU LEARN ● Design and implement event-driven microservices on AWS seamlessly. ● Leverage AWS serverless services more effectively. ● Build robust, scalable, and fault-tolerant event-driven applications on AWS. ● Implement advanced event-driven patterns on AWS. ● Monitor and troubleshoot event-driven microservices on AWS effectively. ● Secure and optimize event-driven microservices for production workloads on AWS. WHO IS THIS BOOK FOR? This book is an invaluable resource for developers, architects, and engineers who want to build scalable and efficient applications on the AWS platform using event-driven microservices architecture. It is tailored for professionals with prior experience in cloud computing and microservices development, providing them with the necessary knowledge and skills to leverage AWS serverless services effectively for designing and implementing event-driven microservices. TABLE OF CONTENTS 1. Introduction to Event-Driven Microservices 2. Designing Event-Driven Microservices in AWS 3. Messaging with Amazon SQS and Amazon SNS 4. Choreography with Amazon EventBridge 5. Orchestration with AWS Step Functions 6. Event Streaming with Amazon Kinesis 7. Testing Event-Driven Systems 8. Monitoring and Troubleshooting 9. Optimizations and Best Practices for Production 10. Real-World Use Cases on AWS Index
Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book.
Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool—a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way. Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg. With this book, you'll learn: The architecture of Apache Iceberg tables What happens under the hood when you perform operations on Iceberg tables How to further optimize Iceberg tables for maximum performance How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.
AWS Certification Guide - AWS Certified Solutions Architect – Professional Elevate Your Architectural Expertise to the Professional Level Embark on a transformative journey to the pinnacle of AWS architecture with this in-depth guide, designed specifically for those aspiring to become AWS Certified Solutions Architects at the Professional level. This comprehensive resource is crafted to deepen your understanding and mastery of complex AWS solutions. Inside This Guide: Advanced Architectural Concepts: Dive into the complexities of designing scalable, reliable, and efficient systems on AWS, covering advanced topics that are crucial for a professional architect. Strategic Approaches to Design: Learn how to make architectural decisions that are cost-effective, secure, and robust, using AWS best practices and design patterns. Holistic Exam Preparation: Benefit from a detailed breakdown of the exam format, including in-depth coverage of each domain, with focused content aligned with the certification objectives. Real-World Scenarios and Solutions: Engage with comprehensive case studies and scenarios that provide practical insights into architecting on AWS at a professional level. Authored by an AWS Expert This guide is penned by a seasoned AWS Solutions Architect, who brings years of field experience into each chapter, offering valuable insights and advanced strategies for professional-level architecture. Your Gateway to Professional Certification Whether you are an experienced architect looking to certify your skills or an aspiring professional seeking to elevate your expertise, this book is a vital tool in your preparation for the AWS Certified Solutions Architect – Professional exam. Advance Your Architectural Career Step beyond the basics and explore the depths of AWS architectural principles and practices. This guide is not just a certification aid; it's a comprehensive resource for building a profound and practical understanding of AWS at a professional level. Embark on Your Advanced Architectural Journey Take your AWS architectural skills to the next level. With this guide, you're not just preparing for an exam; you're preparing for a distinguished career in designing sophisticated AWS solutions. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Contains contributions from noted scholars in computer science and electrical engineering from around the globe - Provides a broad overview of recent developments in sensor collected intelligence - Edited by a team comprised of leading thinkers in big data analytics
Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases. You'll learn how to create databases and implement backup and recovery, security configurations, high availability, scaling techniques, and performance tuning. Using practical techniques, tips, and real-world examples, authors Arunjith Aravindan and Jeyaram Ayyalusamy show you how to deploy and manage MySQL, Amazon RDS, Amazon Aurora, and Azure MySQL. By the end of the book, you'll have the knowledge and skills necessary to administer, manage, and optimize MySQL databases effectively. Design and implement a scalable and reliable database infrastructure using MySQL 8 on premises and cloud Install and configure software, manage user accounts, and optimize database performance Use backup and recovery strategies, security measures, and high availability solutions Apply best practices for database schema design, indexing strategies, and replication techniques Implement advanced database features and techniques such as replication, clustering, load balancing, and high availability Troubleshoot common issues and errors, using diagnostic tools and techniques to identify and resolve problems quickly and efficiently Facilitate major MySQL upgrades including MySQL 5.7 to MySQL 8