Kubernetes Event Driven Autoscaling With Keda

DOWNLOAD

Download Kubernetes Event Driven Autoscaling With Keda PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Kubernetes Event Driven Autoscaling With Keda book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Kubernetes Event Driven Autoscaling With Keda

DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13

Kubernetes Event Driven Autoscaling With Keda written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.

"Kubernetes Event-driven Autoscaling with KEDA" Unlock the full potential of cloud-native architectures with "Kubernetes Event-driven Autoscaling with KEDA," the definitive guide for engineers, architects, and DevOps professionals navigating the complexities of dynamic, event-driven workload scaling. This comprehensive book begins by dissecting Kubernetes autoscaling fundamentals, exploring the mechanisms and limitations of Kubernetes’ native scaling solutions. Readers are introduced to foundational concepts such as the control plane and metric-driven scaling, before delving into the unique challenges associated with unpredictable, spiky workloads typical in modern distributed systems. The heart of the book offers an in-depth exploration into the internals of KEDA—Kubernetes-based Event Driven Autoscaling—illuminating its architecture, integration patterns, and extensibility. Readers will discover advanced techniques for integrating diverse event sources, securing event-driven pipelines, and deploying KEDA seamlessly across hybrid, edge, and multi-cloud environments. Real-world examples demonstrate how to leverage KEDA’s ScaledObjects, ScaledJobs, and custom scaler plugins to enable resilient, responsive scaling for stateless and stateful workloads alike, all while ensuring operational efficiency and cost optimization at scale. Touching on every facet of the event-driven Kubernetes journey, the book addresses instrumentation, observability, and troubleshooting strategies tailored to highly dynamic environments. With sections on performance engineering, predictive autoscaling, building custom scalers, and contributing to the open-source KEDA project, this guide empowers practitioners to design robust, future-proof autoscaling workflows. Rounded out by best practices, anti-patterns, and migration strategies, "Kubernetes Event-driven Autoscaling with KEDA" stands as an essential resource for delivering scalable, reliable, and cost-effective cloud-native applications.

Mastering Elastic Kubernetes Service On Aws

DOWNLOAD
Author : Malcolm Orr
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-07-21

Mastering Elastic Kubernetes Service On Aws written by Malcolm Orr and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Computers categories.

Leverage AWS EKS to optimally manage Kubernetes deployment, scaling, and monitoring for your containerized applications Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Seamlessly deploy and run Kubernetes applications on AWS Overcome security and networking issues in Kubernetes to improve the performance of your apps Scale and provision resources to meet the dynamic needs of the cluster using AWS EKS Book Description Kubernetes has emerged as the de facto standard for container orchestration, with recent developments making it easy to deploy and handle a Kubernetes cluster. However, a few challenges such as networking, load balancing, monitoring, and security remain. To address these issues, Amazon EKS offers a managed Kubernetes service to improve the performance, scalability, reliability, and availability of AWS infrastructure and integrate with AWS networking and security services with ease. You'll begin by exploring the fundamentals of Docker, Kubernetes, Amazon EKS, and its architecture along with different ways to set up EKS. Next, you'll find out how to manage Amazon EKS, encompassing security, cluster authentication, networking, and cluster version upgrades. As you advance, you'll discover best practices and learn to deploy applications on Amazon EKS through different use cases, including pushing images to ECR and setting up storage and load balancing. With the help of several actionable practices and scenarios, you'll gain the know-how to resolve scaling and monitoring issues. Finally, you will overcome the challenges in EKS by developing the right skill set to troubleshoot common issues with the right logic. By the end of this Kubernetes book, you'll be able to effectively manage your own Kubernetes clusters and other components on AWS. What you will learn Understand Amazon EKS architecture and how every component works Effectively manage Kubernetes cluster on AWS with Amazon EKS Build a Docker image and push it to AWS ECR Efficiently scale and provision resources leveraging Amazon EKS Dive deep into security and networking with Amazon EKS Understand Fargate serverless and apply it to the workload Who this book is for This book is for cloud architects and cloud engineers who want to efficiently manage Kubernetes with Amazon EKS. Basic knowledge of containerization, Kubernetes, Docker, and AWS services is needed to grasp the content present in this book.

Mastering Aws Elastic Kubernetes Services

DOWNLOAD
Author : Siva Guruvareddiar
language : en
Publisher: BPB Publications
Release Date : 2024-11-28

Mastering Aws Elastic Kubernetes Services written by Siva Guruvareddiar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.

DESCRIPTION “Mastering AWS Elastic Kubernetes Services" is your comprehensive guide to understanding and implementing AWS EKS. This book helps you master Kubernetes, the industry-standard container orchestration platform, on the robust and scalable Amazon Web Services (AWS) cloud. This book is a complete guide to Kubernetes and AWS EKS, starting with the basics of Kubernetes architecture and container orchestration. It introduces AWS EKS, explaining its setup, configuration, and fully managed features on AWS. Advanced topics like networking, security, storage, scaling, and AWS EKS cluster optimization are covered in detail. With practical exercises and real-world applications, the book equips readers to confidently deploy, manage, and fine-tune Kubernetes applications on AWS, helping you gain expertise in implementing CI/CD pipelines for AWS EKS deployments, establishing robust networking policies, and architecting storage solutions for various workload requirements. By the end of this book, you will be equipped with the knowledge to design and manage production-ready AWS EKS environments that align with industry best practices and AWS Well-Architected Framework principles. KEY FEATURES ● Learn end-to-end EKS, from core Kubernetes concepts to advanced cluster operations. ● Master practical skills in EKS security, monitoring, and disaster recovery planning. ● Gain expertise in CI/CD, GitOps, and integration with other AWS cloud services. WHAT YOU WILL LEARN ● Design and deploy production-ready EKS clusters from ground up. ● Implement robust security measures and access controls for EKS workloads. ● Build automated CI/CD pipelines and GitOps workflows for EKS deployments. ● Master EKS networking, storage solutions, and AWS service integrations. ● Establish effective monitoring, logging, and troubleshooting strategies for clusters. ● Architect scalable and resilient applications using EKS best practices. WHO THIS BOOK IS FOR Whether you are a DevOps engineer, cloud architect, or platform administrator, you will learn to design, deploy, and maintain production-grade AWS EKS clusters with confidence with the help of this book. TABLE OF CONTENTS 1. Introduction to Kubernetes 2. Kubernetes Architecture 3. Kubernetes Components 4. Introduction to Amazon Elastic Kubernetes Service 5. Amazon Elastic Kubernetes Service Architecture 6. Setting up Elastic Kubernetes Service Prerequisites 7. Creating Elastic Kubernetes Service Clusters 8. Accessing and Configuring Elastic Kubernetes Service Clusters 9. Deploying Sample Apps on AWS Elastic Kubernetes Service Clusters 10. Managing Stateful Apps on AWS Elastic Kubernetes Service Clusters 11. Scaling AWS Elastic Kubernetes Services Workloads 12. Networking with AWS Elastic Kubernetes Services 13. Securing AWS Elastic Kubernetes Service Clusters 14. Storage Options for AWS EKS Workloads 15. Monitoring AWS EKS Clusters 16. Logging and Troubleshooting AWS EKS Clusters 17. Integrating EKS with Other AWS Services 18. Continuous Integration and Continuous Deployment Pipelines for Amazon EKS 19. GitOps Workflows with Amazon EKS 20. Backup and Disaster Recovery with Amazon EKS 21. Amazon EKS Optimization and Best Practices 22. Data Workloads on Amazon EKS 23. Generative Artificial Intelligence on Amazon EKS

Openfaas On Kubernetes Architecture And Implementation

DOWNLOAD
Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-13

Openfaas On Kubernetes Architecture And Implementation written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.

"OpenFaaS on Kubernetes: Architecture and Implementation" "OpenFaaS on Kubernetes: Architecture and Implementation" provides a comprehensive and authoritative exploration of deploying and managing OpenFaaS—one of the leading open-source serverless frameworks—on Kubernetes. The book begins by illuminating the evolution of serverless computing, establishing OpenFaaS’s niche within an ever-expanding landscape that includes platforms such as AWS Lambda and Google Cloud Functions. Readers are guided through the motivations and technical advantages of adopting OpenFaaS on Kubernetes, while also gaining a solid grasp of Function-as-a-Service (FaaS) principles, event-driven architectures, and the unique integration challenges present in cloud-native environments. Delving deeper, the book offers a robust walkthrough of Kubernetes fundamentals tailored for OpenFaaS operators, including core resource management, advanced networking, security practices, and multi-tenancy. A detailed architectural breakdown reveals how OpenFaaS leverages Kubernetes primitives, CRDs, and pluggable eventing systems to deliver scalability, resilience, and modularity. Essential operational topics—such as deploying high-availability clusters, securing gateways and data, establishing observability stacks, and lifecycle management—are covered with clarity and depth. Comprehensive function development workflows, CI/CD integration, debugging, disaster recovery, and performance optimization empower teams to build, deploy, and manage serverless workloads with confidence. Recognizing the diverse applications and challenges of modern cloud-native workloads, the book surveys real-world use cases spanning data processing, machine learning inference, multi-cloud strategies, IoT, and edge computing. Security and compliance are examined in detail, from container hardening to policy enforcement and governance. The final chapters celebrate the vibrancy of the OpenFaaS community and ecosystem, address open research questions, and reflect on emerging trends in serverless and Kubernetes innovation. Whether you're a developer, architect, or operator, this book serves as your essential guide to mastering OpenFaaS in production Kubernetes environments.

Microsoft Azure For Dummies

DOWNLOAD
Author : Jack A. Hyman
language : en
Publisher: John Wiley & Sons
Release Date : 2023-01-12

Microsoft Azure For Dummies written by Jack A. Hyman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-12 with Computers categories.

The must-have reference for Azure newcomers As Microsoft's Azure platform takes a larger stake in the cloud computing world, more tech pros need to know the ins-and-outs of this fast-growing platform. Microsoft Azure For Dummies is the essential guide for users who are new to the platform. Take your first steps into the world of Azure as you learn all about the core services—straight from a Microsoft expert. This book covers the Azure essentials you need to know, including building a virtual network on Azure, launching and scaling applications, migrating existing services, and keeping everything secure. In classic Dummies style, you’ll learn the fundamentals of Azure’s core services and—when you’re ready—how to move into more advanced services. Discover the basics of cloud computing with Microsoft Azure and learn what services you can access with Azure Build your cloud network with Azure and migrate an existing network to the platform Scale applications seamlessly and make sure your security is air-tight Updated to included expanded information on data resources, machine learning, artificial intelligence, and collaboration, Microsoft Azure For Dummies, 2nd Edition answers the call for an entry-level, comprehensive guide that provides a simple-to-understand primer on core Azure services. It’s an invaluable resource for IT managers and others arriving at the platform for the first time.

Kubesphere Administration And Platform Engineering

DOWNLOAD
Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-15

Kubesphere Administration And Platform Engineering written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.

"KubeSphere Administration and Platform Engineering" "KubeSphere Administration and Platform Engineering" is an authoritative guide designed for platform engineers, system administrators, and DevOps professionals seeking to harness the full power of KubeSphere in cloud-native environments. The book commences with an in-depth exploration of KubeSphere’s layered architecture, elucidating its modular core components, advanced operator and CRD integrations, and robust interoperability with the Kubernetes API and broader CNCF ecosystem. Readers are guided through scalable and extensible patterns—ranging from service mesh integration and multi-tenancy frameworks to cloud-native compliance—ensuring a secure, future-proof foundation. Throughout its meticulously structured chapters, the book addresses the entire operational lifecycle, from pre-deployment planning to advanced lifecycle automation. It delves deeply into multi-cloud and hybrid deployment strategies, hands-on installation and upgrade methodologies, and comprehensive disaster recovery planning. Readers will master critical topics such as authentication and authorization, RBAC and ABAC models, policy-driven security with OPA, secret and credential management, and regulatory compliance for enterprise-grade workloads. Essential networking concepts are unraveled, including CNI configuration, multi-cluster connectivity, resilient load balancing, and zero-trust architectures. The treatise culminates with coverage of observability, storage management, CI/CD automation, and platform extension—empowering organizations to deliver highly reliable, scalable, and customizable platform experiences. Through practical guidance on application lifecycle management, self-service developer portals, automation-driven governance, and enterprise reference architectures, "KubeSphere Administration and Platform Engineering" provides a comprehensive, hands-on reference for building and operating next-generation Kubernetes platforms at scale.

Practical Microservices With Dapr And Net

DOWNLOAD
Author : Davide Bedin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-11-11

Practical Microservices With Dapr And Net written by Davide Bedin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-11 with Computers categories.

Use the innovative, highly portable event-driven distributed application runtime to simplify building resilient and scalable microservices for cloud and edge applications. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesBuild resilient, stateless, and stateful microservice applications that run on the cloud and edgeOvercome common issues in distributed systems, such as low latency and scaling, using any language and frameworkLearn how to expose and operate Dapr applications with multiple optionsBook Description This second edition will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr simplifies development while allowing you to work with multiple languages and platforms. Following a C# sample, you'll understand how Dapr's runtime, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need for building microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr. With a focus on deploying the Dapr sample application to an Azure Kubernetes Service cluster and to the Azure Container Apps serverless platform, you'll see how to expose the Dapr application with NGINX, YARP, and Azure API Management. By the end of this book, you'll be able to write microservices easily by implementing industry best practices to solve problems related to distributed systems. What you will learnUse Dapr to create services, invoking them directly and via pub/subDiscover best practices for working with microservice architecturesLeverage the actor model to orchestrate data and behaviorExpose API built with Dapr applications via NGINX and Azure API ManagementUse Azure Kubernetes Service to deploy a sample applicationMonitor Dapr applications using Zipkin, Prometheus, and GrafanaScale and load test Dapr applications on KubernetesGet to grips with Azure Container Apps as you combine Dapr with a serverless platformWho this book is for This book is for developers looking to explore and implement microservices architectures in Dapr applications using .NET examples. Whether you are new to microservices or have knowledge of this architectural approach and want to get hands-on experience using Dapr, you'll find this book useful. Familiarity with .NET will help you to understand the C# samples and code snippets used in the book.

Learning Dapr

DOWNLOAD
Author : Haishi Bai
language : en
Publisher: O'Reilly Media
Release Date : 2020-08-24

Learning Dapr written by Haishi Bai and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Computers categories.

Get the authoritative guide to Dapr, the distributed application runtime that works with new and existing programming languages alike. Written by the model’s creators, this introduction shows you how Dapr not only unifies stateless, stateful, and actor programming models but also runs everywhere—in the cloud or on the edge. Authors Haishi Bai and Yaron Schneider with Microsoft’s Azure CTO team explain that, with Dapr, you don’t need to include any SDKs or libraries in your user code. Instead, you automatically get flexible binding, state management, the actor pattern, pub-sub, reliable messaging, and many more features. This book shows developers, architects, CIOs, students, and computing enthusiasts how to get started with Dapr. Learn the new programming model for cloud native applications Write high-performance distributed applications without drilling into technical details Use Dapr with any language or framework to write microservices easily Learn how Dapr provides consistency and portability through open APIs and extensible, community-driven components Explore how Dapr handles state, resource bindings, and pub-sub messaging to enable resilient event-driven architectures that scale Integrate cloud applications with various SaaS offerings, such as machine learning

Mastering Kubernetes

DOWNLOAD
Author : Gigi Sayfan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-16

Mastering Kubernetes written by Gigi Sayfan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Computers categories.

Go beyond the basics of Kubernetes and explore more advanced concepts, including Kubernetes in production, governance, serverless computing, and service meshes. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Master Kubernetes architecture and design to build, deploy, and secure large-scale distributed systems Learn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy engines Explore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm Book DescriptionThe fourth edition of the bestseller Mastering Kubernetes includes the most recent tools and code to enable you to learn the latest features of Kubernetes 1.25. This book contains a thorough exploration of complex concepts and best practices to help you master the skills of designing and deploying large-scale distributed systems on Kubernetes clusters. You’ll learn how to run complex stateless and stateful microservices on Kubernetes, including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. In addition, you’ll understand how to utilize serverless computing and service meshes. Further, two new chapters have been added. “Governing Kubernetes” covers the problem of policy management, how admission control addresses it, and how policy engines provide a powerful governance solution. “Running Kubernetes in Production” shows you what it takes to run Kubernetes at scale across multiple cloud providers, multiple geographical regions, and multiple clusters, and it also explains how to handle topics such as upgrades, capacity planning, dealing with cloud provider limits/quotas, and cost management. By the end of this Kubernetes book, you’ll have a strong understanding of, and hands-on experience with, a wide range of Kubernetes capabilities.What you will learn Learn how to govern Kubernetes using policy engines Learn what it takes to run Kubernetes in production and at scale Build and run stateful applications and complex microservices Master Kubernetes networking with services, Ingress objects, load balancers, and service meshes Achieve high availability for your Kubernetes clusters Improve Kubernetes observability with tools such as Prometheus, Grafana, and Jaeger Extend Kubernetes with the Kubernetes API, plugins, and webhooks Who this book is for If you're a system administrator or cloud developer who wants to become comfortable with Kubernetes and would like to master its advanced features, then this book is for you. Software and DevOps engineers with a working knowledge of Kubernetes, as well as technical managers of Kubernetes-based systems, will also find this book useful. Those deciding on whether to migrate to Kubernetes and are curious about its inner workings will find plenty of answers here as well. Basic familiarity with networking concepts will prove beneficial.

Llms In Production

DOWNLOAD
Author : Christopher Brousseau
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-18

Llms In Production written by Christopher Brousseau and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.

Goes beyond academic discussions deeply into the applications layer of Foundation Models. This practical book offers clear, example-rich explanations of how LLMs work, how you can interact with them, and how to integrate LLMs into your own applications. Find out what makes LLMs so different from traditional software and ML, discover best practices for working with them out of the lab, and dodge common pitfalls with experienced advice. In LLMs in Production you will: • Grasp the fundamentals of LLMs and the technology behind them • Evaluate when to use a premade LLM and when to build your own • Efficiently scale up an ML platform to handle the needs of LLMs • Train LLM foundation models and finetune an existing LLM • Deploy LLMs to the cloud and edge devices using complex architectures like PEFT and LoRA • Build applications leveraging the strengths of LLMs while mitigating their weaknesses LLMs in Production delivers vital insights into delivering MLOps so you can easily and seamlessly guide one to production usage. Inside, you’ll find practical insights into everything from acquiring an LLM-suitable training dataset, building a platform, and compensating for their immense size. Plus, tips and tricks for prompt engineering, retraining and load testing, handling costs, and ensuring security. Foreword by Joe Reis. About the technology Most business software is developed and improved iteratively, and can change significantly even after deployment. By contrast, because LLMs are expensive to create and difficult to modify, they require meticulous upfront planning, exacting data standards, and carefully-executed technical implementation. Integrating LLMs into production products impacts every aspect of your operations plan, including the application lifecycle, data pipeline, compute cost, security, and more. Get it wrong, and you may have a costly failure on your hands. About the book LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for preparing an LLM dataset, cost-efficient training hacks like LORA and RLHF, and industry benchmarks for model evaluation. Along the way, you’ll put your new skills to use in three exciting example projects: creating and training a custom LLM, building a VSCode AI coding extension, and deploying a small model to a Raspberry Pi. What's inside • Balancing cost and performance • Retraining and load testing • Optimizing models for commodity hardware • Deploying on a Kubernetes cluster About the reader For data scientists and ML engineers who know Python and the basics of cloud deployment. About the author Christopher Brousseau and Matt Sharp are experienced engineers who have led numerous successful large scale LLM deployments. Table of Contents 1 Generative AI: Why large language models have captured attention 2 Large language models: A deep dive into language modeling 3 Large language model operations: Building a platform for LLMs 4 Data engineering for large language models: Setting up for success 5 Training large language models: How to generate the generator 6 Large language model services: A practical guide 7 Prompt engineering: Becoming an LLM whisperer 8 Applications and Agents: Building an interactive experience 9 Creating an LLM project: Reimplementing Llama 3 10 Creating a coding copilot project: This would have helped you earlier 11 Deploying an LLM on a Raspberry Pi: How low can you go? 12 Creating a coding copilot project: Integrating an LLM service into VS Code with RAG started A History of linguistics B Reinforcement learning with human feedback C Multimodal latent spaces