Gigi Sayfan – författare

Build a production-ready multi-agent AI framework from scratch using MCP and A2A to orchestrate powerful agent workflowsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild Python-based AI agents without relying on third-party orchestration frameworksDesign production-ready multi-agent systems using A2A messagingIntegrate memory and context with MCP to create adaptive and stateful agentic AI frameworksBook DescriptionFrustrated by opaque agent frameworks that hide how things work? This book gives you complete control by guiding you through building a fully functional, extensible agentic AI framework in Python without relying on external orchestration tools.You’ll begin by implementing a simple tool-using agent, and then gradually extend its capabilities with structured tool schemas, user interfaces, and memory via the Model Context Protocol (MCP). From there, you’ll build collaborative multi-agent systems powered by Agent-to-Agent (A2A) messaging and deploy them in realistic environments. Along the way, you’ll explore secure tool invocation, message routing, observability, and human-in-the-loop workflows.With annotated code, deep engineering insights, and practical deployment patterns, this hands-on guide equips you to build AI agents that reason, plan, act, and adapt, whether you’re shipping production systems or experimenting with cutting-edge LLM-based architectures.Written by Gigi Sayfan, who builds AI agent infrastructure at Perplexity and is a bestselling author with decades of experience in AI and distributed systems, this book gives you the tools and knowledge to engineer your own advanced agentic systems.*Email sign-up and proof of purchase requiredWhat you will learnDesign and implement tool-using AI agents from the ground upBuild modular components for extensible agent frameworksCreate secure and observable tools with structured inputsIntegrate agents with chat UIs such as Slack and ChainlitLeverage MCP for context handling and agent memoryOrchestrate collaborative agent workflows using A2ADebug and deploy agents in production-like environmentsExplore future-ready agent capabilities and GenUX designWho this book is forThis book is essential for AI engineers, ML practitioners, and software architects building agentic systems with large language models. It’s also ideal for DevOps engineers and technical leaders seeking deep insights into building and scaling autonomous AI workflows. Python coding skills and basic familiarity with LLMs are recommended.

Enhance your skills in building scalable infrastructure for your cloud-based applicationsKey FeaturesLearn to design a scalable architecture by building continuous integration (CI) pipelines with KubernetesGet an in-depth understanding of role-based access control (RBAC), continuous deployment (CD), and observabilityMonitor a Kubernetes cluster with Prometheus and GrafanaBook DescriptionKubernetes is among the most popular open source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure.Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster. By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices.What you will learnUnderstand the synergy between Kubernetes and microservicesCreate a complete CI/CD pipeline for your microservices on KubernetesDevelop microservices on Kubernetes with the Go kit framework using best practicesManage and monitor your system using Kubernetes and open source toolsExpose your services through REST and gRPC APIsImplement and deploy serverless functions as a serviceExternalize authentication, authorization, and traffic shaping using a service meshRun a Kubernetes cluster in the cloud on Google Kubernetes EngineWho this book is forThis book is for developers, DevOps engineers, or anyone who wants to develop large-scale microservice-based systems on top of Kubernetes. If you are looking to use Kubernetes on live production projects or want to migrate existing systems to a modern containerized microservices system, then this book is for you. Coding skills, together with some knowledge of Docker, Kubernetes, and cloud concepts will be useful.

Enhance your skills in building scalable infrastructure for your cloud-based applications

Key Features

Learn to design a scalable architecture by building continuous integration (CI) pipelines with KubernetesGet an in-depth understanding of role-based access control (RBAC), continuous deployment (CD), and observabilityMonitor a Kubernetes cluster with Prometheus and Grafana

Book Description

Kubernetes is among the most popular open-source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure.

Hands-On Microservices with Kubernetes starts by providing you with in-depth insights into the synergy between Kubernetes and microservices. You will learn how to use Delinkcious, which will serve as a live lab throughout the book to help you understand microservices and Kubernetes concepts in the context of a real-world application. Next, you will get up to speed with setting up a CI/CD pipeline and configuring microservices using Kubernetes ConfigMaps. As you cover later chapters, you will gain hands-on experience in securing microservices, and implementing REST, gRPC APIs, and a Delinkcious data store. In addition to this, you’ll explore the Nuclio project, run a serverless task on Kubernetes, and manage and implement data-intensive tests. Toward the concluding chapters, you’ll deploy microservices on Kubernetes and learn to maintain a well-monitored system. Finally, you’ll discover the importance of service meshes and how to incorporate Istio into the Delinkcious cluster.

By the end of this book, you’ll have gained the skills you need to implement microservices on Kubernetes with the help of effective tools and best practices.

What you will learn

Understand the synergy between Kubernetes and microservicesCreate a complete CI/CD pipeline for your microservices on KubernetesDevelop microservices on Kubernetes with the Go kit framework using best practicesManage and monitor your system using Kubernetes and open-source toolsExpose your services through REST and gRPC APIsImplement and deploy serverless functions as a serviceExternalize authentication, authorization and traffic shaping using a service meshRun a Kubernetes cluster in the cloud on Google Kubernetes Engine

Who this book is for

This book is for developers, DevOps engineers, or anyone who wants to develop large-scale microservice-based systems on top of Kubernetes. If you are looking to use Kubernetes on live production projects or want to migrate existing systems to a modern containerized microservices system, then this book is for you. Coding skills, together with some knowledge of Docker, Kubernetes, and cloud concepts will be useful.

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 FeaturesMaster Kubernetes architecture and design to build, deploy, and secure large-scale distributed systemsLearn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy enginesExplore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and HelmBook 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 learnLearn how to govern Kubernetes using policy enginesLearn what it takes to run Kubernetes in production and at scaleBuild and run stateful applications and complex microservicesMaster Kubernetes networking with services, Ingress objects, load balancers, and service meshesAchieve high availability for your Kubernetes clustersImprove Kubernetes observability with tools such as Prometheus, Grafana, and JaegerExtend Kubernetes with the Kubernetes API, plugins, and webhooksWho this book is forIf 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.

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 systemsLearn advanced concepts like autoscaling, multi-cluster management, serverless computing, service meshes and policy enginesExplore Kubernetes 1.25 and its rich ecosystem of tools like Kubectl, Krew, K9s, Lens, and Helm

Book Description

The 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 enginesLearn what it takes to run Kubernetes in production and at scaleBuild and run stateful applications and complex microservicesMaster Kubernetes networking with services, Ingress objects, load balancers, and service meshesAchieve high availability for your Kubernetes clustersImprove Kubernetes observability with tools such as Prometheus, Grafana, and JaegerExtend 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.

Design, deploy, and manage large-scale containers using KubernetesKey FeaturesGain insight into the latest features of Kubernetes, including Prometheus and API aggregationDiscover ways to keep your clusters always available, scalable, and up-to-dateMaster the skills of designing and deploying large clusters on various cloud platformsBook DescriptionIf you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal. This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows.By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.This Learning Path includes content from the following Packt products:Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse WhiteMastering Kubernetes - Second Edition by Gigi SayfanWhat you will learnDownload, install, and configure the Kubernetes code baseCreate and configure custom Kubernetes resources Use third-party resources in your automation workflowsDeliver applications as standard packagesSet up and access monitoring and logging for Kubernetes clustersSet up external access to applications running in the clusterManage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)Run multiple clusters and manage them from a single control planeWho this book is forIf you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.

Design, deploy, and manage large-scale containers using Kubernetes

Key Features

Gain insight into the latest features of Kubernetes, including Prometheus and API aggregationDiscover ways to keep your clusters always available, scalable, and up-to-dateMaster the skills of designing and deploying large clusters on various cloud platforms

Book Description

If you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal.

This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You''ll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you''ll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you''ll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you''ll gain insights into custom resource development and utilization in automation and maintenance workflows.

By the end of this Learning Path, you''ll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.

This Learning Path includes content from the following Packt products:

Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse WhiteMastering Kubernetes - Second Edition by Gigi Sayfan

What you will learn

Download, install, and configure the Kubernetes code baseCreate and configure custom Kubernetes resources Use third-party resources in your automation workflowsDeliver applications as standard packagesSet up and access monitoring and logging for Kubernetes clustersSet up external access to applications running in the clusterManage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)Run multiple clusters and manage them from a single control plane

Who this book is for

If you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.