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  • MPI Ethno. Forsch.  (14)
  • München UB
  • Ethn. Museum Berlin
  • 2020-2024  (14)
  • Birmingham : Packt Publishing  (12)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing
  • Cloud computing  (14)
Datasource
Material
Language
Years
Year
Author, Corporation
Publisher
Keywords
  • 1
    Online Resource
    Online Resource
    Cloud forensics demystified : decoding cloud investigation complexities for digital forensic professionals (2024)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781800560833 , 1800560834 , 9781800564411
    Language: English
    Pages: 1 online resource.
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 363.250285/46782
    Keywords: Computer crimes Investigation ; Forensic sciences Data processing ; Cloud computing ; Information storage and retrieval systems ; Criminalité informatique ; Enquêtes ; Criminalistique ; Informatique ; Infonuagique ; Systèmes d'information
    Abstract: Enhance your skills as a cloud investigator to adeptly respond to cloud incidents by combining traditional forensic techniques with innovative approaches Key Features Uncover the steps involved in cloud forensic investigations for M365 and Google Workspace Explore tools and logs available within AWS, Azure, and Google for cloud investigations Learn how to investigate containerized services such as Kubernetes and Docker Purchase of the print or Kindle book includes a free PDF eBook Book Description As organizations embrace cloud-centric environments, it becomes imperative for security professionals to master the skills of effective cloud investigation. Cloud Forensics Demystified addresses this pressing need, explaining how to use cloud-native tools and logs together with traditional digital forensic techniques for a thorough cloud investigation. The book begins by giving you an overview of cloud services, followed by a detailed exploration of the tools and techniques used to investigate popular cloud platforms such as Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP). Progressing through the chapters, you'll learn how to investigate Microsoft 365, Google Workspace, and containerized environments such as Kubernetes. Throughout, the chapters emphasize the significance of the cloud, explaining which tools and logs need to be enabled for investigative purposes and demonstrating how to integrate them with traditional digital forensic tools and techniques to respond to cloud security incidents. By the end of this book, you'll be well-equipped to handle security breaches in cloud-based environments and have a comprehensive understanding of the essential cloud-based logs vital to your investigations. This knowledge will enable you to swiftly acquire and scrutinize artifacts of interest in cloud security incidents. What you will learn Explore the essential tools and logs for your cloud investigation Master the overall incident response process and approach Familiarize yourself with the MITRE ATT&CK framework for the cloud Get to grips with live forensic analysis and threat hunting in the cloud Learn about cloud evidence acquisition for offline analysis Analyze compromised Kubernetes containers Employ automated tools to collect logs from M365 Who this book is for This book is for cybersecurity professionals, incident responders, and IT professionals adapting to the paradigm shift toward cloud-centric environments. Anyone seeking a comprehensive guide to investigating security incidents in popular cloud platforms such as AWS, Azure, and GCP, as well as Microsoft 365, Google Workspace, and containerized environments like Kubernetes will find this book useful. Whether you're a seasoned professional or a newcomer to cloud security, this book offers insights and practical knowledge to enable you to handle and secure cloud-based infrastructure.
    Note: Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed February 29, 2024)
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Arduino IoT Cloud for Developers : Implement Best Practices to Design and Deploy Simple-To-complex Projects at Reduced Costs (2023)
    Birmingham : Packt Publishing | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9781837634576
    Language: English
    Pages: 1 Online-Ressource (402 pages)
    Edition: 1st ed.
    DDC: 303.483
    Keywords: Cloud computing ; Internet of things ; Electronic books
    Note: Description based on publisher supplied metadata and other sources
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    Online Resource
    BSZ
    GBV
    HeBIS
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Running Windows containers on AWS : a complete guide on successfully running windows containers on Amazon ECS, EKS, and AWS Fargate (2023)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781804617199 , 1804617199 , 9781804614136
    Language: English
    Pages: 1 online resource (228 pages)
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing
    Abstract: Scale up your Windows containers seamlessly on AWS powered by field-proven expertise and best practices on Amazon ECS, EKS, and Fargate Purchase of the print or Kindle book includes a free PDF eBook Key Features Leverage the most recent best practices to run and manage Windows containers on AWS Learn about AWS tools to containerize and run Windows containers on AWS Deeper understanding on how Amazon ECS, EKS, and Fargate supports Windows containers Book Description Windows applications are everywhere, from basic intranet applications to high-traffic public APIs. Their prevalence underscores the importance of combining the same tools and experience for managing a modern containerized application with existing critical Windows applications to reduce costs, achieve outstanding operational excellence, and modernize quickly. This comprehensive guide to running and managing Windows containers on AWS looks at the best practices from years of customer interactions to help you stay ahead of the curve. Starting with Windows containers basics, you'll learn about the architecture design that powers Amazon ECS, EKS, and AWS Fargate for Windows containers. With the help of examples and best practices, you'll explore in depth how to successfully run and manage Amazon ECS, EKS, and AWS Fargate clusters with Windows containers support. Next, the book covers day 2 operations in detail, from logging and monitoring to using ancillary AWS tools that fully containerize existing legacy .NET Framework applications into containers without any code changes. The book also covers the most common Windows container operations, such as image lifecycle and working with ephemeral hosts. By the end of this book, you'll have mastered how to run Windows containers on AWS and be ready to start your modernization journey confidently. What you will learn Get acquainted with Windows container basics Run and manage Windows containers on Amazon ECS, EKS, and AWS Fargate Effectively monitor and centralize logs from Windows containers Properly maintain Windows hosts and keep container images up to date Manage ephemeral Windows hosts to reduce operational overhead Work with the container image cache to speed up the container's boot time Who this book is for This book is targeted towards DevOps engineer, SREs, solution architects, or a Windows sysadmin who wants to learn more about running Windows containers on AWS. In order to learn from this book, you should have a basic understanding of containers, Docker, and Kubernetes. The book is also beneficial for Windows application developers who want to explore how to achieve better application scalability using containers as a compute layer.
    Note: Description based on CIP data; resource not viewed
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Architecting cloud native serverless solutions : design, build, and operate serverless solutions on cloud and open-source platforms (2023)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803235998 , 1803235993 , 9781803230085
    Language: English
    Pages: 1 online resource (359 pages)
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 004.6782
    Keywords: Cloud computing ; Computer architecture ; Application software Development ; Application software ; Development ; Cloud computing ; Computer architecture
    Abstract: Get up and running with serverless workloads across AWS, Azure, GCP, Kubernetes, and virtual machines with real-life examples and best practices for design, development, and security of serverless applications Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn with DIY projects and step-by-step instructions for different serverless technologies and vendors Explore detailed sections on running serverless workloads across Kubernetes and virtual machines Discover Cloudflare Serverless Solutions to modernize your web applications Book Description Serverless computing has emerged as a mainstream paradigm in both cloud and on-premises computing, with AWS Lambda playing a pivotal role in shaping the Function-as-a-Service (FaaS) landscape. However, with the explosion of serverless technologies and vendors, it has become increasingly challenging to comprehend the foundational services and their offerings. Architecting Cloud Native Serverless Solutions lays a strong foundation for understanding the serverless landscape and technologies in a vendor-agnostic manner. You'll learn how to select the appropriate cloud vendors and technologies based on your specific needs. In addition, you'll dive deep into the serverless services across AWS, GCP, Azure, and Cloudflare followed by open source serverless tools such as Knative, OpenFaaS, and OpenWhisk, along with examples. You'll explore serverless solutions on Kubernetes that can be deployed on both cloud-hosted clusters and on-premises environments, with real-world use cases. Furthermore, you'll explore development frameworks, DevOps approaches, best practices, security considerations, and design principles associated with serverless computing. By the end of this serverless book, you'll be well equipped to solve your business problems by using the appropriate serverless vendors and technologies to build efficient and cost-effective serverless systems independently. What you will learn Understand the serverless landscape and its potential Build serverless solutions across AWS, Azure, and GCP Develop and run serverless applications on Kubernetes Implement open source FaaS with Knative, OpenFaaS, and OpenWhisk Modernize web architecture with Cloudflare Serverless Discover popular serverless frameworks and DevOps for serverless Explore software design and serverless architecture patterns Acquire an understanding of serverless development and security best practices Who this book is for This book is for DevOps, platform, cloud, site reliability engineers, or application developers looking to build serverless solutions. It's a valuable reference for solution architects trying to modernize a legacy application or working on a greenfield project. It's also helpful for anyone trying to solve business or operational problems without wanting to manage complicated technology infrastructure using serverless technologies. A basic understanding of cloud computing and some familiarity with at least one cloud vendor, Python programming language, and working with CLI will be helpful when reading this book.
    Note: Table of ContentsServerless computing and Function as a serviceBackend as a Service and Powerful Serverless PlatformsServerless solutions in AWSServerless Solutions in AzureServerless solutions in GCPServerless CloudflareKubernetes, Knative, and OpenFaaSSelf-hosted FaaS with Apache OpenwhiskImplementing DevOps Practices for ServerlessServerless security, Observability, and Best PracticesArchitectural and Design Patterns for Serverless. - Description based on CIP data; resource not viewed
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Hashicorp Packer in production : efficiently manage sets of images for your digital transformation or cloud adoption journey (2023)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803243849 , 1803243848 , 9781803246857
    Language: English
    Pages: 1 online resource (167 pages)
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 004.6
    Keywords: Computer networks Management ; Computer programs ; Cloud computing
    Abstract: Set up automated workflows to keep systems and applications consistent globally, regardless of architecture, cloud, or container runtime Purchase of the print or Kindle book includes a free PDF eBook Key Features Automate building and modifying complex software images across multiple OSs and container engines Minimize cost by keeping your systems ready across multiple architectures, including ARM and future RISC-V processors Speed up your time to market by building and testing apps using upstream and future releases Book Description Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers. The book begins by showing you how to create your first manifest while helping you understand the available components. You'll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You'll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you'll build on your initial manifest for a local application that'll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you'll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins. By the end of this book, you'll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration. What you will learn Build and maintain consistent system images across multiple platforms Create machine images that can be used in multiple environments Write a spec for a local Packer virtual machine in JSON and HCL Build a container image with Packer in different formats Automate Packer with continuous delivery pipelines Discover how to customize Packer by writing plugins Who this book is for This book is for DevOps engineers, Cloud engineers, and teams responsible for maintaining platform and application images for enterprise private, hybrid, or multi-cloud environments. Familiarity with operating systems and virtualization concepts, with or without using a cloud provider, is a prerequisite.
    Note: Table of ContentsPacker FundamentalsCreating your first ManifestConfiguring Builders and SourcesThe Power ProvisionerLogging and TroubleshootingWorking with Builders on the ManifestBuilding an Image HierarchySpeeding up with Parallel BuildsManaging Image LifecycleUsing HCP PackerAutomating Packer BuildsDeveloping Plugins. - Description based on CIP data; resource not viewed
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    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    The Kubernetes bible : learn how to deploy and manage Kubernetes across every cloud platform (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781838829452 , 1838829458
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Virtual computer systems ; Open source software ; Logiciels d'application ; Développement ; Infonuagique ; Systèmes virtuels (Informatique) ; Logiciels libres ; Cloud computing ; Computer software ; Development ; Computer programs ; Electronic books
    Abstract: Get up and running with Kubernetes 1.19 and simplify the way you build, deploy, and maintain scalable distributed systems Key Features Design and deploy large clusters on various cloud platforms Explore containerized application deployment, debugging, and recovery with the latest Kubernetes version 1.19 Become well-versed with advanced Kubernetes topics such as traffic routing or Pod autoscaling and scheduling Book Description With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms. What you will learn Manage containerized applications with Kubernetes Understand Kubernetes architecture and the responsibilities of each component Set up Kubernetes on Amazon Elastic Kubernetes Service, Google Kubernetes Engine, and Microsoft Azure Kubernetes Service Deploy cloud applications such as Prometheus and Elasticsearch using Helm charts Discover advanced techniques for Pod scheduling and auto-scaling the cluster Understand possible approaches to traffic routing in Kubernetes Who this book is for This book is for software developers and DevOps engineers looking to understand how to work with Kubernetes for orchestrating containerized applications and services in the cloud. Prior experience with designing software running in operating system containers, as well as a general background in DevOps best practices, will be helpful. Basic knowledge of Kubernetes, Docker, and leading cloud service providers assist with grasping the concepts covered easily.
    Note: Description based on CIP data; resource not viewed
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781800565067 , 1800565062
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 005.7
    Keywords: Big data ; Cloud computing ; Web services ; Computer organization ; Données volumineuses ; Infonuagique ; Services Web ; Ordinateurs ; Conception et construction ; Electronic books
    Abstract: Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book Description With this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP. What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
    Note: Print on demand edition. - Description based on CIP data; resource not viewed
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Getting started with Amazon SageMaker Studio : learn to build end-to-end machine learning projects in the SageMaker machine learning IDE (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781801073486 , 1801073481
    Language: English
    Pages: 1 online resource
    Parallel Title: Erscheint auch als
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) ; Amazon SageMaker Studio ; Machine learning ; Cloud computing ; Apprentissage automatique ; Infonuagique ; Electronic books
    Abstract: Build production-grade machine learning models with Amazon SageMaker Studio, the first integrated development environment in the cloud, using real-life machine learning examples and code Key Features Understand the ML lifecycle in the cloud and its development on Amazon SageMaker Studio Learn to apply SageMaker features in SageMaker Studio for ML use cases Scale and operationalize the ML lifecycle effectively using SageMaker Studio Book Description Amazon SageMaker Studio is the first integrated development environment (IDE) for machine learning (ML) and is designed to integrate ML workflows: data preparation, feature engineering, statistical bias detection, automated machine learning (AutoML), training, hosting, ML explainability, monitoring, and MLOps in one environment. In this book, you'll start by exploring the features available in Amazon SageMaker Studio to analyze data, develop ML models, and productionize models to meet your goals. As you progress, you will learn how these features work together to address common challenges when building ML models in production. After that, you'll understand how to effectively scale and operationalize the ML life cycle using SageMaker Studio. By the end of this book, you'll have learned ML best practices regarding Amazon SageMaker Studio, as well as being able to improve productivity in the ML development life cycle and build and deploy models easily for your ML use cases. What you will learn Explore the ML development life cycle in the cloud Understand SageMaker Studio features and the user interface Build a dataset with clicks and host a feature store for ML Train ML models with ease and scale Create ML models and solutions with little code Host ML models in the cloud with optimal cloud resources Ensure optimal model performance with model monitoring Apply governance and operational excellence to ML projects Who this book is for This book is for data scientists and machine learning engineers who are looking to become well-versed with Amazon SageMaker Studio and gain hands-on machine learning experience to handle every step in the ML lifecycle, including building data as well as training and hosting models. Although basic knowledge of machine learning and data science is necessary, no previous knowledge of SageMaker Studio and cloud experience is required.
    Note: Description based on CIP data; resource not viewed
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    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Practical Microservices with Dapr and .NET - Second Edition (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803248127
    Language: English
    Pages: 1 online resource (312 pages) , color illustrations
    Edition: Second edition.
    DDC: 004.67/82
    Keywords: Microsoft .NET Framework ; Application software Development ; Cloud computing
    Abstract: 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 Features Build resilient, stateless, and stateful microservice applications that run on the cloud and edge Overcome common issues in distributed systems, such as low latency and scaling, using any language and framework Learn how to expose and operate Dapr applications with multiple options Book 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 learn Use Dapr to create services, invoking them directly and via pub/sub Discover best practices for working with microservice architectures Leverage the actor model to orchestrate data and behavior Expose API built with Dapr applications via NGINX and Azure API Management Use Azure Kubernetes Service to deploy a sample application Monitor Dapr applications using Zipkin, Prometheus, and Grafana Scale and load test Dapr applications on Kubernetes Get to grips with Azure Container Apps as you combine Dapr with a serverless platform Who 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.
    Note: Includes index
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    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Podman for DevOps : containerization reimagined with Podman and its companion tools (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803248233
    Language: English
    Pages: 1 online resource (518 pages) , color illustrations
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Computer software Development ; Software architecture ; Cloud computing ; Electronic books ; Electronic books
    Abstract: Build, deploy, and manage containers with the next-generation engine and tools Key Features Discover key differences between Docker and Podman Build brand new container images with Buildah, the Podman companion Learn how to manage and integrate containers securely in your existing infrastructure Book Description As containers have become the new de facto standard for packaging applications and their dependencies, understanding how to implement, build, and manage them is now an essential skill for developers, system administrators, and SRE/operations teams. Podman and its companion tools Buildah and Skopeo make a great toolset to boost the development, execution, and management of containerized applications. Starting with the basic concepts of containerization and its underlying technology, this book will help you get your first container up and running with Podman. You'll explore the complete toolkit and go over the development of new containers, their lifecycle management, troubleshooting, and security aspects. Together with Podman, the book illustrates Buildah and Skopeo to complete the tools ecosystem and cover the complete workflow for building, releasing, and managing optimized container images. Podman for DevOps provides a comprehensive view of the full-stack container technology and its relationship with the operating system foundations, along with crucial topics such as networking, monitoring, and integration with systemd, docker-compose, and Kubernetes. By the end of this DevOps book, you'll have developed the skills needed to build and package your applications inside containers as well as to deploy, manage, and integrate them with system services. What you will learn Understand Podman's daemonless approach as a container engine Run, manage, and secure containers with Podman Discover the strategies, concepts, and command-line options for using Buildah to build containers from scratch Manage OCI images with Skopeo Troubleshoot runtime, build, and isolation issues Integrate Podman containers with existing networking and system services Who this book is for The book is for cloud developers looking to learn how to build and package applications inside containers and system administrators who want to deploy, manage, and integrate them with system services and orchestration solutions. This book provides a detailed comparison between Docker and Podman to aid you in learning Podman quickly.
    Note: Includes bibliographical references
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Accelerating DevSecOps on AWS (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803248608
    Language: English
    Pages: 1 online resource (520 pages) , color illustrations
    Edition: [First edition].
    DDC: 005.8
    Keywords: Amazon Web Services (Firm) ; Computer software Development ; Security measures ; Cloud computing ; Electronic books
    Abstract: Build high-performance CI/CD pipelines that are powered by AWS and the most cutting-edge tools and techniques Key Features Master the full AWS developer toolchain for building high-performance, resilient, and powerful CI/CD pipelines Get to grips with Chaos engineering, DevSecOps, and AIOps as applied to CI/CD Employ the latest tools and techniques to build a CI/CD pipeline for application and infrastructure Book Description Continuous integration and continuous delivery (CI/CD) has never been simple, but these days the landscape is more bewildering than ever; its terrain riddled with blind alleys and pitfalls that seem almost designed to trap the less-experienced developer. If you're determined enough to keep your balance on the cutting edge, this book will help you navigate the landscape with ease. This book will guide you through the most modern ways of building CI/CD pipelines with AWS, taking you step-by-step from the basics right through to the most advanced topics in this domain. The book starts by covering the basics of CI/CD with AWS. Once you're well-versed with tools such as AWS Codestar, Proton, CodeGuru, App Mesh, SecurityHub, and CloudFormation, you'll focus on chaos engineering, the latest trend in testing the fault tolerance of your system. Next, you'll explore the advanced concepts of AIOps and DevSecOps, two highly sought-after skill sets for securing and optimizing your CI/CD systems. All along, you'll cover the full range of AWS CI/CD features, gaining real-world expertise. By the end of this AWS book, you'll have the confidence you need to create resilient, secure, and performant CI/CD pipelines using the best techniques and technologies that AWS has to offer. What you will learn Use AWS Codestar to design and implement a full branching strategy Enforce Policy as Code using CloudFormation Guard and HashiCorp Sentinel Master app and infrastructure deployment at scale using AWS Proton and review app code using CodeGuru Deploy and manage production-grade clusters using AWS EKS, App Mesh, and X-Ray Harness AWS Fault Injection Simulator to test the resiliency of your app Wield the full arsenal of AWS Security Hub and Systems Manager for infrastructure security automation Enhance CI/CD pipelines with the AI-powered DevOps Guru service Who this book is for This book is for DevOps engineers, engineering managers, cloud developers, and cloud architects. Basic experience with the software development life cycle, DevOps, and AWS is all you need to get started.
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Mastering Azure security : keeping your Microsoft Azure workloads safe (2022)
    Birmingham : Packt Publishing
    Details
    ISBN: 9781803238555
    Language: English
    Pages: 1 online resource (320 pages)
    Edition: Second edition.
    DDC: 005.8
    Keywords: Microsoft Azure (Computing platform) ; Computer security ; Computer networks Security measures ; Cloud computing ; Electronic books
    Abstract: Get to grips with artificial intelligence and cybersecurity techniques to respond to adversaries and incidents Key Features Learn how to secure your Azure cloud workloads across applications and networks Protect your Azure infrastructure from cyber attacks Discover tips and techniques for implementing, deploying, and maintaining secure cloud services using best practices Book Description Security is integrated into every cloud, but this makes users put their guard down as they take cloud security for granted. Although the cloud provides higher security, keeping their resources secure is one of the biggest challenges many organizations face as threats are constantly evolving. Microsoft Azure offers a shared responsibility model that can address any challenge with the right approach. Revised to cover product updates up to early 2022, this book will help you explore a variety of services and features from Microsoft Azure that can help you overcome challenges in cloud security. You'll start by learning the most important security concepts in Azure, their implementation, and then advance to understanding how to keep resources secure. The book will guide you through the tools available for monitoring Azure security and enforcing security and governance the right way. You'll also explore tools to detect threats before they can do any real damage and those that use machine learning and AI to analyze your security logs and detect anomalies. By the end of this cloud security book, you'll have understood cybersecurity in the cloud and be able to design secure solutions in Microsoft Azure. What you will learn Become well-versed with cloud security concepts Get the hang of managing cloud identities Understand the zero-trust approach Adopt the Azure security cloud infrastructure Protect and encrypt your data Grasp Azure network security concepts Discover how to keep cloud resources secure Implement cloud governance with security policies and rules Who this book is for This book is for Azure cloud professionals, Azure architects, and security professionals looking to implement secure cloud services using Azure Security Centre and other Azure security features. A solid understanding of fundamental security concepts and prior exposure to the Azure cloud will help you understand the key concepts covered in the book more effectively.
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  • 13
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    HashiCorp Infrastructure Automation Certification Guide (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800565975
    Language: English
    Pages: 1 online resource (350 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    DDC: 004.6
    Keywords: Computer networks Management ; Computer software Development ; Cloud computing ; Computer networks Study guides Management ; Examinations ; Computer software Study guides Development ; Examinations ; Electronic books ; local ; Réseaux d'ordinateurs ; Gestion ; Infonuagique ; Réseaux d'ordinateurs ; Gestion ; Examens ; Guides de l'étudiant ; Cloud computing ; Computer networks ; Management ; Computer networks ; Management ; Examinations ; Computer software ; Development ; COMPUTERS / Software Development & Engineering / Systems Analysis & Design ; COMPUTERS / Software Development & Engineering / Tools ; COMPUTERS / System Administration / Linux & UNIX Administration ; Study guides
    Abstract: Leverage Terraform's capabilities to reuse code, write modules, automate deployments, and manage infrastructure state Key Features Perform complex enterprise-grade infrastructure deployments using Terraform v1.0, the latest version of Terraform Learn to scale your infrastructure without introducing added deployment complexities Understand how to overcome infrastructure deployment challenges Book Description Terraform is a highly sought-after technology for orchestrating infrastructure provisioning. This book is a complete reference guide to enhancing your infrastructure automation skills, offering up-to-date coverage of the HashiCorp infrastructure automation certification exam. This book is written in a clear and practical way with self-assessment questions and mock exams that will help you from a HashiCorp infrastructure automation certification exam perspective. This book covers end-to-end activities with Terraform, such as installation, writing its configuration file, Terraform modules, backend configurations, data sources, and infrastructure provisioning. You'll also get to grips with complex enterprise infrastructures and discover how to create thousands of resources with a single click. As you advance, you'll get a clear understanding of maintaining infrastructure as code (IaC) in Repo/GitHub, along with learning how to create, modify, and remove infrastructure resources as and when needed. Finally, you'll learn about Terraform Cloud and Enterprise and their enhanced features. By the end of this book, you'll have a handy, up-to-date desktop reference guide along with everything you need to pass the HashiCorp Certified: Terraform Associate exam with confidence. What you will learn Effectively maintain the life cycle of your infrastructure using Terraform 1.0 Reuse Terraform code to provision any cloud infrastructure Write Terraform modules on multiple cloud providers Use Terraform workflows with the Azure DevOps pipeline Write Terraform configuration files for AWS, Azure, and Google Cloud Discover ways to securely store Terraform state files Understand Policy as Code using Terraform Sentinel Gain an overview of Terraform Cloud and Terraform Enterprise Who this book is for This book is for experienced cloud engineers, DevOps engineers, system administrators, and solution architects interested in developing industry-grade skills with Terraform. You will also find this book useful if you want to pass the HashiCorp Certified: Terraform Assoc...
    Note: Online resource; Title from title page (viewed July 15, 2021) , Mode of access: World Wide Web.
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  • 14
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    Online Resource
    Learn Amazon SageMaker (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800208919
    Language: English
    Pages: 1 online resource (490 pages)
    Edition: 1st edition
    DDC: 006.3/
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Electronic books ; local ; Amazon Web Services (Firm) ; Apprentissage automatique ; Infonuagique ; Enterprise software ; Data capture & analysis ; Pattern recognition ; Computer vision ; Computers ; Enterprise Applications ; General ; Computers ; Computer Vision & Pattern Recognition ; Computers ; Data Processing ; Cloud computing ; Machine learning
    Abstract: Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key Features Build, train, and deploy machine learning models quickly using Amazon SageMaker Analyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniques Improve productivity by training and fine-tuning machine learning models in production Book Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You'll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you'll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You'll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you'll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learn Create and automate end-to-end machine learning workflows on Amazon Web Services (AWS) Become well-versed with data annotation and preparation techniques Use AutoML features to build and train machine learning models with AutoPilot Create models using built-in algorithms and frameworks and your own code Train computer vision and NLP models using real-world examples Cover training techniques for scaling, model optimization, model debugging, and cost optimization Automate deployment tasks in a variety of configurations using SDK and several automation tools W...
    Note: Online resource; Title from title page (viewed August 27, 2020) , Mode of access: World Wide Web.
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