Until recently, infrastructure was the backbone of organizations operating software they developed in-house. But now that cloud vendors run the computers, companies can finally bring the benefits of agile custom-centricity to their own developers. Adding product management to infrastructure organizations is now all the rage. But how's that possible when infrastructure is still the operational layer of the company? This practical book guides engineers, managers, product managers, and leaders through the shifts that modern platform-led organizations require. You'll learn what platform engineering is—and isn't—and what benefits and value it brings to developers and teams. You'll understand what it means to approach a platform as a product and learn some of the most common technical and managerial barriers to success. With this book, you'll: Cultivate a platform-as-product, developer-centric mindset Learn what platform engineering teams are and are not Start the process of adopting platform engineering within your organization Discover what it takes to become a product manager for a platform team Understand the challenges that emerge when you scale platforms Automate processes and self-service infrastructure to speed development and improve developer experience Build out, hire, manage, and advocate for a platform team

Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager. From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization. Begin by exploring what you expect from a manager Understand what it takes to be a good mentor, and a good tech lead Learn how to manage individual members while remaining focused on the entire team Understand how to manage yourself and avoid common pitfalls that challenge many leaders Manage multiple teams and learn how to manage managers Learn how to build and bootstrap a unifying culture in teams

Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

Design and build Internal Developer Platforms (IDPs) with future-oriented design strategies, using the Platform as a Product mindset Key Features Learn how to design platforms that create value and drive user adoption Benefit from expert techniques for shifting to a product-centric mindset as an architect and platform team Implement best practices to understand platform complexity, manage technical debt, and ensure its evolution Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe rapid pace of technological advancements, the shortage of IT talent, and the complexity of modern systems highlight the need for structured guidance in building resilient, user-centric platforms for cloud-native environments. This book empowers platform engineers and architects to implement value-driven internal development platforms. You’ll learn how to identify end users, understand their challenges, and define the purpose of a platform, with a focus on self-service solutions for modern cloud-native software development, delivery, and operations. The book incorporates real-world examples of building platforms within and for the cloud, leveraging the power of Kubernetes. You’ll learn how adopting a product mindset for architecting and building platforms helps foster successful platform engineering teams. This emphasizes early end-user involvement and provides a framework that gives you the flexibility to easily adapt and extend for future use cases. The book also offers insights into building a sustainable platform without accumulating technical debt. By the end of this book, you’ll be able to drive the design, definition, and implementation of platform capabilities as a product that aligns with your organizational requirements and strategy.What you will learn Make informed decisions based on your organization's platform needs Identify missing platform capabilities and technical debt Develop a critical user journey through your platform capabilities Define the purpose, principles, and key performance indicators (KPIs) for your platform Utilize relevant data points for making data-driven product decisions Implement your own platform reference and target architectures Who this book is for This book is for platform architects and solutions architects seeking to enhance their skills in designing and building a platform as a product. It also offers valuable insights for decision-makers, platform engineers, and DevOps professionals. While familiarity with cloud-native concepts, CI/CD, and Kubernetes is beneficial, the book builds on these topics to address self-service, cost management, and technical debt. It’s particularly suited to experts tackling the challenge of integrating diverse domains to create effective internal developer platforms with top-notch operational readiness.

Empower your team with platforms built on top of Kubernetes using open source tools. Adopting Kubernetes is complex—especially when you’re working in an organization with multiple teams, deploying to multiple cloud providers, and working with different stacks. Platform Engineering on Kubernetes shows you how to solve these common cloud native problems with open-source tools and emerging best practices from the Kubernetes community. In Platform Engineering on Kubernetes you will learn about: The principles behind platform engineering and how these apply to Kubernetes Evaluating and adopting open-source projects to build domain specific platforms Creating Platform APIs to enable teams to release more software more efficiently Reducing the cognitive load of a platform for your teams Measuring your platform initiatives using established software delivery metrics Package, version, distribute, and deploy with Helm, Tekton, Dagger and Argo CD Implement a multi-cloud infrastructure strategy using Crossplane Progressive upgrades with Knative Serving and Argo Rollouts Enable development teams with standard application-level APIs with Dapr A platform helps your team stay focused on delivering amazing software. But building a reliable platform on top of Kubernetes demands real expertise. Platform Engineering on Kubernetes reveals how to combine multiple popular open-source projects into a custom platform that works for your applications and your teams. It’s the perfect guide for your organization’s journey to Kubernetes, simplifying cloud native development for your dev teams and helping them deliver software faster. Foreword by Jared Watts. About the technology Kubernetes is an amazing orchestration tool, but it’s just the start of your journey to the cloud. To efficiently deliver cloud-native software, your team needs a solid build pipeline, an efficient package manager and distribution mechanism, and APIs that reduce your team’s cognitive load. This book will show you how to build custom platforms on top of Kubernetes—all with open-source tools such as Dapr, Knative, Argo CD and Rollouts, and Tekton. About the book Platform Engineering on Kubernetes starts by clearly defining the elements of a great Kubernetes-based platform. Then, it systematically introduces the tools you’ll need to build a platform that exactly matches your organization’s requirements. Hands-on examples and detailed code guide you through each step. By the end, you’ll be able to create a complete platform to efficiently deliver cloud-native software without being tied to a specific cloud provider or vendor. About the reader For developers and software architects familiar with the basics of containers and Kubernetes. About the author Mauricio Salatino is currently a Dapr OSS Contributor, a Knative Steering Committee member, and co-lead of the Knative Functions working group. Table of Contents 1 (The rise of) platforms on top of Kubernetes 2 Cloud-native application challenges 3 Service pipelines: Building cloud-native applications 4 Environment pipelines: Deploying cloud-native applications 5 Multi-cloud (app) infrastructure 6 Let’s build a platform on top of Kubernetes 7 Platform capabilities I: Shared application concerns 8 Platform capabilities II: Enabling teams to experiment 9 Measuring your platforms

Offshore Semi-Submersible Platform Engineering presents a primer on the analysis and design of semi-submersible platforms, in particular, while also covering general analysis and design guidelines of offshore compliant platforms. It introduces general structural designs and also examines the details of the various environmental impacts that act upon them, such as fatigue, fire, collisions, and water waves. Features Provides thorough coverage of the dynamic analysis and design of semi-submersible platforms Assists readers through detailed analysis methods using MATLAB® as well as other computer programs used to carry out structural analysis Explains impact loading and dynamic response through numerical analysis and examines the various factors that affect semi-submersibles Presented in a coursework teaching style, the content is explained in a step-by-step manner using color figures, photos, screen shots, and illustrations, thereby enabling students, researchers, and practicing engineers to carry out analysis with ease Offshore Semi-Submersible Platform Engineering serves as a practical guide for upper-level students and graduates of various engineering disciplines, for example, naval architecture, and structural, mechanical, pipeline, and offshore engineering. Further, it can also be used as a reference for practicing professionals, as the book covers a broad range of scholarships and applications.

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 DescriptionWith 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.