E-Book, Englisch, 446 Seiten
Bachlmayr / Ziegelaar / Blockley Cloud Native Anti-Patterns
1. Auflage 2025
ISBN: 978-1-83620-058-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases
E-Book, Englisch, 446 Seiten
ISBN: 978-1-83620-058-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Successfully transitioning to a cloud-native architecture demands more than just new tools-it requires a change in mindset. Written by cloud transformation experts Gerald Bachlmayr, Aiden Ziegelaar, Alan Blockley, and Bojan Zivic-this guide shows you how to identify and remediate cloud anti-patterns, manage FinOps, meet security goals, and understand cloud storage, thus steering your organization to become truly cloud native. You will develop the skills necessary to navigate the cloud native landscape, irrespective of the platform: AWS. Azure or GCP!
You'll start by exploring the events that shaped our understanding of the modern cloud-native stack. Through practical examples, you'll learn how to implement a suitable governance model, adopt FinOps and DevSecOps best practices, and create an effective cloud native roadmap. You will identify common anti-patterns and refactor them into best practices.
The book examines potential pitfalls and suggests solutions that enhance business agility. You'll also gain expert insights into observability, migrations, and testing of cloud native solutions.
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Weitere Infos & Material
Preface
A sound cloud native adoption approach can be a significant business enabler. It can accelerate innovation cycles, improve our time to market, increase resilience, improve security posture, and enable observability and flexible integrations for data, APIs, and connectivity. Despite all the potential that cloud native brings, the authors of this book have seen many things go wrong, were involved in the remediation steps across the software development life cycle, and had opportunities to start building new capabilities from scratch. A cloud native journey is not only about technology and tools. It starts with a cultural transformation, leveraging the right ways of working and transforming our company into a learning organization. The adoption also requires a shift in governance, security, ownership, and continuous improvement of our architecture and skills. With great power comes great responsibility. This book provides insights into where cloud initiatives tend to go wrong, how to spot those anti-patterns while they are starting to unfold, and how to remediate them to drive successful cloud adoption. By reading this book, you will learn about the following:
- How to identify common anti-patterns encountered when shifting to agile cloud native delivery
- What high-performing cloud native delivery looks like
- How to spot anti-patterns in your organization and analyze their long-term impacts
- Prescriptive guidance on how to remediate anti-patterns
Who this book is for
This book is intended for the following audience that has fundamental knowledge of information technology solutions and wants to improve their cloud native knowledge:
- Cloud platform engineers and software engineers
- Cloud or solution architects
- Quality and test engineers
- Enterprise architects
- Technical team leads
- Engineering managers
What this book covers
, , explores benefits, DevOps culture and CI/CD, observability, and resilience, and clarifies some common misunderstandings.
, , discusses common strategy mistakes, such as outsourcing knowledge or lacking roadmaps and partnership strategies, and how to transition into good practice.
, , steps through common governance anti-patterns, such as underestimating cultural impact and learning effort, and discusses how to develop good habits.
, , discusses mistakes including lacking tagging enforcement, focusing on cost savings instead of value optimization, and others. For each area, we will also explain what looks like and how to achieve it.
, , analyzes problem spaces including cultural impacts, guardrails, and shifting left. Of course, we will also examine how to improve our organization.
, , discusses pitfalls such as permission mismanagement, supply chain challenges, and reliance on penetration tests. We will step through transitioning into good habits.
, , explores application-related anti-patterns, such as tight coupling and stateful applications, and how to transition into good habits.
, , covers data-related anti-patterns, including manual data ingestion and a lack of data observability, and we will help you adopt good practices.
, , covers adopting future-proof network architectures after discussing network-related pitfalls, such as ignoring latency or bandwidth and not having a DNS strategy.
, , explores observability-related anti-patterns, such as capturing everything or ignoring ML and AI capabilities, which can burden our organization, and we will explore how to improve our observability.
, , discusses operational-related pitfalls, such as underestimating the learning curve and considering cloud service provider (CSP) SLAs. We will also discuss the adoption of good operational practices.
, , looks at migration anti-patterns, such as a lack of planning and stakeholder commitment or sticking to on-premises security controls, which will prevent successful cloud adoption, and we will discuss how to avoid these bad practices.
, , explores test-related pitfalls, such as ignoring non-functional requirements upfront or relying on manual testing, which do not scale and will slow us down. We will explore how to avoid these anti-patterns.
, , discusses how to prepare ourselves and our organization for a successful cloud adoption journey. We will summarize how to spot anti-patterns and define the best outcome.
, , dives deeper into stakeholder alignment, enhancing our roadmap, and setting our organization up for continuous improvement.
To get the most out of this book
To get the most out of this book, you will have some fundamental information technology knowledge, no matter whether your background is development, operations, testing, technical leadership, governance, security, or strategy. The book doesn’t require you to install software. To follow along with some of the hands-on examples, you can optionally create a free-tier account for AWS, Azure, or GCP.
Conventions used
There are a number of text conventions used throughout this book.
Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “ WARN: When a transient issue arises, such as a timeout during a payment request to AWS RDS, a WARN log is generated:”
A block of code is set as follows:
WARN: Payment service timeout - user_id=12345, transaction_id=txn001, retry_attempt=1When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
INFO: Payment initiated - user_id=12345, session_id=abc987, transaction_id=txn001, amount=49.99Any command-line input or output is written as follows:
gcloud services enable cloudasset.googleapis.comBold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “ Aggregate and Centralize Logs: Logs from each service are centralized using AWS CloudWatch Logs.”
Tips or important notes
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