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Python Essentials For Cloud Sres


Python Essentials For Cloud Sres
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Python Essentials For Cloud Sres


Python Essentials For Cloud Sres
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Author : Dilip Kumar Mondal
language : en
Publisher: Independently Published
Release Date : 2025-07-18

Python Essentials For Cloud Sres written by Dilip Kumar Mondal and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-18 with Computers categories.


Python Essentials for Cloud SRE: A Programming Approach is a practical, code-driven guide tailored for Site Reliability Engineers working in modern, multi-cloud environments. This book teaches Python through real-world SRE use cases, focusing on automation, observability, incident response, and infrastructure management across AWS, Azure, and Google Cloud Platform (GCP). Each chapter introduces a core operational challenge and walks through Python-based solutions using widely adopted libraries and SDKs such as boto3, azure-mgmt, google-cloud, and kubernetes. The book also dives into database automation, demonstrating how to use Python to manage and monitor Oracle and PostgreSQL databases-covering tasks like backup orchestration, health checks, query automation, and performance tuning. Readers will learn to build tools that automate cloud resource provisioning, manage secrets securely, expose custom metrics to Prometheus, and integrate with CI/CD pipelines using YAML and GitOps workflows. With a strong emphasis on reliability, testing, and security, the book introduces modules like pytest, tenacity, cryptography, and vault-api, ensuring that readers not only automate but do so safely and resiliently. Whether you're building internal tools, scaling infrastructure, or responding to incidents, this book equips you with the Python skills and cloud context needed to operate reliably at scale. Perfect for both aspiring and experienced SREs, this book bridges the gap between software engineering and operations using a programming-first mindset.



Python Essentials For Aws Cloud Developers


Python Essentials For Aws Cloud Developers
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Author : Serkan Sakinmaz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-19

Python Essentials For Aws Cloud Developers written by Serkan Sakinmaz 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 2023-05-19 with Computers categories.


A comprehensive guide to implementing Python applications in AWS while learning about key AWS services Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain hands-on experience in AWS services to effectively implement Python programming Utilize Python with open source libraries to develop data pipelines, APIs, and database applications Leverage the power of AWS to create a cloud-based server and use monitoring and logging features Book Description AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You'll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you'll be able to take your application development skills up a notch with AWS services and advance in your career. What you will learn Understand the fundamentals of AWS services for Python programming Find out how to configure AWS services to build Python applications Run and deploy Python applications using Lambda, EC2, and Elastic Beanstalk Provision EC2 servers on AWS and run Python applications Debug and monitor Python applications using PyCharm and CloudWatch Understand database operations on AWS by learning about DynamoDB and RDS Explore the API gateway service on AWS using Python to grasp API programming Who this book is for This book is for cloud developers, software developers, and IT specialists who want to develop Python applications on AWS as well as learn the concepts underlying AWS services for implementing the applications. Experience in Python programming is needed to be able to implement the applications on AWS.



Confident Cloud


Confident Cloud
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Author : Adora Nwodo
language : en
Publisher: Kogan Page Publishers
Release Date : 2024-07-03

Confident Cloud written by Adora Nwodo and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Computers categories.


94% of all enterprises depend upon cloud services. Gain the edge in your career with this essential guide to the fundamental concepts and platforms of cloud computing. Cloud computing is part of our everyday lives, from cloud backups of personal data to cloud platforms powering businesses around the world. But do you really understand how cloud computing works? This comprehensive guide demystifies key concepts and gives you the confidence you need to succeed in this sector. Confident Cloud includes key concepts from FinOps and DevOps to Kubernets and automation. This is supported by practical guidance on working in the industry, alongside a variety of fascinating case studies, clarifying how cloud infrastructure is effectively deployed and maintained. About the Confident series... From coding and data science to cloud and cybersecurity, the Confident books are perfect for building your technical knowledge and enhancing your professional career.



Observability For Legacy Systems


Observability For Legacy Systems
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Author : Hyen Seuk Jeong
language : en
Publisher: Springer Nature
Release Date : 2025-08-30

Observability For Legacy Systems written by Hyen Seuk Jeong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-30 with Computers categories.


Become an expert in implementing observability methods for legacy technologies and discover how to use AIOps and OpenTelemetry to analyze root causes and solve problems in banking and telecommunications. Through this book, you will engage with issues that occur in kernels, networks, CPU, and IO by developing skills to handle traces and logs, as well as Profiles (eBPF) and debugging. The real-world examples in the book will enable you to analyze and aggregate observability data, helping you gain competence in automating systems and resolving business-critical issues rapidly and efficiently. The book will introduce you to new observability approaches, describe different types of errors, and explain how observability addresses them. It will provide training on how to develop dashboards and charts and design a root cause analysis process. Emphasizing trace-centric observability, you will gain expertise in using EAI servers to integrate legacy tech and using extensions to complement the OpenTelemetry Agent. You will also understand the varied practical uses of OpenTelemetry through examples from multiple industries, as well as an OpenTelemetry demo application. The book then takes you through infrastructure observability and infrastructure anomaly detection, enabling you to visualize and trace problems, and helping you identify and proactively respond to anomalies in system resources. In the final chapters, you will learn how to aggregate and analyze observability data using Presto and Druid. Finally, you will familiarize yourself with AIOps and learn how to implement it with Langchain and RAGs. By the end of this book, you will be fully trained in the practical implementation of observability and using observability data to identify, analyze, and solve problems for large industries like finance and telecommunications. What You Will Learn Integrate observability with legacy technology Perform root cause analysis using observability platforms like OpenTelemetry Analyze and aggregate observability data to solve business problems Use AIOps and anomaly detection tools to automate operations and reduce costs Who This Book Is For System developers, data engineers, SREs, infrastructure engineers, system architects, Java developers, and DevOps engineers who are enthusiastic about observability and want to implement it with legacy technology.



Python Essentials You Always Wanted To Know


Python Essentials You Always Wanted To Know
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Author : Vibrant Publishers
language : en
Publisher: Vibrant Publishers
Release Date : 2024-12-09

Python Essentials You Always Wanted To Know written by Vibrant Publishers and has been published by Vibrant Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Computers categories.


Learn Python the Easy Way with No Prior Experience! Key Features include: i. Comprehensive coverage of Python basics ii. Ideal for beginners and career changers iii. Real-world applications and case studies iv. Practical examples and quizzes for reinforcement Get ready to program with Python- one of the most in-demand skills of this decade! If you are interested in learning programming, but not sure where to start, Python Essentials You Always Wanted to Know is your guide to learning Python, one of the most versatile and beginner-friendly programming languages. This book is designed with absolute beginners in mind, focusing on clear explanations and practical examples rather than technical jargon. Regardless of skill level, there’s something here for everyone, from the basics of programming logic to more advanced topics like object-oriented programming and error handling. Whether you’re a student, a professional transitioning into tech, or simply curious about coding, this book will help you to think like a programmer and enhance your programming skills. The book also includes a chapter dedicated to case studies, giving you the opportunity to practice and apply the discussed concepts. Additionally, you will gain exclusive access to an online glossary of functions and methods mentioned throughout the book to help you retain and understand crucial programming terms. After reading this book, you’ll be able to: i. Understand programming fundamentals and Python syntax ii. Apply data structures, functions, and modular programming iii. Implement object-oriented principles in your projects iv. Leverage Python for data analysis and business insights Part of Vibrant Publishers’ Self-Learning Management Series, the book serves as a valuable guide for developing programming skills to complement your existing expertise and advance your career.



Python For Devops


Python For Devops
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Author : Noah Gift
language : en
Publisher: O'Reilly Media
Release Date : 2020-02-04

Python For Devops written by Noah Gift 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 2020-02-04 with Computers categories.


Python for DevOps shows you how to harness Python for everyday Linux systems administration tasks, as well as today's most useful devops tools, including Docker, Kubernetes, and Terraform. Embrace automation and you'll never look at a boring task the same way again.



Python For Data Engineering And Analytics


Python For Data Engineering And Analytics
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Author : Avis Gabe
language : en
Publisher: Independently Published
Release Date : 2025-05-25

Python For Data Engineering And Analytics written by Avis Gabe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-25 with Computers categories.


Are you ready to master the art of building efficient, scalable data pipelines with Python? Python for Data Engineering and Analytics offers a clear, practical guide to designing, automating, and optimizing data workflows that power today's data-driven organizations. This book takes you step-by-step through foundational concepts and hands-on techniques-covering data ingestion, transformation, orchestration, and advanced analytics. Learn how to handle diverse data sources, manage environments, implement robust testing, and integrate machine learning within your pipelines. Explore modern architectures like streaming, batch processing, and cloud-native deployments to build resilient systems that scale effortlessly. What makes this book stand out? It covers everything you need in one place, including: Foundations of data engineering and Python essentials Data acquisition from files, databases, APIs, and cloud storage Cleaning and transforming data at scale with Pandas, Dask, and PySpark Designing data models, managing schema evolution, and data warehousing Building, automating, and orchestrating ETL/ELT pipelines with Airflow and Prefect Working with big data and real-time streaming technologies Advanced analytics, visualization, and interactive dashboard creation Integrating machine learning into data workflows Cloud data platform architectures, serverless engineering, and cost optimization Best practices for security, governance, version control, testing, and collaboration Real-world case studies demonstrating end-to-end solutions Whether you're a data engineer, analyst, or software developer looking to expand your skillset, this book equips you with practical strategies and code examples to confidently build production-ready pipelines. Embrace modern data engineering principles and accelerate your ability to turn raw data into actionable insights. Start building scalable, reliable, and efficient data systems today-transform your data workflows and drive meaningful business outcomes with Python.



Devops In Python


Devops In Python
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Author : Moshe Zadka
language : en
Publisher: Apress
Release Date : 2019-06-04

Devops In Python written by Moshe Zadka and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Computers categories.


Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines. Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. ​Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding. What You'll Learn Use third party packages and create new packages Create operating system management and automation code in Python Write testable code, and testing best practices Work with REST APIs for web clients Who This Book Is For Junior or intermediate sysadmin who has picked up some bash and Python basics.



Python For Cloud Engineers


Python For Cloud Engineers
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Author : Greyson Chesterfield
language : en
Publisher: Independently Published
Release Date : 2025-08-05

Python For Cloud Engineers written by Greyson Chesterfield and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-05 with Computers categories.


Master the art of cloud automation with Python, the most versatile programming language for DevOps, infrastructure engineers, and cloud architects. Python for Cloud Engineers is your practical guide to building reliable, scalable, and secure cloud infrastructure using Python and Boto3 - the powerful AWS SDK for Python. Whether you're managing EC2 instances, automating S3 storage, or orchestrating entire cloud environments, this book equips you with hands-on techniques to streamline operations, eliminate manual tasks, and accelerate deployments. Inside, you'll discover: Essential Python foundations tailored for cloud automation Step-by-step projects using Boto3 to manage AWS services Automating EC2, S3, Lambda, IAM, and CloudFormation Real-world infrastructure-as-code (IaC) patterns Error handling, security best practices, and scaling strategies Integrating Python scripts with CI/CD pipelines From automating server provisioning to crafting resilient cloud solutions, this book helps you go beyond theory with practical examples and production-ready code. Ideal for system administrators, DevOps engineers, and developers looking to elevate their cloud expertise with Python.



Hands On Python For Devops


Hands On Python For Devops
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Author : Ankur Roy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-15

Hands On Python For Devops written by Ankur Roy 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 2024-03-15 with Computers categories.


Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and Azure Key Features Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration Combine the principles of Python and DevOps into a unified approach for problem solving Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learn Implement DevOps practices and principles using Python Enhance your DevOps workloads with Python Create Python-based DevOps solutions to improve your workload efficiency Understand DevOps objectives and the mindset needed to achieve them Use Python to automate DevOps tasks and increase productivity Explore the concepts of DevSecOps, MLOps, DataOps, and more Use Python for containerized workloads in Docker and Kubernetes Who this book is for This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.