Holdings Information

Bibliographic Record Display

• Author/Creator:Roy, Ankur.
  
• Title:Hands-On Python for DevOps [electronic resource] : Leverage Python's Native Libraries to Streamline Your Workflow and Save Time with Automation.
  
• ISBN:9781835081495
  1835081495
  1835081169
  9781835081167
  
• Published/Created:Birmingham : Packt Publishing, Limited, 2024.
  
• Physical Description:1 online resource (220 p.)
  
• Links:Online book
  

• Yale Holdings

  Holdings Record Display

  • Location:Yale Internet Resource
    Information about Off Campus Access
    
    
  • Call Number: None
    
  • Status:No information available 
  • Notes: Online resource
    

   
• Local Notes:Access is available to the Yale community.
  
• Notes:Description based upon print version of record.
  Sample 1: Running fleet maintenance on multiple instance fleets at once
  
• Access and use:Access restricted by licensing agreement.
• Summary:Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate Python into DevOps for streamlined workflows, task automation, and improved collaborationCombine the principles of Python and DevOps into a unified approach for problem solving.
  
• Variant and related titles:O'Reilly Safari. OCLC KB.
  
• Other formats:Print version: Roy, Ankur Hands-On Python for DevOps Birmingham : Packt Publishing, Limited,c2024
  
• Format:Book
• Contents:Cover -- Title Page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction to DevOps and role of Python in DevOps -- Chapter 1: Introducing DevOps Principles -- Exploring automation -- Automation and how it relates to the world -- How automation evolves from the perspective of an operations engineer -- Understanding logging and monitoring -- Logging -- Monitoring -- Alerts -- Incident and event response -- How to respond to an incident (in life and DevOps) -- Site reliability engineering -- Incident response teams -- Post-mortems
  Understanding high availability -- SLIs, SLOs, and SLAs -- RTOs and RPOs -- Error budgets -- How to automate for high availability? -- Delving into infrastructure as a code -- Pseudocode -- Summary -- Chapter 2: Talking about Python -- Python 101 -- Beautiful-ugly/explicit-implicit -- Simple-complex-complicated -- Flat-nested/sparse-dense -- Readability-special cases-practicality-purity-errors -- Ambiguity/one way/Dutch -- Now or never -- Hard-bad/easy-good -- Namespaces -- What Python offers DevOps -- Operating systems -- Containerization -- Microservices
  A couple of simple DevOps tasks in Python -- Automated shutdown of a server -- Autopull a list of Docker images -- Summary -- Chapter 3: The Simplest Ways to Start Using DevOps in Python Immediately -- Technical requirements -- Introducing API calls -- Exercise 1 -- calling a Hugging Face Transformer API -- Exercise 2 -- creating and releasing an API for consumption -- Networking -- Exercise 1 -- using Scapy to sniff packets and visualize packet size over time -- Exercise 2 -- generating a routing table for your device -- Summary -- Chapter 4: Provisioning Resources -- Technical requirements
  Python SDKs (and why everyone uses them) -- Creating an AWS EC2 instance with Python's boto3 library -- Scaling and autoscaling -- Manual scaling with Python -- Autoscaling with Python based on a trigger -- Containers and where Python fits in with containers -- Simplifying Docker administration with Python -- Managing Kubernetes with Python -- Summary -- Part 2: Sample Implementations of Python in DevOps -- Chapter 5: Manipulating Resources -- Technical requirements -- Event-based resource adjustment -- Edge location-based resource sharing -- Testing features on a subset of users
  Analyzing data -- Analysis of live data -- Analysis of historical data -- Refactoring legacy applications -- Optimize -- Refactor -- Restart -- Summary -- Chapter 6: Security and DevSecOps with Python -- Technical requirements -- Securing API keys and passwords -- Store environment variables -- Extract and obfuscate PII -- Validating and verifying container images with Binary Authorization -- Incident monitoring and response -- Running runbooks -- Pattern analysis of monitored logs -- Summary -- Chapter 7: Automating Tasks -- Automating server maintenance and patching
  
• Subjects:Python (Computer program language)
  Computer software--Development.