Master operational excellence in Python with our expert-led training program focused on reliability, maintainability, and real-world DevOps integration.

Operations Driven Python:
Basic Training

Master operational excellence in Python with our expert-led training program focused on reliability, maintainability, and real-world DevOps integration.

Operations Driven Python:
Basic Training

At a glance

2 days

Individually schedulable

Completely
remote

Theory &
Practice

English

Build production-grade Python applications with a focus on operational excellence. Improve reliability, observability, and maintainability using real-world tools and patterns.

Our trusted partners

Agenda (example)

We are happy to create a customized agenda with you so that Python will be a breeze in the future.

Day 1

Building Operationally-Ready Python Applications

  1. The role of operability in the software development lifecycle
  2. Course overview: objectives, structure, and outcomes
  3. Understanding development lifecycles beyond team boundaries
  4. The SDLC from an operations perspective
  5. Integrating development and operations for continuous improvement
  6. Importance of SLAs (Service Level Agreements) and SOPs (Standard Operating Procedures)
  7. Creating, negotiating, and maintaining effective SLAs and SOPs
  1. CLI & REPLs:
    1. Building Command-Line Interfaces (CLI) for Python applications
    2. Using Python REPLs for interactive debugging and development
  2. gRPC and RESTful APIs:
    1. Designing scalable and efficient APIs
    2. Implementing gRPC and REST APIs with Python
    3. Documenting APIs using Swagger/OpenAPI
  • Structuring Python projects for reusability and clarity
  • Packaging with setuptools, pip, or poetry
  • Versioning strategies and dependency management best practices
  1. Introduction to Docker and core containerization concepts
  2. Containerizing Python applications
  3. Hosting applications with Docker Swarm
  1. Setting up CI/CD pipelines with tools like Jenkins or GitHub Actions
  2. Automating testing and deployment workflows
  3. Managing environments and configurations effectively
  4. Deployment strategies: blue-green, canary, and rolling updates
  5. Ensuring smooth rollouts through operational protocols

Day 2

Observability & Operational Transparency

  1. Using Airflow:
    1. Basics of workflow orchestration
    2. Designing and deploying automated pipelines
  2. Exploring Rundeck:
    1. Job scheduling with Rundeck
    2. Integrating Rundeck with Python-based operations
  1. Best practices for logging in Python
  2. Introduction to logging stacks: ELK, EFK, and Graylog
  3. Setting up and configuring centralized log management
  1. Foundations of observability and why it matters
  2. Instrumenting Python code for tracing, metrics, and logs with OpenTelemetry
  1. Using Grafana and EFK for operational dashboards
  2. Creating real-time visualizations for metrics and logs
  3. Dashboards for alerting, insights, and analytics

Experience a balanced mix of theory, live demonstrations and practical exercises.

Master the integration of operations-driven development into the software lifecycle, from CI/CD pipelines to containerization.

Learn how to build robust Python interfaces like CLIs and APIs, while managing observability and log management efficiently.

Implement automated testing, deployment, and monitoring strategies to ensure operational excellence in your Python applications.

In this Operations Driven Python Training, you will learn …

… how to write Python code that is production-ready, resilient, and easy to monitor. This includes best practices for logging, exception handling, observability, and integrations with CI/CD pipelines. You’ll dive into monitoring with Prometheus, error tracking with Sentry, and how to build Python apps that thrive in real-world, high-demand environments.
This course is ideal for Python developers and DevOps engineers who want to take their operational awareness to the next level.

Practical Applications That We Will Cover in the Training:

  • 1
    Hands-on experience with interface creation, software packaging, application containerization, and CI/CD pipeline management.
  • 2
    Knowledge of implementing observability, log management, task scheduling, and operations automation using various tools.
  • 3
    Understanding of how to design operationally excellent Python applications that enhance efficiency and quality.

After The Course, You Will Be Able To:

  • 1
    Design, implement, and manage interfaces, CI/CD pipelines, and containerization strategies for Python applications.
  • 2
    Implement observability, log management, and task scheduling effectively using various tools.
  • 3
    Use cutting-edge tools for monitoring and optimizing Python applications in real-time.
  • 4
    Bridge the gap between development and operations by mastering operations-driven development techniques.

The Operations Driven Python training is perfect for you if…

  • You want to gain a comprehensive understanding of operations-driven development and its integration into the software lifecycle.
  • You want to learn best practices for creating interfaces like CLIs and APIs in Python, as well as techniques for packaging, containerizing, and orchestrating Python applications.
  • You want to understand how to implement robust CI/CD pipelines for automated testing and deployment, and tools and strategies for log management, task scheduling, and operations automation.

The Operations Driven Python training is not suitable for you if…

  • You are a beginner in programming and do not have basic Python knowledge.
  • You are looking for an introductory course on Python development or DevOps.
  • You prefer a focus on don’t plan to write production code that needs to operatable

Hear from our satisfied training attendees

A1 Telekom Austria AG

„UTA coached my team along the development process of the migration plan of our on-premises data lake to the public cloud.

The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts.

The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly.

I highly recommend UTA’s services!“

Reinhard Burgmann
Head of Data Ecosystem

Vattenfall

„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.

The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!

Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.”

Bernard Benning
BA Heat

VP Bank

„The MLOps training exceeded our expectations!

It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.

This training not only provided us with knowledge but also practical skills that we can apply immediately.“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Hutchison Drei Austria GmbH

„The training Introduction to the Cloud with AWS and Azure impressed us! We particularly appreciated the excellent overview of the topics, the hands-on exercises, and the extensive practical activities that made the learned concepts directly applicable.

The content was well-structured, and the combination of theory and practical applications was ideal for our needs. The opportunity to clarify specific questions in the Q&A sessions was also extremely valuable. Overall, the training deepened our understanding of cloud computing and provided us with insights into the differences and strengths of AWS and Azure.

We now feel better prepared to make strategic decisions for our cloud strategy. Thank you for this excellent training!“

Eisele Peer
Lead Architect & Head of IT Integration & Development

Get to know your Training professionals

Marvin Taschenberger

Professional Software Architect, Ultra Tendency

Hudhaifa Ahmed

Senior Lead Big Data Developer & Berlin Territory Manager, Ultra Tendency

Matthias Baumann

Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency

Required hardware & infrastructure for your Operations Driven Python Training

  • You will need a PC or Mac with a web browser and MS Teams.
  • During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
  • You can access the machine via a browser or SSH if you wish and the network restrictions allow it.