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Prefect
Tools for dealing with complex systems
Jeff Hale prefect.io
April 2023
What?
Prefect
Tools for interacting with complex
systems
Prefect
Flexible & scalable
Python data
orchestrator 🐍📊🏗
Marvin
Batteries-included library
for building
AI-powered software
🤖🪄
Prefect
Tools for interacting with complex
systems
Prefect
The flexible and scalable
Python data orchestrator 🐍📊🪄
Who’s talking?
Jeff Hale
Developer Advocate
● Teach 🍎
● Write ✍
● Organize events 🫂
Jeff + Marvin
Also bad puns - courtesy of Marvin
Why did the data scientist break up with her
boyfriend?
Because he couldn't handle her discrete values!
Why an
orchestrator?
“I have some tasks, I need
to make sure they happen.”
- Jeremiah Lowin, Prefect CEO
“Everything fails all the
time.”
- Werner Vogels, AWS CTO
Logging
● Logging
● UI visibility
● Automatic retries
● Notifications
● Caching
● Scheduling
● Event-driven workflows
Observability Orchestration
Event monitoring
Logging
Automations
Retries
Concurrency
limits
Parallelization
Data dependencies
Scheduling
Background
Prefect Origins
Jeremiah Lowin
● Ported Airflow to Python 3
● Former Airflow PMC member
● Wrote XComs
Prefect Origins
Founded Prefect to:
● Handle workloads Airflow wasn’t designed for
● Treat data in a first class way
● Improve user experience
Background
● 2018 PyData talk
● 2019 Prefect released
● 2022 Prefect 2.0 released
Prefect Today
🐍 Open source Prefect library
☁ Cloud platform
AI assistant in your code
📈 Strong and growing company
Stats
GitHub Forks 🍴
1,000+
GitHub Stars ⭐
10,000+
Community Slack Members
20,000+
prefect.io/slack
Weekly Downloads
200,000+
Cloud task runs
2,000,000,000+
Features
Features
1. Scalable
2. Flexible
3. Observability
4. Event driven
1. Scalable
Can run and observe thousands of flows in the UI
YouTube Video: Orchestrate Your Data Science Workflows at
Scale using Anyscale and Prefect and Featuring LiveEO
Scalable
2. Flexible
Just bring your Python code
(even 3.11)
Image: www.python.org, GPL, https://commons.wikimedia.org/w/index.php?curid=34991651
2. Flexible
● DAGs are fine, but also restricting.
● Prefect doesn’t require you to predefine a DAG.
● Logging in the CLI & UI
● Timeline view
● Collaborators
● Notifications
3. Observability
4. Event-driven workflows
Events provide observability and drive Automations
Automations = Trigger then Action
4. Event-driven workflows
4. Event-driven workflows
One more thing: DX ❤
● Clear, well-documented API
● Blocks: configuration + code
● Fast release velocity
● Supportive community
prefect.io/guide/blog/blocks-connectors-for-code
API
Blocks 🧱
Frequent Releases 🚀
Supportive Community 🤗
Server or Cloud?
Prefect
1. Automatic logging
2. Automatic retries
3. Scheduling
4. Notifications
5. Caching
6. Simplified async
7. Integrations
8. Pythonic incremental adoption
9. Informative UI
10. Blocks
Prefect Cloud
1. SSO
2. RBAC
3. Collaborative UI
4. Hybrid model
5. Automations
6. Events
7. Super scalable
8. Strong security
9. Free forever tier
10. Self serve tier
Hybrid model
Why Server?
1. You really enjoy setting up and maintaining
server infrastructure 😅
2. Particular needs that mean you can’t use a
cloud solution
Solution for large users: Prefect Dedicated
Cloud
How?
Install
pip install -U prefect
How?
● Sprinkle flow & task decorators into Python
● Log in to Prefect Cloud
● Invite collaborators
● Create a deployment
● Start an agent/worker
Integrations
Marvin
Why do programmers prefer dark mode?
Because light attracts too many data
bugs! 🐛
Doing it
Plain Python 🐍
Writes out cat fact and prints message
(if all goes well)
Enlightening cat fact 🐱
Prefectionized Python 🐍
● Add flow and task decorators
● Writes out cat fact and prints message +
helpful logs
Logs
Want retries? 🪄
Want retries? 🪄
Bundle flow into a deployment
Deployment
● Specify flow code storage (Cloud providers/repos)
● Define infrastructure (Docker, K8s, ECS, etc.)
● Schedule
Doing it at scale
Schedule
Scalable
2,000 tasks
Scalable
● Parallelize with dask
● Can run locally or distributed
Scalable
Scalable
Scalable
Marvin
Why do data analysts like looking at pie
charts?
Because they're sweet and delicious! 🥧
Transitioning from
Airflow
Airflow
Option 1
Airflow with Prefect Event
Observation
Airflow
Airflow with Prefect Event Observation
Option 2
Airflow with Prefect Flows
Airflow with
Prefect Flows
(Part 1)
Airflow with
Prefect Flows
(Part 2)
Airflow with Prefect Flows
In Airflow
Airflow with Prefect Flows
In Prefect
Why Prefect?
Prefect Customer Quotes
● “I can go from thought to production 5x
faster.”
● “We used to spend 20% of our time (and up
to 80% at times) on errors. [With Prefect,]
we're approaching 5%, a 75% reduction.”
Prefect Customer Quotes
● “...can't imagine how anyone wouldn't like it.”
● “We love prefect, it works and makes our
lives easier.”
● “ It addresses many of the pain points
common to more complicated tools like
Airflow.”
Advice
● Use what’s working
● Need scale?
● Need flexibility?
● Need observability across your stack?
● Need event-driven workflows?
● Need nicer UX?
Check out Prefect
Prefect
Observe everything 🧐
Orchestrate anything 🪄
Prefect Training Opportunities 🍎
San Francisco
eventbrite.com/e/prefect-associate-certification-course-san-francisco-tickets-450754347387
Online
eventbrite.com/e/prefect-practitioner-certification-course-live-online-june-14-2023-tickets-600839907337
London
eventbrite.com/e/prefect-associate-certification-course-london-tickets-476657915657
Discount Code for 20% off: AirflowParis20
One more thing…
Introducing Marvin
Marvin
pip install marvin
askmarvin.ai
Marvin
Marvin
Marvin AI Functions
pip install marvin
askmarvin.ai
Prefect
Tools for interacting with complex
systems
Prefect
Flexible & scalable
Python data
orchestrator 🐍📊🏗
Marvin
Batteries-included library
for building
AI-powered software
🤖🪄
Thank you!
Jeff Hale prefect.io
April 2023 linkedin.com/in/-jeffhale/

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Prefect Paris Airflow Meetup Jeff Hale April 2023.pdf