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Creating a Kafka Topic. Super easy?
Making developers productive on Kafka requires giving self-
service access. But even something as seemingly straightforward
as Topic creation is not so easy, and in some cases can lead to
catastrophe.
In this talk we’ll share and demonstrate different approaches for
developers to safely create Kafka Topics whilst sharing a few war
stories of what can go wrong along the way.
Creating a Topic
Super easy?
Andrew Stevenson
CTO
Marios Andreopoulos
Head of Eng. Ops
#KafkaSummit21
@lensesio
Agenda
Considerations
when offering
self-service topic
management
Best practices
for creating
topics
Demo of
different topic
creation options
Developer
Platform Engineer
Productive & no friction
Platform availability, perf,
hygiene & compliance
Offering self-service for Kafka
$ kafka-topics.sh
--bootstrap-server broker.url:9093 
--command-config /path/to/ssl-client.props 
--create --topic quickstart-events 
--partitions 15 --replication-factor 3 
--config cleanup.policy=compact 
--retention.bytes=1000000000 
--retention.ms=604800000
Creating a topic as an example. Easy, right?
Small things have a big impact
When creating a topic...
Partitions: How Kafka Scales
● Data between partitions need to be orthogonal
● Changing number of partitions would re-key new messages
● Too many partitions, more metadata, etc
Partitions and Retention
● Retention applies to partitions
● Retention of 10GB for 100 partitions means at least 1TB of disk space
● Log segment size can mean at least X TB of disk space
● More partitions, more metadata
Replication
● Kafka was created so the bottleneck is your network
● Too high replication may saturate the network
● Replication can affect delay between producing and consuming a message
● Low replication affects availability
Do you have auto.create.topics.enable true?
War Stories
● Bringing broker down with a long topic name
● Filling a disk with messages from the future
● Breaking Metrics
How can Lenses
help?
Put guardrails to config
Control capacity
Enforce policies
Guard configs
Enable namespacing
Add metadata
Make it discoverable
Document what is this about
Classify topics with relevant content
Authorize access
Think of naming conventions ( you can’t change names )
Map names to Namespaces
Namespaces can drive your security and governance strategy (such as with ACLs)
Track user activity
Meet compliance
Root cause analysis
Go production!
Automate the process
“Topics-as-code”
Automate & CI/CD
Create your GitOps strategy
name: red_barons
replication: 1
partitions: 3
configs:
retention.ms: "1440000"
segment.bytes: "104857600"
description: "awesome topic"
tags: ["tag1", "tag2" ]
Options for how to govern topic creation
Free for all
Happy
developers, Ops
plan for bad days
Highly
constrained
Highly
constrained but
automated
100% Self-serve
ServiceNow,
Email, Jira,
Slack… backlogs
More like a PR...
Guardrails …
Tooling for Apache Kafka &
Kubernetes
Commercial offering for Kafka & Kubernetes
>1 Million
Downloads
>5000
Github Stars
A new way of working
with real-time data:
DataOps
A developer workspace
for building & operating
real time applications
on Kafka
We help companies build
digital services with real-time
data
We’re hiring
Demo
Next steps
Free Kafka & Lenses Docker Lenses for your Kafka free
trial
lenses.io/box
lenses.io/start
THANK YOU

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Creating a Kafka Topic. Super easy? | Andrew Stevenson and Marios Andreopoulos, Lenses

  • 1. Creating a Kafka Topic. Super easy? Making developers productive on Kafka requires giving self- service access. But even something as seemingly straightforward as Topic creation is not so easy, and in some cases can lead to catastrophe. In this talk we’ll share and demonstrate different approaches for developers to safely create Kafka Topics whilst sharing a few war stories of what can go wrong along the way.
  • 2. Creating a Topic Super easy? Andrew Stevenson CTO Marios Andreopoulos Head of Eng. Ops #KafkaSummit21 @lensesio
  • 3. Agenda Considerations when offering self-service topic management Best practices for creating topics Demo of different topic creation options
  • 4. Developer Platform Engineer Productive & no friction Platform availability, perf, hygiene & compliance Offering self-service for Kafka
  • 5. $ kafka-topics.sh --bootstrap-server broker.url:9093 --command-config /path/to/ssl-client.props --create --topic quickstart-events --partitions 15 --replication-factor 3 --config cleanup.policy=compact --retention.bytes=1000000000 --retention.ms=604800000 Creating a topic as an example. Easy, right?
  • 6. Small things have a big impact
  • 7. When creating a topic...
  • 8. Partitions: How Kafka Scales ● Data between partitions need to be orthogonal ● Changing number of partitions would re-key new messages ● Too many partitions, more metadata, etc
  • 9. Partitions and Retention ● Retention applies to partitions ● Retention of 10GB for 100 partitions means at least 1TB of disk space ● Log segment size can mean at least X TB of disk space ● More partitions, more metadata
  • 10. Replication ● Kafka was created so the bottleneck is your network ● Too high replication may saturate the network ● Replication can affect delay between producing and consuming a message ● Low replication affects availability
  • 11. Do you have auto.create.topics.enable true?
  • 12. War Stories ● Bringing broker down with a long topic name ● Filling a disk with messages from the future ● Breaking Metrics
  • 14. Put guardrails to config Control capacity Enforce policies Guard configs Enable namespacing
  • 15. Add metadata Make it discoverable Document what is this about Classify topics with relevant content
  • 16. Authorize access Think of naming conventions ( you can’t change names ) Map names to Namespaces Namespaces can drive your security and governance strategy (such as with ACLs)
  • 17. Track user activity Meet compliance Root cause analysis Go production!
  • 18. Automate the process “Topics-as-code” Automate & CI/CD Create your GitOps strategy name: red_barons replication: 1 partitions: 3 configs: retention.ms: "1440000" segment.bytes: "104857600" description: "awesome topic" tags: ["tag1", "tag2" ]
  • 19. Options for how to govern topic creation Free for all Happy developers, Ops plan for bad days Highly constrained Highly constrained but automated 100% Self-serve ServiceNow, Email, Jira, Slack… backlogs More like a PR... Guardrails …
  • 20. Tooling for Apache Kafka & Kubernetes Commercial offering for Kafka & Kubernetes >1 Million Downloads >5000 Github Stars
  • 21. A new way of working with real-time data: DataOps A developer workspace for building & operating real time applications on Kafka
  • 22. We help companies build digital services with real-time data
  • 24. Demo
  • 25. Next steps Free Kafka & Lenses Docker Lenses for your Kafka free trial lenses.io/box lenses.io/start