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

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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.

Tecnología

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?

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

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

Next steps
Free Kafka & Lenses Docker Lenses for your Kafka free
trial
lenses.io/box
lenses.io/start

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