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Roman Sheydvasser
Solutions Operations Lead
Datadog
Breaking Down Monoliths
DEM08-S
Your Story
@coderoman
Solutions Ops Lead
“Automate All The Things”
@datadoghq
SaaS-based monitoring
250+ integrations
Trillions of data points per day
https://datadoghq.com
What do you mean by “Microservices”?
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
You might be a Microservice if...
● Abstracted
● Reusable
● Autonomous
● Stateless
● Discoverable
● Composable
There is no real definition
Why Microservices?
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
Why…?
● Loose Coupling
● Greater Agility
● Faster to Market
● Better
Scalability
● Better Fault
Tolerance
● Platform &
Language
Agnostic
● Cloud-Ready
How to go about breaking apart code?
Identify Products
The Sandi Metz Rule
Preparing to Split
Preparing to Split
● Identify Current
Interactions
● Write Tests and
Monitors
● The Service’s
Contract (API +
SLA)
● Ensure Tests
and Monitors
Match App
Preparing to Split
● Identify Current
Interactions
● Write Tests and
Monitors
● The Service’s
Contract (API +
SLA)
● Ensure Tests
and Monitors
Match App
Preparing to Split
● Identify Current
Interactions
● Write Tests and
Monitors
● The Service’s
Contract (API +
SLA)
● Ensure Tests
and Monitors
Match App
Preparing to Split
● Identify Current
Interactions
● Write Tests and
Monitors
● The Service’s
Contract (API +
SLA)
● Ensure Tests
and Monitors
Match App
Breaking Off Chunks
Breaking Off Chunks
● Start with
Peripheral
Services
● Minimize
Dependencies
on Monolith
● Don’t be afraid
of Macro
Services
● Prioritize for
team velocity
Breaking Off Chunks
● Start with
Peripheral
Services
● Minimize
Dependencies
on Monolith
● Don’t be afraid
of Macro
Services
● Prioritize for
team velocity
Breaking Off Chunks
● Start with
Peripheral
Services
● Minimize
Dependencies
on Monolith
● Don’t be afraid
of Macro
Services
● Prioritize for
team velocity
Breaking Off Chunks
● Start with
Peripheral
Services
● Minimize
Dependencies
on Monolith
● Don’t be afraid
of Macro
Services
● Prioritize for
team velocity
Moving to Product-
Oriented Teams
Project vs Product,
and Funding Models
Charter the Product Team
Breaking Down Monoliths:
Conclusion
Roman Sheydvasser
Solutions Operations Lead
Datadog
DEM08-S

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Breaking down monoliths - DEM08-S - New York AWS Summit