Microservice architecture (MSA) helps address modern software development needs by breaking applications into independently deployable microservices that communicate asynchronously. MSA evolves past SOA approaches by focusing on small, single-purpose services rather than large monolithic applications. Key aspects of MSA include ubiquitous language, well-defined boundaries, independent deployability, asynchronous communication via messaging, and each service owning its own data. MSA also relies on modern cloud-ready infrastructure approaches like service discovery, elastic scaling, and failure resilience at the service level rather than relying on specific hardware.
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Microservices, Monoliths, SOA and How We Got Here
1.
2.
3. Expectationsare
changing
» real-time (latency of 1
second, not 1 day)
» users are always connected
» mission-critical use cases
» consistent experience more
important than peak
performance
4. We used towrite
programs...
» for single servers and VMs
» for single cores
» that expect local
communications (call stack)
» that expect small data
snapshots (data fits into
memory)
5. Nowwewrite
programs...
» that must exploit clusters
» that must exploit multi-
core CPUs (even on cell
phones!)
» that must work across async
boundaries (threads,
networks)
» that must process streams
(i.e, data without limits)
17. SOAframework
» Problems arise when we
attempt to contradict the
spirit of SOA
» Central control +
location transparency
» Rigid specifications +
flexibility
» Transactions +
distribution
» Etc
21. ESB
Stateless:
messaging, message exchange patterns (sync req/resp,
async p2p messaging, pub/sub, streams), routing,
service orchestration (service aggregation), security
(encryption and signing), monitoring, protocol
conversion, legacy adapters, payload transformation,
schema validation, governance (the ability to apply
business rules uniformly), service catalog
22. ESB
Stateful:
process choreography (BPM), complex event processing
(CEP), reliable delivery, transaction management,
split and merge (conflating, windowing, ordering)
23. heritage systems
» Productivity depends on
working within the system
context
» ESB and other heritage
systems infrastructure
creates difficult
productivity barriers for
developers
25. "Jack of all trades, master of none,
often times better than the master of one."
Give up control to gain flexibility.
Embrace new patterns to achieve balance.
34. Microservices
» Ubiquitous language
» Well defined models &
boundaries
» Single responsibility
» Independently deployable,
scalable, resilient
» Communicate via async
messaging
» Own their data
» Don't expose a public API
36. We needto buildapplications...
» that exploit clusters
» that exploit multi-core CPUs
» that work across async boundaries
» that process streams
37. Physical
infrastructure
» Nodes across multiple DCs
are considered part of the
same system
» Physical infrastructure
abstracted away from system
world view
38. Cluster
infrastructure
» Nodes can join or leave the
cluster
» Services are rebalanced
across the cluster
» Node failure doesn't equal
system failure
39. Service
infrastructure
» View the world through
services
» Service replicas provide
elasticity and resilience
» Support multiple versions
of a service, etc
41. API Gateway
» Some ESB functionality is
moved into API gateways
» routing, service
aggregation, security
(encryption and
signing), protocol
conversion, legacy
adapters, payload
transformation, service
catalog
42. Microservices
» Microservices become the
core communication
abstraction within a system
» async p2p, pub/sub
» streams (split and merge
(conflating, windowing,
ordering), complex event
processing (CEP))
43. Modeling
» process choreography (BPM)
becomes DDD (domain driven
design)
» single canonical model
becomes many canonical
models
» ubiquitous language
» well defined interfaces