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Microservices: from Netflix OSS to
Istio Service Mesh
Christian Posta (@christianposta)
Senior Principal Solutions Architect
Christian Posta
Senior Principal Solutions Architect
Twitter: @christianposta
Blog: http://blog.christianposta.com
Email: christian@redhat.com
Slides: http://slideshare.net/ceposta
• Author “Microservices for Java developers”
• Committer/contributor lots of open-source projects
• Worked with large Microservices, web-scale,
unicorn company
• Blogger, speaker
Atlanta Microservices Day: Istio Service Mesh
Microservices are
distributed systems
@christianposta
The network… does what it wants.
@christianposta
As we move to services architectures,
we push the complexity to the space
between our services.
@christianposta
Have we had to solve for this in the past?
@christianposta
http://bit.ly/application-networking@christianposta
http://bit.ly/application-networking@christianposta
http://bit.ly/application-networking@christianposta
Microservices libraries
http://bit.ly/application-networking@christianposta
• Netflix Hystrix (circuit breaking / bulk heading)
• Netflix Zuul (edge router)
• Netflix Ribbon (client-side service discovery / load balance)
• Netflix Eureka (service discovery registry)
• Brave / Zipkin (tracing)
• Netflix spectator / atlas (metrics)
“Microservices” patterns
But I’m using Spring!
• spring-cloud-netflix-hystrix
• spring-cloud-netflix-zuul
• spring-cloud-netflix-eureka-client
• spring-cloud-netflix-ribbon
• spring-cloud-netflix-atlas
• spring-cloud-netflix-spectator
• spring-cloud-netflix-hystrix-stream
• …..
• ......
• @Enable....150differentThings
But I’m using Vert.x!
• vertx-circuit-breaker
• vertx-service-discovery
• vertx-dropwizard-metrics
• vertx-zipkin?
• …..
• ......
@christianposta
Screw Java - I’m using NodeJS!
JavaScript is for rookies, I use Go!
But python is so pretty!
I prefer unreadability… Perl for me!
@christianposta
Get the point?
@christianposta
Things you must solve for because…
distributed systems
• Service discovery
• Retries
• Timeouts
• Load balancing
• Rate limiting
• Thread bulk heading
• Circuit breaking
@christianposta
…continued
• Routing between services (adaptive, zone-aware)
• Deadlines
• Back pressure
• Outlier detection
• Health checking
• Traffic shaping
• Request shadowing
@christianposta
…continued
• Edge/DMZ routing
• Surgical / fine / per-request routing
• A/B rollout
• Internal releases / dark launches
• Fault injection
• Stats, metric, collection
• Logging
• Tracing
These are all horizontal concerns
and apply to all services regardless
of implementation.
@christianposta
Drawbacks to library approach
• need one for each combination language/framework
• need to maintain, upgrade, retire
• classpath/namespace pollution
• increases operational complexity
• force specific languages
• inconsistency
• correctness
Let’s abstract this functionality to a single
binary and apply to all services.
• Allow heterogeneous architectures
• Remove application-specific implementations of this
functionality
• Consistently enforce these properties
• Correctly enforce these properties
• Opt-in as well as safety nets
@christianposta
@christianposta
Evolution of application networking
Meet Envoy Proxy
http://envoyproxy.io
Envoy is…
• service proxy
• written in C++, highly parallel, non-blocking
• L3/4 network filter
• out of the box L7 filters
• HTTP 2, including gRPC
• baked in service discovery/health checking
• advanced load balancing
• stats, metrics, tracing
• dynamic configuration through xDS
@christianposta
Envoy implements
• zone aware, least request load balancing
• circuit breaking
• outlier detection
• retries, retry policies
• timeout (including budgets)
• traffic shadowing
• rate limiting
• access logging, statistics collection
• Many other features!
As an edge proxy
As an shared proxy
As a service-instance proxy
Service instance proxy AKA
Sidecar
Atlanta Microservices Day: Istio Service Mesh
Quick demo?
@christianposta
https://vimeo.com/252272973
Service mesh
“2018 is the year of the service mesh”
Clayton Coleman (@smarterclayton)
Red Hat OpenShift Platform Architect
@christianposta
How do we reason about a fleet of
these service proxies in a large cluster?
@christianposta
A service mesh is decentralized application-
networking infrastructure between your services
that provides resiliency, security, observability,
and routing control.
A service mesh is comprised of a data plane
and control plane.
@christianposta
Time for definitions:
All traffic between our applications flows
through these proxies. The proxies make
up the “data plane”
@christianposta
Meet Istio.io
http://istio.io
A control plane for service proxies
Atlanta Microservices Day: Istio Service Mesh
Atlanta Microservices Day: Istio Service Mesh
Atlanta Microservices Day: Istio Service Mesh
Atlanta Microservices Day: Istio Service Mesh
Atlanta Microservices Day: Istio Service Mesh
What higher-order clusters semantics
does Istio enable?
• Service observability
• Graduated deployment and release
• Policy enforcement
• Cluster reliability
• Chaos testing
http://bit.ly/like-a-unicorn
Demo!
@christianposta
https://vimeo.com/252272433
Thanks!
BTW: Hand drawn diagrams made with Paper by FiftyThree.com 
Twitter: @christianposta
Blog: http://blog.christianposta.com
Email: christian@redhat.com
Slides: http://slideshare.net/cepostaFollow up links:
• http://envoyproxy.io
• http://istio.io
• http://blog.christianposta.com/istio-workshop/slides/
• http://launch.openshift.io
• http://blog.openshift.com
• http://developers.redhat.com/blog
• https://www.redhat.com/en/open-innovation-labs
@christianposta
@christianposta
Basic netflix OSS jars take up ~24MB

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Atlanta Microservices Day: Istio Service Mesh

Notes de l'éditeur

  1. https://en.wikipedia.org/wiki/Fallacies_of_distributed_computing The network is reliable. Latency is zero. Bandwidth is infinite. The network is secure. Topology doesn't change. There is one administrator. Transport cost is zero. The network is homogeneous.
  2. This concept of defining language, developing models to describe a domain, implementing those models, enforcing assertions, etc all happen within a certain context, and that context is vitally important in software. In common language, we are smart enough to resolve these types of language conflicts within a sentence because of its context. The computer doesn’t have this context. We have to make it explicit. And any context needs to have explicit boundaries. This model needs to be “useful” ie, it should be able to be implemented. Try to establish a model that’s both useful for discussion with the domain experts and is implementable. There are infinite ways to model/think about something. Balance both masters with the model you choose. Large complex domains may need multiple models. And really the only way to understand a language and model is within a certain context. That context should have boundaries so it doesn’t bleed or force others to bleed definitions and semantics. Bounded context: within this space, this is the context of the language. This is what it means and it’s not ambiguous. Central thing about a model is the language you create to express the prblem and solution very crisply. Need clear language and need boundaries. Anti corruption layers are translations between the different models that may exist in multiple bounded contexts. They keep an internal model consistent and pure without bleeding across the boundaries. Bounded contexts tend to be “self contained systems” themselves with a complete vertical stack of the software including UI, business logic, data models, and database. They tend to not share databases across multiple models.
  3. This concept of defining language, developing models to describe a domain, implementing those models, enforcing assertions, etc all happen within a certain context, and that context is vitally important in software. In common language, we are smart enough to resolve these types of language conflicts within a sentence because of its context. The computer doesn’t have this context. We have to make it explicit. And any context needs to have explicit boundaries. This model needs to be “useful” ie, it should be able to be implemented. Try to establish a model that’s both useful for discussion with the domain experts and is implementable. There are infinite ways to model/think about something. Balance both masters with the model you choose. Large complex domains may need multiple models. And really the only way to understand a language and model is within a certain context. That context should have boundaries so it doesn’t bleed or force others to bleed definitions and semantics. Bounded context: within this space, this is the context of the language. This is what it means and it’s not ambiguous. Central thing about a model is the language you create to express the prblem and solution very crisply. Need clear language and need boundaries. Anti corruption layers are translations between the different models that may exist in multiple bounded contexts. They keep an internal model consistent and pure without bleeding across the boundaries. Bounded contexts tend to be “self contained systems” themselves with a complete vertical stack of the software including UI, business logic, data models, and database. They tend to not share databases across multiple models.
  4. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  5. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  6. This concept of defining language, developing models to describe a domain, implementing those models, enforcing assertions, etc all happen within a certain context, and that context is vitally important in software. In common language, we are smart enough to resolve these types of language conflicts within a sentence because of its context. The computer doesn’t have this context. We have to make it explicit. And any context needs to have explicit boundaries. This model needs to be “useful” ie, it should be able to be implemented. Try to establish a model that’s both useful for discussion with the domain experts and is implementable. There are infinite ways to model/think about something. Balance both masters with the model you choose. Large complex domains may need multiple models. And really the only way to understand a language and model is within a certain context. That context should have boundaries so it doesn’t bleed or force others to bleed definitions and semantics. Bounded context: within this space, this is the context of the language. This is what it means and it’s not ambiguous. Central thing about a model is the language you create to express the prblem and solution very crisply. Need clear language and need boundaries. Anti corruption layers are translations between the different models that may exist in multiple bounded contexts. They keep an internal model consistent and pure without bleeding across the boundaries. Bounded contexts tend to be “self contained systems” themselves with a complete vertical stack of the software including UI, business logic, data models, and database. They tend to not share databases across multiple models.
  7. This concept of defining language, developing models to describe a domain, implementing those models, enforcing assertions, etc all happen within a certain context, and that context is vitally important in software. In common language, we are smart enough to resolve these types of language conflicts within a sentence because of its context. The computer doesn’t have this context. We have to make it explicit. And any context needs to have explicit boundaries. This model needs to be “useful” ie, it should be able to be implemented. Try to establish a model that’s both useful for discussion with the domain experts and is implementable. There are infinite ways to model/think about something. Balance both masters with the model you choose. Large complex domains may need multiple models. And really the only way to understand a language and model is within a certain context. That context should have boundaries so it doesn’t bleed or force others to bleed definitions and semantics. Bounded context: within this space, this is the context of the language. This is what it means and it’s not ambiguous. Central thing about a model is the language you create to express the prblem and solution very crisply. Need clear language and need boundaries. Anti corruption layers are translations between the different models that may exist in multiple bounded contexts. They keep an internal model consistent and pure without bleeding across the boundaries. Bounded contexts tend to be “self contained systems” themselves with a complete vertical stack of the software including UI, business logic, data models, and database. They tend to not share databases across multiple models.
  8. This concept of defining language, developing models to describe a domain, implementing those models, enforcing assertions, etc all happen within a certain context, and that context is vitally important in software. In common language, we are smart enough to resolve these types of language conflicts within a sentence because of its context. The computer doesn’t have this context. We have to make it explicit. And any context needs to have explicit boundaries. This model needs to be “useful” ie, it should be able to be implemented. Try to establish a model that’s both useful for discussion with the domain experts and is implementable. There are infinite ways to model/think about something. Balance both masters with the model you choose. Large complex domains may need multiple models. And really the only way to understand a language and model is within a certain context. That context should have boundaries so it doesn’t bleed or force others to bleed definitions and semantics. Bounded context: within this space, this is the context of the language. This is what it means and it’s not ambiguous. Central thing about a model is the language you create to express the prblem and solution very crisply. Need clear language and need boundaries. Anti corruption layers are translations between the different models that may exist in multiple bounded contexts. They keep an internal model consistent and pure without bleeding across the boundaries. Bounded contexts tend to be “self contained systems” themselves with a complete vertical stack of the software including UI, business logic, data models, and database. They tend to not share databases across multiple models.
  9. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  10. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  11. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  12. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  13. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  14. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  15. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  16. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  17. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  18. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  19. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  20. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  21. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  22. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  23. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  24. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  25. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  26. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  27. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  28. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  29. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  30. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  31. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  32. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  33. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  34. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  35. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
  36. Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.