Microservices and Integration: what's next with Istio service mesh
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Red Hat Canada day presentation about service mesh, Istio and integration
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Microservices and Integration: what's next with Istio service mesh
- 1. Microservices with integration, containers and APIs: what’s next? @christianposta
- 2. Christian Posta Chief Architect, cloud application development Twitter: @christianposta Blog: http://blog.christianposta.com Email: christian@redhat.com Slides: http://slideshare.net/ceposta • Author “Microservices for Java developers” and other soon to be announced books • Committer/contributor lots of open-source projects • Blogger, speaker
- 5. @christianposta Innovation is admitting we don’t have all the answers Mark Schwartz – Former CIO USCIS
- 6. @christianposta How do we figure out the right questions to ask?
- 7. @christianposta Scientific method anyone? • Make observations • Formulate hypothesis • Design an experiment • State the indicators you will evaluate • Conduct the experiment • Evaluate results • Accept or reject hypothesis • Make new hypothesis and continue…
- 8. @christianposta Traditional user story “requirements” • As A…. <role> • I Want… <goal/desire> • So That… <receive benefit> https://barryoreilly.com/2013/10/21/how-to-implement-hypothesis-driven-development/
- 9. @christianposta Asking questions instead of requirements https://barryoreilly.com/2013/10/21/how-to-implement-hypothesis-driven-development/
- 10. @christianposta https://www.infoq.com/articles/cloud-native-panel "Cloud native” describes applications, architectures, platforms/infrastructure, and processes, that together make it economical to work in small batches to learn and reduce uncertainty.
- 11. @christianposta We can now assert with confidence that high IT performance correlates with strong business performance, helping to boost productivity, profitability and market share. https://puppet.com/resources/whitepaper/2014-state-devops-report
- 14. @christianposta With any new methodologies or shift in technology that promise great gains, you should always expect new challenges to arise.
- 15. @christianposta Come on… how hard can it be!?
- 16. @christianposta
- 17. @christianposta
- 18. @christianposta
- 19. @christianposta
- 20. As we move to services architectures, we push the complexity to the space between our services. @christianposta
- 21. New challenges in a cloudy, services world • Service discovery • Retries • Timeouts • Load balancing • Rate limiting • Thread bulk heading • Circuit breaking @christianposta
- 22. …continued • Routing between services (adaptive, zone-aware) • Deadlines • Back pressure • Outlier detection • Health checking • Traffic shaping • Request shadowing @christianposta
- 23. …continued • Edge/DMZ routing • Surgical / fine / per-request routing • A/B rollout • Internal releases / dark launches • Fault injection • Stats, metric, collection • Logging • Tracing
- 25. • 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
- 27. • Require specific language to bring in new services • A single language doesn’t fit for all use cases • How do you patch/upgrade/manage lifecycle? • Need strict control over application library choices Some drawbacks to this approach?
- 28. 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
- 29. But I’m using Vert.x! • vertx-circuit-breaker • vertx-service-discovery • vertx-dropwizard-metrics • vertx-zipkin? • ….. • ...... @christianposta
- 30. 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
- 31. A “service mess” @christianposta Now we have …
- 32. 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
- 33. @christianposta
- 34. @christianposta
- 36. 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
- 37. @christianposta
- 38. 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!
- 39. Service instance proxy AKA Sidecar
- 40. As a service-instance proxy
- 42. “2018 is the year of the service mesh” Clayton Coleman (@smarterclayton) Red Hat OpenShift Platform Architect @christianposta
- 43. 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:
- 44. All traffic between our applications flows through these proxies. The proxies make up the “data plane” @christianposta
- 45. Meet Istio.io http://istio.io A control plane for service proxies
- 51. What higher-order clusters semantics does Istio enable? • Request-level control • Graduated deployment and release • Service observability • Cluster reliability • Chaos testing • Policy enforcement
- 52. @christianposta Resilience with timeouts, retries, budgets, circuit breakers, service discovery, etc
- 53. @christianposta Zone aware, sophisticated client-side load balancing
- 54. @christianposta Fine-grained traffic control and routing
- 57. @christianposta Metrics, logs, distributed tracing out of the box http://bit.ly/application-networking
- 60. 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
Editor's Notes
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- How many people are embarking on projects to drive innovation in their organizations? How many people think those projects will succeed? How many people can predict the future? How many people believe their organization’s executives can predict the future?
- Inherently unknown….
- Unknown Unknowns…..
- As we look to “IT” to lead innovation, we need to optimize IT to go fast, ask questions, experiment and learn…. This is where containers and APIs help tremendously….
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- …… new challenges….. Let’s come back to that…..
- …… new challenge….. Let’s come back to that…..
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- One large database! We should focus on how we design our data models so that they can be sharded and distributed…. Focus on transactions, etc not 2PC
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.
- Get back to first principles. Focus on principles, patterns, methodologies. Tools will help, but you cannot start with tools.