The document discusses the evolution of application networking from individual microservices libraries to shared proxies like Envoy and service meshes like Istio. It notes that as applications adopt microservices architectures, many common concerns around distributed systems must be addressed, such as service discovery, load balancing, and fault tolerance. Initially, different frameworks offered individual libraries to handle these issues, but this led to inconsistencies and increased complexity. Envoy proxy and the Istio service mesh aim to provide a standardized and shared way to address these cross-cutting distributed system concerns for all services regardless of language or framework.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
An eventful tour from enterprise integration to serverless and functionsChristian Posta
In this talk, Marius (@mariusbogoevici) and I (@christianposta) discuss the value of event-driven architectures (both business and technical merits) and how the landscape of integration, streaming, and messaging and now functions/lambdas have evolved to implement EDA while balancing agility, utilization, and simplicity.
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Lowering the risk of monolith to microservicesChristian Posta
Breaking down the monolith is a risky and difficult job. Is it even worth it? Can you improve your position with the monolith? If you do decide to decompose the monolith, how do you actually do it?
In this talk, we look at some of the difficult and nasty parts of decomposing the monolith and look at tools and techniques for lowering the risk for making these changes including tools like service mesh (Istio) and data management (Teiid spring boot, debezium.io, etc).
Follow along on twitter @christianposta or http://blog.christianposta.com for a write up and the videos from this talk.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
An eventful tour from enterprise integration to serverless and functionsChristian Posta
In this talk, Marius (@mariusbogoevici) and I (@christianposta) discuss the value of event-driven architectures (both business and technical merits) and how the landscape of integration, streaming, and messaging and now functions/lambdas have evolved to implement EDA while balancing agility, utilization, and simplicity.
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Lowering the risk of monolith to microservicesChristian Posta
Breaking down the monolith is a risky and difficult job. Is it even worth it? Can you improve your position with the monolith? If you do decide to decompose the monolith, how do you actually do it?
In this talk, we look at some of the difficult and nasty parts of decomposing the monolith and look at tools and techniques for lowering the risk for making these changes including tools like service mesh (Istio) and data management (Teiid spring boot, debezium.io, etc).
Follow along on twitter @christianposta or http://blog.christianposta.com for a write up and the videos from this talk.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
Making sense of microservices, service mesh, and serverlessChristian Posta
As companies move to become digital, we can get sidetracked and distracted by some of the changes in the technology landscape. Ideally we will be harnessing technology to solve the problems we have and leverage it to deliver software faster and safer. In this talk, I'll we'll take a look at some new technology trends in the open-source communities and when and how to use them.
A presentation on why or why not microservices, why a platform is important, discovering how to break down a monolith and some of the challenges you'll face (data, transactions, boundaries, etc). Last section is on Istio and service mesh introductions. Follow on twitter @christianposta for updates and more details
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
Evolution of integration and microservices patterns with service meshChristian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this mini-conference, we'll cover what it means to build applications with microservices, how cloud-native integration and concepts like service mesh have evolved to solve some of those problems, and how the next iteration of application development with Functions as a Service (FaaS) and serverless computing fit into this landscape.
You'll hear from industry experts Burr Sutter and Christian Posta who recently authored a book Introducing Istio Service Mesh for Microservices about these topics.
Attendees should come away from this mini-conference with the following:
Understanding of what cloud-native means and how to use it to influence positive business outcomes
How integration has evolved to create, connect and manage cloud-native APIs
How service-mesh technology like Istio can solve the challenges introduced with cloud-native applications
How the next iteration of applications deliver with FaaS and serverless computing fits in with a world of monoliths, microservices, and APIs
These talks will be of value for developers, architects, operators, platform directors, and technology leaders.
After the presentations, please stay and join Christian, Burr and your peers for networking, food and drinks. All attendees will also receive a copy of Christian and Burr's new book: Introducing Istio Service Mesh for Microservices.
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Microservices architectures have many benefits, but they also come with some unique challenges. Knowledge and preparation are key to maximizing the benefits of microservices.
In this talk, you'll learn when to consider a microservices architecture, how to get started, and how it relates to other IT trends, like DevOps, Internet of Things (IoT), and big data.
Agenda:
Overview of microservices architectures—and why you should consider it
Discussion about when to use frameworks like Spring Boot, WildFly Swarm, Netflix OSS
Monitoring and metrics collections, KPIs, business value
The importance of Continuous Integration, Continuous Delivery
Why APIs and API management are critical foundations of any cloud-native architecture
Best practices, demonstrations and recommendations for next steps
Microservices: The phantom menace . Istio Service Mesh: the new hopeSergii Bishyr
Microservices are everywhere and they help in solving business problems. But they also introduce complexity. Istio Service Mesh will help you solve it.
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
Istio is a service mesh, and it's a cool new project from Google, IBM, Lyft and others. This talk describes at a high level how Istio works as a sidecar, and how it works great with Weave Cloud, which provides visualization to understand what's going on when you deploy Istio, and long-term Prometheus metrics storage with its built-in Prometheus service.
Role of Integration and Service Mesh in Cloud Native Architecture KubeCon 2108Ballerina
Building useful services across our collection of existing applications, microservices, and now functions, we see a common theme: services must be able to communicate with each other, and solve problems like data mediation, routing, policy enforcement, security, and others. Service mesh is a technology that has emerged in container-based environments to help solve some of these problems; however, not all of them can be solved by pushing the problems to a different abstraction. Understanding the role and responsibility of service mesh and application-integration frameworks can help you successfully build useful business services on a cloud native platform. This talk will help you understand those roles and responsibilities and how service mesh and application integration co-exist to build cloud native applications.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
Making sense of microservices, service mesh, and serverlessChristian Posta
As companies move to become digital, we can get sidetracked and distracted by some of the changes in the technology landscape. Ideally we will be harnessing technology to solve the problems we have and leverage it to deliver software faster and safer. In this talk, I'll we'll take a look at some new technology trends in the open-source communities and when and how to use them.
A presentation on why or why not microservices, why a platform is important, discovering how to break down a monolith and some of the challenges you'll face (data, transactions, boundaries, etc). Last section is on Istio and service mesh introductions. Follow on twitter @christianposta for updates and more details
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
Evolution of integration and microservices patterns with service meshChristian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this mini-conference, we'll cover what it means to build applications with microservices, how cloud-native integration and concepts like service mesh have evolved to solve some of those problems, and how the next iteration of application development with Functions as a Service (FaaS) and serverless computing fit into this landscape.
You'll hear from industry experts Burr Sutter and Christian Posta who recently authored a book Introducing Istio Service Mesh for Microservices about these topics.
Attendees should come away from this mini-conference with the following:
Understanding of what cloud-native means and how to use it to influence positive business outcomes
How integration has evolved to create, connect and manage cloud-native APIs
How service-mesh technology like Istio can solve the challenges introduced with cloud-native applications
How the next iteration of applications deliver with FaaS and serverless computing fits in with a world of monoliths, microservices, and APIs
These talks will be of value for developers, architects, operators, platform directors, and technology leaders.
After the presentations, please stay and join Christian, Burr and your peers for networking, food and drinks. All attendees will also receive a copy of Christian and Burr's new book: Introducing Istio Service Mesh for Microservices.
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Microservices architectures have many benefits, but they also come with some unique challenges. Knowledge and preparation are key to maximizing the benefits of microservices.
In this talk, you'll learn when to consider a microservices architecture, how to get started, and how it relates to other IT trends, like DevOps, Internet of Things (IoT), and big data.
Agenda:
Overview of microservices architectures—and why you should consider it
Discussion about when to use frameworks like Spring Boot, WildFly Swarm, Netflix OSS
Monitoring and metrics collections, KPIs, business value
The importance of Continuous Integration, Continuous Delivery
Why APIs and API management are critical foundations of any cloud-native architecture
Best practices, demonstrations and recommendations for next steps
Microservices: The phantom menace . Istio Service Mesh: the new hopeSergii Bishyr
Microservices are everywhere and they help in solving business problems. But they also introduce complexity. Istio Service Mesh will help you solve it.
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
Istio is a service mesh, and it's a cool new project from Google, IBM, Lyft and others. This talk describes at a high level how Istio works as a sidecar, and how it works great with Weave Cloud, which provides visualization to understand what's going on when you deploy Istio, and long-term Prometheus metrics storage with its built-in Prometheus service.
Role of Integration and Service Mesh in Cloud Native Architecture KubeCon 2108Ballerina
Building useful services across our collection of existing applications, microservices, and now functions, we see a common theme: services must be able to communicate with each other, and solve problems like data mediation, routing, policy enforcement, security, and others. Service mesh is a technology that has emerged in container-based environments to help solve some of these problems; however, not all of them can be solved by pushing the problems to a different abstraction. Understanding the role and responsibility of service mesh and application-integration frameworks can help you successfully build useful business services on a cloud native platform. This talk will help you understand those roles and responsibilities and how service mesh and application integration co-exist to build cloud native applications.
Microservices and Serverless for Mega Startups - DevOps IL MeetupBoaz Ziniman
Microservices and Serverless computing allow you to build and run simpler and more efficient applications, while improving your agility and saving a lot of money.
The ability to deploy your applications without the need for provisioning or managing servers opens for startups new opportunities to build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more, without the investment in hardware or professional manpower to run this hardware.
In this session, we will learn how to get started with Microservices and Serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
Speaker:
Owen Garrett
Sr. Director, Product Management
NGINX, Inc.
On-Deman Link: https://www.nginx.com/resources/webinars/need-service-mesh/
About the webinar:
Service mesh is one of the hottest emerging technologies. Even though it’s a nascent technology, many vendors have already released their implementation. But do you really need a service mesh?
Attend this webinar to learn about the levels of maturity on the journey to modernizing your apps using microservices, and the traffic management approaches best suited to each level. We’ll help you figure out if you really need a service mesh.
Istio as an enabler for migrating to microservices (edition 2022)Ahmed Misbah
This session is targeted towards teams and organizations considering to migrate their applications from monolithic to Microservice architecture by proposing Istio as an enabler. Istio is an implementation of service mesh, a technology useful for migrating to Microservices iteratively and safely.
Migrating application architectures to Microservices is considered a key area of transformation in the IT world. Modernizing legacy applications to Kubernetes-based Microservices can prove to be very challenging if not planned correctly, taking into consideration the right technologies and enablers.
This session explains how Istio can be used as a bridge and enabler for modernizing legacy monolithic applications to Microservices. Topics covered in the session will include:
1- Advantages of migrating to Microservices and service mesh .
2- Designing a Microservice application based on splitting an existing monolithic application.
3- Implementing Microservices iteratively as a strangler fig application with Istio.
4- Features Istio provides as a service mesh platform.
These are my summarized notes from all the microservices session I attended at QCon 2015. These sessions had tons of learning around how to scale microservices and avoid common pitfalls
Come for the traffic management, stay for the securityChristian Posta
Service mesh implementations help move critical application networking functionality out of the applications and into the infrastructure. With a service mesh like Istio, for example, you can move complicated traffic routing, resiliency aspects, and top-line metric collection out of the application code. This helps you build complicated distributed systems a bit more safely. But can Istio help with solving security issues?
Christian Posta explores some of the ways Istio helps you build more secure systems with mutual TLS, OAuth 2.0, and JSON Web Token verification. Security starts with defining trust boundaries and establishing identities. Istio helps do this by leveraging SPIFEE to assign identity and lay the foundation for zero-trust application networking. Istio then leverages this identity to take over the issuance and management of workload identity documents (e.g., x509 certificates), which can then be used to provide client authentication and mTLS. Istio also helps with OAuth flows, JWT verification, RBAC/ABAC, and much more.
You may be drawn into using Istio for its traffic management functionality, but most customers Christian works with find themselves much more interested in the security aspects once they learn what they can do with it. Join in to see for yourself.
The Proxy Wars - MySQL Router, ProxySQL, MariaDB MaxScaleColin Charles
As proxies (and database routers) go, the first one I ever used was the now deprecated MySQL Proxy. Since then, I've managed to use MariaDB MaxScale quite a bit (including its fork AirBnB MaxScale), played around with ProxySQL in recent time, and also started taking a look at MySQL Router. In this quick 20-minute overview, we'll discuss why these three exist, a feature comparison, and reasons when to use the right tool for the job.
Docker microservices and the service meshDocker, Inc.
The nature of containerized, cloud-native applications is rapidly advancing with a fundamentally different architecture that will rely on service meshes with smarter proxies, traffic management, and enhanced observability for cooperating microservices, serverless functions, and complex workflows. In this session we will highlight the features that characterize this architectural transformation in the Docker cloud-native ecosystem.
Concurrency at Scale: Evolution to Micro-ServicesRandy Shoup
Most large-scale web companies have evolved their system architecture from a monolithic application and monolithic database to a set of loosely coupled micro-services. Using examples from Google, eBay, and KIXEYE, this talk outlines the pros and cons of these different stages of evolution, and makes practical suggestions about when and how other organizations should consider migrating to micro-services. It concludes with some more advanced implications of a micro-services architecture, including SLAs, cost-allocation, and vendor-customer relationships within the organization.
By Christian Posta
See how easy it is for developers to create and build microservices with Spring Boot and WildFly Swarm and deploy them to Kubernetes
Weaveworks discusses Microservices and best practices
Visit Weave Cloud: https://www.weave.works/product/cloud/
For more free talks, join our Weave Online User Group: https://www.meetup.com/Weave-User-Group/
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
Early Draft: Service Mesh allows developers to focus on business logic while the crosscutting network data layer code is handled by the Service Mesh. This is a boon because this code can be tricky to implement and hard to test all of the edge cases. Service Mesh takes this a few steps further than AOP or Servlet Filters or custom language-specific frameworks because it works regardless of the underlying programming language being used which is great for polyglot development shops. Thus standardizing how these layers work, while allowing teams to pick the best tools or languages for the job at hand. Kubernetes and Istio Service Mesh automate best practices for DevSecOps needs like: failover, scale-out, scalability, health checks, circuit breakers, rate limiters, metrics, observability, avoiding cascading failure, disaster recovery, and traffic routing; supporting CI/CD and microservices architecture.
Istio’s ability to automate and maintaining zero trust networks is its most important feature. In the age of high-profile data breaches, security is paramount. Companies want to avoid major brand issues that impact the bottom line and shrink market capitalization in an instant. Istio allows a standard way to do mTLS and auto certificate rotation which helps prevent a breach and limits the blast radius if a breach occurs. Istio also takes the concern of mTLS from microservices deployments and makes it easy to use taking the burden off of application developers.
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload IdentityChristian Posta
Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
- How Zero Trust Architecture (ZTA) can help, and
- How Istio ambient mesh lowers the barrier for establishing the properties necessary to achieve Zero Trust and compliance
Multicluster Kubernetes and Service Mesh PatternsChristian Posta
Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service MeshChristian Posta
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)Christian Posta
Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo EnterpriseChristian Posta
Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoptionChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and LinkerdChristian Posta
Service mesh has hit the cloud native computing community like a storm, and we’re starting to see gradual adoption across the enterprise. There are a handful of open source service mesh implementations to choose from, including Istio, Consul Connect, and Linkerd.
Christian Posta details why and when you may want to use a service mesh versus when you may want to just stick with a library, Netflix OSS, or application approach. He digs into three popular open source service mesh implementations and explores their goals, strengths, and weaknesses. You’ll come away with a good foundation from which to explore service mesh technology and ask the right questions to get to the right answer for them.
Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...Christian Posta
If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMeshChristian Posta
Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
API Gateways are going through an identity crisisChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you've been following the rise in service-mesh technologies, you'll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
In this talk, Zack Butcher (core Istio maintainer) and I discuss the difficulty of building cloud-native applications across heterogeneous deployment environments like Kubernetes, multiple Kubernetes/OpenShift clusters, VMs, public and private cloud. Some of these challenges include routing, identity/security, and monitoring. Check twitter @christianposta / @ZackButcher or blog.christianposta.com for a writeup and the videos when they get released.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
1. Microservices: from Netflix OSS to
Istio Service Mesh
Christian Posta (@christianposta)
Senior Principal Solutions Architect
2. 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
18. Things you must solve for because…
distributed systems
• Service discovery
• Retries
• Timeouts
• Load balancing
• Rate limiting
• Thread bulk heading
• Circuit breaking
@christianposta
19. …continued
• Routing between services (adaptive, zone-aware)
• Deadlines
• Back pressure
• Outlier detection
• Health checking
• Traffic shaping
• Request shadowing
@christianposta
21. These are all horizontal concerns
and apply to all services regardless
of implementation.
@christianposta
22. 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
23. 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
27. 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. “2018 is the year of the service mesh”
Clayton Coleman (@smarterclayton)
Red Hat OpenShift Platform Architect
@christianposta
38. How do we reason about a fleet of
these service proxies in a large cluster?
@christianposta
39. 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:
40. All traffic between our applications flows
through these proxies. The proxies make
up the “data plane”
@christianposta
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.
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.
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.
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.