Eventuate is a platform that tackles the distributed data management challenges inherent in a microservice architecture.
https://eventuate.io/
Saturn 2018: Managing data consistency in a microservice architecture using S...Chris Richardson
A revised and extended version that I gave at Saturn 2018.
The services in a microservice architecture must be loosely coupled and so cannot share database tables. What’s more, two phase commit (a.k.a. a distributed transaction) is not a viable option for modern applications. Consequently, a microservices application must use the Saga pattern, which maintains data consistency using a series of local transactions.
In this presentation, you will learn how sagas work and how they differ from traditional transactions. We describe how to use sagas to develop business logic in a microservices application. You will learn effective techniques for orchestrating sagas and how to use messaging for reliability. We will describe the design of a saga framework for Java and show a sample application.
Decompose your monolith: strategies for migrating to microservices (Tide)Chris Richardson
This is a presentation that I gave at Tide.co, London - January 2020
A typical mission-critical enterprise application is a large, complex monolith developed by large team. Software delivery is usually slow, and the team struggles to keep up with the demands of the business. Consequently, many enterprise applications are good candidates to be migrated to the microservice architecture. But how do you know whether it makes sense to migrate to microservices? And, how to get there? In this presentation, I describe when you should consider migrating to microservices. You will learn strategies for migrating a monolith application to a microservice architecture. I explain how to implement new functionality as services. You will learn how to incrementally break apart a monolith one service at a time.
Introduction to Event Sourcing and Challenges such as consistency, validation and concurrent updates.
The talk has been delivered at the Microservice Meetup in Munich.
A pattern language for microservices - June 2021 Chris Richardson
The microservice architecture is growing in popularity. It is an architectural style that structures an application as a set of loosely coupled services that are organized around business capabilities. Its goal is to enable the continuous delivery of large, complex applications. However, the microservice architecture is not a silver bullet and it has some significant drawbacks.
The goal of the microservices pattern language is to enable software developers to apply the microservice architecture effectively. It is a collection of patterns that solve architecture, design, development and operational problems. In this talk, I’ll provide an overview of the microservice architecture and describe the motivations for the pattern language. You will learn about the key patterns in the pattern language.
JFokus: Cubes, Hexagons, Triangles, and More: Understanding MicroservicesChris Richardson
The microservice architecture is becoming increasing important. But what is it exactly? Why should you care about microservices? And, what do you need to do to ensure that your organization uses the microservice architecture successfully? In this talk, I’ll answer these and other questions using shapes as visual metaphors. You will learn about the motivations for the microservice architecture and why simply adopting microservices is insufficient. I describe essential characteristics of microservices, You will learn how a successful microservice architecture consist of loosely coupled services with stable APIs that communicate asynchronous. I will cover strategies for effectively testing microservices.
QConPlus 2021: Minimizing Design Time Coupling in a Microservice ArchitectureChris Richardson
Delivering large, complex software rapidly, frequently and reliably requires a loosely coupled organization. DevOps teams should rarely need to communicate and coordinate in order to get work done. Conway's law states that an organization and the architecture that it develops mirror one another. Hence, a loosely coupled organization requires a loosely coupled architecture.
In this presentation, you will learn about design-time coupling in a microservice architecture and why it's essential to minimize it. I describe how to design service APIs to reduce coupling. You will learn how to minimize design-time coupling by applying a version of the DRY principle. I describe how key microservices patterns potentially result in tight design time coupling and how to avoid it.
This document discusses domain-driven design (DDD) concepts for transforming a monolithic application to microservices, including:
1. Classifying applications into areas like lift and shift, containerize, refactor, and expose APIs to prioritize high business value, low complexity projects.
2. Focusing on shorter duration projects from specifications to operations.
3. Designing around business capabilities, processes, and forming teams aligned to capabilities rather than technology.
4. Key DDD concepts like ubiquitous language, bounded contexts, and context maps to decompose the domain model into independently deployable microservices.
The document provides an overview of microservices architecture. It discusses key characteristics of microservices such as each service focusing on a specific business capability, decentralized governance and data management, and infrastructure automation. It also compares microservices to monolithic and SOA architectures. Some design styles enabled by microservices like domain-driven design, event sourcing, and functional reactive programming are also covered at a high level. The document aims to introduce attendees to microservices concepts and architectures.
Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will dig into how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to
hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Orchestration Patterns for Microservices with Messaging by RabbitMQVMware Tanzu
Companies looking to speed up their software development are adopting microservices architectures (MSA). Building applications as groups of smaller components with fewer dependencies helps companies such as Comcast, Capital One, Uber, and Netflix deliver more frequent releases and thus innovate faster.
An important consideration in adopting an MSA is deciding how individual services should communicate between each other. Adding a message queue such as RabbitMQ to handle interservice messages can improve communication by:
- Simplifying our services so they only need to know how to talk to the messenger service.
- Abstracting communication by having the messenger service handle sophisticated orchestration patterns.
- Scaling message throughput by increasing the cluster size of the messenger service.
In this webinar we'll discuss:
- Requirements for communicating between microservices
- Typical messaging patterns in microservice architectures
- Use cases where RabbitMQ shines
- How to use the RabbitMQ service for Pivotal Cloud Foundry to deploy and run your applications
We’ll also demonstrate how to deploy RabbitMQ in Pivotal Cloud Foundry, and how to incorporate it in microservices-based applications.
Presenters: Greg Chase, Pivotal and Dan Baskette, Pivotal
DDD SoCal: Decompose your monolith: Ten principles for refactoring a monolith...Chris Richardson
This is a talk I gave at DDD SoCal.
1. Make the most of your monolith
2. Adopt microservices for the right reasons
3. It’s not just architecture
4. Get the support of the business
5. Migrate incrementally
6. Know your starting point
7. Begin with the end in mind
8. Migrate high-value modules first
9. Success is improved velocity and reliability
10. If it hurts, don’t do it
This presentation is conducted on 14th Sept in Limerick DotNet User Group.
(https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb)
SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928
In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation.
About Speaker:
Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book.
To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/
This presentation will be useful for software architects/Managers, senior developers.
Do share your feedback in comments.
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
The document discusses the use of event-driven architecture (EDA) across several industries. It provides examples of how EDA is used in digital manufacturing, financial services, gaming/gambling, retail, and government. Some common technical problems addressed by EDA include large connection counts, processing data streams, ensuring zero message loss, and meeting latency requirements. The document also provides a brief quiz asking what EDA is.
Kong Summit 2018 - Microservices: decomposing applications for testability an...Chris Richardson
In this presentation, I describe the essential characteristics of the microservice architecture. You will learn about the benefits and drawbacks of the microservice architecture and when it makes sense to use it. I discuss how the microservice architecture is not a silver bullet. You will learn about the microservice pattern language, which is a collection of patterns that solve architecture and design issues that you will encounter when using microservices.
The document discusses CQRS (Command Query Responsibility Segregation) and event sourcing patterns for building distributed applications. CQRS separates commands, which change data, from queries, which read data. Event sourcing records all state changes as a sequence of immutable events. This allows reconstructing any past state and enables easy distribution of data. The document provides examples of how event sourcing and CQRS can be implemented using event stores, event projections, and read models to support both commands and queries independently.
This document discusses using Fluentd to collect streaming data from Apache Kafka. It presents two approaches: 1) the fluent-plugin-kafka plugin which allows Fluentd to act as a producer and consumer of Kafka topics, and 2) the kafka-fluentd-consumer project which runs a standalone Kafka consumer that sends events to Fluentd. Configuration examples are provided for both approaches. The document concludes that Fluentd and Kafka can work together to build reliable and flexible data pipelines.
YOW2018 - Events and Commands: Developing Asynchronous MicroservicesChris Richardson
The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s only accessible indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging.
In this presentation, you will learn how to solve these distributed data management challenges using asynchronous messaging. I describe how to implement transactions using sagas, which are sequences of local transactions, coordinated using messages. You will learn how to implement queries using Command Query Responsibility Segregation (CQRS), which uses events to maintain replicas. I describe how to use event sourcing, which is an event-centric approach to business logic and persistence, in a microservice architecture.
Definition de Cloud Computing
Historique du Cloud Computing
Les cinq caractéristiques de Cloud Computing
Les trois modèles de services de Cloud Computing
Les quatre modèles de déploiement de Cloud Computing
la différence entre Grid et Cloud Computing
Les Outils
Message Redelivery: An Unexpected Journey - Pulsar Summit SF 2022StreamNative
This document summarizes the message redelivery process in Apache Pulsar. It discusses how messages are redelivered when producing or consuming messages. When producing, messages are redelivered if the broker does not acknowledge receipt in a timely manner. When consuming, messages are redelivered under three circumstances: if the acknowledgment times out, if messages are negatively acknowledged, or if delivery is delayed. The document provides details on the commands and objects involved in establishing connections, publishing, consuming, acknowledging, and redelivering messages between Pulsar clients and brokers.
Have a legacy software portfolio? Stepping into unfamiliar code, especially legacy code, can be very scary. Code uses local file system or unusual directory layout or homegrown shim for interacting with databases, cache or user directories, secrets lying bare etc.
You can confront monoliths and transform them. So, where do you start when considering an app migration? What apps need to continue running for the next six years and at a lower cost?
Let's look at what and why for monolith & n-tier ==> microservice architecture transformation. What are the popular microservice frameworks for Java customers? How to decompose monolith to microservices? Why Spring cloud and what are its key components? As you walk away, you will be ready to dive deeper and go hands-on with Spring Cloud microservices.
This document provides an agenda and overview for a workshop on building a data lake on AWS. The agenda includes reviewing data lakes, modernizing data warehouses with Amazon Redshift, data processing with Amazon EMR, and event-driven processing with AWS Lambda. It discusses how data lakes extend traditional data warehousing approaches and how services like Redshift, EMR, and Lambda can be used for analytics in a data lake on AWS.
A pattern language for microservices (#gluecon #gluecon2016)Chris Richardson
This document discusses a pattern language for microservices. It begins by introducing the speaker and agenda. The core patterns of monolithic architecture and microservices architecture are described. Microservices address drawbacks of monolithic architecture by decomposing into independent services, though this introduces complexity. The document then discusses patterns for distributed data management with microservices like database per service, event-driven architecture using event sourcing, and command query responsibility segregation for queries. It concludes that patterns are useful for thinking about, discussing, and applying technology like microservices.
Microservices, Containers, Docker and a Cloud-Native Architecture in the Midd...Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery automate deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers here. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture in the middleware world. A live demo with the open source PaaS framework CloudFoundry shows how technologies and frameworks such as Java, SOAP / REST Web Services, Jenkins and Docker are used to create an agile software development lifecycle to realize “Middleware Microservices”. It also discusses other modern cloud-native alternatives such as Kubernetes, Docker, Mesos, Mesosphere or Amazon ECS / AWS.
Microservices + Events + Docker = A Perfect Trio by Docker Captain Chris Rich...Docker, Inc.
The document discusses how microservices, events, and Docker form a perfect trio for developing and deploying applications. It covers how microservices can help accelerate development but also introduce complexity that events and Docker can help address. Events are proposed to maintain data consistency between microservices rather than distributed transactions. Docker is presented as a way to containerize microservices for improved isolation, manageability and efficient deployment and scaling. The overall presentation argues this combination of techniques can help build large, complex applications.
Microservices are an essential enabler of agility but developing and deploying them is a challenge. In order for microservices to be loosely coupled,each service must have its own datastore. This makes it difficult to maintain data consistency across services.
Deploying microservices is also a complex problem since an application typically consists of 10s or 100s of services, written in a variety of languages and frameworks. In this presentation, you will learn how to solve these problems by using an event-driven architecture to maintain data consistency and by using Docker to simplify deployment.
This document discusses domain-driven design (DDD) concepts for transforming a monolithic application to microservices, including:
1. Classifying applications into areas like lift and shift, containerize, refactor, and expose APIs to prioritize high business value, low complexity projects.
2. Focusing on shorter duration projects from specifications to operations.
3. Designing around business capabilities, processes, and forming teams aligned to capabilities rather than technology.
4. Key DDD concepts like ubiquitous language, bounded contexts, and context maps to decompose the domain model into independently deployable microservices.
The document provides an overview of microservices architecture. It discusses key characteristics of microservices such as each service focusing on a specific business capability, decentralized governance and data management, and infrastructure automation. It also compares microservices to monolithic and SOA architectures. Some design styles enabled by microservices like domain-driven design, event sourcing, and functional reactive programming are also covered at a high level. The document aims to introduce attendees to microservices concepts and architectures.
Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will dig into how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so. Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to
hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Orchestration Patterns for Microservices with Messaging by RabbitMQVMware Tanzu
Companies looking to speed up their software development are adopting microservices architectures (MSA). Building applications as groups of smaller components with fewer dependencies helps companies such as Comcast, Capital One, Uber, and Netflix deliver more frequent releases and thus innovate faster.
An important consideration in adopting an MSA is deciding how individual services should communicate between each other. Adding a message queue such as RabbitMQ to handle interservice messages can improve communication by:
- Simplifying our services so they only need to know how to talk to the messenger service.
- Abstracting communication by having the messenger service handle sophisticated orchestration patterns.
- Scaling message throughput by increasing the cluster size of the messenger service.
In this webinar we'll discuss:
- Requirements for communicating between microservices
- Typical messaging patterns in microservice architectures
- Use cases where RabbitMQ shines
- How to use the RabbitMQ service for Pivotal Cloud Foundry to deploy and run your applications
We’ll also demonstrate how to deploy RabbitMQ in Pivotal Cloud Foundry, and how to incorporate it in microservices-based applications.
Presenters: Greg Chase, Pivotal and Dan Baskette, Pivotal
DDD SoCal: Decompose your monolith: Ten principles for refactoring a monolith...Chris Richardson
This is a talk I gave at DDD SoCal.
1. Make the most of your monolith
2. Adopt microservices for the right reasons
3. It’s not just architecture
4. Get the support of the business
5. Migrate incrementally
6. Know your starting point
7. Begin with the end in mind
8. Migrate high-value modules first
9. Success is improved velocity and reliability
10. If it hurts, don’t do it
This presentation is conducted on 14th Sept in Limerick DotNet User Group.
(https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb)
SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928
In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation.
About Speaker:
Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book.
To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/
This presentation will be useful for software architects/Managers, senior developers.
Do share your feedback in comments.
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
The document discusses the use of event-driven architecture (EDA) across several industries. It provides examples of how EDA is used in digital manufacturing, financial services, gaming/gambling, retail, and government. Some common technical problems addressed by EDA include large connection counts, processing data streams, ensuring zero message loss, and meeting latency requirements. The document also provides a brief quiz asking what EDA is.
Kong Summit 2018 - Microservices: decomposing applications for testability an...Chris Richardson
In this presentation, I describe the essential characteristics of the microservice architecture. You will learn about the benefits and drawbacks of the microservice architecture and when it makes sense to use it. I discuss how the microservice architecture is not a silver bullet. You will learn about the microservice pattern language, which is a collection of patterns that solve architecture and design issues that you will encounter when using microservices.
The document discusses CQRS (Command Query Responsibility Segregation) and event sourcing patterns for building distributed applications. CQRS separates commands, which change data, from queries, which read data. Event sourcing records all state changes as a sequence of immutable events. This allows reconstructing any past state and enables easy distribution of data. The document provides examples of how event sourcing and CQRS can be implemented using event stores, event projections, and read models to support both commands and queries independently.
This document discusses using Fluentd to collect streaming data from Apache Kafka. It presents two approaches: 1) the fluent-plugin-kafka plugin which allows Fluentd to act as a producer and consumer of Kafka topics, and 2) the kafka-fluentd-consumer project which runs a standalone Kafka consumer that sends events to Fluentd. Configuration examples are provided for both approaches. The document concludes that Fluentd and Kafka can work together to build reliable and flexible data pipelines.
YOW2018 - Events and Commands: Developing Asynchronous MicroservicesChris Richardson
The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s only accessible indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging.
In this presentation, you will learn how to solve these distributed data management challenges using asynchronous messaging. I describe how to implement transactions using sagas, which are sequences of local transactions, coordinated using messages. You will learn how to implement queries using Command Query Responsibility Segregation (CQRS), which uses events to maintain replicas. I describe how to use event sourcing, which is an event-centric approach to business logic and persistence, in a microservice architecture.
Definition de Cloud Computing
Historique du Cloud Computing
Les cinq caractéristiques de Cloud Computing
Les trois modèles de services de Cloud Computing
Les quatre modèles de déploiement de Cloud Computing
la différence entre Grid et Cloud Computing
Les Outils
Message Redelivery: An Unexpected Journey - Pulsar Summit SF 2022StreamNative
This document summarizes the message redelivery process in Apache Pulsar. It discusses how messages are redelivered when producing or consuming messages. When producing, messages are redelivered if the broker does not acknowledge receipt in a timely manner. When consuming, messages are redelivered under three circumstances: if the acknowledgment times out, if messages are negatively acknowledged, or if delivery is delayed. The document provides details on the commands and objects involved in establishing connections, publishing, consuming, acknowledging, and redelivering messages between Pulsar clients and brokers.
Have a legacy software portfolio? Stepping into unfamiliar code, especially legacy code, can be very scary. Code uses local file system or unusual directory layout or homegrown shim for interacting with databases, cache or user directories, secrets lying bare etc.
You can confront monoliths and transform them. So, where do you start when considering an app migration? What apps need to continue running for the next six years and at a lower cost?
Let's look at what and why for monolith & n-tier ==> microservice architecture transformation. What are the popular microservice frameworks for Java customers? How to decompose monolith to microservices? Why Spring cloud and what are its key components? As you walk away, you will be ready to dive deeper and go hands-on with Spring Cloud microservices.
This document provides an agenda and overview for a workshop on building a data lake on AWS. The agenda includes reviewing data lakes, modernizing data warehouses with Amazon Redshift, data processing with Amazon EMR, and event-driven processing with AWS Lambda. It discusses how data lakes extend traditional data warehousing approaches and how services like Redshift, EMR, and Lambda can be used for analytics in a data lake on AWS.
A pattern language for microservices (#gluecon #gluecon2016)Chris Richardson
This document discusses a pattern language for microservices. It begins by introducing the speaker and agenda. The core patterns of monolithic architecture and microservices architecture are described. Microservices address drawbacks of monolithic architecture by decomposing into independent services, though this introduces complexity. The document then discusses patterns for distributed data management with microservices like database per service, event-driven architecture using event sourcing, and command query responsibility segregation for queries. It concludes that patterns are useful for thinking about, discussing, and applying technology like microservices.
Microservices, Containers, Docker and a Cloud-Native Architecture in the Midd...Kai Wähner
Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. Continuous Integration and Continuous Delivery automate deployments. This way you get shorter time to results and increased flexibility. Containers improve these even more offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an Enterprise Service Bus (ESB), Complex Event Processing (CEP), Business Process Management (BPM) or API Gateways. Many people still think about complex, heavyweight central brokers here. However, Microservices and containers are relevant not just for custom self-developed applications, but they are also a key requirement to make the middleware world more flexible, agile and automated.
This session discusses the requirements, best practices and challenges for creating a good Microservices architecture in the middleware world. A live demo with the open source PaaS framework CloudFoundry shows how technologies and frameworks such as Java, SOAP / REST Web Services, Jenkins and Docker are used to create an agile software development lifecycle to realize “Middleware Microservices”. It also discusses other modern cloud-native alternatives such as Kubernetes, Docker, Mesos, Mesosphere or Amazon ECS / AWS.
Microservices + Events + Docker = A Perfect Trio by Docker Captain Chris Rich...Docker, Inc.
The document discusses how microservices, events, and Docker form a perfect trio for developing and deploying applications. It covers how microservices can help accelerate development but also introduce complexity that events and Docker can help address. Events are proposed to maintain data consistency between microservices rather than distributed transactions. Docker is presented as a way to containerize microservices for improved isolation, manageability and efficient deployment and scaling. The overall presentation argues this combination of techniques can help build large, complex applications.
Microservices are an essential enabler of agility but developing and deploying them is a challenge. In order for microservices to be loosely coupled,each service must have its own datastore. This makes it difficult to maintain data consistency across services.
Deploying microservices is also a complex problem since an application typically consists of 10s or 100s of services, written in a variety of languages and frameworks. In this presentation, you will learn how to solve these problems by using an event-driven architecture to maintain data consistency and by using Docker to simplify deployment.
Decompose That WAR! Architecting for Adaptability, Scalability, and Deployabi...Chris Richardson
This document summarizes a presentation about decomposing monolithic applications into microservices. The presentation discusses how monolithic architectures can be difficult to deploy, scale, and update. It then introduces strategies for decomposing a monolith into independent services, such as extracting new functionality or splitting the frontend from the backend. The presentation also covers best practices for service communication, including using an API gateway and futures to handle asynchronous requests. Overall, the document advocates for a modular, polyglot architecture using independent, interoperable services to improve deployability, scalability, and adaptability compared to a monolithic application.
Mucon: Not Just Events: Developing Asynchronous MicroservicesChris Richardson
The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s only accessible indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging. In this presentation, you will learn how to solve these distributed data management challenges using asynchronous messaging. Chris will share with you how to implement transactions using sagas, which are sequences of local transactions. You will learn how to coordinate sagas using either events or command messages. Chris will also explore how to implement queries using Command Query Responsibility Segregation (CQRS), which uses events to maintain easily queried replicas.
Decompose That WAR! Architecting for Adaptability, Scalability, and Deployabi...Chris Richardson
It’s no longer acceptable to develop large, monolithic, single-language, single-framework Web applications. In this session, you will learn how to use the scale cube to decompose your monolithic Web application into a set of narrowly focused, independently deployable services. The presentation discusses how a modular architecture makes it easy to adopt newer and better languages and technologies. You will learn about the various communication mechanisms—synchronous and asynchronous—that these services can use.
Oracle Code One: Events and commands: developing asynchronous microservicesChris Richardson
The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s accessible only indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging. In this session, you will learn how to solve these distributed data management challenges by using asynchronous messaging.
The presentation describes how to implement transactions with sagas, which are sequences of local transactions coordinated by use of messages. You will learn how to implement queries using command query responsibility segregation (CQRS), which uses events to maintain replicas, and will hear about the key role messaging plays in a microservice architecture.
Building microservices with Scala, functional domain models and Spring BootChris Richardson
The document discusses building microservices with Scala, functional domain models, and Spring Boot. It describes using an event-driven and event sourcing architecture to solve data consistency issues with microservices and NoSQL databases. Event sourcing involves storing business events and replaying them to recreate state changes. The document outlines designing microservices around aggregates and event processing, implementing queries with separate read models, and building and deploying microservices with Spring Boot.
Solving distributed data management problems in a microservice architecture (...Chris Richardson
The document discusses challenges of maintaining data consistency and performing queries in a microservices architecture. It recommends using sagas and compensating transactions to maintain consistency across services with private databases. For queries, it recommends API composition when possible, but for more complex queries, using the Command Query Responsibility Segregation (CQRS) pattern with separate read models optimized for different query types. The talk also covers event sourcing to provide reliable saga execution.
GotoChgo 2019: Not Just Events: Developing Asynchronous MicroservicesChris Richardson
The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s only accessible indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging.
In this presentation, you will learn how to solve these distributed data management challenges using asynchronous messaging. Chris will share with you how to implement transactions using sagas, which are sequences of local transactions. You will learn how to coordinate sagas using either events or command messages. Chris will also explore how to implement queries using Command Query Responsibility Segregation (CQRS), which uses events to maintain easily queried replicas.
This is a presentation I gave at SF Scala.
I describe the motivations for having a pattern language for microservices.
I then describe how to build event-driven microservices using event sourcing and CQRS.
I show some Java and Scala code examples.
Developing event-driven microservices with event sourcing and CQRS (phillyete)Chris Richardson
Modern, cloud-native applications typically use a microservices architecture in conjunction with NoSQL and/or sharded relational databases. However, in order to successfully use this approach you need to solve some distributed data management problems including how to maintain consistency between multiple databases without using 2PC. In this talk you will learn more about these issues and how to solve them by using an event-driven architecture. We will describe how event sourcing and Command Query Responsibility Separation (CQRS) are a great way to realize an event-driven architecture. You will learn about a simple yet powerful approach for building, modern, scalable applications.
Developing applications with a microservice architecture (SVforum, microservi...Chris Richardson
Here is the version of my microservices talk that that I gave on September 17th at the SVforum Cloud SIG/Microservices meetup.
To learn more see http://microservices.io and http://plainoldobjects.com
#JaxLondon keynote: Developing applications with a microservice architectureChris Richardson
The document summarizes Chris Richardson's presentation on developing applications with a microservice architecture. The presentation discusses how decomposing monolithic applications into microservices improves deployability, scalability, and simplifies adopting new technologies. It covers the benefits of microservices, including improved fault isolation, reduced commitment to technology stacks, and easier scaling of development. It also discusses challenges like complexity in developing, testing, and operating distributed systems.
Developing Applications with a Micro Service Architecture - Chris RichardsonJAXLondon2014
The document summarizes Chris Richardson's presentation on developing applications with a microservice architecture. The presentation discusses how decomposing monolithic applications into microservices improves deployability, scalability, and simplifies adopting new technologies. It covers strategies for decomposing applications, using an API gateway, and mechanisms for inter-service communication like HTTP and messaging. Complexities of developing distributed systems with microservices are also addressed.
Developing applications with a microservice architecture (svcc)Chris Richardson
The micro-service architecture, which structures an application as a set of small, narrowly focused, independently deployable services, is becoming an increasingly popular way to build applications. This approach avoids many of the problems of a monolithic architecture. It simplifies deployment and let’s you create highly scalable and available applications. In this talk we describe the micro-service architecture and how to use it to build complex applications. You will learn how techniques such as Command Query Responsibility Segregation (CQRS) and Event Sourcing address the key challenges of developing applications with this architecture. We will also cover some of the various frameworks such as NodeJS and Spring Boot that you can use to implement micro-services.
#JaxLondon: Building microservices with Scala, functional domain models and S...Chris Richardson
In this talk you will learn about a modern way of designing applications that’s very different from the traditional approach of building monolithic applications that persist mutable domain objects in a relational database.We will talk about the microservice architecture, it’s benefits and drawbacks and how Spring Boot can help. You will learn about implementing business logic using functional, immutable domain models written in Scala. We will describe event sourcing and how it’s an extremely useful persistence mechanism for persisting functional domain objects in a microservices architecture.
Building Microservices with Scala, functional domain models and Spring Boot -...JAXLondon2014
This document summarizes Chris Richardson's presentation on building microservices with Scala, functional domain models, and Spring Boot. The presentation discusses using event sourcing to build event-driven microservices that are eventually consistent. It describes how to design aggregates that generate domain events, implement an event store to persist events immutably, and use event subscribers to update other services and materialized views. The document also covers challenges like handling duplicate events and implementing queries in an eventually consistent system.
Building and deploying microservices with event sourcing, CQRS and Docker (QC...Chris Richardson
In this talk we share our experiences developing and deploying a microservices-based application. You will learn about the distributed data management challenges that arise in a microservices architecture. We will describe how we solved them using event sourcing to reliably publish events that drive eventually consistent workflows and pdate CQRS-based views. You will also learn how we build and deploy the application using a Jenkins-based deployment pipeline that creates Docker images that run on Amazon EC2.
Building microservices with Scala, functional domain models and Spring Boot (...Chris Richardson
In this talk you will learn about a modern way of designing applications that’s very different from the traditional approach of building monolithic applications that persist mutable domain objects in a relational database.We will talk about the microservice architecture, it’s benefits and drawbacks and how Spring Boot can help. You will learn about implementing business logic using functional, immutable domain models written in Scala. We will describe event sourcing and how it’s an extremely useful persistence mechanism for persisting functional domain objects in a microservices architecture.
Developing event-driven microservices with event sourcing and CQRS (Shanghai)Chris Richardson
This is a talk I gave in Shanghai on July 4th 2016
In a microservices architecture, each service has its own database. While this ensures that services are loosely coupled it creates a problem: how do you maintain consistency across services without using 2PC? In this talk you will learn more about these issues and how to solve them by using an event-driven architecture. We will describe how event sourcing and Command Query Responsibility Separation (CQRS) are a great way to realize an event-driven architecture. You will learn about a simple yet powerful approach for building, modern, scalable applications.
A common microservice architecture anti-pattern is more the merrier. It occurs when an organization team builds an excessively fine-grained architecture, e.g. one service-per-developer. In this talk, you will learn about the criteria that you should consider when deciding service granularity. I'll discuss the downsides of a fine-grained microservice architecture. You will learn how sometimes the solution to a design problem is simply a JAR file.
YOW London - Considering Migrating a Monolith to Microservices? A Dark Energy...Chris Richardson
This is a talk I gave at YOW! London 2022.
Let's imagine that you are responsible for an aging monolithic application that's critical to your business. Sadly, getting changes into production is a painful ordeal that regularly causes outages. And to make matters worse, the application's technology stack is growing increasingly obsolete. Neither the business nor the developers are happy. You need to modernize your application and have read about the benefits of microservices. But is the microservice architecture a good choice for your application?
In this presentation, I describe the dark energy and dark matter forces (a.k.a. concerns) that you must consider when deciding between the monolithic and microservice architectural styles. You will learn about how well each architectural style resolves each of these forces. I describe how to evaluate the relative importance of each of these forces to your application. You will learn how to use the results of this evaluation to decide whether to migrate to the microservice architecture.
Dark Energy, Dark Matter and the Microservices Patterns?!Chris Richardson
Dark matter and dark energy are mysterious concepts from astrophysics that are used to explain observations of distant stars and galaxies. The Microservices pattern language - a collection of patterns that solve architecture, design, development, and operational problems — enables software developers to use the microservice architecture effectively. But how could there possibly be a connection between microservices and these esoteric concepts from astrophysics?
In this presentation, I describe how dark energy and dark matter are excellent metaphors for the competing forces (a.k.a. concerns) that must be resolved by the microservices pattern language. You will learn that dark energy, which is an anti-gravity, is a metaphor for the repulsive forces that encourage decomposition into services. I describe how dark matter, which is an invisible matter that has a gravitational effect, is a metaphor for the attractive forces that resist decomposition and encourage the use of a monolithic architecture. You will learn how to use the dark energy and dark matter forces as guide when designing services and operations.
Dark energy, dark matter and microservice architecture collaboration patternsChris Richardson
Dark energy and dark matter are useful metaphors for the repulsive forces, which encourage decomposition into services, and the attractive forces, which resist decomposition. You must balance these conflicting forces when defining a microservice architecture including when designing system operations (a.k.a. requests) that span services.
In this talk, I describe the dark energy and dark matter forces. You will learn how to design system operations that span services using microservice architecture collaboration patterns: Saga, Command-side replica, API composition, and CQRS patterns. I describe how each of these patterns resolve the dark energy and dark matter forces differently.
It sounds dull but good architecture documentation is essential. Especially when you are actively trying to improve your architecture.
For example, I spend a lot time helping clients modernize their software architecture. More often than I like, I’m presented with a vague and lifeless collection of boxes and lines. As a result, it’s sometimes difficult to discuss the architecture in a meaningful and productive way. In this presentation, I’ll describe techniques for creating minimal yet effective documentation for your application’s microservice architecture. In particular, you will learn how documenting scenarios can bring your architecture to life.
Using patterns and pattern languages to make better architectural decisions Chris Richardson
This is a presentation that gave at the O'Reilly Software Architecture Superstream: Software Architecture Patterns.
The talk's focus is the microservices pattern language.
However, it also shows how thinking with the pattern mindset - context/problem/forces/solution/consequences - leads to better technically decisions.
The microservices architecture offers tremendous benefits, but it’s not a silver bullet. It also has some significant drawbacks. The microservices pattern language—a collection of patterns that solve architecture, design, development, and operational problems—enables software developers to apply the microservices architecture effectively. I provide an overview of the microservices architecture and examines the motivations for the pattern language, then takes you through the key patterns in the pattern language.
Rapid, reliable, frequent and sustainable software development requires an architecture that is loosely coupled and modular.
Teams need to be able complete their work with minimal coordination and communication with other teams.
They also need to be able keep the software’s technology stack up to date.
However, the microservice architecture isn’t always the only way to satisfy these requirements.
Yet, neither is the monolithic architecture.
In this talk, I describe loose coupling and modularity and why they are is essential.
You will learn about three architectural patterns: traditional monolith, modular monolith and microservices.
I describe the benefits, drawbacks and issues of each pattern and how well it supports rapid, reliable, frequent and sustainable development.
You will learn some heuristics for selecting the appropriate pattern for your application.
Events to the rescue: solving distributed data problems in a microservice arc...Chris Richardson
To deliver a large complex application rapidly, frequently and reliably, you often must use the microservice architecture.
The microservice architecture is an architectural style that structures the application as a collection of loosely coupled services.
One challenge with using microservices is that in order to be loosely coupled each service has its own private database.
As a result, implementing transactions and queries that span services is no longer straightforward.
In this presentation, you will learn how event-driven microservices address this challenge.
I describe how to use sagas, which is an asynchronous messaging-based pattern, to implement transactions that span services.
You will learn how to implement queries that span services using the CQRS pattern, which maintain easily queryable replicas using events.
Mucon 2021 - Dark energy, dark matter: imperfect metaphors for designing micr...Chris Richardson
In order to explain certain astronomical observations, physicists created the mysterious concepts of dark energy and dark matter.
Dark energy is a repulsive force.
It’s an anti-gravity that is forcing matter apart and accelerating the expansion of the universe.
Dark matter has the opposite attraction effect.
Although it’s invisible, dark matter has a gravitational effect on stars and galaxies.
In this presentation, you will learn how these metaphors apply to the microservice architecture.
I describe how there are multiple repulsive forces that drive the decomposition of your application into services.
You will learn, however, that there are also multiple attractive forces that resist decomposition and bind software elements together.
I describe how as an architect you must find a way to balance these opposing forces.
Skillsmatter CloudNative eXchange 2020
The microservice architecture is a key part of cloud native.
An essential principle of the microservice architecture is loose coupling.
If you ignore this principle and develop tightly coupled services the result will mostly likely be yet another "microservices failure story”.
Your application will be brittle and have all of disadvantages of both the monolithic and microservice architectures.
In this talk you will learn about the different kinds of coupling and how to design loosely coupled microservices.
I describe how to minimize design time and increase the productivity of your DevOps teams.
You will learn how how to reduce runtime coupling and improve availability.
I describe how to improve availability by minimizing the coupling caused by your infrastructure.
Decompose your monolith: Six principles for refactoring a monolith to microse...Chris Richardson
This was a talk I gave at the CTO virtual summit on July 28th. It describes 6 principles for refactoring to a microservice architecture.
1. Make the most of your monolith
2. Adopt microservices for the right reasons
3. Migrate incrementally
4. Begin with the end in mind
5. Migrate high-value modules first
6. Success is improved velocity and reliability
The microservice architecture is becoming increasingly important. But what is it exactly? Why should you care about microservices? And, what do you need to do to ensure that your organization uses the microservice architecture successfully? In this talk, I’ll answer these and other questions. You will learn about the motivations for the microservice architecture and why simply adopting microservices is insufficient. I describe essential characteristics of microservices, You will learn how a successful microservice architecture consists of loosely coupled services with stable APIs that communicate asynchronously.
This document discusses strategies for migrating a monolithic application to microservices. It begins with an overview of decomposing a monolith and implementing new features as microservices. It then provides an example of extracting the delivery module from a monolithic food delivery application into its own delivery microservice. The example outlines the steps of splitting the code, extracting the relevant database tables, defining and deploying the new delivery service, integrating it with the monolith, and removing the old code. Finally, it discusses implementing a delayed delivery service as another example.
The primary goal of the microservice architecture is to enable the rapid, reliable delivery of software with DevOps. One of the pillars of DevOps is automated testing, yet many organizations attempt to adopt microservices while still doing manual testing. What’s more, the microservice architecture has its own distinctive automated testing challenges.
This presentation describes how to descend the testing pyramid and replace slow, brittle, end-to-end tests with faster, more reliable tests for individual services. You will learn how to write tests that ensure that service APIs evolve while preserving backward compatibility. You’ll learn how, by running these tests in a deployment pipeline, you will fully benefit from microservices.
Oracle CodeOne 2019: Decompose Your Monolith: Strategies for Migrating to Mic...Chris Richardson
A typical mission-critical enterprise application is a large, complex monolith developed by a large team. Software delivery is usually slow, and the team struggles to keep up with the demands of the business. Consequently, many enterprise applications are good candidates to be migrated to the microservice architecture. But how do you know whether it makes sense to migrate to microservices and how to get there?
This session describes when you should consider migrating to microservices. You will learn strategies for migrating a monolith application to a microservice architecture. The presentation explains how to implement new functionality as services, and you will also learn how to incrementally break apart a monolith, one service at a time.
YOW! Perth: Cubes, Hexagons, Triangles, and More: Understanding the Microserv...Chris Richardson
YOW! Perth 2019 presentation
The microservice architecture is becoming increasing important. But what is it exactly? Why should you care about microservices? And, what do you need to do to ensure that your organization uses the microservice architecture successfully? In this talk, I’ll answer these and other questions using shapes as visual metaphors. You will learn about the motivations for the microservice architecture and why simply adopting microservices is insufficient. I describe essential characteristics of microservices, You will learn how a successful microservice architecture consist of loosely coupled services with stable APIs that communicate asynchronous. I will cover strategies for effectively testing microservices.
MicroCPH - Managing data consistency in a microservice architecture using SagasChris Richardson
This document summarizes Chris Richardson's presentation on using sagas to maintain data consistency in a microservices architecture. Richardson explains that ACID transactions cannot be used across services due to limitations of distributed transactions. Instead, sagas can be used, where each service performs a local transaction and messages are passed between services. There are two main approaches to coordinating sagas: choreography-based using domain events, and orchestration-based where a central saga manages the process. Countermeasures like semantic locking are also needed to prevent data anomalies from the lack of isolation in sagas.
Melbourne Jan 2019 - Microservices adoption anti-patterns: Obstacles to decom...Chris Richardson
This document discusses common anti-patterns that organizations face when adopting a microservices architecture. It describes the "Magic Pixie Dust" anti-pattern of believing microservices alone will solve development problems without addressing underlying issues like code quality or deployment processes. It also discusses treating microservices as a goal in itself rather than focusing on enabling rapid delivery, and the risks of a scattershot or premature adoption of microservices before teams have the necessary skills. The document emphasizes that infrastructure should not be the focus, and that the number of services should be optimized rather than maximized. It warns against making changes without adjusting organizational processes and policies to support the new architecture.
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F-Secure Freedome VPN is a virtual private network service developed by F-Secure, a Finnish cybersecurity company. It offers features such as Wi-Fi protection, IP address masking, browsing protection, and a kill switch to enhance online privacy and security .
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
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AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
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Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
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The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
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Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
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Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
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Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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3. @crichardson
About Eventuate
Distributed data management platform for microservices
Programming model based on
Transactional, asynchronous messaging
Sagas
CQRS
Event Sourcing
Java/JVM (Spring Boot/Micronaut), NodeJS, .NET
http://eventuate.io/
4. @crichardson
Microservice
Architecture
Database per
Service
Saga CQRS
Choreography-
based
Saga
Orchestration-
based saga
Domain Event
Async
Request/
Response
Event SourcingTransactional
Outbox
Motivating
Pattern
Solution
Pattern
Solution A Solution B
General Specific
Eventuate Local
Eventuate through microservices patterns
Key distributed data management patterns
Key enabling patterns
Idempotent
Consumer
Needed for loose design-time and runtime coupling
Implements queries that span servicesImplements transactions that
span services
Eventuate Tram
6. @crichardson
About the Eventuate CDC
service
Publishes messages inserted into the message/events table to
the message broker:
Tails MySQL/Postgres transaction log
Uses polling for other databases
Spring Boot application/available as a Docker container
Scaling - CDC per service database
17. @crichardson
Events: publishing
Events = Messages++
aggregateType = channel
aggregateId is the partition key = ensures ordering of events
from a given aggregate
19. @crichardson
About commands
Builds on transaction messaging
Asynchronous Request/response
Request message has headers:
commandType - used to select command handler
replyTo - channel to send reply to
25. @crichardson
About Eventuate Local
Event Sourcing framework for Java/Spring Boot/Micronaut
Event store built on open-source technologies
Database: “JDBC” databases: MySQL, Postgres, SQL
Server, …
Message broker: Apache Kafka