Microservices are an architectural style that structures an application as a collection of small, independent services that communicate with each other. Each service runs a unique process and focuses on doing a small job, such as user authentication or shopping cart functionality. The advantages of microservices include improved scalability, maintainability, and ability to upgrade parts of the system independently. However, adopting microservices also introduces additional operational complexity and communication overhead between services.
This document discusses exactly once semantics in Apache Kafka 0.11. It provides an overview of how Kafka achieved exactly once delivery between producers and consumers. Key points include:
- Kafka 0.11 introduced exactly once semantics with changes to support transactions and deduplication.
- Producers can write in a transactional fashion and receive acknowledgments of committed writes from brokers.
- Brokers store commit markers to track the progress of transactions and ensure no data loss during failures.
- Consumers can read from brokers in a transactional mode and receive data only from committed transactions, guaranteeing no duplication of records.
- This allows reliable message delivery semantics between producers and consumers with Kafka acting as
William Vambenepe – Google Cloud Dataflow and Flink , Stream Processing by De...Flink Forward
?
1. Google Cloud Dataflow is a fully managed service that allows users to define data processing pipelines that can run batch or streaming computations.
2. The Dataflow programming model defines pipelines as directed graphs of transformations on collections of data elements. This provides flexibility in how computations are defined across batch and streaming workloads.
3. The Dataflow service handles graph optimization, scaling of workers, and monitoring of jobs to efficiently execute user-defined pipelines on Google Cloud Platform.
Microservices Platform with Spring Boot, Spring Cloud Config, Spring Cloud Ne...Tin Linn Soe
?
This document provides an overview of microservices architecture using Spring Boot, Eureka, and Spring Cloud. It describes using Spring Boot for cloud-native development, Eureka for service registration and discovery, Spring Cloud Config for distributed configuration, Zuul proxy for API gateway, Feign for communication between services, Sleuth for distributed request tracing, and demonstrates a sample application with three microservices that register with Eureka and fetch configurations from Config Server while communicating through Feign and tracing logs with Sleuth. Diagrams and code snippets are presented to illustrate the concepts and architecture.
CQRS recipes or how to cook your architectureThomas Jaskula
?
The principles of CQRS is very simple. Separate Reads from Writes. Although when you try to implement it in you can face many technical and functional problems. This presentation starts from very simple architecture and while business requirements are added we consider other architecture ending with a CQRS + DDD + ES one.
PowerCMSクラウドは、CMSサーバー自体の冗長構成と24/365の監視により高可用性を確保すると共に、別途フロントサーバーの設置によりAzure Web AppsのSLA( 99.95% )が適用されます。またフロントサーバーへの自動スケールアウト設定により、トラフィックの増大にも備えることが出来ます。サーバーやCMSのセキュリティ対策もサービスとして実施されるため、利用者がパッチを充てる作業は必要ありません。
We hear a lot about microservices vs. SOA but in reality most companies have both. In this session learn about how you can introduce microservices into your existing infrastructure and where microservices makes the most sense. Topics include how API management and the integration platform help you introduce microservices without the anarchy. See how products such as Oracle API Platform Cloud Service and Oracle Service Bus can be used to support traditional integration styles as well as microservices.
Presented by Luis Weir, Principal, Oracle Ace Director, Capgemini, at Oracle OpenWorld 2016.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
?
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Azure DataBricks for Data Engineering by Eugene PolonichkoDimko Zhluktenko
?
This document provides an overview of Azure Databricks, a Apache Spark-based analytics platform optimized for Microsoft Azure cloud services. It discusses key components of Azure Databricks including clusters, workspaces, notebooks, visualizations, jobs, alerts, and the Databricks File System. It also outlines how data engineers can leverage Azure Databricks for scenarios like running ETL pipelines, streaming analytics, and connecting business intelligence tools to query data.
Implementing a Fileserver with Nginx and LuaAndrii Gakhov
?
Using the power of Nginx it is easy to implement quite complex logic of file upload with metadata and authorization support, and without need of any heavy application server. In this article you can find the basic implementation of such Fileserver using Nginx and Lua only.
CQRS recipes or how to cook your architectureThomas Jaskula
?
The principles of CQRS is very simple. Separate Reads from Writes. Although when you try to implement it in you can face many technical and functional problems. This presentation starts from very simple architecture and while business requirements are added we consider other architecture ending with a CQRS + DDD + ES one.
PowerCMSクラウドは、CMSサーバー自体の冗長構成と24/365の監視により高可用性を確保すると共に、別途フロントサーバーの設置によりAzure Web AppsのSLA( 99.95% )が適用されます。またフロントサーバーへの自動スケールアウト設定により、トラフィックの増大にも備えることが出来ます。サーバーやCMSのセキュリティ対策もサービスとして実施されるため、利用者がパッチを充てる作業は必要ありません。
We hear a lot about microservices vs. SOA but in reality most companies have both. In this session learn about how you can introduce microservices into your existing infrastructure and where microservices makes the most sense. Topics include how API management and the integration platform help you introduce microservices without the anarchy. See how products such as Oracle API Platform Cloud Service and Oracle Service Bus can be used to support traditional integration styles as well as microservices.
Presented by Luis Weir, Principal, Oracle Ace Director, Capgemini, at Oracle OpenWorld 2016.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
?
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Azure DataBricks for Data Engineering by Eugene PolonichkoDimko Zhluktenko
?
This document provides an overview of Azure Databricks, a Apache Spark-based analytics platform optimized for Microsoft Azure cloud services. It discusses key components of Azure Databricks including clusters, workspaces, notebooks, visualizations, jobs, alerts, and the Databricks File System. It also outlines how data engineers can leverage Azure Databricks for scenarios like running ETL pipelines, streaming analytics, and connecting business intelligence tools to query data.
Implementing a Fileserver with Nginx and LuaAndrii Gakhov
?
Using the power of Nginx it is easy to implement quite complex logic of file upload with metadata and authorization support, and without need of any heavy application server. In this article you can find the basic implementation of such Fileserver using Nginx and Lua only.
The document provides an overview of using Trello for agile project management. It discusses how to set up boards and lists, create cards for tasks and user stories, assign members, add voting, labels, due dates, checklists and attachments. It also explains how to use Trello for planning meetings, daily stand-ups, reviews, retrospectives and templates. Key aspects covered include prioritizing work, tracking progress, facilitating collaboration and customizing the workflow.
Trello is a collaboration tool that allows users to organize projects into boards. Boards contain lists where cards with information can be added and rearranged as tasks are worked on. Users can comment and attach files to cards to share updates and files with team members working on a project.