The document provides an overview of when to use the Oracle Service Bus (OSB). It discusses how OSB compares to the Oracle SOA Suite and its key capabilities including agility, scalability, and performance. Examples are provided for common integration patterns supported by OSB, such as message transformation, routing, dynamic routing, message enrichment through service callouts, service pooling for reliability, and result caching for improved performance. The document also outlines bad practices to avoid with OSB, such as complex service orchestration without transactions.
This document provides an overview of Oracle Service Bus, discussing how it can address SOA requirements through capabilities like proxy services, message transformations, and routing. It describes the target audience, roadmap for the course which covers the OSB architecture, key technologies, proxy service development and management. Finally, it demonstrates how OSB can integrate with other products through its interoperability features.
Oracle Service Bus vs. Oracle Enterprise Service Bus vs. BPELGuido Schmutz
The document discusses Oracle Service Bus, Oracle Enterprise Service Bus, and BPEL, describing when each should be used. It provides an overview of the components of the Oracle SOA Suite and how ESB and BPEL fit into the architecture. Basic services are well-suited for the ESB, composite services can use BPEL or the ESB, and process services are best implemented with BPEL and BPMN. The Oracle Enterprise Service Bus will become the Mediator service engine in SOA Suite 11g, while the Oracle Service Bus remains the primary ESB.
Getting the service description (WSDL)
Configure Service Bus
Import Resources
Configure Business Service
Config ure the Credit Card Validation Proxy
Configure Message Flow(Validate & Report)
Adding a Pipeline Pair ->Add Stage ->Add Action(Reporting) ->Add Validate Action
Oracle Service Bus 12c (12.2.1) What You Always Wanted to KnowFrank Munz
This document provides an overview of Oracle Service Bus 12c, including:
- Key components of SOA like EAI, BPM, BPEL and how OSB fits into the SOA architecture.
- New features in OSB 12c like XQuery 1.0 support, JavaScript actions, and improved monitoring capabilities.
- Best practices for OSB configuration including pipeline reuse, versioning, clustering, and avoiding issues like heap overload and deadlocks.
- A discussion of Oracle Cloud offerings for SOA like SOA Cloud Service and Integration Cloud Service that aim to provide benefits of PaaS like quick provisioning and easy scaling.
Designing APIs and Microservices Using Domain-Driven DesignLaunchAny
Presented at GlueCon 2016. Applying good software engineering practices, system design, and domain-driven design for your public APIs and microservices
Exploring OrientDB as Graph Database model as NoSQL database.
The main goal of this project is to provide theoretical, technical details and debates on some powerful features of OrientDB. We provide some comparison attempts between OrientDB 2.1.8 and SQL Server 2012, they are mostly focused on MovieLens dataset and build recommendation engine.
This document provides an overview of Oracle Service Bus, discussing how it can address SOA requirements through capabilities like proxy services, message transformations, and routing. It describes the target audience, roadmap for the course which covers the OSB architecture, key technologies, proxy service development and management. Finally, it demonstrates how OSB can integrate with other products through its interoperability features.
Oracle Service Bus vs. Oracle Enterprise Service Bus vs. BPELGuido Schmutz
The document discusses Oracle Service Bus, Oracle Enterprise Service Bus, and BPEL, describing when each should be used. It provides an overview of the components of the Oracle SOA Suite and how ESB and BPEL fit into the architecture. Basic services are well-suited for the ESB, composite services can use BPEL or the ESB, and process services are best implemented with BPEL and BPMN. The Oracle Enterprise Service Bus will become the Mediator service engine in SOA Suite 11g, while the Oracle Service Bus remains the primary ESB.
Getting the service description (WSDL)
Configure Service Bus
Import Resources
Configure Business Service
Config ure the Credit Card Validation Proxy
Configure Message Flow(Validate & Report)
Adding a Pipeline Pair ->Add Stage ->Add Action(Reporting) ->Add Validate Action
Oracle Service Bus 12c (12.2.1) What You Always Wanted to KnowFrank Munz
This document provides an overview of Oracle Service Bus 12c, including:
- Key components of SOA like EAI, BPM, BPEL and how OSB fits into the SOA architecture.
- New features in OSB 12c like XQuery 1.0 support, JavaScript actions, and improved monitoring capabilities.
- Best practices for OSB configuration including pipeline reuse, versioning, clustering, and avoiding issues like heap overload and deadlocks.
- A discussion of Oracle Cloud offerings for SOA like SOA Cloud Service and Integration Cloud Service that aim to provide benefits of PaaS like quick provisioning and easy scaling.
Designing APIs and Microservices Using Domain-Driven DesignLaunchAny
Presented at GlueCon 2016. Applying good software engineering practices, system design, and domain-driven design for your public APIs and microservices
Exploring OrientDB as Graph Database model as NoSQL database.
The main goal of this project is to provide theoretical, technical details and debates on some powerful features of OrientDB. We provide some comparison attempts between OrientDB 2.1.8 and SQL Server 2012, they are mostly focused on MovieLens dataset and build recommendation engine.
The document discusses the challenges of legacy application systems and strategies for their modernization. It notes that maintaining legacy systems consumes a large portion of IT budgets. Modernizing applications can increase security, compliance, productivity and innovation but requires assessing systems, selecting appropriate modernization approaches, rethinking architectures, choosing modern tech stacks, and planning for ongoing updates and training. The best practices highlighted include architecture-driven modernization and iterative decision-making frameworks.
This document discusses designing a scalable web architecture for an e-commerce site. It recommends:
1) Using a service-based architecture with microservices for components like the UI, queue, analytics algorithms, and database.
2) Scaling services horizontally using load balancing and auto-scaling.
3) Collecting performance metrics to monitor everything and make data-driven decisions about scaling.
4) Storing data in multiple databases like MySQL, MongoDB, HBase based on their suitability and scaling them independently as services.
Cloud architecture with the ArchiMate LanguageIver Band
This document discusses using the ArchiMate modeling language to model cloud architectures within an enterprise context. It provides an overview of ArchiMate 3.0 and shows how AWS web hosting reference architectures can be modeled at the technology layer. It demonstrates how ArchiMate can connect cloud solutions to enterprise strategy, business processes, and physical infrastructure. Adopting ArchiMate allows an organization to plan, design and ensure proper implementation of cloud solutions across the entire enterprise.
This document discusses best practices for designing RESTful web services. It begins by defining REST as an architectural style for distributed hypermedia systems, rather than a protocol or standard. The document outlines the constraints and principles of RESTful design, including client-server architecture, statelessness, cacheability and a uniform interface. It then evaluates several common approaches to building web APIs in terms of how well they follow REST principles. The document argues that an API designed according to REST principles, using hypermedia and self-descriptive messages, results in a loosely coupled and scalable design.
This white paper discusses how insurance companies can use the TOGAF and ArchiMate standards together with the ACORD framework and standards to manage their enterprise architectures and standardize their operations. It provides an overview of TOGAF, ArchiMate, and the ACORD initiatives. It then presents a case study of modeling the new business setup process for group term life insurance using these standards. The paper concludes that the ACORD framework and standards complement TOGAF and ArchiMate and can help insurance organizations achieve boundaryless information flow.
This document provides an overview of microservices architecture, including concepts, characteristics, infrastructure patterns, and software design patterns relevant to microservices. It discusses when microservices should be used versus monolithic architectures, considerations for sizing microservices, and examples of pioneers in microservices implementation like Netflix and Spotify. The document also covers domain-driven design concepts like bounded context that are useful for decomposing monolithic applications into microservices.
Developing with oracle enterprise scheduler service for fusion applicationsChandrakant Wanare ☁
This document provides instructions on how to set up a development environment and create a simple application that uses Oracle Enterprise Scheduler Service (ESS) for Fusion Applications. It covers installing JDeveloper, configuring an integrated WebLogic server domain, creating an ADF application with Model and ViewController projects, adding required libraries and metadata definitions, implementing an ESS job and UI, deployment, and testing. The goal is to illustrate the minimum steps to create an environment and build a basic ESS application.
Oracle's cloud strategy is to bring leading infrastructure, technology, business applications, and information to customers and partners anywhere in the world through the Oracle Cloud. The Oracle Cloud includes Platform-as-a-Service, Infrastructure-as-a-Service, Software-as-a-Service, and Information-as-a-Service offerings. Oracle aims to provide a highly differentiated cloud with the broadest and most integrated suite of applications and platforms, seamless integration between cloud and on-premise environments, and best-in-class operations.
The document provides an introduction to the ELK stack, which is a collection of three open source products: Elasticsearch, Logstash, and Kibana. It describes each component, including that Elasticsearch is a search and analytics engine, Logstash is used to collect, parse, and store logs, and Kibana is used to visualize data with charts and graphs. It also provides examples of how each component works together in processing and analyzing log data.
The document discusses securing Apache Kafka with SPIFFE and SPIRE at TransferWise. It describes how client-broker connections normally work with TLS and the problems with long-lived certificates. It then explains how SPIFFE and SPIRE can be used to issue short-lived certificates to clients through Envoy, eliminating the need for long-term certificate management and enabling diverse clients without problems. Envoy acts as a proxy between clients and brokers, enforcing mTLS using certificates issued by SPIRE. This allows securing Kafka with no code changes needed on the client side.
The document provides an overview of enterprise architecture. It defines enterprise architecture as the analysis and documentation of an enterprise from strategic, business, and technical perspectives. The overview discusses the key concepts of enterprise architecture including business networks, information flows, infrastructure, products/services, and transition planning. It also provides a high-level view of how enterprise architecture analyzes an organization's current and future state across technology, business, and strategy.
AWS System Manager: Parameter Store를 사용한 AWS 구성 데이터 관리 기법 - 정창훈, 당근마켓 / 김대권, ...Amazon Web Services Korea
AWS System Manager: Parameter Store를 사용한 AWS 구성 데이터 관리 기법
정창훈, 당근마켓
AWS Systems Manager는 모든 AWS 리소스에 대한 가시성과 운영 데이터 통합 및 자동화 제어를 가능하게 하는 멋진 서비스입니다. 본 세션에서는 System Manager의 기본 기능에 대한 소개와 함께 어려워서 못쓰기보다 몰라서 안쓰는 Parameter Store의 사용법과 구성 정보 관리 부터 ECS, KMS, Lambda와 같은 AWS의 다른 서비스들과 연동해서 사용하는 방법에 대해서 당근 마켓의 실제 사례와 함께 소개합니다.
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
The document outlines the topics covered in an Oracle Integration Cloud course including:
1. An overview of Oracle Integration Cloud (OIC) including its architecture, integration workflow, built-in adapters, and integration scenarios.
2. How to subscribe to Oracle Cloud and access an OIC instance to perform integrations, create connections, mappings, and activate/deactivate integrations.
3. Administration and monitoring of integrations using the OIC dashboard to monitor tasks, metrics, messages, and integration errors.
4. Additional features covered include integration scheduling, security, versioning and cloning of integrations, and using OIC agents.
AWS App Mesh (Service Mesh Magic)- AWS Container Day 2019 BarcelonaAmazon Web Services
In this session, learn about how AWS App Mesh can help give you end-to-end visibility and manage traffic routing to ensure high availability for your microservice. We will cover what the need for a service mesh, capabilities of App Mesh, and show you a demo.
This document provides an overview of Oracle's Siebel CRM Open UI. Some key points:
- The Open UI provides a platform for desktop, mobile, connected and disconnected use with a familiar look and feel across browsers and devices.
- It is accessible, easy to deploy via URL and credentials, and supports existing application definitions and integration.
- The demonstration highlights the Open UI framework and tools, and how it defines CRM interactions through a user-centered approach.
- The roadmap focuses on enhancing industry applications, horizontal processes, and partner portals with rich interfaces to improve the user experience.
- Microservices advocate creating a system from small, isolated services that each own their data and are independently scalable and resilient. They are inspired by biological cells that are small, single-purpose, and work together through messaging.
- The system is divided using a divide and conquer approach, decomposing it into discrete subsystems that communicate over well-defined protocols. Each microservice focuses on a single business capability and owns its own data and behavior.
- Microservices communicate asynchronously through APIs and events to maintain independence and isolation, which enables continuous delivery, failure resilience, and independent scaling of each service.
The document discusses microservice architecture, including concepts, benefits, principles, and challenges. Microservices are an architectural style that structures an application as a collection of small, independent services that communicate with each other, often using RESTful API's. The approach aims to overcome limitations of monolithic architectures like scalability and allow for independent deployments. The key principles include organizing services around business domains, automating processes, and designing services to be independently deployable.
With the boom in cloud services that many companies are currently leveraging, integration between them is becoming more and more important. It is not unusual for an organization to have a combination of on-premise and cloud applications, all talking to each other. For SOA-based integrations, security becomes more critical than ever. This presentation is a technical deep-dive on how to secure your integrations via WS-Security and Oracle Web Services Manager (OWSM) for both inbound and outbound integrations. We discuss authentication, message encryption, two-way SSL certificates, and more. A brief mention on Oracle API Manager is provided as well.
- The document describes an Oracle SOA development workshop that will cover Oracle integration products like SOA Suite, OSB, and OWSM. It includes an agenda and details a use case of integrating a web application and mobile application with back-end databases using the Oracle integration stack. Key components that will be developed include an OSB proxy service, SOA composite with BPEL and mediator, database adapters, and BAM reports. The workshop will take attendees through creating and integrating these various components from start to finish.
The document discusses the challenges of legacy application systems and strategies for their modernization. It notes that maintaining legacy systems consumes a large portion of IT budgets. Modernizing applications can increase security, compliance, productivity and innovation but requires assessing systems, selecting appropriate modernization approaches, rethinking architectures, choosing modern tech stacks, and planning for ongoing updates and training. The best practices highlighted include architecture-driven modernization and iterative decision-making frameworks.
This document discusses designing a scalable web architecture for an e-commerce site. It recommends:
1) Using a service-based architecture with microservices for components like the UI, queue, analytics algorithms, and database.
2) Scaling services horizontally using load balancing and auto-scaling.
3) Collecting performance metrics to monitor everything and make data-driven decisions about scaling.
4) Storing data in multiple databases like MySQL, MongoDB, HBase based on their suitability and scaling them independently as services.
Cloud architecture with the ArchiMate LanguageIver Band
This document discusses using the ArchiMate modeling language to model cloud architectures within an enterprise context. It provides an overview of ArchiMate 3.0 and shows how AWS web hosting reference architectures can be modeled at the technology layer. It demonstrates how ArchiMate can connect cloud solutions to enterprise strategy, business processes, and physical infrastructure. Adopting ArchiMate allows an organization to plan, design and ensure proper implementation of cloud solutions across the entire enterprise.
This document discusses best practices for designing RESTful web services. It begins by defining REST as an architectural style for distributed hypermedia systems, rather than a protocol or standard. The document outlines the constraints and principles of RESTful design, including client-server architecture, statelessness, cacheability and a uniform interface. It then evaluates several common approaches to building web APIs in terms of how well they follow REST principles. The document argues that an API designed according to REST principles, using hypermedia and self-descriptive messages, results in a loosely coupled and scalable design.
This white paper discusses how insurance companies can use the TOGAF and ArchiMate standards together with the ACORD framework and standards to manage their enterprise architectures and standardize their operations. It provides an overview of TOGAF, ArchiMate, and the ACORD initiatives. It then presents a case study of modeling the new business setup process for group term life insurance using these standards. The paper concludes that the ACORD framework and standards complement TOGAF and ArchiMate and can help insurance organizations achieve boundaryless information flow.
This document provides an overview of microservices architecture, including concepts, characteristics, infrastructure patterns, and software design patterns relevant to microservices. It discusses when microservices should be used versus monolithic architectures, considerations for sizing microservices, and examples of pioneers in microservices implementation like Netflix and Spotify. The document also covers domain-driven design concepts like bounded context that are useful for decomposing monolithic applications into microservices.
Developing with oracle enterprise scheduler service for fusion applicationsChandrakant Wanare ☁
This document provides instructions on how to set up a development environment and create a simple application that uses Oracle Enterprise Scheduler Service (ESS) for Fusion Applications. It covers installing JDeveloper, configuring an integrated WebLogic server domain, creating an ADF application with Model and ViewController projects, adding required libraries and metadata definitions, implementing an ESS job and UI, deployment, and testing. The goal is to illustrate the minimum steps to create an environment and build a basic ESS application.
Oracle's cloud strategy is to bring leading infrastructure, technology, business applications, and information to customers and partners anywhere in the world through the Oracle Cloud. The Oracle Cloud includes Platform-as-a-Service, Infrastructure-as-a-Service, Software-as-a-Service, and Information-as-a-Service offerings. Oracle aims to provide a highly differentiated cloud with the broadest and most integrated suite of applications and platforms, seamless integration between cloud and on-premise environments, and best-in-class operations.
The document provides an introduction to the ELK stack, which is a collection of three open source products: Elasticsearch, Logstash, and Kibana. It describes each component, including that Elasticsearch is a search and analytics engine, Logstash is used to collect, parse, and store logs, and Kibana is used to visualize data with charts and graphs. It also provides examples of how each component works together in processing and analyzing log data.
The document discusses securing Apache Kafka with SPIFFE and SPIRE at TransferWise. It describes how client-broker connections normally work with TLS and the problems with long-lived certificates. It then explains how SPIFFE and SPIRE can be used to issue short-lived certificates to clients through Envoy, eliminating the need for long-term certificate management and enabling diverse clients without problems. Envoy acts as a proxy between clients and brokers, enforcing mTLS using certificates issued by SPIRE. This allows securing Kafka with no code changes needed on the client side.
The document provides an overview of enterprise architecture. It defines enterprise architecture as the analysis and documentation of an enterprise from strategic, business, and technical perspectives. The overview discusses the key concepts of enterprise architecture including business networks, information flows, infrastructure, products/services, and transition planning. It also provides a high-level view of how enterprise architecture analyzes an organization's current and future state across technology, business, and strategy.
AWS System Manager: Parameter Store를 사용한 AWS 구성 데이터 관리 기법 - 정창훈, 당근마켓 / 김대권, ...Amazon Web Services Korea
AWS System Manager: Parameter Store를 사용한 AWS 구성 데이터 관리 기법
정창훈, 당근마켓
AWS Systems Manager는 모든 AWS 리소스에 대한 가시성과 운영 데이터 통합 및 자동화 제어를 가능하게 하는 멋진 서비스입니다. 본 세션에서는 System Manager의 기본 기능에 대한 소개와 함께 어려워서 못쓰기보다 몰라서 안쓰는 Parameter Store의 사용법과 구성 정보 관리 부터 ECS, KMS, Lambda와 같은 AWS의 다른 서비스들과 연동해서 사용하는 방법에 대해서 당근 마켓의 실제 사례와 함께 소개합니다.
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
The document outlines the topics covered in an Oracle Integration Cloud course including:
1. An overview of Oracle Integration Cloud (OIC) including its architecture, integration workflow, built-in adapters, and integration scenarios.
2. How to subscribe to Oracle Cloud and access an OIC instance to perform integrations, create connections, mappings, and activate/deactivate integrations.
3. Administration and monitoring of integrations using the OIC dashboard to monitor tasks, metrics, messages, and integration errors.
4. Additional features covered include integration scheduling, security, versioning and cloning of integrations, and using OIC agents.
AWS App Mesh (Service Mesh Magic)- AWS Container Day 2019 BarcelonaAmazon Web Services
In this session, learn about how AWS App Mesh can help give you end-to-end visibility and manage traffic routing to ensure high availability for your microservice. We will cover what the need for a service mesh, capabilities of App Mesh, and show you a demo.
This document provides an overview of Oracle's Siebel CRM Open UI. Some key points:
- The Open UI provides a platform for desktop, mobile, connected and disconnected use with a familiar look and feel across browsers and devices.
- It is accessible, easy to deploy via URL and credentials, and supports existing application definitions and integration.
- The demonstration highlights the Open UI framework and tools, and how it defines CRM interactions through a user-centered approach.
- The roadmap focuses on enhancing industry applications, horizontal processes, and partner portals with rich interfaces to improve the user experience.
- Microservices advocate creating a system from small, isolated services that each own their data and are independently scalable and resilient. They are inspired by biological cells that are small, single-purpose, and work together through messaging.
- The system is divided using a divide and conquer approach, decomposing it into discrete subsystems that communicate over well-defined protocols. Each microservice focuses on a single business capability and owns its own data and behavior.
- Microservices communicate asynchronously through APIs and events to maintain independence and isolation, which enables continuous delivery, failure resilience, and independent scaling of each service.
The document discusses microservice architecture, including concepts, benefits, principles, and challenges. Microservices are an architectural style that structures an application as a collection of small, independent services that communicate with each other, often using RESTful API's. The approach aims to overcome limitations of monolithic architectures like scalability and allow for independent deployments. The key principles include organizing services around business domains, automating processes, and designing services to be independently deployable.
With the boom in cloud services that many companies are currently leveraging, integration between them is becoming more and more important. It is not unusual for an organization to have a combination of on-premise and cloud applications, all talking to each other. For SOA-based integrations, security becomes more critical than ever. This presentation is a technical deep-dive on how to secure your integrations via WS-Security and Oracle Web Services Manager (OWSM) for both inbound and outbound integrations. We discuss authentication, message encryption, two-way SSL certificates, and more. A brief mention on Oracle API Manager is provided as well.
- The document describes an Oracle SOA development workshop that will cover Oracle integration products like SOA Suite, OSB, and OWSM. It includes an agenda and details a use case of integrating a web application and mobile application with back-end databases using the Oracle integration stack. Key components that will be developed include an OSB proxy service, SOA composite with BPEL and mediator, database adapters, and BAM reports. The workshop will take attendees through creating and integrating these various components from start to finish.
This document discusses integration options for Oracle E-Business Suite using web services and SOA. It describes Oracle's Oracle Applications Adapter and Integrated SOA Gateway products. The Applications Adapter exposes existing Oracle E-Business Suite integration interfaces as web services. The SOA Gateway provides an out-of-the-box infrastructure for enabling Oracle E-Business Suite for SOA-based integrations and registering services from the Integration Repository. The document also outlines Oracle's roadmap and vision for evolving Oracle E-Business Suite to adopt new technologies like SOA.
Oracle Service Bus and Oracle SOA Suite in the Mobile WorldGuido Schmutz
The document discusses how Oracle Service Bus and Oracle SOA Suite can help with mobile integration. It describes some common integration challenges with mobile applications, like mobile apps using REST/JSON instead of SOAP/XML. It then provides examples of how Service Bus can be used to expose existing SOAP services through REST, access cloud services, enrich messages, reorder messages, increase reliability with service pooling, and increase scalability through load balancing.
This document discusses Oracle technologies including SOA Suite, AIA, and Fusion Apps. It begins with a disclaimer and introduction about the presenter's background. It then provides an overview of Oracle's technology stack and how AIA fits within layers for applications, platforms, and integration technologies. The document drills down on specific Oracle products like WebLogic, ODI, SOA Suite, OBIEE, and how AIA leverages a canonical data model and development strategies to enable integration and an approach to SOA.
The document describes an Oracle SOA presentation. It includes an agenda that covers understanding Oracle integration products, a use case for integration, and implementing the solution. The presentation then reviews key Oracle integration products like SOA Suite, OSB, OWSM, and BAM. It provides details on implementing the use case, which involves integrating a web and mobile application by routing orders to different database tables using a SOA composite with a BPEL process, mediator, and connections to the databases and BAM.
This document discusses integration possibilities between Oracle Primavera applications and other systems. It outlines three main modes of integration: data-level integration using SQL and ETL; service-oriented integration using web services, events, and APIs; and user interface integration using custom portlets and HTML/XML. The document provides examples of how Primavera can consume and provide web services, enable events, and leverage the Oracle BPM Suite for workflow development and management between systems.
Oracle SOA Suite in use – a practical experience reportGuido Schmutz
The document discusses two cases where Oracle SOA Suite was used in practical applications. Case 1 describes how SOA Suite was used to integrate an ERP system with external systems, replacing a batch-based interface. Case 2 discusses a modernization project where SOA Suite was used to modernize a legacy system and expose its services.
This document discusses service-oriented architecture (SOA) and why organizations move to SOA. It defines SOA as a technology architectural model that organizes applications and processes in terms of reusable services. Adopting SOA provides benefits like agility, lower costs, reduced risk, consistency, ease of use and reuse. It then lists several Oracle products that support implementing and managing a SOA, such as Service Component Architecture (SCA), BPEL, Mediator, Human Workflow, Adapter Framework, Event Delivery Network (EDN), Business Activity Monitoring (BAM), Oracle Service Bus, JDeveloper, and Fusion Applications. It also compares the Mediator and Oracle Service Bus.
Oracle SOA Suite 11g Mediator vs. Oracle Service Bus (OSB)Guido Schmutz
With Oracle SOA Suite 11g the old Oracle ESB become the Mediator component. With that only one "real" service bus resides, the Oracle Serivce Bus (OSB), which has been taken over from BEA (used to be Aqualogic Service Bus).
Mediator and OSB have some overlapping funcitonality, like transformation, routing and filtering. The question automatically raised is of course when to use which component. This presentation shows the difference between the components, the functionality they provide and some typical use cases for both.
The document discusses cloud computing and designing applications for scalability and availability in the cloud. It covers key considerations for moving to the cloud like design for failure, building loosely coupled systems, implementing elasticity, and leveraging different storage options. It also discusses challenges like application scalability and availability and how to address them through patterns like caching, partitioning, and implementing elasticity. The document uses examples like MapReduce to illustrate how to build applications that can scale horizontally across infrastructure in the cloud.
The wrap-up session agenda covered several SOA patterns and use cases:
1. It discussed service broker pattern, pipes and filters, trusted subsystems, and functional decomposition for connecting a service client to backend services while allowing changes.
2. It explored aggregating data from multiple time tracking applications into a single report view using aggregated data and logical flows patterns.
3. BPM and SOA integration was examined to coordinate long-running processes across services.
4. Metadata management patterns like shared repository and version identification were presented for governance.
5. High performance and C++ integration into SOA was listed as a use case.
SOA Summer School: Best of SOA Summer School – Encore Session WSO2
This wrap-up session of WSO2's SOA Summer School brings you the best of all sessions conducted over the past 8 weeks. Enterprise architects, developers, consultants and business analysts can now gain an overall understanding of SOA concepts and implementations of end-to-end SOA solutions.
Where to use the Oracle Service Bus @ OBUG Connect 22-04-2012Jan van Zoggel
The document discusses where and how to use the Oracle Service Bus (OSB). It can be used for high volume, stateless integrations. Specific use cases include security, transformation, throttling, caching, load balancing, and routing. Mediators are well-suited for loosely coupling Oracle BPEL processes and features like MDS usage. Oracle BPEL is better for stateful, long-running processes. The document also outlines some bad practices to avoid like putting business logic in the datamodel or overusing Java and complexity.
WebLogic Diagnostic Framework Dr. Frank Munz / munz & more WLS11gInSync Conference
This document provides an overview of the WebLogic Diagnostic Framework (WLDF). It discusses how WLDF can be used to monitor WebLogic Server and applications through features like instrumentation, diagnostic archives, watches and notifications. Specific WLDF components are explained like collected metrics, diagnostic modules, and actions. Examples are given around monitoring method invocation statistics and using dye injection. The document recommends WLDF as being well designed, well documented, and quick to apply once there is a learning period. It suggests some areas for improvement in WLDF documentation and hot swap functionality.
This document summarizes projects related to service-oriented architecture (SOA) solutions from EBM WebSourcing and the Dragon product. It discusses Dragon version 1, which will provide CBDI metamodel support, connect to Petals ESB, import service descriptions, and include additional documentation features. Dragon version 2 is outlined as managing the full service lifecycle and service-level agreements, and exporting SLA configurations to Petals. The document promotes visiting EBM WebSourcing at the French pavilion and OW2 at the Tarent booth for more information.
21st Century Service Oriented ArchitectureBob Rhubart
Service Oriented Architecture has evolved from concept to reality in the last decade. The right methodology coupled with mature SOA technologies has helped customers demonstrate success in both innovation and ROI. In this session you will learn how Oracle SOA Suite’s orchestration, virtualization, and governance capabilities provide the infrastructure to run mission critical business and system applications. And we’ll take a special look at the convergence of SOA & BPM using Oracle’s Unified technology stack.
(As presented by Samrat Ray at Oracle Technology Network Architect Day in Chicago, October 24, 2011.)
Five Cool Use Cases for the Spring Component of the SOA Suite 11gGuido Schmutz
Both Oracle SOA Suite and Oracle Unified Business Process Management Suite make it possible to embed Java code as a Service Component Architecture (SCA) first-class citizen through the Spring component implementation type. Thereby the coarse-grained components of Oracle SOA Suite are extended by the much-finer-grained Spring beans wrapped inside the Spring component. This session presents five cool use cases for the Spring component. It shows how and why you would want to use the Spring component and will hopefully inspire attendees to use it for their own projects.
This document presents an integrated approach for semi-automated service composition including three main components: a template generator, composer, and optimizer. The template generator discovers relevant templates from past executions to avoid starting composition from scratch. The composer further details the generated templates. The optimizer aims to maximize the quality of compositions by considering semantic and non-functional properties. The approach is validated through an e-commerce example and experiments demonstrate scalability. Future work includes improving template relevance and adapting the approach based on contextual information.
The document discusses the architecture of Microsoft Exchange 2013. Exchange 2013 uses a building block approach to facilitate deployments at any scale. It utilizes server role evolution, network layer improvements, and versioning/interoperability principles. The architecture features load balancing at the network and client access layers. Exchange 2013 also includes a new managed store that reduces database IOPS and supports larger mailboxes and modern public folders with improved search capabilities.
The document discusses a team demonstrating a live application development using Oracle Fusion Middleware technologies to manage the process of organizing a large conference with hundreds of speakers and thousands of attendees, highlighting the business challenges they face, how they define the data model, interfaces, and processes using various Fusion Middleware components, and the agenda for their demo.
Fusion Middleware Live Application Development Demo Oracle Open World 2012Lucas Jellema
The document discusses a team demonstrating how to use Fusion Middleware applications to help organize a large conference with hundreds of speakers, thousands of attendees, and strict deadlines by defining the data model, interfaces, business events, and processes and then designing services and user interfaces to automate tasks and allow communication. The demonstration will include defining the process in BPMN, implementing services, creating user interfaces, and revising based on feedback before doing an end-to-end demo.
Oracle Panel: Expert Insights into Faster Oracle SOA Suite Project DeliveryGuido Schmutz
Slides from the Oracle Open World 2014 SOA Panel: Hear directly from Oracle SOA Suite implementation experts about how to shorten development and testing for your Oracle SOA Suite projects. Wondering how to set up your projects faster? How to debug and test faster? How to go into production faster? Attend this session, and save time on your next project so you can focus on that project you've always wanted to do but never had time.
Enterprise Use Case - Selecting an Enterprise Service Bus WSO2
The document discusses selecting an enterprise service bus (ESB) and provides the following information:
1. It outlines an ESB evaluation framework that examines common and advanced ESB features.
2. It describes using the framework to understand how to implement common use cases and demonstrate ease of development with graphical tools and connectors.
3. It evaluates the composable architecture and enterprise fit by examining cross-component use cases, governance practices, security, and performance validation.
SQL Azure Database provides SQL Server database technology as a cloud service, addressing issues with on-premises databases like high maintenance costs and difficulty achieving high availability. It allows databases to automatically scale out elastically with demand. SQL Azure Database uses multiple physical replicas of a single logical database to provide automatic fault tolerance and high availability without complex configuration. Developers can access SQL Azure using standard SQL client libraries and tools from any application.
An Enterprise Service Bus (ESB) provides a common integration infrastructure across enterprise applications and systems. It acts as a lightweight backbone through which software services and components interact. The ESB handles messaging, routing, protocol conversion, and provides capabilities like quality of service, policy enforcement, transaction management, and security. It evolved from point-to-point integration and message-oriented middleware as a more flexible, scalable and standards-based integration approach.
The document discusses best practices for using the Oracle Service Bus (OSB). It provides an overview of the OSB and how it relates to the Oracle SOA Suite. It then describes appropriate uses of the OSB for high volume, stateless integrations and mediation scenarios. It outlines how to leverage features like caching, load balancing, security, transformations, throttling, and routing. The document concludes by describing some bad practices to avoid, such as overusing Java or complex orchestrations in the OSB.
This presentation gives an overview about WSO2's technology platform as of Q2 2009. It gives an update about the ESB, the Web Services Application Server, Business Process Server as well as the re-branded Governance Registry and Identity Server.
Similar to Where and when to use the Oracle Service Bus (OSB) (20)
30 Minutes to the Analytics Platform with Infrastructure as CodeGuido Schmutz
Analytical platforms for PoCs and evaluation can be built in the cloud in an hour - with ready-made setup scripts. But if you put the services together freely, it gets more difficult. The open-source platform-in-a-box "Platys" (https://github.com/TrivadisPF/platys) shows that it is easier for test and PoC environments. In addition to possible uses and examples, we explain services and "just briefly" set up a data lake with a database, event broker, stream processing, blob store, SQL access and data science notebook.
Event Broker (Kafka) in a Modern Data ArchitectureGuido Schmutz
Today's modern data architectures and the their implementations contain an Event Broker. What are the benefits of placing an Event Broker in a Modern Data (Analytics) Architecture? What exactly is an Event Broker and what capabilities should it provide? Why is Apache Kafka the most popular realisation of an Event Broker?
These and many other questions will be answered in this session. The talk will start with a vendor-neutral definition of the capabilities of an Event Broker.
Then the session will highlight the different architecture styles which can be supported using an Event Broker (Kafka), such as Streaming Data Integration, Stream Analytics and Decoupled Event-Driven Applications and how can these be combined into a unified architecture, making the Event Broker the central nervous system of an enterprise architecture. We will end with an overview of the Kafka ecosystem and a placement of the various components onto the Modern Data (Analytics) Architecture.
Big Data, Data Lake, Fast Data - Dataserialiation-FormatsGuido Schmutz
The concept of "Data Lake" is in everyone's mind today. The idea of storing all the data that accumulates in a company in a central location and making it available sounds very interesting at first. But Data Lake can quickly turn from a clear, beautiful mountain lake into a huge pond, especially if it is inexpertly entrusted with all the source data formats that are common in today's enterprises, such as XML, JSON, CSV or unstructured text data. Who, after some time, still has an overview of which data, which format and how they have developed over different versions? Anyone who wants to help themselves from the Data Lake must ask themselves the same questions over and over again: what information is provided, what data types do they have and how has the content changed over time?
Data serialization frameworks such as Apache Avro and Google Protocol Buffer (Protobuf), which enable platform-independent data modeling and data storage, can help. This talk will discuss the possibilities of Avro and Protobuf and show how they can be used in the context of a data lake and what advantages can be achieved. The support on Avro and Protobuf by Big Data and Fast Data platforms is also a topic.
ksqlDB is a stream processing SQL engine, which allows stream processing on top of Apache Kafka. ksqlDB is based on Kafka Stream and provides capabilities for consuming messages from Kafka, analysing these messages in near-realtime with a SQL like language and produce results again to a Kafka topic. By that, no single line of Java code has to be written and you can reuse your SQL knowhow. This lowers the bar for starting with stream processing significantly.
ksqlDB offers powerful capabilities of stream processing, such as joins, aggregations, time windows and support for event time. In this talk I will present how KSQL integrates with the Kafka ecosystem and demonstrate how easy it is to implement a solution using ksqlDB for most part. This will be done in a live demo on a fictitious IoT sample.
Kafka as your Data Lake - is it Feasible?Guido Schmutz
For a long time we discuss how much data we can keep in Kafka. Can we store data forever or do we remove data after a while and maybe having the history in a data lake on Object Storage or HDFS? With the advent of Tiered Storage in Confluent Enterprise Platform, storing data much longer in Kafka is much very feasible. So can we replace a traditional data lake with just Kafka? Maybe at least for the raw data? But what about accessing the data, for example using SQL?
KSQL allows for processing data in a streaming fashion using an SQL like dialect. But what about reading all data of a topic? You can reset the offset and still use KSQL. But there is another family of products, so-called query engines for Big Data. They originate from the idea of reading Big Data sources such as HDFS, object storage or HBase, using the SQL language. Presto, Apache Drill and Dremio are the most popular solutions in that space. Lately these query engines also added support for Kafka topics as a source of data. With that you can read a topic as a table and join it with information available in other data sources. The idea of course is not real-time streaming analytics but batch analytics directly on the Kafka topic, without having to store it in a big data storage.
This talk answers, how well these tools support Kafka as a data source. What serialization formats do they support? Is there some form of predicate push-down supported or do we have to always read the complete topic? How performant is a query against a topic, compared to a query against the same data sitting in HDFS or an object store? And finally, will this allow us to replace our data lake or at least part of it by Apache Kafka?
Event Hub (i.e. Kafka) in Modern Data ArchitectureGuido Schmutz
Today's modern data architectures and the their implementations contain an Event Hub. What are the benefits of placing an Event Hub in a Modern Data (Analytics) Architecture? What exactly is an Event Hub and what capabilities should it provide? Why is Apache Kafka the most popular realization of an Event Hub?
These and many other questions will be answered in this session. The talk will start with a vendor-neutral definition of the capabilities of an Event Hub.
Then the session will highlight the different architecture styles which can be supported using an Event Hub (Kafka), such as Streaming Data Integration, Stream Analytics and Decoupled Event-Driven Applications and how can these be combined into a unified architecture, making the Event Hub the central nervous system of an enterprise architecture. We will end with an overview of the Kafka ecosystem and a placement of the various components onto the Modern Data (Analytics) Architecture.
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaGuido Schmutz
Apache Kafka is a popular distributed streaming data platform and more and more is the architectural backbone for integrating streaming data with a Data Lake, Microservices and Stream Processing. A lot of data necessary in stream processing is stored in traditional systems backed by relational databases. This session will present different approaches for integrating relational databases with Kafka, such as Kafka Connect, Oracle GoldenGate, ORDS APIs and bridging Kafka with Oracle AQ.
Event Hub (i.e. Kafka) in Modern Data (Analytics) ArchitectureGuido Schmutz
Today's modern data architectures and the their implementations contain an Event Hub. What are the benefits of placing an Event Hub in a Modern Data (Analytics) Architecture? What exactly is an Event Hub and what capabilities should it provide? Why is Apache Kafka the most popular realization of an Event Hub? These and many other questions will be answered in this session. The talk will start with a vendor-neutral definition of the capabilities of an Event Hub. Then the session will highlight the different architecture styles which can be supported using an Event Hub (Kafka), such as Streaming Data Integration, Stream Analytics and Decoupled Event-Driven Applications and how can these be combined into a unified architecture, making the Event Hub the central nervous system of an enterprise architecture. We will end with an overview of the Kafka ecosystem and a placement of the various components onto the Modern Data (Analytics) Architecture.
Building Event Driven (Micro)services with Apache KafkaGuido Schmutz
What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? 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 start with quick recap of how we created systems over the past 20 years and how different architectures evolved from it. The talk will show 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.
Location Analytics - Real-Time Geofencing using Apache KafkaGuido Schmutz
An important underlying concept behind location-based applications is called geofencing. Geofencing is a process that allows acting on users and/or devices who enter/exit a specific geographical area, known as a geo-fence. A geo-fence can be dynamically generated—as in a radius around a point location, or a geo-fence can be a predefined set of boundaries (such as secured areas, buildings, boarders of counties, states or countries).
Geofencing lays the foundation for realizing use cases around fleet monitoring, asset tracking, phone tracking across cell sites, connected manufacturing, ride-sharing solutions and many others.
GPS tracking tells constantly and in real time where a device is located and forms the stream of events which needs to be analyzed against the much more static set of geo-fences. Many of the use cases mentioned above require low-latency actions taken place, if either a device enters or leaves a geo-fence or when it is approaching such a geo-fence. That’s where streaming data ingestion and streaming analytics and therefore the Kafka ecosystem comes into play.
This session will present how location analytics applications can be implemented using Kafka and KSQL & Kafka Streams. It highlights the exiting features available out-of-the-box and then shows how easy it is to extend it by custom defined functions (UDFs). The design of such solution so that it can scale with both an increasing amount of position events as well as geo-fences will be discussed as well.
Solutions for bi-directional integration between Oracle RDBMS and Apache KafkaGuido Schmutz
The document discusses various solutions and blueprints for integrating data between an Oracle relational database management system (RDBMS) and the Apache Kafka streaming platform. It begins with an introduction to microservices architecture and the need for integrating traditional and modern applications. It then outlines five blueprints for moving data from an Oracle RDBMS to Kafka, including polling database tables/views, change data capture, polling APIs, producing directly to Kafka, and using queues. Finally, it briefly discusses blueprints for moving data from Kafka to an Oracle RDBMS.
What is Apache Kafka? Why is it so popular? Should I use it?Guido Schmutz
This document discusses Apache Kafka and provides an overview of its key properties and use cases. It notes that Kafka is a publish-subscribe messaging system that is horizontally scalable, highly available, durable, and schema-less. It can be used for streaming data integration and as a central data bus. The document outlines how Kafka fits into a complete streaming data architecture, including ingesting data from various sources, stream processing, batch integration, visualization, and connecting to data lakes, databases, and microservices. It positions Kafka as the central nervous system that streams can connect to and interact with.
Solutions for bi-directional integration between Oracle RDBMS & Apache KafkaGuido Schmutz
Apache Kafka is a popular distributed streaming data platform. A Kafka cluster stores streams of records (messages) in categories called topics. It is the architectural backbone for integrating streaming data with a Data Lake, Microservices and Stream Processing. Data sources flowing into Kafka are often native data streams such as social media streams, telemetry data, financial transactions and many others. But these data stream only contain part of the information. A lot of data necessary in stream processing is stored in traditional systems backed by relational databases. To implement new and modern, real-time solutions, an up-to-date view of that information is needed. So how do we make sure that information can flow between the RDBMS and Kafka, so that changes are available in Kafka as soon as possible in near-real-time? This session will present different approaches for integrating relational databases with Kafka, such as Kafka Connect, Oracle GoldenGate and bridging Kafka with Oracle Advanced Queuing (AQ).
Location Analytics Real-Time Geofencing using KafkaGuido Schmutz
An important underlying concept behind location-based applications is called geofencing. Geofencing is a process that allows acting on users and/or devices who enter/exit a specific geographical area, known as a geo-fence. A geo-fence can be dynamically generated—as in a radius around a point location, or a geo-fence can be a predefined set of boundaries (such as secured areas, buildings, boarders of counties, states or countries).
Geofencing lays the foundation for realizing use cases around fleet monitoring, asset tracking, phone tracking across cell sites, connected manufacturing, ride-sharing solutions and many others.
GPS tracking tells constantly and in real time where a device is located and forms the stream of events which needs to be analyzed against the much more static set of geo-fences. Many of the use cases mentioned above require low-latency actions taken place, if either a device enters or leaves a geo-fence or when it is approaching such a geo-fence. That’s where streaming data ingestion and streaming analytics and therefore the Kafka ecosystem comes into play.
This session will present how location analytics applications can be implemented using Kafka and KSQL & Kafka Streams. It highlights the exiting features available out-of-the-box and then shows how easy it is to extend it by custom defined functions (UDFs). The design of such solution so that it can scale with both an increasing amount of position events as well as geo-fences will be discussed as well.
Most data visualisation solutions today still work on data sources which are stored persistently in a data store, using the so called “data at rest” paradigms. More and more data sources today provide a constant stream of data, from IoT devices to Social Media streams. These data stream publish with high velocity and messages often have to be processed as quick as possible. For the processing and analytics on the data, so called stream processing solutions are available. But these only provide minimal or no visualisation capabilities. One option is to first persist the data into a data store and then use a traditional data visualisation solution to present the data. If latency is not an issue, such a solution might be good enough. An other question is which data store solution is necessary to keep up with the high load on write and read. If it is not an RDBMS but an NoSQL database, then not all traditional visualisation tools might already integrate with the specific data store. An other option is to use a Streaming Visualisation solution. They are specially built for streaming data and often do not support batch data. A much better solution would be to have one tool capable of handling both, batch and streaming data. This talk presents different architecture blueprints for integrating data visualisation into a fast data solutions and then we show how the different blueprints can be implemented by mapping products onto the blueprints.
Kafka as an event store - is it good enough?Guido Schmutz
Event Sourcing and CQRS are two popular patterns for implementing a Microservices architectures. With Event Sourcing we do not store the state of an object, but instead store all the events impacting its state. Then to retrieve an object state, we have to read the different events related to a certain object and apply them one by one. CQRS (Command Query Responsibility Segregation) on the other hand is a way to dissociate writes (Command) and reads (Query). Event Sourcing and CQRS are frequently grouped and used together to form something bigger. While it is possible to implement CQRS without Event Sourcing, the opposite is not necessarily correct. In order to implement Event Sourcing, an efficient Event Store is needed. But is that also true when combining Event Sourcing and CQRS? And what is an event store in the first place and what features should it implement?
This presentation will first discuss what functionalities an event store should offer and then present how Apache Kafka can be used to implement an event store. But is Kafka good enough or do specific event store solutions such as AxonDB or Event Store provide a better solution?
Solutions for bi-directional Integration between Oracle RDMBS & Apache KafkaGuido Schmutz
A Kafka cluster stores streams of records (messages) in categories called topics. It is the architectural backbone for integrating streaming data with a Data Lake, Microservices and Stream Processing. Today’s enterprises have their core systems often implemented on top of relational databases, such as the Oracle RDBMS. Implementing a new solution supporting the digital strategy using Kafka and the ecosystem can not always be done completely separate from the traditional legacy solutions. Often streaming data has to be enriched with state data which is held in an RDBMS of a legacy application. It’s important to cache this data in the stream processing solution, so that It can be efficiently joined to the data stream. But how do we make sure that the cache is kept up-to-date, if the source data changes? We can either poll for changes from Kafka using Kafka Connect or let the RDBMS push the data changes to Kafka. But what about writing data back to the legacy application, i.e. an anomaly is detected inside the stream processing solution which should trigger an action inside the legacy application. Using Kafka Connect we can write to a database table or view, which could trigger the action. But this not always the best option. If you have an Oracle RDBMS, there are many other ways to integrate the database with Kafka, such as Advanced Queueing (message broker in the database), CDC through Golden Gate or Debezium, Oracle REST Database Service (ORDS) and more. In this session, we present various blueprints for integrating an Oracle RDBMS with Apache Kafka in both directions and discuss how these blueprints can be implemented using the products mentioned before.
Fundamentals Big Data and AI ArchitectureGuido Schmutz
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
The right architecture is key for any IT project. This is valid in the case for big data projects as well, but on the other hand there are not yet many standard architectures which have proven their suitability over years.
This session discusses different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Event Driven architecture as well as Lambda and Kappa architecture.
Each architecture is presented in a vendor- and technology-independent way using a standard architecture blueprint. In a second step, these architecture blueprints are used to show how a given architecture can support certain use cases and which popular open source technologies can help to implement a solution based on a given architecture.
Location Analytics - Real-Time Geofencing using Kafka Guido Schmutz
An important underlying concept behind location-based applications is called geofencing. Geofencing is a process that allows acting on users and/or devices who enter/exit a specific geographical area, known as a geo-fence. A geo-fence can be dynamically generated—as in a radius around a point location, or a geo-fence can be a predefined set of boundaries (such as secured areas, buildings, boarders of counties, states or countries). Geofencing lays the foundation for realising use cases around fleet monitoring, asset tracking, phone tracking across cell sites, connected manufacturing, ride-sharing solutions and many others. Many of the use cases mentioned above require low-latency actions taken place, if either a device enters or leaves a geo-fence or when it is approaching such a geo-fence. That’s where streaming data ingestion and streaming analytics and therefore the Kafka ecosystem comes into play. This session will present how location analytics applications can be implemented using Kafka and KSQL & Kafka Streams. It highlights the exiting features available out-of-the-box and then shows how easy it is to extend it by custom defined functions (UDFs).
The document discusses three blueprints for streaming visualization:
1. Using a fast datastore with regular polling from consumers, which introduces some delay but allows using data stores' full capabilities. Example technologies are Elasticsearch/Kibana and InfluxDB/Grafana.
2. Directly streaming data to consumers with minimal latency but more complex client-side processing. Examples are Kafka Connect to Slack and WebSockets/SSE apps.
3. Streaming SQL results to consumers, providing SQL query capabilities with minimal latency but limiting historical data access. KSQL and Spark Streaming are discussed.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.