Functional Application Logging : Code Examples Using Spring Boot and Logback
This presentation details a logging strategy where you divide your application logs into N distinct functional logs
- SLF4J is a logging facade that allows switching between different logging implementations without code changes. Logback is one such implementation that can be used with SLF4J.
- Logback has advantages over Log4j like being more efficient and configurable via XML or code. It exposes its API through SLF4J.
- Logback's architecture consists of core, classic and access modules. Classic extends core and implements SLF4J. Access integrates with web servers.
- Logback uses appenders to write logs, encoders to format outputs, and layouts to define formats. Filters control which logs to output.
The document discusses best practices for exception handling in Java applications. It recommends that exceptions should only be used for exceptional situations, be properly logged, and result in appropriate error responses. Business exceptions should be thrown for invalid user behavior, while technical exceptions occurring internally should be wrapped in business exceptions. Exceptions should have clear, descriptive names and result in the proper HTTP status codes. The document also provides examples of implementing localized exceptions, handling exceptions globally or at the controller level, and using SLF4J with Logback for logging.
Constructors in Java are special methods that are used to initialize objects. There are two types of constructors: default (no-arg) constructors that take no parameters, and parameterized constructors that allow passing parameters to initialize an object. Constructors must have the same name as the class and cannot have a return type. They are automatically called when an object is created using the new keyword to allocate memory and initialize fields.
The document discusses Spring Boot, a framework from the Spring Team that aims to ease the bootstrapping and development of new Spring applications. Spring Boot allows applications to start quickly with very little Spring configuration. It provides some sensible defaults to help developers get started quickly on new projects.
The document provides an overview of the Spring framework. It discusses that Spring simplifies enterprise Java development through dependency injection, aspect-oriented programming, and reducing boilerplate code. It describes the main Spring modules including the core container, AOP, DAO, and web modules. The core container manages the beans in a Spring application, creating, configuring, and wiring them together. The document contrasts BeanFactory and ApplicationContext, noting ApplicationContext provides additional features like internationalization support and publishing events.
Spring Boot is a framework for creating stand-alone, production-grade Spring based applications that can be "just run". It aims to provide a radically faster and widely accessible starting experience for developing Spring applications. Spring Boot applications can be started using java -jar or traditional WAR deployments and require very little Spring configuration. The document then discusses system requirements, development environment, creating a simple Hello World application, using Spring Boot Admin to monitor applications, configuring databases, Spring Data JPA, REST controllers, caching with EhCache, building web applications with Thymeleaf, and project structure.
Quick introduction to Spring Framework. Following are the topics I have included in this presentations:
1. Introduction to Software Framework
2. What is Spring Framework?
3. Spring Framework History
4. Spring Framework Architecture
5. Why Spring?
6. Spring Framework Ecosystem
This document discusses Aspect Oriented Programming (AOP) using the Spring Framework. It defines AOP as a programming paradigm that extends OOP by enabling modularization of crosscutting concerns. It then discusses how AOP addresses common crosscutting concerns like logging, validation, caching, and transactions through aspects, pointcuts, and advice. It also compares Spring AOP and AspectJ, and shows how to implement AOP in Spring using annotations or XML.
This document provides an overview of Spring Boot, including:
- Comparisons between Spring Boot, Spring, and Spring MVC.
- The advantages of Spring Boot like auto-configuration and ease of use.
- How to get started with Spring Boot using start.spring.io and key annotations.
- How Spring Boot handles dependencies, logging, exceptions, and databases.
- References additional resources on Spring Boot.
This is a basic tutorial on Spring core.
Best viewed when animations and transitions are supported, e.g., view in MS Powerpoint. So, please try to view it with animation else the main purpose of this presentation will be defeated.
The document discusses Swagger, an open source API documentation framework. It describes how Swagger is used to document REST APIs and provides an interactive UI. It then outlines how to add Swagger documentation to a Spring Boot project using Springfox, including adding dependencies, configuring Swagger, and annotating controllers. The document demonstrates how Swagger UI allows developers to easily view and test documented APIs in the browser.
Angular is an open-source front-end web development platform for building dynamic single-page applications. It was developed and is maintained by Google. Traditional web applications run from the server, requiring the client to request pages from the server on each user interaction. Single-page applications handle requests and rendering on the client-side using JavaScript, only requiring the server when data needs processing or business logic execution. Angular has evolved through several versions since its initial release in 2010. It is now a TypeScript-based framework that supports progressive web apps and mobile development. Major companies like Google, PayPal, and Microsoft use Angular for its component-based architecture, cross-platform capabilities, and productivity benefits.
Postman is an API development tool that allows users to design, manage, run, test, document, and share APIs. It provides features like request building, documentation, environments, test automation, and collaboration. Alternatives include Paw, Insomnia, command line tools like cURL, and services from Apigee and Apiary. The document recommends using any tool that helps share APIs, especially for complex projects and team collaboration.
This presentation provides an overview of the Java programming language. It discusses what Java is, where it is used, its platforms and editions. Key features of Java like being object-oriented, platform independent and having a virtual machine are explained. The concepts of object-oriented programming like objects, classes, inheritance and polymorphism are also summarized. Data types in Java and different types of variables are briefly covered. Advantages of Java like being simple, not using pointers and the ability to write programs that can be executed on the web are highlighted.
Spring tutorial for beginners - Learn Java Spring Framework version 3.1.0 starting from environment setup, inversion of control (IoC), dependency injection, bean scopes, bean life cycle, inner beans, autowiring, different modules, aspect oriented programming (AOP), database access (JDBC), Transaction Management, Web MVC framework, Web Flow, Exception handling, EJB integration and Sending email etc.
This document discusses Spring Boot and how it provides automatic configuration for common web application functionalities like JPA, security, and Spring MVC. It also covers how Spring Boot uses starter dependencies to select libraries automatically and provides tools like the CLI and Spring Initializr. The document then demonstrates creating a basic Spring Boot application and discusses testing Spring Boot applications using techniques like mocking Spring MVC and integrating tests.
Spring Framework 4 is an open source application framework for Java. It was created to make enterprise Java development easier by promoting best practices. Some key features of Spring include dependency injection for loose coupling, declarative transactions, and aspect oriented programming for separation of concerns. The Spring framework uses an inversion of control container and aspect-oriented programming to configure and manage objects.
Swagger UI enables generating documentation for RESTful APIs that is updated as the server code changes. It works with Spring Boot by adding dependencies, a configuration file, and annotations. This exposes API endpoints in the browser for testing and provides descriptive documentation of each service's title, function, inputs, and outputs.
Logging frameworks allow developers to capture log information at different levels of detail. They consist of loggers to capture information, handlers to publish logs to destinations, and formatters to structure log outputs. Common logging levels include DEBUG, INFO, WARN, and ERROR. Choosing the right logging level and messages is important to balance detail with performance. Log4j is often the framework of choice, though SLF4J provides a common API for different logging implementations. Proper configuration and best practices help ensure effective and efficient logging.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Spring Boot is a framework for creating stand-alone, production-grade Spring-based applications that can be started using java -jar without requiring any traditional application servers. It is designed to get developers up and running as quickly as possible with minimal configuration. Some key features of Spring Boot include automatic configuration, starter dependencies to simplify dependency management, embedded HTTP servers, security, metrics, health checks and externalized configuration. The document then provides examples of building a basic RESTful web service with Spring Boot using common HTTP methods like GET, POST, PUT, DELETE and handling requests and responses.
This document discusses the Spring framework. It defines framework as software that provides predefined support for application development. Spring is described as an open source, lightweight application framework that uses inversion of control (IOC) and dependency injection (DI). The document outlines the different versions and modules of Spring, including core, DAO, ORM, context, AOP, and web modules. It also discusses Spring architecture, the types of frameworks (invasive and non-invasive), and the resources needed to develop a Spring application.
Introduction to Java Programming, Basic Structure, variables Data type, input...Mr. Akaash
This is First Lecture of java Programming which cover all basic points (ie. History and feature of java, Introduction to java, about variables data type and compilation....
The document discusses aspect-oriented programming (AOP) and key AOP concepts like joinpoints, pointcuts, advice, and aspects. It explains how AOP addresses cross-cutting concerns in code through separation of concerns using pointcuts, advice, and aspects rather than scattering code throughout a system. The document also provides examples of how to configure AOP using Spring AOP through pointcuts, advice definitions, and proxies.
The document provides an agenda and introduction for a Java training over multiple days. Day 1 will cover an introduction to Java including its history, features, programming paradigm, sample program execution, JVM, data types, objects, classes, variables, and flow control statements. The training will cover key Java concepts like objects, classes, variables, different loops and conditional statements. Assignments are provided to practice the concepts covered.
This document discusses the Log4E logging plugin, which automates the addition of logging code to Java programs. It supports several logging frameworks, including Log4J. The plugin inserts log statements at the start and end of methods and for variables. While it does not provide a logging framework itself, it helps configure Log4J by generating a sample log4j.properties configuration file. The document demonstrates using Log4E and Log4J to add logging to a sample Java application.
Logging best practice in mule using logger componentGovind Mulinti
Logging is a key part of application debugging and analysis. This document discusses best practices for logging in Mule applications using the logger component. It recommends configuring log4j to use RollingFileAppender to control log file sizes. The logger component should be used to log messages with the log level and category string providing meaning. The category string should indicate the project, functionality, and flow being logged to help decode where log messages originate. Log4j properties can enable logging at granular levels like specific flows by configuring logger categories. Following these practices helps support teams debug issues faster through meaningful logs.
This document discusses Aspect Oriented Programming (AOP) using the Spring Framework. It defines AOP as a programming paradigm that extends OOP by enabling modularization of crosscutting concerns. It then discusses how AOP addresses common crosscutting concerns like logging, validation, caching, and transactions through aspects, pointcuts, and advice. It also compares Spring AOP and AspectJ, and shows how to implement AOP in Spring using annotations or XML.
This document provides an overview of Spring Boot, including:
- Comparisons between Spring Boot, Spring, and Spring MVC.
- The advantages of Spring Boot like auto-configuration and ease of use.
- How to get started with Spring Boot using start.spring.io and key annotations.
- How Spring Boot handles dependencies, logging, exceptions, and databases.
- References additional resources on Spring Boot.
This is a basic tutorial on Spring core.
Best viewed when animations and transitions are supported, e.g., view in MS Powerpoint. So, please try to view it with animation else the main purpose of this presentation will be defeated.
The document discusses Swagger, an open source API documentation framework. It describes how Swagger is used to document REST APIs and provides an interactive UI. It then outlines how to add Swagger documentation to a Spring Boot project using Springfox, including adding dependencies, configuring Swagger, and annotating controllers. The document demonstrates how Swagger UI allows developers to easily view and test documented APIs in the browser.
Angular is an open-source front-end web development platform for building dynamic single-page applications. It was developed and is maintained by Google. Traditional web applications run from the server, requiring the client to request pages from the server on each user interaction. Single-page applications handle requests and rendering on the client-side using JavaScript, only requiring the server when data needs processing or business logic execution. Angular has evolved through several versions since its initial release in 2010. It is now a TypeScript-based framework that supports progressive web apps and mobile development. Major companies like Google, PayPal, and Microsoft use Angular for its component-based architecture, cross-platform capabilities, and productivity benefits.
Postman is an API development tool that allows users to design, manage, run, test, document, and share APIs. It provides features like request building, documentation, environments, test automation, and collaboration. Alternatives include Paw, Insomnia, command line tools like cURL, and services from Apigee and Apiary. The document recommends using any tool that helps share APIs, especially for complex projects and team collaboration.
This presentation provides an overview of the Java programming language. It discusses what Java is, where it is used, its platforms and editions. Key features of Java like being object-oriented, platform independent and having a virtual machine are explained. The concepts of object-oriented programming like objects, classes, inheritance and polymorphism are also summarized. Data types in Java and different types of variables are briefly covered. Advantages of Java like being simple, not using pointers and the ability to write programs that can be executed on the web are highlighted.
Spring tutorial for beginners - Learn Java Spring Framework version 3.1.0 starting from environment setup, inversion of control (IoC), dependency injection, bean scopes, bean life cycle, inner beans, autowiring, different modules, aspect oriented programming (AOP), database access (JDBC), Transaction Management, Web MVC framework, Web Flow, Exception handling, EJB integration and Sending email etc.
This document discusses Spring Boot and how it provides automatic configuration for common web application functionalities like JPA, security, and Spring MVC. It also covers how Spring Boot uses starter dependencies to select libraries automatically and provides tools like the CLI and Spring Initializr. The document then demonstrates creating a basic Spring Boot application and discusses testing Spring Boot applications using techniques like mocking Spring MVC and integrating tests.
Spring Framework 4 is an open source application framework for Java. It was created to make enterprise Java development easier by promoting best practices. Some key features of Spring include dependency injection for loose coupling, declarative transactions, and aspect oriented programming for separation of concerns. The Spring framework uses an inversion of control container and aspect-oriented programming to configure and manage objects.
Swagger UI enables generating documentation for RESTful APIs that is updated as the server code changes. It works with Spring Boot by adding dependencies, a configuration file, and annotations. This exposes API endpoints in the browser for testing and provides descriptive documentation of each service's title, function, inputs, and outputs.
Logging frameworks allow developers to capture log information at different levels of detail. They consist of loggers to capture information, handlers to publish logs to destinations, and formatters to structure log outputs. Common logging levels include DEBUG, INFO, WARN, and ERROR. Choosing the right logging level and messages is important to balance detail with performance. Log4j is often the framework of choice, though SLF4J provides a common API for different logging implementations. Proper configuration and best practices help ensure effective and efficient logging.
Spring Boot is a framework that makes it easy to create stand-alone, production-grade Spring based applications that you can "just run". It allows you to create stand-alone applications, embed Tomcat/Jetty directly with no need to deploy WAR files, and provides starter POMs to simplify configuration. Spring Boot applications are run by adding a spring-boot-gradle-plugin and can then be run as an executable JAR. Features include REST endpoints, security, external configuration, and production monitoring via Actuators.
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Spring Boot is a framework for creating stand-alone, production-grade Spring-based applications that can be started using java -jar without requiring any traditional application servers. It is designed to get developers up and running as quickly as possible with minimal configuration. Some key features of Spring Boot include automatic configuration, starter dependencies to simplify dependency management, embedded HTTP servers, security, metrics, health checks and externalized configuration. The document then provides examples of building a basic RESTful web service with Spring Boot using common HTTP methods like GET, POST, PUT, DELETE and handling requests and responses.
This document discusses the Spring framework. It defines framework as software that provides predefined support for application development. Spring is described as an open source, lightweight application framework that uses inversion of control (IOC) and dependency injection (DI). The document outlines the different versions and modules of Spring, including core, DAO, ORM, context, AOP, and web modules. It also discusses Spring architecture, the types of frameworks (invasive and non-invasive), and the resources needed to develop a Spring application.
Introduction to Java Programming, Basic Structure, variables Data type, input...Mr. Akaash
This is First Lecture of java Programming which cover all basic points (ie. History and feature of java, Introduction to java, about variables data type and compilation....
The document discusses aspect-oriented programming (AOP) and key AOP concepts like joinpoints, pointcuts, advice, and aspects. It explains how AOP addresses cross-cutting concerns in code through separation of concerns using pointcuts, advice, and aspects rather than scattering code throughout a system. The document also provides examples of how to configure AOP using Spring AOP through pointcuts, advice definitions, and proxies.
The document provides an agenda and introduction for a Java training over multiple days. Day 1 will cover an introduction to Java including its history, features, programming paradigm, sample program execution, JVM, data types, objects, classes, variables, and flow control statements. The training will cover key Java concepts like objects, classes, variables, different loops and conditional statements. Assignments are provided to practice the concepts covered.
This document discusses the Log4E logging plugin, which automates the addition of logging code to Java programs. It supports several logging frameworks, including Log4J. The plugin inserts log statements at the start and end of methods and for variables. While it does not provide a logging framework itself, it helps configure Log4J by generating a sample log4j.properties configuration file. The document demonstrates using Log4E and Log4J to add logging to a sample Java application.
Logging best practice in mule using logger componentGovind Mulinti
Logging is a key part of application debugging and analysis. This document discusses best practices for logging in Mule applications using the logger component. It recommends configuring log4j to use RollingFileAppender to control log file sizes. The logger component should be used to log messages with the log level and category string providing meaning. The category string should indicate the project, functionality, and flow being logged to help decode where log messages originate. Log4j properties can enable logging at granular levels like specific flows by configuring logger categories. Following these practices helps support teams debug issues faster through meaningful logs.
Through logging configuration in Mule, it is possible to configure what messages are logged, where they are logged, and how they are logged. By default, Mule uses asynchronous logging and only logs messages at the INFO level or higher using log4j2. The log4j2 configuration file can be customized to define the logging levels, categories, and synchronous or asynchronous logging.
This document discusses various techniques for dynamically generating and modifying Java bytecode at runtime. It begins with an overview of Java classes and classloaders, and how classes can be loaded by different classloaders. It then discusses Java proxies, Spring AOP, and AspectJ for implementing aspects and intercepting method calls. The document delves into using the bootstrap classloader to replace system classes, Java agents for instrumenting classes, and directly writing bytecode using libraries like BCEL. It provides an example of dynamically generating a class to map between two object types at runtime. In summary, the document covers advanced Java concepts like bytecode manipulation that enable dynamically modifying and generating new classes.
This document provides an overview of logging in Java, focusing on the Log4j logging framework. It discusses logging concepts like log levels, appenders, and layouts. It then provides examples of configuring Log4j through properties files, including setting log levels and outputs. The document also presents examples of integrating Log4j in Java code through loggers and handling different log levels.
This document discusses logging frameworks and the Log4E Eclipse plugin. It provides an overview of why logging is useful, how Log4E supports different logging frameworks like Log4J and adds logging code automatically. It also gives instructions on downloading, configuring and using Log4J for logging within a Java application created in Eclipse.
These slides accompanied a presentation by Steve Breker of Artefactual Systems, delivered as part of AtoM Camp Cambridge, a three-day boot camp held at St John's College, Cambridge University, May 9-11, 2017 For more information, see:
https://wiki.accesstomemory.org/Community/Camps/SJC2017
These slides are intended for programmers interested in developing new features for Access to Memory. They first provide an overview of the feature development proccess, and then look at the different types of development typically pursued (plugins, CLI tasks, Background jobs, and core features), with tips and suggestions for each.
The document discusses Java development environments for Domino, including embedded applets, JavaScript, the Domino toolkit for Java/CORBA, and Harmony for Domino EJB. It also covers what to expect in Domino 6, including better integration with J2EE and Websphere. Examples provided include help desk, web services, and spam filter applications. Sites for additional information are listed at the end.
Laravel is an open-source PHP web application framework that provides tools and features to build web applications easily, including a database abstraction layer, tools for dependency injection and an MVC architecture. The document discusses Laravel's features, how to install it by downloading XAMPP, Composer and Visual Studio Code, and describes Laravel's directory structure which separates core code, configurations, routes, storage and other elements into logical folders. Tutorial videos are provided to help learn Laravel.
This document discusses using FreeMarker as a template engine with Spring MVC instead of JSP. It provides an overview of FreeMarker, how to configure Spring MVC to use it, and examples of FreeMarker syntax including variables, collections, includes, and macros. Commonly used FreeMarker components are demonstrated along with comparisons to JSP syntax.
Log4j with selenium tutorial: How to Setup log4j logging in selenium automati...Chirag Thumar
In this selenium tutorial, step-by-step process to set up log4j. How to perform & configured log4j with different two ways. Here we will configure log4j manually using a configuration file for our simple script also we can track or debug our script.
Application logging issues and techniques learnt from best practice and running an on-premise Mulesoft cluster and reporting out to enterprise Splunk indexes
Discover a lightning fast way to debug in Salesforce with RFLIB - Summer 20Johannes Fischer
The document introduces RFLIB, an open source library for Salesforce that provides three core features - a logging framework, trigger framework, and feature switches - to help debug code and configure application behavior. The logging framework allows logging across Apex, Aura, and LWC and provides real-time dashboards. The trigger framework makes triggers decoupled and configurable. Feature switches allow configuring app features through custom metadata. The library aims to help create clean, production-ready code with high operational supportability.
This document discusses logging configuration in Mule. It explains that Mule uses SLF4J as a logging facade and log4j2 by default. It describes how to configure logging levels, categories, and destinations using a log4j2.xml file. Logging can be synchronous or asynchronous, and is asynchronous by default in Mule applications. The locations of log files in Anypoint Studio and standalone mode are also outlined.
The document outlines an enhanced request-response framework (Enhanced REFramework) that improves upon a basic REFramework. The Enhanced REFramework allows for complex scenarios involving multiple subprocesses, with exception handling, retry mechanisms, and audit logging at each subprocess level. It combines dispatcher and performer workflows into a single framework and introduces the concept of "workblocks" to help with effective logging and exception handling across parent and child processes. Key features of the Enhanced REFramework include init state retries, configurable error handling, flexible configuration options, and support for migrating from a basic REFramework.
SLF4J is a logging facade that provides a simple API for various logging frameworks. It allows developers to use a simple logging API while enabling switching between logging implementations. SLF4J acts as a facade for other logging frameworks like Log4j and java.util.logging. It provides parameterized logging methods and markers to tag log messages. Logback is a popular logging implementation that can be used with SLF4J.
Spring data jpa are used to develop spring applicationsmichaelaaron25322
Spring Data JPA helps overcome limitations of JDBC API and raw JPA by automatically generating data access code. It reduces boilerplate code through repository interfaces that expose CRUD methods. The programmer defines database access methods in repository interfaces rather than implementing them, avoiding inconsistency. A Spring Data JPA project contains pom.xml, Spring Boot starters, application.properties, and main class annotated with @SpringBootApplication to run the application.
Canadian book publishing: Insights from the latest salary survey - Tech Forum...BookNet Canada
Join us for a presentation in partnership with the Association of Canadian Publishers (ACP) as they share results from the recently conducted Canadian Book Publishing Industry Salary Survey. This comprehensive survey provides key insights into average salaries across departments, roles, and demographic metrics. Members of ACP’s Diversity and Inclusion Committee will join us to unpack what the findings mean in the context of justice, equity, diversity, and inclusion in the industry.
Results of the 2024 Canadian Book Publishing Industry Salary Survey: https://publishers.ca/wp-content/uploads/2025/04/ACP_Salary_Survey_FINAL-2.pdf
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/canadian-book-publishing-insights-from-the-latest-salary-survey/
Presented by BookNet Canada and the Association of Canadian Publishers on May 1, 2025 with support from the Department of Canadian Heritage.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
AI Agents at Work: UiPath, Maestro & the Future of DocumentsUiPathCommunity
Do you find yourself whispering sweet nothings to OCR engines, praying they catch that one rogue VAT number? Well, it’s time to let automation do the heavy lifting – with brains and brawn.
Join us for a high-energy UiPath Community session where we crack open the vault of Document Understanding and introduce you to the future’s favorite buzzword with actual bite: Agentic AI.
This isn’t your average “drag-and-drop-and-hope-it-works” demo. We’re going deep into how intelligent automation can revolutionize the way you deal with invoices – turning chaos into clarity and PDFs into productivity. From real-world use cases to live demos, we’ll show you how to move from manually verifying line items to sipping your coffee while your digital coworkers do the grunt work:
📕 Agenda:
🤖 Bots with brains: how Agentic AI takes automation from reactive to proactive
🔍 How DU handles everything from pristine PDFs to coffee-stained scans (we’ve seen it all)
🧠 The magic of context-aware AI agents who actually know what they’re doing
💥 A live walkthrough that’s part tech, part magic trick (minus the smoke and mirrors)
🗣️ Honest lessons, best practices, and “don’t do this unless you enjoy crying” warnings from the field
So whether you’re an automation veteran or you still think “AI” stands for “Another Invoice,” this session will leave you laughing, learning, and ready to level up your invoice game.
Don’t miss your chance to see how UiPath, DU, and Agentic AI can team up to turn your invoice nightmares into automation dreams.
This session streamed live on May 07, 2025, 13:00 GMT.
Join us and check out all our past and upcoming UiPath Community sessions at:
👉 https://community.uipath.com/dublin-belfast/
UiPath Automation Suite – Cas d'usage d'une NGO internationale basée à GenèveUiPathCommunity
Nous vous convions à une nouvelle séance de la communauté UiPath en Suisse romande.
Cette séance sera consacrée à un retour d'expérience de la part d'une organisation non gouvernementale basée à Genève. L'équipe en charge de la plateforme UiPath pour cette NGO nous présentera la variété des automatisations mis en oeuvre au fil des années : de la gestion des donations au support des équipes sur les terrains d'opération.
Au délà des cas d'usage, cette session sera aussi l'opportunité de découvrir comment cette organisation a déployé UiPath Automation Suite et Document Understanding.
Cette session a été diffusée en direct le 7 mai 2025 à 13h00 (CET).
Découvrez toutes nos sessions passées et à venir de la communauté UiPath à l’adresse suivante : https://community.uipath.com/geneva/.
Webinar - Top 5 Backup Mistakes MSPs and Businesses Make .pptxMSP360
Data loss can be devastating — especially when you discover it while trying to recover. All too often, it happens due to mistakes in your backup strategy. Whether you work for an MSP or within an organization, your company is susceptible to common backup mistakes that leave data vulnerable, productivity in question, and compliance at risk.
Join 4-time Microsoft MVP Nick Cavalancia as he breaks down the top five backup mistakes businesses and MSPs make—and, more importantly, explains how to prevent them.
Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache C...Markus Eisele
We keep hearing that “integration” is old news, with modern architectures and platforms promising frictionless connectivity. So, is enterprise integration really dead? Not exactly! In this session, we’ll talk about how AI-infused applications and tool-calling agents are redefining the concept of integration, especially when combined with the power of Apache Camel.
We will discuss the the role of enterprise integration in an era where Large Language Models (LLMs) and agent-driven automation can interpret business needs, handle routing, and invoke Camel endpoints with minimal developer intervention. You will see how these AI-enabled systems help weave business data, applications, and services together giving us flexibility and freeing us from hardcoding boilerplate of integration flows.
You’ll walk away with:
An updated perspective on the future of “integration” in a world driven by AI, LLMs, and intelligent agents.
Real-world examples of how tool-calling functionality can transform Camel routes into dynamic, adaptive workflows.
Code examples how to merge AI capabilities with Apache Camel to deliver flexible, event-driven architectures at scale.
Roadmap strategies for integrating LLM-powered agents into your enterprise, orchestrating services that previously demanded complex, rigid solutions.
Join us to see why rumours of integration’s relevancy have been greatly exaggerated—and see first hand how Camel, powered by AI, is quietly reinventing how we connect the enterprise.
The cost benefit of implementing a Dell AI Factory solution versus AWS and Azure
Our research shows that hosting GenAI workloads on premises, either in a traditional Dell solution or using managed Dell APEX Subscriptions, could significantly lower your GenAI costs over 4 years compared to hosting these workloads in the cloud. In fact, we found that a Dell AI Factory on-premises solution could reduce costs by at much as 71 percent vs. a comparable AWS SageMaker solution and as much as 61 percent vs. a comparable Azure ML solution. These results show that organizations looking to implement GenAI and reap the business benefits to come can find many advantages in an on-premises Dell AI Factory solution, whether they opt to purchase and manage it themselves or engage with Dell APEX Subscriptions. Choosing an on-premises Dell AI Factory solution could save your organization significantly over hosting GenAI in the cloud, while giving you control over the security and privacy of your data as well as any updates and changes to the environment, and while ensuring your environment is managed consistently.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
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Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a refactoring tool that automatically determines when it is safe and potentially advantageous to migrate imperative DL code to graph execution and vice-versa.
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the “best of both worlds,” using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a refactoring tool that automatically determines when it is safe and potentially advantageous to migrate imperative DL code to graph execution and vice-versa.
2. Agenda
Functional Logging - Need
Logging- General Overview
Spring Boot Logging
Start Functional Logging
Conclusion
References
Thanks
3. Functional Logging - Need
• What I am calling functional logging is segregation of application logs based on
component functionality and not based on individual class names
• E.g. If an application can be functionally divided into two components – lets say
Indexer and Searcher then all classes that belong to Indexer should write to one log
file and all classes that belong to searcher should write to another log file
• Another example could be a system having multiple REST End points – you log based
on REST URLs and not for specific implementation classes i.e. service1 logs are
located on file1 , service2 on file2 and so on
• This simplifies production support and debugging to a great deal and makes product
easily supportable
• All classes writing to one single file and intermingling of all logs in one file is the worst
form of logging that I saw as far as production support and debugging is concerned
4. Functional Logging - Need
• So all in all, you are logging for a functional flow and not for individual classes and you
are not logging to a single file but scattered over multiple files
• E.g. If I have to check an Indexer issue, You will check only Indexer logs which will be
according to Indexer functional flow
• So a group of classes belonging to a particular application function flow will write to
one file and second flow will write to second and so on
• Application flow segregation should be accurate and should not be too refined or too
bulky – there has to be a balance
• Log files for an application flow will rotate as per configured log size
• Developers will have to just stop using class name as logger entity and start using a
provided logger name as logged entity for a group of classes
5. Logging- General Overview
• Logging in Java has been made over complicated due to over engineering
• Complications arose because there were many logging implementations coming out
• Architects and Developers were willing to try various logging APIs for various features
and performance reasons but wanted their code to be neutral to logging API change
• So there comes first level logging façade design pattern like – SLF4j (Simple Logging
Facade for Java ). I call it LEVEL-1 of abstraction with actual implementation being
LEVEL-0
• LEVEL – 0 i.e. actual implementations generally are – java.util.logging , logback and
log4j
• There are LEVEL-2 frameworks too i.e. FAÇADE of FAÇADE and I usually find them
not very useful
6. Logging- General Overview
• Most of applications will do just fine even with LEVEL - 0 but its better to be on
LEVEL-1 so you can change your LEVEL- 0s whenever you want if something better
comes in market
• In this presentation, I will be using SLF4j as FAÇADE and logback as implementation
• SLF4j is not an implementation of logging, its simply a façade for actual logging
implementations to simplify logging subsystems
• Another popular FAÇADE is Apache Commons Logging API
7. Spring Boot Logging
• Spring Boot starter POM for Web – App ( i.e. spring-boot-starter-web) already
includes spring-boot-starter-logging as dependency so you wouldn’t need any extra
dependency
• Spring Boot has a LoggingSystem abstraction that attempts to configure logging
based on contents fo classpath, giving first preference to Logback
• So for your spring-boot-starter-web application, you will get – logback-classic-*.jar,
logback-core-*.jar , jul-to-slf4j-*.jar , log4j-over-slf4j-*.jar , jcl-over-slf4j-*.jar, slf4j-api-
*.jar etc in your application
• Further Logging Levels etc can be configured using application.properties file by using
, properties like - logging.level….= ,
8. Start Functional Logging
• First, in your application – create a xml files, lets say logging.xml which will more or less look like
below and put it under src/main/resources
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<include resource="org/springframework/boot/logging/logback/base.xml" />
<property name="LOG_PATH" value="/var/logs" />
<appender name="Console-Appender" class="ch.qos.logback.core.ConsoleAppender">
<layout>
<pattern>%date %level [%thread] %logger{10} [%file:%line] %msg%n
</pattern>
</layout>
</appender>
10. Start Functional Logging…Contd
<logger name="Function1Logger" level="debug" additivity="false">
<appender-ref ref=" Function1Logs " />
</logger>
<root> <appender-ref ref="Console-Appender" /> </root>
</configuration>
-
The important thing to note in above XML is definition of logger name -
Function1Logger and that referring to - Function1Logs appender that has actual
appender configuration
11. Start Functional Logging…Contd
- Spring Boot will automatically read your XML but if not , you can say in
application.properties that - logging.config=classpath:logging.xml
- Now at Java code level, class - org.slf4j.LoggerFactory has two getLogger(…)
methods,
public static Logger getLogger(String name) & public static Logger
getLogger(Class<?> clazz)
It’s the first version - getLogger(String name) string that helps in achieving functional
logging.
12. Start Functional Logging…Contd
- In your Java class, you should do ,
private static final Logger logger = LoggerFactory.getLogger(“Function1Logger”);
Instead of the one with class name.
- Now at all classes, that form one flow of application function, you should use above
logger name to get Logger and use that for your logging.
- Group your application classes in appropriate number flows and add entries on
logging.xml for all such loggers and use those logger names in getting Logger
instances in your Java classes
13. Conclusion
- This way your logs will not be HOTCH – POTCH in one big log file or log files for
each class without connecting the classes functionally
- Developer has to still make an effort to know which logger his current class belongs
to
- So for your application, with lets say 100 classes will have like 4 -5 functionally
independent logs. Without specific logger names for each function, you either have
one log file for each class or one file for all the classes
- In non – Spring Boot Systems, you will have to just make arrangement to load that
XML file to memory in some way and add explicit dependencies manually
#2: NOTE:
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