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OSN-Blazingly Fast GenAI App Development With Java and Spring AI
Blazingly Fast GenAI App Development using Spring AIJuarez Junior
41 slides•14 views
Spring AI is a project aiming to simplify the development of applications that integrate artificial intelligence (AI) functionalities.
It focuses on the core belief that the next wave of Generative AI applications will be ubiquitous across many programming languages, including Java.
So, it achieves this by providing abstractions and interfaces that manage the complexity of AI models.
This talk provides an excellent introduction to Spring AI, its use, and the typical use cases it can address.
The demos comprise Java code samples with Spring AI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
The Trinity in GenAI - Spring AI, LangChain4J and OpenAIJuarez Junior
37 slides•21 views
LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
Generative AI applications, allowing developers to connect various building blocks easily to create powerful AI applications.
Spring AI aims to apply Spring ecosystem design principles such as portability and modular design to the AI domain.
It encapsulates many of the complexities required to interact with several different GenAI providers, such as OpenAI.
The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
7 Micro-Metrics That Predict Production Outages in Performance Labs WebinarTier1 app
37 slides•60 views
Traditional performance testing focuses on macro metrics like response times, CPU usage, and memory consumption. However, these high-level indicators often fail to detect subtle performance degradations that later lead to production outages.
In this webinar, we explored 7 critical micro-metrics that provide early warning signs of performance issues before they impact production. By analyzing key indicators such as GC behavior, object creation rate, thread patterns, and TCP/IP connection states, teams can uncover hidden inefficiencies and prevent costly downtime.
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Blazingly Fast GenAI App Development using Spring AIJuarez Junior
41 slides•14 views
Spring AI is a project aiming to simplify the development of applications that integrate artificial intelligence (AI) functionalities.
It focuses on the core belief that the next wave of Generative AI applications will be ubiquitous across many programming languages, including Java.
So, it achieves this by providing abstractions and interfaces that manage the complexity of AI models.
This talk provides an excellent introduction to Spring AI, its use, and the typical use cases it can address.
The demos comprise Java code samples with Spring AI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
The Trinity in GenAI - Spring AI, LangChain4J and OpenAIJuarez Junior
37 slides•21 views
LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
Generative AI applications, allowing developers to connect various building blocks easily to create powerful AI applications.
Spring AI aims to apply Spring ecosystem design principles such as portability and modular design to the AI domain.
It encapsulates many of the complexities required to interact with several different GenAI providers, such as OpenAI.
The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
7 Micro-Metrics That Predict Production Outages in Performance Labs WebinarTier1 app
37 slides•60 views
Traditional performance testing focuses on macro metrics like response times, CPU usage, and memory consumption. However, these high-level indicators often fail to detect subtle performance degradations that later lead to production outages.
In this webinar, we explored 7 critical micro-metrics that provide early warning signs of performance issues before they impact production. By analyzing key indicators such as GC behavior, object creation rate, thread patterns, and TCP/IP connection states, teams can uncover hidden inefficiencies and prevent costly downtime.
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Wondershare Repairit is professional software, AI-powered data repair expert efficiently fixes damaged videos, photos, files, audio, and emails, regardless of the corruption level. It helps you repair videos and photos on Windows and Mac in 3 steps and minutes. The program supports various video corruption scenarios like truncated, frozen and blurry videos, etc.
Bug Life Cycle in Software Testing: Understanding the Journey from Detection ...Shubham Joshi
14 slides•18 views
n software development, identifying and resolving defects is a structured process known as the Bug Life Cycle. This cycle begins when a tester detects an issue and logs it into a bug tracking system. The bug then progresses through stages such as validation, assignment, fixing, retesting, and closure. Effective bug tracking ensures that defects are properly documented, prioritized, and resolved to maintain software quality. By following best practices like clear reporting, proper categorization, and regular communication between teams, organizations can streamline their defect management process and improve product stability.
Examples of (bad) consequences of a lack of software quality and some solutions. This presentation presents some examples of (bad) consequences of a lack of software quality, in particular how poor software quality led to the direct deaths of 89 people. It then provides some background on software quality, especially the concept of Quality Without a Name. It then discusses many principles, their usefulness, and their positive consequences on software quality. Some of these principles are well-known in object-oriented programming while many others are taken from the book 97 Programmers. They include: abstraction, encapsulation, inheritance, types, polymorphism, SOLID, GRASP, YAGNI, KISS, DRY, Do Not Reinvent the Wheel, Law of Demeter, Beware of Assumptions, Deletable Code, coding with reason, and functional programming. They pertain to dependencies, domains, and tools. Concrete application on a real-world software systems, with examples and discussions.
(In details: Beautify is Simplicity, The Boy Scout Rule, You Gotta Care About the Code, The Longevity of Interim Solutions, Beware the Share, Encapsulate Behaviour not Just State, Single Responsibility Principle, WET Dilutes Performance Bottlenecks, Convenience Is Not an -ility, Code in the Language of the Domain, Comment Only What the Code Cannot Say, Distinguish Business Exception from Technical, Prefer Domain-specific Types to Primitive Types, Automate Your Coding Standards, Code Layout Matters, Before You Refactor, Improve Code by Removing It, Put the Mouse Down and Step Away from the Keyboard)
DevOpsDays LA - Platform Engineers are Product Managers.pdfJustin Reock
40 slides•123 views
Platform engineering is the foundation of modern software development, equipping teams with the tools and workflows they need to move faster. However, to truly drive impact, platform engineers must think like product managers—leveraging productivity metrics to guide decisions, prioritize investments, and measure success. By applying a data-driven approach, platform teams can optimize developer experience, streamline workflows, and demonstrate tangible ROI on platform initiatives.
In this 15-minute session, Justin Reock, Deputy CTO at DX (getdx.com), will explore how platform engineers can use key developer productivity metrics—such as cycle time, deployment frequency, and developer satisfaction—to manage their platform as an internal product. By treating the platform with the same rigor as an external product launch, teams can accelerate adoption, improve efficiency, and create a frictionless developer experience.
Join us to learn how adopting a metrics-driven, product management mindset can transform your platform engineering efforts into a strategic, high-impact function that unlocks engineering velocity and business success.
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Code or No-Code Tests: Why Top Teams Choose BothApplitools
13 slides•19 views
Explore practical strategies to unify your teams and achieve high-quality products. Session recording and more info at https://applitools.info/no2
Eric Terry, Senior Director of Quality Control at EVERSANA, shares real-world insights on how his teams leverage code and no-code tools to streamline test automation, bridge skill gaps, and integrate manual and automated workflows seamlessly.
You'll learn how a whole-team approach to testing can:
• Increase test coverage without requiring everyone to code
• Accelerate test cycles and reduce maintenance efforts
• Improve collaboration between manual testers, automation engineers, and leadership
• Align testing priorities across user experience, system performance, and business goals
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2 slides•21 views
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ESET Internet Security is a comprehensive cybersecurity solution designed to protect users from a wide range of online threats. With a strong focus on both real-time protection and user privacy, it offers multiple layers of security, including antivirus, anti-malware, anti-phishing, and firewall protection. ESET Internet Security is known for its lightweight design, ensuring that it runs efficiently without slowing down your system.
One of its standout features is the advanced anti-theft functionality, which can help track and recover your device if it’s lost or stolen. It also includes tools for secure online banking and shopping, helping to protect sensitive transactions from malicious actors. The software offers webcam and microphone protection to prevent unauthorized access to your devices, as well as parental controls to keep children safe while browsing the web.
Additionally, ESET Internet Security includes robust anti-spam and anti-botnet protection, as well as a secure DNS feature to safeguard against phishing attempts. Whether you're a home user or managing multiple devices in a small business, ESET Internet Security provides a well-rounded defense against a variety of digital threats, ensuring peace of mind while you’re online.
Why Every Cables and Wires Manufacturer Needs a Cloud-Based ERP SolutionsAbsolute ERP
2 slides•23 views
Investing in the right direction with Enterprise Resource Planning Software helps
businesses build a strong base. In this direction, cloud-enabled ERP solutions have become the
call of every manufacturing industry including the cables and wires industry.
Rise of the Phoenix: Lesson Learned Build an AI-powered Test Gen Enginestevebrudz1
24 slides•23 views
In this talk, I give an overview and demo of Phoenix, an AI-powered test generation engine for Ruby on Rails applications, and share lessons learned while building it. I presented this at the Artificial Ruby Meet Up in NYC on March 4, 2025.
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Projects Panama, Valhalla, and Babylon: Java is the New Python v0.9Yann-Gaël Guéhéneuc
172 slides•161 views
Java has had a tremendous success and, in the last few years, has evolved quite significantly. However, it was still difficult to interface with libraries written in other programming language because of some complexity with JNI and some syntactic and semantic barriers. New projects to improve Java could help alleviate, even nullify, these barriers. Projects Panama, Valhalla, and Babylon exist to make it easier to use different programming and memory models in Java and to interface with foreign programming languages. This presentation describes the problem with the Java “isthmus” and the three projects in details, with real code examples. It shows how, combined, these three projects could make of Java the new Python.
AI/ML Infra Meetup | How Uber Optimizes LLM Training and FinetuneAlluxio, Inc.
17 slides•54 views
AI/ML Infra Meetup
Mar. 06, 2025
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Chongxiao Cao (Senior SWE @ Uber)
Chongxiao Cao from Uber's Michelangelo training team shared valuable insights into Uber's approach to optimizing LLM training and fine-tuning workflows.
Discover how Agentic AI is transforming intelligent automation with goal-driven behavior, adaptive learning, and multi-agent collaboration. Learn its key features, benefits, and real-world applications driving innovation and efficiency.
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27 slides•201 views
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