Inside mbga Open Platform API architecture

Mar 23, 20103 likes1,630 views

The document describes a load balancer distributing requests across multiple lighttpd web servers running fastcgi applications. It also shows databases for user profiles and messages with memcached caching. Messages are enqueued into a message queue processed by worker processes and inserted into a replicated message database with a slave for high availability. Cached messages from previous lookups are stored in memcached for improved performance.

Inside mbga Open Platform API architecture

Load Balancer

Round Robin

lighttpd lighttpd lighttpd

web server web server web server

fastcgi fastcgi fastcgi

app_install
friend db people db
db

1. viewer
friend 2. friend

memcached
3. 2.
LIMIT, OFFSET
( )

replication
message db message db
(master) (slave)

1. enqueue
3. insert
message 6. select
(Q4M)
message
cache memcached
2. queue_wait() (Q4M)
4. enqueue
5. queue_wait()
7. set cache
message cache
message worker
worker

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Agentic AI Explained: The Next Frontier of Autonomous Intelligence & Generative AI Discover Agentic AI, the revolutionary step beyond reactive generative AI. Learn how these autonomous systems can reason, plan, execute, and adapt to achieve human-defined goals, acting as digital co-workers. Explore its promise, key frameworks like LangChain and AutoGen, and the challenges in designing reliable and safe AI agents for future workflows. Sticky Note Bullets: Definition: Next stage beyond ChatGPT-like systems, offering true autonomy. Core Function: Can "reason, plan, execute and adapt" independently. Distinction: Proactive (sets own actions for goals) vs. Reactive (responds to prompts). Promise: Acts as "digital co-workers," handling grunt work like research, drafting, bug fixing. Industry Outlook: Seen as a game-changer; Deloitte predicts 50% of companies using GenAI will have agentic AI pilots by 2027. Key Frameworks: LangChain, Microsoft's AutoGen, LangGraph, CrewAI. Development Focus: Learning to think in workflows and goals, not just model outputs. Challenges: Ensuring reliability, safety; agents can still hallucinate or go astray. Best Practices: Start small, iterate, add memory, keep humans in the loop for final decisions. Use Cases: Limited only by imagination (e.g., drafting business plans, complex simulations).

ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld

Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.

Gihbli AI and Geo sitution |use/misuse of Ai Technologyzainkhurram1111

Cyber security cyber security cyber security cyber security cyber security cy...pranavbodhak

Data Virtualization: Bringing the Power of FME to Any ApplicationSafe Software

Imagine building web applications or dashboards on top of all your systems. With FME’s new Data Virtualization feature, you can deliver the full CRUD (create, read, update, and delete) capabilities on top of all your data that exploit the full power of FME’s all data, any AI capabilities. Data Virtualization enables you to build OpenAPI compliant API endpoints using FME Form’s no-code development platform. In this webinar, you’ll see how easy it is to turn complex data into real-time, usable REST API based services. We’ll walk through a real example of building a map-based app using FME’s Data Virtualization, and show you how to get started in your own environment – no dev team required. What you’ll take away: -How to build live applications and dashboards with federated data -Ways to control what’s exposed: filter, transform, and secure responses -How to scale access with caching, asynchronous web call support, with API endpoint level security. -Where this fits in your stack: from web apps, to AI, to automation Whether you’re building internal tools, public portals, or powering automation – this webinar is your starting point to real-time data delivery.

Dr Jimmy Schwarzkopf presentation on the SUMMIT 2025 ADr. Jimmy Schwarzkopf

Introduction and Background: Study Overview and Methodology: The study analyzes the IT market in Israel, covering over 160 markets and 760 companies/products/services. It includes vendor rankings, IT budgets, and trends from 2025-2029. Vendors participate in detailed briefings and surveys. Vendor Listings: The presentation lists numerous vendors across various pages, detailing their names and services. These vendors are ranked based on their participation and market presence. Market Insights and Trends: Key insights include IT market forecasts, economic factors affecting IT budgets, and the impact of AI on enterprise IT. The study highlights the importance of AI integration and the concept of creative destruction. Agentic AI and Future Predictions: Agentic AI is expected to transform human-agent collaboration, with AI systems understanding context and orchestrating complex processes. Future predictions include AI's role in shopping and enterprise IT.

Microsoft Build 2025 takeaways in one presentationDigitalmara

Microsoft Build 2025 introduced significant updates. Everything revolves around AI. DigitalMara analyzed these announcements: • AI enhancements for Windows 11 By embedding AI capabilities directly into the OS, Microsoft is lowering the barrier for users to benefit from intelligent automation without requiring third-party tools. It's a practical step toward improving user experience, such as streamlining workflows and enhancing productivity. However, attention should be paid to data privacy, user control, and transparency of AI behavior. The implementation policy should be clear and ethical. • GitHub Copilot coding agent The introduction of coding agents is a meaningful step in everyday AI assistance. However, it still brings challenges. Some people compare agents with junior developers. They noted that while the agent can handle certain tasks, it often requires supervision and can introduce new issues. This innovation holds both potential and limitations. Balancing automation with human oversight is crucial to ensure quality and reliability. • Introduction of Natural Language Web NLWeb is a significant step toward a more natural and intuitive web experience. It can help users access content more easily and reduce reliance on traditional navigation. The open-source foundation provides developers with the flexibility to implement AI-driven interactions without rebuilding their existing platforms. NLWeb is a promising level of web interaction that complements, rather than replaces, well-designed UI. • Introduction of Model Context Protocol MCP provides a standardized method for connecting AI models with diverse tools and data sources. This approach simplifies the development of AI-driven applications, enhancing efficiency and scalability. Its open-source nature encourages broader adoption and collaboration within the developer community. Nevertheless, MCP can face challenges in compatibility across vendors and security in context sharing. Clear guidelines are crucial. • Windows Subsystem for Linux is open-sourced It's a positive step toward greater transparency and collaboration in the developer ecosystem. The community can now contribute to its evolution, helping identify issues and expand functionality faster. However, open-source software in a core system also introduces concerns around security, code quality management, and long-term maintenance. Microsoft’s continued involvement will be key to ensuring WSL remains stable and secure. • Azure AI Foundry platform hosts Grok 3 AI models Adding new models is a valuable expansion of AI development resources available at Azure. This provides developers with more flexibility in choosing language models that suit a range of application sizes and needs. Hosting on Azure makes access and integration easier when using Microsoft infrastructure.

UiPath Community Zurich: Release Management and Build PipelinesUiPathCommunity

Ensuring robust, reliable, and repeatable delivery processes is more critical than ever - it's a success factor for your automations and for automation programmes as a whole. In this session, we’ll dive into modern best practices for release management and explore how tools like the UiPathCLI can streamline your CI/CD pipelines. Whether you’re just starting with automation or scaling enterprise-grade deployments, our event promises to deliver helpful insights to you. This topic is relevant for both on-premise and cloud users - as well as for automation developers and software testers alike. 📕 Agenda: - Best Practices for Release Management - What it is and why it matters - UiPath Build Pipelines Deep Dive - Exploring CI/CD workflows, the UiPathCLI and showcasing scenarios for both on-premise and cloud - Discussion, Q&A 👨‍🏫 Speakers Roman Tobler, CEO@ Routinuum Johans Brink, CTO@ MvR Digital Workforce We look forward to bringing best practices and showcasing build pipelines to you - and to having interesting discussions on this important topic! If you have any questions or inputs prior to the event, don't hesitate to reach out to us. This event streamed live on May 27, 16:00 pm CET. Check out all our upcoming UiPath Community sessions at: 👉 https://community.uipath.com/events/ Join UiPath Community Zurich chapter: 👉 https://community.uipath.com/zurich/

Co-Constructing Explanations for AI Systems using ProvenancePaul Groth

Explanation is not a one off - it's a process where people and systems work together to gain understanding. This idea of co-constructing explanations or explanation by exploration is powerful way to frame the problem of explanation. In this talk, I discuss our first experiments with this approach for explaining complex AI systems by using provenance. Importantly, I discuss the difficulty of evaluation and discuss some of our first approaches to evaluating these systems at scale. Finally, I touch on the importance of explanation to the comprehensive evaluation of AI systems.

STKI Israel Market Study 2025 final v1 versionDr. Jimmy Schwarzkopf

Securiport - A Border Security CompanySecuriport

6th Power Grid Model Meetup - 21 May 2025DanBrown980551

6th Power Grid Model Meetup Join the Power Grid Model community for an exciting day of sharing experiences, learning from each other, planning, and collaborating. This hybrid in-person/online event will include a full day agenda, with the opportunity to socialize afterwards for in-person attendees. If you have a hackathon proposal, tell us when you register! About Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.

Contributing to WordPress With & Without Code.pptxPatrick Lumumba

Contributing to WordPress: Making an Impact on the Test Team—With or Without Coding Skills WordPress survives on collaboration, and the Test Team plays a very important role in ensuring the CMS is stable, user-friendly, and accessible to everyone. This talk aims to deconstruct the myth that one has to be a developer to contribute to WordPress. In this session, I will share with the audience how to get involved with the WordPress Team, whether a coder or not. We’ll explore practical ways to contribute, from testing new features, and patches, to reporting bugs. By the end of this talk, the audience will have the tools and confidence to make a meaningful impact on WordPress—no matter the skill set.

Jeremy Millul - A Talented Software DeveloperJeremy Millul

Jeremy Millul is a talented software developer based in NYC, known for leading impactful projects such as a Community Engagement Platform and a Hiking Trail Finder. Using React, MongoDB, and geolocation tools, Jeremy delivers intuitive applications that foster engagement and usability. A graduate of NYU’s Computer Science program, he brings creativity and technical expertise to every project, ensuring seamless user experiences and meaningful results in software development.