Performant applications in Plone
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The document discusses using persistent.Persistent objects from the ZODB instead of Plone content types to build applications in Plone when performance and scaling are concerns. It provides an example of reimplementing a content type storing data in tables as persistent objects stored in BTrees, which resulted in updates being over 10 times faster. While losing integration with some Plone features, this approach allowed non-Plone developers to work on the application and achieved much better performance scaling to thousands of data items.
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Looking backwards, this talk will show how UX has repeatedly failed to create a better world, drawing on industry data from Nielsen Norman Group, Baymard, MeasuringU, WebAIM, and others.
Looking forwards, this talk will argue that UX must resist hype, say no more often and collaborate less often (you read that right), and become a true profession ¡ª in order to be able to design a better world.
Unlocking DevOps Secuirty :Vault & Keylock
Unlocking DevOps Secuirty :Vault & KeylockHusseinMalikMammadli
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DevOps i? t?hl¨¹k?sizliyi sizi maraqland?r?r? ?st?r developer, ist?r t?hl¨¹k?sizlik m¨¹h?ndisi, ist?rs? d? DevOps h?v?skar? olun, bu t?dbir ??b?k?l??m?k, bilikl?rinizi b?l¨¹?m?k v? DevSecOps sah?sind? ?n son t?cr¨¹b?l?ri ?yr?nm?k ¨¹?¨¹n m¨¹k?mm?l f¨¹rs?tdir!
Bu workshopda DevOps infrastrukturlar?n?n t?hl¨¹k?sizliyini nec? art?rmaq bar?d? dan??acay?q. DevOps sisteml?ri qurulark?n avtomatla?d?r?lm??, y¨¹ks?k ?l?atan v? etibarl? olmas? il? yana??, h?m d? t?hl¨¹k?sizlik m?s?l?l?ri n?z?r? al?nmal?d?r. Bu s?b?bd?n, DevOps komandolar?n?n t?hl¨¹k?sizliy? y?n?lmi? praktikalara riay?t etm?si vacibdir.DAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (ƽɽÒã)
DAO UTokyo 2025 DLT mass adoption case studies IBM Tsuyoshi Hirayama (ƽɽÒã)Tsuyoshi Hirayama
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DAO UTokyo 2025
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https://utbciii.com/2024/12/12/announcing-dao-utokyo-2025-conference/
Session 1 :DLT mass adoption
IBM Tsuyoshi Hirayama (ƽɽÒã)SMART SENTRY CYBER THREAT INTELLIGENCE IN IIOT
SMART SENTRY CYBER THREAT INTELLIGENCE IN IIOTTanmaiArni
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SMART SENTRY CYBER THREAT INTELLIGENCE IN IIOTThe Future of Repair: Transparent and Incremental by Botond De?nes
The Future of Repair: Transparent and Incremental by Botond De?nesScyllaDB
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Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.UiPath Document Understanding - Generative AI and Active learning capabilities
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
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This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates. L01 Introduction to Nanoindentation - What is hardness
L01 Introduction to Nanoindentation - What is hardnessRostislavDaniel
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Introduction to NanoindentationFuture-Proof Your Career with AI Options
Future-Proof Your Career with AI OptionsDianaGray10
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Learn about the difference between automation, AI and agentic and ways you can harness these to further your career. In this session you will learn:
Introduction to automation, AI, agentic
Trends in the marketplace
Take advantage of UiPath training and certification
In demand skills needed to strategically position yourself to stay ahead
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.UiPath Automation Developer Associate Training Series 2025 - Session 2
UiPath Automation Developer Associate Training Series 2025 - Session 2DianaGray10
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In session 2, we will introduce you to Data manipulation in UiPath Studio.
Topics covered:
Data Manipulation
What is Data Manipulation
Strings
Lists
Dictionaries
RegEx Builder
Date and Time
Required Self-Paced Learning for this session:
Data Manipulation with Strings in UiPath Studio (v2022.10) 2 modules - 1h 30m - https://academy.uipath.com/courses/data-manipulation-with-strings-in-studio
Data Manipulation with Lists and Dictionaries in UiPath Studio (v2022.10) 2 modules - 1h - https:/academy.uipath.com/courses/data-manipulation-with-lists-and-dictionaries-in-studio
Data Manipulation with Data Tables in UiPath Studio (v2022.10) 2 modules - 1h 30m - https:/academy.uipath.com/courses/data-manipulation-with-data-tables-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible. A Framework for Model-Driven Digital Twin Engineering
A Framework for Model-Driven Digital Twin EngineeringDaniel Lehner
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ºÝºÝߣs from my PhD Defense at Johannes Kepler University, held on Janurary 10, 2025.
The full thesis is available here: https://epub.jku.at/urn/urn:nbn:at:at-ubl:1-83896Technology use over time and its impact on consumers and businesses.pptx
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
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In this presentation, I explore how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.FinTech - US Annual Funding Report - 2024.pptx
FinTech - US Annual Funding Report - 2024.pptxTracxn
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US FinTech 2024, offering a comprehensive analysis of key trends, funding activities, and top-performing sectors that shaped the FinTech ecosystem in the US 2024. The report delivers detailed data and insights into the region's funding landscape and other developments. We believe this report will provide you with valuable insights to understand the evolving market dynamics.BoxLang JVM Language : The Future is Dynamic
BoxLang JVM Language : The Future is DynamicOrtus Solutions, Corp
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Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
Computational Photography: How Technology is Changing Way We Capture the World
Computational Photography: How Technology is Changing Way We Capture the WorldHusseinMalikMammadli
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? Computational Photography (Computer Vision/Image): How Technology is Changing the Way We Capture the World
He? d¨¹?¨¹nm¨¹s¨¹n¨¹zm¨¹, m¨¹asir smartfonlar v? kameralar nec? bu q?d?r g?z?l g?r¨¹nt¨¹l?r yarad?r? Bunun sirri Computational Fotoqrafiyas?nda(Computer Vision/Imaging) gizlidir¡ª??kill?ri ??km? v? emal etm? ¨¹sulumuzu t?kmill??dir?n, komp¨¹ter elmi il? fotoqrafiyan?n inqilabi birl??m?si.How Discord Indexes Trillions of Messages: Scaling Search Infrastructure by V...
How Discord Indexes Trillions of Messages: Scaling Search Infrastructure by V...ScyllaDB
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This talk shares how Discord scaled their message search infrastructure using Rust, Kubernetes, and a multi-cluster Elasticsearch architecture to achieve better performance, operability, and reliability, while also enabling new search features for Discord users.UiPath Agentic Automation Capabilities and Opportunities
UiPath Agentic Automation Capabilities and OpportunitiesDianaGray10
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Learn what UiPath Agentic Automation capabilities are and how you can empower your agents with dynamic decision making. In this session we will cover these topics:
What do we mean by Agents
Components of Agents
Agentic Automation capabilities
What Agentic automation delivers and AI Tools
Identifying Agent opportunities
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar Patturaj
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
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Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.Performant applications in Plone
- 1. PERFORMANT APPLICATIONS IN PLONE David B?tr?nu Eau de Web
- 2. CURRENT MINDSET ? Structure the application using content types. ? Hope it doesn¡¯t need to scale.
- 3. BENEFITS ? You get a lot of stuff for free. ? Full integration with Plone.
- 4. DRAWBACKS ? You get too much stuff! Whether you want it or not! ? Slooooow!
- 5. SIMPLE EXAMPLE A table!! ? Table(Container) - application instance ? TableRow(Item) - application data ? Catalog for sorting and filtering
- 8. ? Most lightweight way to store something in the ZODB ? Extremely fast!
- 9. SIMPLE EXAMPLE Same presentation table ? Table(Container) - application instance ? rows = OOBTree() ? TableRow(Persistent) - application data ? sort and filter for sorting and filtering
- 11. ACTUAL USE ? DX item containing a few fields, used as data in a table. ? Requirements grew from tens of items to hundreds. ? Managed in bulk through a custom upload view. ? ~1s / item update; ~10m for an average update. ? Actually thought about using async jobs!!!
- 12. REIMPLEMENTATION ? New class extending Persistent ? Fields as attributes ? Stored in BTrees ? <1s to update 10000 items!!
- 13. BENEFITS ? MUCH faster!! ? Reduced stack complexity - no more async. ? Reduced resource usage - no more wasted time. ? Easier to test. ? Non-Plone people can work on it!
- 14. DRAWBACKS ? No OOB permission checks - have to make sure that returned data should be accessible to the current user. ? No content management - have to implement add/edit/delete forms. ? No workflows, versioning, content rules, etc.. ? Basically, not a content type!
- 15. AND THAT¡¯S A GOOD THING ? Not all applications should follow this pattern. ? In this case, the requirements were better served this way.
- 16. Thank you!