A (very brief) into to Functional Programming
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A blazing fast intro to the overall field of functional programming. More of a jumping-off point than a tutorial ;)
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
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A (very brief) into to Functional Programming
- 2. WHY FP? • More structured (like goto vs OO) • Clear & concise • Performance, parallelism, concurrency • Reusable, generics • Expand your horizons! • Become a more flexible programmer • Have fun
- 3. WHAT IS FUNCTIONAL PROGRAMMING • Family of languages • Not one monolithic thing • Collection of attributes & (very) general style
- 4. TWO SOLUTIONSTOTHE SAME ENTSCHEIDUNGSPROBLEM AlanTuring Alonzo Church Imperative (Instructions) Functional (everything is a function) Global State (“memory”) Stateless (like REST) Mechanistic (Turing Machine) Mathematical (Lambda Calculus)
- 5. CONSTELLATION OF ATTRIBUTES • Immutability • Recursion • Stateless / explicit state • Higher-order functions • Data types • Type safety • Don’t need all of these! • Some languages enforce these more than others • Can do some FP in traditionally “imperative” languages, too • Java, Ruby, JavaScript, and so on • Lazy evaluation • Composition • Referential transparency • Currying & partial function application • Reusability • Pattern matching
- 6. APPROACH • Imperative style describes how to do things • Functional style is often declarative • describes what things are • …plus data and transformations between them • Sometimes called “data oriented”
- 8. RELATIONSHIP WITH OBJECT-ORIENTATION Objective-ness Functional-ness Ruby JavaScript Haskell OCaml Erlang Swift C Common LISP Assembly Clojure
- 9. IMMUTABILITY, PURITY & RECURSION • Advantages • Get parallelization “for free” because no shared state • No deadlocks or strange state infection bugs • Compact and/or “does the work for you” • Disadvantages • Recursion can be mind bending at first • Recursion may have time or memory space costs
- 10. IMMUTABILITY MAKES SENSE What you type What the compiler says x = 42 Okay,“x” means 42 x Hmmm… 42! x = 99 What are you? Some kind of liar? “x” means 42, obviously! x Hmmm… still 42!
- 11. MAPPING, FILTERS, FOLDING & ACCUMULATION • Much simpler to reason about & cleaner syntax • Often has a performance advantage # Ruby Fold Example: sum numbers range = (0..99_999_999) ## Imperative/procedural total = 0 i = 0 while i < range.count do total += range[i] i += 1 end total ## Functional range.reduce(:+) • Don’t need to calculate the length of the array • Don’t rely on a throwaway variable ## Roughly def reduce_add(array) return 0 if array == [] array[0] + reduce_add(array[1..-1]) end
- 12. LIST COMPREHENSIONS & CONSTRAINT PROGRAMMING -- Haskell List Comprehension [(x, y) | x <- [50..100], y <- [1..99], x `mod` 7 == 3, x `mod` y == 42] -- RESULT: [(87,45),(94,52)] -- Haskell List Comprehension: INFINITE EDITION [(x, y) | x <- [50..], y <- [1..99], x `mod` 7 == 3, x `mod` y == 42] -- RESULT: [(87,45),(94,52),(101,59),(108,66),(115,73),(122,80),(129,87), (136,47),(136,94),(150,54),(164,61),(171,43),(178,68),(192,50),(192,75), (206,82),(213,57),(220,89),(234,48),(234,64),(234,96),(255,71),(262,44), (262,55),(276,78),(290,62),(297,51),(297,85),(318,46),(318,69)… …and so on, FOREVER, and while working with the data stream
- 13. FURTHER, CRAZIER STUFF • Faster custom server • Serves ~2 million requests/second • Triggered a rare Linux flaw due to high throughput • Quantum computing • Massive truly parallel systems • Parallelism “for free” (more or less)
- 14. FURTHER READING • There is so much more! We’ve barely scratched the surface • Vancouver Functional Programmers • LearnYou a Haskell for Great Good • Clojure for the Brave andTrue • What I Wish I Knew Before Learning Haskell • Refactoring Ruby with Monads • The Underscore.js Source • Don’t Fear the Monad • Don’t be Afraid of Functional Programming (SmashingMag)