20170721 future of reactive architectures

•

4 likes•3,915 views

Some knowledge will be difficult to scale across an entire team. How do we build applications that are reactive while still delivering business value quickly?

Future of Reactive Architectures
Scala Up North, July 21, 2017

Director of Engineering
Uniﬁed Commerce Platform
Jamie Allen

Microservices Engineers
Senior Microservices Engineers
Principal Microservices Engineers
Technical Managers

It’s easy to lose sight of what companies
are really trying to accomplish
Vendor life

Nothing matters more to
stakeholders
Delivering business value quickly

Cannot be done unless you can
rapidly develop teams
Caveat

FP? Reactive?
Yes, use both, where they add value

Only one team had FP help
Our teams each learned differently

Painful making calls between services
Hand-stitched interactions

We’ve avoided that so far
Use Akka Cluster?

FP knowledge doesn’t scale
Critical fact

Critical fact
Neither does Akka knowledge

I need to deliver business value!
It doesn’t matter

Make it easier to quickly deliver business
value in a Reactive architecture
So what do we do?

Let the toolchain handle the majority of
resilience issues
Use Reactive principles where they’re most needed

Orchestration is as much about the
ecosystem as the capabilities
Kubernetes

Service mesh with additional telemetry
and security support
Istio

Absolutely not
Is Starbucks abandoning Scala and Akka?

What about data?
Turns out, we were wrong here too

CAP Theorem isn’t what we thought
Next generation storage

CAP Theorem isn’t what we thought
Next generation storage
Google: Calvin Fauna

Do we need to be Reactive everywhere?
Choose how to be reactive in delivering business value quickly

CloudKey provides dynamic optimization and decision automation for multi-cloud environments. It continuously analyzes workload consumption, costs, and compliance constraints to automatically allocate resources in real time. This optimizes workload performance by providing resources when needed. CloudKey can safely increase infrastructure utilization, eliminate performance issues without overprovisioning, accelerate projects, and optimize public cloud spend by consuming only what is needed. It enhances performance through automatic resource allocation and increases efficiency by boosting utilization and reducing costs while maintaining compliance. A CloudKey scoping takes 48 hours on average while a detailed analysis takes 14 days, and project costs are customized based on optimization goals.

Delivering Enterprise Apps from the Cloud Back to your Users

Amazon Web Services

As organisations start to move their enterprise applications into the cloud they are faced with the challenge of providing their users a secure, performant, flexible environment to consume these apps. We will talk to 2 customers in a panel format that had this challenge and how they overcome it. Speaker: Ian Curnow, Sales Lead -End User Computing, AWS, Gavin Walker, ICT Manager, NZ Department of Conservation & Matthew Head, R&D Director, Technology One

Workforce Productivity - Accenture Google Cloud Business Group

Accenture Technology

How to Get Unstuck

MuleSoft

Have you ever felt stuck in a place where you feel both safe and trapped? This describes many company’s feelings towards their legacy processes and systems. Old technology is strangling your business and trying to convince you that stability and security are more important than the ability to adapt and move quickly. In this session, Tom Keiser, Zendesk’s Chief Information Officer, will discuss how companies can re-architect their old systems to modern technology that supports their need for speed and adaptability.

Keynote - The AWS Opportunity

Amazon Web Services

AWS Summit 2013 | India - How Start-Ups Benefit from AWS, Rajas Karandikar

Amazon Web Services

Defining And Delivering A Robust It Strategy For A Professional Firm

David Watson

The document discusses defining and delivering a robust IT strategy for a professional firm. It addresses key aspects of an IT strategy including collaboration, productivity and increasing return on investment through applications, concepts and infrastructure. It also covers delivering the strategy through operational implementation, in-house vs outsourcing options, building support systems, engaging users, publishing metrics and training IT staff.

10 Common Cloud Computing Myths

AccessPay

This document discusses how attitudes towards risk impact decisions about cloud adoption. It notes that decision paralysis is a major risk when considering cloud, and that organizations adopting cloud at scale tend to have more effective governance processes. It explores how emotions can influence risk perception and judgment. Key recommendations include clarifying costs and biases, calibrating risk appetite, structuring decision-making processes, and focusing on outcomes over compliance. A case study of a large media company migrating to AWS is presented, highlighting how AWS support validated the economics and reduced risks of cloud adoption.

Setting up a Cloud Center of Excellence (CCoE) for Enterprise Customers

Ali Asgar Juzer

SecOps - Bringing Agility into Security

Atlassian

Security threats are all around. Over the past year, Atlassian's Security Intelligence Team has pursued a harmonious state to balance responding to new threats while remaining agile. We call it SecOps. SecOps is ChatOps, DevOps and SecInt - all wrapped up in one. We’ll show you how our team has created a Security Intel hub, as well as offer a few tips and tricks using our Atlassian products to make security programs work. Andrew Wurster, Security Intelligence Team Lead, Atlassian

Accenture DevOps: Delivering applications at the pace of business

Accenture Technology

How to get from Zero to Hundreds of Certified Engineers

Amazon Web Services

For many organizations, a perceived lack of cloud skills in their staff can limit their move to the cloud. Proper training of your engineers and developers can speed the pace of adoption, cloud migration, and delivery of business benefits by effectively operating the AWS Cloud. In this session, we discuss field-proven, prescriptive steps for reskilling and scaling your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively. Speaker: Jonathan Allen, EMEA Enterprise Strategist & Evangelist, Amazon Web Services

Invoice reading made simple

Rob Camerlink

Adaptable Engineering: 3D Printing and Agile

Evan Leybourn

Agile has been very successful in the software industry, where the cost of change is relatively low; creating an environment for adaptable teams, projects and products. Meanwhile, in other industries, engineering in particular, traditional development approaches hold sway due to the significantly higher cost involved in product change. For an Agile engineering approach to be successful, the cost of change – both in people and fabrication – needs to be reduced. This is where 3D printing technologies come in. This interactive session will examine many of the issues faced when applying Agile to physical-engineering product development. It will show how 3D printing technologies can decrease the iterative design cycle time, reduce the barrier to entry, and support the creation of highly complex products or prototypes through modular development. Participate in the real-time development and printing of a product using agile approaches and get a basic understanding of how to use 3D modelling and printing tools. Discover how 3D printing can, and is, being used to develop engineering products.

Magnus Mårtensson: The Cloud challenge is more than just technical – people a...

CodeValue

We have great technology at our fingertips and the technical frontier ascends ever higher in the enticing and exciting Cloud. Organizations are rightly feeling a lot of pressure to keep up. Change is arduous and the technical industry is witnessing a shortage of experienced Cloud Architects. Companies might make a board room decision to adopt a cloud strategy. Great start! Now what? There are several areas of change we need to explore and adapt to which will empower and drive our Cloudy success! Based on helping numerous small to enterprise customers Magnus will highlight areas with important learnings and common challenges to target early optimisation paths on your way to the cloud!

Deep Learning with GPUs in Production - AI By the Bay

Adam Gibson

This document discusses deep learning with GPUs in production environments. It describes different types of GPU clusters for research, cloud, and enterprise production. It also outlines the key considerations for running deep learning jobs on a GPU cluster, including memory management, throughput, resource provisioning, and runtime. Finally, it presents Deeplearning4j as a tool that addresses these challenges by allowing models to be trained on Spark and deployed in Java/Scala applications, with an integrated workflow for data scientists and data engineers.

DeNAの機械学習・深層学習活用した体験提供の挑戦

Koichi Hamada

強くなるためのプログラミング -プログラミングに関する様々なコンテストとそのはじめ方-#pyconjp

cocodrips

バイナリニューラルネットとハードウェアの関係

Kento Tajiri

Scala の関数型プログラミングを支える技術

Naoki Aoyama

iOSエンジニアのためのScala入門

Masaya Dake

元インフラエンジニアが Scalaを触ってつまづいたところ。

takako onoue

CTFはとんでもないものを盗んでいきました。私の時間です…Hiromu Yakura

TensorFlow XLAの可能性

Mr. Vengineer

Using Raspberry Pi GPU for DNN

notogawa

The document discusses using the Raspberry Pi GPU for deep neural network prediction on end devices. It provides an overview of the Raspberry Pi GPU architecture and benchmarks convolutional neural network models like GoogLeNet, ResNet50, and YOLO on the Raspberry Pi 3 and Zero. Optimization techniques discussed include specialized convolution implementations, instruction golfing to reduce operations, removing wasteful computations, and improving data locality.

モデルアーキテクチャ観点からのDeep Neural Network高速化

Yusuke Uchida

Daniel Clayton (Treasury)

AgileNZ Conference

Full-stack agile refers to implementing agile practices across an entire organization from top to bottom. The New Zealand Debt Management Office is implementing agile to better respond to changes and deliver business value sooner. They are using scaled agile framework (SAFE) principles but customizing it to their needs as a small team by having a single release train and integrated DevOps. Regular feedback loops, funding approvals in iterations, and focusing on delivering business value are part of their agile transformation.

NetApp Clustered Data ONTAP with Oracle Databases

NetApp

How FinTech Innovator Razorpay Uses Open-Source Tracing And Observability to ...

Dana Gardner

What's hot

Cloud: Risk profiles, Preference and Decisions in Cloud

Amazon Web Services

Setting up a Cloud Center of Excellence (CCoE) for Enterprise Customers

Ali Asgar Juzer

SecOps - Bringing Agility into Security

Atlassian

Accenture DevOps: Delivering applications at the pace of business

Accenture Technology

How to get from Zero to Hundreds of Certified Engineers

Amazon Web Services

Invoice reading made simple

Rob Camerlink

Adaptable Engineering: 3D Printing and Agile

Evan Leybourn

Magnus Mårtensson: The Cloud challenge is more than just technical – people a...

CodeValue

What's hot (8)

Cloud: Risk profiles, Preference and Decisions in Cloud

Setting up a Cloud Center of Excellence (CCoE) for Enterprise Customers

SecOps - Bringing Agility into Security

Accenture DevOps: Delivering applications at the pace of business

How to get from Zero to Hundreds of Certified Engineers

Invoice reading made simple

Adaptable Engineering: 3D Printing and Agile

Magnus Mårtensson: The Cloud challenge is more than just technical – people a...

Viewers also liked

Deep Learning with GPUs in Production - AI By the Bay

Adam Gibson

DeNAの機械学習・深層学習活用した体験提供の挑戦

Koichi Hamada

強くなるためのプログラミング -プログラミングに関する様々なコンテストとそのはじめ方-#pyconjp

cocodrips

バイナリニューラルネットとハードウェアの関係

Kento Tajiri

Scala の関数型プログラミングを支える技術

Naoki Aoyama

iOSエンジニアのためのScala入門

Masaya Dake

元インフラエンジニアが Scalaを触ってつまづいたところ。

takako onoue

CTFはとんでもないものを盗んでいきました。私の時間です…Hiromu Yakura

TensorFlow XLAの可能性

Mr. Vengineer

Using Raspberry Pi GPU for DNN

notogawa

モデルアーキテクチャ観点からのDeep Neural Network高速化

Yusuke Uchida

Viewers also liked (11)

Deep Learning with GPUs in Production - AI By the Bay

DeNAの機械学習・深層学習活用した体験提供の挑戦

強くなるためのプログラミング -プログラミングに関する様々なコンテストとそのはじめ方-#pyconjp

バイナリニューラルネットとハードウェアの関係

Scala の関数型プログラミングを支える技術

iOSエンジニアのためのScala入門

元インフラエンジニアが Scalaを触ってつまづいたところ。

CTFはとんでもないものを盗んでいきました。私の時間です…

TensorFlow XLAの可能性

Using Raspberry Pi GPU for DNN

モデルアーキテクチャ観点からのDeep Neural Network高速化

Similar to 20170721 future of reactive architectures

Daniel Clayton (Treasury)

AgileNZ Conference

NetApp Clustered Data ONTAP with Oracle Databases

NetApp

How FinTech Innovator Razorpay Uses Open-Source Tracing And Observability to ...

Dana Gardner

From Monoliths to Microservices at Realestate.com.au

evanbottcher

Which erp is better acumatica or sage

Advanced Solutions and Consulting, Co. (ASC)

What makes Acumatica a winner in competition to Sage is its ability to harness the power of cloud computing. All you need is the internet and through a standard browser you can access all ERP functionalities. Most of Sage products on the other hand, are still built on older platform architecture lacking speed, functionality and comfort of use. But what really seals the deal for Acumatica is a controlled TCO by not charging per user as Sage.

Rearchitecting for Innovation.pdf

Amazon Web Services

At Amazon it is always Day 1, which means staying focused on the customer with the ability to respond to ever changing opportunities and challenges with speed and agility. Thomas Blood, EMEA Enterprise Strategist for Amazon Web Services shares how Amazon and it’s cloud customers stay agile and grow their businesses by re-architecting not just their technology, but also their mission and culture.

Matt carroll - "Security patching system packages is fun" said no-one ever

DevSecCon

This document summarizes Matt Carroll's talk on making security patching of system packages less tedious for engineers. It discusses how automating work distribution and feedback through tools like JIRA, establishing clear deadlines, and streamlining documentation can increase agency and motivation. The overall goal is to reduce pain points and uncertainty to encourage proactive security practices rather than treating it as an "arcane ritual".

A Multi-Company Perspective: Enterprise Cloud and PaaS

Thoughtworks

Tech communities are always abuzz with the potential of Platform as a Service (PaaS). The promised ability to slash delivery times, allowing teams to iterate and release new features faster, has a growing number of organisations looking to implement PaaS in 2016. In this presentation, industry leaders provide insights from the trenches by letting us enter the world of Cloud applications automation and PaaS. We also get a glimpse into why and how PaaS is widely adopted, as well as appreciate its constructs and challenges. Further more, you can learn how build your delivery platform around AWS services, CloudFoundry or OpenShift and reflect on how best to create internal cloud and PaaS capabilities to change the way your organisation delivers software.

ExperiaSphere: Open-Source Management and Orchestration--Introduction

tnolle

Rhys Jones, RBS, "Why The Cloud Is The Next Excel"

Chris Purrington

The document discusses how cloud computing platforms are making it easier for non-developers to build their own applications, which is becoming more prevalent as IT budgets shrink and demand for new applications grows. It argues that cloud platforms that abstract away complex infrastructure requirements could allow regular users to build full-featured applications with just a few hours of work. While fully featured applications still require specialist skills, cloud platforms are getting closer to enabling widespread application development outside of traditional IT departments.

How Large Enterprises Use Platform Governance to Gain Agility

Odaseva

This document discusses how large enterprises use platform governance to gain agility on Salesforce. It introduces Salesforce App Cloud and describes how both business and IT can benefit from a true partnership through a center of excellence. This partnership aligns goals, shares metrics for success, and defines repeatable processes and policies for teams to work together as one. The document also provides an example of how Schneider Electric established a network of excellence for platform governance that evolved over time as complexity and criticality of their Salesforce implementation increased.

Accelerate Time to Market: AWS and Asana Talk Collaboration

DevOps.com

This document summarizes a discussion between Asana and AWS on collaboration to accelerate time to market. Key points include: 1) Coordination takes up most work time but provides the least value; work management tools are needed to improve efficiency. 2) AWS transformed to microservices and two-pizza teams to enable agility; Asana uses a double diamond process for innovation. 3) Clear documentation, automated procedures, and feedback loops improve cross-team alignment. 4) Defining roles and responsibilities like tech leads helps scale collaboration and allows fast, sustainable delivery.

Cisco partners with Capgemini to accelerate speed of business with “FAST IT” ...

Capgemini

Cisco partnered with Capgemini to accelerate the speed of business through a "Fast IT" continuous delivery transformation. The transformation enabled IT to keep pace with dynamic market changes by increasing agility and reducing time to deploy capabilities. Capgemini helped Cisco prototype an end-to-end continuous delivery pipeline that reduced deployment times by 27 times and manual steps by 82%. This proof of concept led Cisco to fully transform its delivery processes and culture to continuously deliver innovations to the business.

Startups In The Cloud

adilmd

Startups benefit greatly from using cloud computing infrastructure over traditional systems. The cloud provides rapid deployment and scalability with lower upfront costs. It allows startups to focus on their product instead of worrying about infrastructure. Animoto successfully scaled their system from 25,000 to 250,000 users in just 3 days by leveraging the elastic capabilities of the cloud. Other startups like EnTrip have also moved to the cloud to handle heavy processing loads and database searches needed to power their online travel applications. Cloud platforms and services help startups manage scalable, redundant infrastructure so they can grow quickly.

Redefine Triage by Learning the Golden Nuggets of APM From Noted "APM Best Pr...

CA Technologies

Opentrends #DES2019 keynote at Inspiration Arena: Keep Calm and be Cloud

Salvador Bosque

DevSecOps in the Cloud from the Lens of a Well-Architected Framework.pptx

Turja Narayan Chaudhuri

- DevSecOps integrates security as a shared responsibility throughout the IT lifecycle by automating security gates to keep the DevOps workflow from slowing down. Architecture matters as it represents significant design decisions that shape a system's structure and behavior. Non-functional requirements like security, reliability and deployability are important for architecture. DevSecOps principles extend architectural best practices by enforcing the same non-functional requirements across the development lifecycle. We need to ensure DevSecOps practices are based on architectural foundations to fulfill business needs now and in the future.

Scaling Autonomy in a FinTech Unicorn - WeAreDevelopers 2019

Alvar Lumberg

How Dealertrack Optimizes the DevOps Toolchain, FutureStack17

New Relic

AWS Summit Singapore | Webinar Edition | Fast Start with AWS & Migrate to AWS!

Amazon Web Services

- Fast Start with AWS (L100) | Working Backwards from the Customer. -Move it! Migrating to AWS (L200) | Innovating SAP the Easy Way Migrate it to AWS -Move it! Migrating to AWS (L200) |Secrets of Successful Cloud Migrations Khởi động nhanh với AWS (Cấp 100) | Làm việc theo chiều ngược lại từ khách hàng Chuyển đổi sang AWS (Cấp 200) | Cách tân SAP một cách đơn giản – Di chuyển sang nền tảng AWS Hãy thay đổi! Chuyển đổi sang AWS (Cấp 200) | Bí mật để chuyển sang công nghệ điện toán đám mây thành công

Similar to 20170721 future of reactive architectures (20)

Daniel Clayton (Treasury)

NetApp Clustered Data ONTAP with Oracle Databases

How FinTech Innovator Razorpay Uses Open-Source Tracing And Observability to ...

From Monoliths to Microservices at Realestate.com.au

Which erp is better acumatica or sage

Rearchitecting for Innovation.pdf

Matt carroll - "Security patching system packages is fun" said no-one ever

A Multi-Company Perspective: Enterprise Cloud and PaaS

ExperiaSphere: Open-Source Management and Orchestration--Introduction

Rhys Jones, RBS, "Why The Cloud Is The Next Excel"

How Large Enterprises Use Platform Governance to Gain Agility

Accelerate Time to Market: AWS and Asana Talk Collaboration

Cisco partners with Capgemini to accelerate speed of business with “FAST IT” ...

Startups In The Cloud

Redefine Triage by Learning the Golden Nuggets of APM From Noted "APM Best Pr...

Opentrends #DES2019 keynote at Inspiration Arena: Keep Calm and be Cloud

DevSecOps in the Cloud from the Lens of a Well-Architected Framework.pptx

Scaling Autonomy in a FinTech Unicorn - WeAreDevelopers 2019

How Dealertrack Optimizes the DevOps Toolchain, FutureStack17

AWS Summit Singapore | Webinar Edition | Fast Start with AWS & Migrate to AWS!

Recently uploaded

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

Tatiana Kojar

Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI. With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.

HCL Notes and Domino License Cost Reduction in the World of DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/ The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this! We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model. Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward. These topics will be covered - Reducing license cost by finding and fixing misconfigurations and superfluous accounts - How do CCB and CCX licenses really work? - Understanding the DLAU tool and how to best utilize it - Tips for common problem areas, like team mailboxes, functional/test users, etc - Practical examples and best practices to implement right away

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack

shyamraj55

dbms calicut university B. sc Cs 4th sem.pdf

Shinana2

Astute Business Solutions | Oracle Cloud Partner |

AstuteBusiness

SAP S/4 HANA sourcing and procurement to Public cloud

maazsz111

Trusted Execution Environment for Decentralized Process Mining

LucaBarbaro3

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Tosin Akinosho

Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

Main news related to the CCS TSI 2023 (2023/1695)

Jakub Marek

An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers. The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 . The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .

Presentation of the OECD Artificial Intelligence Review of Germany

innovationoecd

JavaLand 2024: Application Development Green Masterplan

Miro Wengner

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

Alex Pruden

Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security. Paper Link: https://eprint.iacr.org/2024/257

“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/ Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit. The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers. Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.

FREE A4 Cyber Security Awareness Posters-Social Engineering part 3

Data Hops

TrustArc Webinar - 2024 Global Privacy Survey

TrustArc

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

Programming Foundation Models with DSPy - Meetup Slides

Zilliz

June Patch Tuesday

Ivanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

Hiike

A Comprehensive Guide to DeFi Development Services in 2024

Intelisync

DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum. In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance. In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape. At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology. Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!

Taking AI to the Next Level in Manufacturing.pdf

ssuserfac0301

Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as: 1. How quickly AI is being implemented in manufacturing. 2. Which barriers stand in the way of AI adoption. 3. How data quality and governance form the backbone of AI. 4. Organizational processes and structures that may inhibit effective AI adoption. 6. Ideas and approaches to help build your organization's AI strategy.

Recently uploaded (20)

Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...

HCL Notes and Domino License Cost Reduction in the World of DLAU

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack

dbms calicut university B. sc Cs 4th sem.pdf

Astute Business Solutions | Oracle Cloud Partner |

SAP S/4 HANA sourcing and procurement to Public cloud

Trusted Execution Environment for Decentralized Process Mining

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Main news related to the CCS TSI 2023 (2023/1695)

Presentation of the OECD Artificial Intelligence Review of Germany

JavaLand 2024: Application Development Green Masterplan

zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...

“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...

FREE A4 Cyber Security Awareness Posters-Social Engineering part 3

TrustArc Webinar - 2024 Global Privacy Survey

Programming Foundation Models with DSPy - Meetup Slides

June Patch Tuesday

System Design Case Study: Building a Scalable E-Commerce Platform - Hiike

A Comprehensive Guide to DeFi Development Services in 2024

Taking AI to the Next Level in Manufacturing.pdf

20170721 future of reactive architectures

1. Future of Reactive Architectures Scala Up North, July 21, 2017

2. Director of Engineering Uniﬁed Commerce Platform Jamie Allen

3. Microservices Engineers Senior Microservices Engineers Principal Microservices Engineers Technical Managers

5. It’s easy to lose sight of what companies are really trying to accomplish Vendor life

7. Nothing matters more to stakeholders Delivering business value quickly

8. Cannot be done unless you can rapidly develop teams Caveat

9. FP? Reactive? Yes, use both, where they add value

10. Only one team had FP help Our teams each learned differently

11. Painful making calls between services Hand-stitched interactions

12. We’ve avoided that so far Use Akka Cluster?

13. FP knowledge doesn’t scale Critical fact

14. Critical fact Neither does Akka knowledge

15. I need to deliver business value! It doesn’t matter

16. Make it easier to quickly deliver business value in a Reactive architecture So what do we do?

17. Let the toolchain handle the majority of resilience issues Use Reactive principles where they’re most needed

18. Simplify service interactions gRPC

19. Orchestration is as much about the ecosystem as the capabilities Kubernetes

20. Service mesh with additional telemetry and security support Istio

21. Absolutely not Is Starbucks abandoning Scala and Akka?

22. What about data? Turns out, we were wrong here too

23. CAP Theorem isn’t what we thought Next generation storage

24. CAP Theorem isn’t what we thought Next generation storage Google: Calvin Fauna

25. Do we need to be Reactive everywhere? Choose how to be reactive in delivering business value quickly

26. Thank you! Questions?

20170721 future of reactive architectures

Recommended

Recommended

More Related Content

What's hot

What's hot (8)

Viewers also liked

Viewers also liked (11)

Similar to 20170721 future of reactive architectures

Similar to 20170721 future of reactive architectures (20)

Recently uploaded

Recently uploaded (20)

20170721 future of reactive architectures