Farmville, Cafeworld, and 5 out of 10 the top games on facebook is powered by Zynga and AWS. Jayme Cox discusses how Zynga uses AWS and shares some the lessons learned a the AWS Startup Tour - SV - 2010
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...Amazon Web Services
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
Infrastructure as a code: a cloud approachThinkOpen
Federico Bollotta, Software Analyst & Magento Specialist, presenta il workshop “Infrastructure as a code: a cloud approach”.
Federico ci porta alla scoperta del kit AWS Cloud Development (AWS CDK), un framework di sviluppo software open source che consente di modellare ed erogare risorse di applicazioni cloud tramite linguaggi di programmazione noti.
Durante l’incontro vengono approfondite le metodologie attuali e le diverse applicazioni del Cloud Development Kit, in particolare quelle per deploy di strutture serverless.
L'evento è dedicato a tutti gli appassionati del mondo IT e a coloro che vogliono approfondire le proprie conoscenze in merito ad AWS CDK.
Farmville, Cafeworld, and 5 out of 10 the top games on facebook is powered by Zynga and AWS. Jayme Cox discusses how Zynga uses AWS and shares some the lessons learned a the AWS Startup Tour - SV - 2010
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...Amazon Web Services
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
Infrastructure as a code: a cloud approachThinkOpen
Federico Bollotta, Software Analyst & Magento Specialist, presenta il workshop “Infrastructure as a code: a cloud approach”.
Federico ci porta alla scoperta del kit AWS Cloud Development (AWS CDK), un framework di sviluppo software open source che consente di modellare ed erogare risorse di applicazioni cloud tramite linguaggi di programmazione noti.
Durante l’incontro vengono approfondite le metodologie attuali e le diverse applicazioni del Cloud Development Kit, in particolare quelle per deploy di strutture serverless.
L'evento è dedicato a tutti gli appassionati del mondo IT e a coloro che vogliono approfondire le proprie conoscenze in merito ad AWS CDK.
Tensorflow London 13: Barbara Fusinska 'Hassle Free, Scalable, Machine Learni...Seldon
Speaker: Barbara Fusinska, Machine Learning Strategic Cloud Engineer at Google
Title: Hassle Free, Scalable, Machine Learning with Kubeflow
Abstract: Kubeflow uses Kubernetes strengths to build a toolkit for data scientists where they can create, train and publish the models in a hassle-free and scalable way. The goal is to run machine learning workflow without a need to think about the infrastructure. In this talk, Barbara will discuss the capabilities of Kubeflow from the data scientist perspective. The presentation will introduce how you can use the platform to build the models and deploy it adjusting the computation environment.
Bio: Barbara is a Machine Learning Strategic Cloud Engineer at Google with strong software development background. While working with a variety of different companies, she gained experience in building diverse software systems. This experience brought her focus to the Data Science and Big Data field. She believes in the importance of the data and metrics when growing a successful business. Alongside collaborating around data architectures, Barbara still enjoys programming activities. Currently speaking at conferences in-between working in London. She tweets at @BasiaFusinska and you can follow her blog.
Thanks to all TensorFlow London meetup organisers and supporters:
Seldon.io
Altoros
Rewired
Google Developers
Rise London
In this deck, we talk about the different computing methods that can be used for video analytics.
We talk about cloud computing and edge computing in particular with relevant examples. We also discuss the advantages and disadvantages of each medium.
Shoot the Bird: Linear Broadcast Distribution on AWS by Usman Shakeel of Amaz...ETCenter
Can traditional live linear content distribution models be effectively evolved from existing satellite communication networks to pure IP-based cloud-centric transit? In this session we will take a look at requirements that must be met to facilitate wide-scale distribution of content at low latency with high levels of availability, durability, reliability and throughput. We’ll look at best practices for high availability and resilience, take a deep dive into topics such as effective erasure correction and deterministic network topologies, factor in advantages around lower cost for compute and bandwidth when utilizing cloud-based infrastructure, and arrive at a reference architecture that can be used to drive B2B content distribution through the cloud at scale.
Automated Media Workflows in the Cloud (MED304) | AWS re:Invent 2013Amazon Web Services
Ingesting, storing, processing and delivering a large library of content involves massive complexity. This session walks through sample code that leverages AWS Services to perform all these tasks while coordinating the activities with Amazon Simple Workflow Service (SWF). Along the journey you are introduced to best practices for cost optimization, monitoring, reporting, and exception or error handling. In addition to the sample workflow, a guest speaker from Netflix takes the audience on a deep dive into their “digital supply chain” where you learn how they have automated their processes in moving data all the way from the studios to the last mile. Services covered include Amazon SWF, Amazon Simple Storage Service (S3), Amazon Glacier, Amazon Elastic Compute Cloud (EC2), Amazon Elastic Transcoder, Amazon Mechanical Turk, and Amazon CloudFront.
This presentation covers the following topics-
1. Video Classification as a sequence of frames
2. Video Classification as a sequence of frame-blocks
3. 2D ConvNets for Videos
4. CNN + LSTM
Scylla Summit 2018: Discord: The Joy of Opinionated SystemsScyllaDB
“Infinitely configurable” is just another way to say “so many ways to shoot yourself in the foot you’ll never get bored!” In this talk we briefly explore the pitfalls of common Open Source system design and see what happens when you take the less-travelled path like ScyllaDB has. Discord has saved time and been able to move quickly without incident by deploying Scylla and trusting in the well-formed opinions of others.
Advanced Spark and TensorFlow Meetup - Dec 12 2017 - Dong Meng, MapR + Kubern...Chris Fregly
https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/244971261/
Based on this blog post: https://mengdong.github.io/2017/07/15/distributed-tensorflow-with-gpu-on-kubernetes-and-mapr/
youtube video:
https://www.youtube.com/watch?v=3phz1_B-rR4
http://pipeline.ai
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and KnativeOmar Al-Safi
In this talk, we will leverage all cloud native stacks and tools to build Camel Quarkus routes natively using GraalVM native-image on Tekton pipeline and deploy these routes to Kubernetes cluster with Knative installed. We will dive into the following topics in the talk: - Introduction to Camel - Introduction to Camel Quarkus - Introduction to GraalVM Native Image - Introduction to Tekon - Introduction to Knative - Demo shows how to deploy end to end a Camel Quarkus route which include the following steps: - Look at whole deployment pipeline for Cloud Native Camel Quarkus routes - Build Camel Quarkus routes with GraalVM native-image on Tekton pipeline. - Deploy Camel Quarkus routes to Kubernetes cluster with Knative Targeted Audience: Users with basic Camel knowledge
Exploring Infrastructure Management for GenAI Beyond KubernetesDataPhoenix
During this talk, we will discuss the Kubernetes stack's drawbacks in the context of AI and show how dstack addresses them in the training and deployment of GenAI models.
Recording of the webinar: https://dataphoenix.info/exploring-infrastructure-management-for-genai-beyond-kubernetes/
Tensorflow London 13: Barbara Fusinska 'Hassle Free, Scalable, Machine Learni...Seldon
Speaker: Barbara Fusinska, Machine Learning Strategic Cloud Engineer at Google
Title: Hassle Free, Scalable, Machine Learning with Kubeflow
Abstract: Kubeflow uses Kubernetes strengths to build a toolkit for data scientists where they can create, train and publish the models in a hassle-free and scalable way. The goal is to run machine learning workflow without a need to think about the infrastructure. In this talk, Barbara will discuss the capabilities of Kubeflow from the data scientist perspective. The presentation will introduce how you can use the platform to build the models and deploy it adjusting the computation environment.
Bio: Barbara is a Machine Learning Strategic Cloud Engineer at Google with strong software development background. While working with a variety of different companies, she gained experience in building diverse software systems. This experience brought her focus to the Data Science and Big Data field. She believes in the importance of the data and metrics when growing a successful business. Alongside collaborating around data architectures, Barbara still enjoys programming activities. Currently speaking at conferences in-between working in London. She tweets at @BasiaFusinska and you can follow her blog.
Thanks to all TensorFlow London meetup organisers and supporters:
Seldon.io
Altoros
Rewired
Google Developers
Rise London
In this deck, we talk about the different computing methods that can be used for video analytics.
We talk about cloud computing and edge computing in particular with relevant examples. We also discuss the advantages and disadvantages of each medium.
Shoot the Bird: Linear Broadcast Distribution on AWS by Usman Shakeel of Amaz...ETCenter
Can traditional live linear content distribution models be effectively evolved from existing satellite communication networks to pure IP-based cloud-centric transit? In this session we will take a look at requirements that must be met to facilitate wide-scale distribution of content at low latency with high levels of availability, durability, reliability and throughput. We’ll look at best practices for high availability and resilience, take a deep dive into topics such as effective erasure correction and deterministic network topologies, factor in advantages around lower cost for compute and bandwidth when utilizing cloud-based infrastructure, and arrive at a reference architecture that can be used to drive B2B content distribution through the cloud at scale.
Automated Media Workflows in the Cloud (MED304) | AWS re:Invent 2013Amazon Web Services
Ingesting, storing, processing and delivering a large library of content involves massive complexity. This session walks through sample code that leverages AWS Services to perform all these tasks while coordinating the activities with Amazon Simple Workflow Service (SWF). Along the journey you are introduced to best practices for cost optimization, monitoring, reporting, and exception or error handling. In addition to the sample workflow, a guest speaker from Netflix takes the audience on a deep dive into their “digital supply chain” where you learn how they have automated their processes in moving data all the way from the studios to the last mile. Services covered include Amazon SWF, Amazon Simple Storage Service (S3), Amazon Glacier, Amazon Elastic Compute Cloud (EC2), Amazon Elastic Transcoder, Amazon Mechanical Turk, and Amazon CloudFront.
This presentation covers the following topics-
1. Video Classification as a sequence of frames
2. Video Classification as a sequence of frame-blocks
3. 2D ConvNets for Videos
4. CNN + LSTM
Scylla Summit 2018: Discord: The Joy of Opinionated SystemsScyllaDB
“Infinitely configurable” is just another way to say “so many ways to shoot yourself in the foot you’ll never get bored!” In this talk we briefly explore the pitfalls of common Open Source system design and see what happens when you take the less-travelled path like ScyllaDB has. Discord has saved time and been able to move quickly without incident by deploying Scylla and trusting in the well-formed opinions of others.
Advanced Spark and TensorFlow Meetup - Dec 12 2017 - Dong Meng, MapR + Kubern...Chris Fregly
https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/244971261/
Based on this blog post: https://mengdong.github.io/2017/07/15/distributed-tensorflow-with-gpu-on-kubernetes-and-mapr/
youtube video:
https://www.youtube.com/watch?v=3phz1_B-rR4
http://pipeline.ai
Build and Deploy Cloud Native Camel Quarkus routes with Tekton and KnativeOmar Al-Safi
In this talk, we will leverage all cloud native stacks and tools to build Camel Quarkus routes natively using GraalVM native-image on Tekton pipeline and deploy these routes to Kubernetes cluster with Knative installed. We will dive into the following topics in the talk: - Introduction to Camel - Introduction to Camel Quarkus - Introduction to GraalVM Native Image - Introduction to Tekon - Introduction to Knative - Demo shows how to deploy end to end a Camel Quarkus route which include the following steps: - Look at whole deployment pipeline for Cloud Native Camel Quarkus routes - Build Camel Quarkus routes with GraalVM native-image on Tekton pipeline. - Deploy Camel Quarkus routes to Kubernetes cluster with Knative Targeted Audience: Users with basic Camel knowledge
Exploring Infrastructure Management for GenAI Beyond KubernetesDataPhoenix
During this talk, we will discuss the Kubernetes stack's drawbacks in the context of AI and show how dstack addresses them in the training and deployment of GenAI models.
Recording of the webinar: https://dataphoenix.info/exploring-infrastructure-management-for-genai-beyond-kubernetes/
Presentation of a session about how we use AWS Neptune graph database and the road that we took from 0 to production as it was given at GeekTime Code conference by Ohad Israeli Tech Engineering Architect @ Natural Intelligence
Towards Continuous Deployment with DjangoRoger Barnes
It's no secret that python is fantastic when it comes to rapid prototyping and development. When it comes to deploying a web application, the road to glory isn't as well paved and navigating the array of techniques and tools can be daunting.
This talk will address the advantages of continuous deployment, the success factors involved and the tools available, mainly focusing on experiences with Django web development.
Implement a disaster recovery solution for your on-prem SQL with Azure? Easy!Marco Obinu
Slides presented at SQL Saturday 980 Plovdiv, talking about the different architectures you can implement to protect your on-premises SQL Server workloads on Azure for DR purposes.
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...NETWAYS
Serverless is one of the hottest design patterns in the cloud today, i’ll cover how the Serverless paradigms are changing the way we develop applications and the cloud infrastructures and how to implement Serveless-kind workloads with Kubernetes.
We’ll go through the latest Kubernetes-based serverless technologies, covering the most important aspects including pricing, scalability, observability and best practices
Distributed deep learning optimizations - AI WithTheBestgeetachauhan
Learn how to optimize Tensorflow for your Intel CPU and techniques for distributed deep learning for both model training and inferencing. Talk @ AI WithTheBest
What does a typical day as an SRE look like? In this presentation I will discuss the challenges we face while running a SaaS platform that is used 24 / 7 / 365 around the globe. In doing so, we have embraced the core principles described in the Google SRE handbook. While we are not Google by any means, most of the principles apply to our daily work one way or another. Having a fully distributed team running a distributed system can be quite challenging. In this talk I’ll be covering:
- Core SRE principles
- How Instana has applied them to our daily work
- Lessons learned along the way
Cloud-Native Operations with Kubernetes and CI/CDVMware Tanzu
Operations practices have historically lagged behind development. Agile and Extreme Programming have become common practice for development teams. In the last decade, the DevOps and SRE movements have brought these concepts to operations, borrowing heavily from Lean principles such as Kanban and Value Stream Mapping. So, how does all of this play out if we’re using Kubernetes?
In this class, Paul Czarkowski, Principal Technologist at Pivotal, will explain how Kubernetes enables a new cloud-native way of operating software. Attend to learn:
● what cloud-native operations are;
● how to build a cloud-native CI/CD stack; and
● how to deploy and upgrade an application from source to production on Kubernetes.
Presenter:
Paul Czarkowski, Principal Technologist, Pivotal Software
Lessons Learned From Cloud Migrations: Planning is EverythingJohn Varghese
"Migrating to the cloud saves money!” “Not running your own infrastructure reduces your bottom line!” “Lift and shift is a legitimate first step towards moving to the cloud!” These are all potential pitfalls if you’re not careful. Proper planning prevents piss poor performance. Using a real chaotic cloud migration as a guide, we’ll walk through the pitfalls of cloud migrations and how to avoid them and the terrifying vendor lock-in (when it makes sense).
Leveraging AWS Cloudfront & S3 Services to Deliver Static Assets of a SPAJohn Varghese
Most new SAAS are structured as a SPA (single page applications). In this presentation we will discuss how to reduce the load on your application servers by serving the static assets of your applications from the S3 service by leveraging the Cloudfront service.
AWS Transit Gateway-Benefits and Best PracticesJohn Varghese
Managing connectivity between many Amazon Virtual Private Clouds (VPCs) and on-premises networks can be operationally complex and costly. In this tech talk, we will discuss how AWS transit gateway simplifies network architecture, reduces operational costs and improves security. We will also discuss best practices for designing and monitoring a global network using AWS transit gateway and Network Manager.
Bridging Operations and Development With ObservabiltyJohn Varghese
Monitoring and observability are often viewed as post-deployment tools focused on operations. But development done in isolation limits visibility to the system as a whole, and issues tend to manifest only in production.
In this talk I will show:
How to leverage Infrastructure as Code (Terraform) to manage AWS ECS/EC2 and Datadog across development and production environments
How introducing monitoring and observability earlier provides greater visibility for both developers and operations.
Strategies to segment development and production environments within ECS and Datadog
Security Observability for Cloud Based ApplicationsJohn Varghese
You can't control what you can't see. Security observability is an intrinsic attribute of an application that provides direct observation of software vulnerabilities and attempted exploits as they happen, in order to allow rapid proactive remediation and prevention. Security Observability can be achieved by taking an instrumentation based approach that provides continuous visibility and exposure of vulnerabilities and threats and their context from within the software itself. This approach is particularly appropriate for cloud-based and hybridized distributed environments, because the instrumentation is agnostic to deployment methodologies and runtime environments. A demonstration will be provided that demonstrates the benefits of this approach for both custom code and open source dependencies, as well as across the software development lifecycle, showing both the rapid pinpointing of line-of-code level vulnerabilities for developers, and realtime exploit prevention in production.
Usually we launch hundreds of instances in AWS for day to day work. As long as they are accessible from our hosts (probably a RHEL or Ubuntu or your own mac), we are good to go. But there are some instances where you might get a patch from IT for your host. Once you apply the patch, you realize that you are unable to access your AWS instances anymore. And your IT team doesn't have any clue on what happened. You contact AWS support, and they say it all looks good. So how do you proceed from this scenario? Where to start and what to do. This talk goes through all the steps starting with most basic checks all the way to updating the crypto key exchange algorithms on your host.
Building an IoT System to Protect My LunchJohn Varghese
What do you do when your dog keeps eyeing your lunch? Build an IoT monitoring system to make sure you get a text message every time she gets close to nabbing your sandwich! In this presentation, you’ll learn the basics of connecting a Raspberry Pi device with a PIR sensor to AWS IoT. You’ll see how to:
Secure the connection between the device and AWS IoT
Leverage services like AWS Lambda to act on MQTT events that come from the device
Build a web portal to keep track of past alerts
And send yourself text notifications whenever your sandwich is at risk After the presentation, you'll have access to all the code used and other resources on getting started with using a Raspberry Pi and AWS IoT.
Amazon S3 probably gets a lot of use at your company—the object storage service was one of the first cloud services offered by AWS way back in 2006. Its ease of use, reliability, and scalability have proven incredibly popular over the years.
But S3 security isn’t so simple—it’s easy to get wrong and think you got it right. Recent high-profile cloud-based data breaches that involved S3 cannot be chalked up to simple customer mistakes. Rather, advanced cloud misconfiguration attacks exploit S3 buckets that otherwise appear to be configured securely.
In this talk, Fugue CTO Josh Stella will dig into the complex layers of S3 security to help you think critically about security for your unique AWS use cases. You’ll understand how other AWS services such as IAM and EC2 can create S3 vulnerabilities you may not be seeing—and how malicious actors exploit them.
Reduce Amazon RDS Costs up to 50% with ProxiesJohn Varghese
Amazon RDS is one of the more expensive line items in an AWS bill. In this session, we will discuss techniques to offload SQL for improved performance while reducing database costs. Features include:
Query caching into Amazon ElastiCache
Read/Write split We will go over customer case studies on how they were able to drive down costs while scaling out.
John will talk about how progress happens constantly in every field and keeps pushing the boundaries of human knowledge. He will review the advances in the field of cloud computing as a microcosm where progress is always happening on every front. How does one keep up with the change? Is it just good enough to keep up with the change? John wants you to not just keep up with the changes, not just stay ahead of the curve, but to lead the change so that your work benefits everyone.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
6. About BERT
Transfer Learning
● Pretraining
● Finetuning
Training tasks -
● Masked
Language
Model
● Next Sentence
Prediction
7. BERT Pipeline
Pre-trained Checkpoints
(Wikipedia + Books Corpus)
Custom Data
Pre-trained
Checkpoints
(Wikipedia + Books
Corpus)
Pre-trained on
Stored data
Custom Pre-trained
Checkpoints Pretrain using
Custom Data
Using open-sourced
Pre-trained checkpoints
Finetuning the Checkpoints on Task
Specific Data
Finetuned Checkpoints
TensorRT Builder
TensorRT BERT engine
Generate
task-specific BERT
TensorRT Engine
- OR -
16. TensorRT Optimizations
GELU Activation Function
gelu(x) = a * x * (1 + tanh(b * (x + c * x ^ 3) ) )
result = x^3
result = c * result
result = x + result
result = b * result
result = tanh(result) + 1
result = x * result
result = a * result
21. Key Takeaways from this talk
● State of the art inference speed
○ TensorRT optimization makes it possible to use BERT in production
now
■ Latency - 2.2 ms for downstream task
● Optimizations are open source
○ You can customize for your custom BERT variant
● Super Simple to set up
