Implementing iam for (k8s) pods in aws

•Download as PPTX, PDF•

0 likes•159 views

Mikhail Advani discusses implementing IAM roles for authentication in Kubernetes pods running on AWS. He recommends using IAM roles to allow applications to securely communicate with AWS APIs without embedded credentials. The advantages are that no persistent credentials are needed and policies can be finely tuned. However, IAM roles only provide access at the pod level and are best for scenarios where short-lived credentials can be used.

Software

Implementing IAM for (k8s)
pods in AWS
Mikhail Advani

Who am I?
● Infrastructure Automation Engineer at Mendix in Rotterdam, Netherlands
● AWS, Terraform, Kubernetes, Security Nerd

Recommended way for apps to communicate with
AWS from within AWS

Implementation Tooling
● Kubernetes Hosting: EKS/self-managed
● Infrastructure provisioning: Terraform
● Cluster configuration: Helm

Advantages
● No persistent credentials required
● Granular level of policy allocation

Advantages
● Works in a multi-account setup

Disadvantages
● No container level access rights

Disadvantages
● Can be used only for scenarios allowing short lived credentials

When is the last time when you pushed an update to .NET framework in a production environment? Did you define an updated process of .NET framework for production environments? Is the support team aware about what can happen if a security update is not pushed to the machines? In this session we will take a look on some security problems that .NET framework has and what can happen if we don't take security into account. We will take a look on different versions of .NET (including .NET Core). Best practives related to this topic will be covered and debated.

Serverless Pitfalls

Kate Semizhon

NashTech - Azure Application Insights

Phi Huynh

Deep dive into Conversational Ai development

Marco Parenzan

Azure Microservices in Practice - Radu Vunvulea ITCamp Community Timisoara 07...

Radu Vunvulea

Monitor Azure Kubernetes Cluster With Prometheus by Mamta Jha

CodeOps Technologies LLP

Developing reliable applications with .net core and AKS

Alessandro Melchiori

Filip Kanpik - Product Manager @ Google Cloud Platform raised a topic related to the challenges and opportunities of the servaste architecture based on Google Cloud. The presentation will also cover open source solutions and launch of Serverless services on Kubernetes clusters using Knative; also outside of Google Cloud. We will talk about issues related to the efficiency of Serverless solutions in the public cloud and the direction of development of the entire area.

AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWS

AWS Chicago

Leading Edge of Modern Web Apps on Azure - Menaka - CCDays

CodeOps Technologies LLP

Java & Microservices in Azure

CodeOps Technologies LLP

Using cloud providers in new light for the brave new API-first world of devel...

Shamasis Bhattacharya

Azure Service Fabric - Hamida Rebai - CCDays

CodeOps Technologies LLP

Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric. Shared as part of Cloud Community Days on 17th June 2020 - ccdays.konfhub.com

Go Serverless with Java and Azure Functions

CodeOps Technologies LLP

Let’s dive into the world of serverless and give you real world examples of how to get started. We will focus on Azure Functions in Java and discuss how to provision, deploy and test them in a productive environment. In my demos we will see the ease of local development leveraging from the great integration in Visual Studio Code. Finally, let’s ship our samples and scale them in Azure. If you are tired of server maintenance and want to achieve more with your java functions , don’t miss this session.

Recover from accidental deletions of your snapshots using recycle bin

Dhaval Soni

Azure Serverless with Functions, Logic Apps, and Event Grid

WinWire Technologies Inc

Looking to build intelligent apps that will get to market faster or create apps by stitching together valuable and complementary functionality from various sources? Azure serverless helps you quickly build and deploy cloud-scale enterprise applications in Azure leveraging Azure’s key serverless offerings – Functions, Logic Apps, and Event Grid. Serverless computing is the abstraction of servers, infrastructure, and operating systems. Azure Serverless allows you to focus on building and deploying your code without worrying about managing servers. Once deployed, you can trust Azure to scale your code in real-time as per need, and you pay for only the resources you use.

AI on the edge

Riccardo Cappello

Controlling your home with IoT Hub

Stamatis Pavlis

Migration to AWS

Jerry Liao

SignalR 101

John Patrick Oliveros

Using Machine Learning on K8s Logs to Find Root Cause Faster

LibbySchulze

Microsoft DevOps for AI with GoDataDriven

GoDataDriven

Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations. The difficult part about integrating AI or ML into an application is not the technology, or the math, or the science or the algorithms. The challenge is getting the model deployed into a production environment and keeping it operational and supportable. Software development teams know how to deliver business applications and cloud services. AI/ML teams know how to develop models that can transform a business. But when it comes to putting the two together to implement an application pipeline specific to AI/ML — to automate it and wrap it around good deployment practices — the process needs some effort to be successful.

Integrating API Gateway and internal ELB

Juan Diaz

Deploy Microservices To Kubernetes Without Secrets by Reenu Saluja

CodeOps Technologies LLP

Datadog Partner Demo- AWS Container Day 2019 Barcelona

Amazon Web Services

Cloud computing

Madan Kumawat

RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALLING. RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING RELIABLE COMMUNICATION EASY MULTIPLEXING EASY SIGNALING

Serverless for visual journalism at the bbc

AWSCOMSUM

DockerCon 2016 - Structured Container Delivery

Oscar Renalias

Amazon ECS at Coursera: A unified execution framework while defending against...

Brennan Saeta

What's hot

The future is Serveless | Filip Knapik | #4 Serverless UG Warsaw

Serverless User Group Poland

AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWS

AWS Chicago

Leading Edge of Modern Web Apps on Azure - Menaka - CCDays

CodeOps Technologies LLP

Java & Microservices in Azure

CodeOps Technologies LLP

Using cloud providers in new light for the brave new API-first world of devel...

Shamasis Bhattacharya

Azure Service Fabric - Hamida Rebai - CCDays

CodeOps Technologies LLP

Go Serverless with Java and Azure Functions

CodeOps Technologies LLP

Recover from accidental deletions of your snapshots using recycle bin

Dhaval Soni

Azure Serverless with Functions, Logic Apps, and Event Grid

WinWire Technologies Inc

AI on the edge

Riccardo Cappello

Controlling your home with IoT Hub

Stamatis Pavlis

Migration to AWS

Jerry Liao

SignalR 101

John Patrick Oliveros

Using Machine Learning on K8s Logs to Find Root Cause Faster

LibbySchulze

Microsoft DevOps for AI with GoDataDriven

GoDataDriven

Integrating API Gateway and internal ELB

Juan Diaz

Deploy Microservices To Kubernetes Without Secrets by Reenu Saluja

CodeOps Technologies LLP

Datadog Partner Demo- AWS Container Day 2019 Barcelona

Amazon Web Services

Cloud computing

Madan Kumawat

Serverless for visual journalism at the bbc

AWSCOMSUM

What's hot (20)

The future is Serveless | Filip Knapik | #4 Serverless UG Warsaw

AWS Community Day - Piyali Kamra - Conversational AI Ecosystem on AWS

Leading Edge of Modern Web Apps on Azure - Menaka - CCDays

Java & Microservices in Azure

Using cloud providers in new light for the brave new API-first world of devel...

Azure Service Fabric - Hamida Rebai - CCDays

Go Serverless with Java and Azure Functions

Recover from accidental deletions of your snapshots using recycle bin

Azure Serverless with Functions, Logic Apps, and Event Grid

AI on the edge

Controlling your home with IoT Hub

Migration to AWS

SignalR 101

Using Machine Learning on K8s Logs to Find Root Cause Faster

Microsoft DevOps for AI with GoDataDriven

Integrating API Gateway and internal ELB

Deploy Microservices To Kubernetes Without Secrets by Reenu Saluja

Datadog Partner Demo- AWS Container Day 2019 Barcelona

Cloud computing

Serverless for visual journalism at the bbc

Similar to Implementing iam for (k8s) pods in aws

DockerCon 2016 - Structured Container Delivery

Oscar Renalias

Amazon ECS at Coursera: A unified execution framework while defending against...

Brennan Saeta

(CMP406) Amazon ECS at Coursera: A general-purpose microservice

Amazon Web Services

"Coursera has helped millions of students learn computer science through MOOCs ranging from Introduction to Python, to state-of-the-art Functional-Reactive Programming in Scala. Our interactive educational experience relies upon an automated grading platform for programming assignments. But, because anyone can sign up for a course on Coursera for free, our systems must defend against arbitrary code execution. Come learn how Coursera uses AWS services such as Amazon EC2 Container Service (ECS), and Amazon Virtual Private Cloud (VPC) to power a defense-in-depth strategy to secure our infrastructure against bad actors. We have modified the Amazon ECS Agent to support security layers including kernel privilege de-escalation, and enabling mandatory access control systems. Additionally, we post-process uploaded grading container images to defang binaries. At the core of automated grading is a general-purpose near-line & batch scheduling and execution microservice built on top of the Amazon ECS APIs. We use this flexible system to power a variety of internal services across the company including data exports for instructors, course announcement emails, data reconciliation jobs, and more. In this session, we detail aspects of our success from implementing Docker and Amazon ECS in production, providing ideas for your own scheduling, execution and hardening requirements."

Intelligent serverless-streaming-pipeline-using-kinesis-fargate-cfn

Yogesh Sharma

Slide DevSecOps Microservices

Hendri Karisma

Using Containers and Serverless to Deploy Microservices (ARC214) - AWS re:Inv...

Amazon Web Services

Microservices are a great way to segment your application into well-defined, self-contained units of functionality. Come join us in this chalk talk as we discuss two common architectures for deploying microservices: containers and serverless. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.

Knolx Session - Deploy ECR Image on AWS ECS Fargate using Terraform

Knoldus Inc.

Structured Container Delivery by Oscar Renalias, Accenture

Docker, Inc.

With tools like Docker Toolbox, the entry barrier to Docker and containers is rather low. However, it takes a lot more to design, build and run an entire container platform, at scale, for production applications. This talk will focus on why it is important to have a well-defined reference model for building container platforms that guides container engineers and architects through the process of identifying platform concerns, patterns, components as well as the interactions between them in order to deliver a set of platform capabilities (service discovery, load balancing, security, and others) to support containerized applications using existing tooling. As part of this session will also see how a container architecture has enabled real projects in their delivery of container platforms.

Gautam.pptx

Prakash498818

AppRunner DeepDive

Dhaval Nagar

Building internal developer platform with EKS and GitOps

Weaveworks

An internal developer platform (IDP) is a set of standardized tools and technologies that enables development teams to self-service, offering convenient access to resources they need to create and deploy compliant code. The ultimate goal is to facilitate automation, autonomy and productivity across large teams. However, creating an IDP is highly complex, especially when bridging hybrid scenarios. In fact, build timelines can take anywhere between one to two years! In this Techstrong Learning Experience, we will discuss how platform engineers can more efficiently build an IDP with Amazon EKS and Weave GitOps and accelerate cloud-native adoption while speeding up migration of existing applications to the cloud. Our experts will also introduce EKS Blueprints, a collection of infrastructure-as-code (IaC) modules like Terraform and AWS Cloud Development Kit (AWS CDK) that will help you configure and deploy consistent EKS clusters across on-premises and cloud. Key Takeaways: - Why you should build a self-service IDP - How to leverage EKS, GitOps and EKS Blueprints to build your IDP - A review of use cases and benefits of an IDP

Machine Learning Inference at the Edge

Amazon Web Services

Implementing zero trust in IBM Cloud Pak for Integration

Kim Clark

Architecting for cloud native requires a completely different perspective on security. The attack surface, and the potential attack vectors have completely changed. Most of the past assumptions around people, processes, infrastructure and more are no longer valid. You have to assume any vulnerability will be exploited, and trust no-one - whether external or internal. You have to look at threat modelling to inform and prioritize the approach, and implement security based on defense in depth. This deck and webinar explore what steps we have taken to implement a "Zero Trust" model when we re-architected the integration portfolio to create what is now Cloud Pak for Integration, and how customers can build upon these in their own integration solutions.

Deploy PyTorch models in Production on AWS with TorchServe

Suman Debnath

AWS Community Day Bay Area 2020- Intelligent Scalable and Serverless Real-tim...

Yogesh Sharma

The state of containers for your DevOps journey

Agile Montréal

Containers, Containers, Containers! We are hearing about Containers everywhere, what are their key concepts? Why could they simplify your DevOps journey? What are the tools to help you with Containers and orchestratethem? What’s the road ahead with Containers? Let’s talk about that! Through this presentation you will see also how the Cloud and the Open Source tools and communities are driving this Containers adoption. This presentation will be illustrated by demonstrations. Mathieu Benoit

AWS Community Day - Vitaliy Shtym - Pragmatic Container Security

AWS Chicago

Using Containers and Serverless to Deploy Microservices

Amazon Web Services

AKOREDE AGBOMEJ1 RESUME .pdf

Akorede Agbomeji

Machine Learning Inference at the Edge

Julien SIMON

Machine Learning works by using powerful algorithms to discover patterns in data and construct complex mathematical models using these patterns. Once the model is built, you perform inference by applying new data to the trained model to make predictions for your application. Building and training ML models require massive computing resources so it is a natural fit for the cloud. But, inference takes a lot less computing power and is typically done in real-time when new data is available, so getting inference results with very low latency is important to making sure your applications can respond quickly to local events. AWS Greengrass ML inference gives you the best of both worlds. You use ML models that are built and trained in the cloud and you deploy and run ML inference locally on connected devices. For example, autonomous cars need to identify road signs in real time, drones need to recognize objects with or without network connectivity.

Similar to Implementing iam for (k8s) pods in aws (20)

DockerCon 2016 - Structured Container Delivery

Amazon ECS at Coursera: A unified execution framework while defending against...

(CMP406) Amazon ECS at Coursera: A general-purpose microservice

Intelligent serverless-streaming-pipeline-using-kinesis-fargate-cfn

Slide DevSecOps Microservices

Using Containers and Serverless to Deploy Microservices (ARC214) - AWS re:Inv...

Knolx Session - Deploy ECR Image on AWS ECS Fargate using Terraform

Structured Container Delivery by Oscar Renalias, Accenture

Gautam.pptx

AppRunner DeepDive

Building internal developer platform with EKS and GitOps

Machine Learning Inference at the Edge

Implementing zero trust in IBM Cloud Pak for Integration

Deploy PyTorch models in Production on AWS with TorchServe

AWS Community Day Bay Area 2020- Intelligent Scalable and Serverless Real-tim...

The state of containers for your DevOps journey

AWS Community Day - Vitaliy Shtym - Pragmatic Container Security

Using Containers and Serverless to Deploy Microservices

AKOREDE AGBOMEJ1 RESUME .pdf

Machine Learning Inference at the Edge

Recently uploaded

Vitthal Shirke Java Microservices Resume.pdf

Vitthal Shirke

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

Globus

Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.

GraphSummit Paris - The art of the possible with Graph Technology

Neo4j

Vitthal Shirke Microservices Resume Montevideo

Vitthal Shirke

Top 7 Unique WhatsApp API Benefits | Saudi Arabia

Yara Milbes

Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience. In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.

OpenMetadata Community Meeting - 5th June 2024

OpenMetadata

The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features. * How to run your own data quality framework * What is the performance impact of running data quality frameworks * How to run the test cases in your own ETL pipelines * How the Incident Manager is integrated * Get notified with alerts when test cases fail Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E

Orion Context Broker introduction 20240604

Fermin Galan

Developing Distributed High-performance Computing Capabilities of an Open Sci...

Globus

COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.

Prosigns: Transforming Business with Tailored Technology Solutions

Prosigns

Unlocking Business Potential: Tailored Technology Solutions by Prosigns Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support. Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth. Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices. AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making. Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency. DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration. Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly. Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business. Join us on a journey of innovation and growth. Let's partner for success with Prosigns.

Cracking the code review at SpringIO 2024

Paco van Beckhoven

Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production. Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process? In this session we will cover: - The Art of Effective Code Reviews - Streamlining the Review Process - Elevating Reviews with Automated Tools By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces

Enterprise Resource Planning System in Telangana

NYGGS Automation Suite

Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics. To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/

Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better

XfilesPro

How to Position Your Globus Data Portal for Success Ten Good Practices

Globus

Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.

Globus Compute wth IRI Workflows - GlobusWorld 2024

Globus

As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.

Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf

timtebeek1

Introducing Crescat - Event Management Software for Venues, Festivals and Eve...

Crescat

Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry. Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events. With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use. Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements. If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io

Atelier - Innover avec l’IA Générative et les graphes de connaissances

Neo4j

Atelier - Innover avec l’IA Générative et les graphes de connaissances Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement. Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.

Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx

ShamsuddeenMuhammadA

May Marketo Masterclass, London MUG May 22 2024.pdf

Adele Miller

AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App

Google

AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App 👉👉 Click Here To Get More Info 👇👇 https://sumonreview.com/ai-fusion-buddy-review AI Fusion Buddy Review: Key Features ✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini ✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique! ✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs! ✅Fully automated AI articles bulk generation! ✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more. ✅With one keyword or URL, generate complete websites, landing pages, and more… ✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7. ✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches. ✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all! ✅Save over $5000 per year and kick out dependency on third parties completely! ✅Brand New App: Not available anywhere else! ✅ Beginner-friendly! ✅ZERO upfront cost or any extra expenses ✅Risk-Free: 30-Day Money-Back Guarantee! ✅Commercial License included! See My Other Reviews Article: (1) AI Genie Review: https://sumonreview.com/ai-genie-review (2) SocioWave Review: https://sumonreview.com/sociowave-review (3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review (4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review #AIFusionBuddyReview, #AIFusionBuddyFeatures, #AIFusionBuddyPricing, #AIFusionBuddyProsandCons, #AIFusionBuddyTutorial, #AIFusionBuddyUserExperience #AIFusionBuddyforBeginners, #AIFusionBuddyBenefits, #AIFusionBuddyComparison, #AIFusionBuddyInstallation, #AIFusionBuddyRefundPolicy, #AIFusionBuddyDemo, #AIFusionBuddyMaintenanceFees, #AIFusionBuddyNewbieFriendly, #WhatIsAIFusionBuddy?, #HowDoesAIFusionBuddyWorks

Recently uploaded (20)

Vitthal Shirke Java Microservices Resume.pdf

Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...

GraphSummit Paris - The art of the possible with Graph Technology

Vitthal Shirke Microservices Resume Montevideo

Top 7 Unique WhatsApp API Benefits | Saudi Arabia

OpenMetadata Community Meeting - 5th June 2024

Orion Context Broker introduction 20240604

Developing Distributed High-performance Computing Capabilities of an Open Sci...

Prosigns: Transforming Business with Tailored Technology Solutions

Cracking the code review at SpringIO 2024

Enterprise Resource Planning System in Telangana

Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better

How to Position Your Globus Data Portal for Success Ten Good Practices

Globus Compute wth IRI Workflows - GlobusWorld 2024

Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf

Introducing Crescat - Event Management Software for Venues, Festivals and Eve...

Atelier - Innover avec l’IA Générative et les graphes de connaissances

Text-Summarization-of-Breaking-News-Using-Fine-tuning-BART-Model.pptx

May Marketo Masterclass, London MUG May 22 2024.pdf

AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App