This document discusses AWS EC2 Spot Instances, which provide spare computing capacity on AWS at steep discounts compared to on-demand pricing. Spot Instances allow bidding on unused EC2 capacity and will remain running as long as the bid exceeds the current Spot price. The document outlines how Spot Instance pricing is determined by supply and demand, and how Spot Instances can be interrupted if prices rise. It also introduces Batchly, a service that automates provisioning of Spot Instances to optimize costs for batch jobs and data processing workloads.
Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!
Batchly enables both internet and traditional enterprises to automatically benefit from AWS cost and usage savings by optimizing workloads with spot instances (even existing RI’s) and EC2 smart sizing. No matter what you use AWS for, Batchly helps you to reduce your cost (by up to 90%) in a frictionless manner.
EC2 Pricing Model (deck 0307 of the InfiniteSkills AWS course at http://bit.l...rICh morrow
More clearly explains On Demand, Reserved, and Spot instances. Part of a much larger, 5+ hour course at http://bit.ly/learn-aws/ (this is deck 0307 of the course). NOTE: Some info is outdated in here.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
Amazon provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It is well-suited for applications ranging from static websites to high performance supercomputing, and is available with flexible pricing options. This session covers the latest EC2 features and capabilities including new instance families, differences between hardware types and capabilities, and use cases.
Azure and/or AWS: How to Choose the best cloud platform for your projectEastBanc Tachnologies
Published on October 10, 2016
Author: Natalia Tsymbalenko www.eastbanctech.com
In today’s cloud era, DevOps, Software Architects, and IT managers either move towards the cloud or consider optimizing their existing cloud solutions. Meanwhile, the cloud provider market is heating up. As all clouds are not created equal, it’s becoming increasingly challenging to choose the best provider for a particular project. So how do you choose the best cloud for your needs?
This workshop helps you choose the best cloud platform for your project. As a platform-agnostic company, we share with you:
• How we evaluate cloud providers for our customers,
• Cloud provider comparisons and results case studies.
Batchly is completely built on Amazon Web Services architecture and provides direct support and integration with S3, SQS, RDS and Lambda services. We are also working on building Docker (https://www.docker.com/) support to enable multi cloud environment support and did we mention about in-built support for AWS SPOT instances that can bring down processing costs by as much as 90%!
Batchly enables both internet and traditional enterprises to automatically benefit from AWS cost and usage savings by optimizing workloads with spot instances (even existing RI’s) and EC2 smart sizing. No matter what you use AWS for, Batchly helps you to reduce your cost (by up to 90%) in a frictionless manner.
EC2 Pricing Model (deck 0307 of the InfiniteSkills AWS course at http://bit.l...rICh morrow
More clearly explains On Demand, Reserved, and Spot instances. Part of a much larger, 5+ hour course at http://bit.ly/learn-aws/ (this is deck 0307 of the course). NOTE: Some info is outdated in here.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
Amazon provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It is well-suited for applications ranging from static websites to high performance supercomputing, and is available with flexible pricing options. This session covers the latest EC2 features and capabilities including new instance families, differences between hardware types and capabilities, and use cases.
Azure and/or AWS: How to Choose the best cloud platform for your projectEastBanc Tachnologies
Published on October 10, 2016
Author: Natalia Tsymbalenko www.eastbanctech.com
In today’s cloud era, DevOps, Software Architects, and IT managers either move towards the cloud or consider optimizing their existing cloud solutions. Meanwhile, the cloud provider market is heating up. As all clouds are not created equal, it’s becoming increasingly challenging to choose the best provider for a particular project. So how do you choose the best cloud for your needs?
This workshop helps you choose the best cloud platform for your project. As a platform-agnostic company, we share with you:
• How we evaluate cloud providers for our customers,
• Cloud provider comparisons and results case studies.
Batchly - Cloud scale job scheduler that abstracts AWS cloud management complexities and enables businesses to easily run their data processing/ batch jobs for significant time and cost savings.
Azure Batch - Azure Batch makes it easy to run large-scale parallel and HPC workloads in Azure. Use Batch to scale-out parallel workloads, manage the execution of tasks in a queue, and enable applications to offload compute jobs in the cloud.
AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security. Lambda runs your code on high-availability compute infrastructure and performs all the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code and security patch deployment, and code monitoring and logging. All you need to do is supply the code.
Presented by: Julien Simon, Principal Technical Evangelist, Amazon Web Services
(SDD420) Amazon WorkSpaces: Advanced Topics and Deep Dive | AWS re:Invent 2014Amazon Web Services
Amazon WorkSpaces is an enterprise desktop computing service in the cloud. In this session, we dive deep into configuration, administration, and advanced networking topics for WorkSpaces. We also discuss integration of WorkSpaces to your corporate active directory and best practices for enabling your WorkSpaces to access resources on your corporate intranet.
AWS vs Azure | Difference Between Microsoft Azure and Amazon AWS | AWS Traini...Edureka!
This AWS vs Azure tutorial shall discuss the differences between AWS and Azure. It can be helpful for people who are trying to migrate to and from AWS and Azure. Towards the end, we will be launching instances in both AWS and Azure environment. This tutorial is ideal for those who want to become the master of all trades in the cloud computing world!
In this AWS vs Azure tutorial you will understand:
1. Cloud Providers
2. AWS vs Azure
3. Job Trends
4. Who wins?
5. Demo
#awsvsazure #awscertification #awstraining #awssolutionsarchitect
A few tips to run your production load on spot instances.
references:
Running your stack on Spot Instance
https://blog.frugalops.com/running-stack-spot-instance/
Spot Fleet + AutoScaling and High Availability
https://blog.frugalops.com/cost-optimization-spot-fleet-autoscaling/
Spot Instance 2 minutes termination
https://blog.frugalops.com/spot-instance-2-minutes-termination/
Code Example:
CloudFormation
https://github.com/ryohang/blog-demo-container
2 minutes termination
https://gist.github.com/ryohang/bad41208454aca9c861e3b1d12288c86
How To Create instances in AWS EC2 | EdurekaEdureka!
YouTube Link: https://youtu.be/FXvlq89Ph_4
**AWS Certification Training: https://www.edureka.co/cloudcomputing **
This Edureka Live session on ‘Instances In AWS’ will give a complete walkthrough of AWS EC2 service and tell you how instances work in AWS.
This Live Session will focus on pointers like:
· What Is An Instance?
· AWS EC2 Service
· Types Of EC2 instances
· Instance Pricing Models
· Use case
· Demo: AWS EC2 Walk-through
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Adobe decided to use Amazon Web Services as their Platform of Choice. This presentation discusses the details. Mitch Nelson, Director of Managed Services presented at the AWS Enterprise Tour - SF - 2010
Amazon Web Services has launched many enhancements, price reductions, updates, features to existing products in July 2013 out of which the major was "New edge locations for AWS in India (Mumbai and Chennai)". You can get a brief description of these in attached document.
Customer Case Study Containerised Bioinformatics on AWS How we Achieved 20x l...Amazon Web Services
The Garvan Institute of Medical Research and Genome.One undertook a joint pilot project with AWS to optimise and customise our genomic analysis. We have run over 4,500 genomes through a new genomic pipeline, developed to the Broad Institute Best Practices leveraging Amazon’s ECS, SQS, RDS, CloudFormation, CloudWatch and Spot Instances to optimise specifically for the cloud. This session will present our architecture, learnings, and the cost reductions we’ve achieved.
Speaker: Dr. Liviu Constantinescu, DevOps Team Lead, Genome.One
Level: 300
Batchly - Cloud scale job scheduler that abstracts AWS cloud management complexities and enables businesses to easily run their data processing/ batch jobs for significant time and cost savings.
Azure Batch - Azure Batch makes it easy to run large-scale parallel and HPC workloads in Azure. Use Batch to scale-out parallel workloads, manage the execution of tasks in a queue, and enable applications to offload compute jobs in the cloud.
AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security. Lambda runs your code on high-availability compute infrastructure and performs all the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code and security patch deployment, and code monitoring and logging. All you need to do is supply the code.
Presented by: Julien Simon, Principal Technical Evangelist, Amazon Web Services
(SDD420) Amazon WorkSpaces: Advanced Topics and Deep Dive | AWS re:Invent 2014Amazon Web Services
Amazon WorkSpaces is an enterprise desktop computing service in the cloud. In this session, we dive deep into configuration, administration, and advanced networking topics for WorkSpaces. We also discuss integration of WorkSpaces to your corporate active directory and best practices for enabling your WorkSpaces to access resources on your corporate intranet.
AWS vs Azure | Difference Between Microsoft Azure and Amazon AWS | AWS Traini...Edureka!
This AWS vs Azure tutorial shall discuss the differences between AWS and Azure. It can be helpful for people who are trying to migrate to and from AWS and Azure. Towards the end, we will be launching instances in both AWS and Azure environment. This tutorial is ideal for those who want to become the master of all trades in the cloud computing world!
In this AWS vs Azure tutorial you will understand:
1. Cloud Providers
2. AWS vs Azure
3. Job Trends
4. Who wins?
5. Demo
#awsvsazure #awscertification #awstraining #awssolutionsarchitect
A few tips to run your production load on spot instances.
references:
Running your stack on Spot Instance
https://blog.frugalops.com/running-stack-spot-instance/
Spot Fleet + AutoScaling and High Availability
https://blog.frugalops.com/cost-optimization-spot-fleet-autoscaling/
Spot Instance 2 minutes termination
https://blog.frugalops.com/spot-instance-2-minutes-termination/
Code Example:
CloudFormation
https://github.com/ryohang/blog-demo-container
2 minutes termination
https://gist.github.com/ryohang/bad41208454aca9c861e3b1d12288c86
How To Create instances in AWS EC2 | EdurekaEdureka!
YouTube Link: https://youtu.be/FXvlq89Ph_4
**AWS Certification Training: https://www.edureka.co/cloudcomputing **
This Edureka Live session on ‘Instances In AWS’ will give a complete walkthrough of AWS EC2 service and tell you how instances work in AWS.
This Live Session will focus on pointers like:
· What Is An Instance?
· AWS EC2 Service
· Types Of EC2 instances
· Instance Pricing Models
· Use case
· Demo: AWS EC2 Walk-through
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Adobe decided to use Amazon Web Services as their Platform of Choice. This presentation discusses the details. Mitch Nelson, Director of Managed Services presented at the AWS Enterprise Tour - SF - 2010
Amazon Web Services has launched many enhancements, price reductions, updates, features to existing products in July 2013 out of which the major was "New edge locations for AWS in India (Mumbai and Chennai)". You can get a brief description of these in attached document.
Customer Case Study Containerised Bioinformatics on AWS How we Achieved 20x l...Amazon Web Services
The Garvan Institute of Medical Research and Genome.One undertook a joint pilot project with AWS to optimise and customise our genomic analysis. We have run over 4,500 genomes through a new genomic pipeline, developed to the Broad Institute Best Practices leveraging Amazon’s ECS, SQS, RDS, CloudFormation, CloudWatch and Spot Instances to optimise specifically for the cloud. This session will present our architecture, learnings, and the cost reductions we’ve achieved.
Speaker: Dr. Liviu Constantinescu, DevOps Team Lead, Genome.One
Level: 300
Addison Snell from Intersect360 Research presented this deck at the Stanford HPC Conference.
"Intersect360 Research returns with an annual deep dive into the trends, technologies and usage models that will be propelling the HPC community through 2017 and beyond. Emerging areas of focus and opportunities to expand will be explored along with insightful observations needed to support measurably positive decision making within your operations."
Watch the video: http://wp.me/p3RLHQ-gnJ
Learn more: http://intersect360research.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
(CMP311) This One Weird API Request Will Save You ThousandsAmazon Web Services
"Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.
In this session, we dive into best practices and new features that will help you realize immediate cost savings, maximize compute capacity within your budget, and maintain application availability and performance with less up-front or ongoing development effort. Attendees leave with practical knowledge of Spot bidding strategies, market trends, instance selection and benchmarking, and fault-tolerant architecture with examples taken from common Spot use cases such as web services, big data/analytics, media processing, and continuous integration workloads."
Coding Apps in the Cloud to reduce costs up to 90% - September 2016 Webinar S...Amazon Web Services
Think differently when building apps in the cloud: heterogeneous environments, microservices, and disposable nodes are key components to building robust, deployment, and automated server management.
In this session, we will investigate patterns for engineering scalable stateless systems, indentifying anti-patterns to avoid, and show how you can save 90% on your overall compute costs. When engineered for cloud, you will never worry about the uptime of a node again.
We will dive into best practices and new features that will help you realize immediate cost savings, maximize compute capacity within your budget, and maintain application availability and performance with less up-front and ongoing development effort. Attendees leave with practical knowledge of Spot bidding strategies, Spot market price trends, instance selection, and fault-tolerant architectures for web services.
Learning Objectives:
• Learn more about EC2 Spot and how you can use it to save 90% off your EC2 bill
• Learn how to effective use Spot in production workloads by incorporating new Auto Scaling features
• Learn best practices on bidding and choosing Spot instances
Who Should Attend:
• Customers who are familiar with Amazon EC2, or customers who want to understand how they can use Spot to run applications in the cloud.
Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session,you will learn best practices on how to scale big data workloads as well as process, store, and analyze big data securely and cost effectively. Lunch will be provided.
AWS re:Invent 2016: Save up to 90% and Run Production Workloads on Spot - Fea...Amazon Web Services
Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.
In this session, we dive into how customers who have designed scalable, cloud friendly application architectures can leverage new Spot features to realize immediate cost savings while maintaining availability. Attendees will leave with practical knowledge of how, via well architected applications, they can run production services on the Spot instances just like IFTTT and Mapbox.
Overview and best practices in using AWS EC2 Spot Instances
Presented by Chakra Nagarajan Specialist Solutions Architect – EC2 Spot at the November 2018 AWSUGBLR Meetup
Our company went from $230K down to $25K. This was done by taking planned steps towards cost reduction, it wasn't an accident. More importantly, we did this without loss of functionality.
Getting Started with EC2 Spot - November 2016 Webinar SeriesAmazon Web Services
Amazon EC2 Spot instances are spare EC2 instances that you can bid on to run your cloud computing applications. Since Spot instances are often available at a lower price, you can significantly reduce the cost of running your applications, grow your application’s compute capacity and throughput for the same budget, and enable new types of cloud computing applications.
Learn how to launch a fleet of EC2 Spot instances in minutes to run your applications for less than 1 cent per core.
Learning Objectives:
* How Spot works
* Spot Best Practices
* How you can automate your fleet management
* Spot blocks for 1-6 hr tasks
* Get started in minutes with the new Spot console
Cloudreach Voices EC2 Making Sense of the Cost Options Cloudreach
The next instalment of our slide deck series, inspired by our thought leadership blog posts about the cloud. You can find the original posts on our website. This deck, written by one of our Cloud Leaders, Pete Cridland, covers Amazon EC2 Instances, and explores the cost options available to you as well as tips for optimising your usage.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
If you are new to Spot Instances and would like to take advantage of the cost savings, test/dev is a great place to start. Load, integration, canary, and security testing benefit from the elasticity and price savings associated with Spot Instances. In this session, learn how to run an enterprise test/dev workload on Amazon EC2 Spot Instances. Also learn how to use the Fleet API to diversify and use different instance pools. Finally, learn some tips and tricks for minimizing the impact of interruptions.
AWS has different pricing models to match your needs. One example is the different instance types available such as On-Demand, Reserved and Spot Instances. Customers can develop cost-saving strategies based upon their usage patterns, models and growth expectations. In some cases, a set of larger instances can be cheaper than multiple small instances. Learn how to size your AWS applications to maximize your use and minimize your spend. Companies such as Pinterest take very active roles to constantly reduce their spend; learn how they do it and develop your own cost-saving approaches.
Running Amazon EKS Workloads on Amazon EC2 Spot Instances (CMP403-R1) - AWS r...Amazon Web Services
Containers are usually stateless and fault tolerant, and Amazon EC2 Spot Instances are a great match for powering your Amazon EC2 compute for these workloads. In this workshop, you learn how to provision, manage, and maintain your Amazon Kubernetes clusters with Amazon EKS at any scale on Spot Instances to architect for optimizations on cost and scale. We dive deep using hands-on material to provision and scale worker nodes, handle interruptions, and design for fault tolerance. We also demonstrate successfully managing a suddenly spiky workload. This workshop helps architects, engineers, and developers understand how to run a containerized environment on Spot Instances. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
AWS re:Invent 2016: Searching Inside Video at Petabyte Scale Using Spot (WIN307)Amazon Web Services
Video is a "last-mile problem" for search technology. Unlike webpages, documents, and email, content in videos has traditionally been impossible to search. Recent advances in automated speech and text recognition, however, let businesses and universities search inside video assets as easily as inside textual content. In this session, you'll learn how Panopto is using AWS to solve the video-search problem at scale, while saving over 50% in operating costs by taking advantage of Spot instances. We discuss the cross-platform architecture that combines Windows and Linux to provide cost-effective video processing and search indexing. We also dive deep into scaling Spot elastically based on user demand, handling fallback situations when instances are revoked, and using the Spot bidding process to optimize cost structure. Finally, we discuss future plans to reduce operating costs even further through Spot fleets and grid processing.
Similar to An introduction to Spot Instances and AWS Fleet - Webinar (20)
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
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.
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.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
4. AWS EC2 Instances (SI)
Bid for unused EC2 capacity
The hourly price for a SI (of each instance type in each Availability Zone) is
set by Amazon EC2
Hourly price fluctuates depending on the supply of and demand of SI
SI runs whenever your bid exceeds the current market price.
SI might not start immediately
AWS might terminate SI as hourly price or availability changes. Partial hours
are not charged.
5. AWS EC2 Instance Life Cycle
Bid Price
Instance Count
Launch Specification: AMI Id,
Availability zone, Keypair, Security
Group VPC, SubnetID
Type: One Time / Persistent
ValidFrom , ValidUntil
Create
Request
Request
Launch
Instances
Interrupt
(Spot Termination)
One-TimeRequest
Failed
Interrupt
(Persistent)
Spot Instance requests
can be created with AWS
SDK’s, from management
console and AWS clients.
6. AWS EC2 Instance Request States
open—The request is waiting to be fulfilled.
active—The request is fulfilled and has an associated Spot Instance.
failed—The request has one or more bad parameters.
closed—The Spot Instance was interrupted or terminated.
canceled—You canceled the request, or the request expired.
8. EC2 Spot Instance Termination Notices
If current spot price > bid price, the Spot instance is reclaimed
by AWS.
2 minutes before the spot instance is reclaimed the instance
state is set to marked-for-termination.
Applications / scripts can poll the instance metadata or APIs to
check for this notice and save its state, upload final log files, or
remove itself from an Elastic Load Balancer.
9. EC2 Spot Fleet Request
If current spot price > bid price, the Spot instance is reclaimed
by AWS.
2 minutes before the spot instance is reclaimed the instance
state is set to marked-for-termination.
Applications / scripts can poll the instance metadata or APIs to
check for this notice and save its state, upload final log files, or
remove itself from an Elastic Load Balancer.
10. EC2 Spot Fleet Request
Spot fleet request includes:
Target Capacity
One or more launch specification for the instances
Launch specification includes – AMI Id, instance type,
subnet, AZ, security group and keypair name.
Maximum price per instance hour (bid price)
11. Spot Fleet Request State
A Spot fleet request can be in one of the following states:
Submitted —The Spot fleet request is being evaluated and Amazon EC2 is preparing to launch
the target number of Spot Instances.
Active —The Spot fleet has been validated and Amazon EC2 is attempting to maintain the target
number of running Spot Instances.
cancelled-running —The Spot fleet is canceled and will not launch additional Spot Instances, but
its existing Spot Instances will continue to run until they are interrupted or terminated. This is
the default behavior when canceling a Spot fleet.
cancelled-terminating —The Spot fleet is canceled and its Spot Instances are terminating. This
is an option when canceling a Spot fleet.
Cancelled —The Spot fleet is canceled and has no running Spot Instances. The Spot fleet will be
deleted two days after its instances were terminated.
14. Prepare for Spot Interruptions
Choose a reasonable bid price
Ensure the AMI contains all required software, so that
you can start quickly.
Sync important data to a persistent location (EBS / S3)
Divide the work into smaller chunks or have
checkpoints to save work frequently.
15. EC2 Spot Instance Termination Notices
Poll instance meta-data every 5 seconds with the following command
if curl -s http://169.254.169.254/latest/meta-data/spot/termination-time | grep -q .*T.*Z;
then echo ‘notified for termination”; fi
If your Spot Instance is marked for termination by the Spot service, the
termination-time item is present (2015-05-02T 01:00:00Z)
the termination-time item is either not present (so you receive an
HTTP 404 error) or contains a value that is not a time value.
17. Companies Benefiting From Spot
Mozilla saved over 15x times in 8 months by optimizing their AWS
infrastructure for their continuous integration needs.
Vimeo saves over 50% in cloud costs by making intelligent use of AWS
Spot Instances for video encoding workloads
Pharma company used 10,600 AWS EC2 SPOT instances to complete
a 341K hour workload in 11 hours
18. Batchly is a service that fully
automates cloud infrastructure
provisioning and management for
enterprise data processing
19. How does it work?
Large Scale Processing
Document Digitization
Bill Generation
Video Transcoding
Image Formatting
Log Analysis
Document Archival
Custom Batch / MapReduce
Jobs
Configuration
Monitoring
Upload Code
Define SLA
Run Job
Batchly
Delegated Trust
Automation
Amazon Web Services
Storage Queue Database
Notifications CloudWatch Email
EC2 Spot Instance
20. Continuous Learning Algorithm *
Standard Rank
Price Rank
Run Instances
Metrics
• Throughput
• Utilization
System Parameters
• Spot Price
• Availability
Market Parameters
* Patent Pending
21. Batchly: What it does
Abstracts cloud complexity
Uses your existing batch /MR jobs and data processing libraries
Runs the job in cloud at a cost and time you define (User
Defined SLA)
Automatically uses AWS Spot Instances for significant savings
Provides an easy way to report the savings to Management
24. You Specify Your
Desired Cost Or Time
For Your Batchly Job
Your Data Stays
Secure In Your Cloud
Storage And Accessed
Only Within Your Code.Optimizes
Resources &
Utilization
Provisions &
Runs The
Correct AWS
Resources
Continuously
Improves
Allocation &
Utilization
25. Upload Code
Define SLA
Run Job
Batchly
Enterprise Data
Processing
Batchly – Single Interface for Data Processing Across Cloud Platforms
100% Support in place