NZCS Cloud Computing Presentation
•Download as PPT, PDF•
2 likes•466 views
The document discusses various cloud computing platforms and services and their suitability for different needs. It addresses common concerns about infrastructure, security, scalability and provides examples of how platforms like Salesforce, Google App Engine, Heroku, Amazon EC2 and Rackspace address these issues and provide reliable, scalable and cost-effective hosting solutions without the need to manage infrastructure. The conclusion emphasizes doing research to find the right cloud solution based on individual needs and workloads.
Report
Share
Report
Share
![Who am I? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
2018 09 26 CTT .NET User Group - Introduction to Machine Learning.Net and Win...
Slides used during the session [Getting Started with Machine Learning .Net and Windows Machine Learning [ML.Net & WinML]] on Kitchener Ontario, on 26 Sept 2018 for the Canada's Technology Triangle .Net User Group
Accelerate your Machine Learning workflows with Amazon SageMaker
Amazon SageMaker is an end-to-end machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides pre-built machine learning algorithms, tools for hyperparameter tuning, and deployment of models without additional engineering effort. SageMaker aims to make machine learning workflows easier by handling setup, scaling resources for training, and hosting models.
Amazon SageMaker workshop
This document provides an overview of Amazon SageMaker, a fully-managed machine learning platform. It describes the machine learning workflow from problem framing to model deployment and monitoring. SageMaker allows users to build, train, and deploy machine learning models using pre-built algorithms, frameworks like TensorFlow and MXNet, or custom containers. Models can be trained and hosted at scale using SageMaker's notebooks, training jobs, and inference endpoints. Examples and resources for using SageMaker are also provided.
Making AI FaaSt - QCon SF 2018
Bring AI and Serverless together and you create a new world in which what you thought you know about software may need to be adjusted. Developers transition from “micro-managers” - telling computers what to do step by step, into “teachers” - assisting computers in learning. The code alone is not enough anymore; if the past decades were spent producing tools to handle the code better, now there’s something more abstract than code, shaped in a human-unfriendly language, called “model”, which is entangled with the code. How does this impact developer experience? Is it easy to manage? Can serverless architectures improve it?
This presentation will walk you through a demo AI app built with serverless, composing multiple AI functions into one workflow. The functions will be deployed into a FaaS platform powered by Apache OpenWhisk - the most popular open source serverless platform. You’ll learn about FaaS architectures, open source technologies, as well as areas where serverless streamlines the experience for developers. We'll try to answer the question: is AI development FaaSter with serverless?
If you want to learn about emerging technologies enhancing developer experience, or if you’re passionate about AI applications, then this presentation is for you.
Cloud computing
This Was my first Presentation in the first semester .. IN the course Of "Introduction To COmputers!!"
AWS Summit 2013 | India - Running Lean with Optimized Architecture, Pieter Kemps
Once you are at scale, it is even more important to focus on costs and run lean on AWS. This talk with explain the various purchasing models available, and will then address how to size your application for AWS. We will take you through various architectural best practices, such as auto-scaling, caching etc. to save costs and run lean by making the best decisions.
Machine Learning: From Notebook to Production with Amazon Sagemaker (January ...
The document discusses Amazon SageMaker, a fully managed machine learning platform. It provides an overview of the machine learning workflow from data collection and processing to model training, evaluation, deployment and monitoring. SageMaker allows users to build, train and deploy machine learning models using pre-built algorithms, bringing their own training code, or custom algorithms. It offers a scalable, flexible and cost-effective environment for developing and hosting machine learning models.
Aws certification
This document provides an overview of an AWS certification training course for solutions architects. The course covers AWS terminology, concepts, services like S3 and EC2, security measures, storage and compute options, deployment and management techniques including load balancing and auto-scaling. Completing the course is expected to lead to an average salary of Rs. 6,09,553 per year for an AWS cloud administrator according to payscale.com. There is also a large demand for AWS cloud computing jobs given AWS' dominance in the cloud market with over 70% share. Contact details are provided for the training provider AppOnix based in Bangalore, India.
Recommended
2018 09 26 CTT .NET User Group - Introduction to Machine Learning.Net and Win...
Slides used during the session [Getting Started with Machine Learning .Net and Windows Machine Learning [ML.Net & WinML]] on Kitchener Ontario, on 26 Sept 2018 for the Canada's Technology Triangle .Net User Group
Accelerate your Machine Learning workflows with Amazon SageMaker
Amazon SageMaker is an end-to-end machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides pre-built machine learning algorithms, tools for hyperparameter tuning, and deployment of models without additional engineering effort. SageMaker aims to make machine learning workflows easier by handling setup, scaling resources for training, and hosting models.
Amazon SageMaker workshop
This document provides an overview of Amazon SageMaker, a fully-managed machine learning platform. It describes the machine learning workflow from problem framing to model deployment and monitoring. SageMaker allows users to build, train, and deploy machine learning models using pre-built algorithms, frameworks like TensorFlow and MXNet, or custom containers. Models can be trained and hosted at scale using SageMaker's notebooks, training jobs, and inference endpoints. Examples and resources for using SageMaker are also provided.
Making AI FaaSt - QCon SF 2018
Bring AI and Serverless together and you create a new world in which what you thought you know about software may need to be adjusted. Developers transition from “micro-managers” - telling computers what to do step by step, into “teachers” - assisting computers in learning. The code alone is not enough anymore; if the past decades were spent producing tools to handle the code better, now there’s something more abstract than code, shaped in a human-unfriendly language, called “model”, which is entangled with the code. How does this impact developer experience? Is it easy to manage? Can serverless architectures improve it?
This presentation will walk you through a demo AI app built with serverless, composing multiple AI functions into one workflow. The functions will be deployed into a FaaS platform powered by Apache OpenWhisk - the most popular open source serverless platform. You’ll learn about FaaS architectures, open source technologies, as well as areas where serverless streamlines the experience for developers. We'll try to answer the question: is AI development FaaSter with serverless?
If you want to learn about emerging technologies enhancing developer experience, or if you’re passionate about AI applications, then this presentation is for you.
Cloud computing
This Was my first Presentation in the first semester .. IN the course Of "Introduction To COmputers!!"
AWS Summit 2013 | India - Running Lean with Optimized Architecture, Pieter Kemps
Once you are at scale, it is even more important to focus on costs and run lean on AWS. This talk with explain the various purchasing models available, and will then address how to size your application for AWS. We will take you through various architectural best practices, such as auto-scaling, caching etc. to save costs and run lean by making the best decisions.
Machine Learning: From Notebook to Production with Amazon Sagemaker (January ...
The document discusses Amazon SageMaker, a fully managed machine learning platform. It provides an overview of the machine learning workflow from data collection and processing to model training, evaluation, deployment and monitoring. SageMaker allows users to build, train and deploy machine learning models using pre-built algorithms, bringing their own training code, or custom algorithms. It offers a scalable, flexible and cost-effective environment for developing and hosting machine learning models.
Aws certification
This document provides an overview of an AWS certification training course for solutions architects. The course covers AWS terminology, concepts, services like S3 and EC2, security measures, storage and compute options, deployment and management techniques including load balancing and auto-scaling. Completing the course is expected to lead to an average salary of Rs. 6,09,553 per year for an AWS cloud administrator according to payscale.com. There is also a large demand for AWS cloud computing jobs given AWS' dominance in the cloud market with over 70% share. Contact details are provided for the training provider AppOnix based in Bangalore, India.
Aws training banglore 1
Apponix has started providing AWS cloud training since 2014. All our trainers are working professionals with at least 10 years of experience in cloud technologies. Apponix provides AWS training in martahahlli, electronics city & BTM layout. We assure placement for all our AWS students. Getting a job in the AWS cloud is not a difficult task. If you study what is exactly required in a company then you can easily crack the interviews, our instructors will help you in getting placement.
The Future of AI (September 2019)
The document discusses best practices for AI/ML projects based on past failures to understand disruptive technologies. It recommends (1) setting clear expectations and metrics, (2) assessing skills needed, (3) choosing the right tools based on cost, time and accuracy tradeoffs, (4) using best practices like iterative development, and (5) repeating until gains become irrelevant before moving to the next project.
AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (Decem...
Mobileye adopted Amazon SageMaker to accelerate its deep learning model development, reducing time from months to under a week. Pipe Mode enabled training on Mobileye's large datasets without copying data to instances. Challenges like data format conversion and shuffling were addressed using SageMaker features and TensorFlow APIs. Adopting SageMaker provided Mobileye unlimited compute and helped simplify and scale its neural network training.
Build, train, and deploy ML models at scale.pdf
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
Building smart applications with AWS AI services (October 2019)
This document discusses Amazon Web Services (AWS) AI and machine learning services. It notes that 40% of digital transformation initiatives in 2019 will involve AI. It then highlights key aspects of AWS AI services, including that they have over 10,000 active customers, that 90% of the roadmap is defined by customer needs, and that there were over 200 new launches or updates in the previous year. It provides examples of various AI services available on AWS.
Speed up your Machine Learning workflows with build-in algorithms
Amazon SageMaker provides several machine learning algorithms and tools to help speed up workflows:
(1) It offers many pre-built machine learning algorithms like linear learner, factorization machines, and DeepAR for time series forecasting.
(2) These algorithms are highly optimized and can train models up to 10 times faster than alternatives.
(3) Amazon SageMaker also allows users to integrate their own algorithms or use open source tools like Apache Spark and MXNet.
Introduction to Machine learning and Deep Learning
Overview of Machine Learning and Deep Learning. Brief introduction to different types of BI Reporting tools like Power BI, SSMS, Cortana, Azure ML, TenserFlow and other tools.
Amazon2009 04 22 Amsterdam
The document is a presentation about Amazon Web Services (AWS) given by Simone Brunozzi, an AWS Technology Evangelist. The presentation introduces cloud computing and AWS, discusses various AWS services like S3, EC2, CloudFront, and use cases from startups, enterprises, and academics. It also outlines future plans for AWS and concludes by thanking the audience.
AWS Cloud Kata 2013 | Singapore - Welcome and Opening Remarks, Pieter Kemps
This document discusses how cloud computing on Amazon Web Services (AWS) has impacted startups and venture capital. It notes that AWS allows startups to focus on innovation rather than infrastructure, developing faster at lower costs. This has led to more experimentation and new companies. It also discusses how AWS has changed the venture capital model by enabling startups to scale more quickly with lower costs. As a result, VCs now see more deals, faster growth, and higher valuations from portfolio companies using AWS.
Cloud Computing Development Presentation
This document discusses cloud computing development patterns and open source technologies. It introduces common cloud models including IaaS, PaaS, and SaaS. Several design patterns are presented for scaling applications, handling multi-tenancy, batch processing, storage, and communication in the cloud. Additional development patterns cover failure handling, caching, elasticity, availability zones, automation, and limiting state. The document concludes by mentioning Amazon SimpleDB and SQS technologies.
Aws training banglore 7
This document provides information about an AWS certification training course in Bangalore, India. It outlines the course objectives which include understanding AWS terminology, services like S3, EC2, EBS, load balancing, auto-scaling, security measures. The 30-lesson syllabus covers various AWS topics ranging from storage, networking, security to services like DynamoDB, Lambda, API Gateway. The average salary for AWS cloud administrators is reported to be over 6 lakh per year. Students can avail 0% interest loans for job-oriented courses. There is high demand for AWS skills and jobs in Bangalore due to the large presence of IT companies and cloud technologies.
Aws training banglore 12
This document provides information about AWS cloud certification training offered in Bangalore, India. The training covers AWS concepts, services like S3, EC2, EBS, load balancing, auto-scaling, security, and troubleshooting. Students learn over 30 AWS topics throughout the 30-day course. With 10+ years of experience, the instructor holds demo classes weekly. Graduates can expect average salaries of Rs. 6.09 lakhs as an AWS cloud administrator, with 0% interest student loans available and high job demand in Bangalore's growing tech sector.
Aws training banglore 4
Apponix has started providing AWS cloud training since 2014. All our trainers are working professionals with at least 10 years of experience in cloud technologies. Apponix provides AWS training in martahahlli, electronics city & BTM layout. We assure placement for all our AWS students. Getting a job in the AWS cloud is not a difficult task. If you study what is exactly required in a company then you can easily crack the interviews, our instructors will help you in getting placement.
Aws cloud computing
This document discusses cloud computing and Amazon Web Services (AWS). It begins by comparing cloud computing to a trend in high school that many talk about but few truly understand or implement well. The document then covers what cloud computing is, traditional systems versus cloud, characteristics of cloud computing like scalability and virtualization, cloud architecture models, and AWS EC2 instances. It notes that while not physically in the sky, cloud computing utilizes real data centers, hardware, people, and infrastructure. The document explores security aspects of AWS and how AWS makes it easy to deploy, access, and terminate cloud computing resources. It concludes by suggesting that cloud computing will make giving advice, business operations, and travel less stressful.
AWS Machine Learning Week SF: Build, Train & Deploy ML Models Using SageMaker
AWS Machine Learning Week at the San Francisco Loft: Build, Train, and Deploy ML Models Using SageMaker
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.
Supriya reddy Azure Certification PPT
Azure Certification course slide sharing taught by Apponix Academy where people can join who are interested.So, wanna become pro then join fast ,get certified and grab the opportunities.All the best!
AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)
workshop @ AWS re:Invent 2019
Hyperparameter tuning
AutoML with Amazon SageMaker AutoPilot
code: https://gitlab.com/juliensimon/aim361
AWS Summit Melbourne 2014 | The Path to Business Agility for Vodafone: How Am...
As part of Vodafone Hutchison Australia (VHA)’s company-wide mission to win back customers, the VHA Digital Products division, with the help of DiUS, built a strategic internal agile development and innovation capability. By leveraging AWS, VHA now has the powerful ability to be more responsive, to experiment, fail-fast and in turn, to deliver an improved customer experience across all digital touchpoints.
We will share VHA’s journey so far by looking at the business objectives and diving into how people, process and technology made it happen:
Making a business case for AWS
Working within a complex technology landscape including legacy systems, COTS products as well as custom-built systems
The role AWS played in achieving change
Enabling daily deployments using Continuous Delivery and other practices and tools
What's next on VHA's agility roadmap
Presenters: Andy McCarthy, Digital Technology Manager, Vodafone Hutchison Australia, & Elliot Murry, Senior Consultant, DiUS
Hollywood asks "Are you ready for Cloud?"
This document promotes the services of 8Kmiles for moving business IT infrastructure to the cloud. It highlights key benefits of the cloud like limitless storage and compute power, on-demand performance, auto-scaling ability, pay-as-you-go pricing, fast content delivery, high uptime, and expert help with cloud consulting, migration, and engineering. Migrating to 8Kmiles' cloud services on AWS is positioned as providing businesses with peace of mind.
2018 04 20 Azure Global Bootcamp - Artificial Intelligence and Cognitive Serv...
Slides used on the 2018 Azure Global Bootcamp in my session on Artificial Intelligence and how to start using Azure Cognitive Services.
Jumpstart Azure
Introduction to Microsoft Azure. Covers the change to a cloud development paradigm. Motivations for the change, Pricing structures, and an exercise in IT portfolio evaluation.
Confoo-Montreal-2016: Controlling Your Environments using Infrastructure as Code
Slides from my talk at ConFoo Montreal, February 2016. A presentation on how to apply configuration management (CM) principles for your various environments, to control changes made to them. You apply CM on your code, why not on your environments content? This presentation will present the infrastructure as code principles using Chef and/or Ansible. Topics discussed include Continuous Integration, Continuous Delivery/Deployment principles, Infrastructure As Code and DevOps.
More Related Content
What's hot
Aws training banglore 1
Apponix has started providing AWS cloud training since 2014. All our trainers are working professionals with at least 10 years of experience in cloud technologies. Apponix provides AWS training in martahahlli, electronics city & BTM layout. We assure placement for all our AWS students. Getting a job in the AWS cloud is not a difficult task. If you study what is exactly required in a company then you can easily crack the interviews, our instructors will help you in getting placement.
The Future of AI (September 2019)
The document discusses best practices for AI/ML projects based on past failures to understand disruptive technologies. It recommends (1) setting clear expectations and metrics, (2) assessing skills needed, (3) choosing the right tools based on cost, time and accuracy tradeoffs, (4) using best practices like iterative development, and (5) repeating until gains become irrelevant before moving to the next project.
AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (Decem...
Mobileye adopted Amazon SageMaker to accelerate its deep learning model development, reducing time from months to under a week. Pipe Mode enabled training on Mobileye's large datasets without copying data to instances. Challenges like data format conversion and shuffling were addressed using SageMaker features and TensorFlow APIs. Adopting SageMaker provided Mobileye unlimited compute and helped simplify and scale its neural network training.
Build, train, and deploy ML models at scale.pdf
Amazon SageMaker is a fully-managed platform that lets developers and data scientists build and scale machine learning solutions. First, we'll show you how SageMaker Ground Truth helps you label large training datasets. Then, using Jupyter notebooks, we'll show you how to build, train and deploy models using built-in algorithms and frameworks (TensorFlow, Apache MXNet, etc). Finally, we'll show you how to use 3rd-party models from the AWS marketplace.
Building smart applications with AWS AI services (October 2019)
This document discusses Amazon Web Services (AWS) AI and machine learning services. It notes that 40% of digital transformation initiatives in 2019 will involve AI. It then highlights key aspects of AWS AI services, including that they have over 10,000 active customers, that 90% of the roadmap is defined by customer needs, and that there were over 200 new launches or updates in the previous year. It provides examples of various AI services available on AWS.
Speed up your Machine Learning workflows with build-in algorithms
Amazon SageMaker provides several machine learning algorithms and tools to help speed up workflows:
(1) It offers many pre-built machine learning algorithms like linear learner, factorization machines, and DeepAR for time series forecasting.
(2) These algorithms are highly optimized and can train models up to 10 times faster than alternatives.
(3) Amazon SageMaker also allows users to integrate their own algorithms or use open source tools like Apache Spark and MXNet.
Introduction to Machine learning and Deep Learning
Overview of Machine Learning and Deep Learning. Brief introduction to different types of BI Reporting tools like Power BI, SSMS, Cortana, Azure ML, TenserFlow and other tools.
Amazon2009 04 22 Amsterdam
The document is a presentation about Amazon Web Services (AWS) given by Simone Brunozzi, an AWS Technology Evangelist. The presentation introduces cloud computing and AWS, discusses various AWS services like S3, EC2, CloudFront, and use cases from startups, enterprises, and academics. It also outlines future plans for AWS and concludes by thanking the audience.
AWS Cloud Kata 2013 | Singapore - Welcome and Opening Remarks, Pieter Kemps
This document discusses how cloud computing on Amazon Web Services (AWS) has impacted startups and venture capital. It notes that AWS allows startups to focus on innovation rather than infrastructure, developing faster at lower costs. This has led to more experimentation and new companies. It also discusses how AWS has changed the venture capital model by enabling startups to scale more quickly with lower costs. As a result, VCs now see more deals, faster growth, and higher valuations from portfolio companies using AWS.
Cloud Computing Development Presentation
This document discusses cloud computing development patterns and open source technologies. It introduces common cloud models including IaaS, PaaS, and SaaS. Several design patterns are presented for scaling applications, handling multi-tenancy, batch processing, storage, and communication in the cloud. Additional development patterns cover failure handling, caching, elasticity, availability zones, automation, and limiting state. The document concludes by mentioning Amazon SimpleDB and SQS technologies.
Aws training banglore 7
This document provides information about an AWS certification training course in Bangalore, India. It outlines the course objectives which include understanding AWS terminology, services like S3, EC2, EBS, load balancing, auto-scaling, security measures. The 30-lesson syllabus covers various AWS topics ranging from storage, networking, security to services like DynamoDB, Lambda, API Gateway. The average salary for AWS cloud administrators is reported to be over 6 lakh per year. Students can avail 0% interest loans for job-oriented courses. There is high demand for AWS skills and jobs in Bangalore due to the large presence of IT companies and cloud technologies.
Aws training banglore 12
This document provides information about AWS cloud certification training offered in Bangalore, India. The training covers AWS concepts, services like S3, EC2, EBS, load balancing, auto-scaling, security, and troubleshooting. Students learn over 30 AWS topics throughout the 30-day course. With 10+ years of experience, the instructor holds demo classes weekly. Graduates can expect average salaries of Rs. 6.09 lakhs as an AWS cloud administrator, with 0% interest student loans available and high job demand in Bangalore's growing tech sector.
Aws training banglore 4
Apponix has started providing AWS cloud training since 2014. All our trainers are working professionals with at least 10 years of experience in cloud technologies. Apponix provides AWS training in martahahlli, electronics city & BTM layout. We assure placement for all our AWS students. Getting a job in the AWS cloud is not a difficult task. If you study what is exactly required in a company then you can easily crack the interviews, our instructors will help you in getting placement.
Aws cloud computing
This document discusses cloud computing and Amazon Web Services (AWS). It begins by comparing cloud computing to a trend in high school that many talk about but few truly understand or implement well. The document then covers what cloud computing is, traditional systems versus cloud, characteristics of cloud computing like scalability and virtualization, cloud architecture models, and AWS EC2 instances. It notes that while not physically in the sky, cloud computing utilizes real data centers, hardware, people, and infrastructure. The document explores security aspects of AWS and how AWS makes it easy to deploy, access, and terminate cloud computing resources. It concludes by suggesting that cloud computing will make giving advice, business operations, and travel less stressful.
AWS Machine Learning Week SF: Build, Train & Deploy ML Models Using SageMaker
AWS Machine Learning Week at the San Francisco Loft: Build, Train, and Deploy ML Models Using SageMaker
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.
Supriya reddy Azure Certification PPT
Azure Certification course slide sharing taught by Apponix Academy where people can join who are interested.So, wanna become pro then join fast ,get certified and grab the opportunities.All the best!
AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)
workshop @ AWS re:Invent 2019
Hyperparameter tuning
AutoML with Amazon SageMaker AutoPilot
code: https://gitlab.com/juliensimon/aim361
AWS Summit Melbourne 2014 | The Path to Business Agility for Vodafone: How Am...
As part of Vodafone Hutchison Australia (VHA)’s company-wide mission to win back customers, the VHA Digital Products division, with the help of DiUS, built a strategic internal agile development and innovation capability. By leveraging AWS, VHA now has the powerful ability to be more responsive, to experiment, fail-fast and in turn, to deliver an improved customer experience across all digital touchpoints.
We will share VHA’s journey so far by looking at the business objectives and diving into how people, process and technology made it happen:
Making a business case for AWS
Working within a complex technology landscape including legacy systems, COTS products as well as custom-built systems
The role AWS played in achieving change
Enabling daily deployments using Continuous Delivery and other practices and tools
What's next on VHA's agility roadmap
Presenters: Andy McCarthy, Digital Technology Manager, Vodafone Hutchison Australia, & Elliot Murry, Senior Consultant, DiUS
Hollywood asks "Are you ready for Cloud?"
This document promotes the services of 8Kmiles for moving business IT infrastructure to the cloud. It highlights key benefits of the cloud like limitless storage and compute power, on-demand performance, auto-scaling ability, pay-as-you-go pricing, fast content delivery, high uptime, and expert help with cloud consulting, migration, and engineering. Migrating to 8Kmiles' cloud services on AWS is positioned as providing businesses with peace of mind.
2018 04 20 Azure Global Bootcamp - Artificial Intelligence and Cognitive Serv...
Slides used on the 2018 Azure Global Bootcamp in my session on Artificial Intelligence and how to start using Azure Cognitive Services.
What's hot (20)
AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (Decem...
AIM410R Deep Learning Applications with TensorFlow, featuring Mobileye (Decem...
Building smart applications with AWS AI services (October 2019)
Building smart applications with AWS AI services (October 2019)
Speed up your Machine Learning workflows with build-in algorithms
Speed up your Machine Learning workflows with build-in algorithms
Introduction to Machine learning and Deep Learning
Introduction to Machine learning and Deep Learning
AWS Cloud Kata 2013 | Singapore - Welcome and Opening Remarks, Pieter Kemps
AWS Cloud Kata 2013 | Singapore - Welcome and Opening Remarks, Pieter Kemps
AWS Machine Learning Week SF: Build, Train & Deploy ML Models Using SageMaker
AWS Machine Learning Week SF: Build, Train & Deploy ML Models Using SageMaker
AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)
AIM361 Optimizing machine learning models with Amazon SageMaker (December 2019)
AWS Summit Melbourne 2014 | The Path to Business Agility for Vodafone: How Am...
AWS Summit Melbourne 2014 | The Path to Business Agility for Vodafone: How Am...
2018 04 20 Azure Global Bootcamp - Artificial Intelligence and Cognitive Serv...
2018 04 20 Azure Global Bootcamp - Artificial Intelligence and Cognitive Serv...
Similar to NZCS Cloud Computing Presentation
Jumpstart Azure
Introduction to Microsoft Azure. Covers the change to a cloud development paradigm. Motivations for the change, Pricing structures, and an exercise in IT portfolio evaluation.
Confoo-Montreal-2016: Controlling Your Environments using Infrastructure as Code
Slides from my talk at ConFoo Montreal, February 2016. A presentation on how to apply configuration management (CM) principles for your various environments, to control changes made to them. You apply CM on your code, why not on your environments content? This presentation will present the infrastructure as code principles using Chef and/or Ansible. Topics discussed include Continuous Integration, Continuous Delivery/Deployment principles, Infrastructure As Code and DevOps.
Rhys Jones, RBS, "Why The Cloud Is The Next Excel"
The document discusses how cloud computing platforms are making it easier for non-developers to build their own applications, which is becoming more prevalent as IT budgets shrink and demand for new applications grows. It argues that cloud platforms that abstract away complex infrastructure requirements could allow regular users to build full-featured applications with just a few hours of work. While fully featured applications still require specialist skills, cloud platforms are getting closer to enabling widespread application development outside of traditional IT departments.
Extending on premise applications to the cloud
Intechnica Technical Director Andy Still describes the process of using a cloud solution to extend on-premise applications to the cloud.
7 Innovations That Will Transform IT Operations
The document discusses various innovative technologies in cloud computing and IT operations including software defined data centers, fog computing, serverless computing, unikernels, DevSecOps, ChatOps, and user experience monitoring. It provides descriptions and examples of how each technology works and the benefits it provides such as increased agility, reduced costs, improved security, and better user experience.
Operator-less DataCenters -- A Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Operator-Less DataCenters A Near Future Reality
This Blog will introduce you to an idea on how we can make a full DC, operator less. It is not a fiction but a nearby reality.
Von JavaEE auf Microservice in 6 Monaten - The Good, the Bad, and the wtfs...
This document summarizes a talk about transitioning from JavaEE monoliths to microservices architecture in 6 months. It discusses the reasons for moving to microservices (faster development and deployment, lower costs), and the challenges including organizing configuration, communication between services, and deployment. It then outlines the steps taken to implement microservices at a company, including setting up continuous integration, using Spring Boot and Cloud, and establishing vertical feature teams to overcome organizational barriers. The key lessons are that the transition does not require a "big bang", can start with a single service, and works best by automating the development and deployment process from development to production.
7 Innovations That Will Transform IT Operations
The document discusses various innovative technologies in cloud computing and IT operations. It describes technologies like software defined data centers, fog computing, serverless computing, unikernels, DevSecOps, ChatOps, and user experience monitoring. For each technology, it discusses how it is innovative, what it means, potential use cases, and benefits compared to traditional approaches. The goal is to help readers understand new approaches to delivering IT services and building secure, scalable applications.
Beyond The Intranet: Digital Workplace Apps, Solutions & Bots
Now that your organization has implemented an Office 365 Intranet, what’s next?
In this session we will respond to the ever-increasing demand for powerful and integrated solutions that support users’ needs across their digital workplace and beyond. Leveraging Office 365 means that you have access to entirely new ways of building solutions faster than ever before. The best part? It’s not just IT that can build these great solutions!
What you’ll learn:
Join Richard Harbridge as we explore real world examples and best practices for how organizations can deliver more value with integrated solutions. We will discuss Bots, Microsoft Flow, PowerApps, Microsoft Forms, Integrations, Office 365 development, Industry innovation, and more!
Clouds Infrastructure Administration
The document discusses the experience and qualifications of M Viknaraj related to cloud infrastructure and Microsoft technologies. It includes over 17 years of experience in IT and networking, specializing in Microsoft server infrastructure, cloud infrastructure, Office 365, and virtualization. It also provides information on cloud computing concepts like infrastructure as a service, platform as a service, software as a service, virtual machines, and data centers.
Why the cloud is more secure than your existing systems
Talk presented by Ernest Mueller at LASCON 2010 on cloud computing security and why it's likely that the cloud is more secure than what you're doing right now.
We-Donut.io presentation of Platform
a Futurerich objectbased middleware development framework, tailered for statistical information gathering (big data) provided trough public and private cloud service.
Securing Underprotected APIs - Deja vu Security
Identified by OWASP as one of the top-10 security threats facing developers, Underprotected APIs are subject to common exploitation that can be difficult to detect. This presentation outlines the reasoning and methodology behind securing these APIs. By Adam Cecchetti, CEO of Deja vu Security
Accelerate your Application Delivery with DevOps and Microservices
DevOps aims to accelerate application delivery by breaking down silos between development and operations teams. It promotes continuous integration, delivery, and deployment to production through automation and monitoring. Microservices help achieve this by decomposing applications into independently deployable components to improve scalability, innovation, and failure isolation. While challenging, DevOps and microservices can help organizations deliver value faster and improve customer experiences.
Speed Welshpool - Transport Technology, Realtime, PODs and APIs
A presentation delivered to the corporate clients of Speed Welshpool about technology, real-time POD capture, web based software and APIs etc.
5 Serverless Computing Misconceptions to avoid in 2023
The Software Development Life Cycle is part of everyone’s life today, from developers to end users. For the same reason, DevOps and Cloud Computing solution providers are exploring the soundbites concerning serverless computing. As serverless computing is evolving rapidly, it’s evident that people unaware of the technology provide a misguided assumption.
DevOps and Cloud Computing are influencing the world of tech globally. Several studies have been published on the internet that shed light on familiar and outdated misconceptions. Given that these misconceptions are quite a buzz in the realm of development, it does create myths related to technologies that don’t exist. However, these existing myths suggest serverless computing is fresh out of the oven. Learn more: https://cloudzenix.com/5-serverless-computing-misconceptions-to-avoid-in-2023/
Arya.ai artificial intelligence platform vinay kumar
Arya.ai is a developer platform for building deep learning systems. It provides pre-trained models and APIs across computer vision, natural language processing, and other domains to help developers build intelligent applications. The platform handles complex tasks like data processing, model training, and deployment so developers can focus on their products. Arya.ai aims to simplify AI development and accelerate the adoption of intelligent technologies.
Machine Learning at the Edge
Join us to see how Public-sector organizations and AWS Partners are combining Smart Devices and Artificial Intelligence to create flexible, secure and cost-effective solutions. Applying machine learning models to live video/audio, cameras can be transformed into flexible IoT devices that perform critical functions around public safety, security, property management, smart parking & environmental management. Learn how these solutions are architected using AWS services such as AWS IoT Core, AWS GreenGrass, AWS DeepLens, Amazon SageMaker and Amazon Alexa.
Microservices - How Microservices Have Changed and Why They Matter
How Microservices Have Changed and Why They Matter. A Brief explanation why microservices have changed and why should microservices
Similar to NZCS Cloud Computing Presentation (20)
Confoo-Montreal-2016: Controlling Your Environments using Infrastructure as Code
Confoo-Montreal-2016: Controlling Your Environments using Infrastructure as Code
Rhys Jones, RBS, "Why The Cloud Is The Next Excel"
Rhys Jones, RBS, "Why The Cloud Is The Next Excel"
Von JavaEE auf Microservice in 6 Monaten - The Good, the Bad, and the wtfs...
Von JavaEE auf Microservice in 6 Monaten - The Good, the Bad, and the wtfs...
Beyond The Intranet: Digital Workplace Apps, Solutions & Bots
Beyond The Intranet: Digital Workplace Apps, Solutions & Bots
Why the cloud is more secure than your existing systems
Why the cloud is more secure than your existing systems
Accelerate your Application Delivery with DevOps and Microservices
Accelerate your Application Delivery with DevOps and Microservices
Speed Welshpool - Transport Technology, Realtime, PODs and APIs
Speed Welshpool - Transport Technology, Realtime, PODs and APIs
5 Serverless Computing Misconceptions to avoid in 2023
5 Serverless Computing Misconceptions to avoid in 2023
Arya.ai artificial intelligence platform vinay kumar
Arya.ai artificial intelligence platform vinay kumar
Microservices - How Microservices Have Changed and Why They Matter
Microservices - How Microservices Have Changed and Why They Matter
Recently uploaded
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Recently uploaded (20)
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
NZCS Cloud Computing Presentation
- 1. cloud computing a post hype appraisal by Abhinav Keswani
- 9. You've gotta be kidding me ... who does he think he is?! Forget about infrastructure...???
- 13. I still don't buy it ... what about the infrastructure?? What about the apps I run in-house and for which I buy more resource every X years...?
Editor's Notes
- Nokia 5160 My first mobile phone Given to me by the ISP I worked for when I was a student Made me feel very important
- This is the traditional "full handshaking" null modem cable.
- enforcing code coverage
- Cons - not cheap for the enterprise license - generic and easy to learn the programming language however it is not transportable
- 10 requests per minute = 800msec response 200 requests per minute = sub 200msec response cons - not suitable for long transactions - Python app engine is great, however Java code needs to be written with careful consideration if you want to migrate - can use appscale to migrate but again not easy - data in and out has to happen via http - you cant really do anything else
- cons - newer player - rails and github centric ... know what they are and what they do? - gartner calls them a cool vendor -
- dangerous to assume its anything like normal infrastructure dangerous to assume it will be cheaper for you - do the math - know the resources you use, run a prototype
- again make no assumptions here but it is easier to know the upcoming costs for conventional IT managers