The document discusses exploring cloud computing to reduce costs and improve performance for computing resources. It proposes a hybrid scheduler that would allocate additional machines from Amazon EC2's cloud services when local CPU usage exceeds a threshold, and deallocate them when usage decreases. This could help pay only for resources that are used, improve peak performance, and reduce costs compared to maintaining idle hardware. Key questions to answer include determining accurate cost models and the software to use on virtual machines.
mindtrek2016 - the economics of open source cloudsCarlo Daffara
When public cloud is better than the alternatives? What is the real economics of cloud computing? From my presentation at Mindtrek 2016 in Tampere, Finland
Amazon Elastic MapReduce Deep Dive and Best Practices (BDT404) | AWS re:Inven...Amazon Web Services
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch four years ago, our customers have launched more than 5.5 million Hadoop clusters. In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters.
In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Speakers:
Ian Meyers, AWS Solutions Architect
Ian McDonald, IT Director, SwiftKey
mindtrek2016 - the economics of open source cloudsCarlo Daffara
When public cloud is better than the alternatives? What is the real economics of cloud computing? From my presentation at Mindtrek 2016 in Tampere, Finland
Amazon Elastic MapReduce Deep Dive and Best Practices (BDT404) | AWS re:Inven...Amazon Web Services
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch four years ago, our customers have launched more than 5.5 million Hadoop clusters. In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters.
In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Speakers:
Ian Meyers, AWS Solutions Architect
Ian McDonald, IT Director, SwiftKey
(BDT208) A Technical Introduction to Amazon Elastic MapReduceAmazon Web Services
"Amazon EMR provides a managed framework which makes it easy, cost effective, and secure to run data processing frameworks such as Apache Hadoop, Apache Spark, and Presto on AWS. In this session, you learn the key design principles behind running these frameworks on the cloud and the feature set that Amazon EMR offers. We discuss the benefits of decoupling compute and storage and strategies to take advantage of the scale and the parallelism that the cloud offers, while lowering costs. Additionally, you hear from AOL’s Senior Software Engineer on how they used these strategies to migrate their Hadoop workloads to the AWS cloud and lessons learned along the way.
In this session, you learn the benefits of decoupling storage and compute and allowing them to scale independently; how to run Hadoop, Spark, Presto and other supported Hadoop Applications on Amazon EMR; how to use Amazon S3 as a persistent data-store and process data directly from Amazon S3; dDeployment strategies and how to avoid common mistakes when deploying at scale; and how to use Spot instances to scale your transient infrastructure effectively."
AWS re:Invent 2016: How to Scale and Operate Elasticsearch on AWS (DEV307)Amazon Web Services
Elasticsearch has quickly become the leading open source technology for scaling search and building document services on. Many software providers have come to rely on it to serve the needs of high-performance, production applications.
In this talk, we’ll go deep on lessons learned from three years in production scaling from a few shards to more than 100 spread across 100s of nodes on AWS--to serve real-time queries against 100s of millions of documents.
Attendees will learn:
* How to capacity plan for ES on AWS
* How to scale and reshard on AWS with zero downtime
* What AWS and ES metrics to collect and alert on
* Tips on day to day ES operations
Session sponsored by SignalFx.
My presentation for OpenNebulaConf 2015, with a (slightly tongue-in-cheek) overview of the real difference between public and private clouds from the point of view of economics, utilization rate, complexity and more.
(BDT210) Building Scalable Big Data Solutions: Intel & AOLAmazon Web Services
"Growing data is a massive computational challenge across the enterprise. The opportunity to draw insights from huge data sets is wide open, but traditional computing environments often can’t scale to those volumes. In this session, Intel Chief Data Scientist Bob Rogers PhD explains how developers can take advantage of technologies from Intel with the AWS platform.
Also in this session, AOL Systems Architect Durga Nemani provides insights into how AOL was able to reduce the time and cost to process massive amounts of clickstream data by leveraging big data technologies in AWS. AOL can process data as fast as possible or as cheaply as possible, depending on the SLA, by choosing the number and types of instances without any changes to the code. Session sponsored by Intel."
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
Organizations often need to quickly analyze large amounts of data, such as logs generated from a wide variety of sources and formats. However, traditional approaches require a lot of time and effort designing complex data transformation and loading processes; and configuring data warehouses. Using AWS, you can start querying your datasets within minutes. In this session you will learn how you can deploy a managed Presto environment in minutes to interactively query log data using standard ANSI SQL. Presto is a popular open source SQL engine for running interactive analytic queries against data sources of all sizes. We will talk about common use cases and best practices for running Presto on Amazon EMR.
Join us for a for a Amazon Kinesis tutorial webinar. In this session we will provide a reference architecture and instructions for building a system that performs real-time sliding-windows analysis over streaming clickstream data. We will use Amazon Kinesis for managed ingestion of streaming data at scale with the ability to replay past data, and run sliding-window computation using Apache Storm. We’ll demonstrate in the webinar on how to build the system and deploy on AWS and walkthrough all the steps from ingestion, processing, and storing to visualizing of the data in real-time.
ENT313 Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum E...Amazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
Deep Learning in the Cloud at Scale: A Data Orchestration StoryAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Deep Learning in the Cloud at Scale: A Data Orchestration Story
Mickey Zhang, Software Engineer (Microsoft)
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Deep Dive on the AWS Storage Gateway - April 2017 AWS Online Tech TalksAmazon Web Services
- Learn about the benefits and capabilities of AWS Storage Gateway
- Learn how to get started with AWS Storage Gateway
AWS Storage Gateway provides file, volume, and tape storage in AWS through standard protocols which integrate seamlessly into your on-premises and in-cloud environments. This tech talk covers a deep dive to the main features and capabilities of AWS Storage Gateway, and patterns for using the service to accelerate your adoption of hybrid storage. With stories from real-life customer deployments, we’ll show the benefit of Storage Gateway for workloads such as backup and archive, disaster recovery, tiered storage, and cloud bursting.
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Amazon Web Services
Big data technologies let you work with any velocity, volume, or variety of data in a highly productive environment. Join the General Manager of Amazon EMR, Peter Sirota, to learn how to scale your analytics, use Hadoop with Amazon EMR, write queries with Hive, develop real world data flows with Pig, and understand the operational needs of a production data platform.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. We will also explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service. Learn the fundamentals of DynamoDB and see the new DynamoDB console first-hand as we discuss common use cases and benefits of this high-performance key-value and JSON document store.
Deep Dive on Amazon EC2 Instances - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We will also provide an overview of the newest instances announced at re:Invent, including the latest generation of Memory and Compute Optimized Instances R4 and C5 instances, new Storage Optimized High I/O I3 instances, and new larger T2 instances. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives:
• Get an overview of the EC2 instance platform, key platform features, and the concept of instance generations
• Learn about the latest generation of Amazon EC2 Instances
• Learn best practices around instance selection to optimize performance
Cloud Storage Comparison: AWS vs Azure vs Google vs IBMRightScale
As public cloud storage services mature, it becomes easier to make apples-to-apples comparisons. We drill down on the latest specs and features for object, block, archival, and file storage across AWS, Azure, Google, and IBM. We also compare prices for a variety of storage scenarios.
Scalable Deep Learning on AWS Using Apache MXNet - AWS Summit Tel Aviv 2017Amazon Web Services
Artificial Intelligence (AI) and deep learning are now ready to power your business, as it is powering most of the innovation of Amazon.com with autonomous drones, and robots, Amazon Alexa, Amazon Go, and many other hard and important business problems. Come and learn why and how to get started with deep learning, and what you can expect from a future with better AI in the cloud and on the edge.
More and more, the scalable on-demand infrastructure provided by AWS is being used by researchers, scientists and engineers in Life Sciences, Finance and Engineering to solve bigger problems, answer complex questions and run larger simulations. In this session we start by talking about the supercomputing class performance and high performance storage available to the scientists and engineers at their fingertips. We will go over examples of how startups are innovating and large enterprises are extending their HPC environments. Finally, we walk through some of the common questions that come up as organizations start leveraging AWS for their high performance computing needs.
Best Practices for Managing Hadoop Framework Based Workloads (on Amazon EMR) ...Amazon Web Services
Learning Objectives:
- Learn how to use Amazon EMR for easy, fast, and cost-effective processing of vast amounts of data across dynamically scalable Amazon EC2 instances.
- Learn how using EC2 Spot can significantly reduce the cost of running your clusters.
- Learn how Amazon EMR Instance Fleets can make it easier to quickly obtain and maintain your desired capacity for your clusters.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Pawan Agnihotri, Principal Solutions Architect, AWS
How to optimize IT for future business needsAxios Systems
To view this complimentary webcast in full, visit: http://forms.axiossystems.com/LP=281
Sharon Taylor, the Chief Architect of ITIL® V3 discusses how strategically focused IT service management can be used to drive value for the business. The focus is changing from IT powering the business to IT driving the business forward.
This video focuses on how IT and the business can move together as one. You will learn how ITSM can address the delivery of value-driven services through operational efficiency, service optimization and transformation with market time agility.
To view this complimentary webcast in full, visit: http://forms.axiossystems.com/LP=471
If you are implementing a cloud strategy, best practice ITSM processes can help you achieve success.
(BDT208) A Technical Introduction to Amazon Elastic MapReduceAmazon Web Services
"Amazon EMR provides a managed framework which makes it easy, cost effective, and secure to run data processing frameworks such as Apache Hadoop, Apache Spark, and Presto on AWS. In this session, you learn the key design principles behind running these frameworks on the cloud and the feature set that Amazon EMR offers. We discuss the benefits of decoupling compute and storage and strategies to take advantage of the scale and the parallelism that the cloud offers, while lowering costs. Additionally, you hear from AOL’s Senior Software Engineer on how they used these strategies to migrate their Hadoop workloads to the AWS cloud and lessons learned along the way.
In this session, you learn the benefits of decoupling storage and compute and allowing them to scale independently; how to run Hadoop, Spark, Presto and other supported Hadoop Applications on Amazon EMR; how to use Amazon S3 as a persistent data-store and process data directly from Amazon S3; dDeployment strategies and how to avoid common mistakes when deploying at scale; and how to use Spot instances to scale your transient infrastructure effectively."
AWS re:Invent 2016: How to Scale and Operate Elasticsearch on AWS (DEV307)Amazon Web Services
Elasticsearch has quickly become the leading open source technology for scaling search and building document services on. Many software providers have come to rely on it to serve the needs of high-performance, production applications.
In this talk, we’ll go deep on lessons learned from three years in production scaling from a few shards to more than 100 spread across 100s of nodes on AWS--to serve real-time queries against 100s of millions of documents.
Attendees will learn:
* How to capacity plan for ES on AWS
* How to scale and reshard on AWS with zero downtime
* What AWS and ES metrics to collect and alert on
* Tips on day to day ES operations
Session sponsored by SignalFx.
My presentation for OpenNebulaConf 2015, with a (slightly tongue-in-cheek) overview of the real difference between public and private clouds from the point of view of economics, utilization rate, complexity and more.
(BDT210) Building Scalable Big Data Solutions: Intel & AOLAmazon Web Services
"Growing data is a massive computational challenge across the enterprise. The opportunity to draw insights from huge data sets is wide open, but traditional computing environments often can’t scale to those volumes. In this session, Intel Chief Data Scientist Bob Rogers PhD explains how developers can take advantage of technologies from Intel with the AWS platform.
Also in this session, AOL Systems Architect Durga Nemani provides insights into how AOL was able to reduce the time and cost to process massive amounts of clickstream data by leveraging big data technologies in AWS. AOL can process data as fast as possible or as cheaply as possible, depending on the SLA, by choosing the number and types of instances without any changes to the code. Session sponsored by Intel."
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application.
Organizations often need to quickly analyze large amounts of data, such as logs generated from a wide variety of sources and formats. However, traditional approaches require a lot of time and effort designing complex data transformation and loading processes; and configuring data warehouses. Using AWS, you can start querying your datasets within minutes. In this session you will learn how you can deploy a managed Presto environment in minutes to interactively query log data using standard ANSI SQL. Presto is a popular open source SQL engine for running interactive analytic queries against data sources of all sizes. We will talk about common use cases and best practices for running Presto on Amazon EMR.
Join us for a for a Amazon Kinesis tutorial webinar. In this session we will provide a reference architecture and instructions for building a system that performs real-time sliding-windows analysis over streaming clickstream data. We will use Amazon Kinesis for managed ingestion of streaming data at scale with the ability to replay past data, and run sliding-window computation using Apache Storm. We’ll demonstrate in the webinar on how to build the system and deploy on AWS and walkthrough all the steps from ingestion, processing, and storing to visualizing of the data in real-time.
ENT313 Deploying a Disaster Recovery Site on AWS: Minimal Cost with Maximum E...Amazon Web Services
In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
Deep Learning in the Cloud at Scale: A Data Orchestration StoryAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
Deep Learning in the Cloud at Scale: A Data Orchestration Story
Mickey Zhang, Software Engineer (Microsoft)
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
Deep Dive on the AWS Storage Gateway - April 2017 AWS Online Tech TalksAmazon Web Services
- Learn about the benefits and capabilities of AWS Storage Gateway
- Learn how to get started with AWS Storage Gateway
AWS Storage Gateway provides file, volume, and tape storage in AWS through standard protocols which integrate seamlessly into your on-premises and in-cloud environments. This tech talk covers a deep dive to the main features and capabilities of AWS Storage Gateway, and patterns for using the service to accelerate your adoption of hybrid storage. With stories from real-life customer deployments, we’ll show the benefit of Storage Gateway for workloads such as backup and archive, disaster recovery, tiered storage, and cloud bursting.
Scaling your Analytics with Amazon Elastic MapReduce (BDT301) | AWS re:Invent...Amazon Web Services
Big data technologies let you work with any velocity, volume, or variety of data in a highly productive environment. Join the General Manager of Amazon EMR, Peter Sirota, to learn how to scale your analytics, use Hadoop with Amazon EMR, write queries with Hive, develop real world data flows with Pig, and understand the operational needs of a production data platform.
This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. We will also explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service. Learn the fundamentals of DynamoDB and see the new DynamoDB console first-hand as we discuss common use cases and benefits of this high-performance key-value and JSON document store.
Deep Dive on Amazon EC2 Instances - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We will also provide an overview of the newest instances announced at re:Invent, including the latest generation of Memory and Compute Optimized Instances R4 and C5 instances, new Storage Optimized High I/O I3 instances, and new larger T2 instances. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives:
• Get an overview of the EC2 instance platform, key platform features, and the concept of instance generations
• Learn about the latest generation of Amazon EC2 Instances
• Learn best practices around instance selection to optimize performance
Cloud Storage Comparison: AWS vs Azure vs Google vs IBMRightScale
As public cloud storage services mature, it becomes easier to make apples-to-apples comparisons. We drill down on the latest specs and features for object, block, archival, and file storage across AWS, Azure, Google, and IBM. We also compare prices for a variety of storage scenarios.
Scalable Deep Learning on AWS Using Apache MXNet - AWS Summit Tel Aviv 2017Amazon Web Services
Artificial Intelligence (AI) and deep learning are now ready to power your business, as it is powering most of the innovation of Amazon.com with autonomous drones, and robots, Amazon Alexa, Amazon Go, and many other hard and important business problems. Come and learn why and how to get started with deep learning, and what you can expect from a future with better AI in the cloud and on the edge.
More and more, the scalable on-demand infrastructure provided by AWS is being used by researchers, scientists and engineers in Life Sciences, Finance and Engineering to solve bigger problems, answer complex questions and run larger simulations. In this session we start by talking about the supercomputing class performance and high performance storage available to the scientists and engineers at their fingertips. We will go over examples of how startups are innovating and large enterprises are extending their HPC environments. Finally, we walk through some of the common questions that come up as organizations start leveraging AWS for their high performance computing needs.
Best Practices for Managing Hadoop Framework Based Workloads (on Amazon EMR) ...Amazon Web Services
Learning Objectives:
- Learn how to use Amazon EMR for easy, fast, and cost-effective processing of vast amounts of data across dynamically scalable Amazon EC2 instances.
- Learn how using EC2 Spot can significantly reduce the cost of running your clusters.
- Learn how Amazon EMR Instance Fleets can make it easier to quickly obtain and maintain your desired capacity for your clusters.
AWS is hosting the first FSI Cloud Symposium in Hong Kong, which will take place on Thursday, March 23, 2017 at Grand Hyatt Hotel. The event will bring together FSI customers, industry professional and AWS experts, to explore how to turn the dream of transformation, innovation and acceleration into reality by exploiting Cloud, Voice to Text and IoT technologies. The packed agenda includes expert sessions on a host of pressing issues, such as security and compliance, as well as customer experience sharing on how cloud computing is benefiting the industry.
Speaker: Pawan Agnihotri, Principal Solutions Architect, AWS
How to optimize IT for future business needsAxios Systems
To view this complimentary webcast in full, visit: http://forms.axiossystems.com/LP=281
Sharon Taylor, the Chief Architect of ITIL® V3 discusses how strategically focused IT service management can be used to drive value for the business. The focus is changing from IT powering the business to IT driving the business forward.
This video focuses on how IT and the business can move together as one. You will learn how ITSM can address the delivery of value-driven services through operational efficiency, service optimization and transformation with market time agility.
To view this complimentary webcast in full, visit: http://forms.axiossystems.com/LP=471
If you are implementing a cloud strategy, best practice ITSM processes can help you achieve success.
A cloud based, process improvement software for the manufacturing world - manage, control and prevent failures effectively.
* HutGrip provides real-time data access and analysis
* HutGrip prevents production downtime
* HutGrip improves production processes
http://hutgrip.com/
RightScale Webinar - Tales From the Trenches: Understanding and Managing Clo...RightScale
With the public cloud pricing wars reaching fever pitch, the ROI of cloud continues to increase. But unlike traditional upfront capital approval processes, public cloud requires a new, continuous approach to forecasting and managing costs.
In this webinar, Joe Emison, CTO of BuildFax and RightScale customer, will share how he optimizes cloud costs. We’ll also help you understand cloud pricing trends and learn how to forecast and manage your costs with Cloud Analytics.
Key Topics:
1. Latest cloud pricing trends and what it means for you
2. How BuildFax optimizes cloud spend
3. Tips and best practices for managing cloud costs
4. Live demonstration of forecasting and comparing cloud costs
Cloud computing is the provision of dynamically scalable and often virtualised resources as a service over the internet (public cloud) or intranet (private cloud)
Cloud computing implications for project management methodologiesLivingstone Advisory
Cloud based technologies are becoming increasingly pervasive across society and are considered by many in business as the next major disruptive innovation. For the first time, organizations can consume, as needed, on-demand, business ready Cloud based enterprise services. This is also known as the Consumerization of IT.
Transitioning to, or deploying new IT systems and services using Cloud technologies present their own unique set of challenges to the IT Departments, Project managers and Pproject management Offices (PMO) alike.
The primary objective of this presentation is to provide a number of key considerations for Project Managers in dealing with projects involving Cloud computing technologies.
This was presented at the 25th International Project Management Institute's Global Conference in Australia on the 11th October 2011 by Rob Livingstone
Business Service Monitoring Challenges in the Cloud EraRodrigue Chakode
This talk discusses BSM and how RealOpInsight (http://realopinsight.com) can help address that in a context of cloud computing. Cloud changed the way of thinking IT. Everything is now a service, yet most of monitoring systems still lack to support this change. What leads to bring a gap between IT and business.
A "from the trenches" view into how GE is using federation standards to abstract & harden our growing cloud WAM platform. Topics covered: GE's approach to OpenID Connect for cross platform authentication (web, mobile), 2) GE's API management platform for API publishing, subscription & security, 3) how the two work together, 4) lessons learned & areas for improvement.
Cloud Computing Primer: Using cloud computing tools in your museumRobert J. Stein
A presentation by Robert Stein, Charlie Moad and Ari Davidow on cloud computing for the Museum Computer Network Conference in Portland, OR November, 2009
Crunch Your Data in the Cloud with Elastic Map Reduce - Amazon EMR HadoopAdrian Cockcroft
A introductory discussion of cloud computing and capacity planning implications is followed by a step by step guide to running a Hadoop job in EMR, and finally a discussion of how to write your own Hadoop queries.
Pat Helland's "book review" of the Above the Clouds: a Berkeley View of Cloud Computing paper.
As Pat says "If you are interested in cloud computing, you want to understand these ideas"
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.
Visit http:aws.amazon.com/hpc for more information about HPC on AWS.
High Performance Computing (HPC) allows scientists and engineers to solve complex science, engineering, and business problems using applications that require high bandwidth, low latency networking, and very high compute capabilities. AWS allows you to increase the speed of research by running high performance computing in the cloud and to reduce costs by providing Cluster Compute or Cluster GPU servers on-demand without large capital investments. You have access to a full-bisection, high bandwidth network for tightly-coupled, IO-intensive workloads, which enables you to scale out across thousands of cores for throughput-oriented applications.
My presentation on PicFS. PicFS is an implementation of CovertFS. More specifically, it is a online file system that uses steganography to gain plausible deniability
Online feedback correlation using clusteringawesomesos
My presentation given for Internet search class. I theorized that you could determine how good a product was based on the different types of negative reviews automatically
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
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