The document provides an overview of Amazon Elastic Compute Cloud (EC2) including what EC2 is, how it works, instance types, pricing models, and how to launch instances. Specifically:
- EC2 provides resizable compute capacity in the cloud and allows users to run and manage application servers and workloads.
- Users have complete control over their instances and can choose from different instance types optimized for compute, memory, storage or GPU.
- EC2 offers several pricing models including on-demand, reserved, and spot instances to provide flexibility and cost savings based on usage levels and predictability.
Reducing Cost & Maximizing Efficiency: Tightening the Belt on AWS (CPN211) | ...Amazon Web Services
This session dives deep into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending, often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily-applicable methods for cost optimizing Amazon EC2, Amazon S3, and a host of other services to save you time and money.
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.
This document discusses how to reduce spending on AWS through various techniques:
1. Paying for cloud resources only when they are used through the pay-as-you-go model avoids upfront costs and allows turning off unused capacity.
2. Using reserved instances when capacity needs are predictable provides significant discounts compared to on-demand pricing.
3. Architecting applications in a "cost aware" manner, such as leveraging caching, auto-scaling, managed services, and right-sizing instances can optimize costs.
4. Taking advantage of AWS's economies of scale through consolidated billing and free services helps lower overall spend. Planning workload usage of spot instances can achieve up to 85% savings.
This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.
This document discusses database backup and disaster recovery in the cloud. It defines key terms like disaster recovery (DR), which is preparing for and recovering from disasters, and defines a disaster as any event negatively impacting business continuity or finances. It notes statistics on businesses failing after data loss or disasters without recovery plans. Recovery Time Objective (RTO) is the time to restore systems after a disaster, while Recovery Point Objective (RPO) is acceptable data loss in time. The document discusses different disaster recovery strategies and their costs and impact on RTO and RPO, including local backups, online backups, pilot light, warm standby, and moving applications to the cloud for recovery.
This webinar discussed strategies to help save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and your reduce costs with AWS.
This webinar dived into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. It also discussed how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
Aws Summit Berlin 2013 - Understanding database options on AWSAWS Germany
With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.
AWS December 2015 Webinar Series - Strategies to Quantify TCO & Optimize Cost...Amazon Web Services
This document discusses strategies for quantifying the total cost of ownership (TCO) and optimizing costs when using Amazon Web Services (AWS). It begins by framing the business value of moving infrastructure to AWS in terms of goals like focusing on the core business rather than maintaining infrastructure. It then discusses how AWS can lower costs compared to on-premises data centers by leveraging AWS's scale, utilization rates, and hardware designs. The document also outlines typical cost drivers for on-premises deployments and demonstrates how AWS's elastic infrastructure allows costs to stay in sync with actual demand. It shares examples of how customers have saved costs on AWS through tools like the TCO calculator, reserved instances, and bringing their own licenses
Reducing Cost & Maximizing Efficiency: Tightening the Belt on AWS (CPN211) | ...Amazon Web Services
This session dives deep into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending, often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily-applicable methods for cost optimizing Amazon EC2, Amazon S3, and a host of other services to save you time and money.
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.
This document discusses how to reduce spending on AWS through various techniques:
1. Paying for cloud resources only when they are used through the pay-as-you-go model avoids upfront costs and allows turning off unused capacity.
2. Using reserved instances when capacity needs are predictable provides significant discounts compared to on-demand pricing.
3. Architecting applications in a "cost aware" manner, such as leveraging caching, auto-scaling, managed services, and right-sizing instances can optimize costs.
4. Taking advantage of AWS's economies of scale through consolidated billing and free services helps lower overall spend. Planning workload usage of spot instances can achieve up to 85% savings.
This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.
This document discusses database backup and disaster recovery in the cloud. It defines key terms like disaster recovery (DR), which is preparing for and recovering from disasters, and defines a disaster as any event negatively impacting business continuity or finances. It notes statistics on businesses failing after data loss or disasters without recovery plans. Recovery Time Objective (RTO) is the time to restore systems after a disaster, while Recovery Point Objective (RPO) is acceptable data loss in time. The document discusses different disaster recovery strategies and their costs and impact on RTO and RPO, including local backups, online backups, pilot light, warm standby, and moving applications to the cloud for recovery.
This webinar discussed strategies to help save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and your reduce costs with AWS.
This webinar dived into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. It also discussed how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
Aws Summit Berlin 2013 - Understanding database options on AWSAWS Germany
With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.
AWS December 2015 Webinar Series - Strategies to Quantify TCO & Optimize Cost...Amazon Web Services
This document discusses strategies for quantifying the total cost of ownership (TCO) and optimizing costs when using Amazon Web Services (AWS). It begins by framing the business value of moving infrastructure to AWS in terms of goals like focusing on the core business rather than maintaining infrastructure. It then discusses how AWS can lower costs compared to on-premises data centers by leveraging AWS's scale, utilization rates, and hardware designs. The document also outlines typical cost drivers for on-premises deployments and demonstrates how AWS's elastic infrastructure allows costs to stay in sync with actual demand. It shares examples of how customers have saved costs on AWS through tools like the TCO calculator, reserved instances, and bringing their own licenses
The webinar based on this presentation discussed strategies that you can adopt to help you save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and reduce your costs with AWS.
Dive into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. We'll discuss how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
Topics include:
• Understand different cost optimisation strategies you can employ in the AWS Cloud
• Learn how to take advantage of different instance types
• Discover architectural principles behind cost optimisation in AWS
• Learn about tools to help you keep on top of your AWS spend
You can find a recording of this webinar on YouTube here: http://youtu.be/kId90Q7b6kY
Optimizing Your AWS Applications and Usage to Reduce CostsAmazon Web Services
Many customers choose AWS because they need a highly reliable, scalable, and low-cost platform on which to run their applications. Low “pay only for what you use” pricing and frequent price decreases are just the beginning of how AWS can help you optimize your usage and achieve lower costs. In this session, you will learn about a few simple tools for monitoring and managing your AWS resource usage that you can start using right away, as well as some innovative features that can help you operate at lower costs programmatically. Cost allocation reporting, detailed usage reports, billing alerts, EC2 Auto Scaling, Spot and Reserved Instances, and idle resource detection are just a few of the tools and features we will cover.
The document discusses managing costs on Amazon Web Services (AWS) by gaining visibility into infrastructure and application usage, defining a reference architecture and capacity management policies, rightsizing unused resources, and optimizing through reserved instances and spot instances to reduce costs by up to 40%. It also highlights that while AWS provides some tools for cost management, third party tools can provide more advanced visibility and metrics are needed to properly measure cloud utilization and costs over time. The document demonstrates an internal tool called Sonian CloudControl for managing AWS resources and costs.
The document provides an overview of big data concepts and Amazon Web Services (AWS) products for big data and analytics. It describes challenges of big data including unpredictable resource demand and job orchestration complexities. It then summarizes AWS products for data collection, storage, processing, analytics and machine learning. Specific examples are given using AWS services like Redshift, EMR, Kinesis and DynamoDB for scenarios like data warehousing, real-time streaming and Hadoop workloads. Core principles and common challenges of big data implementations on AWS are also outlined.
More Nines for Your Dimes: Improving Availability and Lowering Costs using Au...Amazon Web Services
Running your Amazon EC2 instances in Auto Scaling groups allows you to improve your application's availability right out of the box. Auto Scaling replaces impaired or unhealthy instances automatically to maintain your desired number of instances (even if that number is one). You can also use Auto Scaling to automate the provisioning of new instances and software configurations as well as to track of usage and costs by app, project, or cost center. Of course, you can also use Auto Scaling to adjust capacity as needed - on demand, on a schedule, or dynamically based on demand. In this session, we show you a few of the tools you can use to enable Auto Scaling for the applications you run on Amazon EC2. We also share tips and tricks we've picked up from customers such as Netflix, Adobe, Nokia, and Amazon.com about managing capacity, balancing performance against cost, and optimizing availability.
This document discusses how AWS services can help startups and developers achieve profitability. It provides an example of a company that was able to reduce costs and improve margins by 54% through optimizing its architecture on AWS. Key strategies discussed include leveraging reserved instances, spot pricing, cost-aware architecting techniques like caching with S3 and CloudFront, database optimizations, and rapid prototyping tools to reduce test/dev costs. The document emphasizes starting with understanding usage patterns, doing an apples-to-apples comparison of total costs, and continuously optimizing resources through pricing models and architectural improvements.
AWS Webcast - Journey through the Cloud - Cost OptimizationAmazon Web Services
From turning systems off at night to implementing bidding strategies on the spot market, there are many ways in which you can manage costs in AWS. This presentation outlines strategies to help you save money in the AWS Cloud.
AWS Summit London 2014 | Optimising TCO for the AWS Cloud (100)Amazon Web Services
This introductory level business focused session will help you to understand how to calculate, track and optimise the costs of using AWS to deliver your applications and run other IT workloads.
Workload-Aware: Auto-Scaling A new paradigm for Big Data WorkloadsVasu S
Learn more about Workload-Aware-Auto-Scaling-- an alternative architectural approach to Auto-Scaling that is better suited for the Cloud and applications like Hadoop, Spark, and Presto.
qubole.com/resources/white-papers/workload-aware-auto-scaling-qubole
This document discusses various strategies for optimizing costs when using cloud computing resources in Amazon Web Services (AWS). It recommends:
1. Using only the resources needed and turning off unused resources to reduce costs. This includes using auto-scaling services and modifying databases.
2. Analyzing reserved instance pricing for EC2 and RDS instances to determine the best option for different usage levels and commitment periods to maximize savings compared to on-demand pricing.
3. Architecting applications to use spot instances for workloads that can be interrupted, by developing bidding strategies, to further reduce costs compared to on-demand or reserved instances.
Optimizing for Cost in the AWS Cloud - 5 Ways to Further Save - AWS Summit 20...Amazon Web Services
AWS Technology Evangelist Jinesh Varia discusses how you can optimize your costs in the cloud and further reduce you cost and save. He discusses a number of data points of how customers are saving money with AWS
JGI / AMI - Structure of a genomic specific Amazon Machine ImageJeremy Brand
The document describes the structure of a genomic specific Amazon Machine Image (AMI) created by JGI. The AMI provides (1) a common computing platform updated frequently for deploying software and reproducing results, (2) the ability to immediately share the platform with colleagues, and (3) a generic open-to-public image. The AMI structure includes Ubuntu Enterprise Cloud 10.04 LTS as the base OS along with over 300 common utilities and the latest version of JGI Tools packaged together. The AMI is designed to minimize storage costs on AWS through compressed read-only tool installations and exclusion of unused software.
This document provides an overview of strategies for optimizing costs with Amazon S3 storage. It discusses S3 pricing fundamentals, analyzing S3 bills, and provides a guide to optimization techniques. The key techniques include choosing the right storage class based on access patterns, using lifecycle policies to transition objects, removing unused objects, optimizing data formats, and replicating data across regions. Analyzing object storage usage and getting actionable recommendations is suggested to effectively optimize S3 costs at scale.
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses practices and techniques for optimising and lowering the cost of operations for applications and services that you are running on the AWS cloud.
Includes a discussion of the fundamental tenets of pricing for AWS services, plus tips and tricks for reducing the amount that you need to spend with AWS in order to run your workloads on the AWS cloud.
Explore the financial considerations of owning and operating a traditional data center versus utilizing cloud infrastructure. The session will consider many cost factors which can be overlooked when comparing models, such as provisioning, procurement, training, support contracts and software licensing. Learn how to further reduce your current costs on AWS and improve your spend predictability. Join this webinar to learn more.
Top 5 Ways to Optimize for Cost Efficiency with the CloudAmazon Web Services
The document provides tips and strategies for optimizing costs when using cloud computing services like AWS. It discusses turning off unused instances, using auto scaling to align resources with demand, taking advantage of reserved instances for discounts, leveraging spot instances for significant savings, using different Amazon S3 storage classes, optimizing DynamoDB capacity units, buffering requests with SQS, and offloading architecture to services like CloudFront and ElastiCache. It also shares examples and case studies from customers like Pfizer, Zumba, and Airbnb that achieved cost savings through these approaches.
This CloudFormation template creates an EC2 instance and defines the necessary resources and configuration. It allows a user to specify a key pair through a parameter. The template defines an EC2 instance resource with static properties for the Amazon Linux AMI ID and instance type, and a reference to the key pair parameter for authentication. The outputs section defines that the instance ID will be output after stack creation.
Scalable Web Applications Session at CodebaseIan Massingham
This is the presentation from the session at Codebase on June 17. Building Scalable Web Applications on AWS. Including content on why you might chose to use AWS for scalable web applications, a rule Book for buidling scalable web application on AWS, common patterns for web applications and where to go next to learn more about AWS.
The webinar based on this presentation discussed strategies that you can adopt to help you save money in the AWS Cloud. From turning systems off at night, to implementing bidding strategies on the spot market, there are many ways in which you can manage and reduce your costs with AWS.
Dive into the differences between instance types; explain how you can reduce costs with Reserved Instances, the spot market and by architecting to reduce costs. We'll discuss how to combine on-demand pricing with spot pricing to perform cost effective big data analysis, and introduce customer examples to illustrate how AWS customers gain the most from AWS whilst at the same time managing their spend.
Topics include:
• Understand different cost optimisation strategies you can employ in the AWS Cloud
• Learn how to take advantage of different instance types
• Discover architectural principles behind cost optimisation in AWS
• Learn about tools to help you keep on top of your AWS spend
You can find a recording of this webinar on YouTube here: http://youtu.be/kId90Q7b6kY
Optimizing Your AWS Applications and Usage to Reduce CostsAmazon Web Services
Many customers choose AWS because they need a highly reliable, scalable, and low-cost platform on which to run their applications. Low “pay only for what you use” pricing and frequent price decreases are just the beginning of how AWS can help you optimize your usage and achieve lower costs. In this session, you will learn about a few simple tools for monitoring and managing your AWS resource usage that you can start using right away, as well as some innovative features that can help you operate at lower costs programmatically. Cost allocation reporting, detailed usage reports, billing alerts, EC2 Auto Scaling, Spot and Reserved Instances, and idle resource detection are just a few of the tools and features we will cover.
The document discusses managing costs on Amazon Web Services (AWS) by gaining visibility into infrastructure and application usage, defining a reference architecture and capacity management policies, rightsizing unused resources, and optimizing through reserved instances and spot instances to reduce costs by up to 40%. It also highlights that while AWS provides some tools for cost management, third party tools can provide more advanced visibility and metrics are needed to properly measure cloud utilization and costs over time. The document demonstrates an internal tool called Sonian CloudControl for managing AWS resources and costs.
The document provides an overview of big data concepts and Amazon Web Services (AWS) products for big data and analytics. It describes challenges of big data including unpredictable resource demand and job orchestration complexities. It then summarizes AWS products for data collection, storage, processing, analytics and machine learning. Specific examples are given using AWS services like Redshift, EMR, Kinesis and DynamoDB for scenarios like data warehousing, real-time streaming and Hadoop workloads. Core principles and common challenges of big data implementations on AWS are also outlined.
More Nines for Your Dimes: Improving Availability and Lowering Costs using Au...Amazon Web Services
Running your Amazon EC2 instances in Auto Scaling groups allows you to improve your application's availability right out of the box. Auto Scaling replaces impaired or unhealthy instances automatically to maintain your desired number of instances (even if that number is one). You can also use Auto Scaling to automate the provisioning of new instances and software configurations as well as to track of usage and costs by app, project, or cost center. Of course, you can also use Auto Scaling to adjust capacity as needed - on demand, on a schedule, or dynamically based on demand. In this session, we show you a few of the tools you can use to enable Auto Scaling for the applications you run on Amazon EC2. We also share tips and tricks we've picked up from customers such as Netflix, Adobe, Nokia, and Amazon.com about managing capacity, balancing performance against cost, and optimizing availability.
This document discusses how AWS services can help startups and developers achieve profitability. It provides an example of a company that was able to reduce costs and improve margins by 54% through optimizing its architecture on AWS. Key strategies discussed include leveraging reserved instances, spot pricing, cost-aware architecting techniques like caching with S3 and CloudFront, database optimizations, and rapid prototyping tools to reduce test/dev costs. The document emphasizes starting with understanding usage patterns, doing an apples-to-apples comparison of total costs, and continuously optimizing resources through pricing models and architectural improvements.
AWS Webcast - Journey through the Cloud - Cost OptimizationAmazon Web Services
From turning systems off at night to implementing bidding strategies on the spot market, there are many ways in which you can manage costs in AWS. This presentation outlines strategies to help you save money in the AWS Cloud.
AWS Summit London 2014 | Optimising TCO for the AWS Cloud (100)Amazon Web Services
This introductory level business focused session will help you to understand how to calculate, track and optimise the costs of using AWS to deliver your applications and run other IT workloads.
Workload-Aware: Auto-Scaling A new paradigm for Big Data WorkloadsVasu S
Learn more about Workload-Aware-Auto-Scaling-- an alternative architectural approach to Auto-Scaling that is better suited for the Cloud and applications like Hadoop, Spark, and Presto.
qubole.com/resources/white-papers/workload-aware-auto-scaling-qubole
This document discusses various strategies for optimizing costs when using cloud computing resources in Amazon Web Services (AWS). It recommends:
1. Using only the resources needed and turning off unused resources to reduce costs. This includes using auto-scaling services and modifying databases.
2. Analyzing reserved instance pricing for EC2 and RDS instances to determine the best option for different usage levels and commitment periods to maximize savings compared to on-demand pricing.
3. Architecting applications to use spot instances for workloads that can be interrupted, by developing bidding strategies, to further reduce costs compared to on-demand or reserved instances.
Optimizing for Cost in the AWS Cloud - 5 Ways to Further Save - AWS Summit 20...Amazon Web Services
AWS Technology Evangelist Jinesh Varia discusses how you can optimize your costs in the cloud and further reduce you cost and save. He discusses a number of data points of how customers are saving money with AWS
JGI / AMI - Structure of a genomic specific Amazon Machine ImageJeremy Brand
The document describes the structure of a genomic specific Amazon Machine Image (AMI) created by JGI. The AMI provides (1) a common computing platform updated frequently for deploying software and reproducing results, (2) the ability to immediately share the platform with colleagues, and (3) a generic open-to-public image. The AMI structure includes Ubuntu Enterprise Cloud 10.04 LTS as the base OS along with over 300 common utilities and the latest version of JGI Tools packaged together. The AMI is designed to minimize storage costs on AWS through compressed read-only tool installations and exclusion of unused software.
This document provides an overview of strategies for optimizing costs with Amazon S3 storage. It discusses S3 pricing fundamentals, analyzing S3 bills, and provides a guide to optimization techniques. The key techniques include choosing the right storage class based on access patterns, using lifecycle policies to transition objects, removing unused objects, optimizing data formats, and replicating data across regions. Analyzing object storage usage and getting actionable recommendations is suggested to effectively optimize S3 costs at scale.
In this talk from the Dublin Websummit 2014 AWS Technical Evangelist Ian Massingham discusses practices and techniques for optimising and lowering the cost of operations for applications and services that you are running on the AWS cloud.
Includes a discussion of the fundamental tenets of pricing for AWS services, plus tips and tricks for reducing the amount that you need to spend with AWS in order to run your workloads on the AWS cloud.
Explore the financial considerations of owning and operating a traditional data center versus utilizing cloud infrastructure. The session will consider many cost factors which can be overlooked when comparing models, such as provisioning, procurement, training, support contracts and software licensing. Learn how to further reduce your current costs on AWS and improve your spend predictability. Join this webinar to learn more.
Top 5 Ways to Optimize for Cost Efficiency with the CloudAmazon Web Services
The document provides tips and strategies for optimizing costs when using cloud computing services like AWS. It discusses turning off unused instances, using auto scaling to align resources with demand, taking advantage of reserved instances for discounts, leveraging spot instances for significant savings, using different Amazon S3 storage classes, optimizing DynamoDB capacity units, buffering requests with SQS, and offloading architecture to services like CloudFront and ElastiCache. It also shares examples and case studies from customers like Pfizer, Zumba, and Airbnb that achieved cost savings through these approaches.
This CloudFormation template creates an EC2 instance and defines the necessary resources and configuration. It allows a user to specify a key pair through a parameter. The template defines an EC2 instance resource with static properties for the Amazon Linux AMI ID and instance type, and a reference to the key pair parameter for authentication. The outputs section defines that the instance ID will be output after stack creation.
Scalable Web Applications Session at CodebaseIan Massingham
This is the presentation from the session at Codebase on June 17. Building Scalable Web Applications on AWS. Including content on why you might chose to use AWS for scalable web applications, a rule Book for buidling scalable web application on AWS, common patterns for web applications and where to go next to learn more about AWS.
Social & Mobile Apps journey through the cloudIan Massingham
The document provides an overview of developing mobile apps on AWS. It discusses using AWS services like Amazon Cognito, AWS Lambda, Amazon S3 and DynamoDB to handle user authentication, data synchronization, media storage, and backend functionality without having to manage servers. The document also covers how Amazon Mobile Analytics can be used to analyze user behavior and engagement from mobile apps. Key services are integrated through the AWS Mobile SDK to simplify building cross-platform mobile apps on AWS.
This document provides an overview of big data analytics options on AWS, including Amazon Redshift, Amazon Kinesis, Amazon Elastic MapReduce, Amazon DynamoDB, and applications running on Amazon EC2. It describes ideal usage patterns, performance, cost models, and scalability for each option. It also presents two example scenarios: an enterprise data warehouse using Redshift and capturing and analyzing sensor data using Kinesis and EMR. Additional resources are provided to help readers learn more about big data analytics on AWS.
Slides from the partner event that I spoke at on the 24 April 2014. Includes and introduction to AWS and details of common adoption patterns for Enterprises that are moving to the cloud
Scalable Web Apps - Journey Through the CloudIan Massingham
1. The document discusses best practices for building scalable web applications on AWS. It provides an overview of AWS services for scalability including Route 53 for DNS, Elastic Load Balancing, CloudFront for content delivery, ElastiCache for caching, and DynamoDB for fast and flexible database storage.
2. It describes how to handle requests at any volume using auto scaling to scale compute capacity on EC2 up or down automatically based on monitoring policies, schedules, or custom metrics to maintain performance and reduce costs.
3. The key is to service all requests, service them as fast as possible using techniques like caching and offloading to services like S3, and handle variable request volumes by automating scaling to
Opportunities that the Cloud Brings for Carriers @ Carriers World 2014Ian Massingham
In this presentation from Total Telecom's Carriers World Conference in 2014 I discussed the opportunities that cloud computing presents for Telecommunications Carriers.
This document provides a template for creating a digipak, including sections for the front and back covers, spine, and inside booklet pages. The template outlines where key information like the album title and artist would go on the front cover and back cover. It also provides a basic layout for the inside multi-page booklet section.
AWS DevOps Event - Innovating with DevOps on AWSIan Massingham
Hear how high growth startups and established organisations are delivering software-based innovation, disrupting markets and delivering feature rich services that their customers love.
Indian Case Studies - How AWS Customers Have Successfully Built and Migrated ...Amazon Web Services
AWS provides Indian customers with several key benefits: faster time to market, elastic infrastructure that allows focusing on core competencies, lower costs through an OPEX model, global scale and flexibility. Several Indian companies have successfully built and migrated applications to AWS, including an enterprise backup company, media company NDTV, a mobile ad network, DTH satellite provider, travel agency redBus, a Bollywood publisher, hotel management system, and a digital commerce platform. Getting started involves identifying some workloads to test on AWS's free tier, talking to current AWS customers, and speaking with AWS representatives.
This document provides an overview of Amazon S3 concepts including buckets, objects, keys, namespaces, access controls, and fundamentals. Some key points:
1) Buckets and objects are the fundamental entities - buckets contain objects and objects contain data and metadata.
2) Keys uniquely identify objects within buckets. Keys can include "path" prefixes to organize objects.
3) Access is controlled through IAM policies, bucket policies, and ACLs which allow fine-grained access at the user and bucket level.
4) S3 is designed as a simple web services interface rather than a file system - it provides scalable, durable storage and is accessed via REST, SDKs, and CLI tools
Advanced Security Masterclass - Tel Aviv LoftIan Massingham
The document provides an overview of advanced security best practices when using AWS. It discusses identity and access management with IAM, defining virtual networks with Amazon VPC, networking and security for Amazon EC2 instances, working with container and abstracted services, and encryption and key management in AWS. The presentation emphasizes sharing security responsibility between AWS and customers, implementing least privilege access, enabling auditing and monitoring, and using services like IAM, VPC, security groups, and AWS Key Management Service to help secure workloads in AWS.
Getting started with AWS Lambda and the Serverless CloudIan Massingham
Slides from the MongoDB user group meetup talk that I did in March 2017.
https://gist.github.com/ianmas-aws/ce847270ecedf9a58cbcc1ed736cf541
^^ Gist containing (a very simple) code sample is here
This document provides an overview of Amazon Web Services (AWS) including its history, services, pricing model, global infrastructure, and how customers can get started with AWS. It describes how AWS began as Amazon's internal infrastructure and has grown to serve over 1 million customers globally across industries like startups, enterprises, and government agencies. The document outlines AWS's broad range of cloud computing services across categories like compute, storage, databases, analytics, mobile, and more. It emphasizes AWS's focus on innovation with new services and features, lower prices through economies of scale, and its utility-based on-demand pricing model. Finally, it suggests steps for getting started like using the free tier, training, and certification programs.
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.
AWS Summit London 2014 | Introduction to Amazon EC2 (100)Amazon Web Services
This document is an introduction to Amazon EC2 presented by Ian Massingham on April 30, 2014. It provides an overview of EC2's key functionality and growth over the past 7 years. EC2 allows users to provision compute capacity in the cloud and pay only for what they use. It offers choices for instance types, operating systems, storage options, and pricing models to meet different use cases. EC2 provides scalability, reliability, security, and cost savings compared to on-premises infrastructure.
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Amazon Elastic Compute Cloud (Amazon EC2) provides resizable compute capacity in the cloud and makes web scale computing easier for customers. Amazon EC2 provides a wide variety of compute instances suited to every imaginable use case, from static websites to high performance supercomputing on-demand, available via highly flexible pricing options. Amazon EC2 works with Amazon Elastic Block Store (Amazon EBS) and Auto Scaling to make it easy for you to get the performance and availability you need for your applications. This session will introduce the key features and different instance types offered by Amazon EC2, demonstrate how you can get started and provide guidance on choosing the right types of instance and purchasing options.
This document discusses cost optimization strategies on AWS. It provides examples of cost savings achieved by companies that migrated applications to AWS including a 14 million dollar annual savings for GE. It outlines approaches for architecting efficiently for cost, optimizing usage costs over time, and taking advantage of AWS pricing benefits like reserved instances, spot instances, and different storage options. The document emphasizes optimizing through proactive monitoring and billing tools, leveraging the various EC2 pricing plans, and combining options for further savings.
This document provides tips for optimizing costs in the cloud. It recommends turning off unused resources, auto-scaling based on time of day and load, choosing the right instance types, using reserved instances for steady workloads and spot instances for intermittent workloads, converting standalone instances into managed services, caching content at the edge, and choosing the appropriate storage options. The key strategies discussed are rightsizing, auto-scaling, reserved instances, spot instances, caching, and cost-optimized storage.
Optimizar los costos a medida que mejora en AWS - MXO207 - Mexico City SummitAmazon Web Services
El modelo de negocios praticado por AWS ofrece una alternativa al método tradicional ya que el cliente solo paga por lo que utiliza, sin la necesidad de contractos de largo plazo o el manejo de licenciamientos complejos. La visión de AWS es ayudar los clientes a pagar solamente lo que necesitan. En esta sesión presentaremos cómo obtener el mejor retorno de su inversión eliminando desperdicios y compartiremos las mejores practicas de cómo desarrollar una cultura con foco en costos sin impactar el ritmo de la innovación. Revisaremos una amplia gama de estrategias de planificación, supervisión y optimización de costos a través de la experiencia real de los clientes de AWS.
This document summarizes a presentation about Windows Azure. It discusses how businesses and technology have shifted from centralized computing to distributed computing in the cloud. Windows Azure provides scalable, pay-as-you-go cloud services that allow customers to improve efficiency and agility. The presentation provides details on Windows Azure architecture, pricing models, workload patterns suited for the cloud, case studies, and the company's roadmap. It aims to demonstrate how Windows Azure can help businesses reduce costs while gaining flexibility.
AWS re:Invent 2016: Getting the most Bang for your buck with #EC2 #Winning (C...Amazon Web Services
Amazon EC2 provides you with the flexibility to cost optimize your computing portfolio through purchasing models that fit your business needs. With the flexibility of mix-and-match purchasing models, you can grow your compute capacity and throughput and enable new types of cloud computing applications with the lowest TCO.
In this session, we will explore combining pay-as-you-go (On-Demand), reserve ahead of time for discounts (Reserved), and high-discount spare capacity (Spot) purchasing models to optimize costs while maintaining high performance and availability for your applications. Common application examples will be used to demonstrate how to best combine EC2’s purchasing models. You will leave the session with best practices you can immediately apply to your application portfolio.
This document discusses total cost of ownership (TCO) analysis for comparing the costs of running infrastructure on-premises versus on AWS. It provides examples of how AWS can help customers lower their TCO through its pricing models, periodic price reductions, and economies of scale. Analyst reports are cited showing that AWS reduces costs over the long term. The challenges of performing accurate TCO comparisons are acknowledged. The document then discusses four pillars of cost optimization on AWS: right-sizing instances, using reserved instances, increasing elasticity, and implementing cost governance. Partner solutions from Cloudyn and HPE are presented as helping customers optimize and govern costs.
Achieving Your Department Objectives: Providing Better Citizen Services at Lo...Amazon Web Services
Most likely, your organisation is not in the business of running data centers, yet a significant amount of time and money is spent doing just that. AWS provides a way to acquire and use infrastructure on-demand, so that you pay only for what you consume. This puts more money back into the business, so that you can innovate more, expand faster, and be better-positioned to take advantage of new opportunities.
Fabrizio Pappalardo, Partner Manager, AWS
This document summarizes a presentation about cloud computing and its uses for GIS. Cloud computing provides scalable computing resources and applications as an on-demand service over the internet. The document defines different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of how Esri and other organizations are using the cloud, including deploying ArcGIS Server on Amazon Web Services and hosting web applications on ArcGIS.com. The benefits and risks of cloud computing for GIS are also discussed.
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.
The document discusses strategies for optimizing Amazon EC2 costs, including:
1) Using different EC2 purchasing options like On-Demand, Reserved Instances, and Spot Instances depending on workload needs to balance costs and flexibility.
2) Right-sizing instances, increasing elasticity through automation, and monitoring resources to identify cost-saving opportunities.
3) Applying these strategies together through examples like a three-tier web application optimized across different tiers and workloads using various purchasing options.
The document discusses Amazon EC2 purchasing options including On-Demand, Reserved Instances, and Spot Instances. It provides details on each option such as payment structures, commitments, and cost savings compared to On-Demand. It also discusses strategies for combining the options to optimize costs for different workload types including always-on servers, transient workloads, and applications with varying demand. Examples are given for web applications and grid processing workloads.
Amazon EC2 is Amazon's Elastic Compute Cloud service that allows users to launch virtual servers, called instances, in Amazon's data centers. The presentation provides an overview of EC2's history, functionality, instance types, pricing models including on-demand, reserved, and spot instances, and security features. It demonstrates how EC2 allows for automatic scaling and reliability through services like Auto Scaling and Elastic Load Balancing.
AWS Summit Tel Aviv - Enterprise Track - Cost Optimization & TCOAmazon Web Services
This document summarizes an AWS summit presentation about cost optimization. It discusses calculating total cost of ownership (TCO) comparisons between cloud and traditional IT. When using AWS, customers pay only for what they use and only when they use it, which provides more flexibility than traditional capital expense models. The document also provides tips for optimizing AWS costs through right-sizing resources, using different payment models like reserved instances and spot instances, and monitoring usage with services like CloudWatch to further reduce costs. It shares an example of one company that was able to reduce its AWS costs by over 60% by implementing optimization strategies.
The document discusses how server virtualization can provide significant cost savings and operational efficiencies for organizations. It provides an example of a regional utility that virtualized 1,000 servers over 1.5 years, reducing costs by over $8 million through lower hardware, power, cooling, and real estate needs. Additional case studies show how virtualization helped a bank reduce provisioning time from weeks to hours and a community college improve disaster recovery and flexibility with limited budgets.
AWS' breadth of services and pricing options, offer the flexibility to effectively manage your costs and still keep the performance and capacity your business requires. With AWS, you can easily right size your services, leverage Reserved Instances, and use tools to track and monitor your resources so you can always be on top of your how much you’re spending. This session covers best practices around cost optimization for large scale deployments on AWS.
Speaker: Vikrant Yagnick
Head - India Enterprise Support
Weighing the financial considerations of owning and operating a data center facility versus employing a cloud infrastructure requires detailed and careful analysis. In practice, it is not as simple as just measuring potential hardware expense alongside utility pricing for compute and storage resources. The Total Cost of Ownership (TCO) is often the financial metric used to estimate and compare direct and indirect costs of a product or a service. Given the large differences between the two models, it is challenging to perform accurate apples-to-apples cost comparisons between on-premises data centers and cloud infrastructure that is offered as a service. In this session, we explain the economic benefits of deploying applications in AWS over deploying equivalent applications hosted in an on-premises environment.
Similar to EC2 Masterclass from the AWS User Group Scotland Meetup (20)
Some thoughts on measuring the impact of developer relationsIan Massingham
The document discusses metrics for measuring the impact of developer relations (DevRel). It recommends focusing on three key areas: generating volume by scaling audiences and channels; nurturing community by expanding developer channels, meeting developers where they are, and finding/nurturing leaders; and driving conversion to paid customers by supporting programs to generate leads, facilitating in-account sessions, and impacting C-levels. Common DevRel metrics include event attendees, webinar viewers, calculated impact scores, community members and activity, and leads generated. The goal is to tweak metrics over time to best measure performance and room for improvement in these important areas.
Slides from my talk at the Leeds IoT Meetup on November 20th. Includes links to resources to help you get started with creating connected device applications with the AWS IoT Service
AWS AWSome Day - Getting Started Best PracticesIan Massingham
The document outlines eight best practices for getting started with AWS: 1) choose your first use case well, 2) lay out your account structure and foundations, 3) think about security, 4) view AWS as services rather than software, 5) optimize costs, 6) use AWS tools and frameworks, 7) get support, and 8) ensure architectures are well designed. It provides guidance on each practice area, such as setting up billing alerts and consolidated billing, using IAM for access management, leveraging managed services, and following the Well-Architected Framework. Resources for learning more about AWS are also listed.
Ian Massingham from Amazon Web Services discusses designing and building applications for the Internet of Things using AWS services. The document outlines how AWS IoT provides scalable connectivity and management for IoT devices, allows processing of sensor data from devices in AWS using services like DynamoDB and Lambda, and addresses challenges of limited capabilities on edge devices through Greengrass, which runs Lambda functions and messaging locally on devices. Greengrass provides the same programming model for both cloud and edge computing with IoT applications.
This document summarizes announcements from AWS re:Invent 2016 related to transforming applications, security, cost optimization, reliability, and operational excellence. Key services discussed include the Well-Architected Framework course, Amazon CloudFormation, AWS OpsWorks for Chef Automate, Amazon EC2 Systems Manager, AWS CodeBuild, AWS X-Ray, AWS Personal Health Dashboard, AWS Shield, Amazon Pinpoint, AWS Glue, AWS Batch, C# support for AWS Lambda, AWS Lambda@Edge, AWS Step Functions, and several others. Many of these services were generally available or in preview at the time.
The document provides an overview of Amazon Web Services (AWS) and its capabilities across compute, storage, database, analytics, artificial intelligence, developer tools, and other services. It highlights the scalability, reliability, and security of the AWS platform and introduces new and expanded capabilities across compute types, databases, analytics, artificial intelligence, edge computing, data transfer, and migration services. It also summarizes AWS' global infrastructure and support offerings.
Getting Started with AWS Lambda & Serverless CloudIan Massingham
This document provides an overview of serverless computing using AWS Lambda. It defines serverless computing as running code without servers by paying only for the compute time consumed. AWS Lambda allows triggering functions from events or APIs which makes it easy to build scalable back-ends, perform data processing, and integrate systems. Recent updates include support for Python, scheduled functions, VPC access, and versioning. The document demonstrates using Lambda for building serverless web apps and microservices.
Building Better IoT Applications without ServersIan Massingham
This document discusses using serverless architectures with AWS services like AWS IoT, Lambda, DynamoDB, and S3 to build IoT applications without having to manage servers. It provides examples of how to connect devices to AWS IoT and trigger AWS Lambda functions in response to device events. These functions can then interact with other AWS services like DynamoDB, S3, and external APIs to implement applications like counting item usage from an IoT button and storing the data in DynamoDB, or starting a device when the button is pressed by invoking an external API via Lambda. The document also provides guidance on setting up a Raspberry Pi with sensors for local IoT development and connecting devices to AWS IoT.
This document provides an overview of Amazon Web Services (AWS) presented by Ian Massingham at an AWSome Day event. Some key points:
- AWS has over 1 million active customers including startups, enterprises, and independent software vendors.
- The cloud has become the new normal for companies of all sizes to build and deploy applications faster.
- AWS offers a vast technology platform of infrastructure and services including compute, storage, databases, analytics and more that allows for agility and innovation.
This document provides an introduction and overview of Amazon Web Services (AWS). It discusses that AWS has over 1 million active customers, including startups, enterprises, and independent software vendors. It highlights how AWS allows for agility through quick provisioning, a vast technology platform, and rapid innovation with new features. The document promotes learning more about AWS through blogs, events, training and certification programs. It encourages readers to create an AWS account and try new services.
1. The document discusses Amazon Web Services (AWS) and serverless computing. It highlights how AWS services like AWS Lambda, Amazon S3, and Amazon DynamoDB allow developers to run applications without managing infrastructure.
2. It provides examples of how serverless architectures can be used for web applications, data processing, internet of things applications, and as a connective tissue across AWS environments.
3. The document concludes by demonstrating how to deploy AWS Lambda functions using Terraform to automate infrastructure provisioning and management.
Getting started with AWS IoT on Raspberry PiIan Massingham
This document discusses getting started with AWS IoT using a Raspberry Pi. It provides an agenda that covers what AWS IoT is, why the Raspberry Pi is a good option for IoT prototyping, necessary hardware, setup instructions, examples, and pricing. The speaker will discuss setting up the Raspberry Pi with an electronics kit and sensors, configuring an AWS IoT device, and provide code examples to emulate an AWS IoT button and control a Raspberry Pi Sense Hat via AWS IoT Device Shadow using Python.
This document provides an introduction and overview of Amazon Web Services (AWS). It summarizes that AWS has over 1 million active customers, including startups, enterprises, and independent software vendors. It describes the vast infrastructure and services available on AWS, including compute, storage, databases, analytics, machine learning and more. It also discusses how AWS supports rapid innovation with new features and services, and provides information on training and certification opportunities to learn AWS.
GOTO Stockholm - AWS Lambda - Logic in the cloud without a back-endIan Massingham
Slides from my session at Goto Stockholm where I talked about AWS Lambda and how it can be used to build reliable, scalable & low-cost applications, without servers for you to manage.
Special thanks to James Hall at Parallax for allowing me to talk about the awesome application that they built using AWS Lambda, Amazon API Gateway & Amazon DynanmoDB :)
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
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
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
2. A technical deep dive beyond the basics
Help educate you on how to get the best from AWS technologies
Show you how things work and how to get things done
Broaden your knowledge in ~45 mins
Masterclass
3. On-demand compute to run application workloads
Easy come easy go – disposable resource
We provide the infrastructure, you decide what you run
Amazon EC2
4. What is EC2?
Elastic capacity Flexible
Complete control
Reliable
Inexpensive
Secure
28. AMIs
Your machine images
AMIs you have created from
EC2 instances
Can be kept private or shared
with other accounts
Amazon maintained
Set of Linux and Windows
images
Kept up to date by Amazon in
each region
Community
maintained
Images published by other AWS
users
Managed and maintained by
Marketplace partners
29. WindowsLinux Enterprise Linux
Small instance from
$0.060 per hour
Small instance from
$0.091 per hour
AMIs
Small instance from
$0.120 per hour
Small instance from
$0.090 per hour
Find out more at : aws.amazon.com/ec2/pricing
30. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
Instance types
31. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
1- or 3-year terms
Pay low up-front fee, receive significant hourly
discount
Low Cost / Predictability
Helps ensure compute capacity is available
when needed
Use Cases:
Applications with steady state or predictable
usage
Applications that require reserved capacity,
including disaster recovery
Reserved instances
Instance types
32. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
1- or 3-year terms
Pay low up-front fee, receive significant hourly
discount
Low Cost / Predictability
Helps ensure compute capacity is available
when needed
Use Cases:
Applications with steady state or predictable
usage
Applications that require reserved capacity,
including disaster recovery
Reserved instances
> 80% utilization
Lower costs up to 58%
Use Cases: Databases, Large Scale HPC,
Always-on infrastructure, Baseline
Heavy utilization RIInstance types
33. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
1- or 3-year terms
Pay low up-front fee, receive significant hourly
discount
Low Cost / Predictability
Helps ensure compute capacity is available
when needed
Use Cases:
Applications with steady state or predictable
usage
Applications that require reserved capacity,
including disaster recovery
Reserved instances
> 80% utilization
Lower costs up to 58%
Use Cases: Databases, Large Scale HPC,
Always-on infrastructure, Baseline
Heavy utilization RI
41-79% utilization
Lower costs up to 49%
Use Cases: Web applications, many heavy
processing tasks, running much of the time
Medium utilization RI
Instance types
34. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
1- or 3-year terms
Pay low up-front fee, receive significant hourly
discount
Low Cost / Predictability
Helps ensure compute capacity is available
when needed
Use Cases:
Applications with steady state or predictable
usage
Applications that require reserved capacity,
including disaster recovery
Reserved instances
> 80% utilization
Lower costs up to 58%
Use Cases: Databases, Large Scale HPC,
Always-on infrastructure, Baseline
Heavy utilization RI
41-79% utilization
Lower costs up to 49%
Use Cases: Web applications, many heavy
processing tasks, running much of the time
Medium utilization RI
15-40% utilization
Lower costs up to 34%
Use Cases: Disaster Recovery, Weekly /
Monthly reporting, Elastic Map Reduce
Light utilization RI
Instance types
35. Unix/Linux instances start at $0.02/
hour
Pay as you go for compute power
Low cost and flexibility
Pay only for what you use, no up-front
commitments or long-term contracts
Use Cases:
Applications with short term, spiky, or
unpredictable workloads;
Application development or testing
On-demand instances
1- or 3-year terms
Pay low up-front fee, receive significant hourly
discount
Low Cost / Predictability
Helps ensure compute capacity is available
when needed
Use Cases:
Applications with steady state or predictable
usage
Applications that require reserved capacity,
including disaster recovery
Reserved instances
Bid on unused EC2 capacity
Spot Price based on supply/demand,
determined automatically
Cost / Large Scale, dynamic workload handling
Use Cases:
Applications with flexible start and end times
Applications only feasible at very low compute
prices
Spot instances
Instance types
40. Public Key
Inserted by Amazon into
each EC2 instance that you
launch
Private Key
Downloaded and stored by
you
EC2
Instance
Comms secured
with private key
41. Keypairs Credentials
Used to authenticate
when accessing and
instance
Keypairs & Secrets
Access key and secret
key used to authenticate
against APIs
48. IAM Roles and EC2 tools
1. Start an EC2 Linux instance
2. Assign an IAM role at launch time:
3. Sets up all the tools you need & manages
API access credentials
4. Up and running with CLI tools in a couple
of minutes – just SSH on and use
5. Terminate/stop instance when you are
done
{
"Statement":
[
{
"Effect":
"Allow",
"NotAction":
"iam:*",
"Resource":
"*"
}
]
}
55. Bake an AMI
Start an instance
Configure the instance
Create an AMI from your
instance
Start new ones from the
AMI
Bootstrapping
56. Bake an AMI Configure dynamically
Start an instance
Configure the instance
Create an AMI from your
instance
Start new ones from the
AMI
Bootstrapping
Launch an instance
Use metadata service
and cloud-init to perform
actions on instance
when it launches
vs
57. Bake an AMI Configure dynamically
Build your base images
and setup custom
initialisation scripts
Maintain your ‘golden’
base
Bootstrapping
Use bootstrapping to
pass custom information
in and perform post
launch tasks like pulling
code from SVN
+
58. Bake an AMI Configure dynamically
Bootstrapping
Time consuming
configuration (startup time)
Static configurations (less
change management)
59. Bake an AMI Configure dynamically
Bootstrapping
Continuous deployment
(latest code)
Environment specific (dev-
test-prod)
60. Goal is bring an instance up in a
useful state
The balance will vary depending upon your
application
64. #!/bin/sh
yum
-‐y
install
httpd
php
mysql
php-‐mysql
chkconfig
httpd
on
/etc/init.d/httpd
start
Shell script in user-data will be executed on launch:
65. 65
Amazon Windows EC2Config Service executes user-data on launch:
<script>dir
>
c:test.log</script>
<powershell>any
command
that
you
can
run</powershell>
<powershell>
Read-‐S3Object
-‐BucketName
myS3Bucket
-‐Key
myFolder/myFile.zip
-‐File
c:destinationFile.zip
</powershell>
AWS Powershell Tools (use IAM roles as before…)
66. Why do this?
Automation
Less fingers, less mistakes
Availability
Drive higher
availability with self-
healing
Security
Instances locked
down by default
Flexible
Shell, Powershell,
CloudFormation,C
hef, Puppet,
OpsWorks Scale
Manage large scale
deployments and drive
autoscaling
Efficiency
Audit and manage
your estate with less
time & effort
67. Do
Some does and don’ts
Use IAM roles
Go keyless if you can
Strike a balance between
AMI and dynamic
bootstrapping
68. Do Don’t
Some does and don’ts
Use IAM roles
Go keyless if you can
Strike a balance between
AMI and dynamic
bootstrapping
Put your API access keys
into code (and then publish
to GIT) or bake into AMIs
(and share)
L
71. Elastic Block StorageInstance Storage VS
Local ‘on host’ disk
volumes
Data dependent upon
instance lifecycle
Network attached optimised
block storage
Data independent of instance
lifecycle
72. Instance Storage
Local ‘on host’ disk
volumes
Data dependent upon
instance lifecycle
Host
1
eph0 eph1 eph2 eph3
Instance Store
Instance A
Instance B
Instance C
Host
2
eph0 eph1 eph2 eph3
Instance Store
Instance D
Instance E
Instance F
73. Instance Storage
Local ‘on host’ disk
volumes
Data dependent upon
instance lifecycle
If an instance reboots (intentionally or
unintentionally), data in the instance store
persists
Data on instance store volumes is lost under the
following circumstances:
• Failure of an underlying drive
• Stopping an Amazon EBS-backed instance
• Terminating an instance
74. Options
Differing types of
instance storage
General purpose m3.medium 1 x 4 SSD*6
Compute optimized c1.xlarge 4 x 420
General purpose m3.large 1 x 32 SSD*6
Compute optimized cc2.8xlarge 4 x 840
General purpose m3.xlarge 2 x 40 SSD*6
GPU instances g2.2xlarge 1 x 60 SSD
General purpose m3.2xlarge 2 x 80 SSD*6
GPU instances cg1.4xlarge 2 x 840
General purpose m1.small 1 x 160 Memory optimized m2.xlarge 1 x 420
General purpose m1.medium 1 x 410 Memory optimized m2.2xlarge 1 x 850
General purpose m1.large 2 x 420 Memory optimized m2.4xlarge 2 x 840
General purpose m1.xlarge 4 x 420 Memory optimized cr1.8xlarge 2 x 120 SSD
Compute optimized c3.large 2 x 16 SSD Storage optimized i2.xlarge 1 x 800 SSD
Compute optimized c3.xlarge 2 x 40 SSD Storage optimized i2.2xlarge 2 x 800 SSD
Compute optimized c3.2xlarge 2 x 80 SSD Storage optimized i2.4xlarge 4 x 800 SSD
Compute optimized c3.4xlarge 2 x 160 SSD Storage optimized i2.8xlarge 8 x 800 SSD
Compute optimized c3.8xlarge 2 x 320 SSD Storage optimized hs1.8xlarge 24 x 2,048*3
Compute optimized c1.medium 1 x 350 Storage optimized hi1.4xlarge 2 x 1,024 SSD
Instance Storage
75. Elastic Block Storage
Network attached optimised
block storage
Data independent of instance
lifecycle
EBSEC2
Workspace
Hypervisor
S3
EBS
snapshot
Network
One or more ephemeral
(temporary) drives
(instance storage)
One or more EBS
(persistent) drives
EBS snapshots
(backup images)
80. EBS Persistence
EBS volume is off-instance storage
You pay for the volume usage as long as the data
persists
1. By default, EBS volumes that are attached to a running instance
automatically detach from the instance with their data intact when that
instance is terminated
2. By default, EBS volumes that are created and attached to an instance
at launch are deleted when that instance is terminated. You can modify
this behavior by changing the value of the flag DeleteOnTermination to
false when you launch the instance.
83. Availability Zone Availability Zone
Region
Availability Zone
Instance Instance Instance Instance Instance Instance
Elastic Load Balancer
84. Offload
SSL processing on ELB
Remove load from EC2
instances
Spread
Go small and wide
Balance resources across
AZs
Health check
Choose the right healthcheck
point
Check whole layers
Elastic Load Balancing
85. 1. Persistent HTTP connections – enable them and ELB to
Server will be optimized
2. Never address underlying IP – always DNS name
• There’s a set behind an ELB and real clients spread
across them
• They will change as the ELB scales to keep ahead of
demand
3. If you span ELB across AZs have an instance in all Azs
4. De-register instances from an ELB before terminating
88. Describes what Auto Scaling
will create when adding
Instances
AMI
Instance Type
Security Group
Instance Key Pair
Only one active launch configuration
at a time
Auto Scaling will terminate instances
with old launch configuration first
rolling update
Auto Scaling managed grouping
of EC2 instances
Automatic health check to maintain
pool size
Automatically scale the number of
instances by policy – Min, Max,
Desired
Automatic Integration with ELB
Automatic distribution & balancing
across AZs
Parameters for performing an
Auto Scaling action
Scale Up/Down and by how much
ChangeInCapacity (+/- #)
ExactCapacity (#)
ChangeInPercent (+/- %)
Cool Down (seconds)
Policy can be triggered by
CloudWatch events
Launch Configuration Auto-Scaling Group Auto-Scaling Policy
95. Create an auto-scaling policy (scale up):
Period before another action will take place
(Damper)
aws
autoscaling
put-‐scaling-‐policy
-‐-‐policy-‐name
101ScaleUpPolicy
-‐-‐auto-‐scaling-‐group-‐name
101-‐as-‐group
-‐-‐scaling-‐adjustment
1
-‐-‐adjustment-‐type
ChangeInCapacity
-‐-‐cooldown
300
107. Route 53
Front EC2 and ELBs with
Route 53 for control over
DNS
Resource tagging
Tag resources like EC2
and have it appear on
billing reports
Rolling deployments
Use Route 53 and ELBs to do
rolling deployments, A/B
testing
Other topics…
108. OpsWorks
Manage stacks as layers
and implement Chef recipes
to automate EC2
configuration
Beanstalk
Manage an entire
autoscaling stack for
popular containers such
as ruby, python etc
CloudFormation
Template everything from
configuration of CloudWatch
alarms, SNS topics, EC2
instances
Other topics…
110. Stop doing these:
Provisioning and fixing servers
Treating compute as physical things
Thinking of compute as a finite commitment
111. and start doing these
Security
Build systems secure by
default
Elasticity
Stateless autoscaling
applications
Replace not fix
Build from scratch, don’t fix
something Unconstrained
Say goodbye to traditional
capacity planning
Be cost aware
Tag resources, play with
instance types
Automation
Create instances when
you need them, drop
them when not
113. Regional Account
Manager
Stickers & Badges AWS RoadShow &
Lunch&Learn
Some Resources and Notes
I have some AWS
Stickers and pin
badges! Ask me if
you want some.
We have an AWS Account
Manager covering the
Edinburgh area.
Rebeca is her name. Ask
me if you want her details
The AWS Roadshow is in
Edinburgh on 17th June at
the Apex Hotel
Lunch&Learn at Codebase
the same day
+
AWS
CREDITS
115. AWS Training & Certification
Certification
aws.amazon.com/certification
Demonstrate your skills,
knowledge, and expertise
with the AWS platform
Self-Paced Labs
aws.amazon.com/training/
self-paced-labs
Try products, gain new
skills, and get hands-on
practice working with
AWS technologies
aws.amazon.com/training
Training
Skill up and gain
confidence to design,
develop, deploy and
manage your applications
on AWS
116. We typically see customers start by trying our
services
Get started now at : aws.amazon.com/getting-started
117. Design your application for the AWS Cloud
More details on the AWS Architecture Center at : aws.amazon.com/architecture