The document summarizes the benefits and costs of harnessing cloud computing services like Amazon EC2 and S3. Key services highlighted include Amazon EC2 virtual servers starting at $73/month, S3 scalable and reliable storage starting at $0.15/GB/month, and bandwidth prices under $10/mbps. Recommendations are provided for setting up redundant application and database servers using services like Puppet for auto-configuration, DNS Made Easy for failover, and CloudFront for content delivery. Cost estimates are given for basic server setups ranging from $73-292 per month.
This document discusses VPC networking on AWS. It summarizes some key advantages of VPC like network ACLs allowing true edge blocking and security groups that can change after instance launch. It also discusses some challenges faced with VPC like figuring out networking configurations and properly sizing NAT instances. The document provides guidance on using VPC features like connecting VPCs to on-premise networks with VPN and limitations around VPC components.
Amazon EC2 provides on-demand virtual server hosting without setup fees that is billed hourly, allowing users to easily launch many servers configured from snapshots of existing instances. While not officially supporting domain names, EC2 is suitable for load balancing, specialized computing tasks, and initial hosting before moving to dedicated servers due to the virtual nature of the servers.
Kotlin for backend using serverless + aws lambdaBert Añasco
This document discusses using Kotlin for backend development with AWS Lambda and serverless architecture. Some key advantages of Kotlin include its conciseness, type safety, IDE support, and interoperability with Java. AWS Lambda provides horizontal scaling and allows focusing on code without managing servers. The Serverless framework makes it easy to deploy event-driven functions. Some challenges of AWS Lambda include package size limits and cold start times, while the Serverless framework may have longer initial deploy times for large projects. Overall warm up functions and use additional stacks to address resource limits when using these serverless technologies.
What I Learned from Optimizing Workspaces through Many YearsSafe Software
When working with a particular group of workspaces through many years, you learn some horrible stuff you have done in the past that you would never do in the future. I'll fast-forward your workspaces to the future - so you don't have to make the same mistakes. Some examples are replacing Readers with FeatureReaders. Replace Writers with FeatureWriters in Parallell, move stuff to database, read files - not data, pre-process data in a good way, take advantage of external tools.
The document discusses the architecture of EC2 which allows running multiple operating systems on a single machine using hypervisors to measure performance and enable features like rapid provisioning and fault tolerance. It also covers the performance benefits of EC2 in being able to achieve higher performance than physical machines and how support is offered through forums and paid support plans at the silver and gold levels.
The author explains continuous integration to their parents by describing how they automated the provisioning of cloud infrastructure on Amazon Web Services (AWS) using configuration files, source control, and a Jenkins continuous integration system. The Jenkins project checks out configuration files from source control, manipulates them to deploy AWS resources like servers and databases, and allows developers to build test environments by clicking a green button, saving significant time compared to manual deployment.
The document summarizes the benefits and costs of harnessing cloud computing services like Amazon EC2 and S3. Key services highlighted include Amazon EC2 virtual servers starting at $73/month, S3 scalable and reliable storage starting at $0.15/GB/month, and bandwidth prices under $10/mbps. Recommendations are provided for setting up redundant application and database servers using services like Puppet for auto-configuration, DNS Made Easy for failover, and CloudFront for content delivery. Cost estimates are given for basic server setups ranging from $73-292 per month.
This document discusses VPC networking on AWS. It summarizes some key advantages of VPC like network ACLs allowing true edge blocking and security groups that can change after instance launch. It also discusses some challenges faced with VPC like figuring out networking configurations and properly sizing NAT instances. The document provides guidance on using VPC features like connecting VPCs to on-premise networks with VPN and limitations around VPC components.
Amazon EC2 provides on-demand virtual server hosting without setup fees that is billed hourly, allowing users to easily launch many servers configured from snapshots of existing instances. While not officially supporting domain names, EC2 is suitable for load balancing, specialized computing tasks, and initial hosting before moving to dedicated servers due to the virtual nature of the servers.
Kotlin for backend using serverless + aws lambdaBert Añasco
This document discusses using Kotlin for backend development with AWS Lambda and serverless architecture. Some key advantages of Kotlin include its conciseness, type safety, IDE support, and interoperability with Java. AWS Lambda provides horizontal scaling and allows focusing on code without managing servers. The Serverless framework makes it easy to deploy event-driven functions. Some challenges of AWS Lambda include package size limits and cold start times, while the Serverless framework may have longer initial deploy times for large projects. Overall warm up functions and use additional stacks to address resource limits when using these serverless technologies.
What I Learned from Optimizing Workspaces through Many YearsSafe Software
When working with a particular group of workspaces through many years, you learn some horrible stuff you have done in the past that you would never do in the future. I'll fast-forward your workspaces to the future - so you don't have to make the same mistakes. Some examples are replacing Readers with FeatureReaders. Replace Writers with FeatureWriters in Parallell, move stuff to database, read files - not data, pre-process data in a good way, take advantage of external tools.
The document discusses the architecture of EC2 which allows running multiple operating systems on a single machine using hypervisors to measure performance and enable features like rapid provisioning and fault tolerance. It also covers the performance benefits of EC2 in being able to achieve higher performance than physical machines and how support is offered through forums and paid support plans at the silver and gold levels.
The author explains continuous integration to their parents by describing how they automated the provisioning of cloud infrastructure on Amazon Web Services (AWS) using configuration files, source control, and a Jenkins continuous integration system. The Jenkins project checks out configuration files from source control, manipulates them to deploy AWS resources like servers and databases, and allows developers to build test environments by clicking a green button, saving significant time compared to manual deployment.
Continuing our series of mistakes, important pieces, and concepts for production-ready serverless projects in 2022.
"exponential backoff"
In-depth backoff and jitter comparison: https://lnkd.in/disA6tQq
AWS SDK (node) custom backoff: https://lnkd.in/dFrMbGfs
After building serverless applications for a couple of years now, we decided to share some important pieces and concepts for production-ready serverless projects.
Let's start with: What are Custom SDK Timeouts and why you should care.
Default timeouts and troubleshooting: https://lnkd.in/dZsgxk9p
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Lambda Reserved Concurrency.
More Information: https://lnkd.in/dRxHdrCa
Financial Death Trap as a Service: Cloud Computing Providers - Boaz Menuhin, ...DevOpsDays Tel Aviv
Boaz Menuhin discusses how cloud computing providers build pricing models to maximize profits through opaque pricing structures that can trap customers financially. He outlines how providers 1) offer basic services, 2) create proprietary systems, 3) introduce common services with hidden costs, and 4) profit from side fees. Menuhin advocates hacking pricing models by building alternatives to proprietary systems and leveraging low-cost options like spot instances.
Aws Introduction, technology and $ senseSachin Dole
Sachin Dole is a web software engineer who loves consumer websites and believes people should come before software. He coaches kids' soccer and can be reached at sdole@genvega.com or @sdoledotcom. The document then provides an introduction to cloud computing with demonstrations of the AWS, Facebook, and Google cloud platforms. It discusses infrastructure as a service (IAAS), platform as a service (PAAS), and software as a service (SAAS) and why businesses may prefer using cloud services over owning their own hardware and software.
This document discusses different approaches to processing emails in Ruby applications. It recommends using Postfix to receive emails and buffer them, then forwarding to an EventMachine SMTP server for processing. Example code is provided for configuring Postfix and writing a simple EventMachine SMTP server class to process incoming emails by chunks, validate recipients, and handle completed messages. More information and resources are provided for implementing this email processing architecture.
Continuous deployment of Rails apps on AWS OpsWorksTomaž Zaman
This document discusses continuous deployment of Rails applications on AWS OpsWorks. It begins with introductions and then covers:
- Using SCRUM methodology for development
- Git workflow with feature branches and pull requests
- Tools for monitoring gems (Gemnasium) and code quality (CodeClimate, Travis CI)
- An overview of AWS OpsWorks including stacks, layers, apps, and using Chef for automation
- How OpsWorks deployments work by pulling from GitHub and running deployment hooks
- Other AWS services that can be used like RDS, ElastiCache, S3
- Logging to external services like Loggly
- Approaches for running background jobs like Sidekiq
-
Serverless lessons learned #2 dead letter queuesMaik Wiesmüller
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Why you should utilize Dead Letter Queues when building event-driven systems.
More Information: https://lnkd.in/dnY6cNnG
Designing for elasticity on AWS - 9.11.2015Anton Babenko
This document summarizes a presentation about designing applications for elasticity on AWS. It discusses key AWS concepts like scalability, security, and elasticity. It emphasizes designing applications according to service-oriented architecture principles like loose coupling, abstraction, and reusability. It provides recommendations for implementing elasticity on AWS using services like Elastic Load Balancing, Auto Scaling, and CloudWatch. The presenter advocates automating configurations and leveraging free tier services like Route53, CloudFront, and different instance types to optimize costs.
Contrary to most presentations and blog posts there is more to AWS than S3. In a quest to create more re-usable code we have created WeirdAAL (AWS Attack Library). Offensively, WeirdAAL helps you answer the “what can I do with this AWS key”? We aim to answer that question, in a blackbox way, via recon modules and modules specifically dedicated to attack each of the interesting AWS service offerings while avoiding detection. It also provides multiple functions sorted by AWS service that you can use for both offensive and defensive checks.
This document summarizes a presentation about WeirdAAL, an AWS attack library. WeirdAAL allows users to interrogate and interact with AWS services using an AWS access key to identify permissions and potentially compromise systems. It includes modules that perform reconnaissance of available services, manipulate IAM users and permissions, disrupt logging with CloudTrail, extract data from EC2 instances, and more. The goal is to both explore what an AWS key pair allows and provide a starting point for useful AWS interaction functions offensively and defensively. Contact information is provided for the creators for any other questions.
This document discusses cloud computing with Amazon and Oracle. It provides an overview of what cloud computing and the different types of cloud services are. It then details the specific services that Amazon offers, including EC2, S3, EBS, SQS and SimpleDB. It also discusses how Oracle works with Amazon by providing software on Amazon's cloud through AMIs and other services like Secure Backup. Finally, it provides a demonstration of how to use tools like ElasticFox to launch an Oracle instance on Amazon EC2 and attach an EBS volume.
This document discusses constraints of cloud computing. It summarizes constraints in three areas: architecture, development, and deployment. For architecture, resources may fail unexpectedly so applications must be designed to handle this. Development is limited by the technologies supported by different platforms. Deployment is more complex than traditional methods, requiring special tools for different cloud platforms. Specific constraints discussed include time limits, data storage limits, and challenges of managing many transient server instances. The document encourages working within such constraints to build more robust, efficient applications that perform better and make users happier.
1) Cloud computing originally promised easy provisioning, commodity pricing, and elastic scalability. While significant progress has been made in these areas, challenges remain, especially with scalability.
2) Hardware costs like RAM have declined significantly following Moore's Law, lowering some cloud computing prices. However, software development productivity gains have not kept pace, making writing cloud applications still difficult.
3) New platforms aim to further improve ease of use and scalability by abstracting away the complexity of virtual machines and infrastructure. The future of cloud computing relies on a portable Platform as a Service layer that can span multiple cloud providers.
This document discusses ways to improve the speed of Rails applications. It covers topics like web servers, Rack web servers, the backend, and the frontend. It analyzes how small delays can negatively impact users and recommends measuring site speed, analyzing bottlenecks, and optimizing performance. Specific technologies mentioned include Nginx, Unicorn, SPDY, database queries, and client-side optimizations. The overall message is that scaling a Rails application is challenging but important for providing a good user experience.
Going to the cloud: Forget EVERYTHING you know!Bol.com Techlab
Speaker: Maarten Dirkse
Genre & level: Way of working, Medior
Can you handle the cloud the same way as you would handle our on-premise datacenter? The biggest issue is the mindset when using the cloud. This is completely different from the one you need when you’re ‘on the moon’ in our datacenter! Not only for developers, but even more so for classic operations-people. Let me make your road to the cloud less bumpy!
Presented at All Things Open, Raleigh NC, October 2014. Why do people love Ansible for automation? Good question! We walked through several Ansible use cases.
This document discusses Amazon ECS (Elastic Container Service), a fully managed container orchestration service. It provides an overview of ECS and its capabilities, requirements for modern cluster orchestration, and case studies from companies using ECS like Coursera and Meteor. It also includes links to documentation, GitHub repos, and videos demonstrating ECS and its scalability.
The document summarizes Julien Simon's presentation at Docker Paris #28 about Amazon EC2 Container Service (ECS). It highlights that ECS now supports Docker 1.9, is available in new regions, and includes new features like CloudWatch metrics and EC2 Container Registry (ECR) for storing and managing Docker images in AWS. It also provides links to case studies and a quick demo of using ECR to build, tag, push, and delete Docker images.
We are excited to announce Amazon Glacier, a fully-managed archive service in the cloud that allows customers to store data in 'cold storage' at an extremely competitive price point. Built to support the same 11 9s durability as S3, we'll take you through Glacier, how it works, where it sits with the storage spectrum and our planned integration with S3.
Continuing our series of mistakes, important pieces, and concepts for production-ready serverless projects in 2022.
"exponential backoff"
In-depth backoff and jitter comparison: https://lnkd.in/disA6tQq
AWS SDK (node) custom backoff: https://lnkd.in/dFrMbGfs
After building serverless applications for a couple of years now, we decided to share some important pieces and concepts for production-ready serverless projects.
Let's start with: What are Custom SDK Timeouts and why you should care.
Default timeouts and troubleshooting: https://lnkd.in/dZsgxk9p
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Lambda Reserved Concurrency.
More Information: https://lnkd.in/dRxHdrCa
Financial Death Trap as a Service: Cloud Computing Providers - Boaz Menuhin, ...DevOpsDays Tel Aviv
Boaz Menuhin discusses how cloud computing providers build pricing models to maximize profits through opaque pricing structures that can trap customers financially. He outlines how providers 1) offer basic services, 2) create proprietary systems, 3) introduce common services with hidden costs, and 4) profit from side fees. Menuhin advocates hacking pricing models by building alternatives to proprietary systems and leveraging low-cost options like spot instances.
Aws Introduction, technology and $ senseSachin Dole
Sachin Dole is a web software engineer who loves consumer websites and believes people should come before software. He coaches kids' soccer and can be reached at sdole@genvega.com or @sdoledotcom. The document then provides an introduction to cloud computing with demonstrations of the AWS, Facebook, and Google cloud platforms. It discusses infrastructure as a service (IAAS), platform as a service (PAAS), and software as a service (SAAS) and why businesses may prefer using cloud services over owning their own hardware and software.
This document discusses different approaches to processing emails in Ruby applications. It recommends using Postfix to receive emails and buffer them, then forwarding to an EventMachine SMTP server for processing. Example code is provided for configuring Postfix and writing a simple EventMachine SMTP server class to process incoming emails by chunks, validate recipients, and handle completed messages. More information and resources are provided for implementing this email processing architecture.
Continuous deployment of Rails apps on AWS OpsWorksTomaž Zaman
This document discusses continuous deployment of Rails applications on AWS OpsWorks. It begins with introductions and then covers:
- Using SCRUM methodology for development
- Git workflow with feature branches and pull requests
- Tools for monitoring gems (Gemnasium) and code quality (CodeClimate, Travis CI)
- An overview of AWS OpsWorks including stacks, layers, apps, and using Chef for automation
- How OpsWorks deployments work by pulling from GitHub and running deployment hooks
- Other AWS services that can be used like RDS, ElastiCache, S3
- Logging to external services like Loggly
- Approaches for running background jobs like Sidekiq
-
Serverless lessons learned #2 dead letter queuesMaik Wiesmüller
After building serverless applications for quite a few years, we decided to share some important pieces and concepts for production-ready serverless projects.
This time: Why you should utilize Dead Letter Queues when building event-driven systems.
More Information: https://lnkd.in/dnY6cNnG
Designing for elasticity on AWS - 9.11.2015Anton Babenko
This document summarizes a presentation about designing applications for elasticity on AWS. It discusses key AWS concepts like scalability, security, and elasticity. It emphasizes designing applications according to service-oriented architecture principles like loose coupling, abstraction, and reusability. It provides recommendations for implementing elasticity on AWS using services like Elastic Load Balancing, Auto Scaling, and CloudWatch. The presenter advocates automating configurations and leveraging free tier services like Route53, CloudFront, and different instance types to optimize costs.
Contrary to most presentations and blog posts there is more to AWS than S3. In a quest to create more re-usable code we have created WeirdAAL (AWS Attack Library). Offensively, WeirdAAL helps you answer the “what can I do with this AWS key”? We aim to answer that question, in a blackbox way, via recon modules and modules specifically dedicated to attack each of the interesting AWS service offerings while avoiding detection. It also provides multiple functions sorted by AWS service that you can use for both offensive and defensive checks.
This document summarizes a presentation about WeirdAAL, an AWS attack library. WeirdAAL allows users to interrogate and interact with AWS services using an AWS access key to identify permissions and potentially compromise systems. It includes modules that perform reconnaissance of available services, manipulate IAM users and permissions, disrupt logging with CloudTrail, extract data from EC2 instances, and more. The goal is to both explore what an AWS key pair allows and provide a starting point for useful AWS interaction functions offensively and defensively. Contact information is provided for the creators for any other questions.
This document discusses cloud computing with Amazon and Oracle. It provides an overview of what cloud computing and the different types of cloud services are. It then details the specific services that Amazon offers, including EC2, S3, EBS, SQS and SimpleDB. It also discusses how Oracle works with Amazon by providing software on Amazon's cloud through AMIs and other services like Secure Backup. Finally, it provides a demonstration of how to use tools like ElasticFox to launch an Oracle instance on Amazon EC2 and attach an EBS volume.
This document discusses constraints of cloud computing. It summarizes constraints in three areas: architecture, development, and deployment. For architecture, resources may fail unexpectedly so applications must be designed to handle this. Development is limited by the technologies supported by different platforms. Deployment is more complex than traditional methods, requiring special tools for different cloud platforms. Specific constraints discussed include time limits, data storage limits, and challenges of managing many transient server instances. The document encourages working within such constraints to build more robust, efficient applications that perform better and make users happier.
1) Cloud computing originally promised easy provisioning, commodity pricing, and elastic scalability. While significant progress has been made in these areas, challenges remain, especially with scalability.
2) Hardware costs like RAM have declined significantly following Moore's Law, lowering some cloud computing prices. However, software development productivity gains have not kept pace, making writing cloud applications still difficult.
3) New platforms aim to further improve ease of use and scalability by abstracting away the complexity of virtual machines and infrastructure. The future of cloud computing relies on a portable Platform as a Service layer that can span multiple cloud providers.
This document discusses ways to improve the speed of Rails applications. It covers topics like web servers, Rack web servers, the backend, and the frontend. It analyzes how small delays can negatively impact users and recommends measuring site speed, analyzing bottlenecks, and optimizing performance. Specific technologies mentioned include Nginx, Unicorn, SPDY, database queries, and client-side optimizations. The overall message is that scaling a Rails application is challenging but important for providing a good user experience.
Going to the cloud: Forget EVERYTHING you know!Bol.com Techlab
Speaker: Maarten Dirkse
Genre & level: Way of working, Medior
Can you handle the cloud the same way as you would handle our on-premise datacenter? The biggest issue is the mindset when using the cloud. This is completely different from the one you need when you’re ‘on the moon’ in our datacenter! Not only for developers, but even more so for classic operations-people. Let me make your road to the cloud less bumpy!
Presented at All Things Open, Raleigh NC, October 2014. Why do people love Ansible for automation? Good question! We walked through several Ansible use cases.
This document discusses Amazon ECS (Elastic Container Service), a fully managed container orchestration service. It provides an overview of ECS and its capabilities, requirements for modern cluster orchestration, and case studies from companies using ECS like Coursera and Meteor. It also includes links to documentation, GitHub repos, and videos demonstrating ECS and its scalability.
The document summarizes Julien Simon's presentation at Docker Paris #28 about Amazon EC2 Container Service (ECS). It highlights that ECS now supports Docker 1.9, is available in new regions, and includes new features like CloudWatch metrics and EC2 Container Registry (ECR) for storing and managing Docker images in AWS. It also provides links to case studies and a quick demo of using ECR to build, tag, push, and delete Docker images.
We are excited to announce Amazon Glacier, a fully-managed archive service in the cloud that allows customers to store data in 'cold storage' at an extremely competitive price point. Built to support the same 11 9s durability as S3, we'll take you through Glacier, how it works, where it sits with the storage spectrum and our planned integration with S3.
This document discusses rules for building scalable and available marketing campaigns in the cloud. It outlines six rules: 1) service all web requests, 2) service requests as fast as possible, 3) handle requests at any scale, 4) simplify architecture with services, 5) automate operational management, and 6) leverage unique cloud properties. The first rule focuses on using DNS, load balancers, and data replication to ensure requests can access the application and data. The second rule emphasizes choosing the fastest route using latency-based routing and offloading servers using a content delivery network.
This document provides an overview and agenda for an AWS technical workshop on Amazon Web Services. The workshop will provide a basic understanding of cloud computing and AWS through theory, demonstrations, and hands-on lab exercises focused on Amazon S3, EC2, EBS, CloudFront, and RDS. Attendees will learn about setting up accounts, installing tools, and the objectives and structure of the workshop. The agenda includes introductions to cloud computing and specific AWS services as well as conclusions. Questions are welcomed throughout the event.
This document summarizes the key principles of architecting applications on Amazon Web Services (AWS). It discusses the concepts of elasticity, designing for failure, loose coupling between components, security best practices, and optimizing for performance. Specific AWS services are highlighted for each principle such as Amazon EC2 for elasticity, Route 53 for redundancy, SQS for loose coupling, IAM for security, and ElastiCache for performance. The presentation emphasizes that AWS allows applications to scale up and down automatically in response to traffic and failures through these architectural patterns and services.
You've had a chance to hear from AWS Solutions Architects about how you might architect a solution which would run in the AWS cloud and learned how you might better scale your operations. Come to this session if you'd like to hear some real-world stories from customers such as Autodesk and Pronia and partners such as Control Group and Stratalux. You'll learn how Autodesk has used the AWS cloud to revolutionize the architecture of their solutions to meet their customers' needs and from Stratalux you'll see some pragmatic real world examples for increasing operational efficiency. You'll also hear how Pronia worked with Control Group to deploy a HIPAA compliant application on AWS.
MBL101 Distributing through Appstore and Kindle Fire - AWS re: Invent 2012Amazon Web Services
Interested in offering your apps and games to Amazon customers? Learn how to grow your mobile app or gaming business by offering your app to millions of Amazon and Kindle Fire customers. This talk will provide an overview of selling your app on Amazon and resources to help you engage customers and monetize, including an overview of the GameCircle and In-App Purchasing APIs. Plus, hear tips for building relationships with Amazon customers and creating the killer app for Kindle Fire by optimizing your mobile apps and games for Kindle Fire tablets.
Keynote address and AWS overview by Dr. Werner Vogels, Amazon.com CTO, at the AWS Cloud for the Enterprise Event in LA on October 15, 2009 and in NY on October 19, 2009
TLS304 Getting Productive with the AWS SDK for Ruby - AWS re: Invent 2012Amazon Web Services
Learn best practices for using the AWS SDK for Ruby, including configuration, logging, debugging, consuming high and low level interfaces, collections, memoization, Rails integrations, AWS::Record and more.
TLS306 Develop Deploy Debug with Eclipse - AWS re: Invent 2012Amazon Web Services
The AWS SDK for Java and the AWS Toolkit for Eclipse enable developers to easily manage AWS resources, quickly build web scale Java applications that interact with AWS services, and deploy those applications to the AWS platform. In this session, learn what functionality the AWS SDK for Java and the AWS Toolkit provide, see common usage scenarios with the AWS SDK for Java, and discover how to use the management, deployment, and debugging capabilities in the AWS Toolkit for Eclipse.
Manage for Peak Performance with AWS discusses how RightScale helps companies optimize their use of AWS. RightScale provides cloud management tools that allow companies to forecast costs, operate efficiently at scale, and outage-proof their applications on AWS. The document also describes how RightScale helped photo sharing company PhotoMerchant scale reliably on AWS to handle thousands of high-resolution images per hour and millions of user requests.
Choosing the Right Data Storage - Carlos Conde - AWS Summit ParisAmazon Web Services
This document discusses different data storage solutions including static storage like Amazon S3, file systems using Amazon EBS, sync volumes with AWS Storage Gateway, relational databases with Amazon RDS, and NoSQL databases like Amazon DynamoDB. It provides an overview of each solution and when they would be applicable, focusing on characteristics like scalability, durability, ease of administration and cost. The overall message is that the right choice depends on your specific needs and priorities around performance, manageability and budget.
MED201 Media Ingest and Storage Solutions with AWS - AWS re: Invent 2012Amazon Web Services
In this session we will discuss the numerous ways to ingest data into AWS including options such as physical media import & direct connect. We also talk about policy-based Hierarchical Storage Management (HSM) in the cloud, total cost of ownership, the importance of storage durability, and the infinite scalability of Amazon S3. Also, the founder of photo-share sensation IMGUR, Alan Schaaf, speaks about their migration to AWS.
AWS Support offers different support plans to match customers' needs, including 24/7 phone and chat support with 1-hour response times for web cases. They provide operational support for AWS applications as well as support for third-party software. The higher-tier plans include access to AWS Trusted Advisor and routing to senior engineers. Enterprise support adds a 15-minute response time for critical issues, application architecture guidance, and a dedicated Technical Account Manager.
This document introduces and summarizes Amazon S3 and EC2 cloud computing services. S3 provides scalable cloud storage, while EC2 allows users to launch virtual Linux servers on demand. Both services offer competitive pricing and ease of use through web interfaces and APIs. However, EC2 instances have limitations such as non-persistent local storage and hourly billing.
One of five presentations at Chicago's Day of Cloud mini-conference. Chris McAvoy (http://www.psclistens.com) demonstrates cloud computing with Amazon services.
This document summarizes Steve Loughran's research into deploying applications across distributed cloud resources like Amazon EC2 and S3. It discusses moving from single server installations to server farms and cloud computing. Key benefits include scaling easily without large capital costs, but challenges include lack of persistent storage, dynamic IP addresses, and single points of failure. The document provides examples of using EC2 and S3 programmatically through the SmartFrog framework.
The document discusses cloud computing and provides examples of how museums can utilize cloud services. It describes common cloud applications and utilities, discusses pros and cons of the cloud, and provides specific examples of how the International Museum of Art used Amazon Web Services (AWS) to save costs on data storage and transition their website and video servers to the cloud.
- The document outlines strategies for scaling applications on Amazon Web Services (AWS) from a single instance to support millions of users.
- It describes starting with a single EC2 instance and database and scaling out by adding more instances, load balancers, and managed database services.
- The document recommends leveraging serverless architectures using services like AWS Lambda and managed services to build highly scalable and available applications without having to manage servers.
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
Geezeo chose Amazon Web Services (AWS) to host their servers because it is cost effective, flexible, reliable, and secure. They currently run 12 servers through AWS for around $900 per month. This allows them to easily scale their infrastructure and try new configurations. In the past, Geezeo had performance issues with an off-site database, but now run an application server, harvest server, and database cluster on AWS with regular backups to S3. In the future, they plan to add more application servers and implement a MySQL database cluster for improved performance and scalability.
Developing And Running A Website On Amazon S Ejaymuntz
This document provides an overview of Amazon EC2, including what EC2 is, hardware and software options, important concepts like security groups and availability zones, using EC2 to host a LAMP website, advantages and caveats of EC2. It discusses instance types, machine images, storage with S3 and EBS, elastic IP addresses, regions and availability zones, fees, and provides a case study of setting up a LAMP project on EC2.
This document provides an overview and introduction to cloud computing concepts. It discusses the myths and facts about clouds, advantages like economies of scale, and definitions including the notion that clouds provide abstraction of hardware and software infrastructure. It also covers different cloud types (private, public, SaaS, PaaS, IaaS), open source cloud platforms, cloud utilities, major cloud users, cloud standards, and the Amazon EC2 and EBS cloud services.
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.
Building prediction models with Amazon Redshift and Amazon MLJulien SIMON
The document discusses using Amazon Redshift and Amazon Machine Learning for building prediction models. It begins with an introduction to challenges with big data and how managed AWS services can help address them. It then provides overviews of Amazon Redshift as an enterprise data warehousing service and Amazon Machine Learning for building and deploying ML models. The document concludes with two demos of using these services to load and analyze data and build prediction models.
As part of the Introduction to AWS Workshop Series, see how to scale your website from your first user, right up to a complex architecture to support 10 million users.
In May of 2012, Socialcam exploded, gaining tens of millions of new users in just a few weeks. At the time, the service ran on 15 servers in a co-location facility in San Francisco. To meet new user traffic demands and continue to deliver maximum user satisfaction, Socialcam made the move to cloud services. With only two engineers and a constant barrage of users, there was limited time for technical transition, but Socialcam endured with no significant downtime. In this technical session, Socialcam co-founders Guillaume Luccisano and Ammon Bartram talk about their experience scaling Socialcam. They present the challenges they encountered, how they addressed them, and the technologies they used in the process. They focus particularly on how they used Amazon services in conjunction with their own hardware to keep Socialcam active with no significant downtime and no costly system redesign.
BigDataCloud meetup - July 8th - Cost effective big-data processing using Ama...BigDataCloud
This document discusses using Amazon Elastic MapReduce (EMR) for cost-effective big data processing. It describes the author's experience using EMR to process 1TB of log data per week for a startup. Key advantages of EMR include only paying for usage, no hardware to maintain, and ability to customize cluster resources for different jobs. The author outlines best practices learned, such as splitting logs by type and processing in smaller windows, as well as next steps like using spot instances and NoSQL for improved performance and cost savings.
Amazon Web Services offers several cloud computing services including Mechanical Turk (MTurk), Simple Queue Service (SQS), Simple Storage Service (S3), and Elastic Compute Cloud (EC2). MTurk allows users to submit human intelligence tasks and pay workers to complete them. SQS provides a queue system to communicate between distributed applications. S3 provides storage buckets for files. EC2 offers virtual servers that can be configured and deployed on demand in the cloud.
Amazon S3 provides inexpensive cloud storage while EC2 offers virtual computing resources. S3 allows storage of unlimited data for $0.15 per GB per month with data retrieval priced at $0.10-$0.13 per GB depending on amount. EC2's virtual machines range in power and price from $0.10 per hour for a small instance to $0.80 per hour for an extra large one. Both services offer flexibility to scale up or down on demand with no long term commitments.
Why Scale Matters and How the Cloud is Really Different (at scale)Amazon Web Services
This document discusses how various companies scale their services and applications on AWS to handle large user loads and data volumes. It provides examples of Animoto handling over 1 billion files saved per day and Airbnb having over 9 million guests. It then outlines an approach for scaling an application from 1 user to millions by starting with EC2 instances, adding services like S3, DynamoDB, ElastiCache and auto-scaling groups. The document emphasizes using AWS managed services to avoid re-inventing solutions for tasks like queuing, storage and databases.
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
Similar to AWS Customer Presentation - Smugmug (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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!
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
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.
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).
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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.
Managing hardware in our datacenter is a pain. We do it because it’s a necessary evil. Amazon’s starting to abstract some of that away via APIs - and we’re thrilled.