This document provides an overview and introduction to MongoDB Atlas, which is MongoDB's database as a service offering. Some key points:
- MongoDB Atlas allows users to run MongoDB in a fully managed, cloud-based environment without having to manage infrastructure themselves.
- It offers global availability across 14 AWS regions, high availability across availability zones, security by default, comprehensive monitoring, and managed backups.
- Using MongoDB Atlas reduces the total cost of ownership compared to self-managed deployments and accelerates time to value by removing the operational overhead of database management.
- Features include cross-region replication for disaster recovery, security isolation using VPC peering on AWS, encryption of data both in-flight and at-rest
This document discusses cloud services and their key attributes. It defines the differences between client-server models and cloud services, and outlines some of the core characteristics of cloud services like ubiquity, published APIs, elastic scaling, and usage-based pricing. The document also provides examples of different cloud service architectures and ecosystems like OpenStack, highlighting how independent services work together through APIs.
This document discusses how to go global right now using Amazon CloudFront. CloudFront is a content delivery network that scales with demand and routes users to the fastest edge location. It can be used to distribute static files, streaming content, and even dynamic content by hosting applications on the edge. The document recommends separating static and dynamic content, using CloudFront to deliver static content from S3 buckets and routing dynamic requests to application servers.
Lunacloud is a European pure-play cloud services provider. We focus on delivering reliable, elastic and low cost cloud infrastructure services (IaaS), on which you can run your operating systems and applications or store your data.
http://www.lunacloud.com
Digitalkonferansen 2014 - Cirrus or Cumulus: Which cloud provider is the righ...Morgan Simonsen
Cirrus clouds are thin, wispy clouds found high in the sky, while cumulus clouds are thick, puffy clouds that can bring rain. The document discusses different types of cloud computing including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It compares major cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud on their IaaS, PaaS and SaaS offerings.
A unified analytics platform with Kafka and Flink | Stephan Ewen, VervericaHostedbyConfluent
Apache Kafka and Apache Flink together are a winning stack for data analytics that is used by many companies across industries.
The two projects complement each other perfectly: Kafka offers a world-class log for event stream storage and transport, while Flink is a powerful system for analytics and applications on top of those event streams.
This talk will demonstrate how to use Kafka and Flink together for "unified analytics": Analytics that seamlessly combine processing of real-time data and historic data.
Using SQL as the language for our sample applications, we will walk though various scenarios for unified analytics, such as
- Running the same query for processing real-time data from Kafka and for batch-accelerated processing of the historic data stored in Kafka.
- Writing queries that combine data in Kafka with tables in external systems (like S3)
- Switching between streams of historic data (from S3) and real-time streams in Kafka.
The audience will learn how combining real-time and historic data is becoming convenient with the combination of Kafka and Flink.
Amazon CloudFront is a content delivery network (CDN) that can be used to deliver entire websites, including dynamic, static, streaming and interactive content, using a global network of edge locations. CloudFront works seamlessly with AWS services like S3, EC2, and Route53, as well as non-AWS origin servers. It speeds up websites by caching content at edge locations close to users. The document then discusses CloudFront pricing, use cases, and provides an example of how one company used CloudFront to optimize content delivery for their application.
OneSpot is an advertising platform that uses Amazon Redshift, a fast, petabyte-scale data warehouse service from AWS, to analyze large amounts of customer data. Redshift uses a column-oriented design and cluster architecture to optimize for read performance at large scales. It provides standard SQL functionality and can scale to petabytes of data, making it easy for OneSpot to manage over 300 billion rows of customer data without requiring a dedicated database administrator.
This document provides an overview and introduction to MongoDB Atlas, which is MongoDB's database as a service offering. Some key points:
- MongoDB Atlas allows users to run MongoDB in a fully managed, cloud-based environment without having to manage infrastructure themselves.
- It offers global availability across 14 AWS regions, high availability across availability zones, security by default, comprehensive monitoring, and managed backups.
- Using MongoDB Atlas reduces the total cost of ownership compared to self-managed deployments and accelerates time to value by removing the operational overhead of database management.
- Features include cross-region replication for disaster recovery, security isolation using VPC peering on AWS, encryption of data both in-flight and at-rest
This document discusses cloud services and their key attributes. It defines the differences between client-server models and cloud services, and outlines some of the core characteristics of cloud services like ubiquity, published APIs, elastic scaling, and usage-based pricing. The document also provides examples of different cloud service architectures and ecosystems like OpenStack, highlighting how independent services work together through APIs.
This document discusses how to go global right now using Amazon CloudFront. CloudFront is a content delivery network that scales with demand and routes users to the fastest edge location. It can be used to distribute static files, streaming content, and even dynamic content by hosting applications on the edge. The document recommends separating static and dynamic content, using CloudFront to deliver static content from S3 buckets and routing dynamic requests to application servers.
Lunacloud is a European pure-play cloud services provider. We focus on delivering reliable, elastic and low cost cloud infrastructure services (IaaS), on which you can run your operating systems and applications or store your data.
http://www.lunacloud.com
Digitalkonferansen 2014 - Cirrus or Cumulus: Which cloud provider is the righ...Morgan Simonsen
Cirrus clouds are thin, wispy clouds found high in the sky, while cumulus clouds are thick, puffy clouds that can bring rain. The document discusses different types of cloud computing including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It compares major cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud on their IaaS, PaaS and SaaS offerings.
A unified analytics platform with Kafka and Flink | Stephan Ewen, VervericaHostedbyConfluent
Apache Kafka and Apache Flink together are a winning stack for data analytics that is used by many companies across industries.
The two projects complement each other perfectly: Kafka offers a world-class log for event stream storage and transport, while Flink is a powerful system for analytics and applications on top of those event streams.
This talk will demonstrate how to use Kafka and Flink together for "unified analytics": Analytics that seamlessly combine processing of real-time data and historic data.
Using SQL as the language for our sample applications, we will walk though various scenarios for unified analytics, such as
- Running the same query for processing real-time data from Kafka and for batch-accelerated processing of the historic data stored in Kafka.
- Writing queries that combine data in Kafka with tables in external systems (like S3)
- Switching between streams of historic data (from S3) and real-time streams in Kafka.
The audience will learn how combining real-time and historic data is becoming convenient with the combination of Kafka and Flink.
Amazon CloudFront is a content delivery network (CDN) that can be used to deliver entire websites, including dynamic, static, streaming and interactive content, using a global network of edge locations. CloudFront works seamlessly with AWS services like S3, EC2, and Route53, as well as non-AWS origin servers. It speeds up websites by caching content at edge locations close to users. The document then discusses CloudFront pricing, use cases, and provides an example of how one company used CloudFront to optimize content delivery for their application.
OneSpot is an advertising platform that uses Amazon Redshift, a fast, petabyte-scale data warehouse service from AWS, to analyze large amounts of customer data. Redshift uses a column-oriented design and cluster architecture to optimize for read performance at large scales. It provides standard SQL functionality and can scale to petabytes of data, making it easy for OneSpot to manage over 300 billion rows of customer data without requiring a dedicated database administrator.
1. Real time bidding (RTB) refers to the practice of buying and selling display ad impressions through ad exchanges in real time and one impression at a time.
2. AWS is well suited for building RTB solutions due to its scalability, global infrastructure, and services that handle non-differentiated heavy lifting like networking and data processing.
3. Sample RTB architectures on AWS use Elastic Load Balancers and Auto Scaling Groups for front-end servers, DynamoDB and Redis for low latency caches, Kinesis and Spark for data collection and analytics, and EC2 Spot Instances to reduce costs. Building on AWS allows customers to focus on their competitive advantages rather than infrastructure.
This document provides an overview of Amazon Web Services (AWS) and why someone would want to learn AWS. It discusses how AWS is the largest and fastest growing public cloud platform, and that many organizations are outsourcing their IT to AWS. It also mentions that AWS certifications are very popular currently. The document then provides more details on AWS services like Lambda, serverless computing, AWS regions and availability zones, and use cases for AWS Lambda. It discusses how to build, configure and test Lambda functions, and includes an example of creating a Lambda function triggered by an S3 event.
The document discusses serverless architectures and how they rely on third-party backend services (BaaS) or custom code run in ephemeral containers through Function as a Service (FaaS) platforms like AWS Lambda. It provides the example use case of processing uploaded XML files and storing them in a database. Amazon S3 object storage and AWS RDS relational database services are introduced as components that can be used for serverless applications.
MongoDB .local Houston 2019: Building an IoT Streaming Analytics Platform to ...MongoDB
Corva's analytics platform enables real-time engineering and machine learning predictions and powers faster and safer drilling. The platform utilizes AWS serverless Lambda & extensible, data-driven API with MongoDB to handle 100,000+ requests per minute of streaming sensor data.
Making Sense of Time Series Data in MongoDBMongoDB
This document discusses using MongoDB for time series data. It begins by defining time series data as having a timestamp and value. It then explains why MongoDB is suitable for time series due to its flexible document model, horizontal scalability, indexes, and analytics tools. The document outlines several patterns for structuring time series data in MongoDB, including one document per data point, time-based bucketing, and size-based bucketing. It also provides examples of how these patterns impact document count, collection size, and index size. Finally, it discusses querying time series data using aggregation pipelines and monitoring performance.
Cloud Capacity Planning Tooling - South Bay SRE Meetup Aug-09-2016Coburn Watson
The document summarizes Netflix's cloud capacity planning operations. It notes that Netflix tracks over 2,400 applications running on 80 instance types deployed across 30 zones and 60 accounts in AWS. To provide transparency and actionable insights at scale, Netflix built interactive dashboards and focuses on deviations and trends. Its tool called Picsou comprehensively monitors Netflix's current cloud footprint, forecasts future capacity needs, and optimizes on-demand and reserved capacity for cost and reliability. Going forward, Picsou will provide capacity alerts, forecasts, and recommendations to optimize reserved capacity usage.
Brief introduction to the power of cloud infrastructure and 3 ways to leverage it to turbo boost any WordPress site from the easy to the complex.
http://youtu.be/lu4E_CGMQFE
Hire some ii towards privacy-aware cross-cloud service composition for big da...ieeepondy
Hire some ii towards privacy-aware cross-cloud service composition for big data applications
+91-9994232214,8144199666, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2015-2016
-----------------------------------
Contact:+91-9994232214,+91-8144199666
Email:ieeeprojectchennai@gmail.com
ieee projects chennai, ieee projects bangalore
This document discusses strategies for logging at scale. It notes that logging presents challenges around temporary storage, data capture, permanent storage, and visualization. The document recommends starting with SQL databases and using NoSQL like Elasticsearch for very large datasets or fast data ingest. It presents Amazon Kinesis, Firehose, and Elasticsearch Service as tools to help with data capture, transport, and search. Visualization can be done with Kibana or by loading data into Redshift for use with existing BI tools. The key lessons are to reuse existing technologies when possible and choose the right tools for each part of the logging pipeline.
Pango has been using MongoDB since 2007 to store transaction and parking data, serving millions of customers. They previously used PHP and PostgreSQL but found MongoDB to be more flexible, scalable, and performant for their needs. Pango migrated their database to MongoDB Atlas for the advantages of a cloud database-as-a-service including easy maintenance, high availability, security features, and scalability. They demonstrated how application logs are stored polymorphically in MongoDB and how Atlas Live Migrate allowed upgrading their cluster to a new major version with minimal downtime.
This document discusses Infrastructure as a Service (IaaS) and key IaaS services provided by Amazon Web Services (AWS). It introduces AWS IaaS services like Elastic Compute Cloud (EC2) which provides scalable compute capacity, Simple Storage Service (S3) for unlimited storage, and Simple Queue Service (SQS) for reliable messaging between applications. Other services mentioned include SimpleDB for flexible key-value storage and Relational Database Service for managed relational databases. The document explains features and use cases of these AWS IaaS services and how they provide scalable, on-demand infrastructure resources over the internet.
This document defines and compares different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Storage as a Service (STaaS), and Database as a Service (DBaaS). It notes that cloud computing provides on-demand access to configurable computing resources via a network, typically with a pay-per-use model. The different service models offer varying levels of virtualized resources and control, from IaaS providing virtual machines to SaaS providing fully managed application software. Benefits of cloud computing include cost efficiency, reliability, scalability, performance, security and reduced maintenance burden.
Cloud computing refers to scalable hardware and software resources that are made available to the public as a utility over the internet. Key concepts include regions and zones, storage, networking and security, monitoring, auto scaling, and load balancing. There are three main types of cloud services - Software as a Service (SaaS) which provides cloud-based applications, Infrastructure as a Service (IaaS) which provides virtualized computing resources and platforms, and Platform as a Service (PaaS) which provides development environments in the cloud. Major cloud providers make these services available to end users on a pay-as-you-go basis.
Simplifying Event Streaming: Tools for Location Transparency and Data Evoluti...confluent
At Under Armour Connected Fitness, we’ve built an event streaming platform on top of Kafka and the Confluent stack that makes it easy for developers to produce and consume schema-based events without requiring direct knowledge of Kafka. We are constantly trying to improve the developer experience. The platform consists of multiple federated Kafka clusters, a schema registry, a topology service, an archiver and specialized client libraries and Web / CLI tools that assist developers with producer and consumer workflows.
In this talk, we will take a deeper dive into the design and implementation of a Scala/Java implementation of our client library that allows developers to produce or consume events without worrying about the underlying infrastructure and their location while enjoying the benefits of data compatibility through schemas. We’ll also look at an HTTP based client proxy that exposes the same API but for languages without our native support. Finally, we’ll walk through Web and CLI tools we built to make working with the platform easier.
The content of this talk will be primarily aimed at software developers looking for ideas on how to build Kafka client tools that allow producer/consumer interactions protected by schema-based event definitions while hiding details of the underlying infrastructure.
The document discusses different web service stack architectures, including complex stacks designed for reliability, and simpler stacks using technologies like SOAP, REST, and XML over HTTP. Simpler stacks with less complexity allow for more innovation and easier development compared to complex stacks.
Streaming ETL for Data Lakes using Amazon Kinesis Firehose - May 2017 AWS Onl...Amazon Web Services
Learning Objectives:
- Understand key requirements for collecting, preparing, and loading streaming data into data lakes
- Get an overview of transmitting data using Amazon Kinesis Firehose
- Learn how to perform data transformations with Amazon Kinesis Firehose
Data lakes enable your employees across the organization to access and analyze massive amounts of unstructured and structured data from disparate data sources, many of which generate data continuously and rapidly. Making this data available in a timely fashion for analysis requires a streaming solution that can durably and cost-effectively ingest this data into your data lake. Amazon Kinesis Firehose is a fully managed service that makes it easy to prepare and load streaming data into AWS. In this tech talk, we will provide an overview of Amazon Kinesis Firehose and dive deep into how you can use the service to collect, transform, batch, compress, and load real-time streaming data into your Amazon S3 data lakes.
Compare Cloud Services: AWS vs Azure vs Google vs IBMRightScale
Most enterprises are leveraging multiple clouds, but it can be difficult to understand which services are available in each cloud and how they compare. If you are looking to move a workload, you may not know what the equivalent services are on a different cloud. We outline the services available for each public cloud provider and share a free tool to compare public cloud features.
This is an introduction to the modern cloud technology landscape and what it takes to migrate Oracle databases to the cloud and operate them there. The attendees will learn about cloud concepts and what are the various options of running databases in the cloud Infrastructure as a Service (IaaS) or Platform as a Service (PaaS).
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
This document discusses Vocus Communications' cloud connectivity services in New Zealand. It summarizes Vocus' role as an AWS Direct Connect partner, providing both dedicated and virtual private connections between customer networks and AWS. It also introduces Vocus' Cloud Connect product, which offers private, high-speed connections to AWS, Azure, and other public clouds from Australia and New Zealand. The document emphasizes that Cloud Connect can integrate with Vocus' existing Ethernet and IP-WAN networks to create simple, reliable, and secure hybrid cloud solutions for customers.
Deep Dive: Developing, Deploying & Operating Mobile Apps with AWS Amazon Web Services
This document discusses using AWS services to develop, test, and operate mobile apps. It describes how Amazon Mobile Analytics can be used to collect app usage data and gain insights. Amazon Machine Learning can then leverage this data to build predictive applications by identifying users likely to churn or purchase. The document also introduces AWS Device Farm for testing apps on real devices in the cloud and Amazon Simple Notification Service for sending messages to users.
1. Real time bidding (RTB) refers to the practice of buying and selling display ad impressions through ad exchanges in real time and one impression at a time.
2. AWS is well suited for building RTB solutions due to its scalability, global infrastructure, and services that handle non-differentiated heavy lifting like networking and data processing.
3. Sample RTB architectures on AWS use Elastic Load Balancers and Auto Scaling Groups for front-end servers, DynamoDB and Redis for low latency caches, Kinesis and Spark for data collection and analytics, and EC2 Spot Instances to reduce costs. Building on AWS allows customers to focus on their competitive advantages rather than infrastructure.
This document provides an overview of Amazon Web Services (AWS) and why someone would want to learn AWS. It discusses how AWS is the largest and fastest growing public cloud platform, and that many organizations are outsourcing their IT to AWS. It also mentions that AWS certifications are very popular currently. The document then provides more details on AWS services like Lambda, serverless computing, AWS regions and availability zones, and use cases for AWS Lambda. It discusses how to build, configure and test Lambda functions, and includes an example of creating a Lambda function triggered by an S3 event.
The document discusses serverless architectures and how they rely on third-party backend services (BaaS) or custom code run in ephemeral containers through Function as a Service (FaaS) platforms like AWS Lambda. It provides the example use case of processing uploaded XML files and storing them in a database. Amazon S3 object storage and AWS RDS relational database services are introduced as components that can be used for serverless applications.
MongoDB .local Houston 2019: Building an IoT Streaming Analytics Platform to ...MongoDB
Corva's analytics platform enables real-time engineering and machine learning predictions and powers faster and safer drilling. The platform utilizes AWS serverless Lambda & extensible, data-driven API with MongoDB to handle 100,000+ requests per minute of streaming sensor data.
Making Sense of Time Series Data in MongoDBMongoDB
This document discusses using MongoDB for time series data. It begins by defining time series data as having a timestamp and value. It then explains why MongoDB is suitable for time series due to its flexible document model, horizontal scalability, indexes, and analytics tools. The document outlines several patterns for structuring time series data in MongoDB, including one document per data point, time-based bucketing, and size-based bucketing. It also provides examples of how these patterns impact document count, collection size, and index size. Finally, it discusses querying time series data using aggregation pipelines and monitoring performance.
Cloud Capacity Planning Tooling - South Bay SRE Meetup Aug-09-2016Coburn Watson
The document summarizes Netflix's cloud capacity planning operations. It notes that Netflix tracks over 2,400 applications running on 80 instance types deployed across 30 zones and 60 accounts in AWS. To provide transparency and actionable insights at scale, Netflix built interactive dashboards and focuses on deviations and trends. Its tool called Picsou comprehensively monitors Netflix's current cloud footprint, forecasts future capacity needs, and optimizes on-demand and reserved capacity for cost and reliability. Going forward, Picsou will provide capacity alerts, forecasts, and recommendations to optimize reserved capacity usage.
Brief introduction to the power of cloud infrastructure and 3 ways to leverage it to turbo boost any WordPress site from the easy to the complex.
http://youtu.be/lu4E_CGMQFE
Hire some ii towards privacy-aware cross-cloud service composition for big da...ieeepondy
Hire some ii towards privacy-aware cross-cloud service composition for big data applications
+91-9994232214,8144199666, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2015-2016
-----------------------------------
Contact:+91-9994232214,+91-8144199666
Email:ieeeprojectchennai@gmail.com
ieee projects chennai, ieee projects bangalore
This document discusses strategies for logging at scale. It notes that logging presents challenges around temporary storage, data capture, permanent storage, and visualization. The document recommends starting with SQL databases and using NoSQL like Elasticsearch for very large datasets or fast data ingest. It presents Amazon Kinesis, Firehose, and Elasticsearch Service as tools to help with data capture, transport, and search. Visualization can be done with Kibana or by loading data into Redshift for use with existing BI tools. The key lessons are to reuse existing technologies when possible and choose the right tools for each part of the logging pipeline.
Pango has been using MongoDB since 2007 to store transaction and parking data, serving millions of customers. They previously used PHP and PostgreSQL but found MongoDB to be more flexible, scalable, and performant for their needs. Pango migrated their database to MongoDB Atlas for the advantages of a cloud database-as-a-service including easy maintenance, high availability, security features, and scalability. They demonstrated how application logs are stored polymorphically in MongoDB and how Atlas Live Migrate allowed upgrading their cluster to a new major version with minimal downtime.
This document discusses Infrastructure as a Service (IaaS) and key IaaS services provided by Amazon Web Services (AWS). It introduces AWS IaaS services like Elastic Compute Cloud (EC2) which provides scalable compute capacity, Simple Storage Service (S3) for unlimited storage, and Simple Queue Service (SQS) for reliable messaging between applications. Other services mentioned include SimpleDB for flexible key-value storage and Relational Database Service for managed relational databases. The document explains features and use cases of these AWS IaaS services and how they provide scalable, on-demand infrastructure resources over the internet.
This document defines and compares different types of cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Storage as a Service (STaaS), and Database as a Service (DBaaS). It notes that cloud computing provides on-demand access to configurable computing resources via a network, typically with a pay-per-use model. The different service models offer varying levels of virtualized resources and control, from IaaS providing virtual machines to SaaS providing fully managed application software. Benefits of cloud computing include cost efficiency, reliability, scalability, performance, security and reduced maintenance burden.
Cloud computing refers to scalable hardware and software resources that are made available to the public as a utility over the internet. Key concepts include regions and zones, storage, networking and security, monitoring, auto scaling, and load balancing. There are three main types of cloud services - Software as a Service (SaaS) which provides cloud-based applications, Infrastructure as a Service (IaaS) which provides virtualized computing resources and platforms, and Platform as a Service (PaaS) which provides development environments in the cloud. Major cloud providers make these services available to end users on a pay-as-you-go basis.
Simplifying Event Streaming: Tools for Location Transparency and Data Evoluti...confluent
At Under Armour Connected Fitness, we’ve built an event streaming platform on top of Kafka and the Confluent stack that makes it easy for developers to produce and consume schema-based events without requiring direct knowledge of Kafka. We are constantly trying to improve the developer experience. The platform consists of multiple federated Kafka clusters, a schema registry, a topology service, an archiver and specialized client libraries and Web / CLI tools that assist developers with producer and consumer workflows.
In this talk, we will take a deeper dive into the design and implementation of a Scala/Java implementation of our client library that allows developers to produce or consume events without worrying about the underlying infrastructure and their location while enjoying the benefits of data compatibility through schemas. We’ll also look at an HTTP based client proxy that exposes the same API but for languages without our native support. Finally, we’ll walk through Web and CLI tools we built to make working with the platform easier.
The content of this talk will be primarily aimed at software developers looking for ideas on how to build Kafka client tools that allow producer/consumer interactions protected by schema-based event definitions while hiding details of the underlying infrastructure.
The document discusses different web service stack architectures, including complex stacks designed for reliability, and simpler stacks using technologies like SOAP, REST, and XML over HTTP. Simpler stacks with less complexity allow for more innovation and easier development compared to complex stacks.
Streaming ETL for Data Lakes using Amazon Kinesis Firehose - May 2017 AWS Onl...Amazon Web Services
Learning Objectives:
- Understand key requirements for collecting, preparing, and loading streaming data into data lakes
- Get an overview of transmitting data using Amazon Kinesis Firehose
- Learn how to perform data transformations with Amazon Kinesis Firehose
Data lakes enable your employees across the organization to access and analyze massive amounts of unstructured and structured data from disparate data sources, many of which generate data continuously and rapidly. Making this data available in a timely fashion for analysis requires a streaming solution that can durably and cost-effectively ingest this data into your data lake. Amazon Kinesis Firehose is a fully managed service that makes it easy to prepare and load streaming data into AWS. In this tech talk, we will provide an overview of Amazon Kinesis Firehose and dive deep into how you can use the service to collect, transform, batch, compress, and load real-time streaming data into your Amazon S3 data lakes.
Compare Cloud Services: AWS vs Azure vs Google vs IBMRightScale
Most enterprises are leveraging multiple clouds, but it can be difficult to understand which services are available in each cloud and how they compare. If you are looking to move a workload, you may not know what the equivalent services are on a different cloud. We outline the services available for each public cloud provider and share a free tool to compare public cloud features.
This is an introduction to the modern cloud technology landscape and what it takes to migrate Oracle databases to the cloud and operate them there. The attendees will learn about cloud concepts and what are the various options of running databases in the cloud Infrastructure as a Service (IaaS) or Platform as a Service (PaaS).
Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.
This document discusses Vocus Communications' cloud connectivity services in New Zealand. It summarizes Vocus' role as an AWS Direct Connect partner, providing both dedicated and virtual private connections between customer networks and AWS. It also introduces Vocus' Cloud Connect product, which offers private, high-speed connections to AWS, Azure, and other public clouds from Australia and New Zealand. The document emphasizes that Cloud Connect can integrate with Vocus' existing Ethernet and IP-WAN networks to create simple, reliable, and secure hybrid cloud solutions for customers.
Deep Dive: Developing, Deploying & Operating Mobile Apps with AWS Amazon Web Services
This document discusses using AWS services to develop, test, and operate mobile apps. It describes how Amazon Mobile Analytics can be used to collect app usage data and gain insights. Amazon Machine Learning can then leverage this data to build predictive applications by identifying users likely to churn or purchase. The document also introduces AWS Device Farm for testing apps on real devices in the cloud and Amazon Simple Notification Service for sending messages to users.
Session Sponsored by Trend Micro: 3 Secrets to Becoming a Cloud Security Supe...Amazon Web Services
While security is a top concern in every organization these days, it often gets a bad rap. In many minds, security has the reputation of the bothersome villain who attempts to hinder performance or restrain agility. In this session we will outline three strategies to protect your valuable workloads, without falling into traditional security traps. We will walk through three stories of EC2 security superheroes who saved the day by overcoming compliance and design challenges, using a (not so) secret arsenal of AWS and Trend Micro security tools.
Key takeaways from this session include how to:
- Design a workload-centric security architecture
- Improve visibility of AWS-only or hybrid environments
- Stop patching live instances but still prevent exploits
Speaker: Sasha Pavlovic, Director, Cloud & Datacentre Security, Asia Pacific, Trend Micro
Protecting a small number of VPCs with a next-generation firewall is relatively easy, but what happens when you have hundreds of VPCs and regularly add more as business groups or new apps come on-line? How can you maintain a prevention architecture without slowing the business? One concept is to build a services VPC that protects your existing and new VPCs. This deep dive session will discuss how to integrate next-generation firewalls in a services VPC with the Palo Alto Networks VM-Series in AWS. Topics will include architectural design considerations, routing recommendations, and dynamic fail-over. Session sponsored by Palo Alto Networks.
AWS Summit Auckland - Building a Server-less Data Lake on AWSAmazon Web Services
This document discusses building a serverless data lake on AWS. It defines a data lake as providing massive storage for any type of data with enormous processing power. The key components of a data lake are storage and ingestion using Amazon S3 and Kinesis, a metadata catalog using DynamoDB and Elasticsearch, security using IAM and KMS, and an API/UI using Lambda and API Gateway. The document provides recommendations for implementing each component and demonstrates how to build a metadata index in Elasticsearch from S3 data using Lambda and DynamoDB. It concludes by discussing next steps like AWS training and certification.
Expanding Your Data Center with Hybrid Cloud InfrastructureAmazon Web Services
Cloud is a new common for the Hybrid IT strategies. In this session, we will explain what’s different between cloud and your datacenter as well as how to make your Hybrid Cloud strategies.
Creating Your Virtual Data Center: VPC Fundamentals and Connectivity OptionsAmazon Web Services
In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.
From the Amazon Web Services Singapore Summit 2015 Track 1 Breakout, 'Grow Your SMB Infrastructure on the AWS Cloud' Presented by Mark Statham
Senior Solutions Architect, ASEAN, Amazon Web Services and Head of Solutions Architect, ASEAN, Amazon Web Services
Aurora is Amazon's relational database service that is compatible with MySQL and PostgreSQL. It is optimized for fast performance, high availability, and automatic scaling. Aurora provides up to 5x better performance than MySQL and 3x better than PostgreSQL for the same cost. It automatically scales up to 64TB in storage and can support tens of thousands of low-latency transactions. Aurora replicates data across three Availability Zones for high availability and durability with storage replicated six ways. It is easy to use with simple pricing and management capabilities.
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryAmazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.
This document summarizes a session on developing Internet of Things (IoT) applications with AWS IoT, AWS Lambda, and AWS Cognito. The session will include deep dives on AWS IoT, patterns for building IoT applications, creating applications using the listed AWS services, and a customer story from EROAD. There will also be demonstrations and audience participation.
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryAmazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.
Andy Shenkler, Sony's EVP & Chief Solutions & Technology Officer's presentation to the Storage & Archive track at the Media & Entertainment Cloud Symposium on Nov 4, 2016
Migrating from the data center to the cloud requires users to rethink much of what they do to secure their applications. CloudCheckr COO Aaron Klein will highlight effective strategies and tools that AWS users can employ to improve their security posture. The idea of physical security morphs as infrastructure becomes virtualized by AWS APIs. In a new world of ephemeral, auto-scaling infrastructure, users need to adapt their security architecture to face both compliance and security threats. Specific emphasis will be placed upon leveraging native AWS services and the talk will include concrete steps that users can begin employing immediately. Session sponsored by CloudCheckr.
In this session, we walk through the Amazon VPC network presentation and describe the problems we were trying to solve when we created it. Next, we walk through how these problems are traditionally solved, and why those solutions are not scalable, inexpensive, or secure enough for AWS. Finally, we provide an overview of the solution that we've implemented and discuss some of the unique mechanisms that we use to ensure customer isolation, get packets into and out of the network, and support new features like VPC endpoints.
AWS Customers Saving Lives with Mobile Technology | AWS Public Sector Summit ...Amazon Web Services
View this presentation to understand how technological innovation can mean rapid intervention in situations that threaten lives. View examples from two customers that use AWS in very different situations who are both able to move quickly to address pressing societal problems partially due to their implementation of AWS and their reliance to mobile technology that allows them to scale beyond their own staff and resources and accelerate impact.
Want to get ramped up on how to use Amazon's big data web services and launch your first big data application on AWS? Join us on our journey as we build a big data application in real-time using Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon DynamoDB, and Amazon S3. We review architecture design patterns for big data solutions on AWS, and give you access to a take-home lab so that you can rebuild and customize the application yourself.
Choosing the Right Database for the Job: Relational, Cache, or NoSQL?Amazon Web Services
Developers and DBAs from a traditional relational background are spoilt for choice when looking to integrate caching and NoSQL into an application architecture to solve scaling problems and reduce costs. Even when using relational databases there are 3 managed database services on AWS for the MySQL engine alone. Trying to evaluate all the options often creates analysis paralysis, resulting in a reluctance to try something new or different. This session will guide you through a series of use cases that use different databases to solve business problems that customers face today.
Time to Science/Time to Results: Transforming Research in the CloudAmazon Web Services
This session demonstrates how cloud can accelerate breakthroughs in scientific research by providing on-demand access to powerful computing. You will gain insight into how scientific researchers are using the cloud to solve complex science, engineering, and business problems that require high bandwidth, low latency networking and very high compute capabilities. You will hear how leveraging the cloud reduces the costs and time to conduct large scale, worldwide collaborative research. Researchers can then access computational power, data storage, and supercomputing resources, and data sharing capabilities in a cost-efficient manner without implementation delays. Disease research can be accomplished in a fraction of the time, and innovative researchers in small schools or distant corners of the world have access to the same computing power as those at major research institutions by leveraging Amazon EC2, Amazon S3, optimizing C3 instances and more to increase collaboration. This session will provide best practices and insight from UC Berkeley AMP Lab on the services used to connect disparate sets of data to drive meaningful new insight and impact.
An overview of one of the worlds largest content delivery networks, how it is used for accerlation of websites and applications for dynamic and static content. We will cover recent feature additions including integration of the new AWS WAF and other security features.
Introduction to DDS: Context, Information Model, Security, and Applications.Gerardo Pardo-Castellote
Introduction to the Data-Distribution Service (DDS): Context and Applications.
This 50 minute presentation summarizes the main features of DDS including the information model, the type system, and security as well as how typical applications use DDS.
It was presented at the Canadian Government Information Day in Ottawa on September 2018.
There is also a video of this presentation at https://www.youtube.com/watch?v=6iICap5G7rw.
This document compares and contrasts the cloud platforms AWS, Azure, and GCP. It provides information on each platform's pillars of cloud services, regions and availability zones, instance types, databases, serverless computing options, networking, analytics and machine learning services, development tools, security features, and pricing models. Speakers then provide more details on their experience with each platform, highlighting key products, differences between the platforms, and positives and negatives of each from their perspective.
Open Source für den geschäftskritischen EinsatzMariaDB plc
The document summarizes MariaDB's Roadshow Bonn 2017 event. It discusses MariaDB's goals of building an easy to use, extensible, and deployable database. It outlines how MariaDB provides enterprise features like high availability and performance while also enabling open source innovation through community collaboration. Examples of large customers and their MariaDB implementations are provided, showing MariaDB's adoption across industries. Resources for learning more about MariaDB products and getting started with MariaDB are listed at the end.
How leading financial services organisations are winning with techMongoDB
Financial services organizations are adopting new technologies like cloud computing, big data, artificial intelligence, blockchain, and Internet of Things to improve business agility, reduce costs, and gain new insights from data. MongoDB is helping in areas like cloud data strategy, blockchain applications, mainframe offloading, and powering Internet of Things applications by providing a flexible, scalable database that can be deployed across on-premises, private cloud, and public cloud environments.
The document discusses Microsoft's Windows Azure Platform, which provides cloud computing services. It describes the advantages of cloud computing over traditional IT models, including flexibility, scalability, and reduced costs. It also outlines Microsoft's cloud offerings such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Finally, it promotes Windows Azure as a consistent platform for building hybrid on-premise and cloud applications and services.
(ARC346) Scaling To 25 Billion Daily Requests Within 3 Months On AWSAmazon Web Services
What if you were told that within three months, you had to scale your existing platform from 1,000 req/sec (requests per second) to handle 300,000 req/sec with an average latency of 25 milliseconds? And that you had to accomplish this with a tight budget, expand globally, and keep the project confidential until officially announced by well-known global mobile device manufacturers? That’s what exactly happened to us. This session explains how The Weather Company partnered with AWS to scale our data distribution platform to prepare for unpredictable global demand. We cover the many challenges that we faced as we worked on architecture design, technology and tools selection, load testing, deployment and monitoring, and how we solved these challenges using AWS.
Azure Data Explorer deep dive - review 04.2020Riccardo Zamana
Modern Data Science Lifecycle with ADX & Azure
This document discusses using Azure Data Explorer (ADX) for data science workflows. ADX is a fully managed analytics service for real-time analysis of streaming data. It allows for ad-hoc querying of data using Kusto Query Language (KQL) and integrates with various Azure data ingestion sources. The document provides an overview of the ADX architecture and compares it to other time series databases. It also covers best practices for ingesting data, visualizing results, and automating workflows using tools like Azure Data Factory.
Enterprise Cloud Computing with AWS for internal partner use. The document discusses how AWS provides cloud computing services including compute, storage, database, networking and other platform services. It highlights how AWS services like EC2, S3, EBS, RDS allow customers to improve agility, reduce costs and easily scale infrastructure compared to on-premise solutions. Examples are given of how various companies use AWS for applications, big data, disaster recovery and more.
Digital platforms are by nature resource intensive, expensive to build, and difficult to manage at scale. What if we can change this perception and help AWS customers architect a digital platform that is low cost and low maintenance? This session describes the underlying architecture behind a Digital Asset Management system powered by AWS abstracted services like AWS Lambda, Amazon CloudFront, and Amazon DynamoDB. We will deep into an approach to microservices architecture on serverless environments and demonstrate how anyone can architect AWS abstracted services to achieve high scalability, high availability, and high performance without huge efforts or expensive resources allocation.
Stream Processing – Concepts and FrameworksGuido Schmutz
More and more data sources today provide a constant stream of data, from IoT devices to Social Media streams. It is one thing to collect these events in the velocity they arrive, without losing any single message. An Event Hub and a data flow engine can help here. It’s another thing to do some (complex) analytics on the data. There is always the option to first store in a data sink of choice and later analyze it. Storing even a high-volume event stream is feasible and not a challenge anymore. But this adds to the end-to-end latency and it takes minutes if not hours to present results. If you need to react fast, you simply can’t afford to first store the data. You need to do process it directly on the data stream. This is called Stream Processing or Stream Analytics. In this talk I will present the important concepts, a Stream Processing solution should support and then dive into some of the most popular frameworks available on the market and how they compare.
The document discusses several technology topics including:
1. SOA and its benefits such as facilitating interoperability and promoting technology reuse.
2. Cloud computing and common questions around it such as what cloud computing is, how many clouds there will be, and what's new in cloud computing.
3. An example scenario of a company called FredsList gradually adopting more cloud capabilities for their listings website, from basic storage to search, photos, analytics and performance optimization.
This document provides an overview of cloud computing options and considerations for migrating to the cloud. It discusses infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) deployment models. It also covers assessing the current environment, defining the migration scope, and customizing the migration approach and destination environment. The document emphasizes understanding business needs, having a plan for flexibility as capabilities evolve rapidly, and using migration as an opportunity to restructure content and optimize storage.
Moving to cloud computing step by step linthicumDavid Linthicum
The document discusses cloud computing and its relationship to service-oriented architecture (SOA). It defines the three layers of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It also discusses considerations for moving applications and services to public, private or hybrid clouds.
The document summarizes key points from the AWS Summit 2014 including:
1. Werner Vogels, CTO of Amazon, discussed how AWS hosts over 150,000 people on any given night across its services like hotels, music, magazines, and storage.
2. Dror Sharon of Consumer Physics talked about six trends seen in modern "cloud native" applications including being deployed automatically, cost awareness, global distribution, composed/orchestrated services, end-to-end encryption, and access across devices.
3. Ori Hasse of Magisto discussed how Amazon Cognito helps manage user identities and data synchronization across multiple devices and applications.
Public cloud spending is growing rapidly, with the public cloud market expected to reach $236 billion by 2020. While public cloud platforms are growing the fastest, cloud and on-premises environments still need to co-exist. There are different hybrid models organizations can choose from based on their environment, tiers, load requirements, and cloud readiness. A hybrid multi-cloud environment provides capabilities across infrastructure, security, integration, service operation, and service transition to manage applications and data across on-premises and multiple cloud platforms.
This document provides an overview of an AWS event. It includes details about the AWS business including $16B in annual revenue and over 135,000 active customers. It discusses the breadth of AWS services and tools available, positioning AWS as a leader in cloud infrastructure. The document outlines how AWS gives customers superpowers with super sonic speed and pace of innovation. It provides examples of how customers are using AWS services to transform their businesses.
Cisco Virtualized Multi-tenant Data Center solution (VMDC) is an architectural approach to IT which delivers a Cloud Ready Infrastructure. The architecture encompasses multiple systems and functions defining a standard framework for an IT organization. Standardization allows the organization to achieve operational efficiencies, reduce risk and achieve cost reductions while offering a consistent platform for business.
Cloud to hybrid edge cloud evolution Jun112020.pptxMichel Burger
Michel Burger discusses extending cloud computing to the edge by deploying microservices and other cloud-native technologies closer to endpoints and data sources. He outlines how software and computing models have evolved over time from mainframes to client-server architectures to modern cloud-native approaches. Burger also discusses principles for building cloud applications including designing for failure, scaling, and managing state.
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
“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.
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.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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.
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
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
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
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
6. Global Footprint
Over 1 million active customers across 190
countries
900+ government agencies
3,400+ educational institutions
11 regions
28 availability zones
53 edge locations
Everyday, AWS adds enough new server capacity to support Amazon.com
when it was a $7 billion global enterprise.
7. Infrastructure Regions Points of PresenceAvailability Zones
Core Services
Storage
(Object, Block
and Archival)
Compute
(VMs, Auto-scaling
and Load Balancing)
Databases
(Relational, NoSQL, Caching)
Networking
(VPC, DX, DNS)
CDN
Access Control
Usage
Auditing
Monitoring and
Logs
Administration &
Security
Key Storage
Identity
Management
Platform
Services
Deployment & Management
One-click web app
deployment
Dev/ops resource
management
Resource Templates Push Notifications
Mobile Services
Mobile Analytics
Identity
Sync
App Services
Workflow
Transcoding
Email
Search
Queuing &
Notifications
App streaming
Analytics
Hadoop
Data Pipelines
Data
Warehouse
Real-time
Streaming Data
Enterprise
Applications
Virtual Desktops Collaboration and Sharing
9. User A
User B
User C
Request A
OriginCloudFront
Amazon CloudFront
• Content Delivery Network
• 53 POPs
• Scales with demand while reducing load on your origin
• Dynamically routes to fastest edge location avoiding
slow or down POPs
10. What Can I Distribute Globally
Static Files
s
(EASY)
11. CREATE A CLOUDFRONT DISTRIBUTION
PARTITION YOUR TRAFFIC
(STATIC/DYNAMIC)
POINT STATIC CONTENT TO DISTRIBUTION
26. Routing based on lowest latency
TCP Optimizations
Persistent Connections
POST,PUT, DELETE,OPTIONS & PATCH
27. Separation of static and dynamic content
Persistent connections to each origin
Network paths monitored for performance
Routing based on lowest latency
TCP Optimizations
Persistent Connections
POST,PUT, DELETE,OPTIONS & PATCH