This document summarizes a presentation given by Chris Harwood of Healthdirect Australia about their migration to AWS and use of Trend Micro Deep Security. The key points are:
1) Healthdirect Australia provides various health services and needed to migrate to the cloud to improve scalability, security, and agility.
2) Migrating to AWS helped Healthdirect address issues like limited capacity, high costs, and inability to respond quickly with their traditional on-premises environment.
3) Security was a major concern for Healthdirect due to the sensitive healthcare data they handle. Trend Micro Deep Security provided host-based security that fit their needs on AWS.
4) Deep Security's agent-
High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
Managing Data with Amazon ElastiCache for Redis - August 2016 Monthly Webinar...Amazon Web Services
Many data sets, such as time-series collections or Internet of Things (IoT) deployments can include huge numbers of sensor reports and other data points, which can be a challenge to manage and aggregate. Amazon ElastiCache for Redis provides an on-demand managed service with the performance and scalability to turn big data into useful information. Join us to learn how to use Amazon ElastiCache to create serverless solutions that lets you rapidly make use of large and multisource data sets.
Learning Objectives:
• Learn how to ingest and analyze sensor data using Amazon ElastiCache for Redis and the AWS IoT Service
• Learn how to use ElastiCache Redis for Time-Series data
Managing Data with Voume Velocity, and Variety with Amazon ElastiCache for RedisAmazon Web Services
Learn how to use Amazon ElastiCache with AWS IoT and AWS Lambda to create serverless solutions that let you rapidly make use of large and multisource data sets.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)Amazon Web Services
Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of RDS and all the different options available. We do a deep dive into how RDS works and the best practises to achive the optimal perfomance, flexibility, and cost saving for your databases.
High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.
Deep Dive on Elastic File System - February 2017 AWS Online Tech TalksAmazon Web Services
Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.
Learning Objectives:
• Recognize why and when to use Amazon EFS
• Understand key technical/security concepts
• Learn how to leverage EFS’s performance
• See a demo of EFS in action
• Review EFS’s economics
Managing Data with Amazon ElastiCache for Redis - August 2016 Monthly Webinar...Amazon Web Services
Many data sets, such as time-series collections or Internet of Things (IoT) deployments can include huge numbers of sensor reports and other data points, which can be a challenge to manage and aggregate. Amazon ElastiCache for Redis provides an on-demand managed service with the performance and scalability to turn big data into useful information. Join us to learn how to use Amazon ElastiCache to create serverless solutions that lets you rapidly make use of large and multisource data sets.
Learning Objectives:
• Learn how to ingest and analyze sensor data using Amazon ElastiCache for Redis and the AWS IoT Service
• Learn how to use ElastiCache Redis for Time-Series data
Managing Data with Voume Velocity, and Variety with Amazon ElastiCache for RedisAmazon Web Services
Learn how to use Amazon ElastiCache with AWS IoT and AWS Lambda to create serverless solutions that let you rapidly make use of large and multisource data sets.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business.
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)Amazon Web Services
Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of RDS and all the different options available. We do a deep dive into how RDS works and the best practises to achive the optimal perfomance, flexibility, and cost saving for your databases.
Amazon Relational Database Service – How is it different to what you do today ?Amazon Web Services
Whether you are new to Amazon Relational Database Service (RDS) or just need a refresher on the latest features - this session is for you. We will take you through RDS from the perspective of how you manage your databases on-premise today. That is, we will describe the full lifecycle of a database from provisioning to decommissioning while taking into consideration your performance, scalability, availability, security and maintenance requirements.
AWS re:Invent 2016: FINRA in the Cloud: the Big Data Enterprise (ENT313)Amazon Web Services
Large-scale enterprise migration can be a complex undertaking, especially for organizations that re-architect solutions to leverage the benefits of the Cloud. FINRA, which regulates US equities and options markets, recently completed a 2.5-year migration and re-architecture of its Big Data platform. Their platform consumes billions of market events every day. FINRA has developed scalable platforms and services on AWS that enable migrating enterprise applications and business functions to the Cloud quickly. Their data management platform takes advantage of AWS storage and compute products. In this session, IT influencers and decision makers will learn lessons from FINRA’s migration, including how to create an enterprise-class Cloud architecture and which technology skills are required for transitioning to the Cloud. We also share examples of the business value FINRA has realized.
Deep Dive on MySQL Databases on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about MySQL deployment options on AWS
- Learn how to maintain high availability and security of your data
- Learn how to migrate MySQL databases to Amazon RDS
AWS re:Invent 2016: Case Study: How Atlassian Uses Amazon EFS with JIRA to Cu...Amazon Web Services
At Atlassian, we create popular software tools to help every team unleash their full potential. We use our issue tracking tool JIRA to handle customer support issues from around the globe. As the business grew, we decided to move from a single server instance of JIRA to our JIRA Data Center product on AWS infrastructure to increase reliability, scale, and security. JIRA Data Center's requirement to use a shared file system caused us to try several in-house and third-party solutions prior to the availability of Amazon Elastic File System (Amazon EFS). We chose EFS for its performance, ease of use, automatic scaling, and out-of-the-box distribution capabilities. In this session, we discuss how Atlassian uses EFS to run JIRA Data Center. Topics include the technical architecture, how and why we chose EFS, our recommendations, and the lessons learned along the way.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories.
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMRAmazon Web Services
Organizations need to perform increasingly complex analysis on their data — streaming analytics, ad-hoc querying and predictive analytics — in order to get better customer insights and actionable business intelligence. However, the growing data volume, speed, and complexity of diverse data formats make current tools inadequate or difficult to use. Apache Spark has recently emerged as the framework of choice to address these challenges. Spark is a general-purpose processing framework that follows a DAG model and also provides high-level APIs, making it more flexible and easier to use than MapReduce. Thanks to its use of in-memory datasets (RDDs), embedded libraries, fault-tolerance, and support for a variety of programming languages, Apache Spark enables developers to implement and scale far more complex big data use cases, including real-time data processing, interactive querying, graph computations and predictive analytics. In this session, we present a technical deep dive on Spark running on Amazon EMR. You learn why Spark is great for ad-hoc interactive analysis and real-time stream processing, how to deploy and tune scalable clusters running Spark on Amazon EMR, how to use EMRFS with Spark to query data directly in Amazon S3, and best practices and patterns for Spark on Amazon EMR.
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksAmazon Web Services
• Get an overview of managed database services available on AWS
• Learn how to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on your use case
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be economical. We will cover how each service might help support your application and how to get started.
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management.
AWS re:Invent 2016: Introduction to Managed Database Services on AWS (DAT307)Amazon Web Services
Which database is best suited for your use case? Should you choose a relational database or NoSQL or a data warehouse for your workload? Would a managed service like Amazon RDS, Amazon DynamoDB, or Amazon Redshift work better for you, or would it be better to run your own database on Amazon EC2? FanDuel has been running its fantasy sports service on Amazon Web Services (AWS) since 2012. You will learn best practices and insights from FanDuel’s successful migrations from self-managed databases on EC2 to fully-managed database services.
This is an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
AWS re:Invent 2016: Workshop: Stretching Scalability: Doing more with Amazon ...Amazon Web Services
Easy scalability is a powerful feature of Amazon Aurora. Scalability in its actual definition refers to being able to get larger or smaller depending on the need. Amazon Aurora allows you to easily achieve this by scaling the database instance up or down and adding or removing read replicas. Scaling across regions brings additional resilience to your architectures and could boost your application performance due to geographic proximity. You can perform all of these scaling operations through the Aurora console. You can also automate instance and read scaling using lambda function or scripts based on the usage pattern you define. You can extend the automation by feeding your database usage data from Aurora enhanced monitoring into Machine Learning to provide more sophisticated predictive patterns to drive your automation. In this session we will do a deep dive into how scalability works in Aurora and how to make the best use of it to reduce your cost, increase application performance and architect resilient applications.
You should have good database knowledge and at least some experience with Amazon RDS or Amazon Aurora and should bring your own laptop.
AWS re:Invent 2016: Case Study: How Monsanto Uses Amazon EFS with Their Large...Amazon Web Services
At Monsanto, we build and use technologies that support our data and also BI efforts that facilitate intelligent, data-driven decisions. In the past year, we've embarked on large-scale efforts to modernize our geospatial platform and improve our analytic processing capabilities by building out new cloud and open-source based services. We found using Amazon Elastic File System (Amazon EFS) gave us the flexibility and performance we were seeking while saving us significant time, effort, and cost. In this session, we discuss how Monsanto uses the Amazon EFS service to run our large scaling geospatial data sets such as raster, and to perform highly parallelized analytics for data scientists and business users. Topics include the technical architecture, how and why we chose EFS for handling data sets that are terabytes in size, our recommendations, and the lessons learned along the way.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
AWS re:Invent 2016: Host a massively scalable website around the world for a ...Amazon Web Services
A worldwide dynamic website infrastructure at the cost and simplicity of a static deployment was once an unachievable dream. That’s no longer the case with the tools and services that AWS offers like Amazon CloudFront, Amazon S3, Amazon API Gateway and AWS Lambda. During this session we will discuss a DevOps approach to managing your code repositories, code quality, continuous integration and deployments. We discuss some static website generators such as mkdocs, Jekyll, and middleman for building knowledge bases, blogs and websites in a serverless architecture.
Featuring an ideal use case for implementing a serverless architecture combining Amazon CloudFront, Amazon S3 and Amazon API Gateway; we explore how we deployed a massively scaled web application for a fraction of the cost of traditional dynamic websites leveraging a world-wide CDN. Going serverless significantly reduced operational costs and complexity because the infrastructure scales on demand without having to manually provision new servers on the ready. Finally, we share the lessons learned and the advantages of this move, leveraging Cloudnexa’s vNOC product which allows for a faster, more affordable user experience. Session sponsored by Cloudnexa.
AWS Competency Partner
Amazon Relational Database Service – How is it different to what you do today ?Amazon Web Services
Whether you are new to Amazon Relational Database Service (RDS) or just need a refresher on the latest features - this session is for you. We will take you through RDS from the perspective of how you manage your databases on-premise today. That is, we will describe the full lifecycle of a database from provisioning to decommissioning while taking into consideration your performance, scalability, availability, security and maintenance requirements.
AWS re:Invent 2016: FINRA in the Cloud: the Big Data Enterprise (ENT313)Amazon Web Services
Large-scale enterprise migration can be a complex undertaking, especially for organizations that re-architect solutions to leverage the benefits of the Cloud. FINRA, which regulates US equities and options markets, recently completed a 2.5-year migration and re-architecture of its Big Data platform. Their platform consumes billions of market events every day. FINRA has developed scalable platforms and services on AWS that enable migrating enterprise applications and business functions to the Cloud quickly. Their data management platform takes advantage of AWS storage and compute products. In this session, IT influencers and decision makers will learn lessons from FINRA’s migration, including how to create an enterprise-class Cloud architecture and which technology skills are required for transitioning to the Cloud. We also share examples of the business value FINRA has realized.
Deep Dive on MySQL Databases on AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about MySQL deployment options on AWS
- Learn how to maintain high availability and security of your data
- Learn how to migrate MySQL databases to Amazon RDS
AWS re:Invent 2016: Case Study: How Atlassian Uses Amazon EFS with JIRA to Cu...Amazon Web Services
At Atlassian, we create popular software tools to help every team unleash their full potential. We use our issue tracking tool JIRA to handle customer support issues from around the globe. As the business grew, we decided to move from a single server instance of JIRA to our JIRA Data Center product on AWS infrastructure to increase reliability, scale, and security. JIRA Data Center's requirement to use a shared file system caused us to try several in-house and third-party solutions prior to the availability of Amazon Elastic File System (Amazon EFS). We chose EFS for its performance, ease of use, automatic scaling, and out-of-the-box distribution capabilities. In this session, we discuss how Atlassian uses EFS to run JIRA Data Center. Topics include the technical architecture, how and why we chose EFS, our recommendations, and the lessons learned along the way.
Strategic Uses for Cost Efficient Long-Term Cloud StorageAmazon Web Services
Compared to storing long-term datasets on-premises, archiving in the cloud is a smart alternative whether you’re looking for an active archive solution, tape replacement, or to fulfill a compliance requirement. Learn how AWS customers are simplifying their archiving strategy and meeting compliance needs using Amazon Glacier. Hear how customers have evolved their backup and disaster recovery architectures and replaced tape solutions by turning to AWS for a more cost efficient, durable and agile solution. We will showcase Sony DADC's active archive deployment on Glacier and demo how some of our financial service customers have set up compliant archives to meet their regulatory objectives.
Amazon RDS allows you to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you to focus on your applications and business. We’ll discuss Amazon RDS fundamentals, learn about the seven available database engines, and examine customer success stories.
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMRAmazon Web Services
Organizations need to perform increasingly complex analysis on their data — streaming analytics, ad-hoc querying and predictive analytics — in order to get better customer insights and actionable business intelligence. However, the growing data volume, speed, and complexity of diverse data formats make current tools inadequate or difficult to use. Apache Spark has recently emerged as the framework of choice to address these challenges. Spark is a general-purpose processing framework that follows a DAG model and also provides high-level APIs, making it more flexible and easier to use than MapReduce. Thanks to its use of in-memory datasets (RDDs), embedded libraries, fault-tolerance, and support for a variety of programming languages, Apache Spark enables developers to implement and scale far more complex big data use cases, including real-time data processing, interactive querying, graph computations and predictive analytics. In this session, we present a technical deep dive on Spark running on Amazon EMR. You learn why Spark is great for ad-hoc interactive analysis and real-time stream processing, how to deploy and tune scalable clusters running Spark on Amazon EMR, how to use EMRFS with Spark to query data directly in Amazon S3, and best practices and patterns for Spark on Amazon EMR.
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksAmazon Web Services
• Get an overview of managed database services available on AWS
• Learn how to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on your use case
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be economical. We will cover how each service might help support your application and how to get started.
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement – from milliseconds to microseconds – even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management.
AWS re:Invent 2016: Introduction to Managed Database Services on AWS (DAT307)Amazon Web Services
Which database is best suited for your use case? Should you choose a relational database or NoSQL or a data warehouse for your workload? Would a managed service like Amazon RDS, Amazon DynamoDB, or Amazon Redshift work better for you, or would it be better to run your own database on Amazon EC2? FanDuel has been running its fantasy sports service on Amazon Web Services (AWS) since 2012. You will learn best practices and insights from FanDuel’s successful migrations from self-managed databases on EC2 to fully-managed database services.
This is an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
AWS re:Invent 2016: Workshop: Stretching Scalability: Doing more with Amazon ...Amazon Web Services
Easy scalability is a powerful feature of Amazon Aurora. Scalability in its actual definition refers to being able to get larger or smaller depending on the need. Amazon Aurora allows you to easily achieve this by scaling the database instance up or down and adding or removing read replicas. Scaling across regions brings additional resilience to your architectures and could boost your application performance due to geographic proximity. You can perform all of these scaling operations through the Aurora console. You can also automate instance and read scaling using lambda function or scripts based on the usage pattern you define. You can extend the automation by feeding your database usage data from Aurora enhanced monitoring into Machine Learning to provide more sophisticated predictive patterns to drive your automation. In this session we will do a deep dive into how scalability works in Aurora and how to make the best use of it to reduce your cost, increase application performance and architect resilient applications.
You should have good database knowledge and at least some experience with Amazon RDS or Amazon Aurora and should bring your own laptop.
AWS re:Invent 2016: Case Study: How Monsanto Uses Amazon EFS with Their Large...Amazon Web Services
At Monsanto, we build and use technologies that support our data and also BI efforts that facilitate intelligent, data-driven decisions. In the past year, we've embarked on large-scale efforts to modernize our geospatial platform and improve our analytic processing capabilities by building out new cloud and open-source based services. We found using Amazon Elastic File System (Amazon EFS) gave us the flexibility and performance we were seeking while saving us significant time, effort, and cost. In this session, we discuss how Monsanto uses the Amazon EFS service to run our large scaling geospatial data sets such as raster, and to perform highly parallelized analytics for data scientists and business users. Topics include the technical architecture, how and why we chose EFS for handling data sets that are terabytes in size, our recommendations, and the lessons learned along the way.
Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.
AWS re:Invent 2016: Host a massively scalable website around the world for a ...Amazon Web Services
A worldwide dynamic website infrastructure at the cost and simplicity of a static deployment was once an unachievable dream. That’s no longer the case with the tools and services that AWS offers like Amazon CloudFront, Amazon S3, Amazon API Gateway and AWS Lambda. During this session we will discuss a DevOps approach to managing your code repositories, code quality, continuous integration and deployments. We discuss some static website generators such as mkdocs, Jekyll, and middleman for building knowledge bases, blogs and websites in a serverless architecture.
Featuring an ideal use case for implementing a serverless architecture combining Amazon CloudFront, Amazon S3 and Amazon API Gateway; we explore how we deployed a massively scaled web application for a fraction of the cost of traditional dynamic websites leveraging a world-wide CDN. Going serverless significantly reduced operational costs and complexity because the infrastructure scales on demand without having to manually provision new servers on the ready. Finally, we share the lessons learned and the advantages of this move, leveraging Cloudnexa’s vNOC product which allows for a faster, more affordable user experience. Session sponsored by Cloudnexa.
AWS Competency Partner
Database Migration – Simple, Cross-Engine and Cross-Platform MigrationAmazon Web Services
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
Learn more about the role and tasks of a container management solution and analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other.
DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer ToolsAmazon Web Services
Today’s cutting-edge companies have software release cycles measured in days instead of months. This agility is enabled by the DevOps practice of continuous delivery, which automates building, testing, and deploying all code changes. This automation helps you catch bugs sooner and accelerates developer productivity. In this session, we’ll share the processes that Amazon’s engineers use to practice DevOps and discuss how you can bring these processes to your company by using a new set of AWS tools (AWS CodePipeline and AWS CodeDeploy). These services were inspired by Amazon's own internal developer tools and DevOps culture.
Learn more about Alexa, the voice service that powers Amazon Echo, provides capabilities, or skills, that enable customers to interact with devices in a more intuitive way using voice.
AWS re:Invent 2016: AWS GovCloud (US) for Highly Regulated Workloads (WWPS301)Amazon Web Services
Learn how to architect for compliance in the AWS cloud and see how your organization can leverage the agility, cost savings, scalability, and flexibility of the cloud while meeting the most stringent regulatory and compliance requirements, including Federal Risk and Authorization Management Program (FedRAMP), ITAR, CJIS, HIPAA, and DoD Cloud Computing Security Requirements Guide (SRG) Levels 2 and 4. Hear best practices and practical use cases for using AWS GovCloud (US) to comply with a variety of regulatory regimes.
Join this session to understand what drives Global and Asia Pacific Financial Services Institutions (FSI) of all sizes to adopt the cloud and how they get started on their journey. This presentation will also include how they leverage the cloud to address specific industry challenges and create business value.
AWS re:Invent 2016: How Harvard University Improves Scalable Cloud Network Se...Amazon Web Services
With constantly evolving threats across the Internet, Harvard University deployed a security network platform to mitigate cyber threats, current and future, to protect institutional and research data. By using multiple geographic locations, best of breed equipment, and network automation, Harvard provides visibility, availability, and multilayer protections for their cloud network. This talk discusses the benefits, considerations, and lessons learned from using their security network platform at the edge of the cloud. Learn how Harvard designed and deployed the platform, utilizing serverless architecture to orchestrate the solution from within to protect their most sensitive data and afford students, faculty, and staff the flexibility of cloud computing.
Amazon WorkSpaces is a secure, managed, virtual desktop service running on the AWS cloud. The service helps organizations support a modern mobile workforce, improve information security, and save money with a pay-as-you-go model. In this session, we'll cover how cloud desktops can benefit your organization, what's new with Amazon WorkSpaces, and some of the top technical considerations like user identity and access management, VPC design, network traffic flow, and application delivery. This session is for IT professionals and business decision makers interested in learning how to simplify desktop management and productivity for their organizations.
Building Serverless Backends with AWS Lambda and Amazon API GatewayAmazon Web Services
AWS Lambda is a compute service that runs your code without provisioning or managing servers. Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale.
This session will familiarize you with the basics of AWS Lambda and Amazon API Gateway and demonstrate how to build web, mobile, and IoT backends using these services. You will learn how to setup API endpoints that trigger AWS Lambda functions to handle mobile, web, IoT, and 3rd party API requests. You will also learn how to use Lambda to read and write to Amazon DynamoDB. We will run through a demo of setting up a simple serverless blogging web application that allows user authentication and the ability to create posts and comments.
AWS re:Invent 2016: Disaster Recovery and Business Continuity for Systemicall...Amazon Web Services
Modern financial services organizations rely heavily on technology and automated systems to run business-as-usual. However, if this technology were interrupted by natural disasters or other events, there could be a devastating impact on investors and market participants, and in turn your reputational brand. In this session, we provide a step-by-step disaster recovery solution employed by a major exchange. This solution leverages Amazon EC2 Container Service to provide Docker containers, Weave Net to support a multicast overlay network that enables high volume multicast feeds in a cloud environment, and AWS CloudFormation for the ability to easily create and manage AWS assets. The session also covers the importance of redundancy (not just operationally, but for SEC compliance reasons as well) and how financial services organizations can increase geographical diversification of their primary and disaster recovery data centers. We dive deep into each major component of the solution.
Amazon Machine Learning Case Study: Predicting Customer ChurnAmazon Web Services
We do a deeper dive into Amazon Machine Learning, using a specific business problem as an example – predicting if the customer is about to leave your service, also known as customer churn. We examine several practical aspects of building and using a model, including the use of the recipe language for training data manipulation and modeling the costs of false positive/negative errors.
AWS re:Invent 2016: Analyzing Streaming Data in Real-time with Amazon Kinesis...Amazon Web Services
As more and more organizations strive to gain real-time insights into their business, streaming data has become ubiquitous. Typical streaming data analytics solutions require specific skills and complex infrastructure. However, with Amazon Kinesis Analytics, you can analyze streaming data in real-time with standard SQL—there is no need to learn new programming languages or processing frameworks.
In this session, we dive deep into the capabilities of Amazon Kinesis Analytics using real-world examples. We’ll present an end-to-end streaming data solution using Amazon Kinesis Streams for data ingestion, Amazon Kinesis Analytics for real-time processing, and Amazon Kinesis Firehose for persistence. We review in detail how to write SQL queries using streaming data and discuss best practices to optimize and monitor your Amazon Kinesis Analytics applications. Lastly, we discuss how to estimate the cost of the entire system.
3 Secrets to Becoming a Cloud Security Superhero - Session Sponsored by Trend...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
McAfee Skyhigh: Elevating Your AWS Security Posture (SEC307-S) - AWS re:Inven...Amazon Web Services
According to Gartner, the IaaS market grew at a blistering 42.8% in 2017—twice as fast as SaaS. And with last year’s high-profile data exposures, the focus on bolstering IaaS security practices has increased. We’ve worked with AWS and hundreds of IaaS security professionals to develop a list of security practices specifically designed to protect AWS environments and the applications and data within them. In this session, you’ll discover: common yet preventable scenarios that can result in the loss of corporate data, security best practices for user and admin behavior monitoring, secure auditable configuration, Amazon S3 data loss and threat prevention, blueprints for how a solution-based approach (including bridging to your on-premises best practices) can provide IaaS visibility and control, step-by-step guidance on how to gain visibility across all workloads, protect against advanced threats, and discover insights into lateral threat movements, and recommendations for creating a successful DevOps workflow that integrates security.
CIS 2015 Identity and Data Security : Breaking the Boundaries - Nathanael Cof...CloudIDSummit
IAM and the rest of the security stack -- network and applications firewalls, threat and intrusion detection -- are often treated as entirely separate silos. It's time this changed. By orchestrating and integrating these disparate systems, information from the data security tier can inform your IAM processes in real-time, leading to better Authorization decisions and provide user experience improvements. This workshop, informed by and demonstrating real-world examples, will provide insight into the kind of cross-system orchestration that can help make a tangible difference to your security and to usability.
CloudPassage Best Practices for Automatic Security ScalingAmazon Web Services
Organizations that are transitioning from a traditional data center to an on-demand IT environment, such as AWS, are quickly finding that automating and scaling legacy security services for comprehensive workload security can be challenging. In light of these challenges, it is necessary to deploy a security solution that employs the same versatility and elasticity as the cloud workloads it is meant to protect. CloudPassage® Halo® provides virtually instant visibility and continuous protection for servers in any combination of data centers, private clouds and public clouds like AWS. Join Xero and CloudPassage to learn about best practices for migrating your security workloads to the cloud.
Join us to learn:
- Best practices for maintaining workload security
- How you can align cloud security deployment methods with on-premises deployment methods
- Key considerations for architecting your infrastructure to scale quickly and securely
Who should attend: CTOs, CIOs, CISOs, Directors and Managers of Security, IT Administers, IT Architects and IT Security Engineers
In this session you will learn why you need to shift from vulnerability detection only to a holistic web application defense strategy. We’ll outline the top three ways to improve your web app security and share how others have developed an integrated, comprehensive strategy that reduces costs and improves the balance between security and app functionality.
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 four 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.
Andrew Watts-Curnow, Solutions Architect, Amazon Web Services, ASEAN
Justin Foster, CISSP Head of Cloud Workload Security, Trend Micro
You automated your deployment, elasticized your workloads, and dynamically provisioned your fleet. What do you do next?
Tackle automating your security needs using the latest capabilities in the cloud! There’s no single path to building an automated and continuous security architecture that works for every organization, but certain key principles and techniques are used by the early adopter cloud elite that give them distinct advantages. It's time to re-think your organization’s processes and behaviors to demonstrate the latest efficiencies in your security operations. In this webinar, learn how Intuit implements cloud security automation with Evident.io and other innovative cloud technologies.
Join us to learn:
• How security will be integrated into the overall processes of development and deployment.
• How to tie security acceptance tests, a subset of your key security controls, right into the end of your functional testing process to promote builds with confidence at greater speed.
• How to be successful with API-enabled, continuous security tools in the cloud.
• How to operationalize security alarms, enabling world-class incident response and remediation capabilities.
You automated your deployment, elasticized your workloads, and dynamically provisioned your fleet. What do you do next?
Tackle automating your security needs using the latest capabilities in the cloud! There’s no single path to building an automated and continuous security architecture that works for every organization, but certain key principles and techniques are used by the early adopter cloud elite that give them distinct advantages.
It's time to re-think your organization’s processes and behaviors to demonstrate the latest efficiencies in your security operations.
In this webinar, learn how Intuit implements cloud security automation with Evident.io and other innovative cloud technologies.
This slide deck covers:
- How security will be integrated into the overall processes of development and deployment.
- How to tie security acceptance tests, a subset of your key security controls, right into the end of your functional testing process to promote builds with confidence at greater speed.
- How to be successful with API-enabled, continuous security tools in the cloud.
- How to operationalize security alarms, enabling world-class incident response and remediation capabilities.
Take It to the Cloud: The Evolution of Security ArchitecturePriyanka Aash
As companies evolve their IT stack, traditional security approaches/architectures need to be reconsidered. This session will review some of the new risks introduced by SaaS/IaaS adoption and show how to mitigate these risks using new approaches to security architecture. Presenters will also review the transition of security architecture itself to the cloud.
(Source: RSA USA 2016-San Francisco)
the_role_of_resilience_data_in_ensuring_cloud_security.pptxsarah david
Enhance data security with our Data Resilience Cloud. No software/hardware; solve security challenges. Scale resources dynamically. Achieve resilience, efficiency, compliance. Partner with Cuneiform for seamless cloud data protection.
Demystifying Cloud Security: Lessons Learned for the Public SectorAmazon Web Services
As government agencies expand the use of cloud services, security continues to be a top priority for program managers, policymakers, and cloud service providers (CSPs). Governments and agencies worldwide are moving workloads with varying levels of sensitivity to the cloud. This session will feature agency-level security risk management practices and address common myths about security in the cloud. Participants will gain insight into how governments are leveraging cloud computing to improve their security posture and more quickly benefit from economies of scale.
Mark Ryland, Chief Solutions Architect, Amazon Web Services, WWPS
Whether you’re just beginning to explore cloud computing or adopting it at enterprise-scale, it is important to build security into your architecture. But gone are the days of manual security audits that slow down agile development. Your modern continuous integration and continuous delivery architecture demands continuous security that doesn’t hinder DevOps. In this session, we’ll share tips to help your organization embrace DevSecOps. Presented by RedLock.
Similar to AWS Summit Auckland Platinum Sponsor presentation - Trend Micro (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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
22. Shapeshift for Amazon Web Services
• Security inside each workload
• Protect instance-to-instance
traffic
• Make it context sensitive (fast and
low false-positive)
• No bottleneck
• No single point of failure
= CLOUD FRIENDLY
IPS
29. Make Security Invisible for Amazon Web Services
• Build it in, not bolt on
• Fully automate security
• Automate record keeping for
auditors
= SECURITY
DESIGNED FOR AWS
33. Use X-ray vision on Amazon Web Services
• Use Integrity Monitoring and
Log monitoring to see inside
instances
• Detect suspicious changes that
are indicators of compromise
and unintended changes
= Total visibility
34. AWS is continuously independently audited
GxP
ISO 13485
AS9100
ISO/TS 16949
AWS Foundation Services
Compute Storage Database Networking
AWS Global Infrastructure
Regions
Availability Zones
Edge
Locations
AWS is
responsible for
the security OF
the Cloud
35. AWS Foundation Services
Compute Storage Database Networking
AWS Global Infrastructure
Regions
Availability Zones
Edge
Locations
Client-side Data
Encryption
Server-side Data
Encryption
Network Traffic
Protection
Platform, Applications, Identity
& Access Management
Operating System, Network, & Firewall Configuration
Customer applications & content
Customers have
their choice of
security
configurations IN
the Cloud
AWS is
responsible for
the security OF
the Cloud
Security is shared between AWS and customers
Customers
Partner solutions – including
Trend Micro
36. SANS/CIS TOP 20 CRITICAL SECURITY CONTROLS
1. Inventory of Authorized & Unauthorized Devices 11. Secure Configurations for Network Devices
2. Inventory of Authorized & Unauthorized Software 12. Boundary Defense
3. Secure Configurations for Hardware & Software on
Mobile Devices, Laptops, Workstations, & Servers
13. Data Protection
4. Continuous Vulnerability Assessment & Remediation 14. Controlled Access Base on the Need to Know
5. Controlled Use of Administrative Privileges 15. Wireless Access Control
6. Maintenance, Monitoring, & Analysis of Audit Logs 16. Account Monitoring & Control
7. Email and Web Browser Protections
17. Security Skills Assessment & Appropriate Training
to Fill Gaps
8. Malware Defenses 18. Application Software Security
9. Limitation and Control of Network Ports, Protocols,
and Services
19. Incident Response Management
10. Data Recovery Capability 20. Penetration Tests & Red Team Exercises
41. Now to Introduce a Real World Superhero!
Chris Harwood
Healthdirect Australia
42. A little bit about Healthdirect
No matter where people live, or what time of the day or night it is, they can talk to a professional, find trusted advice
online about how to manage their issue, and locate the closest appropriate and open service that meets their
needs.
mindhealthconnect
after hours GP helpline
My Aged Care
Carer Gateway
healthdirect
Pregnancy, Birth and Baby
National Health
Services Directory
43. Healthdirect Australia Timeline
mindhealthconnect
(mental health
website)
2012
after hours
GP helpline
2011
Pregnancy,
Birth and Baby
service
2010healthdirect
24/7 nurse triage
helpline
2008
Established as
the National
Health Call
Centre Network
2006/
2007
Carer
Gateway
2015
My Aged Care
Gateway
2013/
2014
National Health
Services Directory
2012
44. Risks of Healthdirect’s Traditional Environment
Risk Description Rating
Insufficient capacity Scalability is limited by physical hardware High
Limited environments Sufficient environments too expensive High
Ageing servers Existing servers will need replacement within two years Moderate
Lack of agility New work is continually changing what is required of our
infrastructure
Moderate
Difficult to manage No consistency of management and service quality in
the previously fragmented solution
Moderate
Inability to respond
timeously
Procurement lead times too long and inability to try new
things
Extreme
Cost inefficiency Over investment is required in order to manage peak
loads
Moderate
45. Drivers for Amazon Web Services
Improved
security
The world is
software
Easily Scale Up
and Down
Improve Agility &
Time to Market
Pay only for
what you use
Ability to optimise
Performance
Increased
Availability
Reduced skills
requirements
46. Security is critical for Healthdirect Australia
Together Government and Healthcare made up over 40%
of all data breaches in 2015
Trend Micro Follow The Data Report
47. Security Challenges
• Information Security Manual Compliance
• HIDS/HIPS mandatory
• Patching controls
• Small security staff complement for large
diverse platform
• Privacy Act and sensitive data protection
• Perimeter is NOT good enough any more
48. Security Challenges
• Understanding the shared responsibility
model
• Moving security staff from gatekeepers to
participants
• Effective management of log and
monitoring data
49. Trend Micro Deep Security to the Rescue
• DISA certified
• Host based firewalling and intrusion prevention
• Antivirus and anti-malware
• File integrity monitoring
• Log inspection
50. Trend Micro Deep Security to the Rescue (cont…)
• Server and desktop/laptop protection
• Single management ‘pane of glass’
• Trusted SSL certificate issuing
51. Why Deep Security Works for Us
• Healthdirect ISM accredited on AWS in 2015
• Virtual patching provides a compensating control
• Agent based fits with continuous delivery practices and
secures AMIs above the hypervisor
52. Why Deep Security Works for Us (cont…)
• Usage based licensing fits with AWS autoscaling and
instance scheduling
• Minimised security impact on each node
• Great support and easy to configure
53. For an opportunity to:
• Learn more about Trend Micro;
• Q&A with the experts, and;
• Get started with a Deep Security trial
Come and speak to us at the Trend Micro booth.
Booth# P3