Today, it is critical that IT teams are able to easily, consistently deploy to production. Running Docker containers on Amazon Web Services makes it possible to engineer a compliant and DevOps-friendly environment from the ground up. Spring Venture Group successfully migrated to AWS with Docker containers and leveraged Logicworks to migrate to AWS and automate infrastructure build-out and deployment. Join our webinar to learn how Spring Venture Group, an innovative insurance brokerage, reduced risk and improved deployment velocity with Logicworks, AWS, and Docker.
It’s been an exciting year for Amazon Aurora, the database with MySQL-compatible and PostgreSQL-compatible database engines. Amazon Aurora combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, including high availability options, new integrations with AWS services, and the performance management with Amazon RDS Performance Insights.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
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.
Keeping Security In-Step with Your Application Demand CurveAmazon Web Services
Protecting dynamically scaled cloud compute resources can be challenging, especially for organizations that lack the time or money it takes to maintain dynamic security. Fortinet’s auto scaling security solution addresses this issue by providing the resources to help with deployment in order to optimize organizations’ AWS networks. Join the upcoming webinar hosted by Fortinet and AWS to learn how to leverage Fortinet for auto scaling complex security policies in your Amazon VPC. Fortinet has a broad set of capabilities that when combined with AWS services creates truly a complete security architecture.
AWS re:Invent 2016: Best practices for running enterprise workloads on AWS (E...Amazon Web Services
Fortune 500 companies are increasingly using cloud services to run enterprise workloads to improve security, increase agility, and enable scale. Learn how OpenEye is running their AWS-native platform and workflow engine to support collaboration and data sharing at large pharmaceutical companies like Pfizer. In this session, OpenEye will share cloud best practiced around security controls, cross-departmental collaboration across the enterprise, and agility at scale. Attendees will gain practical tips for using AWS in the enterprise and healthcare industries.
AWS re:Invent 2016: Amazon Aurora Best Practices: Getting the Best Out of You...Amazon Web Services
Amazon Aurora is a fully managed relational database engine that provides higher performance, availability and durability than previously possible using conventional monolithic database architectures. After launching a year ago, we continued adding many new features and capabilities to Aurora. In this session AWS Aurora experts will discuss the best practices that will help you put these capabilities to the best use. You will also hear from Amazon Aurora customer Intercom on the best practices they adopted for moving live databases with over two billion rows to a new datastore in Amazon Aurora with almost no downtime or lost records.
Intercom was founded to provide a fundamentally new way for Internet businesses to communicate with customers at scale. For growing startups like Intercom, it’s natural for the load on datastores to grow on a weekly basis. The usual solution to this problem is to get a bigger box from AWS. But very soon you reach a point where bigger boat is not an option anymore. You will learn about the benefits of moving to such a datastore, the problems it introduced, and all about the new ability for scaling that was not there before.
Dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
For people who start to create a cloud service, it’s really important to know how to create a scalable cloud service to fit the growth of the future workloads. In this session, we will introduce how to design a scalable cloud service including AWS services introduction and best practices.
It’s been an exciting year for Amazon Aurora, the database with MySQL-compatible and PostgreSQL-compatible database engines. Amazon Aurora combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. In this deep dive session, we’ll discuss best practices and explore new features, including high availability options, new integrations with AWS services, and the performance management with Amazon RDS Performance Insights.
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
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.
Keeping Security In-Step with Your Application Demand CurveAmazon Web Services
Protecting dynamically scaled cloud compute resources can be challenging, especially for organizations that lack the time or money it takes to maintain dynamic security. Fortinet’s auto scaling security solution addresses this issue by providing the resources to help with deployment in order to optimize organizations’ AWS networks. Join the upcoming webinar hosted by Fortinet and AWS to learn how to leverage Fortinet for auto scaling complex security policies in your Amazon VPC. Fortinet has a broad set of capabilities that when combined with AWS services creates truly a complete security architecture.
AWS re:Invent 2016: Best practices for running enterprise workloads on AWS (E...Amazon Web Services
Fortune 500 companies are increasingly using cloud services to run enterprise workloads to improve security, increase agility, and enable scale. Learn how OpenEye is running their AWS-native platform and workflow engine to support collaboration and data sharing at large pharmaceutical companies like Pfizer. In this session, OpenEye will share cloud best practiced around security controls, cross-departmental collaboration across the enterprise, and agility at scale. Attendees will gain practical tips for using AWS in the enterprise and healthcare industries.
AWS re:Invent 2016: Amazon Aurora Best Practices: Getting the Best Out of You...Amazon Web Services
Amazon Aurora is a fully managed relational database engine that provides higher performance, availability and durability than previously possible using conventional monolithic database architectures. After launching a year ago, we continued adding many new features and capabilities to Aurora. In this session AWS Aurora experts will discuss the best practices that will help you put these capabilities to the best use. You will also hear from Amazon Aurora customer Intercom on the best practices they adopted for moving live databases with over two billion rows to a new datastore in Amazon Aurora with almost no downtime or lost records.
Intercom was founded to provide a fundamentally new way for Internet businesses to communicate with customers at scale. For growing startups like Intercom, it’s natural for the load on datastores to grow on a weekly basis. The usual solution to this problem is to get a bigger box from AWS. But very soon you reach a point where bigger boat is not an option anymore. You will learn about the benefits of moving to such a datastore, the problems it introduced, and all about the new ability for scaling that was not there before.
Dive deep into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.
For people who start to create a cloud service, it’s really important to know how to create a scalable cloud service to fit the growth of the future workloads. In this session, we will introduce how to design a scalable cloud service including AWS services introduction and best practices.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services 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 explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; 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 surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
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.
RDS for Oracle and SQL Server - November 2016 Webinar SeriesAmazon Web Services
Amazon RDS provides advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle and Microsoft SQL Server databases. With Amazon RDS, you can deploy multiple editions of Oracle and SQL Server Database in minutes with cost-efficient and re-sizable hardware capacity.
This webinar teaches you to take advantage of features unique to Amazon RDS to improve availability and simplify management. You will also learn how easy it is to migrate your Oracle and SQL Server database to RDS using AWS Database Migration Service.
Learning Objectives:
• Advantages of using RDS for your Oracle and SQL Server Databases
• Features, options and capabilities of Amazon RDS for Oracle and Amazon RDS for SQL Server
• Cost and licensing options
• Getting started with RDS for Oracle, how to launch and configure the database instance
• Migrating your on-premises database to RDS for Oracle using AWS Database Migration Service
• Getting started with RDS for SQL Server, how to launch and configure the database instance
• Migrating your on-premises database to RDS for SQL Server using AWS Database Migration Service
• Advanced topics: Backup, High-availability, Point-in-time restoration, Database cloning
Divide and conquer for agility and scalability: An introduction to MicroservicesAmazon Web Services
"
To tackle complexity and change, AWS customers are increasingly evolving their architectures from monoliths towards microservices, and benefiting from increased agility, simplified scalability, resiliency, and faster deployments. However, microservices also introduce new technical challenges. In this session, we'll provide an introduction and overview of the benefits and challenges of micrososervices, and share best practices for architecting and deploying microservices on AWS."
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.
AWS Webcast - Intro to DevOps: Using Amazon RDS with AWS OpsWorksAmazon Web Services
You can now use RDS with AWS OpsWorks, an application deployment and management service. OpsWorks allows you to incorporate DevOps practices to seamlessly deploy code and operate services. DevOps focuses on collaborating across development and operations facilitating continuous software delivery, shared code bases, and automated deploys, which results in faster delivery of features and more stable operating environments. OpsWorks automates deployments and standardizes production environments, a key aspect of DevOps. What this means for an RDS user is OpsWorks can scale your EC2 application servers according to demand and ensure it has the most current code base deployed. It can automatically configure and connect your new server to your RDS database. OpsWorks will ensure consistent provisioning of your resources with no manual configuring.
AWS re:Invent 2016: Getting Started with Amazon Aurora (DAT203)Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine with the speed, reliability, and availability of high-end commercial databases at one-tenth the cost. This session introduces you to Amazon Aurora, explores the capabilities and features of Aurora, explains common use cases, and helps you get started with Aurora. Debanjan Saha, general manager for Aurora, explains how Aurora differs from other commonly available databases while staying compatible with MySQL and providing a high-end, cost-effective alternative to commercial and open-source database engines. In addition, Linda Xu, data architect at Ticketmaster, walks you through Ticketmaster's journey to Amazon Aurora, starting with evaluation through production migration of a critical Ticketmaster database to Amazon Aurora. Ticketmaster is one of the world's top 10 e-commerce companies and the global market leader in ticketing. In this session, Linda discusses how Aurora lets Ticketmaster provide better services to their fans, customers, and clients, and helps reduce the cost and operational burden while giving greater flexibility to support heavy traffic spikes.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
by Kwesi Edwards, Business Development Manager, AWS
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines. Level 300
Amazon Aurora for the Enterprise - August 2016 Monthly Webinar SeriesAmazon Web Services
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It fulfils the high-performance, high-availability needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business.
Learning Objectives:
• Explore the overall architecture, capabilities, and cost-effectiveness of Aurora and see how it compares to commercial database offerings
• Learn best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Web Services
Amazon Aurora is a fully managed MySQL-compatible database with high-end commercial database features and performance at one-tenth the cost. Since launching Aurora a year ago we have added many new capabilities and features. Some of these features include encryption, database snapshot sharing, enhanced monitoring, cross-region replication, S3 binary snapshot ingestion and customized failover priority. In this session we'll demonstrate how these features work and discuss how you can make the best use of them.
Learning Objectives:
• Learn about the newly added features of Aurora
• Learn how to use those features
• Learn when and why to use those features
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Operations: Cost Optimization - Don't Overspend on Infrastructure Amazon Web Services
The less you spend on infrastructure, the more you can invest in other areas of your business. We'll look at how Trusted Advisor, Spot Instances, CloudFront, Reserved Instances, Aurora, Lambda, and API Gateway can help you lower your bill. Gain a deeper understanding of how to set individual team budgets and alerts on forecasted spend. Learn how to quickly identify under-utilized resources and what steps to take to remedy those money wasters. You'll build the essential cost savings toolkit that is applicable across all industries and win the admiration of your finance team.
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Amazon Web Services
From dev and test to large-scale HANA production deployments, enterprise usage of SAP on AWS is rapidly growing across all verticals and geographies. Gain insights on the AWS SAP offering and partnership and why a cloud first approach makes business, technical and financial sense for the numerous SAP solutions that are certified and ready to be deployed today.
AW Speaker: Michael Needham, Sr Mgr, Solutions Architecture - Amazon Web Services
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon Relational Database Service has continued to expand functionality, scalability, availability and ease of use for all supported database engines (PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server). We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
AWS re:Invent 2016: Netflix: Using Amazon S3 as the fabric of our big data ec...Amazon Web Services
Amazon S3 is the central data hub for Netflix's big data ecosystem. We currently have over 1.5 billion objects and 60+ PB of data stored in S3. As we ingest, transform, transport, and visualize data, we find this data naturally weaving in and out of S3. Amazon S3 provides us the flexibility to use an interoperable set of big data processing tools like Spark, Presto, Hive, and Pig. It serves as the hub for transporting data to additional data stores / engines like Teradata, Redshift, and Druid, as well as exporting data to reporting tools like Microstrategy and Tableau. Over time, we have built an ecosystem of services and tools to manage our data on S3. We have a federated metadata catalog service that keeps track of all our data. We have a set of data lifecycle management tools that expire data based on business rules and compliance. We also have a portal that allows users to see the cost and size of their data footprint. In this talk, we’ll dive into these major uses of S3, as well as many smaller cases, where S3 smoothly addresses an important data infrastructure need. We will also provide solutions and methodologies on how you can build your own S3 big data hub.
AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Ad...Amazon Web Services
As Turner continues to make the transition from a traditional broadcast organization to a consumer-centric, data-driven media company, we are being challenged to re-think our approach to content supply. There is a need to achieve new levels of agility, flexibility and scalability to meet the rapidly evolving demands of our top media brands - including TBS, TNT, Cartoon Network, Adult Swim and CNN. To that end, we are transitioning the infrastructure that acquires, processes and distributes media for consumer-facing systems to the cloud. At the core of this environment is our Supply Chain Management application. The SCM app provides business and technical process management via an HTML based UI framework, State Machine, Rules Engine, Cost Model, Forms Service. We took advantage of several AWS specific services, including Lambda, S3, Dynamo DB, SNS, Elastic, Cloud Formation and Code Commit. The entire system is instance-less with all application code running in either the browser or within Lambda's. To ease development and debugging we created a method to run all JS libraries in the browser, switching to Lambda when we deploy with Code Commit. Cloud media processing infrastructure is BEING created on demand via an integration with SDVI. The SDVI and SCM apps exchange events and data via SNS and S3.
Join ClearScale and AWS to learn how the San Jose Water Company worked with ClearScale to leverage Docker and the latest AWS DevOps tools including Amazon ECS, Amazon EC2 Container Registry (ECR) and AWS CodePipeline, to deliver new app features faster, with lower overhead. Gaining a competitive edge in the modern business landscape often depends on delivering apps with small, quick changes that create faster time-to-market, with focused value for the end customer. Successful companies adopt a DevOps model that automates continuous app delivery and may use a software containerization platform, both to accelerate releases and reduce risk. ClearScale is an AWS DevOps Premier Consulting Partner that helps decrease your time to market, governance and compliance risks, and lower your operational costs.
Join us to learn:
• The advantages of DevOps on AWS, using the latest AWS tools and Docker
• Best practices to design and deploy containers on AWS, based on experiences of the San Jose Water Company
• Learn from ClearScale experts about proven automation techniques for DevOps on AWS
Who should attend: CTOs, CIOs, CISOs, VPs of Engineering, VPs of Development, Business Development Directors, Senior Development Managers, Senior Architects, Business Development Managers
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services 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 explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; 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 surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
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.
RDS for Oracle and SQL Server - November 2016 Webinar SeriesAmazon Web Services
Amazon RDS provides advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle and Microsoft SQL Server databases. With Amazon RDS, you can deploy multiple editions of Oracle and SQL Server Database in minutes with cost-efficient and re-sizable hardware capacity.
This webinar teaches you to take advantage of features unique to Amazon RDS to improve availability and simplify management. You will also learn how easy it is to migrate your Oracle and SQL Server database to RDS using AWS Database Migration Service.
Learning Objectives:
• Advantages of using RDS for your Oracle and SQL Server Databases
• Features, options and capabilities of Amazon RDS for Oracle and Amazon RDS for SQL Server
• Cost and licensing options
• Getting started with RDS for Oracle, how to launch and configure the database instance
• Migrating your on-premises database to RDS for Oracle using AWS Database Migration Service
• Getting started with RDS for SQL Server, how to launch and configure the database instance
• Migrating your on-premises database to RDS for SQL Server using AWS Database Migration Service
• Advanced topics: Backup, High-availability, Point-in-time restoration, Database cloning
Divide and conquer for agility and scalability: An introduction to MicroservicesAmazon Web Services
"
To tackle complexity and change, AWS customers are increasingly evolving their architectures from monoliths towards microservices, and benefiting from increased agility, simplified scalability, resiliency, and faster deployments. However, microservices also introduce new technical challenges. In this session, we'll provide an introduction and overview of the benefits and challenges of micrososervices, and share best practices for architecting and deploying microservices on AWS."
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.
AWS Webcast - Intro to DevOps: Using Amazon RDS with AWS OpsWorksAmazon Web Services
You can now use RDS with AWS OpsWorks, an application deployment and management service. OpsWorks allows you to incorporate DevOps practices to seamlessly deploy code and operate services. DevOps focuses on collaborating across development and operations facilitating continuous software delivery, shared code bases, and automated deploys, which results in faster delivery of features and more stable operating environments. OpsWorks automates deployments and standardizes production environments, a key aspect of DevOps. What this means for an RDS user is OpsWorks can scale your EC2 application servers according to demand and ensure it has the most current code base deployed. It can automatically configure and connect your new server to your RDS database. OpsWorks will ensure consistent provisioning of your resources with no manual configuring.
AWS re:Invent 2016: Getting Started with Amazon Aurora (DAT203)Amazon Web Services
Amazon Aurora is a MySQL-compatible relational database engine with the speed, reliability, and availability of high-end commercial databases at one-tenth the cost. This session introduces you to Amazon Aurora, explores the capabilities and features of Aurora, explains common use cases, and helps you get started with Aurora. Debanjan Saha, general manager for Aurora, explains how Aurora differs from other commonly available databases while staying compatible with MySQL and providing a high-end, cost-effective alternative to commercial and open-source database engines. In addition, Linda Xu, data architect at Ticketmaster, walks you through Ticketmaster's journey to Amazon Aurora, starting with evaluation through production migration of a critical Ticketmaster database to Amazon Aurora. Ticketmaster is one of the world's top 10 e-commerce companies and the global market leader in ticketing. In this session, Linda discusses how Aurora lets Ticketmaster provide better services to their fans, customers, and clients, and helps reduce the cost and operational burden while giving greater flexibility to support heavy traffic spikes.
What’s New in Amazon RDS for Open-Source and Commercial Databases: Amazon Web Services
by Kwesi Edwards, Business Development Manager, AWS
In the past year, Amazon RDS has continued to expand functionality, scalability, availability and ease of use for all supported database engines: PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server. We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines. Level 300
Amazon Aurora for the Enterprise - August 2016 Monthly Webinar SeriesAmazon Web Services
Relational databases are a cornerstone of the enterprise IT landscape, powering business-critical applications of many kinds. Though they have been around for a while, current commercial relational databases have lagged behind in innovation. Amazon Aurora, a managed database service built for the cloud, is intended to change that. It fulfils the high-performance, high-availability needs of business-critical applications with an emphasis on cost-effectiveness. In this session, we will look into how Aurora fits the needs of applications built and bought by enterprises to power their business.
Learning Objectives:
• Explore the overall architecture, capabilities, and cost-effectiveness of Aurora and see how it compares to commercial database offerings
• Learn best practices for enterprises adopting Aurora for existing and new workloads, as well as strategies, tools, and techniques for migrating existing databases to Aurora
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Web Services
Amazon Aurora is a fully managed MySQL-compatible database with high-end commercial database features and performance at one-tenth the cost. Since launching Aurora a year ago we have added many new capabilities and features. Some of these features include encryption, database snapshot sharing, enhanced monitoring, cross-region replication, S3 binary snapshot ingestion and customized failover priority. In this session we'll demonstrate how these features work and discuss how you can make the best use of them.
Learning Objectives:
• Learn about the newly added features of Aurora
• Learn how to use those features
• Learn when and why to use those features
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Operations: Cost Optimization - Don't Overspend on Infrastructure Amazon Web Services
The less you spend on infrastructure, the more you can invest in other areas of your business. We'll look at how Trusted Advisor, Spot Instances, CloudFront, Reserved Instances, Aurora, Lambda, and API Gateway can help you lower your bill. Gain a deeper understanding of how to set individual team budgets and alerts on forecasted spend. Learn how to quickly identify under-utilized resources and what steps to take to remedy those money wasters. You'll build the essential cost savings toolkit that is applicable across all industries and win the admiration of your finance team.
Accelerate your Business with SAP on AWS - AWS Summit Cape Town 2017 Amazon Web Services
From dev and test to large-scale HANA production deployments, enterprise usage of SAP on AWS is rapidly growing across all verticals and geographies. Gain insights on the AWS SAP offering and partnership and why a cloud first approach makes business, technical and financial sense for the numerous SAP solutions that are certified and ready to be deployed today.
AW Speaker: Michael Needham, Sr Mgr, Solutions Architecture - Amazon Web Services
What’s New in Amazon RDS for Open-Source and Commercial DatabasesAmazon Web Services
In the past year, Amazon Relational Database Service has continued to expand functionality, scalability, availability and ease of use for all supported database engines (PostgreSQL, MySQL, MariaDB, Oracle and Microsoft SQL Server). We’ll take a close look at RDS use cases and new capabilities, splitting the time between open-source and commercial database engines.
Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.
AWS re:Invent 2016: Netflix: Using Amazon S3 as the fabric of our big data ec...Amazon Web Services
Amazon S3 is the central data hub for Netflix's big data ecosystem. We currently have over 1.5 billion objects and 60+ PB of data stored in S3. As we ingest, transform, transport, and visualize data, we find this data naturally weaving in and out of S3. Amazon S3 provides us the flexibility to use an interoperable set of big data processing tools like Spark, Presto, Hive, and Pig. It serves as the hub for transporting data to additional data stores / engines like Teradata, Redshift, and Druid, as well as exporting data to reporting tools like Microstrategy and Tableau. Over time, we have built an ecosystem of services and tools to manage our data on S3. We have a federated metadata catalog service that keeps track of all our data. We have a set of data lifecycle management tools that expire data based on business rules and compliance. We also have a portal that allows users to see the cost and size of their data footprint. In this talk, we’ll dive into these major uses of S3, as well as many smaller cases, where S3 smoothly addresses an important data infrastructure need. We will also provide solutions and methodologies on how you can build your own S3 big data hub.
AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Ad...Amazon Web Services
As Turner continues to make the transition from a traditional broadcast organization to a consumer-centric, data-driven media company, we are being challenged to re-think our approach to content supply. There is a need to achieve new levels of agility, flexibility and scalability to meet the rapidly evolving demands of our top media brands - including TBS, TNT, Cartoon Network, Adult Swim and CNN. To that end, we are transitioning the infrastructure that acquires, processes and distributes media for consumer-facing systems to the cloud. At the core of this environment is our Supply Chain Management application. The SCM app provides business and technical process management via an HTML based UI framework, State Machine, Rules Engine, Cost Model, Forms Service. We took advantage of several AWS specific services, including Lambda, S3, Dynamo DB, SNS, Elastic, Cloud Formation and Code Commit. The entire system is instance-less with all application code running in either the browser or within Lambda's. To ease development and debugging we created a method to run all JS libraries in the browser, switching to Lambda when we deploy with Code Commit. Cloud media processing infrastructure is BEING created on demand via an integration with SDVI. The SDVI and SCM apps exchange events and data via SNS and S3.
Join ClearScale and AWS to learn how the San Jose Water Company worked with ClearScale to leverage Docker and the latest AWS DevOps tools including Amazon ECS, Amazon EC2 Container Registry (ECR) and AWS CodePipeline, to deliver new app features faster, with lower overhead. Gaining a competitive edge in the modern business landscape often depends on delivering apps with small, quick changes that create faster time-to-market, with focused value for the end customer. Successful companies adopt a DevOps model that automates continuous app delivery and may use a software containerization platform, both to accelerate releases and reduce risk. ClearScale is an AWS DevOps Premier Consulting Partner that helps decrease your time to market, governance and compliance risks, and lower your operational costs.
Join us to learn:
• The advantages of DevOps on AWS, using the latest AWS tools and Docker
• Best practices to design and deploy containers on AWS, based on experiences of the San Jose Water Company
• Learn from ClearScale experts about proven automation techniques for DevOps on AWS
Who should attend: CTOs, CIOs, CISOs, VPs of Engineering, VPs of Development, Business Development Directors, Senior Development Managers, Senior Architects, Business Development Managers
Adopting DevOps that scales with your needs can be challenging, especially for larger enterprises. Since the perfect DevOps strategy varies for each organization, VirtusaPolaris has devised an approach for enterprise-wide DevOps adoption across three stages – Build, Deploy, and Manage. When NewsCorp realized they needed to modernize their IT infrastructure to stay ahead of a changing media landscape, they tapped VirtusaPolaris for assistance with Cloud Transformation including an Application Portfolio Assessment, migrating applications to the cloud, and DevOps adoption. While migrating applications, VirtusaPolaris helped NewsCorp define, design, and implement a DevOps model on AWS, then run and manage that environment efficiently, using a number of AWS services such as Amazon VPC, Amazon EC2, AWS Elastic Load Balancing (ELB), and more.
How a National Transportation Software Provider Migrated a Mission-Critical T...Amazon Web Services
In this webinar, Cascadeo will show you how they helped a national transportation software provider build an AWS architecture that enables them to effectively support more than 3,300 complex integration tests against nightly builds of their Interoperable Train Control Messaging (ITCM) application. You’ll also learn about how this software provider can scale on-demand, has improved governance and cost management, and rapidly supports new projects without increasing IT overhead using AWS.
Simplify and Scale Enterprise Spring Apps in the Cloud | March 23, 2023VMware Tanzu
Event Slides: Simplify and Scale Enterprise Spring Apps in the Cloud
Date: March 23, 2023
Speakers:
Adib Saikali, Principal Solutions Engineer, VMware Tanzu
Asir Selvasingh, Principal Architect, Java on Azure, Microsoft
At Amazon Web Services, we think about Infrastructure as Code being able to impact not just your low level infrastructure or operating systems but everything from the virtual cement floor of your Amazon Virtual Private Cloud up through the applications your customers interface with.
Come take a tour of the space as we see it. Learn what layers there are to managing your infrastructure as code and what services and tools AWS and its Partners exist across these.
DevOps at Scale: How Datadog is using AWS and PagerDuty to Keep Pace with Gr...Amazon Web Services
Meeting the demands of everchanging IT management and security requirements means evolving both how you respond to and resolve incidents. It’s critical for organizations to adopt a scalable DevOps solution that integrates with their current monitoring systems to enable collaboration across development and operations teams, reducing the mean time to resolution. PagerDuty works with AWS services like Amazon CloudWatch, to provide rapid incident response with rich, contextual details that allow you to analyze trends and monitor the performance of your applications and AWS environment.
(ENT210) Accelerating Business Innovation with DevOps on AWS | AWS re:Invent ...Amazon Web Services
IT must innovate at the speed of market change and many enterprises are realizing that DevOps and cloud computing are a means to this end. Cloud-based DevOps solutions that enforce fine-grain governance policies and automate software releases across the development tool chain can accelerate application time to market while also improving software quality. In this session, attendees learn the following:
- How cloud and DevOps together can significantly accelerate software release cycles, so you can speed business innovation and gain competitive advantage
- Best practices for leveraging CSC Agility Platform, AWS, and a hybrid IT strategy for DevOps
- How to eliminate software release bottlenecks via policy-based automation, orchestration, and governance of application deployment environments.
Sponsored by CSC.
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Learn how REAN Cloud helped AWS customer Ellucian develop a DevOps framework to transform their software delivery process for over 80 product lines. Attendees will gain an understanding of a real-world continuous integration/continuous delivery framework that leverages Packer, Jenkins, Vagrant, and Terraform, along with other best practices. REAN Cloud can implement a continuous integration and delivery pipeline on AWS and instill a DevOps culture for your dev teams. REAN provides a combination of DevOps and AWS expertise while also delivering managed services through CloudOps & SecOps. Join us to learn about: • Select new AWS features. • Benefits of automation. • Automating configuration, auto-scaling and deployments. Who should attend: CTOs, CIOs, Information Architects, Cloud Owner, Enterprise Architects, DevOps Managers, Senior Technical Managers in Engineering and Operations
DevOps on Windows: How to Deploy Complex Windows Workloads | AWS Public Secto...Amazon Web Services
In this session, you will learn how to deploy complex Windows workloads and ways AWS CloudFormation, AWS OpsWorks, and AWS CodeDeploy enable you to automate your Windows application life-cycle management. We will also discuss the monitoring, logging, and automatically scaling of Windows applications. Learn More: https://aws.amazon.com/government-education/
Azure Devops provides a set of cloud DevOps services that allow enterprises to deliver business outcomes, from an idea to production-level code. Azure Devops works for any language, any cloud, and any platform.
Enterprise DevOps is different then DevOps in startups and smaller companies. This session how AWS/CSC address this. How AWS IaaS level automation via CloudFormation, UserData, Console, APIS and some PaaS OpsWorks/Beanstalk is complimented by CSC Agility Platform. CSC Agility adds application compliance and security to the AWS infrastructure compliance and security. CSC Agility allows for the creation of architecture blueprints for predefined application offerings.
Similar to Fast, Secure Deployments with Docker on AWS (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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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/
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.
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.
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.
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
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Key Trends Shaping the Future of Infrastructure.pdf
Fast, Secure Deployments with Docker on AWS
1. Fast, Secure Deployments
with Docker on AWS
Ronald Widha Sunarno, Solutions Architect, AWS
Chuck Price, VP of Professional Services, Logicworks
Jerry Hagedorn, VP of Information Technology, Spring Venture Group
2. DevOps on the AWS Cloud
Ronald Widha Sunarno, Solutions Architect, AWS
3. Traditional IT Delivery Models are Obsolete
Business is increasingly software-driven
End-users expect both continuous improvement and
stability from applications
IT needs to be able to provision infrastructure as rapidly as
developers demand it
An organization’s pace of innovation is largely constrained
by their ability to develop applications
4. DevOps Can Help
Increase Decrease
Length of delivery cycles
Time to value
Deployment failures and rollbacks
Time to recover upon failure
Operational overhead
DevOps practices enable companies to innovate at a higher velocity
for customers
Business agility
Application stability
Ability to meet customer demand
Time spent on innovation
Security
5. Infrastructure
as Code
Microservices Logging and
Monitoring
Continuous
Integration/
Continuous
Delivery
DevOps on AWS
AWS provides on-demand infrastructure resources and tooling built to
enable common DevOps practices
6. Provision the server, storage, and networking capacity you
need on demand
Deploy independently, as a single service, or a group
of services
Make configuration changes repeatable and standardized
Build custom templates to provision resources in a
controlled and predictable way
Use version control to keep track of all changes made to
your infrastructure and application stack
Infrastructure as Code
Replace traditional infrastructure provisioning and management with code-
based techniques
7. Build services around the business capabilities you require
Scale up and down as required with virtually no notice
Make configuration code changes repeatable and
standardized
API-driven model enables management of infrastructure
with language typically used in application code
Free developers from manually configuring operating
systems, system applications, and server software
Microservices
Build applications as a set of small services that communicates with other
services through APIs
8. Maintain visibility and auditability of activity in your
application infrastructure
Assess how application and infrastructure performance
impact end-user experience
Gain insight into the root causes of problems or
unexpected changes
Support services that must be available 24/7 as a result
of continuous integration/ continuous delivery
Create alerts based on thresholds you define
Logging and Monitoring
Capture, categorize, and analyze data and logs generated by applications
and infrastructure
9. Model and visualize your own custom release workflow
Automate deployments of new code
Improve developer productivity and deliver updates faster
Find and address bugs quicker with more frequent and
comprehensive testing
Store anything from source code to binaries using existing
Git tools
Continuous Integration and Continuous Delivery
Rapidly and reliably build, test, and deploy your applications, while
improving quality and reducing time to market.
11. About Logicworks
AWS Premier Partner with the DevOps Competency
Leader in the 2017 Gartner Magic Quadrant for Public Cloud MSPs
Specializes in high-risk, compliant workloads for healthcare
and financial services
Cloud Strategy 24/7 Management Cloud Automation Cloud Security
12. Agenda
1. DevOps From the Ops Side
2. Why People Love Docker
3. Understanding Security + Automation on AWS
Next Up:
Jerry Hagedorn, Spring Venture Group
Real-Life Docker Deployment & DevOps from the Dev Side
13. Quick Poll (1 of 2)
Who is currently living the dream of Cloud-based DevOps?
A. Me & My Company
B. Just Me
C. Just My Company
D. Neither Me nor My Company
14. What’s Next? DevOps
“It is not the strongest of the
species that survive, nor the
most intelligent, but the one
most responsive to change.”
– Charles Darwin
15. DevOps Ops Struggles
Pockets of developers
using their favorite (not
well-integrated) tools
Infrastructure is always “on
fire”, time-consuming,
custom built for each project
Ops is an afterthought
in Agile transformation
projects
16. Great Ops in a DevOps World
Make it easy for developers to launch “approved” infrastructure
Create a clear line between responsibilities of Ops and Dev
Design for constant change
Treat infrastructure as code and issues as regressions
Reduce human effort to reduce security risks
Use fully-managed cloud resources whenever possible
18. Case Study: Spring Venture Group
AWS Platform
Infrastructure Automation
(AWS CloudFormation, Amazon ECS, Puppet, etc.)
Self-Service Portal
(AWS Service Catalog)
Deployment Automation — CI/CD Pipeline
Application
19. AWS Platform
Infrastructure Automation
(AWS CloudFormation, Amazon ECS, Puppet, etc.)
Self-Service Portal
(AWS Service Catalog)
Deployment Automation — CI/CD Pipeline
Application
Case Study: Spring Venture Group
20. Most robust, mature,
largest IaaS platform in
the world
Better security than you
could afford in your own
data center
Dozens of services to
support any application, not
just “cloud-ready” ones
Many DevOps-friendly
services, ready to
support containers
AWS Platform
21. Cloud-First vs Traditional App Dev KPIs
Without AWS With AWS Difference Benefit
Average time to deploy
new application (weeks)
13.4 8.5 4.9 36.7%
# of business apps
deployed per year
22.2 48.5 26.3 118.4%
Equivalent size of app
dev team
146.8 114.1 32.7 22.3%
Unplanned downtime
incidents per year
10.6 2.1 8.5 79.8%
Source: IDC, 2015
22. Case Study: Spring Venture Group
AWS Platform
Infrastructure Automation
(AWS CloudFormation, Amazon ECS, Puppet, etc.)
Self-Service Portal
(AWS Service Catalog)
Deployment Automation — CI/CD Pipeline
Application
23. Who is currently leveraging “Infrastructure as Code”?
A. All Day Every Day!
B. Minimally Deployed / POC’ing Now
C. Learning more now and hope to start this year…
D. Not sure what that even means…seems contradictory?!
Quick Poll (2 of 2)
24. Why Infrastructure Automation?
Every environment is a snowflake
High chance of forgetting
something important (i.e., security)
Slow
Can’t rollback
Change code, not servers
Quickly replicate environments
Easily update environments
Every instance gets configured
in same way
Manual Automated
25. Infrastructure Automation Pipeline
“Raw” AWS
Services
Amazon EC2, Amazon
S3, Amazon RDS,
AWS ELB, etc.
Create
Architectures
Design cloud architecture
for your applications.
Templatize your
architecture so that you
can easily replicate/update.
Create Templates Configure OS
Create a consistent way
to get instances ready to
receive code.
26. Builds network foundation
Configures gateways and access points
Installs management services, like Puppet
Allocates Amazon S3 buckets
Attaches encrypted volumes
Controls and manages access though AWS IAM
Registers DNS names with Amazon Route 53
Configures log shipping and retention
AWS CloudFormation
What AWS CloudFormation does for Spring Venture Group:
27. What CM Does:
Configures hostnames
Binds instances to central auth
Requires MFA on bastion
Installs NTP, MTA, other essentials
Installs log shipping and monitoring software
Provisions machine for deploy
Configuration Management
The goal of configuration management (CM) is to create and maintain
OS configurations.
28. Case Study: Spring Venture Group
AWS Platform
Infrastructure Automation
(AWS CloudFormation, Amazon ECS, Puppet, etc.)
Self-Service Portal
(AWS Service Catalog)
Deployment Automation — CI/CD Pipeline
Application
29. Developers get to choose from available templates
Instantly build out “approved” environments
Systems team maintains templates
Developers are responsible for making code “work”
Interface between Dev and Ops
Service Catalog
30. What is the Impact on Security?
You have less direct human interaction in your environment,
but you still need 24/7 human monitors.
Controlled
Build Process
No ad hoc environments
that lead to an unknown
risk profile
Controlled
Update Process
All changes are documented
Reduced Human
Effort
…But 24x7 human
monitors are still important!
31. Key Takeaways
Building a fully-
automated cloud
environment is complex,
but crucial
Invest in infrastructure
automation as the
foundation for DevOps
We would love to help!
Contact Logicworks or
visit our website to
learn more.
32. Next Up… Spring Venture Group
AWS Platform
Infrastructure Automation
(AWS CloudFormation, Amazon ECS, Puppet, etc.)
Self-Service Portal
(AWS Service Catalog)
Deployment Automation — CI/CD Pipeline
Application
35. About Spring Venture Group
Inside sales and
marketing company with
a concentration on
direct-to-consumer
insurance products
Mission to operate a
world-class distribution
platform
2016 Best Insurance
Companies to Work For
150% Revenue growth in
2016; IT staff has more
than tripled since
January 2016
39. Build once, run anywhere
No worries about missing dependencies and packages
Isolates software
Isolates code failures
Easier to automate testing, integration, packaging
Docker Containers
40. “The real value of Docker is not
technology. It’s getting people
to agree on something.”
-Solomon Hykes
41. Docker Basics
Docker Hub: A “GitHub” for Docker container images
Dockerfile: Text file that contains commands to build a Docker image
Container: The thing that’s created from a Docker image
Docker daemon: Background service running on the host that manages
building, running, and distributing containers
APP 1 APP 2 APP 3
BINS/LIBS BINS/LIBS BINS/LIBS
DOCKER ENGINE
HOST OPERATING SYSTEM
INFRASTRUCTURE
43. AWS Service Catalog from Developers’POV
Consistent, standard Amazon ECS-ready environment
Baked-in security controls for HIPAA compliance
No delay or friction between Ops (Logicworks) and our developers
44. Automate, automate, automate
Invest early in a service discovery solution
(Eureka, Consul, etc.)
Embrace external configuration
Use the HEALTHCHECK instruction in your
Docker file, and implement meaningful health
check in your application that it interacts with
Application Load Balancers
Key Tips for Adopting Docker
46. Amazon EC2 Container Service
Highly scalable, high
performance container
management service
Lightweight, eliminates need
to install and operate cluster
management infrastructure
No charge for ECS
(you pay only for AWS
resources you create)
47. Docker Orchestration: Amazon ECS vs. Other Tools
We prefer AWS native solutions whenever possible
– Stability
– Maintenance covered
AWS ECS met our environment management needs
ECS/Docker provided significant improvement in stability with disposing
of containers based on health checks
Logicworks manages our infrastructure including ECS and we leverage it
to deploy containers, no overhead of running 3rd party solution
48. Built AWS environment
from the ground up
Ongoing expertise and
support as our needs change
24x7x365 support Helped us understand
HIPAA requirements
Deploy AWS with click
of button
Working with Logicworks
49. Results of the Project
Started in February 2016
Migration Included
– Building out testing region
– Automated builds and deployments for each system/service
Migration completed in July 2016
– With minimum business operational impact
– While supporting several key business deployments
– Nearly doubling the number of users
50. Key Takeaways for Your Team
Automation
Drive efficiency
of developers
Health Checks
Dramatically increases
overall system stability
Partnerships are
key to success
Allowed us to migrate
quickly and continue to
be nimble
51. We’re Hiring!
Looking for a great DevOps Engineer to manage our deployment
automation and application monitoring
http://www.springventuregroup.com/careers/
52. Q & A Session
Ronald Widha Sunarno, Solutions Architect, AWS
widha@amazon.com
Jerry Hagedorn, VP of Information Technology, Spring Venture Group
jerry@springventuregroup.com
Chuck Price, VP of Professional Services, Logicworks
cprice@logicworks.com
Phil Christensen, Sr Solutions Architect, Logicworks
pchristensen@logicworks.com
53. Resources
Logicworks’ DevOps on AWS Resource Center
– http://go.logicworks.net/aws-devops-webinar
CD Reference Architecture using AWS ECS/Docker:
– https://github.com/awslabs/ecs-refarch-continuous-deployment
AWS Whitepaper: Practicing CI/CD on AWS:
– https://d0.awsstatic.com/whitepapers/DevOps/practicing-continuous-integration-continuous-
delivery-on-AWS.pdf
AWS Whitepaper: Configuring and Running Jenkins on AWS:
– https://d0.awsstatic.com/whitepapers/DevOps/Jenkins_on_AWS.pdf