- Utilize AWS RDS Data API for secure database access and operations
- CloudTrail for auditing and activity monitoring
- Investigating incidents and preventing unauthorized access
- PostgreSQL Auditing (pgAudit) extension
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
The document discusses architecting applications on AWS. It covers cloud computing concepts, AWS services, security best practices, microservices, and serverless computing. It provides an overview of AWS regions and availability zones. It also discusses advantages of AWS like scalability, cost optimization, and increased speed and agility. The document outlines considerations for architecting on AWS like operational excellence, security, reliability, performance and cost optimization. It also provides examples of companies successfully using AWS.
(BDT206) See How Amazon Redshift is Powering Business Intelligence in the Ent...Amazon Web Services
"Take a look into how NordstromRack.com | HauteLook and Nasdaq OMX are using Amazon Redshift for data warehouse and supporting business intelligence workloads one year after they made the move to using Amazon Redshift. We will cover why HauteLook chose Redshift, how they built the architecture, discuss what data is being stored and accessed, and overall, how that data is powering the HauteLook business. We will also discuss how Nasdaq migrated from an on-premised data warehouse to Amazon Redshift, and how they've been able to take advantage of Redshift's array of security features such as hardware security modules (HSM), encryption, and audit-logging.
Ever wished you had a list of cheat codes to unleash the full power of AWS Lambda for your production workload? Come learn how to build a robust, scalable, and highly available serverless application using AWS Lambda. In this session, we discuss hacks and tricks for maximizing your AWS Lambda performance, such as leveraging customer reuse, using the 500 MB scratch space and local cache, creating custom metrics for managing operations, aligning upstream and downstream services to scale along with Lambda, and many other workarounds and optimizations across your entire function lifecycle.
You also learn how Hearst converted its real-time clickstream analytics data pipeline from a server-based model to a serverless one. The infrastructure of the data pipeline relied on Amazon EC2 instances and cron jobs to shepherd data through the process. In 2016, Hearst converted its data pipeline architecture to a serverless process that relies on event triggers and the power of AWS Lambda. By moving from a time-based process to a trigger-based process, Hearst improved its pipeline latency times by 50%.
Learn how Amazon Redshift handles massive datasets and complex queries, and when it's best suited for tasks like Mortgage Portfolio Analysis or Real-Time Fraud Detection. Explore AWS QuickSight's integration with AWS data sources and its strengths in Business Intelligence and Data Exploration. Get actionable insights to make informed decisions for your projects and use cases.
Watch here: youtu.be/T1cMaV8_5fQ?feature=shared
Secure your AWS Account and your Organization's Accounts Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
Secure Your AWS Account and Your Organization's Accounts - SID202 - Chicago A...Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
For more training on AWS, visit: https://www.qa.com/amazon
AWS Loft | London - Deep Dive: Amazon RDS by Toby Knight, Manager Solutions Architecture, 18 April 2016
Serverless Architectural Patterns & Best PracticesDaniel Zivkovic
This ServerlessTO meetup covered various Serverless design patterns and best practices for building apps using the full #AWS #Serverless stack - not just Lambda. Event recording (including 25min long Q&A!) is at https://youtu.be/gsILTMXPUeU
The document discusses architecting applications on AWS. It covers cloud computing concepts, AWS services, security best practices, microservices, and serverless computing. It provides an overview of AWS regions and availability zones. It also discusses advantages of AWS like scalability, cost optimization, and increased speed and agility. The document outlines considerations for architecting on AWS like operational excellence, security, reliability, performance and cost optimization. It also provides examples of companies successfully using AWS.
(BDT206) See How Amazon Redshift is Powering Business Intelligence in the Ent...Amazon Web Services
"Take a look into how NordstromRack.com | HauteLook and Nasdaq OMX are using Amazon Redshift for data warehouse and supporting business intelligence workloads one year after they made the move to using Amazon Redshift. We will cover why HauteLook chose Redshift, how they built the architecture, discuss what data is being stored and accessed, and overall, how that data is powering the HauteLook business. We will also discuss how Nasdaq migrated from an on-premised data warehouse to Amazon Redshift, and how they've been able to take advantage of Redshift's array of security features such as hardware security modules (HSM), encryption, and audit-logging.
Ever wished you had a list of cheat codes to unleash the full power of AWS Lambda for your production workload? Come learn how to build a robust, scalable, and highly available serverless application using AWS Lambda. In this session, we discuss hacks and tricks for maximizing your AWS Lambda performance, such as leveraging customer reuse, using the 500 MB scratch space and local cache, creating custom metrics for managing operations, aligning upstream and downstream services to scale along with Lambda, and many other workarounds and optimizations across your entire function lifecycle.
You also learn how Hearst converted its real-time clickstream analytics data pipeline from a server-based model to a serverless one. The infrastructure of the data pipeline relied on Amazon EC2 instances and cron jobs to shepherd data through the process. In 2016, Hearst converted its data pipeline architecture to a serverless process that relies on event triggers and the power of AWS Lambda. By moving from a time-based process to a trigger-based process, Hearst improved its pipeline latency times by 50%.
Learn how Amazon Redshift handles massive datasets and complex queries, and when it's best suited for tasks like Mortgage Portfolio Analysis or Real-Time Fraud Detection. Explore AWS QuickSight's integration with AWS data sources and its strengths in Business Intelligence and Data Exploration. Get actionable insights to make informed decisions for your projects and use cases.
Watch here: youtu.be/T1cMaV8_5fQ?feature=shared
Secure your AWS Account and your Organization's Accounts Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
Secure Your AWS Account and Your Organization's Accounts - SID202 - Chicago A...Amazon Web Services
The cloud enables users to run workloads more securely than they could in a traditional data center. However, customers are still not sure how to harden their AWS accounts and resources in order to enforce compliance. Consistency around governance can also be a concern when large customers have multiple accounts. In this session, we show you how to use automation, tools, and techniques to harden and audit your AWS account as well as how to leverage AWS Organizations to ensure compliance in your enterprise.
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
This document discusses using AWS services for big data and analytics workflows. It describes collecting and storing data from various sources using services like S3, DynamoDB and Kinesis. It then discusses processing and analyzing that data using EMR, Redshift and other AWS analytics services. The results and insights can then be visualized, shared and fed back into the workflow on a continuous basis to drive real-time decisions.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
Amazon Relational Database Service (Amazon RDS) provides a fully managed relational database service. The presentation discusses key features of RDS including security, customer stories, migration, monitoring, scaling, backups and high availability. It compares Amazon Aurora to MySQL databases and discusses trade-offs of using a managed database service versus self-managed databases.
Azure Data Factory for Redmond SQL PASS UG Sept 2018Mark Kromer
Azure Data Factory is a fully managed data integration service in the cloud. It provides a graphical user interface for building data pipelines without coding. Pipelines can orchestrate data movement and transformations across hybrid and multi-cloud environments. Azure Data Factory supports incremental loading, on-demand Spark, and lifting SQL Server Integration Services packages to the cloud.
Slides: Proven Strategies for Hybrid Cloud Computing with Mainframes — From A...DATAVERSITY
Mainframes continue to perform mission-critical transaction processing and contain massive amounts of core business data. But digital transformation initiatives and cloud computing have created both opportunities and challenges for unlocking and utilizing this data. Qlik and AWS will share some of the proven strategies from successful customer deployments across a range of different mainframe to cloud use cases, including legacy application modernization, data analytics, and data migrations.
In this presentation, you will learn how to:
• Replicate very large volumes of mainframe data in real-time to the cloud
• Automate the creation of analytics-ready data lakes and data warehouses
• Achieve a 30% reduction in cost of compute
Preparing data for analysis and insights is the foundation of any data-driven exercise. Moving workloads to a PaaS, be it data engineering, analytic database, or data science requires a two step leap of faith - in trusting the public cloud, and then your PaaS vendor. In this webinar we will discuss the architecture of a PaaS solution for data management and understand the nitty gritty details of what exactly this involves with the following:
An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service
A dive into use cases and a demo of Altus
The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management
3 things to learn:
An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service
A dive into use cases and a demo of Altus
The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management
Learn how Amazon RDS makes it easy to deploy and operate a highly available and scalable SQL Server database in the cloud with cost-efficient and resizable capacity.
AWS March 2016 Webinar Series - Building Big Data Solutions with Amazon EMR a...Amazon Web Services
Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations.
Using a combination of Amazon EMR, a managed Hadoop framework, and Amazon Redshift, a managed petabyte-scale data warehouse, organizations can effectively address many of these requirements.
In this webinar, we will show how organizations are using Amazon EMR and Amazon Redshift to build more agile and scalable architectures for big data. We will look into how you can leverage Spark and Presto running on EMR, to address multiple data processing requirements. We will also share best practices and common use cases to integrate EMR and Redshift.
Learning Objectives:
• Best practices for building a big data architecture that includes Amazon EMR and Amazon Redshift
• Understand how to use technologies such as Amazon EMR, Presto and Spark to complement your data warehousing environment
• Learn key use cases for Amazon EMR and Amazon Redshift
Who Should Attend:
• Data architects, Data management professionals, Data warehousing professionals, BI professionals
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
This document summarizes announcements from re:Invent 2022 related to AWS data services. Over 40% of announcements were data-related. Key announcements included the introduction of Data Zone as a central platform for data organization and access control, new features for Redshift like dynamic data masking and auto copy from S3, updates to Glue including support for Pandas and data quality checks, and new connectors for Appflow totaling 22 additions. RDS and S3 also received updates around deployment improvements and multi-region access point failover controls.
Supply Chain Data Lake - Kartik Medha AWS Chicago.pptxAWS Chicago
This document discusses using AWS services to create a supply chain data hub. It proposes using AWS S3 to store supply chain planning, execution, and visibility data from various sources. It then suggests using AWS Athena, Glue, and Lake Formation to analyze the data. AWS Step Functions and SageMaker would be used to build models to predict shipment ETAs. This data hub would provide a single source of federated supply chain data to gain insights and improve planning, tracking, and visibility across an organization's supply chain operations.
(Diapositivas de presentación son en inglés.)
Cada vez estamos produciendo un mayor volumen de datos, y los negocios necesitan del análisis de está información al segundo (o incluso al milisegundo). AWS proporciona tecnologías para resolver los problemas del Big Data, pero qué servicios debo usar, porqué, cuándo, cómo?. En esta sesión hablaremos de las diferentes fases en el análisis de los datos: ingesta, almacenamiento, procesamiento y visualización, y de como elegir la tecnología adecuada para cada una de ellas.
re:Invent ARC307 - Serverless architectural patterns and best practices.pdfHeitor Lessa
As serverless architectures become more popular, customers need a framework of patterns to help them to identify how to leverage AWS to deploy their workloads without managing servers or operating systems. In this session, we describe reusable serverless patterns while considering costs. For each pattern, we provide operational, security, and reliability best practices and discuss potential challenges. We also demonstrate the implementation of some of the patterns in a reference solution. This session can help you recognize services and applications for serverless architectures in your own organization and understand areas of potential savings and increased agility and reliability.
Cloud Migration, Application Modernization, and Security Tom Laszewski
As AWS continues to expand, enterprise customers are looking to our partner ecosystem to assist in migrating their workloads to the cloud. This session describes the challenges, lessons learned and best practices for large scale application migrations. We will use real examples from our consulting partners and AWS Professional Services to illustrate how to move workloads to the cloud while modernizing the associated applications to take advantage of AWS’ unique benefits. We will also dive into how to use an array of AWS services and features to improve a customer’s security posture as they are migrating and once they are up and running in the cloud
The document discusses Amazon Web Services (AWS) and cloud computing. It provides an agenda for an introduction to AWS services including computing, storage, databases, analytics and security. It highlights AWS's global infrastructure, depth of services, continuous innovation and shared responsibility model. Examples of architectures using AWS services like EC2, S3, VPC and security groups are also presented.
Gestire la sicurezza nel Cloud: come iniziare ad implementare un processo Dev...Amazon Web Services
- AWS provides built-in security controls that customers don't need to manage themselves, like security groups and IAM.
- The Cloud Adoption Framework helps customers adapt existing practices or introduce new practices for cloud computing across five core security capabilities: identity and access management, detective controls, infrastructure security, data protection, and incident response.
- AWS services like CloudTrail, Config, Inspector, and Flow Logs provide detective controls to monitor activity and configuration changes. Services like OpsWorks, Shield, and WAF help secure infrastructure. Key Management Service, CloudHSM, and Certificate Manager help protect data. CloudWatch Events and Lambda can automate incident response.
Security & Governance on AWS – Better, Faster, and Cost Effective - Technical...Amazon Web Services
AWS and the Cloud has ushered in a new era for Information Security & Risk Professionals. In this session, we will talk through how the world's leading corporates are reinventing their internal GRC practices to enable their business to leverage the business value of AWS while improving the security posture of their organisation. We will talk about the journey undertaken by globally regulated entities such as Capital One who now believe they can operate more securely in the public cloud than they can in their own data centres. Finally, we will provide lessons and best practices on how you can use AWS to improve the security posture of your organisation.
Speaker: Rodney Haywood, Manager Solutions Architecture, Amazon Web Services
Featured Customer - Xero
(ISM304) Oracle to Amazon RDS MySQL & Aurora: How Gallup Made the MoveAmazon Web Services
Gallup moved its database from on-premises Oracle to Amazon RDS MySQL and Amazon Aurora on AWS to gain cost savings, scalability, high availability, and integration with other AWS services. The transition required developing workarounds for missing Oracle features in MySQL, rewriting stored procedures, and establishing new processes for deployment and operations on AWS. While Amazon RDS MySQL provided a cost-effective Oracle alternative, Gallup looks forward to better support and integration with AWS services in Amazon Aurora. The cloud migration met Gallup's business needs and positions it for scalable analytics and reporting in the future.
Serverless technologies like AWS Lambda has drastically simplified the task of building reactive systems - drop a file into S3 and a Lambda function would be triggered to process it, push an event into a Kinesis stream and magically it'll be processed by a Lambda function in real-time, you can even use Lambda to automate the process of auditing and securing your AWS account by automatically reacting to rule violations to your security policy.
Join us in this talk to see some architectural design patterns that have emerged with AWS Lambda, and learn how to pick the right event source based on the tradeoffs you want. Amongst the many patterns we'll explore, here are a few to whet your appetite : pub-sub, cron, push-pull, saga and decoupled invocation.
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Contenu connexe
Similaire à AWS RDS Data API and CloudTrail. Who drop the table_.pdf
Running Oracle Databases on Amazon RDS and Migrating to PostgreSQL (DAT307-R1...Amazon Web Services
If you'd like to move your Oracle databases to the cloud, this workshop is for you. We review the basics of Amazon Relational Database Service (Amazon RDS) and how Oracle databases run in Amazon RDS. We then leverage the combination of AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), and we show you how to migrate your databases to Amazon Aurora PostgreSQL. We provide an AWS CloudFormation template to set up the entire environment for the lab. You need a laptop with a Firefox or Chrome browser and a working AWS account.
This document discusses using AWS services for big data and analytics workflows. It describes collecting and storing data from various sources using services like S3, DynamoDB and Kinesis. It then discusses processing and analyzing that data using EMR, Redshift and other AWS analytics services. The results and insights can then be visualized, shared and fed back into the workflow on a continuous basis to drive real-time decisions.
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)Amazon Web Services
In this workshop, we focus on visualizations of IoT data using ELK, Amazon Elasticsearch, Logstash, and Kibana or Amazon Kinesis. We will dive into how these visualizations can give you new capabilites and understanding when interacting with your device data from the context they provide on the world around them.
Amazon Relational Database Service (Amazon RDS) provides a fully managed relational database service. The presentation discusses key features of RDS including security, customer stories, migration, monitoring, scaling, backups and high availability. It compares Amazon Aurora to MySQL databases and discusses trade-offs of using a managed database service versus self-managed databases.
Azure Data Factory for Redmond SQL PASS UG Sept 2018Mark Kromer
Azure Data Factory is a fully managed data integration service in the cloud. It provides a graphical user interface for building data pipelines without coding. Pipelines can orchestrate data movement and transformations across hybrid and multi-cloud environments. Azure Data Factory supports incremental loading, on-demand Spark, and lifting SQL Server Integration Services packages to the cloud.
Slides: Proven Strategies for Hybrid Cloud Computing with Mainframes — From A...DATAVERSITY
Mainframes continue to perform mission-critical transaction processing and contain massive amounts of core business data. But digital transformation initiatives and cloud computing have created both opportunities and challenges for unlocking and utilizing this data. Qlik and AWS will share some of the proven strategies from successful customer deployments across a range of different mainframe to cloud use cases, including legacy application modernization, data analytics, and data migrations.
In this presentation, you will learn how to:
• Replicate very large volumes of mainframe data in real-time to the cloud
• Automate the creation of analytics-ready data lakes and data warehouses
• Achieve a 30% reduction in cost of compute
Preparing data for analysis and insights is the foundation of any data-driven exercise. Moving workloads to a PaaS, be it data engineering, analytic database, or data science requires a two step leap of faith - in trusting the public cloud, and then your PaaS vendor. In this webinar we will discuss the architecture of a PaaS solution for data management and understand the nitty gritty details of what exactly this involves with the following:
An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service
A dive into use cases and a demo of Altus
The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management
3 things to learn:
An exploration of the architecture of Cloudera Altus PaaS - the industry’s first multi-function, multi-cloud data and analytic platform-as-a-service
A dive into use cases and a demo of Altus
The synergy between AWS and Altus to help you securely standardize on a combination of public cloud and data management
Learn how Amazon RDS makes it easy to deploy and operate a highly available and scalable SQL Server database in the cloud with cost-efficient and resizable capacity.
AWS March 2016 Webinar Series - Building Big Data Solutions with Amazon EMR a...Amazon Web Services
Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations.
Using a combination of Amazon EMR, a managed Hadoop framework, and Amazon Redshift, a managed petabyte-scale data warehouse, organizations can effectively address many of these requirements.
In this webinar, we will show how organizations are using Amazon EMR and Amazon Redshift to build more agile and scalable architectures for big data. We will look into how you can leverage Spark and Presto running on EMR, to address multiple data processing requirements. We will also share best practices and common use cases to integrate EMR and Redshift.
Learning Objectives:
• Best practices for building a big data architecture that includes Amazon EMR and Amazon Redshift
• Understand how to use technologies such as Amazon EMR, Presto and Spark to complement your data warehousing environment
• Learn key use cases for Amazon EMR and Amazon Redshift
Who Should Attend:
• Data architects, Data management professionals, Data warehousing professionals, BI professionals
AWS October Webinar Series - Getting Started with AWS IoTAmazon Web Services
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.
In this webinar, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device from the cloud using protocol of their choice. We will discuss how devices can securely connect using MQTT and HTTP protocols, and how developers and businesses can leverage features of AWS IoT like Thing Shadows and Rules Engine to build a real connected product.
This document summarizes announcements from re:Invent 2022 related to AWS data services. Over 40% of announcements were data-related. Key announcements included the introduction of Data Zone as a central platform for data organization and access control, new features for Redshift like dynamic data masking and auto copy from S3, updates to Glue including support for Pandas and data quality checks, and new connectors for Appflow totaling 22 additions. RDS and S3 also received updates around deployment improvements and multi-region access point failover controls.
Supply Chain Data Lake - Kartik Medha AWS Chicago.pptxAWS Chicago
This document discusses using AWS services to create a supply chain data hub. It proposes using AWS S3 to store supply chain planning, execution, and visibility data from various sources. It then suggests using AWS Athena, Glue, and Lake Formation to analyze the data. AWS Step Functions and SageMaker would be used to build models to predict shipment ETAs. This data hub would provide a single source of federated supply chain data to gain insights and improve planning, tracking, and visibility across an organization's supply chain operations.
(Diapositivas de presentación son en inglés.)
Cada vez estamos produciendo un mayor volumen de datos, y los negocios necesitan del análisis de está información al segundo (o incluso al milisegundo). AWS proporciona tecnologías para resolver los problemas del Big Data, pero qué servicios debo usar, porqué, cuándo, cómo?. En esta sesión hablaremos de las diferentes fases en el análisis de los datos: ingesta, almacenamiento, procesamiento y visualización, y de como elegir la tecnología adecuada para cada una de ellas.
re:Invent ARC307 - Serverless architectural patterns and best practices.pdfHeitor Lessa
As serverless architectures become more popular, customers need a framework of patterns to help them to identify how to leverage AWS to deploy their workloads without managing servers or operating systems. In this session, we describe reusable serverless patterns while considering costs. For each pattern, we provide operational, security, and reliability best practices and discuss potential challenges. We also demonstrate the implementation of some of the patterns in a reference solution. This session can help you recognize services and applications for serverless architectures in your own organization and understand areas of potential savings and increased agility and reliability.
Cloud Migration, Application Modernization, and Security Tom Laszewski
As AWS continues to expand, enterprise customers are looking to our partner ecosystem to assist in migrating their workloads to the cloud. This session describes the challenges, lessons learned and best practices for large scale application migrations. We will use real examples from our consulting partners and AWS Professional Services to illustrate how to move workloads to the cloud while modernizing the associated applications to take advantage of AWS’ unique benefits. We will also dive into how to use an array of AWS services and features to improve a customer’s security posture as they are migrating and once they are up and running in the cloud
The document discusses Amazon Web Services (AWS) and cloud computing. It provides an agenda for an introduction to AWS services including computing, storage, databases, analytics and security. It highlights AWS's global infrastructure, depth of services, continuous innovation and shared responsibility model. Examples of architectures using AWS services like EC2, S3, VPC and security groups are also presented.
Gestire la sicurezza nel Cloud: come iniziare ad implementare un processo Dev...Amazon Web Services
- AWS provides built-in security controls that customers don't need to manage themselves, like security groups and IAM.
- The Cloud Adoption Framework helps customers adapt existing practices or introduce new practices for cloud computing across five core security capabilities: identity and access management, detective controls, infrastructure security, data protection, and incident response.
- AWS services like CloudTrail, Config, Inspector, and Flow Logs provide detective controls to monitor activity and configuration changes. Services like OpsWorks, Shield, and WAF help secure infrastructure. Key Management Service, CloudHSM, and Certificate Manager help protect data. CloudWatch Events and Lambda can automate incident response.
Security & Governance on AWS – Better, Faster, and Cost Effective - Technical...Amazon Web Services
AWS and the Cloud has ushered in a new era for Information Security & Risk Professionals. In this session, we will talk through how the world's leading corporates are reinventing their internal GRC practices to enable their business to leverage the business value of AWS while improving the security posture of their organisation. We will talk about the journey undertaken by globally regulated entities such as Capital One who now believe they can operate more securely in the public cloud than they can in their own data centres. Finally, we will provide lessons and best practices on how you can use AWS to improve the security posture of your organisation.
Speaker: Rodney Haywood, Manager Solutions Architecture, Amazon Web Services
Featured Customer - Xero
(ISM304) Oracle to Amazon RDS MySQL & Aurora: How Gallup Made the MoveAmazon Web Services
Gallup moved its database from on-premises Oracle to Amazon RDS MySQL and Amazon Aurora on AWS to gain cost savings, scalability, high availability, and integration with other AWS services. The transition required developing workarounds for missing Oracle features in MySQL, rewriting stored procedures, and establishing new processes for deployment and operations on AWS. While Amazon RDS MySQL provided a cost-effective Oracle alternative, Gallup looks forward to better support and integration with AWS services in Amazon Aurora. The cloud migration met Gallup's business needs and positions it for scalable analytics and reporting in the future.
Serverless technologies like AWS Lambda has drastically simplified the task of building reactive systems - drop a file into S3 and a Lambda function would be triggered to process it, push an event into a Kinesis stream and magically it'll be processed by a Lambda function in real-time, you can even use Lambda to automate the process of auditing and securing your AWS account by automatically reacting to rule violations to your security policy.
Join us in this talk to see some architectural design patterns that have emerged with AWS Lambda, and learn how to pick the right event source based on the tradeoffs you want. Amongst the many patterns we'll explore, here are a few to whet your appetite : pub-sub, cron, push-pull, saga and decoupled invocation.
Similaire à AWS RDS Data API and CloudTrail. Who drop the table_.pdf (20)
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
This presentation by Tim Capel, Director of the UK Information Commissioner’s Office Legal Service, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
XP 2024 presentation: A New Look to Leadershipsamililja
Presentation slides from XP2024 conference, Bolzano IT. The slides describe a new view to leadership and combines it with anthro-complexity (aka cynefin).
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdfBen Linders
Psychological safety in teams is important; team members must feel safe and able to communicate and collaborate effectively to deliver value. It’s also necessary to build long-lasting teams since things will happen and relationships will be strained.
But, how safe is a team? How can we determine if there are any factors that make the team unsafe or have an impact on the team’s culture?
In this mini-workshop, we’ll play games for psychological safety and team culture utilizing a deck of coaching cards, The Psychological Safety Cards. We will learn how to use gamification to gain a better understanding of what’s going on in teams. Individuals share what they have learned from working in teams, what has impacted the team’s safety and culture, and what has led to positive change.
Different game formats will be played in groups in parallel. Examples are an ice-breaker to get people talking about psychological safety, a constellation where people take positions about aspects of psychological safety in their team or organization, and collaborative card games where people work together to create an environment that fosters psychological safety.
This presentation by OECD, OECD Secretariat, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Professor Giuseppe Colangelo, Jean Monnet Professor of European Innovation Policy, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
2. AWS Community
Key Takeaway
- Utilize AWS RDS Data API for secure database access and operations
- CloudTrail for auditing and activity monitoring
- Investigating incidents and preventing unauthorized access
- PostgreSQL Auditing (pgAudit) extension
6. AWS Community
Who did that?
-- Initial intended transfer
INSERT INTO transactions (from_account, to_account, amount, date)
VALUES ('12345', '67890', 100, '2024-02-12');
-- Attacker's transfer
INSERT INTO transactions (from_account, to_account, amount, date)
VALUES ('67890', 'attacker_account', 100, '2024-02-12');
-- Obscure the transaction
UPDATE transactions
SET from_account = 'unknown', to_account = 'unknown'
WHERE id = (SELECT MAX(id) FROM transactions);
-- Drop the audit_logs table
DROP TABLE audit_logs;
7. AWS Community
PostgreSQL Auditing (pgAudit) extension
More info:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Appendix.PostgreSQL.CommonDBATasks.pgaudit.html
8. AWS Community
Database Logs. Notifications
...
2024-02-12 19:09:49 UTC:...:john_doe@postgres:[11701]:LOG: AUDIT:
OBJECT,1,1,READ,UPDATE,TABLE,public.transactions,UPDATE transactions SET
amount = amount - 100 WHERE from_account = '12345' AND to_account = '54321';
...
More info:
https://aws.amazon.com/blogs/database/build-proactive-database-monitoring-for-amazon-rds-with-amazon-cloudwatch
-logs-aws-lambda-and-amazon-sns/
10. AWS Community
"Action": ["rds-db:connect"],
"Resource":
["arn:aws:rds-db:us-west-2:1234567890:db:db-ABCDEFGHIJKL01234/john_doe"]
CREATE USER john_doe;
GRANT rds_iam TO john_doe;
export RDSHOST="db.1234567890.us-west-2.rds.amazonaws.com"
export PGPASSWORD="$(aws rds generate-db-auth-token --hostname
$RDSHOST --port 5432 --region us-west-2 --username john_doe )"
IAM database authentication
More info:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAMDBAuth.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/UsingWithRDS.IAM.html
11. AWS Community
AWS Session Manager and Bastion Hosts
More info:
https://aws.amazon.com/blogs/mt/implementing-aws-session-manager-logging-guardrails-in-a-multi-account-environme
nt/
12. AWS Community
AWS RDS Proxy for IAM authentication
More info:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy.html
13. AWS Community
Turn on the Enhanced Logging feature of RDS Proxy. Logging gives detailed
information about the SQL statements. These logs are a useful resource to help
you understand certain authentication issues. Because this adds to performance
overhead, it's a best practice to turn them on only for debugging. To minimize
overhead, RDS Proxy automatically turns this setting off 24 hours after you turn it
on.
RDS Proxy limitations
More info: https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy-setup.html
15. AWS Community
AWS RDS Data API Use Cases
More info:
https://aws.amazon.com/blogs/database/using-the-data-api-to-interact-with-an-amazon-aurora-serverless-mysql-databa
se/
16. AWS Community
Query Editor for Amazon Aurora
More info: https://aws.amazon.com/blogs/database/using-the-data-api-to-interact-with-an-amazon-aurora-serverless-mysql-database/
17. AWS Community
Logging RDS Data API calls with AWS CloudTrail
More info: https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/logging-using-cloudtrail-data-api.html
"userIdentity": {
"arn": "arn:aws:iam::123456789012:user/johndoe"
},
"eventTime": "2024-02-14T00:49:34Z",
"eventSource": "rdsdataapi.amazonaws.com",
"eventName": "ExecuteStatement",
"awsRegion": "us-west-1",
"sourceIPAddress": "3.126.2.15",
"userAgent": "aws-cli/1.16.102 Python/3.7.2 Windows/10 botocore/1.12.92",
"requestParameters": {
"resourceArn": "arn:aws:rds:us-west-1:123456789012:cluster:db",
"sql": "UPDATE transactions SET amount = amount - 100 WHERE
from_account = '12345' AND to_account = '54321"},
18. AWS Community
Logging RDS Data API calls with AWS CloudTrail
More info: https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/logging-using-cloudtrail-data-api.html
"userIdentity": {
"arn": "arn:aws:iam::123456789012:user/johndoe"
},
"eventTime": "2024-02-14T00:49:34Z",
"eventSource": "rdsdataapi.amazonaws.com",
"eventName": "ExecuteStatement",
"awsRegion": "us-west-1",
"sourceIPAddress": "3.126.2.15",
"userAgent": "aws-cli/1.16.102 Python/3.7.2 Windows/10 botocore/1.12.92",
"requestParameters": {
"resourceArn": "arn:aws:rds:us-west-1:123456789012:cluster:db",
"sql": "UPDATE transactions SET amount = amount - 100 WHERE
from_account = '12345' AND to_account = '54321"},