In these slides we introduce real-time examples and architectures built using AWS Serverless components like AWS Lambda, AWS Fargate, AWS SNS, AWS SQS, AWS DynamoDB, AWS Kinesis, AWS API GW.
Github Repo: https://github.com/arconsis/aws-microservices-terraform-warmup
a session in AWS Riyadh User Group to discuss AWS RDS >> which is fully managed service to handle all Database management and administrations tasks with multiple engines support
The document outlines the agenda for a user group meeting on AWS VPC topics. The agenda includes reviewing default and custom VPCs, NAT instances and gateways, VPC peering, flow logs, endpoints, VPN connections, Direct Connect, limits and pricing, and exam tips. It also lists past topics such as storage, compute, databases, and networking services, as well as upcoming topics such as Lambda, cost optimization, and machine learning.
AWS January 2016 Webinar Series - Amazon Aurora for Enterprise Database Appli...Amazon Web Services
Amazon Aurora is a relational database service built from the ground up for the cloud. It is fully managed by AWS and provides enterprise-class availability, security, and performance while being simple and cost-effective. Aurora is designed to automatically scale throughput and storage, provide continuous backups, automated patching and replication across availability zones. It offers up to 15 low-latency read replicas and supports databases up to 64TB in size. Customers like Expedia and Alfresco are using Aurora to power their mission critical workloads at scale in a cost-effective manner compared to commercial databases.
This document discusses implementing mandatory access control and account separation on AWS to improve security. It recommends:
1. Using SELinux on AWS instances to enforce mandatory access control policies that cannot be changed, even by administrators.
2. Implementing the first native MAC service on AWS, Glacier Vault Lock, which sets immutable policies on vaults.
3. Structuring AWS accounts to separate resources, logging, auditing and billing into different accounts controlled by cross-account access policies and IAM roles to restrict what actions and resources each account can access.
The document provides an overview of AWS Database Migration Service (AWS DMS). It explains that AWS DMS allows users to easily and securely migrate or replicate databases to AWS. It describes how to use AWS DMS by creating a replication instance, specifying source and target endpoints, and then creating a migration task to transfer data from the source to target. Key aspects of the replication instance, endpoints, and tasks are also defined.
In these slides we introduce real-time examples and architectures built using AWS Serverless components like AWS Lambda, AWS Fargate, AWS SNS, AWS SQS, AWS DynamoDB, AWS Kinesis, AWS API GW.
Github Repo: https://github.com/arconsis/aws-microservices-terraform-warmup
a session in AWS Riyadh User Group to discuss AWS RDS >> which is fully managed service to handle all Database management and administrations tasks with multiple engines support
The document outlines the agenda for a user group meeting on AWS VPC topics. The agenda includes reviewing default and custom VPCs, NAT instances and gateways, VPC peering, flow logs, endpoints, VPN connections, Direct Connect, limits and pricing, and exam tips. It also lists past topics such as storage, compute, databases, and networking services, as well as upcoming topics such as Lambda, cost optimization, and machine learning.
AWS January 2016 Webinar Series - Amazon Aurora for Enterprise Database Appli...Amazon Web Services
Amazon Aurora is a relational database service built from the ground up for the cloud. It is fully managed by AWS and provides enterprise-class availability, security, and performance while being simple and cost-effective. Aurora is designed to automatically scale throughput and storage, provide continuous backups, automated patching and replication across availability zones. It offers up to 15 low-latency read replicas and supports databases up to 64TB in size. Customers like Expedia and Alfresco are using Aurora to power their mission critical workloads at scale in a cost-effective manner compared to commercial databases.
This document discusses implementing mandatory access control and account separation on AWS to improve security. It recommends:
1. Using SELinux on AWS instances to enforce mandatory access control policies that cannot be changed, even by administrators.
2. Implementing the first native MAC service on AWS, Glacier Vault Lock, which sets immutable policies on vaults.
3. Structuring AWS accounts to separate resources, logging, auditing and billing into different accounts controlled by cross-account access policies and IAM roles to restrict what actions and resources each account can access.
The document provides an overview of AWS Database Migration Service (AWS DMS). It explains that AWS DMS allows users to easily and securely migrate or replicate databases to AWS. It describes how to use AWS DMS by creating a replication instance, specifying source and target endpoints, and then creating a migration task to transfer data from the source to target. Key aspects of the replication instance, endpoints, and tasks are also defined.
Deep dive into cloud security - Jaimin Gohel & Virendra RathoreNSConclave
Deep-Dive into AWS Pentesting Cloud Security Workshop
The presentation provides an overview of Amazon Web Services (AWS) and how to pentest AWS services. It covers various AWS services like EC2, S3, Lambda, RDS, IAM and tools that can be used for pentesting. It demonstrates how to find and exploit vulnerabilities in S3 buckets and discusses common attack vectors for services like EC2 and ways to escalate privileges in IAM. The presentation aims to help security professionals learn how to securely test cloud environments hosted on AWS.
Introduction to AWS and Terraform. In these slides we introduce AWS, cloud networking and cloud native workflows using infrastructure as code via Terraform.
The document discusses a presentation given to the AWS Riyadh User Group on networking concepts and Amazon VPC components. It provides an overview of VPCs and their usage, including how to create a VPC, subnets, route tables, internet gateways, NAT gateways, network access control lists, and security groups. It also describes common networking concepts like the OSI model, IPv4 vs IPv6, subnetting, and NAT. The presentation concludes with instructions for a hands-on lab to build a sample VPC configuration.
AWS Elastic Beanstalk allows developers to quickly deploy and manage applications on AWS without worrying about infrastructure management. It automatically provisions and scales the necessary AWS resources (EC2 instances, load balancers, etc.) to run applications developed using supported languages/frameworks like Java, PHP, .NET, Python and Ruby. Elastic Beanstalk provides management features like easy deployment of application versions, built-in monitoring, log access, and automatic platform updates. It differs from AWS Lambda in that Lambda is for building serverless applications with microservices while Elastic Beanstalk is for full application deployment and management.
The document summarizes messaging services on AWS. It provides overviews and details of Amazon MQ, Amazon SQS, Amazon Kinesis, Amazon SNS, Amazon PinPoint, and AWS IoT Message Broker. These services enable event-driven architectures and the exchange of information between distributed systems and microservices through queuing, streaming, and publishing of messages. Key features highlighted include scalability, reliability, encryption, and integration with other AWS services.
- IBM Cloud Object Storage (ICOS) is a scalable object storage service that supports objects up to 10 TB and 100 buckets maximum. It provides S3 API compatibility and is IAM enabled.
- ICOS offers four storage classes - Standard, Vault, Cold Vault, and Flex - with different access frequencies and retrieval fees. Resiliency can be achieved through cross-region, regional, or single datacenter replication.
- Access to ICOS can be through public or private endpoints. Security features include firewalls, automatic server-side encryption, and optional customer-managed keys or Key Protect. Aspera provides high-speed transfer through desktop agents.
- Lifecycle rules can automate object expiration
This document provides an overview of Amazon Web Services including EC2, S3, and EMR. It discusses regions and availability zones in EC2, how to set up VPCs, different EC2 instance types, AMIs, key pairs, and the differences between EBS and instance store. It also covers S3 concepts like buckets, objects, storage classes, and access controls. Finally, it briefly introduces EMR and how it provides a managed Hadoop framework on EC2 instances with integration to S3 for storage. The document includes demos of working with EC2 instances and EBS volumes, S3 buckets, and creating an EMR cluster.
The document provides information about AWS services including EC2, S3, and CloudFront. It discusses EC2 instance types, pricing models, and storage options. It describes S3's 99.999999999% durability, storage tiers including standard, infrequent access, and glacier, and encryption options. CloudFront is introduced as a CDN that caches content at edge locations to improve distribution.
Introduction to AWS Serverless. In these slides we introduce AWS Serverless, we define what is serverless, we explore Amazon services which can be used to create serverless flows like Lambda, SQS, SNS, Api Gateway, DynamoDB and finally we use Terraform to deploy a serverless API in AWS.
This document provides an overview of Amazon EC2 and S3 services. It describes EC2 regions, availability zones, VPC configuration, instance types (on-demand, reserved, spot), AMIs, EBS vs instance storage, security groups, auto scaling, and fleet management. For S3, it outlines buckets, objects, storage classes, versioning, lifecycle policies, encryption in transit and at rest, and demos enabling versioning and uploading to an encrypted bucket.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
This document discusses several security tools and compliance certifications available on Amazon Web Services (AWS). It provides information on:
1. AWS Config Rules which allows customers to automatically check their AWS resources for compliance with security best practices.
2. AWS Inspector which scans EC2 instances for security vulnerabilities and provides remediation guidance.
3. AWS Certificate Manager which allows customers to easily provision, manage and deploy SSL/TLS certificates for use with AWS services like Elastic Load Balancing and CloudFront.
4. Various security certifications AWS has obtained including ISO 27001, ISO 27017, ISO 27018 which demonstrate AWS' compliance with international security standards.
Optimizing the Data Tier for Serverless Web Applications - March 2017 Online ...Amazon Web Services
This document summarizes an AWS webinar on optimizing the data tier for serverless web applications. The webinar covered anatomy of serverless apps, data tier options on AWS including DynamoDB, RDS, and ElastiCache. It discussed NoSQL vs SQL considerations and best practices for using AWS Lambda with each data store. Additional best practices covered caching, retries, and event ordering for serverless architectures.
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
One of the most fundamental challenges of CI/CD is the ability to balance between Quality, Time, and Cost. Amazon EC2 Container Service (ECS), along with Docker and Amazon EC2 Container Registry (ECR), has changed the game for many by making resource management very simple. For Okta, it has enabled the Continuous Integration team to maximize throughput while minimizing cost. In this session we will show you how Okta has created a flexible CI system with ECS, Docker, ECR, AWS Lambda, AWS CloudFormation, Amazon RDS, and Amazon SQS. Okta runs 30,000 tests with each developer commit, and releases 10,000 new lines of code each week to production. The CI system, built 100% on AWS, must be able to handle load while keeping cost under control. This talk is oriented toward developers looking to achieve efficient resource and cost management without compromising speed or quality.
Hybride Cloud Infrastrukturen durch Integration mit Active Directory - AWS Cl...AWS Germany
Vortrag "Hybride Cloud Infrastrukturen durch Integration mit Active Directory" von Justin Bradley beim AWS Cloud Web Day für Windows Anwendungen. Alle Videos und Präsentationen finden Sie hier: http://amzn.to/1Ucuzzx
AWS re:Invent 2016: How Harvard University Improves Scalable Cloud Network Se...Amazon Web Services
With constantly evolving threats across the Internet, Harvard University deployed a security network platform to mitigate cyber threats, current and future, to protect institutional and research data. By using multiple geographic locations, best of breed equipment, and network automation, Harvard provides visibility, availability, and multilayer protections for their cloud network. This talk discusses the benefits, considerations, and lessons learned from using their security network platform at the edge of the cloud. Learn how Harvard designed and deployed the platform, utilizing serverless architecture to orchestrate the solution from within to protect their most sensitive data and afford students, faculty, and staff the flexibility of cloud computing.
This document provides definitions and explanations of key concepts related to cloud computing. It defines cloud computing as the on-demand delivery of computing resources like servers, storage, databases, and applications via the internet, with a pay-as-you-go pricing model. The document then discusses the history of major cloud companies and offerings, characteristics of cloud computing, common service and deployment models, and analogies and terminology used in cloud computing.
Migrate your Data Warehouse to Amazon Redshift - September Webinar SeriesAmazon Web Services
- TrueCar migrated their data warehouse from an on-premises Hadoop cluster to Amazon Redshift. They load clickstream, transactions, inventory, and lead data into Redshift for analytics and reporting.
- They use ETL tools like Talend and Hive to process data and load it into HDFS and S3, then load it into Redshift using a custom utility. The data is organized into schemas separating raw, user, and reporting data.
- Best practices for Redshift include designing tables for compression, sort keys, and distribution, managing cluster size and workloads over time, and vacuuming and analyzing tables regularly. TrueCar's migration to Redshift improved performance and reduced costs.
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.
Deep dive into cloud security - Jaimin Gohel & Virendra RathoreNSConclave
Deep-Dive into AWS Pentesting Cloud Security Workshop
The presentation provides an overview of Amazon Web Services (AWS) and how to pentest AWS services. It covers various AWS services like EC2, S3, Lambda, RDS, IAM and tools that can be used for pentesting. It demonstrates how to find and exploit vulnerabilities in S3 buckets and discusses common attack vectors for services like EC2 and ways to escalate privileges in IAM. The presentation aims to help security professionals learn how to securely test cloud environments hosted on AWS.
Introduction to AWS and Terraform. In these slides we introduce AWS, cloud networking and cloud native workflows using infrastructure as code via Terraform.
The document discusses a presentation given to the AWS Riyadh User Group on networking concepts and Amazon VPC components. It provides an overview of VPCs and their usage, including how to create a VPC, subnets, route tables, internet gateways, NAT gateways, network access control lists, and security groups. It also describes common networking concepts like the OSI model, IPv4 vs IPv6, subnetting, and NAT. The presentation concludes with instructions for a hands-on lab to build a sample VPC configuration.
AWS Elastic Beanstalk allows developers to quickly deploy and manage applications on AWS without worrying about infrastructure management. It automatically provisions and scales the necessary AWS resources (EC2 instances, load balancers, etc.) to run applications developed using supported languages/frameworks like Java, PHP, .NET, Python and Ruby. Elastic Beanstalk provides management features like easy deployment of application versions, built-in monitoring, log access, and automatic platform updates. It differs from AWS Lambda in that Lambda is for building serverless applications with microservices while Elastic Beanstalk is for full application deployment and management.
The document summarizes messaging services on AWS. It provides overviews and details of Amazon MQ, Amazon SQS, Amazon Kinesis, Amazon SNS, Amazon PinPoint, and AWS IoT Message Broker. These services enable event-driven architectures and the exchange of information between distributed systems and microservices through queuing, streaming, and publishing of messages. Key features highlighted include scalability, reliability, encryption, and integration with other AWS services.
- IBM Cloud Object Storage (ICOS) is a scalable object storage service that supports objects up to 10 TB and 100 buckets maximum. It provides S3 API compatibility and is IAM enabled.
- ICOS offers four storage classes - Standard, Vault, Cold Vault, and Flex - with different access frequencies and retrieval fees. Resiliency can be achieved through cross-region, regional, or single datacenter replication.
- Access to ICOS can be through public or private endpoints. Security features include firewalls, automatic server-side encryption, and optional customer-managed keys or Key Protect. Aspera provides high-speed transfer through desktop agents.
- Lifecycle rules can automate object expiration
This document provides an overview of Amazon Web Services including EC2, S3, and EMR. It discusses regions and availability zones in EC2, how to set up VPCs, different EC2 instance types, AMIs, key pairs, and the differences between EBS and instance store. It also covers S3 concepts like buckets, objects, storage classes, and access controls. Finally, it briefly introduces EMR and how it provides a managed Hadoop framework on EC2 instances with integration to S3 for storage. The document includes demos of working with EC2 instances and EBS volumes, S3 buckets, and creating an EMR cluster.
The document provides information about AWS services including EC2, S3, and CloudFront. It discusses EC2 instance types, pricing models, and storage options. It describes S3's 99.999999999% durability, storage tiers including standard, infrequent access, and glacier, and encryption options. CloudFront is introduced as a CDN that caches content at edge locations to improve distribution.
Introduction to AWS Serverless. In these slides we introduce AWS Serverless, we define what is serverless, we explore Amazon services which can be used to create serverless flows like Lambda, SQS, SNS, Api Gateway, DynamoDB and finally we use Terraform to deploy a serverless API in AWS.
This document provides an overview of Amazon EC2 and S3 services. It describes EC2 regions, availability zones, VPC configuration, instance types (on-demand, reserved, spot), AMIs, EBS vs instance storage, security groups, auto scaling, and fleet management. For S3, it outlines buckets, objects, storage classes, versioning, lifecycle policies, encryption in transit and at rest, and demos enabling versioning and uploading to an encrypted bucket.
AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features.
This document discusses several security tools and compliance certifications available on Amazon Web Services (AWS). It provides information on:
1. AWS Config Rules which allows customers to automatically check their AWS resources for compliance with security best practices.
2. AWS Inspector which scans EC2 instances for security vulnerabilities and provides remediation guidance.
3. AWS Certificate Manager which allows customers to easily provision, manage and deploy SSL/TLS certificates for use with AWS services like Elastic Load Balancing and CloudFront.
4. Various security certifications AWS has obtained including ISO 27001, ISO 27017, ISO 27018 which demonstrate AWS' compliance with international security standards.
Optimizing the Data Tier for Serverless Web Applications - March 2017 Online ...Amazon Web Services
This document summarizes an AWS webinar on optimizing the data tier for serverless web applications. The webinar covered anatomy of serverless apps, data tier options on AWS including DynamoDB, RDS, and ElastiCache. It discussed NoSQL vs SQL considerations and best practices for using AWS Lambda with each data store. Additional best practices covered caching, retries, and event ordering for serverless architectures.
Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?
In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.
One of the most fundamental challenges of CI/CD is the ability to balance between Quality, Time, and Cost. Amazon EC2 Container Service (ECS), along with Docker and Amazon EC2 Container Registry (ECR), has changed the game for many by making resource management very simple. For Okta, it has enabled the Continuous Integration team to maximize throughput while minimizing cost. In this session we will show you how Okta has created a flexible CI system with ECS, Docker, ECR, AWS Lambda, AWS CloudFormation, Amazon RDS, and Amazon SQS. Okta runs 30,000 tests with each developer commit, and releases 10,000 new lines of code each week to production. The CI system, built 100% on AWS, must be able to handle load while keeping cost under control. This talk is oriented toward developers looking to achieve efficient resource and cost management without compromising speed or quality.
Hybride Cloud Infrastrukturen durch Integration mit Active Directory - AWS Cl...AWS Germany
Vortrag "Hybride Cloud Infrastrukturen durch Integration mit Active Directory" von Justin Bradley beim AWS Cloud Web Day für Windows Anwendungen. Alle Videos und Präsentationen finden Sie hier: http://amzn.to/1Ucuzzx
AWS re:Invent 2016: How Harvard University Improves Scalable Cloud Network Se...Amazon Web Services
With constantly evolving threats across the Internet, Harvard University deployed a security network platform to mitigate cyber threats, current and future, to protect institutional and research data. By using multiple geographic locations, best of breed equipment, and network automation, Harvard provides visibility, availability, and multilayer protections for their cloud network. This talk discusses the benefits, considerations, and lessons learned from using their security network platform at the edge of the cloud. Learn how Harvard designed and deployed the platform, utilizing serverless architecture to orchestrate the solution from within to protect their most sensitive data and afford students, faculty, and staff the flexibility of cloud computing.
This document provides definitions and explanations of key concepts related to cloud computing. It defines cloud computing as the on-demand delivery of computing resources like servers, storage, databases, and applications via the internet, with a pay-as-you-go pricing model. The document then discusses the history of major cloud companies and offerings, characteristics of cloud computing, common service and deployment models, and analogies and terminology used in cloud computing.
Migrate your Data Warehouse to Amazon Redshift - September Webinar SeriesAmazon Web Services
- TrueCar migrated their data warehouse from an on-premises Hadoop cluster to Amazon Redshift. They load clickstream, transactions, inventory, and lead data into Redshift for analytics and reporting.
- They use ETL tools like Talend and Hive to process data and load it into HDFS and S3, then load it into Redshift using a custom utility. The data is organized into schemas separating raw, user, and reporting data.
- Best practices for Redshift include designing tables for compression, sort keys, and distribution, managing cluster size and workloads over time, and vacuuming and analyzing tables regularly. TrueCar's migration to Redshift improved performance and reduced costs.
Getting Started with Managed Database Services on AWS - September 2016 Webina...Amazon Web Services
On AWS you can choose from a variety of managed database services that save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We'll explain the fundamentals of Amazon RDS, a managed relational database service in the cloud; Amazon DynamoDB, a fully managed NoSQL database service; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.
Learning Objectives:
• Overview of managed database services available on AWS
• How to combine them for high-performance cost effective architectures
• Learn how to choose between the AWS database services based on the use case
Who Should Attend:
• IT Managers, DBAs, Enterprise and Solution Architects, IT Managers, DBAs, Enterprise and Solution Architects, Devops Engineers and Developers
Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.
Amazon Web Services provides several offerings for connecting IoT devices to the cloud:
- Amazon EC2 provides scalable virtual servers for hosting IoT applications and services. Auto Scaling automatically scales EC2 capacity as needed.
- Amazon S3 and DynamoDB provide cloud storage for IoT data. S3 stores large unstructured data while DynamoDB supports fast NoSQL access.
- Additional services like RDS, Lambda and rules engine help process and integrate IoT data with other AWS services and applications.
- AWS IoT provides secure bi-directional communication between devices and AWS cloud services, and includes components for device connectivity, messaging, rules processing and device management.
Talking about modern cloud architectures. AWS being the key component. The sides show how cloud solutions can be incorporated for different businesses. Different components of a cloud are explained in detail. With pictorial representations o the architecture.
AWS provides a global infrastructure with 11 regions and 52 edge locations to host computing, storage, database, analytics, and application services. It offers virtual servers (EC2), load balancing, virtual desktops, and auto-scaling for compute. Storage options include S3 object storage, EBS block storage, and archival storage (Glacier). Relational databases include RDS for SQL and NoSQL includes DynamoDB. Analytics services include Redshift data warehousing, Kinesis real-time processing, and EMR for big data. Application services include SQS for messaging, SWF for workflows, SNS for notifications, and SES for email. Management tools include IAM for security, CloudWatch for monitoring, Ops
AWS provides a global infrastructure with 11 regions and 52 edge locations to host computing, storage, database, analytics, and application services. It offers virtual servers (EC2), load balancing, virtual desktops, and auto-scaling for compute. Storage options include S3 object storage, EBS block storage, and archival storage (Glacier). Relational databases include RDS for SQL and NoSQL includes DynamoDB. Analytics services include Redshift data warehousing, Kinesis for real-time processing, and EMR for big data. Application services include SQS for messaging, SWF for workflows, SNS for notifications, and SES for email. Management tools include IAM for security, CloudWatch for monitoring,
Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
Cloud computing is a model that enables convenient access to a shared pool of configurable computing resources. It provides on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing has three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also has four deployment models - private cloud, community cloud, public cloud, and hybrid cloud. Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of commodity hardware. It was developed to address the need to process big data at a reasonable cost and time.
Cloud Computing with Amazon Web Services.
AWS Cloud Solutions - Websites, Archiving, Data Lakes and Analytics, Serverless Computing, Internet of Things and more.
Containers in AWS - Amazon Elastic Container Service, Fargate, and EKS
Big Data and the Data lake implementation in AWS
Machine Learning with Amazon SageMaker - Build, train, and deploy machine learning models at scale.
AWS Identity and Access Management (IAM) - Securely manage access to AWS services and resources.
AWS Pricing - How does AWS pricing work?
Cloud computing is a model that provides on-demand access to a shared pool of configurable computing resources. It has characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document then discusses Infrastructure as a Service (IaaS) specifically, describing Amazon EC2 as an example of IaaS and its key concepts such as AMIs, regions, storage options, networking, security, monitoring and auto-scaling.
Kalibrr is a startup that provides an online talent assessment platform. They launched their minimum viable product (MVP) on AWS in March 2013, seeing user growth from 0 to 25,000 in two months. AWS allowed Kalibrr to scale easily and provided reliability with no downtime. Kalibrr uses EC2 instances to host their web servers, SES for email, S3 for content storage, ELB for load balancing, and Route 53 for DNS management. AWS's scalability, ease of use, and reliability helped Kalibrr launch their MVP successfully and support further growth.
1. IAM manages identities and access control for AWS resources by controlling authentication and authorization. It uses users, groups, roles, and access policies.
2. EC2 allows users to launch virtual servers and configure security, networking, and storage. Elastic Block Store provides block-level storage volumes for applications. Elastic Load Balancing distributes traffic across targets. Auto Scaling automatically adjusts capacity based on performance.
3. Database services include RDS for relational databases, DynamoDB for NoSQL, S3 for object storage, and Aurora which is compatible with MySQL and PostgreSQL.
This document discusses how to automate application deployment on AWS using DevOps tools and practices. It provides an overview of cloud computing concepts like AWS services, virtual private clouds, load balancing, and auto scaling. It then explains that DevOps aims to break down silos between development and operations teams through practices like continuous integration/continuous delivery (CI/CD) pipelines. The document outlines how AWS code services like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline can be used to automate the application deployment process from source control to production.
If you could not be one of the 60,000+ in attendance at Amazon AWS re:Invent, the yearly Amazon Cloud Conference, get the 411 on what major announcements that were made in Las Vegas. This presentation covers new AWS services & products, exciting announcements, and updated features.
The document provides an overview of Amazon Web Services (AWS) global infrastructure and services. It describes AWS' presence across regions, availability zones, and edge locations. It then summarizes key compute, storage, database, analytics, deployment/management, and other services available on AWS like EC2, S3, RDS, Redshift, CloudFormation, and more. Finally, it thanks the reader and provides contact information for the AWS Solutions Architect who authored the overview.
Managed Cloud Services for Siebel CRM on Amazon AWSMilind Waikul
Managed cloud services are provided for running Siebel on Amazon AWS. Key AWS components used include EC2 for compute capacity, RDS for database services, and VPC for virtual private networks. Siebel instances are deployed in a VPC configured with public and private subnets for security. Databases can be set up for high availability using multi-AZ RDS. Enterprise Beacon specializes in Siebel implementations on AWS and provides automation and management services through their Cloud Management Framework. They outline a 5E roadmap approach for piloting, implementing, and evolving Siebel on AWS cloud services.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
4. AWS EC2
• Virtual computing environments, known as instances.
• Provides scalable computing capacity in AWS Cloud.
• Enables you to scale up or down to handle changes.
• Various configurations of CPU, memory, storage, and networking capacity
for your instances, known as instance types.
• Secure login information for your instances using key pairs.
• A firewall that enables you to specify the protocols, ports, and source IP
ranges that can reach your instances using security groups
• Virtual networks you can create that are logically isolated from the rest of
the AWS cloud, and that you can optionally connect to your own network,
known as virtual private clouds (VPCs).
5.
6. AWS Lambda
• AWS Lambda is a compute service that lets you run code without managing
servers, operating system, capacity provisioning, scaling, code monitoring
and logging.
• AWS Lambda executes your code only when needed and scales
automatically, from a few requests per day to thousands per second.
• AWS Lambda run your code in response to events-
build serverless applications.
• Code in one of the languages that AWS Lambda supports-
1. Node.js
2. Java
3. C#
4. Go
5. Python
7.
8. AWS RDS(Relational Database Service)
• Amazon RDS is a web service that makes it easier to set up, operate,
and scale a relational database in the cloud.
• The basic infrastructure components that RDS offers-
1. Amazon Aurora
2. MariaDB
3. Microsoft SQL Server
4. MySQL
5. Oracle
6. PostgreSQL
9.
10. AWS DynamoDB
• Amazon DynamoDB is a fully managed NoSQL database service that
provides fast and predictable performance with seamless scalability.
• DynamoDB offers encryption at rest, which eliminates the operational
burden and complexity involved in protecting sensitive data.
• With DynamoDB, you can create database tables that can store and retrieve
any amount of data, and serve any level of request traffic.
• You can scale up or scale down your tables' throughput capacity without
downtime or performance degradation, and use the AWS Management
Console to monitor resource utilization and performance metrics.
11. • Amazon DynamoDB provides on-demand backup capability. It allows you
to create full backups of your tables for long-term retention and archival for
regulatory compliance needs.
• DynamoDB automatically spreads the data and traffic for your tables over a
sufficient number of servers to handle your throughput and storage
requirements, while maintaining consistent and fast performance.
• All of your data is stored on solid state disks (SSDs) and automatically
replicated across multiple Availability Zones in an AWS region, providing
built-in high availability and data durability. You can use global tables to
keep DynamoDB tables in sync across AWS Regions.
• DynamoDB allows you to delete expired items from tables automatically to
help you reduce storage usage and the cost of storing data that is no longer
relevant.
13. AWS IoT Core
• Thing – A logical representation of a device. Supports attributes, as
well as Device Shadows, which can be used to store device state & define
desired state.
• Policy – Attached to Certificates to dictate what that Certificate is
entitled to do on AWS IoT.
• Certificate – Things can communicate with AWS IoT via MQTT or
HTTPS. MQTT transmission to your AWS IoT gateway is authenticated
using certificates you will create.
• Rule – Leverages AWS IoT’s Rules Engine to dictate how messages
sent from Things to AWS IoT are handled. You will configure rules that
send data published to an MQTT topic to a variety of AWS Services.
16. ELK
• ELK Stack is a combination of three open source
tools which form a log management
tool/platform that helps in deep searching,
analyzing and visualizing the log generated from
different IoT devices.
• E- Elasticsearch
L- Logstash
K- Kibana
18. Elasticsearch
• Real time distributed and analytics engine.
• Open Source developed in Java.
• Supports full-text search i.e completely document based
instead of tables and schemas.
• Used for Single Page Application Projects.
• Lets you perform many types of searches like structured,
unstructured, geo etc.
21. Logstash
• Data coming from the server is centrally pulled by a
pipeline provided by logstash.
• Centralizes the data processing.
• Collects, parses and analyses large variety of
structured/unstructured data and events.
22. Kibana
• Visualization tool.
• Provides real time analysis, summarization,
charting and debugging capabilities.
• User friendly interface.
• Allows sharing of snapshots of the log.
• Permits saving the dashboard.
• Allows multiple dashboards.
24. IAM(Identity Access Management)
• AWS Identity and Access Management (IAM) is a web service that
helps you securely control access to AWS resources.
• You use IAM to control who is authenticated (signed in) and
authorized (has permissions) to use resources.
• IAM Features:
1. Shared access to your AWS account
2. Granular permissions
3. Multi-factor authentication (MFA)
4. Eventually Consistent
5. Free to use
6. Integrated with many AWS services
25. CloudWatch
• Amazon CloudWatch monitors your Amazon Web Services (AWS) resources
and the applications you run on AWS in real time.
• CloudWatch collects and track metrics, which are variables you can
measure for your resources and applications.
• CloudWatch alarms send notifications or automatically make changes to the
resources you are monitoring based on rules that you define.
• With CloudWatch, you gain system-wide visibility into resource utilization,
application performance, and operational health.
26. CloudFormation
• AWS CloudFormation is a service that helps you model and set up your
Amazon Web Services resources so that you can spend less time managing
those resources and more time focusing on your applications that run in
AWS.
• You create a template that describes all the AWS resources that you want,
and AWS CloudFormation takes care of provisioning and configuring those
resources for you.
• Benefits-
1. Simplify Infrastructure Management
2. Quickly Replicate Your Infrastructure
3. Easily Control and Track Changes to Your Infrastructure
27. Device MQTT Broker
AWS IoT
Core
Rule Engine
ElasticsearchKibanaDashboard
Architecture of a Device sending Data to Kibana
Fig.
Sample Kibana
Dashboard
28. Amazon Cognito
• Provides authentication, authorization, and user management for all web
and mobile apps.
• The two main components of Amazon Cognito are
▫ User pools
▫ Identity pools
• A user pool is a user directory in Amazon Cognito.
• With an identity pool, users can obtain temporary AWS credentials to
access AWS services, such as Amazon S3 and DynamoDB.
30. Jobs
• AWS IoT jobs can be used to define a set of remote operations that are sent
to and executed on one or more devices connected to AWS IoT.
• For example, there can be a job that instructs a set of devices to download
and install application or firmware updates, reboot, rotate certificates, or
perform remote troubleshooting operations.
• Jobs are of two types:
▫ Snapshot job:- By default, a job is sent to all targets that you specify
when you create the job. After those targets complete the job (or report
that they are unable to do so), the job is complete.
▫ Continuous job:- A continuous job is sent to all targets that you specify
when you create the job, but continues to run and will be sent to any new
devices (things) that are added to the target group.
31. EBS(Elastic Block Storage)
• EBS is the block storage that is automatically allotted once the Elasticsearch
domain is created.
• EBS volumes offers high availability and durability.
• Amazon EBS encryption provides seamless support for data-at-rest and
data-in-transit between EC2 instances and EBS volumes.
• Advantages of EBS volumes:
▫ Reliable, Secure Storage
▫ Consistent, Low-latency Performance
▫ Optimized Performance
▫ Quickly Scale Up, Easily Scale Down
32. IoT Analytics
• IoT Analytics is a fully managed service that makes it easy to run
sophisticated analytics on massive volumes of IoT data without having to
worry about all the cost and complexity.