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(BAC404) Deploying High Availability and Disaster Recovery Architectures with...Amazon Web Services
The document discusses disaster recovery strategies for AWS including backup and restore, pilot light, and warm standby approaches. It provides examples of architectures using these approaches including replicating databases across Availability Zones and regions for high availability and disaster recovery. CloudFormation templates are shown that can automate the deployment of load balanced auto-scaled web servers across Availability Zones for disaster recovery.
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This document introduces Microsoft Azure and describes its infrastructure and services. It explains that Azure provides computing resources and services through a global network of data centers (the cloud) that users can access from anywhere via the internet. It provides infrastructure (IaaS), platform (PaaS), and software (SaaS) services that users can leverage to build and manage applications and infrastructure. The document demonstrates key Azure services like virtual machines, storage, networking, and traffic management.
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This document discusses MongoDB options on Azure, including MongoDB on Azure Virtual Machines (VMs). It provides an overview of Azure and the different deployment models. MongoDB can be installed on Linux or Windows VMs on Azure, which provide up to 112GB of RAM and 16TB of attached storage. MongoDB is also available as a hosted service on Azure from providers like MongoLab and MongoDB Inc. The document demonstrates how to provision a MongoDB replica set across Azure VMs and configure endpoints. It provides examples of automating MongoDB deployments on Azure and links to additional resources for using MongoDB on Azure.
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The document discusses high availability for websites. It recommends hosting static assets like images and files on Amazon S3 for high durability and redundancy. For dynamic websites, it suggests using Amazon EC2 for compute and auto-scaling and Amazon RDS for databases. This allows building multi-tier applications across availability zones for tolerance to failures. It also discusses using Amazon CloudFront for content distribution and an elastic load balancer for traffic management across redundant application servers.
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Rob Cameron presented on migrating the League of Legends platform to AWS. Some key points:
- The platform includes chat, store, matchmaking, player statistics, and game servers running on microservices.
- They used Terraform for infrastructure as code and Packer for image builds. Custom tools were developed in Golang.
- The architecture places shared services, platforms, load testing, and game servers in separate VPCs with Direct Connect to Riot datacenters.
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Si stima che i clienti abbiamo in totale 256 EB di file shares in locale. La gestione di questi file systems è onerosa e comporta problematiche sia di budget (CAPEX) che di operation (gestione, scalabilità, data protection). Tipicamente gli apparati NAS locali devono essere sostituiti ogni 3-5 anni, obbligando i clienti a fare un capacity planning pluriennale e richiedendo un progetto a sè stante per la migrazione dati.
Il passaggio al cloud di AWS consente ai clienti di pagare esattamente la quantità di spazio di archiviazione di file di cui hanno bisogno ora, senza costi o vincoli iniziali e ridimensionare la capacità necessaria durante la crescita dei dati senza dover stimare in anticipo di quanto avranno bisogno. Sfruttando soluzioni di file completamente gestite come Amazon FSx per Windows File Server, FSx Backup, i clienti non devono più preoccuparsi del sovraccarico amministrativo di impostazione, protezione, manutenzione e backup della propria infrastruttura di file.
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In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.
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AWS re:Invent 2016: Getting Started with the Hybrid Cloud: Enterprise Backup ...Amazon Web Services
This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing Backup ad Recovery processes to achieve fast, simple wins that demonstrate the scale and flexibility of cloud services for storage. Services mentioned: S3, Glacier, Snowball, 3rd party partners, Storage Gateway, and cloud data migration services.
This document discusses designing applications for high availability on AWS. It provides best practices for designing systems to be fault tolerant and self-healing. The key principles discussed are: 1) design for failure by avoiding single points of failure, 2) use multiple availability zones for redundancy, 3) implement auto-scaling for flexibility and fault tolerance, 4) incorporate self-healing techniques like health checks and auto-scaling policies, and 5) loosely couple components. The document explores how various AWS services like EC2, EBS, RDS, ELB, auto-scaling, S3 and Route 53 can be leveraged together to build highly available, fault tolerant systems on AWS infrastructure.
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How CA ARCserve software together with CloudArray work seamlessly to protect virtualized and physical environments
This solution provides an economic and highly reliable storage tier for off-site data backup and replication without the logistics and cost of tape transport.
The presentation also provides a 3-year TCO summary on CloudArray vs. existing backup and replication solutions
This document discusses strategies for simplifying Microsoft architectures on AWS. It provides examples of using AWS services like VPC, Transit Gateway, Directory Services, and CloudFormation to extend or replace on-premises Active Directory and SQL Server environments. It also outlines approaches for migrating Windows workloads to AWS through application discovery, database migration, and server migration services.
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www.doubletake.com Data Protection Strategies for Virtualizationwebhostingguy
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AWS SSA Webinar 33 - Getting started with databases on AWS Amazon DynamoDBCobus Bernard
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Deploy a DoD Secure Cloud Computing Architecture Environment in AWSAmazon Web Services
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
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Paper Link: https://eprint.iacr.org/2024/257
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It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
24. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application - Video converter
25. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
Content Delivery Network (Cache)
26. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
ETL
27. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
SMS
Mobile push
Notification
SMS
Mobile push
Notification
28. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
SMS
Mobile push
Notification
Email
Email
29. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
SMS
Mobile push
Notification
Email
Message
Email
30. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
Monitoring
Dashboard
31. Facegram.com
VM
VM
disk
disk
DB
Private
network
Web Server
App Server
Relational DB
VM
VM
disk
disk
Load balancer
DNS
Facegram.com
NoSQL
DB
DB Cache
Media
Files
External
Storage
Content filter
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
Business
Intelligence
Web browser
External
Storage
Video
Convert
Mobile Application
Content Delivery Network (Cache)
ETL
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
32. Facegram.com
DNS
Load balancer
VM VM
VM VM
disk disk
disk disk
DB
DB Cache
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Virtual Private Cloud
33. Facegram.com
Load balancer
VM VM
VM VM
disk disk
disk disk
DB
DB Cache
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Route 53
Route 53
34. Facegram.com
VM VM
VM VM
disk disk
disk disk
DB
DB Cache
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Elastic load balancer
Load balancer
Route 53
35. Facegram.com
disk disk
disk disk
DB
DB Cache
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Elastic Compute Cloud
EC2 EC2
EC2
EC2
Route 53
Load balancer
36. Facegram.com
DB
DB Cache
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Elastic Block Storage
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
37. Facegram.com
DB
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Elastic cache
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
38. Facegram.com
NoSQL
DB
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Relational Database Service
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
RDS
Elastic cache
39. Facegram.com
Media
Files
Content filter
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Dynamo DB
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
40. Facegram.com
Media
Files
External
Storage
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
External
Storage
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
External
Storage
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Rekognition
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
41. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
Click Stream
Analysis
Spark/
Hadoop
Data warehouse
ETL
Business
Intelligence
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Simple Storage Service
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
42. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
ETL
Business
Intelligence
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Kinesis
Spark/
Hadoop
Data warehouse
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
43. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
ETL
Business
Intelligence
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Elastic MapReduce
Data warehouse
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
44. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
ETL
Business
Intelligence
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Redshift
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
45. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
Business
Intelligence
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Glue
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
46. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Quicksight
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Quicksight
47. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser
Video
Convert
Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Athena
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Athena
Quicksight
48. Facegram.com
Media
Files
Content Delivery Network (Cache)
Web browser Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- Lambda
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Athena
Quicksight
49. Facegram.com
Media
Files
Web browser Mobile Application
SMS
Mobile push
Notification
Email
Message
Monitoring
Dashboard
- CloudFront
- Edge location
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Cloud front
Edge location Edge location
Athena
Quicksight
50. Facegram.com
Media
Files
Web browser Mobile Application
Email
Message
Monitoring
Dashboard
- Simple Notification Service
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Cloud front
Edge location Edge location
SNS
Athena
Quicksight
51. Facegram.com
Media
Files
Web browser Mobile Application
Monitoring
Dashboard
- Simple Email Service
Message
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Cloud front
Edge location Edge location
SNS
SES
Athena
Quicksight
52. Facegram.com
Media
Files
Web browser Mobile Application
Monitoring
Dashboard
- Simple Queuing Service
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Cloud front
Edge location Edge location
SNS
SES
SQS
Athena
Quicksight
53. Facegram.com
Media
Files
Web browser Mobile Application
- Cloud Watch
EBS EBS
EBS
EBS
Route 53
Load balancer
EC2 EC2
EC2
EC2
Elastic cache
RDS
Dynamo DB
Rekognition
S3
S3
S3
Kinesis
EMR
Redshift
Glue
Lambda
Cloud front
Edge location Edge location
SNS
SES
SQS
Cloud watch
Athena
Quicksight
54.
55. Athena
Quicksight
Facegram.com
Media
Files
Web browser Mobile Application
Route 53
Load balancer
EC2
EBS
Elastic cache
RDS
Dynamo DB
Glue
EMR
Kinesis
S3
Redshift
Lambda
Cloud front
Edge location
SNS
SES
SQS
Cloud watch
Rekognition
EC2
EC2
EC2
EBS
EBS
EBS
S3
S3
Edge location
Rest API
Web and Mobile User Management
- API Gateway
- Cognito
56. Athena
Quicksight
Facegram.com
Media
Files
Web browser Mobile Application
Route 53
Load balancer
EC2
EBS
Elastic cache
RDS
Dynamo DB
Glue
EMR
Kinesis
S3
Redshift
Lambda
Cloud front
Edge location
SNS
SES
SQS
Cloud watch
Rekognition
EC2
EC2
EC2
EBS
EBS
EBS
S3
S3
Edge location
- IAM
- KMS
- ACM
- WAF
- Inspector
AWS SECURITY SERVICES
57. Ways to deploy AWS infrastructure – Part 1
API
REFERENCE
$ aws configure
AWS Access Key ID:
AWS Secret Access Key:
Default region name:
Default output format:
$ aws ec2 run-instances –
image-id <ami> --count 1 –
instance-type t2.micro –key-
name <Key pair> --security-
group-ids <sg ids> --subnet-
id <subnetid>
POST
{
resourceProperty1: value1,
resourceProperty2: value2,
resourceProperty3: value3,
resourceProperty4: value4
}
PAYLOAD
URL - xxx:yyy/ec2 Direct Function
58. Ways to deploy AWS infrastructure – Part 2
Application
AWS CDK
CDK Lib
Deploy Stack
Lambda SNS