Other AWS Services

 Other AWS Services

Amazon WorkSpaces

  • Managed Desktop as a Service (DaaS) solution to easily provision Windows or Linux desktops
  • Great to eliminate management of on-premise VDI (Virtual Desktop Infrastructure)
  • Fast and quickly scalable to thousands of users
  • Secured data - integrates with KMS
  • Pay-as-you-go service with monthly or hourly rates
  • To reduce latency do create workspaces near to your office with respect to region.

Amazon AppStream 2.0

  • Desktop Application Streaming Service
  • Deliver to any computer, without acquiring, provisioning infrastructure
  • The application is delivered from within a web browser

Amazon AppStream 2.0 vs Workspaces

  • Workspaces
    • Fully managed VDI and desktop available
    • The users connect to the VDI and open native or WAM applications
    • Workspaces are on-demand or always on
  • AppStream 2.0
    • Stream a desktop application to web browsers (no need to connect to VDI)
    • Works with any device (that has a web browser)
    • Allow to configure an instance type per application type (CPU, RAM, GPU)

AWS IoT Core

  • IoT stands for "Internet of Things" - the network of internet-connected devices that are able to collect and transfer data
  • AWS IoT Core allows you to easily connect IoT devices to the AWS Cloud
  • Serverless, secure & scalable to billions of devices and trillions of messages
  • Your applications can communicate with your devices even when they aren't connected
  • Integrates with a lot of AWS services (Lambda, S3, SageMaker, etc.)
  • Build IoT applications that gather, process, analyze, and act on data

AWS AppSync

  • Store and Sync data across mobile and web apps in real-time
  • Makes use of GraphQL (mobile technology from Facebook)
  • Client Code can be generated automatically
  • Integrations with DynamoDB/Lambda
  • Real-time subscriptions
  • Offline data synchronization (replaces Cognito Sync)
  • Fine Grained Security
  • AWS Amplify can leverage AWS AppSync in the background!


AWS Amplify:

  • A set of tools and services that helps you develop and deploy scalable full stack web and mobile applications
  • Authentication, Storage, API(REST, GraphQL), CI/CD, PubSub, Analytics, AI/ML Predictions, Monitoring, Source Code from AWS, GitHub, etc....


AWS Infrastructure Composer

  • Visually design and build serverless applications quickly on AWS
  • Deploy AWS infrastructure code without needing to be an expert in AWS
  • Configure how your resources interact with each other
  • Generates Infrastructure as Code (IaC) using CloudFormation
  • Ability to import exisiting CloudFormation/SAM templates to visualize them

AWS Device Farm

  • Fully-managed service that tests your web and mobile apps against desktop browsers, real mobile devices, and tablets
  • Run tests concurrently on multiple devices (speed up execution)
  • Ability to configure device settings (GPS, language, Wi-Fi, Bluetooth,...)

AWS Backup
  • Fully-managed service to centrally manage and automate backups across AWS services
  • On-demand and scheduled backups
  • Supports PITR (Point-in-time Recovery)
  • Retention Periods, Lifecycle Management, Backup Policies,.....
  • Cross-Region Backup
  • Cross-Account Backup (using AWS Organizations)

Disaster Recovery Strategies



Typical DR setup for Cloud Deployments


AWS Elastic Disaster Recovery (DRS)

  • Used to be named "CloudEndure Disaster Recovery"
  • Quickly and easily recover your physical, virtual, and cloud-based servers in AWS
  • Example: protect your most critical databases (including Oracle, MySQL, ans SQL Server), enterprise apps (SAP), protect your data from ransomware attacks...
  • Continuous block-level replication for your servers.

AWS DataSync

  • Move large amount of data from on-premises to AWS
  • Can synchronize to: Amazon S3 (any storage classes - including Glacier), Amazon EFS, Amazon FSx for Windows
  • Replication tasks can be scheduled hourly, daily, weekly
  • The replication tasks are incremental after the first full load

Cloud Migration Strategies: The 7Rs

  • Retire
    • Turn off things you don't need (maybe as a result of Re-architecting)
    • Helps with reducing the surface areas for attacks (more security)
    • Save cost, maybe up to 10% to 20%
    • Focus your attention on resources that must be maintained
  • Retain
    • Do nothing for now (it's still a decision to make in a Cloud Migration)
    • Security, data compliance, performance, unresolved dependencies
    • No business value to migrate, mainframe or mid-range and non-x86 Unix apps
  • Relocate
    • Move apps from on-premises to its Cloud version
    • Move EC2 instances to a different VPC, AWS accout or AWS Region
    • Example: transfer servers from VMware Software-defined Data Center (SSDC) to VMware Cloud on AWS
  • Rehost "lift and shift"
    • Simple migrations by re-hosting on AWS (applications, databases, data...)
    • Migrate machines (physical, virtual, another Cloud) to AWS Cloud
    • No Cloud optimizations being done, applications is migrated as is
    • Could save as much as 30% on cost
    • Example: Migrate using AWS Application Migration Service
  • Replatform "lift and reshape"
    • Example: migrate your database to RDS
    • Example: migrate your application to Elastic Beanstalk
    • Not changing the core architecture, but leverage some Cloud optimizations
    • Save time and money by moving to a fully managed service or Serverless
  • Repurchase "drop and shop"
    • Moving to a different product while moving to the Cloud
    • Often you move to a SaaS platform
    • Expensive in the short term, but quick to deploy
    • Example: CRM to Salesforce.com, HR to Workday, CMS to Drupal
  • Refactor/Re-architect
    • Reimagining how the application is architected using Cloud Native features
    • Driven by the need of the business to add features and improve scalability, performance, security and agility
    • Move from a monolithic application to micro-services
    • Example: move an application to Serverless architectures, use AWS S3

AWS Application Discovery Service

  • Plan migration projects by gathering information about on-premises data centers
  • Server utilization data and dependency mapping are important for migrations
  • Agentless Discovery (AWS Agentless Discovery Connector)
    • VM inventory, configuration and performance history suck as CPU, memory and disk usage
  • Agent-based Discovery (AWS Application Discovery Agent)
    • System configuration, system performance, running processes and details of the network connections between systems
  • Resulting data can be viewed within AWS Migration Hub

AWS Application Migration Service (MGN)

  • The "AWS evolution" of CloudEndure Migration, replacing AWS Server Migration Service (SMS)
  • Lift-and-shift (rehost) solution which simplify migrating applications to AWS
  • Converts your physical, virtual and cloud-based servers to run natively on AWS
  • Supports wide range of platforms, Operating Systems, and databases
  • Minimal downtime, reduced costs

AWS Migration Evaluator

  • Helps you build a data-driven business case for migration to AWS
  • Provides a clear baseline of what your organization is running today
  • Install Agentless Collector to conduct broad-based discovery
  • Take a snapshot of on-premises foot-print, server dependencies....
  • Analyze current state, define target state, then develop migration plan

AWS Migration Hub

  • Central location to collect servers and applications inventory data for the assessment, planning and tracking of migrations to AWS
  • Helps accelerate your migration to AWS, automate lift-and-shift
  • AWS Migration Hub Orchestrator - provides pre-built templates to save time and effort migrating enterprise apps (e.g. SAP, Microsoft SQL Server...)
  • Supports migrations status updates from Application Migration Service (MGN) and Database Migration Service (DMS)

AWS Fault Injection Simulator (FIS)

  • A fully managed service for running fault injection experiments on AWS workloads
  • Based on Chaos Engineering - stressing an application by creating disruptive events (e.g., sudden increse in CPU or memory), observing how the system responds and implementing improvements
  • Helps you uncover hidden bugs and performance bottlenecks
  • Supports the following AWS services: EC2, ECS, EKS, RDS....
  • Use pre-built templates that generate the desired disruptions

AWS Step Functions

  • Build serverless visual workflow to orchestrate your Lambda functions
  • Features: sequence, parallel, conditions, timeouts, error handling...
  • Can integrate with EC2, ECS, On-premises servers, API Gateway, SQS queues, etc...
  • Possiblity of implementing human approval feature
  • Use cases: order fulfillment, data processing, web applications, any workflow


AWS Ground Station

  • Fully manged service that lets you control satellite communicatons, process data and scale your satellite operations
  • Provides a global network of satellite ground stations near AWS regions
  • Allows you to download satellite data to your AWS VPC within seconds
  • Send satellite data to S3 or EC2 instance
  • Use cases: Weather forecasting, surface imaging, communicatons, video broadcasts

AWS Pinpoint

  • Scalable 2-way (outbound/inbound) marketing communications service
  • Supports email, SMS, push, voice and in-app messaging
  • Ability to segment and personalize messages with the right content to customers
  • Possibility to receive replies
  • Scales to billions of messages per day
  • Use cases: run campaigns by sending marketing, bulk, transactional SMS messages
  • Versus Amazon SNS or Amazon SES
    • In SNS & SES you managed each messages audience, content and delivery schedule
    • In Amazon Pinpoint, you create message templates, delivery schedules, highly-targeted segments, and full campaigns



Comments

Post a Comment

Popular posts from this blog

Machine Learning

Image
 Machine Learning Amazon Rekognition Find objects, people, text, scenes in images and videos using ML Facial analysis and facial search to do user verification, people counting Create a database of "familiar faces" or compare against celebrities Use cases: Labeling Content Moderation Text Detection Face Detection and Analysis (gender, age ranges, emotions...) Face Search and Verification Celebrity Recognition Pathing (ex: for sports game analysis) Amazon Transcribe Automatically convert speech to text Uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately Automatically remove Personally Identifiable Information (PII) using Redaction Supports Automatic Language Identification for multi-lingual audio Use cases: transcribe customer service calls automate closed captioning and subtitling generate metadata for medis assets to create a fully searchable archive Amazon Polly Turn text into lifelike speech using deep lea...
Read more

Cloud Computing and IT

Image
Cloud Computing and IT How Website work?   Server composed of: Compute, memory, storage(file or database), network - Routers, switch, DNS server. IT terminology: Network: cables, routers and servers connected with each other. Router: A networking device that forwards data packets between computer networks. They know where to send your packets on the internet. Switch: takes a packet and send it to the correct server/client on your network. Problems: Pay rent for datacenter Pay for power, cooling and maintenance Adding and replacing hardware takes time Scaling is limited Hire 24/7 team to monitor the infrastructure Plan for taking care of disasters. eg: Earth-Quake, Power-Supply issue etc... Demand: How to externalize all above task? Solution: Cloud Cloud Computing: (on-demand/pay-as-you-go/) Cloud computing is the on-demand delivery of compute power, database storage, applications and other IT resources. Cloud services are pay-as-you-go pricing. Provision exactly the right type and ...
Read more

Cloud Monitoring

Image
 Cloud Monitoring Amazon CloudWatch Metrics CloudWatch provides metrics for every services in AWS Metric is a variable to monitor ( CPUUtilization, Networking...) Metrics have timestamps Can create CloudWatch dashboards of metrics Important Metrics EC2 instances: CPU Utilization, Status Checks, Network (not RAM) Default metrics every 5 minutes Option for Detailed Monitoring ($$$): metrics every 1 minute EBS volumes: Disk Read/Writes S3 buckets: BucketSizeBytes, NumberOfObjects, AllRequests Billing: Total Estimated Charge (only in us-east-1) Service Limits: how many you've been using a service API Custom mertics: push your own metrics Amazon CloudWatch Alarms Alarms are used to trigger notifications for any metric Alarms actions Auto Scaling: increase or decrease EC2 instances "desired" count EC2 Actions: stop, terminate, reboot or recover an EC2 instance SNS notifications: send a notification into an SNS topic Various options (sampling, %, max, min, etc...) Can choose the...
Read more