Deployment Automation, Arch for the Cloud Flashcards

1
Q

AWS Elastic Beanstalk

A
  • Managed service for web applications on Amazon EC2
    instances and Docker containers
  • Deploys an environment that can include Auto Scaling,
    Elastic Load Balancing and databases
  • Considered a Platform as a Service (PaaS) solution
  • Allows full control of the underlying resources
  • Code is deployed using a ZIP file, WAR file or Git repository
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2
Q

AWS Cloud Development Kit (CDK)

A
  • Open-source software development framework to define
    your cloud application resources using familiar programming
    languages
  • Preconfigures cloud resources with proven defaults using
    constructs
  • Provisions your resources using AWS CloudFormation
  • Enables you to model application infrastructure using
    TypeScript, Python, Java, and .NET
  • Use existing IDE, testing tools, and workflow patterns
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3
Q

AWS CloudFormation

A
  • Infrastructure is provisioned consistently, with fewer
    mistakes (human error)
  • Less time and effort than configuring resources manually
  • Free to use (you’re only charged for the resources
    provisioned)
  • A template is a YAML or JSON template used to describe the
    end-state of the infrastructure you are either provisioning or
    changing
  • CloudFormation creates a Stack based on the template
  • Can easily rollback and delete the entire stack as well
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4
Q

Amazon CloudFront

A
  • CloudFront is a content delivery network (CDN) that allows
    you to store (cache) your content at “edge locations” located
    around the world
  • This allows customers to access content more quickly and
    provides security against DDoS attacks
  • CloudFront can be used for data, videos, applications, and
    APIs
  • CloudFront reduces latency for global users
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5
Q

AWS Global Accelerator

A
  • Routes connections to application endpoints (EC2/ELB) in
    multiple Regions
  • Improves the availability and performance of applications
    with local or global users
  • Uses the AWS global network to optimize the path from
    users to applications, improving the performance of TCP and
    UDP traffic
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6
Q

AWS Global Accelerator vs CloudFront

A
  • Both use the AWS global network and edge locations
  • CloudFront improves performance for cacheable content and
    dynamic content
  • GA improves performance for a wide range of applications
    over TCP and UDP
  • GA proxies connections to applications in one or more AWS Regions
  • GA provides failover between AWS Regions
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7
Q

AWS X-Ray

A
  • AWS X-Ray helps developers analyze and debug production,
    distributed applications, such as those built using a microservices architecture AWS OpsWorks
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8
Q

AWS OpsWorks

A
  • AWS OpsWorks is a configuration management service that
    provides managed instances of Chef and Puppet
  • Updates include patching, updating, backup, configuration
    and compliance management
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9
Q

AWS Well-Architected Framework

A

Helps you understand the pros and cons of
decisions you make while building systems on AWS

Based on 6 pillars: Operational Excellence, Security, Reliability, Performance, Sustainability

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10
Q

Operational Excellence Pillar

A
  • Support development and run workloads
    effectively
  • Gain insight into workload operations
  • Continuously improve processes and procedures to
    deliver business value
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11
Q

Best practices for operational excellence pillar?

A
  • Perform operations as code
  • Make frequent, small, reversible changes
  • Refine operations procedures frequently
  • Anticipate failure
  • Learn from all operational failures
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12
Q

Security Pillar and best practices

A
  • Protect data, systems, and assets to take advantage
    of cloud technologies to improve your security
  • Best practices for security:
  • Implement a strong identity foundation
  • Enable traceability
  • Apply security at all layers
  • Automate security best practices
  • Protect data in transit and at rest
  • Keep people away from data
  • Prepare for security events
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13
Q

Reliability Pillar

A
  • Ensuring a workload can perform its intended function
    correctly and consistently when it’s expected to
  • This includes the ability to operate and test the
    workload through its total lifecycle
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14
Q

Best practices for reliability pillar?

A
  • Automatically recover from failure
  • Test recovery procedures
  • Scale horizontally to increase aggregate workload
    availability
  • Stop guessing capacity
  • Manage change in automation
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15
Q

Performance Efficiency Pillar

A
  • The ability to use computing resources efficiently to
    meet system requirements, and to maintain that
    efficiency as demand changes and technologies
    evolve
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16
Q

Best practices for Performance Efficiency Pillar?

A
  • Best practices for performance efficiency:
  • Democratize advanced technologies
  • Go global in minutes
  • Use serverless architectures
  • Experiment more often
  • Consider mechanical sympathy
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17
Q

Cost Optimization Pillar and best practices?

A
  • The ability to run systems to deliver business value
    at the lowest price point
  • Best practices for cost optimization:
  • Implement Cloud Financial Management
  • Adopt a consumption model
  • Measure overall efficiency
  • Stop spending money on undifferentiated heavy
    lifting
  • Analyze and attribute expenditure
18
Q

Pay-as-you-go

A
  • Easily adapt to changing business needs
  • Improved responsiveness to change
  • Adapt based on needs, not forecasts
  • Reduce risk over overpositioning of missing capacity
19
Q

How do you Save when you reserve

A
  • Invest in reserved capacity (e.g. RDS and EC2)
  • Save up to 75% compared to on-demand (pay-as-you-go)
  • The more you pay upfront the greater the discount
20
Q

How do you Pay less by using more

A
  • Pay less using volume-based discounts
  • Tiered pricing means the more you use the lower the unit
    pricing
21
Q

Types of Billing

A

On demand
Reserved
Spot
Dedicated Instance
Dedicated Host
Savings Plan

22
Q

On-Demand Billing

A

Standard rate - no discount; no commitments; dev/test, short-term, or unpredictable workloads

23
Q

Reserved Billing

A

1 or 3-year commitment;
up to 75% discount; steady-state,
predictable workloads and reserved capacity

24
Q

Spot Instances

A

Bid for unused capacity; up to 90% discount;
can be terminated at any time; workloads
with flexible start and end times

25
Q

Dedicated Instances

A

Physical isolation at the host hardware level
from instances belonging to other
customers; pay per instance

26
Q

Dedicated Hosts

A

Physical server dedicated for your use;
Socket/core visibility, host affinity; pay per
host; workloads with server-bound software
licenses

27
Q

Savings Plans

A

Commitment to a consistent amount of
usage (EC2 + Fargate + Lambda); Pay by
$/hour; 1 or 3-year commitment

28
Q

Amazon S3 Pricing

A
  • Storage class – e.g. Standard or IA
  • Storage quantity – data volume stored in your buckets on a
    per GB basis
  • Number of requests – the number and type of requests
    Lifecycle transitions requests – moving data between storage
    classes
  • Data transfer – data transferred out of an S3 region is
    charged
29
Q

Options to access to S3 archives - access times, retrieval and retrieval requests

A

Expedited Standard Bulk
Data access time 1-5 minutes, 3-5 hours, 5-12 hours
Data retrievals $0.03 per GB, $0.01 per GB, $0.0025 per GB
Retrieval requests On-Demand: $0.01 per request Provisioned: $100 per Provisioned Capacity Unit (expedited), $0.050 per 1,000
requests (standard)
$0.025 per 1,000 requests (bulk)

30
Q

Amazon EBS Pricing

A
  • Volumes – volume storage for all EBS volumes type is
    charged by the amount of GB provisioned per month
  • Snapshots – based on the amount of space consumed by
    snapshots in S3
31
Q

Amazon RDS Pricing

A
  • Clock hours of server uptime – amount of time the DB
    instance is running
  • Database characteristics – e.g. database engine, size and
    memory class
  • Database purchase type – e.g. On-Demand, Reserved
32
Q

Amazon DynamoDB charges?

A

Charged for reading, writing, and storing data

Two modes impact charging:
On-demand capacity mode
Provisioned capacity mode

33
Q

Amazon DynamoDB On-demand capacity mode

A

Charged for reading, writing, and storing data
On-demand capacity mode
Charged for reads and writes
No need to specify how much capacity is required
Good for unpredictable workloads

34
Q

Amazon DynamoDB Provisioned capacity mode

A
  • Specify number of reads and writes per second
  • Can use Auto Scaling
  • Good for predictable workloads
  • Consistent traffic or gradual changes
35
Q

AWS Lambda pricing

A
  • Number of requests
  • Duration of request – rounded up to the nearest millisecond
  • Price is dependent on the amount of memory allocated to
    the function
36
Q

AWS Organizations
* Consolidated billing has the following benefits:

A
  • One bill – You get one bill for multiple accounts
  • Easy tracking – You can track the charges across multiple
    accounts and download the combined cost and usage data
  • Combined usage – You can combine the usage across all
    accounts in the organization to share the volume pricing
    discounts and Reserved Instance discounts
  • No extra fee – Consolidated billing is offered at no additional
    cost
37
Q

AWS Budgets

A
  • Set Custom Budgets - set custom usage and reservation
    budgets
  • Configure Alerts – receive alerts when you exceed or are
    forecast to exceed your alert thresholds
  • Integrated with other AWS services – Includes Cost Explorer
    Chatbot, and Service Catalog
38
Q

AWS Cost Explorer

A
  • Free tool that allows you to view charts of your costs
  • Cost Explorer can be used to discover patterns in how much
    you spend on AWS resources over time and to identify cost
    problem areas
39
Q

AWS Cost & Usage Report

A
  • Publish AWS billing reports to an Amazon S3 bucket
  • Reports break down costs by:
  • Hour, day, month, product, product resource, tags
40
Q

AWS Price List API

A
  • Query the prices of AWS services
  • Price List Service API
  • AWS Price List API
41
Q

Sustainability Well Arch Pillar

A

The ability to increase efficiency across all components of a workload by maximizing the benefits from the provisioned resources.