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1
Q

Amazon EC2 Stands for

A

[Elastic Compute Cloud]

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2
Q

Amazon EC2 has….

A

“virtual servers to manage any kind of workload”
“supports adapting to the workloads precisely”
“highly secure, reliable, performing computing infrastructure meeting business demands. “
“And, it helps you to access resources quickly and dynamically scale capacities as per demands.

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3
Q

EC2 Types

A

General Purpose Instances
Compute Optimized Instances
Memory-Optimized Instances
Accelerated Computing Instances
Storage Optimized Instances

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4
Q

EC2: General Purpose Instances

A

“good choice if you are new to cloud computing or AWS in general. “

“General-purpose instances are mostly utilized in services related to web servers, mobile or gaming development environments or apps, or enterprise-level applications like ERP or CRM. “

“fixed EC2 and Burstable EC2”

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5
Q

Fixed EC2 Instance

A
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6
Q

Burstable EC2 Instance

A

can spin up extra volume to meet spikes in demand

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7
Q

A1 EC2 Instance

A

more suited for web servers and containerized microservices – along with applications that are run on open source tools like Java or Python.

the ARM- based offering

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8
Q

M5 EC2 Instance

A

powered by the Intel Xeon Platinum 8175 3.1Ghz processor

M5 instances provide a balance of computing, memory, and networking power.

This instance type is suited for small-to-midsize databases, data processing tasks, and as a backend server for enterprise applications like SAP or SharePoint.

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9
Q

T3/T3a EC2 Instance

A

Burstable

powered with Intel and AMD processors

These instance types are a good fit if you are looking for a cheaper and less powerful option than the M5 fixed instance.

They are commonly used for long-lasting application instances such as websites, web applications, and code repositories.

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10
Q

ARM Based offering

A
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11
Q

INtel or AMD Processing

A
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12
Q

Which EC2 instance type is burstable?

A

T3/T3a EC2 Instance

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13
Q

EC2 Instance types: Compute Optimized Instances

A

used during compute-intensive workloads that can benefit from processors with high computing power.

Compute-optimized instances deliver high performance at a cost-effective price

typically used in applications like web servers and scientific modeling.

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14
Q

Compute Optimized Instance Types

A
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15
Q

Amazon Cloudwatch

A

monitors the cloud resources and applications

near real-time

optimize monitoring applications,
systemwide performance changes,
resource utilization.

–detect anomalies in the behaviour of the cloud environment
–set alarms (based on thresholds, trigger other actions)
–visualize logs and metrics
–make automated actions
–troubleshoot issues
–discover insights.

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16
Q

Service for monitoring cloud resources and applications

A
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17
Q

Setting thresholds

A
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18
Q

Dynamic capacity changes

A
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19
Q

Use cases for monitoring, name 5

A

Operational health
App Performance
Resource utilization
Security auditing
cost

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20
Q

Monitoring Metrcis, service

A

Cloudwatch

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21
Q

AWS cloud and on-prem metrics, AWS Service

A

Cloudwatch

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22
Q

Cloudwatch logs

A

Amazon Cloudwatch Logs (apps, data. store, access)
Cloudtrail (APIs and User activity)
VPC Flow logs (IP traffic metrics)

23
Q

Limitati0ons to CloudWatch

A

Cannot find root cause system

24
Q

AWS CloudTrail

A

ON S3, helps understand events in Cloudwatch

25
Q

CloudWatch fees

A

pay for what you use

26
Q

CloudWatch Features

A

CloudWatch Logs. This service enables users to collect and store logs for vended services for customers, logs for specific AWS services such as AWS CloudTrail, AWS Lambda, Amazon API Gateway, Amazon Simple Notification Service, or for proprietary applications and on-premises resources. CloudWatch Logs Insights can provide quick queries and visualization of log data.

Metrics collection. Users can collect default metrics from more than 70 distributed AWS applications and view them in one place. They also can collect metrics and customize logs from their own applications or on-premises resources.

Container Insights. This feature collects, aggregates and monitors metrics and logs for containerized applications and microservices. It can also troubleshoot Amazon Elastic Kubernetes Service and Amazon Container Orchestration Service.

CloudWatch Lambda Insights. This service collects, aggregates and monitors AWS Lambda logs and performance metrics from each container, including CPU, memory and disk information.

Contributor Insights. This feature provides a view of the top contributors influencing system performance, such as API calls, applications or customer accounts.

Unified view. This feature enables users to create dashboard views for selected applications, graphs and other visualized cloud data.

Composite alarms. This function unifies alarms for different issues affected by the same application into a single notification. This can help root-cause diagnosis.

High resolution alarms. Users can set thresholds for specific metrics that trigger alarm actions, such as shutting down unused instances.

Correlation. CloudWatch can correlate specific patterns in logs with metrics to diagnose a root cause.

Application Insights for .NET and SQL Server. This feature provides easy monitoring for .NET and SQL Server applications, with automated dashboards and smart metrics.

Anomaly Detection. Machine learning algorithms can detect abnormal activity in AWS systems.

ServiceLens. This service monitors the performance, health and availability of applications and dependencies to reduce bottlenecks, recognize affected users and diagnose root causes.

Synthetics. This facility monitors application endpoints and alerts the user to errors and abnormal infrastructure issues.

Metric Streams. This feature enables users to create near real-time metric streams to other applications, such as Amazon S3, or share them with third-party service providers.

Auto Scaling. This feature automates capacity and resource planning.

CloudWatch Events. This service provides a near real-time stream of system events and automates responses to operational changes.

Log analytics. Advanced analytics are available for the information in CloudWatch Logs, without provisioning additional servers or the need for extra software. Queries can be exported to dashboards.

Integration with AWS Identity and Access Management. This facility provides a management console to control which users and applications have access to CloudWatch data and resources.

27
Q

CloudWatch Features: CloudWatch Logs.

A

CloudWatch Logs. This service enables users to collect and store logs for vended services for customers, logs for specific AWS services such as AWS CloudTrail, AWS Lambda, Amazon API Gateway, Amazon Simple Notification Service, or for proprietary applications and on-premises resources. CloudWatch Logs Insights can provide quick queries and visualization of log data.

28
Q

CloudWatch Features: Metrics collection

A

Metrics collection. Users can collect default metrics from more than 70 distributed AWS applications and view them in one place. They also can collect metrics and customize logs from their own applications or on-premises resources.

29
Q

CloudWatch Features: Container Insights

A

Container Insights. This feature collects, aggregates and monitors metrics and logs for containerized applications and microservices. It can also troubleshoot Amazon Elastic Kubernetes Service and Amazon Container Orchestration Service.

30
Q

CloudWatch Features: CloudWatch Lambda Insights

A

CloudWatch Lambda Insights. This service collects, aggregates and monitors AWS Lambda logs and performance metrics from each container, including CPU, memory and disk information.

31
Q

CloudWatch Features:Contributor Insights

A

Contributor Insights. This feature provides a view of the top contributors influencing system performance, such as API calls, applications or customer accounts.

32
Q

CloudWatch Features: Unified view.

A

Unified view. This feature enables users to create dashboard views for selected applications, graphs and other visualized cloud data.

33
Q

CloudWatch Features:Composite alarms

A

Composite alarms. This function unifies alarms for different issues affected by the same application into a single notification. This can help root-cause diagnosis.

34
Q

CloudWatch Features:High resolution alarms.

A

High resolution alarms. Users can set thresholds for specific metrics that trigger alarm actions, such as shutting down unused instances.

35
Q

CloudWatch Features:

A

Correlation. CloudWatch can correlate specific patterns in logs with metrics to diagnose a root cause.

36
Q

CloudWatch Features:

A

Application Insights for .NET and SQL Server. This feature provides easy monitoring for .NET and SQL Server applications, with automated dashboards and smart metrics.

37
Q

CloudWatch Features:

A

Anomaly Detection. Machine learning algorithms can detect abnormal activity in AWS systems.

38
Q

CloudWatch Features:

39
Q

CloudWatch Features:

40
Q

CloudWatch Features:

41
Q

CloudWatch Features:

42
Q

CloudWatch Features:

43
Q

CloudWatch Features:

44
Q

CloudWatch Features:

45
Q

Cloud watch Event Bridge

A

Triggers an event when an alarm is activated

tracks the order of events in Event Bridge logs

46
Q

Load Balancing - Elastic Load Balancer

A

can terminate an instance and create another one

47
Q

OSI Model

A

App (App LB, distributes traffic based on the URL/URI)
- Transport (network LB, distributes based off of TCP and UDP protocols, IP)
- Network (gateway LB, helps with virtual appliances, eg router)
- Physical

48
Q

Application Load Balancer

A

App (App LB, distributes traffic based on the URL/URI)

49
Q

Network Load Balancer

A

Transport (network LB, distributes based off of TCP and UDP protocols, IP address routing)

50
Q

Gateway Load Balancer

A

Network (gateway LB, helps with virtual appliances, eg router)

51
Q

Autoscaling

A

Launch template
Scaling group
Scaling policy

52
Q

Triggering EC2 Autoscaling

A

Base on health checks
pod watch alarms
schedules

53
Q
A

Scheduled
Predictive
Dynamic

54
Q

Paying for EC2

A

Ondemand
Savings
Spot

AWS SAA Services (1 decks)

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