Datadog Features

Question 1

Containers + Kubernetes

Answer 1

Real time view of health of containerized environments

Question 2

IoT

Answer 2

agent that monitors physical device connected to the internet

Question 3

Distributed tracing

Answer 3

Execution path of a request

Question 4

Continuous profiler

Answer 4

observe application process and measure code performance

Question 5

Deployment tracking

Answer 5

breakdown requests tied to the continuous profiler

Question 6

Serverless monitoring

Answer 6

metrics, traces, logs monitoring of a cloud model in which the cloud provider takes care of all the server-related infrastructure and maintenance

Question 7

Agent

Answer 7

Brings data from server into DD
Installed at the OS
Collects system-level metrics (RAM, storage, CPU)

Question 8

APM focuses on

Answer 8

Monitor performance metrics of applications
Metrics:
- Requests (load)
- Error
- Duration/Latency

Question 9

ETE Tracing

Answer 9

End to end

connect traces to infrastructure metrics

Question 10

Tracing w/o limits

Answer 10

ingest, search, analyze 100% of traces
Complete traces: 
- priority to errors
- high latency
- low volume end points

Question 11

Traces

Answer 11

the WHY
record of request on a application
show how long each step took to execute

Question 12

Logs

Answer 12

the WHAT

record/trail of something that happened in the stack

Question 13

SIEM

Answer 13

point out vulnerabilities in your code

Question 14

Synthetic monitoring

Answer 14

Proactive
simulate different types of traffic
focuses on availability, application load/response times

Question 15

CI/CD pipeline

Answer 15

catch issues before code makes it to staging and production

Question 16

NPM

Answer 16

live network traffic between cloud & containerized environments
identify root cause of application if the network is at fault

Question 17

NDM

Answer 17

live hardware network traffic between devices like routers, firewalls, switches

Question 18

Auto-detection of cloud endpoints

Answer 18

Assesses which client-side applications are affected by they degradation of storage the depend on in the cloud

Question 19

App-layer insight

Answer 19

health traffic of two endpoints

network metrics: TCP, latency, connection churn

Question 20

DNS

Answer 20

domain name server

over view of server performance

Question 21

RUM

Answer 21

REACTIVE
focuses on end-user performance including:
- appearance
- load-times
- error

Question 22

Mobile RUM

Answer 22

measure end user experience on web applications

* Runs on EDGE

Question 23

Events

Answer 23

text record for bigger, less frequent moments

Question 24

Log parsing

Answer 24

refining and cleaning raw data into a standardized format

Question 25

Log indexing

Answer 25

storing clean logs

Question 26

Tags

Answer 26

each host & container has the same tag

Question 27

Attributes & facets

Answer 27

provide additional log related details IE: timestamp

Question 28

Roll

Answer 28

downgrading older data to a lower granularity

Question 29

Monitor alert

Answer 29

condition based alerts

Question 30

Metric alert

Answer 30

when a threshold is met OR when a metric value changes over a specified period of time

Question 31

Anomaly alert

Answer 31

when there is a irregularity compared to historical patterns

Question 32

Outlier alert

Answer 32

when a user is behaving differently that that of the group

Question 33

Forecast alert

Answer 33

when a metric is projected to cross a threshold in the future

Question 34

Composite alert

Answer 34

grouping multiple monitored alerts into 1 main alert

Question 35

Watchdog

Answer 35

automated detection monitoring

Question 36

Postmortem notebooks

Answer 36

summary of MTTD & MTTR data

Question 37

SLO

Answer 37

service level object focused on end-user reliability and performance goals of a service over a specific period of time

Question 38

SLI

Answer 38

service level indicator focused on end-user metrics about the service

Question 39

Error budgets

Answer 39

measure how much unreliability is allowed before an SLO or SLA is violated

Question 40

Burn rate

Answer 40

measure how fast an error budget is being consumed

Question 41

Infrastructure list

Answer 41

overview of all hosts monitored by DD

Question 42

Host map

Answer 42

visualize hosts

Question 43

Infrastructure monitoring focuses

Answer 43

``` health and performance of back-end Metrics: - CPU - Memory - Storage ```

Question 44

Incident monitoring focuses

Answer 44

Get ahead of situation before it happens Quickly identify issue, what it's impacting Quickly understand how to resolve and prevent in the future (all can be automated)

Question 45

Metrics

Answer 45

numerical values | time-series data

Question 46

Distributed metrics

Answer 46

percentile aggregations across all of customer's hosts

Question 47

DogStatsD

Answer 47

DD tool to easily collect custom metrics

Question 48

Security monitoring

Answer 48

security of infrastructure

Question 49

Line graph

Answer 49

time-series data

Question 50

Stacked areas graph

Answer 50

summarizes multiple data points into 1 data point

Question 51

Bar graph

Answer 51

count of a certain metric

Question 52

Heat map

Answer 52

evolution of a metric overtime

Question 53

Infrastructure Monitoring includes

Answer 53

- hosts/clouds/vm - containers - processes - serverless - IoT

Question 54

What are the market expectations of an APM product?

Answer 54

- distributed tracing - exception tracking - auto-instrumentation - code profiling - RUM - synthetics

Question 55

Which pillar? | If something goes wrong, WHAT exactly happened?

Answer 55

Logs

Question 56

Which pillar? | WHY is the code doing that? Is that what the code is supposed to?

Answer 56

Traces

Question 57

Which pillar? | Are the infrastructure and applications doing what they're supposed to?

Answer 57

Metrics