Glossary

A

ACM

ACM is the abbreviation for the AWS Certificate Manager, which creates, stores, and renews public and private SSL/TLS X.509 certificates and keys that protect AWS websites and applications. See AWS documentation What is AWS Certificate Manager?.

agent

An entity that collects logs or other metrics and sends them to the Kloudfuse Platform.

aggregation

Aggregation simplifies a large dataset into key values such as average, sum, or count. It summarizes data to reduce processing and storage costs.

alert

An alert signals a change in system health that may indicate a problem. It generates a notification so operators can investigate and take corrective action.

anomaly detection

Anomaly detection finds unexpected patterns in telemetry data. It highlights issues that need investigation.

apdex

The Application Performance Index, a single metric that represents service quality on a scale of 0 to 1. Higher values indicate better performance, while lower values report low quality. APDEX combines the metrics of RED into a single measurement.

APM

An acronym for Application Performance Monitoring, APM tracks and monitors application performance metrics like response times, error rates, and transaction traces.

B

blob storage

Blob storage stores large volumes of unstructured data, such as images or logs. It supports long-term storage and archiving.

burn rate

The rate at which the service consumes the error budget; refers to SLO. See Burn rate of error budget.

C

capacity planning

Capacity planning forecasts and manages the resources an application needs to handle current and future loads.

cardinality

Cardinality is the number of possible distinct values in a dataset. Higher cardinality indicates more unique values.

chart

A chart represents data or information in a graphical format. Most charts in Kloudfuse are line graphs, stacked bar graphs, stacked area graphs, or point graphs.

cloud

A group of filters that identify the attributes of cloud-based services.

cloud account id

An identifier for a user or organization’s account in a cloud provider's system.

cold hot storage

The process of restoring archived logs into queryable storage. Use it for investigating older issues.

D

Data lake

A data lake stores logs, metrics, traces, and events in one place for easy correlation and analysis.

Disaster Recovery Plan

A documented strategy, abbreviated as DRP, that outlines how an organization can quickly resume critical IT operations. Key points include risk assessment, data backup strategy, recovery point objective (RPO), and recovery time objective (RTO).

E

eBPF

Extended Berkeley Packet Filter (eBPF) is a Linux kernel technology allowing users to run programs within the kernel for monitoring, debugging, and other functionalities.

F

facets

Attributes that the ingester extracts from a log line.

fingerprint

An automatically-detected structure of a log line for filtering purposes.

flame graph

A visualization representing profiling data that analyzes call stacks and identifies performance hotspots.

fluentd

A log collector that runs on every node and forwards logs to a defined output.

G

gauge

A metric that represents a single numerical value that can increase or decrease.

GraphQL

A query language for fetching data from multiple data sources with a single API call.

H

high cardinality

This means there are a large number of unique values compared to the total number of entries in a dataset.

I

indexing

Organizes log data into searchable structures for faster queries.

infrastructure

The foundational layer of hardware, software, and resources supporting the operation and scalability of applications.

J

just in time provisioning

Automatically creates user accounts during the first login with Identity Provider (IdP) credentials.

K

key value store

A NoSQL database that stores data as pairs for quick access and updates.

L

latency

The time taken for a single operation to complete, often measured as response time.

Lead time

The duration from code commit to production deployment.

M

MELT

An acronym for Metrics, Events, Logs, and Traces, providing insights into system performance and behavior.

N

node

A single machine or virtual instance in a network or cluster performing work and running services.

O

observability

The capability to monitor and analyze application behavior and infrastructure performance using telemetry data.

P

performance

The efficiency of the system handling workloads measured by factors such as throughput and latency.

R

RED

Refers to RED Metrics: an acronym for Requests, Errors, and Duration (Latency).

RPO (Recovery Point Objective)

The maximum amount of data loss an organization can tolerate during recovery.

RTO (Recovery Time Objective)

The maximum amount of time acceptable to restore a system after a disruption.

S

sampling

The process of selecting a subset of data points from a larger dataset for analysis.

service

Building blocks of modern microservice architectures, grouping together endpoints, queries, or jobs.

Service Level Agreement (SLA)

Defines the level of service and performance expectations between a service provider and customer.

Service Level Indicator (SLI)

Measures how well a service meets customer expectations, often as a percentage.

T

telemetry

Data collected and transmitted from remote sources for monitoring and analysis.

trace

A collection of operations representing a unique transaction handled by an application.

U

usability

A measure of how easy and intuitive it is for users to interact with a system.

V

vertical scaling

Increasing a system's capacity by adding more power to a single server.

W

workload

The type and amount of processing done by an application or service.

Z

zone awareness

A deployment strategy distributing workloads across multiple availability zones.