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observability

Concepts that power modern infrastructure

01

What is observability?

Observability is the ability to understand the internal state of a system by examining its outputs.

It goes beyond monitoring by giving you the context to ask questions you didn't even know you needed to ask.

The foundation

Three signals, one complete picture

01

Metrics

Numeric measurements over time

CPU usage, request latency, error rates, throughput

02

Logs

Discrete events from your apps

Error messages, debug info, state changes

03

Traces

The path of a request

See where time is spent across services

Together, these signals let you

Detect issues

Find the cause

Fix it faster

02

SLI

Service Level Indicator

A carefully defined quantitative measure of some aspect of the level of service that is provided.

Request latency

Error rate

Throughput

Availability

Example

95th percentile

latency < 200ms

A realistic SLI for web application response time

Example

99.9%

availability monthly

A realistic SLO for critical infrastructure

03

SLO

Service Level Objective

A target value or range of values for a service level that is measured by an SLI.

SLOs define the acceptable level of service for your customers.

04

Best practices

Key principles for effective observability

1

Measure what users experience

Not just what's easy to measure. Focus on the user perspective.

2

Define clear objectives

Establish measurable SLOs that align with business goals.

3

Use meaningful indicators

Choose SLIs that accurately reflect service performance.

4

Monitor continuously

Maintain real-time visibility to detect and respond quickly.

Need help?

We can help you implement observability

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