SLA vs. SLI vs. SLO: Understanding Service Levels

Key Takeaways

  • SLAs, SLOs, and SLIs create a service reliability framework: SLAs set customer commitments, SLOs define performance goals, and SLIs measure progress, helping teams align expectations with results.
  • SLOs are key to preventing SLA breaches: By setting realistic internal targets, SLOs help teams maintain reliability and address issues before they impact customers.
  • SLIs provide actionable insights: Tracking SLIs highlights performance trends and helps teams optimize operations to meet SLOs and avoid SLA violations.

In our service-driven world, businesses must provide the best user experience possible. Great service helps you retain long-term customers while also growing your customer base — to keep tabs on service performance, a few key metrics and signals come into play.

Service Level Agreements (SLAs), Service Level Objectives (SLOs), and Service Level Indicators (SLIs) are metrics all about the products and services that businesses promise and how those businesses monitor progress on meeting performance and quality objectives.

In this article, we’ll explore the differences between SLAs, SLOs, and SLIs, as well as the challenges and best practices in implementing them in your organization.

What are SLAs?

A service level agreement (SLA) is an agreement between a service provider and its customers. It is based on specific service commitments, such as resolution time for customer cases, service uptime and website responsiveness. Each SLA is a specific “promise” to the customer: not all SLAs are the same.

SLAs can greatly vary according to the industry and the service provider. The business or legal teams of the service typically prepare SLAs for paid and available services of the company. These SLAs include the following key parts:

SLAs are written by the business or legal team of a company, so it’s important to collaborate with tech teams to avoid any technical gaps in defining them.

What are SLOs?

A service level objective (SLO) is what the service agrees to provide for its users regarding specific measurements. These measurements include metrics such as:

Compared to SLAs, SLOs define a specific value for each of those individual promises. An SLA is a formal agreement set by a service provider for the performance or quality of a service. On the other hand, SLOs are clear targets that you as the provider set internally to evaluate if the SLAs are being met.

For example, the following is part of an SLO provided by AWS for its individual EC2 instance.

What are SLIs?

Service level indicators (SLIs) are the key indicators that measure the performance of the service. They help assess if the company achieved the defined SLOs.

Compared to defined SLAs, SLIs are the actual or historical values . If the values are below the defined SLOs, there is a problem with the service. So, you can optimize the service to meet the SLO or adjust the SLO for more value.

For example, in the previous AWS EC2 example, SLO is less than 99.5% but equal to or greater than 99.0%; the SLI would be the actual measurement of the service uptime, perhaps 99.26%.

SLA vs. SLI vs. SLO: Key differences

The following table summarizes the key differences between SLAs, SLOs, and SLIs.

SLA
SLO
SLI
Purpose
Agreements made with the clients for service commitments
Internally focused objectives the service aims to provide to the clients. Serves as benchmarks to measure performance.
Actual values of SLOs to measure the performance of the service
When to use
Suitable for paid services
Both free and paid services
Required if SLOs are defined to measure the performance
Focus
Scope, metrics, legal and financial consequences
Specific target to meet the SLAs
Actual data to assess the performance
Examples
Uptime Percentage, Availability, Resolution Time
Response time less than or equal to 300ms, error rate is less than 2%

Average Response time = 250.1ms

Uptime Percentage = 98.9%

Flexibility
Less flexible to change as changes require agreement between service providers, legal teams, and clients
Flexible than SLAs. It can be updated according to technological and service requirements.
More flexible than SLOs. It can be adjusted according to changes in performance requirements.

While each of these “metrics” can apply across different types of businesses and services, one of the more common places you might find them is in a site reliability engineering (SRE) context. Because there is no SRE success without availability, SLIs, SLOs and SLAs are critical tools for SREs looking to quantify just how reliable a system is performing over time.

Whatever the case, there are some challenges with effectively measuring and applying these metrics in any organization.

SLA vs. SLI vs. SLO challenges

Let’s dive into some of the challenges you might encounter when dealing with each of these metrics:

Challenges for SLAs

Less collaboration between legal and tech teams can lead to unrealistic SLAs
SLAs are created and defined by a company’s legal or business teams, who typically lack the technical background of the service. It can lead to unrealistic SLOs, which are difficult to achieve.

Suppose a legal team defines the availability as 99.999% of the time. This value can be solely the legal team's perception of high availability, overlooking the potential challenges that you might face to achieve it, like software, hardware, network failures and dependencies with third-party services.

Keeping the SLAs up-to-date with changing customer needs and technological evolutions
As technology is rapidly changing, keeping up with such drastic changes can be challenging with the available resources of the service provider and budget constraints. This is the same for changing customer needs, which require constant adjustment and renegotiation.

Costs
Companies must invest in human resources and new technologies to meet SLAs as planned. It could incur additional costs.

Challenges for SLOs

Striking the right balance between complexity and simplicity
SLOs can sometimes be too complicated to measure. If they are not well-defined initially, teams will have to waste time comprehending how to achieve them. Besides, SLOs that are easy to meet will not help achieve the desired customer expectations. Thus, defining a balanced SLO can be challenging.

Selecting the right set of metrics
Suppose you do not choose the metrics that align with the business goal and customer expectations of the company. Then, those SLOs will not reflect what the company promises to its customers.

Keeping up with external dependencies can be challenging
Services often depend on third-party components or services. If these external dependencies fail, the SLO compliance of the service might be impacted, even if the internal components work perfectly.

Challenges for SLIs

Too many metrics
While too many metrics can complicate things, they will make little difference to the user.

Some metrics can be difficult to measure
Some performance metrics can be challenging to measure accurately. For example, measuring user engagement, latency in real-time applications, and overall user satisfaction can be difficult.

Accurately measuring the values can be challenging It is important to measure the performance of each SLO metric correctly. Accurate and reliable testing and monitoring strategies will be required.

SLA vs. SLI vs. SLO best practices

While challenges may arise, SLAs, SLIs and SLOs alike are incredibly valuable when providing any service or product. Following these best practices can help you get the most out of these metrics:

SLA best practices

SLO best practices

SLI best practices

Summing up

To recap, SLAs are the overall agreements between providers, while SLOs are the actual promises the services make to clients and SLIs are the actual values that help measure performance.

As with most business or IT concepts, following best practices can help you navigate common challenges in SLAs, SLOs and SLIs. By putting these metrics to use effectively, you can help ensure your organization is offering the most reliable and useful service possible.

Related Articles

The Digital Immune System (DIS) Explained
Learn
4 Minute Read

The Digital Immune System (DIS) Explained

A strategic trend per Gartner, the digital immune system is a framework for ensuring your business resilience and health. Get the full story on this concept here.
Multi-Stage Attacks & How To Detect Them
Learn
4 Minute Read

Multi-Stage Attacks & How To Detect Them

Today's cyberattacks are sophisticated: there are multiple steps to take in order to have a huge impact. Get ahead of each step with this primer on detecting multistage attacks.
Data Observability: The Complete Introduction
Learn
8 Minute Read

Data Observability: The Complete Introduction

Get the complete story on data observability here: what itis, the 5 pillars, benefits & implementing — and best of all, ALL the things you can do with it.
Deployment Frequency (DF) Explained
Learn
5 Minute Read

Deployment Frequency (DF) Explained

Deploying changes to production is the only way end-users will see improved software. Learn about the deployment frequency (DF) metric from DORA here.
What Is Human Centric Software?
Learn
4 Minute Read

What Is Human Centric Software?

Human centric software is a way of designing software for both tangible metrics and harder to measure concepts like user preference & satisfaction.
What's Dogfooding? AKA Drinking Your Own Champagne, or Eating Your Own Ice Cream
Learn
3 Minute Read

What's Dogfooding? AKA Drinking Your Own Champagne, or Eating Your Own Ice Cream

This article takes a deep look at the history, benefits, challenges, and language of dogfooding, the practice of using your own software/products.
Infrastructure Management & Lifecycle Explained
Learn
5 Minute Read

Infrastructure Management & Lifecycle Explained

Managing your IT infrastructure is a critical aspect of your business, even if you don't think it is. See how a 4-phase approach covers the entire span of the infrastructure management practice.
Democratized Generative AI: Revolutionizing Knowledge Work
Learn
4 Minute Read

Democratized Generative AI: Revolutionizing Knowledge Work

In this blog post, we'll take a look at the increasingly popular topic of Democratized Generative AI and how its transforming the way people work.
The Industrial Internet of Things: A Primer
Learn
9 Minute Read

The Industrial Internet of Things: A Primer

In this blog pots, we'll take a look at the Industrial Internet of Things, and how it relates to the broader Internet of Things and related technologies