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

Cyber Kill Chains: Strategies & Tactics
Learn
10 Minute Read

Cyber Kill Chains: Strategies & Tactics

A cyber kill chain framework helps you understand and combat attacks. Learn about the evolution and applications of the cyber kill chain.
RAG: Retrieval Augmented Generation, Explained
Learn
5 Minute Read

RAG: Retrieval Augmented Generation, Explained

Want to automate and optimize the outputs from your language models? Retrieval augmented generation is a fundamental technique. Learn about it here.
Chief Innovation Officer Role Explained: Responsibilities, Skills & Salary
Learn
6 Minute Read

Chief Innovation Officer Role Explained: Responsibilities, Skills & Salary

Find out how chief innovation officers help businesses stay competitive and what their key responsibilities and skills are.
What's a Firewall? The Complete Guide
Learn
6 Minute Read

What's a Firewall? The Complete Guide

Learn about firewalls, including how it works, and the popular types of firewalls. Also, check out some of the best practices for choosing firewalls.
The Product Development Lifecycle, Explained
Learn
6 Minute Read

The Product Development Lifecycle, Explained

Have a new idea for a great product? The product development lifecycle takes your idea from its initial conception to its final release and beyond.
Data Trends in 2026: 8 Trends To Follow
Learn
5 Minute Read

Data Trends in 2026: 8 Trends To Follow

Data is changing everything. But what specific trends are really driving these massive shifts? Get the full story on current data trends.
What Is Five 9s in Availability Metrics?
Learn
4 Minute Read

What Is Five 9s in Availability Metrics?

Five 9s predicts that a measured IT component will be available at least 99.999% of the time during a specific period. Get the full story here.
Vendor Management: The Complete Guide
Learn
6 Minute Read

Vendor Management: The Complete Guide

Vendor management is an important practice for most organizations. Learn how to do it well, step by step, in this complete guide.
CRUD Operations Explained
Learn
4 Minute Read

CRUD Operations Explained

CRUD Operations refers to four essential functions — Create, Read, Update, and Delete — that manage data in databases or other storage systems.