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.
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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.
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.
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%.
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.
Let’s dive into some of the challenges you might encounter when dealing with each of these metrics:
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.
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.
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.
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:
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.
See an error or have a suggestion? Please let us know by emailing ssg-blogs@splunk.com.
This posting does not necessarily represent Splunk's position, strategies or opinion.
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