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Sajeeb Lohani
Global Technical Information Security Officer (TISO), Bugcrowd
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Glossary

Service Level Objective (SLO)


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Table of contents

    What is a Service Level Objective?

    A Service Level Objective (SLO) is a defined, measurable target for service performance and reliability. It specifies the level of service that a service provider commits to delivering over a specific period of time.

    Service Level Objectives are a core component of service level agreements (SLAs) and are measured using service level indicators (SLIs). Together, SLIs, SLOs, and SLAs create a structured framework for managing service reliability, uptime, response time, and overall service quality.

    SLOs help DevOps and Site Reliability Engineering (SRE) teams evaluate system performance, define measurable goals, and maintain high levels of user satisfaction.

    What are the key components of a Service Level Objective?

    The success of any technology is based on one thing: a positive or acceptable user experience.

    Building an exceptional digital customer experience requires an understanding of the metrics that comprise the service’s performance. An application or software is essentially providing a service to a user or, more often, millions of users. So how do companies evaluate the efficacy and quality of their services from the user’s perspective?

    This is where service SLOs come in. Let’s look at the key components of an SLO.

    • When someone is obliged, this refers to the entity or group that is required to deliver and maintain their SLO.
    • The validity period refers to the period in which the SLO must be delivered. Anything delivered beyond that is a breach of the SLA.
    • The expression refers to the language that delineates what the SLO is and how it is to be met.
    • Quality of service (QoS) is made through various measurements (SLIs) that, when put together, represent a numerical SLO achievement value, usually in the form of percentiles

    These various aspects of the SLO must all be maintained for the initial SLA to be upheld.

    SLA vs. SLO vs. SLI

    SLAs, SLOs and SLIs all work together to uphold the contract and agreement between a service provider and a client. Below we’ll look at each term and see how it functions in the client–service provider relationship.

    • SLA: An obligation, or set of obligations made between a service provider and a client, which guarantees certain quality assurances concerning availability, responsibility, and other key metrics. Different types of SLAs define various levels of agreements, including customer-based SLA, service-based SLA, and corporate-level SLA. SLOs, the next subsection of the SLA umbrella, often define SLAs.
    • SLO: An important aspect of how we measure and maintain the obligations defined in an SLA. SLOs are essentially the percentage we place on specific metrics that demonstrate how effectively the agreements within an SLA are being upheld. SLOs are expressed through specific, concrete numerical percentiles that represent and measure the efficacy of a specific level of service. Those numbers are representative of the next sub-category, SLIs.
    • SLI: A specific metric that helps companies measure some aspect of the level of services to their customers. SLIs can help companies identify ongoing network issues and lead to more efficient recoveries. SLIs are typically measured as percentages, with 0% being terrible performance to 100% being perfect performance. SLIs are the foundation of SLOs, which aim to represent the objectives that an organization is aiming to uphold within its SLA. SLOs will determine which SLIs are critical to be measured and used to demonstrate quality assurance.

    From SLIs to SLOs

    SLOs are specified in terms of a defined target level, measurement, and achievement over a determined time or quality level. An SLO example might look something like this: 95% of all requests should be resolved within 24 hours of the initial point of contact. The point of the SLO is to ensure that a level of satisfaction is maintained with clients, customers, and users, and the percentile method is a simple framework that allows for a concrete demonstration of quality and service reliability.

    Below are some common SLIs that comprise the SLOs companies are measuring:

    • Availability
      Availability is another important SLI that measures the fraction of time that a service is available. Availability is connected to and often determined in terms of yield, another SLI. An example of an availability measurement might be that a service or application is available 98% of the time.
    • Service desk response
      Service desk response looks at how quickly a help desk question or request is responded to. The less amount of time it takes to respond to a request, the higher your percentage will be. For example, you can create an objective that states 90% of help desk requests will be responded to in less than three minutes.
    • Incident response time
      Incident response
      , like service desk response, measures how quickly incidents and issues are resolved. An example of this might be that 95% of incidents will be resolved within four hours.
    • Error rate
      Error rates are another key SLI, and they measure, as you may have guessed, the number or level of errors throughout the customer experience. A low error rate, let’s say at 5%, would be a good thing and represent an SLO at 95%. Teams often leverage error budgets to balance service reliability with service innovation.

    It’s important to remember that there are many types of SLOs that you can use to measure your quality of services. It’s best not to capitalize on each SLO at your disposal, but to narrow your focus down to the SLOs that matter most to your clients and users. Depending on your client/user, you might take a product-based approach, customer-service-based approach, or engineering approach.

    How Sumo Logic can help

    Businesses are focused on achieving their goals and maintaining their SLAs, which is why they value robust observability platforms, like Sumo Logic, to help them measure their objectives and ensure they’re on track to meeting their KPIs, deadlines, and long-term strategies.

    Try Sumo Logic’s free trial today to see how we can help you reach your goals and deliver the digital customer experience today.

    FAQs

    One notable trend is the adoption of generative AI to automate SLA management processes, improving accuracy and reducing manual effort. Additionally, integrating performance metrics and key performance indicators (KPIs) in SLAs is gaining prominence, enabling better measurement of service quality and adherence to customer expectations.

    Cloud service has also revolutionized SLAs by offering increased service availability and scalability. Moreover, the focus on customer experience and clear expectations influences the design of more effective SLAs that align with customer needs. Overall, technological advancements and a shift towards customer-centric practices are shaping the future of service-level agreements.

    When it’s time for an audit, the Sumo Logic platform increases understanding, streamlines the auditing process and ensures ongoing compliance with various security regulations and frameworks in the following ways:

    • Centralize data collection, capturing a wide range of organizational data from wherever it originates, empowering organizations to monitor and learn from it.
    • Make various data types available with 100% visibility and visualize them in compelling, configurable dashboards for real-time monitoring and insights.
    • Find any data at any time using query language to create filters and search parameters — whether it relates to regulatory compliance or internal security controls.
    • Leverage machine learning analytics to improve and streamline audit processes and expedite compliance using tools like our PCI Dashboard.
    • Cost-effective data storage that maintains attestations, such as SOC2 Type II, HIPAA, PCI Service Level 1 Provider, and a FedRAMP moderate authorized offering.
    • Real-time monitoring of incoming data and security controls to identify anomalies that could signal a security risk, cyber threats, vulnerability, security threat or non-compliance.

    Numerous data integrations and out-of-the-box applications that properly collect and catalog all data.