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Explore the crucial role of SLA monitoring in safeguarding revenue and ensuring reliable services. Learn best practices and reliability strategies.
If you’re an SRE, then you already know your SLOs from your SLAs, not to mention your SLIs. But even if you’re not au fait with those acronyms, you’ll soon discover how widespread and applicable these concepts are in this installment of our IPM Best Practices Series.
We’ll explore these concepts in detail and explore how external monitoring can enhance the tracking of Service Level Objectives (SLOs), leading to positive user experiences and informed decision-making.
To begin, let's distinguish between our SLAs and our SLOs.
An SLO, or service-level objective, is a specific performance goal that a vendor must meet. It serves as a clear and measurable goal that outlines the expected level of service quality. For example, an SLO may specify that a web application should maintain 99% uptime, meaning it should be accessible and operational for at least 99% of the time within a given period, such as a month or a year.
SLAs, or service-level agreements, are contracts between a vendor and a client defining the level of performance the vendor must provide to the client and the consequences, typically financial, if performance does not meet defined thresholds. They often consist of a collection of individual SLOs (Service Level Objectives) to precisely define the scope of what is guaranteed.
For instance, an SLA between a cloud provider and a client might ensure 99.9% availability of their virtual servers. If this level of availability isn't maintained, the SLA could specify a refund or service credit.
An SLI, or service-level indicator, represents the exact metric(s) and threshold(s) that will be used to determine whether an SLO has been violated. For example, an SLI might define that the "Test Failure rate" should not exceed 1% during any one-week period. In this case, the SLI is tracking the failure rate of a particular test and sets a threshold of 1% as the maximum acceptable failure rate within a weekly timeframe.
An error budget is a predetermined allowance for errors or deviations in a system's performance metrics, typically specified in SLOs. It represents the margin for acceptable issues or failures within a defined timeframe. When errors accumulate and exceed the budget, it signals a breach of the agreed-upon service quality
Here are some key reasons why SLOs are vital:
The goal of SLOs is to ensure the delivery of highly reliable, resilient, and responsive services that consistently meet or surpass user expectations. These objectives are often expressed as percentages that hover close to, but not quite 100%. For example, you might aim for 99% or 99.99% availability.
Perfection, aiming for 100%, is simply impossible in the real world. Even if issues aren't your fault, something will fail at some point. Striving for absolute reliability is not only financially costly but also unrealistic in terms of human resources and engineer expectations.
Conversely, being too unreliable also comes at a cost. Users will eventually leave for more dependable competitors if they experience frequent disruptions. So, what's the balance?
Imagine ordering a dish at your favorite restaurant and things don't go perfectly. The kitchen may get backed up, or the waiter mixes up your order. It's a minor inconvenience, easily corrected. As long as such errors are infrequent, say only 5% of the time, you'll likely keep supporting the restaurant because you're generally satisfied. This encapsulates SLOs and site reliability engineering. It's about meeting expectations most of the time while accepting occasional hiccups. SLOs help strike this balance, ensuring user happiness and business success.
External monitoring plays a crucial role in enhancing SLO tracking by providing an unbiased and comprehensive view of service performance and reliability. Customers and stakeholders often place trust in external assessments, considering them impartial and transparent. This trust contributes to increased confidence in the service provider's claims.
Ultimately, external monitoring ensures positive user experiences, reliability, SLA compliance, and well-informed decision-making, making it an invaluable tool in maintaining service quality.
Here are some best practices for setting up SLOs:
If you already have predefined SLOs in your SLA from an internal team or vendor, you can rely on the SLOs specified in those documents to guide your setup. However, if you're starting from scratch, consider these best practices to get started effectively.
Any SLO dashboard should provide a single view to track the SLOs of all the services. Catchpoint's SLO dashboard offers efficient monitoring and provides a unified view of service performance, simplifying the implementation of the above best practices.
Below is a snapshot of Catchpoint’s SLO dashboard and its components.
The above dashboard provides a single view of all the services used and the corresponding SLO for various timeframes. It enables quick identification of whether there are any breaches in the SLO budget for any of the services that are used in the delivery stack.
In case of any SLO violation, it is important to understand the reason for the outage or degradation and have the data ready to share with stakeholders. From the above burndown chart, we can see the SLO budget trend and specific time details about the SLO violations.
SLA management is not just about holding vendors accountable. It is also about your IT organization ensuring reliable services independent of any vendor failure. It's essential to have a well-defined observability strategy that complements your SLA strategy and a reliability strategy that includes real-time monitoring and alerting for both the vendor's service and your own.
Your observability strategy should have the following capabilities:
Catchpoint’s IPM platform encompasses all these capabilities, allowing you to confidently meet customer expectations and hold your vendors to account.
With Catchpoint, you can:
Join us in the next installment of our IPM Best Practices Series as we explore API Monitoring, diving into the intricacies of API transactions and learning how to improve resilience.