Error Budget Strategies for Performance Management

One of the biggest mistakes in the early literature about using SLOs and error budgets is that so much of it was framed around "halt releases if out of error budget; ship features if you have error budget!" There isn't anything wrong with this, but it severely limits the incredibly usefulness of error budgets! Here are just a few other ways you can use this data: 1. Better alerting. Why get woken up at 03:00 by a threshold alert when your performance over time hasn't yet actually impacted user sentiment? 2. Plan for experimentation and chaos engineering. You probably shouldn't do things that might break things if you're low on error budget. But if you have lots remaining: test away! In fact, I believe adding error budgets to your chaos engineering efforts is a force multiplier for both! They so naturally compliment each other. 3. Time your large-scale production projects. Do you need to perform a full DR test in production? Fail over from one datacenter/cloud region to the next? Turn off legacy backend services that everything used to depend on? Look at your error budgets to see if it makes sense to do that now, or maybe next week (or next month or...) 4. Schedule and better understand your load and stress tests. Without error budgets in place, it can be difficult to understand where on the curve you start to break, and often just where you completely break. Also, maybe don't do those tests when you just had an outage and your budget is depleted or low. 5. Report on your service reliability in a more meaningful way. Much has been said by yours truly and many others about how MTTX measurements are just bad metrics over the last few years. But do you know what good ones are? Your error budgets. They can much more precisely inform you and your stakeholders about the actual impact of your incidents than arbitrary mean measurements ever can. 6. Do nothing at all! Sometimes you know why you ran out of error budget, or conversely you know why your error budget has been perfect. Maybe nothing actually has to happen at all, or you know you need to wait on another team, a vendor, new budget etc. to actually get things back in line. 7. Have better data to have better discussions to make better decisions. That's what it's really all about. I'm not a huge fan of strict error budget policies. Instead, use this data to help you better think about "What is actually going on? How is this impacting user sentiment?" and go from there. What are some other ways you like to use error budgets?

At Google, one of the most valuable concepts I’ve learned is something deceptively simple: SLOs. Service Level Objectives define what reliability actually means for a system. Not just vague aspirations, but clear, measurable targets that help teams balance innovation and stability. ✨ You want your app to be “fast” but how fast? ✨ You want uptime to be “good” but how often is failure acceptable? ✨ You want customers happy but how do you quantify enough reliability without burning out your engineers? That’s where SLOs come in. They force alignment between product expectations & engineering realities. And they introduce a concept I now swear by: error budgets. Instead of aiming for 100% perfection, you define an acceptable threshold (say, 99.9% uptime). If you’re within budget, you can ship faster. If you’re breaching it, you pause and stabilize. It’s a powerful reminder: 🚫 Not every incident is a fire. 📈 Not every improvement is worth the cost. 💡 Tradeoffs are inevitable and intentionality matters. If you’re building something and haven’t defined what “good enough” looks like… You might be over-engineering, under-communicating, or just running blind. ⸻ Would love to hear how others think about reliability- do you define your SLOs? Or are you chasing 100%? #Tech

99.999% uptime is hurting your business. It’s stopping you from delivering maximum value to your customers. 99.999% uptime means less than six minutes of downtime over a year. It’s doable, but it costs a lot for the infrastructure - money you could instead spend on building a better product that your customers would love more. It’s doable, but it means you have to deploy less - instead of regularly delivering product enhancements or experimenting to delight customers. It’s doable, but it costs a lot more to build and operate the software systems - money that could be invested in product development instead. It’s doable, but it means you need 24x7 operational support which costs a lot of money and people don’t like being on call. The good news is there is a better way. Stop focusing on the number of nines of uptime and instead start focusing on value to the customer. Stop thinking in terms of uptime. Instead think in terms of an error budget. Error budgets are a cornerstone of Site Reliability Engineering (SRE). They are a calculated allowance of acceptable failures within a given time frame. Instead of aiming for a minimal downtime, error budgets accept that some level of downtime is inevitable. To make it work SREs use Service Level Indicators (SLIs) and Service Level Objectives (SLOs). SLIs are metrics that define how a service performs, such as response time or error rate. SLOs, on the other hand, set the acceptable level of performance based on these metrics. The error budget is the gap between perfect performance and the defined SLO. Error budgets are about embracing controlled risk to drive innovation. Imagine you're operating with an SLO of 99.9% monthly availability. This allows for roughly 43 minutes downtime. When using error budgets if your system is down for only 10 minutes of downtime, you have 33 minutes to spare within your error budget. Instead of fearing failure, teams to use their error budget as a sandbox for controlled experimentation. It allows for calculated risks enabling innovation without jeopardising user experience. Creating a culture of measured innovation—testing new features, updates, or optimisations within the confines of the error budget. Are you using error budgets? If so what has been your experience?

Error budgets aren’t just for SREs. They’re procurement gold, if you use them right. Most teams treat error budgets like internal scorecards. They burn through them silently, then hold a postmortem no one reads. Then they renew the vendor anyway. That’s a missed opportunity. Because error budgets don’t just track performance. They surface patterns. They show who’s trending toward risk, and who’s hiding behind dashboards. Here are 3 ways we’ve turned error budgets into real business leverage: 1. Trigger a contract review when burn rates spike. This isn’t about punishment. It’s about accountability. If the vendor can’t stay within the tolerance, it’s time to renegotiate scope, timeline, or cost. 2. Tie compensation to cumulative reliability, not isolated incidents. Bonus multipliers or penalties based on long-term burn signals create shared incentives across engineering, vendor, and product teams. 3. Use error budgets to shape renewal terms. Why renew blindly? Use burn trends to adjust SLAs, investment levels, and feature prioritization. You don’t need perfect uptime. You need clearly defined tolerances and real consequences. Because if you’re still negotiating with dashboards instead of data, you’re not leading. You’re guessing. How are you using burn rate in your next renewal conversation?