Building software is just the beginning; ensuring its reliability is essential. Unreliable systems frustrate users and disrupt operations. The talk will cover principles including MTTR, MTTD, SLIs, SLOs, and more to enhance your application's dependability.


Ensuring software reliability is the real deal after deployment. Unreliable systems lead to user dissatisfaction, operational disruptions, and damage to your reputation. In today's competitive market, customers won't hesitate to switch to competitors if your system fails them. This session delves into why reliability matters and how to measure and improve it effectively.

We'll explore key principles of reliability engineering, including:

Service Level Indicators (SLIs): Metrics that reflect your system's performance and health, such as latency, error rates, and availability.

Service Level Objectives (SLOs): Targets set for SLIs that define acceptable performance levels to meet user expectations.

Error Budgeting: An allowance for acceptable risk without compromising reliability, helping balance new features with system stability.

Mean Time to Detect (MTTD): Measures how quickly your monitoring systems identify issues, emphasizing the importance of effective detection.

Mean Time to Repair (MTTR): Assesses how swiftly you can recover from issues, highlighting the efficiency of your incident response.

Attendees will learn practical tools and strategies to build systems that detect issues promptly, recover quickly, and maintain functionality during failures. We'll discuss real-life scenarios, best practices, and examine tools that help developers create resilient systems capable of graceful degradation and rapid recovery.

This talk is ideal for software engineers, architects, DevOps professionals, and anyone involved in software development who is keen on enhancing application dependability and maintaining customer trust.