Software teams seeking to provide better products and services must focus on faster release cycles. But running reliable systems at ever-increasing speeds presents a big challenge. Software teams can have both quality and speed by adjusting the policies around ongoing service ownership. While on-call plays a large part in this model, advancement in knowledge, more resilient code, increased collaboration, and practice also mean engineers don’t have to wake up to a nightmare.

After the unfortunate Commonwealth Bank of Australia outage last week, the powerful Payment Systems Board—whose members include the chairs of the RBA and APRA – announced it would make all outage data public to prevent banks, payment schemes, and telecommunications carriers from “hiding behind” the performance statistics shared by each institution.

Monitoring is an art form. That sounds cheesy and lazy, but the right kind of monitoring is very context-dependent and rarely does the same practice work across multiple pieces of software or people. This gets even harder when you think about modern software architectures. Microservices? Container schedulers? Autoscaling groups? Serverless? ${New-technology-that-will-solve-all-of-my-problems-but-probably-creates-other-problems}?

October is the month of spooky scares, so it makes sense that National Cybersecurity Awareness Month is also recognized at this time—after all, what’s more scary than, for example, having someone phish for your personal information and using said info to ruin your credit or losing your password to hackers so they have access to your bank account?

As digital transformation continues to be central to an organization’s growth mandate, it’s critical to ensure that customer-facing, revenue-generating, mission-critical applications are operationally reliable and secure. That’s where Sumo Logic comes in—for almost 10 years, we have been providing a Continuous Intelligence platform for DevSecOps that’s utilized by over 2000+ customers in almost every vertical.

For your team to effectively respond to incidents, you need a shared, unambiguous incident definition so you can recognize when an incident has occurred and assign the appropriate severity. Definitions of an incident differ across teams, but whatever definition you use, identifying and monitoring key service level indicators (SLIs) can help you understand when your service is operating normally—and when its performance has degraded to the point where you need to trigger an incident.