InterSystems Innovation & Technology Culture

What’s your rule for fast, safe releases — and what KPI proves it works?

InterSystems’ rule is standardized, automated releases with built-in validation against service level objectives across all environments, including our own datacenters, hosted and private cloud, and public cloud. Every change is delivered through infrastructure as code and consistent pipelines, with clear rollback paths and production-level observability.

We measure success using deployment success rate, change failure rate, mean time to recovery and SLO adherence. The key signal is our ability to increase deployment velocity across all environments while maintaining SLO performance and minimizing customer impact. If we are releasing faster everywhere and still meeting our SLOs, the model is working.

Which standard or metric defines “quality” in your stack?

Quality is defined by meeting and sustaining SLOs that underpin our service level agreements consistently across data centers, hosted cloud and hyper-scalers.

We anchor on SLO and service level indicator performance, such as availability, latency and error rates tied directly to customer SLAs, customer impacting incident rate and severity, consistency of deployment and operations across environments through infrastructure as code, and security and compliance alignment based on NIST and CIS controls.

In practice, quality means we deliver a predictable and reliable experience regardless of where the workload runs, with the same operational standards applied everywhere.

Name one recent AI/automation shipped and its impact on the team or business.

One example is that our team has implemented AI-assisted, agent-driven infrastructure as code automation to standardize deployments across our data centers, hosted cloud environments and public cloud platforms.

By leveraging AI to accelerate development and extend our automation framework, we have scaled platform support across hypervisors and hyper-scalers without linear engineering effort, reduced deployment time and manual configuration across all environments, and improved consistency, which directly supports SLO adherence and SLA commitments.

The impact is a more scalable and unified operating model where we can onboard and operate environments anywhere with the same level of reliability, speed and control.