Operations | Monitoring | ITSM | DevOps | Cloud

This update delivers significant advances in operational flexibility and security monitoring capabilities. It addresses the evolving needs of security teams across diverse deployment environments, from air-gapped networks to those prioritizing automation and simplicity, while expanding integration options and improving visibility into data flows.

A test fails. You rerun it and it passes. You shrug and move on. This is how most teams deal with flaky tests. The “rerun until green” approach works in the moment, and rerunning from failed tests is a useful way to confirm whether a failure is real. But reruns don’t fix the underlying issue. Over time, they burn CI resources and can hide real instability in your code. On the other hand, fixing flaky tests can mean hours of work.

A single outage can stop operations, affect customers, and impact trust. In a world of pandemics, cyberattacks, weather events, and supply chain delays, your team cannot pray that something does not break. Business continuity drives your team to stay ready, recover earlier, and keep downtime lower. In this blog, we’ll explain what business continuity means, how to create a solid business continuity plan, and which approaches help teams keep operational during a disruption event.

The Incident Response Lifecycle is a step-by-step process that helps engineering teams detect, respond to, and recover from unexpected system disruptions or outages. It includes a series of six practical stages: Detection, Analysis, Impact Mitigation, Incident Resolution, Service Restoration, and Post-Incident Analysis. By following this lifecycle, teams can minimize downtime, reduce business impact, and continuously strengthen system reliability.

The world remains abuzz with AI hype, but the reality is that most modern applications aren’t purely AI workloads. The average company will have web services, APIs, databases, and background jobs running alongside its machine learning inference or training components. An architecture question everyone faces: should your Kubernetes cluster and GPU compute live in the same data center, or can you split them across providers?

Call flows let you design voice workflows with nodes like “Audio message,” “Support hours,” “Voicemail,” “Route call,” and much more. The ilert Terraform provider now includes a ilert_call_flow resource so you can version and promote these flows across environments. This blog post offers an overview of managing call flows in Terraform, detailing the benefits and key scenarios.