The compliance landscape has shifted
For years, application uptime was a best-effort goal — something engineering teams tracked internally but rarely had to defend to a regulator. That era is ending.
Across financial services, healthcare, critical infrastructure, and telecommunications, regulators are writing specific requirements for how organizations detect, report, and prove recovery from digital service disruptions. DORA mandates incident notification within hours. MAS TRM requires evidence of third-party resilience. The SEC demands immediate escalation for systems integrity events. And these are just the frameworks already in force today...more are coming!
We've mapped this regulatory landscape, and the pattern is clear: application resilience is becoming a legal obligation, not a service-level aspiration.
Today we're publishing Digital Downtime Is Done, an ebook that covers the full scope of what's changing and what teams need to do about it.
What the ebook covers
The ebook is organized in four parts.
Part I maps the global regulatory landscape. We reviewed more than a dozen frameworks and found that 73% require incident notification within 24 hours — and 19% mandate two hours or less. The section covers DORA, NIS2, FiDA, MAS TRM, SAMA, SEC SCI, and more, including the emerging intersection with the EU AI Act.
Part II examines why traditional monitoring falls short. The core finding: 57% of outage root causes originate outside the data center. Internal APM tools caught only 43% of external incidents within five minutes. External synthetic probes caught 92%. For organizations subject to tight notification windows, that gap is the difference between compliance and a reportable breach.
Part III makes the business case. We walk through sector-by-sector exposure, the ROI evidence for outside-in observability (including one team that reduced mean time to awareness from 11 minutes to 70 seconds), and the investor-relations dimension — how resilience evidence is starting to affect enterprise valuations.
Part IV provides the implementation roadmap. It includes a four-level observability maturity model, an 8-step program, a 12-month Gantt-style plan, budgeting guidance, and a methodology for turning telemetry into audit-ready compliance artifacts.
AI traffic makes this harder
One section we found especially important to include: the impact of AI agents on API traffic. Machine-driven consumption is changing the failure landscape. AI agents retry more aggressively than browsers, cascade failures across service chains, and generate traffic patterns that conventional alerting rules were never designed to handle. We found that AI agents increase peak API traffic by a median of 800%.
If your resilience strategy was designed for human-scale traffic, it needs updating. The ebook covers what changes and what to look for.