The Premium 

Insurance has a way of making the future feel personal. For this leading insurance and financial services provider, digital products had to be dependable as technology became distributed and change accelerated. But monitoring, operational knowledge, and incident response were all scattered and unavailable in moments of pressure. Solving for this would take building reliability that engineering teams could actually count on.

A Rate Hike 

Application and infrastructure teams were working hard, but only after something broke. 

Visibility Without Context. Teams had monitoring coverage, but not shared dashboards, dependency views, or service-level measures that could help them prioritize. Signals were also spread across tools and environments, making it harder to detect serious customer issues the moment they arose. 

Too Much Noise. False positives and inconsistent thresholds were constantly distracting engineers. There was plenty of data, but no way to sift through it effectively, or use it to solve recurring issues. 

Scattered Incident Response. At the core of the issue was a lack of communication between application, infrastructure, and incident response teams. Expectations were uneven, and there was no centralized source of knowledge available that teams could use to respond quickly. 

Insurance runs on evaluating risk before it becomes a claim. The provider needed a partner that could bring that same discipline to its technology and help it build a common SRE charter with the service-level objectives to back it up. 

The Renewal 

This engagement aligned with three areas of AHEAD India’s expertise. 

• Operational Excellence: Designing an SRE operating model around service-level objectives, incident-response standards, on-call practices, root-cause analysis, and measurable adoption. 
• Secure & Resilient Architecture: Bringing together application dependencies, failure modes, and resiliency testing so teams could proactively address risk. 
• Platform & Workload Modernization: Using Dynatrace and PagerDuty for automated alerts and actionable dashboards. 

The work unfolded across three phases: 

Advise 

AHEAD sat down with various teams to understand how each of them reviewed incident patterns and performed monitoring. This helped identify where visibility was breaking down or ownership was unclear. 

Why the Groundwork Mattered: A common set of standards across teams helped decide which signals needed immediate attention, who needed to see them, and what actions needed to occur next. 

Build 

AHEAD then used that groundwork to build the new SRE model, with Dynatrace and PagerDuty creating dashboards for visibility into performance and dependencies. Monitoring, alerts, and synthetics were based on incident data and post-incident learnings. AHEAD also helped establish on-call practices, support runbooks, and root-cause analysis. Wherever possible, recurring work was automated. 

How It Came to Life: SRE principles were built into daily tools and habits that engineers relied on during a real incident. 

Run 

With the SRE adoption model settled, AHEAD and the client have continued expanding enablement. SRE starter kits help with adoption rates. Incident simulations prepare teams for future onboarding waves as additional application teams join the new model. In the meantime, teams already using the model can keep improving the way they map dependencies, review error budgets, and tune dashboards, based on incident data. 

How It Kept Delivering: The SRE model is reliable and designed to continuously improve even as it expands across additional services, products, and global operations.  

No More Surprises 

Reliability and continuous improvement are now enterprise-wide capabilities. 

By the Numbers. Weekly on-call noise was reduced by 30%, while resource-contention alerts were reduced by more than 50%. 

Attention Where It Matters Most. Application-specific SLOs and dashboards improved the ability of teams to understand system behavior and identify the source of problems more quickly. Engineers could focus on issues that required human intervention. 

A Shared Response Model. Cross-functional communication channels have made it easier for teams to coordinate across application development, infrastructure, and incident response teams. 

What’s Next 

The next phase will see broader automation across infrastructure and application teams, with predictive incident detection through AI/ML-enabled observability. Digital products have to be reliable in how they’re designed, released, and operated, without sacrificing resilience. For organizations stuck between digital acceleration and operational complexity, AHEAD brings together observability, platform engineering, and operational excellence for reliability that scales with business.