Azure-Driven Release Management and Deployment Modernization
99.999%
availability for main application components.
7X lower
storage costs and 10× savings with AKS vs Azure Functions.
Industries
Industries We Serve
Cross-industry engineering experience across regulated and high-growth sectors.
All IndustriesSuccess Story
Centralized Monitoring and Alerting System
Improved incident response and system reliability through unified observability powered by DataDog, PagerDuty, and SumoLogic.
Faster incident resolution
with integrated alerts and automated escalation.
Observability framework
gained real-time visibility across infrastructure and applications.
Technologies
SumoLogic
PagerDuty
DataDog
Jenkins
Confluence
Expertise
Monitoring & observability
DevOps
CI/CD
Infrastructure as Code
Integrations
Client Overview
Credible
Credible is a leading financial services platform that simplifies the process of comparing and managing loans. Operating in a highly regulated and reliability-critical industry, the company serves millions of users seeking transparent and efficient financial products. Maintaining trust and uptime is essential to both its brand and business performance.
Industries
FinTech
Headquarters
San Francisco, CA, USA
Company size
200+ employees
Challenges
Fragmented Monitoring Slowed Down Incident Response
Credible’s teams lacked a single view of system health. Alerts were scattered across tools and owned by individuals, leading to missed anomalies, slower triage, and reduced platform reliability.
Have a Similar Problem?
Evolve from reactive troubleshooting to predictive monitoring.
No centralized visibility
Monitoring data lived in multiple systems and personal folders, making it difficult to detect issues before they affected users.
Manual change management
Alert updates required manual configuration without version control or CI/CD integration, slowing deployment and increasing human error risk.
Unstructured alerting process
Alerts lacked standardization, documentation, and prioritization (P1 vs. P2), leading to confusion and duplicated effort.
Delayed troubleshooting
Without correlated logs or dashboards, engineers spent more time diagnosing problems, which delayed recovery and impacted uptime.
Have a Similar Problem?
Evolve from reactive troubleshooting to predictive monitoring.
Why They Chose Us
Engineering Depth and Proven Delivery
Credible chose Zoolatech for the ability to design scalable, enterprise-grade monitoring architectures and integrate complex toolchains into existing CI/CD environments.
Deep observability expertise
Zoolatech had prior success implementing end-to-end monitoring frameworks using SumoLogic and PagerDuty, giving Credible confidence in both technical fluency and implementation speed.
Seamless DevOps integration
Our team’s experience with “alerts as code,” Jenkins pipelines, and infrastructure automation ensured the monitoring system could evolve with Credible’s continuous delivery practices.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.
2017
Year Founded
600+
Employees
96%
Client Satisfaction
Workflow
Structured Rollout of Unified Monitoring
A phased implementation ensured quick wins in observability while laying the foundation for scalable, automated alerting and proactive system management.
Phase 1
Assessment and architecture design
Zoolatech mapped Credible’s existing monitoring tools and data flows, identifying duplication, blind spots, and integration gaps across infrastructure and application layers.
Phase 2
Toolchain integration
SumoLogic, DataDog, and PagerDuty were integrated into a cohesive ecosystem, centralizing alert generation and escalation through consistent APIs and service-level logic.
Phase 3
Alerts-as-Code implementation
The team developed standardized alert definitions stored in version control and deployed via Jenkins CI pipelines—enabling automated updates and rollback capabilities.
Phase 4
Documentation and governance
A dedicated Confluence space and tagging system were created to enhance transparency around alert ownership, purpose, and priority (P1 vs. P2), thereby improving cross-team alignment.
Phase 5
Optimization and handoff
After initial deployment, monitoring dashboards and thresholds were refined to reduce false positives, enhance detection accuracy, and transition full ownership to Credible’s internal teams.
A unified monitoring framework reduced incident resolution time, increased uptime, and strengthened overall system reliability.
Solution
End-to-End Observability Across Systems and Services
Zoolatech implemented a unified monitoring solution that centralized alerting, logging, and performance tracking—giving Credible full visibility into system health and faster response to issues.
Integrated monitoring stack
DataDog, PagerDuty, and SumoLogic were connected to provide seamless data flow from detection to notification, ensuring timely incident awareness and escalation.
Alerts as code
All alert configurations were codified and stored in version control, deployed automatically through Jenkins pipelines for consistency and rapid iteration.
Centralized knowledge hub
Alert documentation, priorities, and ownership were linked through Confluence, giving teams a searchable reference to streamline troubleshooting and prevent duplication.
Results
Faster Response, Higher Uptime, Stronger Trust
By unifying observability, Credible achieved faster incident detection, reduced operational friction, and greater confidence in platform stability.
Reduced mean time to acknowledge and resolve
Centralized monitoring and automated alerting enabled faster detection and escalation, significantly reducing MTTA (Mean Time to Acknowledge) and MTTR (Mean Time to Resolve) across critical services.
Increased platform reliability
Proactive monitoring and structured alert governance minimized downtime and improved service-level consistency for end users.
Higher developer productivity
Dashboards, automated alerts, and searchable documentation allowed engineers to diagnose and resolve issues faster, improving delivery velocity and morale.
Business Value
From Reactive Response to Predictive Operations
The new monitoring framework gave Credible’s engineering and operations teams greater control, confidence, and agility—turning observability into a strategic advantage.
Operational confidence
Teams can now detect, prioritize, and address incidents proactively, ensuring uninterrupted service and preserving customer trust in a reliability-driven financial ecosystem.
Sustainable scalability
With alerts-as-code and CI/CD integration, Credible can extend its monitoring coverage to new systems and services without compromising governance or speed.
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