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Industries
Industries We Serve
Cross-industry engineering experience across regulated and high-growth sectors.
All IndustriesSuccess Story
Enhancing Visibility and Reliability in Job Processing
A new telemetry framework enabled the client to monitor, debug, and scale asynchronous workloads.
Full job
lifecycle logging with no more “vanishing” jobs.
Granular tagged metrics
with queue- and job-level visibility for precise performance monitoring.
Technologies
Ruby
Ruby on Rails
Sidekiq
Datadog
Expertise
Monitoring
Infrastructure as code
Back-end engineering
DevOps
Client Overview
Construction Software Leader
A global technology company serving the construction industry, supporting contractors, owners, and developers in managing complex projects across international markets. The business focuses on improving collaboration, operational efficiency, and decision-making at scale, while prioritizing consistency and performance across its growing digital ecosystem.
Industries:
Construction SaaS, Project management software
Country:
USA
Challenges
Limited Observability in Job Processing
Client relied on Sidekiq for background and scheduled tasks, but insufficient visibility into job performance and failures created operational risk.
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Lack of transparency
Missing data on latency, job counts, and durations hindered tuning.
Debugging gaps
Failures and “vanishing” jobs were hard to trace.
Infrastructure blind spots
Lack of throughput metrics complicated scaling decisions.
Unclear prioritization
Without fine-grained tagging, jobs could not be effectively isolated or reprioritized.
Have a Similar Problem?
Let’s design observability that makes your systems reliable and debuggable.
Why They Chose Us
Expertise in Rails and Enterprise Observability
Client trusted Zoolatech’s combination of Rails upgrade expertise and DevOps observability practices.
Proven delivery excellence
Zoolatech brings a consistent record of delivering complex software for global enterprises—combining engineering discipline with a focus on uptime, scalability, and measurable results.
Expertise in enterprise-grade software
Client selected Zoolatech for our proven ability to design, build, and scale reliable systems that support business-critical operations.
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
Phased Approach to Sidekiq Telemetry
We delivered visibility and reliability improvements through structured phases.
Phase 1
Assessment and gap analysis
Identified missing observability in Sidekiq metrics and logs.
Phase 2
Metric design
Defined standardized Sidekiq namespace metrics (latency, duration, counts, queue size).
Phase 3
Tagging framework
Applied consistent infra, job, and error tags across metrics.
Phase 4
Enhanced logging
Implemented full job lifecycle logs (enqueued → completed/failed).
Phase 5
Integration and migration
Phased migration to Datadog and deprecation of sidekiq-datadog.
By bringing real visibility into every job’s journey, the team transformed unstable workloads into predictable, debuggable, and reliably monitored operations.
Solution
Telemetry Framework for Observability
Procore gained full visibility into Sidekiq through standardized metrics and enriched logs.
Tagged metrics framework
Unified Sidekiq metrics under a consistent namespace, tracking latency, durations, queue size, and job outcomes at both queue and job levels.
Lifecycle logging
Structured logs now capture each stage of a job’s lifecycle, enriched with job IDs, arguments, retries, and errors—ending the problem of “vanishing jobs.”
Migration roadmap
A phased rollout integrated metrics into Datadog and safely retired legacy telemetry, ensuring adoption without disruption.
Results
Reliable and Actionable Monitoring
By bringing real visibility into every job’s journey, the team transformed unstable workloads into predictable, debuggable, and reliably monitored operations.
The new telemetry framework empowered the client's teams with data-driven operations.
Zero vanishing jobs
Lifecycle logging ensured every job was traceable from enqueue to completion. Failures, retries, and abandoned jobs could now be diagnosed quickly, cutting mean time to resolution and eliminating wasted engineering cycles.
Actionable metrics
Tagged metrics made it possible to distinguish job types, isolate queues, and set meaningful SLOs. Teams could finally prioritize critical workloads, spot unusual latency patterns, and prevent small errors from cascading into service-wide issues.
Operational confidence
With precise insights into throughput, latency distributions, and queue depth, infrastructure teams could scale Sidekiq predictively. Instead of reacting to slowdowns, they could plan capacity and tune queues in advance, ensuring consistent performance even during peak loads.
Business Value
Turning Observability into Reliability
The telemetry upgrade gave engineers confidence and transformed how Procore manages background job performance.
Faster root cause analysis
Engineers no longer need to piece together partial logs or guess at why jobs failed. Full lifecycle traces mean that investigations take minutes instead of hours or days, enabling quicker recovery and improved developer productivity.
Resilient infrastructure
With reliable, tagged metrics and predictive dashboards, the client can plan scaling strategies with confidence. This resilience translates into consistent system performance under heavy loads, fewer customer-facing disruptions, and reduced operational overhead.
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