Observability - Monitoring, Logging & Alerts
We audit and build your monitoring stack, logging pipelines, and alerting systems so you know exactly where visibility gaps exist. You get a clear understanding of what blind spots are costing you, and the fastest path to full observability coverage.
Make Your Systems Transparent and Traceable
Most engineering teams discover the gaps in their observability only after a Tier-1 incident spirals. Our Observability Assessment identifies those blind spots in your monitoring, logging, and alerting before they escalate into outages. We replace chaotic troubleshooting with structured, reliable workflows, drastically reducing alert fatigue and Mean Time to Resolution (MTTR). You’ll walk away with a prioritized, high-impact roadmap your team can execute on Day 1.
CUSTOMER STORIES
Client Results and Success
Retail Platform for the Nordic Market
We re-engineered the infrastructure using a lightweight Kubernetes (K3s) architecture to make production MVPs scale-ready while keeping operational overhead low. The setup enabled automated deployments, environment parity, and cloud-agnostic scalability from day one.
Production-Ready Kubernetes Architecture
The platform was designed to support scalable production deployments with minimal resource consumption, enabling faster environment provisioning and operational stability.
3
environments K8s setup
95%
environments K8s setup
35%
savings over managed Kubernetes alternatives
Healthcare SaaS Platform
We modernized Dentify’s onboarding workflows by introducing AI-driven automation and optimizing backend workflows, reducing friction in doctor onboarding and improving operational efficiency.
40% Faster Onboarding Completion
The redesigned system achieved a 40% reduction in onboarding completion time, directly improving platform adoption and reducing operational bottlenecks.
35%
Improvement in the doctor's efficiency for treatment planning
40%
Reduction in onboarding completion time
Property Inspection Platform
We built a scalable backend architecture supporting AI chatbots, QR-based workflows, and production-grade RAG pipelines to automate property inspections and reporting.
Production-Grade AI Infrastructure
The system supports scalable AI inference and automated inspection workflows, reducing manual intervention and enabling consistent performance under growing usage.
AI-Driven Meal Recommendation Platform
We optimized the deployment and iteration pipeline for AI features by improving backend scalability and release workflows, enabling faster experimentation and rollout.
3× Faster Feature Iteration
The platform achieved 3x faster AI feature iteration cycles, significantly reducing time-to-release for new recommendation
40%
Reduction in meal decision time
2x
Increase in daily active usage during pilot
Enterprise Validation Platform
We automated validation workflows using AI agents and BPM-driven orchestration, reducing reliance on manual review processes.
50% Fewer Manual Validation Cycles
The system achieved a 50% reduction in manual validation cycles, improving throughput and accelerating delivery timelines.
50%
Reduction in manual validation cycles
50%
Faster internal testing workflows
Consumer Commerce Platform
We restructured the cloud infrastructure and optimized AWS resource usage without impacting availability, performance, or SLAs.
60% Cloud Cost Reduction
The platform achieved a 60% reduction in monthly cloud costs while maintaining uptime and transaction stability during and after optimization.
$4,800
Saved per month
$57,000+
Annual savings
WHAT WE DO
Our Observability Assessment Covers Three Core Areas
We don't just scan your environment; we audit your architecture. Our engineers perform a deep-system review across three pillars: Instrumentation Coverage, Pipeline Efficiency, and Threshold Maturity.
This gives you a big picture in of your instrumentation configs, log aggregation logic, and dashboard queries alongside your team. We identify exactly where your telemetry is bulletproof and where your "signal" is just expensive noise. The result is a granular gap analysis and a technical blueprint for a high-fidelity observability stack.
Monitoring Coverage Review
Logging Infrastructure Assessment
Alerting Maturity Review
General Issues We Encounter During Our Observability Assessment Engagements
15-40 min
Spent in just issue hunting
75%
Alters are only informational
40%
No distributed tracing
50%
Ingested data never queried
Our Promise
Fixes and Improvements We Provide
Our observability assessment process tells you exactly where your visibility breaks down. The report delivered brings you clarity and gives a prioritized plan to close the gaps.
Clear Ownership When Things Break
Know exactly which service failed, why it failed, and who responds — so incident recovery follows a process, not instinct.
Ship with Confidence, Not Anxiety
Eliminate the uncertainty that comes with deploying blind. Full observability means you see the impact of every release in real time.
Make Every Environment Fully Visible
Bring logging, metrics, and tracing into alignment across dev, staging, and production so no environment is a black box.
Stop Paying for Observability That Doesn't Observe
Get a line-by-line view of your tooling spend so every dollar is tied to meaningful signal — not noise, duplication, or unused retention.
OUR RANGE OF IMPACT
Industries We Service
We build domain-aligned observability strategies that reflect the operational realities of each industry. Our approach is always to keep you future-ready and disruption-adaptive. We understand compliance demands, incident sensitivity, and the technical nuances of each sector. Every industry listed in our portfolio is not only for show — we are deeply involved in each one of them.
THE GEEKYANTS DIFFERENCE
DevOps Assessments by Engineering Teams that Have Built 1000+ Global Projects
Our experience from working on complex engineering projects has taught us that no two infrastructures are alike. However, the problems almost always are: misconfigured pipelines, invisible cost drains, environments that drift apart, and incident processes held together by institutional memory rather than documentation.
Our assessors bring pattern recognition that only comes from having seen it all. So your assessment isn't a generic checklist; it's a diagnosis built on real engineering experience.
Hands-on Engineers, Not Consultants
Our AI-enabled engineers and assessors have led observability transformations at scale.
Business-aware Reports and Results
Every gap is tied to MTTR, reliability impact, or hidden cost. Engineering solutions are always mapped to business outcomes.
Vendor-neutral Recommendations
We recommend what's right for your context — not what we sell. If a tool you already have can do the job, we'll tell you.
Actionable, Not Academic
The roadmap you receive is specific enough to hand directly to an engineer and start executing the same week.
Knowledge Transfer Included
We document every finding so your team fully owns the outcome — with complete clarity and no dependency on us after delivery.
Future Ready
Our Offerings in DevOps Consulting and Services
FEATURED CONTENT
Our Latest Thinking in DevOps
Discover the latest blogs on Our Latest Thinking in DevOps, covering trends, strategies, and real-world case studies.
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Feb 12, 2026Business
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Sep 9, 2025Business
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Jul 11, 2024Events
Streamlining DevOps with Ansible
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The Ethics of AI in DevOps: Transparency, Bias and Accountability
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FAQs
FAQs About DevOps Assessment Services
An Observability Assessment is a structured audit of your monitoring stack, logging pipelines, and alerting systems. It uncovers visibility gaps, noisy or missing alerts, and tooling inefficiencies — and delivers a prioritized roadmap your team can act on immediately.
Most engagements run between 2 and 4 weeks, depending on the number of services, the complexity of your logging and tracing setup, and how many environments require review. The timeline of the project can be more considering the complexity of the project.
We work within whatever boundaries your security policy allows. Read-only access to your monitoring dashboards, log pipelines, and alerting configs is typically sufficient to conduct a thorough assessment.
Minimal disruption. We typically need 2 to 3 working sessions with key engineers and access to your existing documentation. Most teams report spending fewer than 4 hours total across the entire engagement.
Especially for smaller teams. The less headcount you have, the more damage a single undetected incident or a misfiring alert can cause. An observability assessment helps you respond faster and build the right foundations before scale forces your hand.
You receive a written findings report, a prioritized improvement roadmap broken into 30, 60, and 90-day actions, an observability tooling cost audit, and a live readout session with your team to walk through everything in detail.
A consultant typically comes in to build or operate. An observability assessment is diagnostic first — we tell you what's broken, what's missing, and in what order to fix it, so you can make informed decisions about whether to act internally or bring in outside help.
We are vendor-neutral and work across Datadog, Grafana, Prometheus, New Relic, CloudWatch, and a wide range of logging platforms including the ELK Stack, Loki, and Splunk. Our recommendations are always based on what fits your context, not what we prefer.
That's entirely your call. Some clients take the findings and execute internally. Others engage us to help close specific gaps. Either way, the assessment stands alone as a complete, actionable deliverable.
On average, our assessments uncover 35% in recoverable observability tooling spend and identify alerting and logging gaps that cost engineering teams dozens of hours per month in unnecessary incident response. Most clients recover the cost of the assessment within the first 60 days of acting on the roadmap.