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Unified Observability for Kubernetes and Cloud-Nat

bebliTech is a cloud observability services company helping engineering teams get full visibility across Kubernetes, multi-cloud and AI workloads. We design and deploy unified observability platforms using OpenTelemetry, replacing reactive monitoring with proactive insight across metrics, traces and logs. We work with startups, mid-size companies and global enterprises across AWS, GCP and Azure. Vendor neutral, no lock-in, built for your stack.

  • Min project size
    $5,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    2 - 9
  • Locations
    Bhubaneswar, India
  • Year founded
    Founded 2026

1 Locations

  • Bhubaneswar , India

Service Lines
Cloud Consulting & SI
40%
DevOps Managed Services
25%
AI Consulting
20%
IT Managed Services
15%

No Focus Areas have been added yet…

Industries
Information technology
40%
Business services
20%
Financial services
20%
Medical
10%
Telecommunications
10%
Clients
Small Business (<$10M)
50%
Midmarket ($10M - $1B)
35%
Enterprise (>$1B)
15%

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Our Story

bebliTech is led by a Principal Cloud Architect with 22 years of enterprise experience across IBM, Capgemini, Cognizant and Vodafone. We specialize in designing and deploying unified observability platforms for engineering teams running Kubernetes, multi-cloud and AI workloads. We are tool-agnostic, vendor neutral and focused on solving real production visibility problems, not selling platforms.

What Sets Us Apart

Production-Proven Expertise

Every recommendation we make has been tested in real production environments across global enterprises. No theoretical approaches, no generic templates.

Vendor Neutral by Design

We are not tied to any platform or tool vendor. We recommend what fits your stack, your scale and your budget, not what we are paid to push.

Observability Beyond Monitoring

We replace reactive alert-based monitoring with unified observability across metrics, traces and logs, giving your team real visibility before incidents happen.

Tools and Technology

Prometheus
New Relic
Terraform
Datadog
AWS
Azure
Azure DevOps
Kubernetes
Grafana
GitHub
Google Cloud Platform
Splunk

Commonly Asked Questions

We work across AWS, Google Cloud Platform and Microsoft Azure. Most of our engagements involve multi-cloud or hybrid deployments where unified observability across providers is the actual challenge. We also support on-premises Kubernetes and edge deployments where applicabl

es. AI and LLM workloads need observability beyond traditional APM, including GPU utilization, model inference latency, token throughput and cost per inference. We design observability for teams running AI workloads in production where performance and cost visibility are critical.

We are actively looking to work with engineering teams struggling with reactive monitoring, production blind spots and observability gaps across Kubernetes, multi-cloud and AI workloads. Our ideal engagements include greenfield observability platform builds, migrations from legacy monitoring tools to OpenTelemetry based unified observability, SRE practice setup with SLO definition and incident response runbooks, and AI and GPU workload visibility for teams running LLM inference in production. We work with startups, mid-size companies and global enterprises across US and EU markets. Remote and global engagements only

We start with a free 30-minute discovery call to understand your current stack, pain points and visibility gaps. From there we design a Five-Phase delivery plan covering evaluation, planning, design and setup, validation and go-live. All engagements are fully remote and we work closely with your engineering team throughout the process. We use async communication for day to day updates and scheduled calls for milestone reviews. We treat every engagement as a partnership, not a project handoff. Our goal is to leave your team with full ownership and understanding of the observability platform we build together.

Turnaround time depends on the scope and complexity of the engagement. A focused telemetry setup for a single Kubernetes cluster typically takes 2 to 4 weeks. A full unified observability platform covering multi-cloud, AI workloads and SRE practices takes 6 to 12 weeks. We provide a detailed timeline during the planning phase after the initial discovery call so you know exactly what to expect before any work begins.

Locations (1)

K8, Kalinga Nagar Bhubaneswar, India 751029

2 - 5

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