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What is Randoli?

Randoli functions as a holistic observability and cost management platform utilizing OpenTelemetry, specifically tailored for Kubernetes, multicloud, hybrid, and AI/ML environments. By integrating crucial aspects such as infrastructure health, application performance, logs, metrics, traces, incidents, and cloud spending into one central interface, it enables teams to transition from multiple tools to a cohesive perspective on system performance. Its federated design smartly separates the control plane from the data plane, which allows for localized telemetry analysis, extraction of relevant signals, and on-demand data access during investigations, all while reducing ingestion and egress and maintaining data sovereignty. Randoli effectively monitors a variety of components, including clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource utilization across various platforms like AWS, Azure, Google Cloud, OpenShift, and local environments. Furthermore, it employs OpenTelemetry and eBPF for seamless, low-overhead instrumentation, which not only improves filtering and enriches telemetry but also facilitates real-time signal correlation, thereby enhancing overall observability. This cutting-edge methodology not only simplifies operational insights but also equips teams with the tools they need to proactively oversee performance and manage costs effectively within their cloud infrastructures. By adopting such an integrated approach, organizations can foster greater agility and responsiveness in their operations.

What is OpenTelemetry?

OpenTelemetry offers a comprehensive and accessible solution for telemetry that significantly improves observability. It encompasses a collection of tools, APIs, and SDKs that facilitate the instrumentation, generation, collection, and exportation of telemetry data, including crucial metrics, logs, and traces necessary for assessing software performance and behavior. This framework supports various programming languages, enhancing its adaptability for a wide range of applications. Users can easily create and gather telemetry data from their software and services, and subsequently send this information to numerous analytical platforms for more profound insights. OpenTelemetry integrates smoothly with popular libraries and frameworks such as Spring, ASP.NET Core, and Express, among others, ensuring a user-friendly experience. Moreover, the installation and integration process is straightforward, typically requiring only a few lines of code to initiate. As an entirely free and open-source tool, OpenTelemetry has garnered substantial adoption and backing from leading entities within the observability sector, fostering a vibrant community and ongoing advancements. The community-driven approach ensures that developers continually receive updates and support, making it a highly attractive option for those looking to boost their software monitoring capabilities. Ultimately, OpenTelemetry stands out as a powerful ally for developers aiming to achieve enhanced visibility into their applications.

Media

Media

No images available

Integrations Supported

Kubernetes
Amazon Web Services (AWS)
OpenTelemetry
Red Hat OpenShift

Integrations Supported

Kubernetes
ASP.NET Core
Elixir
Express
Flue
Golf
Google Cloud Observability
Langtrace
Lucidic AI
ObserveNow
Onum
OpenLIT
Rust
Swift
Tracetest
bitdrift

API Availability

API Availability

Pricing Information

$0.04 per hour
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Randoli

Date Founded

2017

Company Location

Canada

Company Website

www.randoli.io

Company Facts

Organization Name

OpenTelemetry

Date Founded

2019

Company Website

opentelemetry.io

Categories and Features

AI Observability

Not specified

Cloud Monitoring

Not specified

Observability

Not specified

Categories and Features

Observability

Not specified

Telemetry

Not specified

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