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What is IPFS Cluster?

IPFS Cluster significantly improves data management across a network of IPFS daemons by overseeing the allocation, replication, and monitoring of a robust pinset that spans various peers. As IPFS offers users the ability to utilize content-addressed storage, the need for a permanent web brings forth the requirement for solutions that ensure data redundancy and availability while maintaining the decentralized nature of the IPFS Network. Acting as a complementary tool for IPFS peers, IPFS Cluster sustains a cohesive cluster pinset and smartly distributes its elements among different IPFS peers. The peers forming the Cluster establish a distributed network that upholds an organized, replicated, and conflict-free record of pins, ensuring reliability. Users can efficiently ingest IPFS content to multiple daemons at once, thereby boosting operational effectiveness. Furthermore, each peer within the Cluster provides an IPFS proxy API that carries out cluster functions while seamlessly imitating the behavior of the API from the IPFS daemon. Built using Go, the Cluster peers can be initiated and overseen programmatically, facilitating easier integration into current workflows. This feature empowers developers to tap into the complete capabilities of decentralized storage solutions, ultimately enhancing their projects' functionality and resilience. Additionally, the innovative design of IPFS Cluster fosters collaboration among users and developers alike, creating a more robust ecosystem for decentralized applications.

What is ContainIQ?

Our comprehensive solution enables you to monitor the health of your cluster effectively and address issues more rapidly through user-friendly dashboards that integrate seamlessly. With clear and cost-effective pricing, getting started is simple and straightforward. ContainIQ deploys three agents within your cluster: a single replica deployment that collects metrics and events from the Kubernetes API, alongside two daemon sets—one that focuses on capturing latency data from each pod on the node and another that handles logging for all pods and containers. You can analyze latency metrics by microservice and path, including p95, p99, average response times, and requests per second (RPS). The system is operational right away without requiring additional application packages or middleware. You have the option to set alerts for critical changes and utilize a search feature to filter data by date ranges while tracking trends over time. All incoming and outgoing requests, along with their associated metadata, can be examined. You can also visualize P99, P95, average latency, and error rates over time for specific URL paths, allowing for effective log correlation tied to specific traces, which is crucial for troubleshooting when challenges arise. This all-encompassing strategy guarantees that you have every tool necessary to ensure peak performance and rapidly identify any issues that may surface, allowing your operations to run smoothly and efficiently.

Media

Media

Integrations Supported

Docker
Ethereum
Filecoin
IPFS
Netdata

Integrations Supported

Kubernetes
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$20 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

IPFS Cluster

Company Website

cluster.ipfs.io

Company Facts

Organization Name

ContainIQ

Company Location

United States

Company Website

www.containiq.com

Categories and Features

IPFS Pinning

Not specified

Categories and Features

Cloud Monitoring

Not specified

Container Monitoring

Not specified

Observability

Not specified

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