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What is Shoreline?

Shoreline stands out as the sole cloud reliability platform that enables DevOps engineers to create automations in just minutes while permanently resolving issues. Its state-of-the-art "Operations at the Edge" architecture deploys efficient agents to run seamlessly in the background on every monitored host. These agents can function as a DaemonSet within Kubernetes or as an installed package on virtual machines (using apt or yum). Additionally, the Shoreline backend can either be hosted by Shoreline on AWS or set up in your own AWS virtual private cloud. With sophisticated tools designed for top-tier Site Reliability Engineers (SREs), along with Jupyter-style notebooks that cater to the wider team, troubleshooting and resolving issues becomes a straightforward task. The platform accelerates the automation creation process by an impressive 30 times, enabling operators to oversee their entire infrastructure as if it were a single entity. By handling the complex processes of establishing monitors and crafting repair scripts, Shoreline allows customers to focus on merely adjusting configurations to suit their specific environments. This comprehensive approach not only enhances efficiency but also empowers teams to maintain operational excellence with minimal effort.

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.

Media

Media

Integrations Supported

Docker
Amazon Web Services (AWS)
Ansible
Azure Kubernetes Service (AKS)
CentOS
Datadog
Google Cloud Platform
Grafana Cloud
Helm
Kubernetes
Omnistrate
Prometheus
Red Hat OpenShift
Slack
Terraform
Ubuntu
VMware vSphere

Integrations Supported

Docker
Ethereum
IPFS
Netdata

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Shoreline.io

Date Founded

2019

Company Location

United States

Company Website

www.shoreline.io

Company Facts

Organization Name

IPFS Cluster

Company Website

cluster.ipfs.io

Categories and Features

Cloud Management

Capacity Analytics
Cost Management
Multi-Cloud Management
Performance Analytics
Workflow Approval

Cloud Monitoring

Not specified

Debugging

Not specified

DevOps

Approval Workflow
Dashboard
Troubleshooting Reports

Incident Management

Audit Trail
Corrective Actions (CAPA)
IT Incident Management
Incident Reporting
Root-Cause Diagnosis

Incident Response

Automated Remediation
Compliance Reporting
Incident Alerting
Incident Database
Incident Logs
Incident Reporting
Security Orchestration
Timeline Analysis
Workflow Automation
Workflow Management

Issue Tracking

Dashboard
Issue Auditing
Recurring Issues

Log Management

Audit Trails

Network Monitoring

Diagnostic Tools
Real Time Analytics
Uptime Monitoring

Runbook Automation

Not specified

Server Management

CPU Monitoring
Database Servers
Virtual Machine Monitoring

Categories and Features

IPFS Pinning

Not specified

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