- Gain Visibility Across Your Infrastructure
- Optimize Cloud Cost Management
- Increase Resource Utilization
- Identify Cloud Risks
- Migrate to the Cloud
- Manage Hybrid and Multi-Cloud Environments
- Scale Your Cloud More Efficiently
- Centralize Cloud Governance
- Looking for a solution specific to your industry?
- Contact Us
Harness your cloud, multi-cloud, and hybrid environments
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FROM YOUR CLOUD
Using open APIs, CloudHealth gives you flexibility in data collection to support your deployment model. With the cloud-only solution, CloudHealth automatically collects data from hosted services using our internally managed auto-scaled infrastructure. We’ll continuously aggregate data from AWS, Azure, and Google, so you have access to the data you need, when you need it, for reliable decision making.
The CloudHealth Aggregator enables you to deploy an agentless collector to infrastructure that’s under your control. It can collect from both hosted and local systems (e.g. Puppet) and also provides a credential vault to allow on-premises storage of account information.
Our agent-based solution enables you to deploy endpoint agents to running cloud instances, in order to gather local configuration and performance information. Get visibility into key metrics beyond CPU and network, such as disk, memory, and more, with CloudHealth’s lightweight, free agent.
The pace of change in the cloud is prolific. That has been an enabler and also a tax... CloudHealth gives us a single view, so if we get a cryptic error message we can quickly find out – well, what account was responsible for that? Who owns that resourceFig. 2 | Zachary Stevens, Co-Founder & Chief Architect, Elastera
GET MORE FROM CLOUDHEALTH DATA COLLECTION
Copy: Import or export data from CloudHealth with ease. Getthe freedom to add custom data sources to your CloudHealth environment, or leverage CloudHealth data for analysis and correlation outside the platform.
You can both push performance metrics to CloudHealth and interactively retrieve metrics for specific resources, time periods and time granularity (e.g. hourly, daily, monthly). Documentation on the CloudHealth metrics API is available on Github.
Data is never locked in one platform, nativelyexport CloudHealth reports to Google Docs, a CSV, or an image.. Use the CloudHealth platform API to access data programmatically and leverage other tools like Domo or export the data to your own systems. We make it easy to securely access your data using a programming language of your choice. We include samples in common languages (e.g. Python, Ruby, Node.js) to get you started.