Managed Enterprise Prometheus Monitoring
Prometheus monitoring that is radically simple and fully compatible
Why Prometheus?
Prometheus is transforming observability for cloud native applications and services. As an open source project, Prometheus offers a standard way to collect, store, and query metrics across containers, Kubernetes, services, and applications. Since Sysdig Monitor is fully compatible with Prometheus, customers can take advantage of enterprise features without sacrificing their investment in the Prometheus ecosystem.
Prometheus Monitoring Use Cases
Managed Prometheus Service
Sysdig Monitor provides a fully managed Prometheus service with enterprise features for Prometheus monitoring. You can use Prometheus Query Language queries for dashboards and alerts, or the Prometheus API for scripted queries, as part of a DevOps workflow. Users can take advantage of our built-in agent scraping, simplified querying, troubleshooting, correlation, and support that we provide as part of Sysdig Monitor for a complete Prometheus monitoring solution.
Dashboards & Querying
Use a simple form-based approach to query your Prometheus time series, or use the powerful Prometheus Query Language (PromQL) to build dashboards and alerts. Sysdig Monitor adds intelligent labels automatically to simplify and speed up the process of querying metrics while maintaining Prometheus compatibility.
Prometheus Alerting
Managing alerts with Prometheus Alertmanager can be error prone, costly to maintain, and overly complex. With Sysdig Monitor, you can set alerts for Prometheus monitoring metrics and get automated notifications of application issues across clusters, namespaces, containers, hosts, or the entire environment. Use PromQL or form-based selection to set up new alerts or import existing PromQL alerts to minimize setup time.
Simplified Configuration & Maintenance
Sysdig Monitor makes it easy to configure and maintain Prometheus monitoring. Our agent can scrape metrics to avoid deploying Prometheus servers. Services are automatically detected and you can easily deploy Prometheus exporters to make sure you have visibility into applications and infrastructure. You can monitor edge, loT, legacy, or serverless environments by using Prometheus remorte_write functionality. Extend your current Prometheus environment to Sysdig for long-term time series retention.
Enterprise Controls & Compliance
Sysdig Monitor provides a view into total cost of ownership as well as consolidated long-term storage, opposed to a federated siloed approach. Enable secure user authentication with industry-standard protocols, including LDAP, Google Oauth, SAML, and OpenID. Configure Sysdig Teams to isolate and secure resources with service-based access control. Our SaaS-based approach helps companies meet their compliance requirements.
Promcat.io
PromCat.io is a growing curated catalog of Prometheus monitoring integrations that offers configuration, documentation and official customer support by Sysdig.
“We have built so much around Prometheus, and with Sysdig, we are able to really use those metrics. Sysdig’s support of Prometheus is unique, along with its support for PromQL.”
BERND MALMQVIST
PRINCIPAL CONTAINER PLATFORM ENGINEER, WORLDPAY
Frequently Asked Questions
Q: What is Prometheus monitoring?
A: Prometheus monitoring is the practice of using Prometheus to collect and store information about Kubernetes, services, and applications. You can analyze this information to get details about the health and performance of your infrastructure and applications.
Q: Why is Prometheus monitoring essential?
A: Prometheus is an open standard. By collecting metrics using Prometheus organizations can avoid vendor lock-in while having more control about how they collect important data. Since Sysdig Monitor is fully compatible with Prometheus, customers can take advantage of enterprise features without sacrificing their investment in the Prometheus ecosystem.
Q: How does Prometheus monitoring work?
A: Prometheus collects and stores its metrics as time series data, i.e. metrics information is stored with the timestamp at which it was recorded, alongside optional key-value pairs called labels.
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