The highlight of the Circonus spring 2020 release is a Kubernetes monitoring solution that provides health-based alerting and horizontal pod auto-scaling. Additional enhancements include cloud monitoring, Google Cloud Platform (GCP) marketplace availability, performance improvements, and a more comprehensive Terraform integration. These enhancements make it possible to collect and analyze IT infrastructure, application, and container data at extreme scale across cloud, on-premises, and hybrid deployments — all in one platform.
The Circonus Kubernetes monitoring solution lets enterprises monitor one or more Kubernetes clusters. It provides turnkey dashboards and alerting for increased visibility into cluster performance and health and drives dynamic Kubernetes horizontal pod auto-scaling strategies that can be custom-tuned to the unique needs of an organization. Additional features include an easy-to-install agent; immediate, real-time operational and health dashboards; turnkey alerting for Kubernetes clusters to ensure health; health-check insights, such as crash loops, disk and memory pressure, job and volume failures, errors, pod pending delays, and deployment glitches; native StatsD collection support; and horizontal pod auto-scaling. What makes auto-scaling with Circonus unique is the ability to drive auto-scaling based on rich historical data analysis that customers have stored within Circonus — driving efficient, novel auto-scaling in a way that no other solution currently can. As a result, organizations can create dynamic auto-scaling strategies that will ensure optimal performance, reduce costs, and save time.
Circonus's IRONdb time-series database is now available in the GCP marketplace, empowering customers to run their own instances of Circonus IRONdb within their private clouds on GCP. Customers can still use the database's SaaS UI, and the offering enables a new pricing model that allows for unmetered metric ingestion.
The cloud monitoring solution includes a cloud agent that provides a lightweight binary through which to easily collect metrics from Amazon Web Services (AWS), Azure, and GCP, as well as in-application dashboards. Customers can instantly move all of their metrics from multiple clouds into a single platform, enabling them to run queries, set alerts, and compare data from a single place.
The Spring release also includes:
- Performance improvements: Customers can now run analytic queries upon thousands of application metrics in near real time for unprecedented visibility into application performance.
- Comprehensive Terraform integration: Extension, documentation, and other improvements have been made to Circonus's native Terraform provider.
- High availability metric ingestion: The Circonus cluster broker is designed to share the load of metric ingestion across multiple brokers, creating a fail-safe if one goes down.
- UI refresh: The UI has experienced a refresh with the addition of dark mode as well as responsive behavior across mobile devices.
