CircleCI announced insights and enhanced installation features to their
self-hosted server
offering at KubeCon NA 2021.
CircleCI's
self-hosted server solution offers software engineering teams the ability to
scale under load and run multiple services at once, all within an individual's
Kubernetes cluster and network, but with the full CircleCI cloud experience. It
increases privacy, efficiency, and collaboration across teams, which is
especially useful for teams working in healthcare, finance, and other
industries with high governance and compliance standards.
"Users
across telecommunications, manufacturing, defense and other highly-regulated
industries leverage Modzy to automate the deployment and monitoring of AI
models across their organizations. Not only do we use CircleCI's self-hosted
solution as part of our own DevOps processes, but we've also integrated it with
our MLOps pipelines to ensure easier and faster model deployment," said Nathan
Mellis, Head of Engineering, Modzy.
With
CircleCI server 3.2, users will have access to additional installation options
to further secure installation environments including HTTP proxy and SSL
termination, along with expanded functionality that provides access to
CircleCI's insights API and larger resource classes.
CircleCI's
insights API, powered by the 2.5 million jobs CircleCI's platform processes
each day, provides a detailed overview of the health and usage of users'
repository build processes. Metrics provided include time-series data such as
success rates, pipeline duration, as well as other pertinent information to
make better engineering decisions.
Other
benefits that CircleCI's self-hosted server solution provides include:
- Enterprise-level security. Users can achieve the strictest security, compliance,
and regulatory requirements with end-to-end control over their CircleCI
installation.
- Powerful developer tools and functionalities. Teams operating behind their own firewall now have the
ability to access CircleCI's full cloud experience and latest CircleCI features,
such as orbs, scheduled
workflows, matrix jobs, and more.
- Industry-leading maintenance and monitoring. Create a complete picture of your software delivery
tools with integration into existing infrastructure monitoring
solutions such as Datadog, Splunk, ELK stack, and more.
- Strong support for scale and performance. Operate at scale under heavy loads and automatically
leverage multiple core services at once within private networks. Ensure
deployment redundancy that turns P0s into p1s and keeps teams building.
- Flexible hosting options. Users can run their installations on Google Kubernetes
Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or a native
Kubernetes installation.