Chart-operator Alternatives

Similar projects and alternatives to chart-operator

falco

42 6,895 9.8 C++ chart-operator VS falco

Cloud Native Runtime Security
kubectl-gs

2 48 9.3 Go chart-operator VS kubectl-gs

kubectl plugin helping with custom resources by Giant Swarm
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
tor-controller

3 91 6.5 Go chart-operator VS tor-controller

Tor toolkit for Kubernetes (Tor instances, onion services and more) (by bugfest)
happa

1 21 9.2 TypeScript chart-operator VS happa

Web user interface for Giant Swarm – Beyond managed Kubernetes
falcosidekick

2 510 9.5 Go chart-operator VS falcosidekick

Connect Falco to your ecosystem
apptestctl

1 0 8.6 Go chart-operator VS apptestctl

Command line tool for using the Giant Swarm app platform in integration tests.
db-operator

3 154 0.0 Go chart-operator VS db-operator

The DB Operator creates databases and make them available in the cluster via Custom Resource.
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better chart-operator alternative or higher similarity.

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chart-operator reviews and mentions

Posts with mentions or reviews of chart-operator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-10.

Manage Falco easier with Giant Swarm App Platform
6 projects | dev.to | 10 Aug 2022

The technology behind it is simple: Apps are packaged as Helm charts, can be configured with values, overridden with a different app configuration, etc. - whatever meets your needs. To deploy, a CRD (Custom Resource Definition) resource is created, interpreted by the App Operator (running on the managed cluster), assigned to the Chart Operator (running on the workload cluster), and in a few seconds, our application will be deployed on as many clusters as desired.