lohaist.blogg.se - Pritunl gravitational

#Pritunl gravitational update#
#Pritunl gravitational code#

tests and looping are done via jq ( validating json schema ).

i am using json file to define projects.

Of course it does not exist, currently I am using bunch of scripts, buts its not so good.

validate projects -> if contains specific files.

to timeout if command/taks is taking more than X seconds.

#Pritunl gravitational code#

to do retries if error code of command/task != 0.

to do basic conditions, like if multiple projects change detected then exit fi.

to detect changes in projects ( this will help to determine specific project to change in CI pipeline triggered by MR/PR ) via git diff.

I am looking for some tool ( nonexistant ) that is able to define projects in git monorepo ( similar to workflows in atlantis ) by fs path for example in yaml, json, etc ( I am using Gitlab CI, btw) Ensure the security group in the Elastic Network Interface (ENI) associated with the task has rules to allow traffic from the task to VPC endpoints. Ensure the AWS Secrets Manager or Systems Manager AWS VPC endpoint interfaces are added to the VPCs and subnets that are used by ECS services or ECS tasks that run on Fargate.ģ. Add ecr.api to their Amazon ECR VPC endpoint.Ģ.

If you do not use VPC endpoints for Amazon ECR, AWS Secrets Manager or AWS Systems Manager no action is necessary.Ĭustomers who have set up VPC endpoints for Amazon ECR, AWS Secrets manager or AWS Systems Manager need to perform below steps:ġ. For customers who use Amazon VPC Endpoints along with their ECS tasks running on Fargate, the new platform version has changes that may require customer action. This means all new Amazon Elastic Container Service (ECS) Tasks or ECS Services that use the Fargate launch type and have the platformVersion field in their Task Definition set to LATEST will automatically resolve to PV 1.4.0.

#Pritunl gravitational update#

In the coming few months, AWS Fargate will update the LATEST flag to Platform Version (PV) 1.4.0. Subject: AWS Fargate Platform Version LATEST Flag Update The other option i think i’m most likely to implement because it’s fast and easy is just using a separate deployment in the same cluster and weighted dns to serve some small percentage of traffic to a canary deployment and continuously deploy there first. i suspect armory is above what i’m able to pay for a saas-type solution, and with limited time to focus on this specifically, flagger ( service mesh) and spinnaker ( learning curve/setup/maintenance?) i suspect is just overkill. Some of the options i’ve considered ( from cncf landscape) are flagger ( requires service mesh) and spinnaker ( gold standard? heavy weight). we use kubernetes and some folks use a service mesh, but not all, and we don’t always use the same clusters for various reasons. what do you guys use for continuous delivery/continuous integration/continuous release? i work at a smallish (~100 people) company and we’re generally jamming pretty hard on delivering product features instead of focusing on infrastructure.