name: IDE Experience team notifier
run-name: Notify the IDE Experience team about new RCs for manual testing
on:
  push:
    tags:
      - 'v*.*.*-RC1'

permissions: {}

jobs:
  send-slack-notification:
    runs-on: ubuntu-latest
    steps:
      - name: Send Slack notification about new RCs for manual testing
        id: slack
        uses: slackapi/slack-github-action@v1.23.0
        with:
          payload: |
            {

name: IDE Experience team notifier
run-name: Notify the IDE Experience team about relevant issues
on:
  issues:
    types:
      - labeled

permissions: {}

jobs:
  send-slack-notification:
    if: ${{ github.event.label.name == 'in:ide' || github.event.label.name == 'in:eclipse-plugin' || github.event.label.name == 'in:idea-plugin' || github.event.label.name == 'in:tooling-api' }}
    runs-on: ubuntu-latest
    steps:

/install/                                                        @istio/wg-environments-maintainers
/istioctl/                                                       @istio/wg-user-experience-maintainers @istio/wg-networking-maintainers
Makefile*                                                        @istio/wg-test-and-release-maintainers

.github/workflows/gitstream.yml     @tresat

# IDE Experience team
platforms/ide/                    @gradle/bt-ide-experience
# Eventually be moved to the core platform.
# Currently heavily developed by the bt-ide-experience team.
platforms/ide/problems/           @gradle/bt-ide-experience
platforms/ide/ide-native/         @gradle/bt-ide-experience @gradle/bt-native-maintainers

# Documentation

### Editor support

All the framework was designed to be easy and intuitive to use, all the decisions were tested on multiple editors even before starting development, to ensure the best development experience.

However, while we chose to use the xDS *transport protocol*, we chose to not use the xDS resource types, such as Clusters and Listeners.
In our experience and testing, these types force us to represent data in inefficient ways because they are general purpose.
Ztunnel is not general purpose; it has an extremely tight goal.

Later you will see how **powerful** it can be.

!!! tip
    The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

    And also that your code will be very compatible with many other Python tools and libraries. 🚀

## Type hints in **FastAPI**

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.

package manager. ## Prerequisites - Helm cli with Kubernetes cluster configured. - PV provisioner support in the underlying infrastructure. (We recommend using <https://github.com/minio/direct-csi>) - Use Kubernetes version v1.19 and later for best experience. ## Configure MinIO Helm repo ```bash helm repo add minio https://charts.min.io/ ``` ### Installing the Chart Install this chart using: ```bash helm install --namespace minio --set rootUser=rootuser,rootPassword=rootpass123 --generate-name minio/minio...

				if took > maxRefreshDurationSecondsForLog {
					// Log if we took a lot of time.
					logger.Info("Site replication healing refresh took %.2fs", took)
				}

				// wait for 200 millisecond, if we are experience lot of I/O
				waitForLowIO(runtime.GOMAXPROCS(0), 200*time.Millisecond, currentHTTPIO)
			}
			healTimer.Reset(siteHealTimeInterval)

		case <-ctx.Done():
			return
		}
	}
}