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README.md
</a> --- Istio is an open source service mesh that layers transparently onto existing distributed applications. Istio’s powerful features provide a uniform and more efficient way to secure, connect, and monitor services. Istio is the path to load balancing, service-to-service authentication, and monitoring – with few or no service code changes. - For in-depth information about how to use Istio, visit [istio.io](https://istio.io)
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docs/metrics/healthcheck/README.md
## Liveness probe This probe always responds with '200 OK'. Only fails if 'etcd' is configured and unreachable. When liveness probe fails, Kubernetes like platforms restart the container. ``` livenessProbe: httpGet: path: /minio/health/live port: 9000 scheme: HTTP initialDelaySeconds: 120 periodSeconds: 30 timeoutSeconds: 10 successThreshold: 1 failureThreshold: 3 ``` ## Readiness probe
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cni/README.md
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mockwebserver/README.md
testing timeouts and interactive testing. ```java response.throttleBody(1024, 1, TimeUnit.SECONDS); ``` #### RecordedRequest Verify requests by their method, path, HTTP version, body, and headers. ```java RecordedRequest request = server.takeRequest(); assertEquals("POST /v1/chat/send HTTP/1.1", request.getRequestLine());
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manifests/charts/istio-cni/README.md
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docs/ftp/README.md
--sftp="address=:3022" ``` ### TLS (FTP) Unlike SFTP server, FTP server is insecure by default. To operate under TLS mode, you need to provide certificates via ``` --ftp="tls-private-key=path/to/private.key" --ftp="tls-public-cert=path/to/public.crt" ``` > NOTE: if MinIO distributed setup is already configured to run under TLS, FTP will automatically use the relevant
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README.md
The TensorFlow project strives to abide by generally accepted best practices in open-source software development. ## Patching guidelines Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: * Clone the TensorFlow repo and switch to the corresponding branch for your
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docs/extensions/s3zip/README.md
Accessing to contents inside an archive can be done using regular S3 API with a modified request path. You just need to append the path of the content inside the archive to the path of the archive itself. e.g.: To download `2021/taxes.csv` archived in `financial.zip` and stored under a bucket named `company-data`, you can issue a GET request using the following path 'company-data/financial.zip/2021/taxes.csv` ## Contents properties
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docs/logging/README.md
tls (on|off) set to 'on' to enable TLS tls_skip_verify (on|off) trust server TLS without verification, defaults to "on" (verify) client_tls_cert (path) path to client certificate for mTLS auth client_tls_key (path) path to client key for mTLS auth version (string) specify the version of the Kafka cluster comment (sentence) optionally add a comment to this setting ```
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docs/debugging/README.md
object, for example placed at `ALIAS/bucket/path/to/file.txt` append `/xl.meta`, for instance `mc support inspect ALIAS/bucket/path/to/file.txt/xl.meta`. All files can be collected, so this can also be used to retrieve `part.*` files, etc. Wildcards can be used, for example `mc support inspect ALIAS/bucket/path/**/xl.meta` will collect all `xl.meta` recursively. `mc support inspect ALIAS/bucket/path/to/file.txt/*/part.*` will collect parts for all versions for the object located at `buc...
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