diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -21,9 +21,9 @@ ML-Ops scheduler & orchestration solution supporting Linux, macOS and Windows**
* Implement optimized resource utilization policies
* Deploy execution environments with either virtualenv or fully docker containerized with zero effort
* Launch-and-Forget service containers
-* [Cloud autoscaling](https://allegro.ai/clearml/docs/docs/examples/services/aws_autoscaler/aws_autoscaler.html)
-* [Customizable cleanup](https://allegro.ai/clearml/docs/docs/examples/services/cleanup/cleanup_service.html)
-* Advanced [pipeline building and execution](https://allegro.ai/clearml/docs/docs/examples/frameworks/pytorch/notebooks/table/tabular_training_pipeline.html)
+* [Cloud autoscaling](https://clear.ml/docs/latest/docs/guides/services/aws_autoscaler)
+* [Customizable cleanup](https://clear.ml/docs/latest/docs/guides/services/cleanup_service)
+* Advanced [pipeline building and execution](https://clear.ml/docs/latest/docs/guides/frameworks/pytorch/notebooks/table/tabular_training_pipeline)
It is a zero configuration fire-and-forget execution agent, providing a full ML/DL cluster solution.
@@ -122,7 +122,7 @@ The ClearML Agent executes experiments using the following process:
#### System Design & Flow
-
+
#### Installing the ClearML Agent
diff --git a/docs/clearml_architecture.png b/docs/clearml_architecture.png
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