diff --git a/test/README.md b/test/README.md
new file mode 100644
index 0000000000..c48822ba7a
--- /dev/null
+++ b/test/README.md
@@ -0,0 +1,55 @@
+# TorchServe Regression Tests
+
+This folder contains nightly regression tests execututed against TorchServe master.These tests use [POSTMAN](https://www.postman.com/downloads/) for exercising all the Management & Inference APIs.
+
+### Latest Test Run Status
+
+![Build Status](https://codebuild.us-east-1.amazonaws.com/badges?uuid=eyJlbmNyeXB0ZWREYXRhIjoiS1QvY3lIUEdUb3hZVWNnbmJ2SEZCdExRNmNkNW9EVk1ZaFNldEk4Q0h3TU1qemwzQ29GNW0xMGFhZkxpOFpiMjUrZVVRVDUrSkh2ZDhBeFprdW5iNjRRPSIsIml2UGFyYW1ldGVyU3BlYyI6IjlvcjRqSTNMTmNhcExZbUwiLCJtYXRlcmlhbFNldFNlcmlhbCI6MX0%3D&branch=staging_0_1_1)
+
+[Test Logs](https://torchserve-regression-test.s3.amazonaws.com/torch-serve-regression-test/tmp/test_exec.log)
+
+### Running the test manually.
+
+Clone Torch Serve Repo & Build the Docker Image for the execition env.
+
+```
+git clone https://github.com/pytorch/serve
+cd serve
+./build_image.sh
+```
+
+This would build a docker Image with a tag torchserve:1.0 in which we would run our Regression Tests.
+
+```
+docker run -it —user root torchserve:1.0 /bin/bash
+```
+
+In the Docker CLI execute the following tests.
+
+```
+apt-get update 
+apt-get install -y git wget
+git clone https://github.com/pytorch/serve
+cd serve 
+./test/regression_tests.sh
+```
+
+You can view the logs for Test execution & the Torch serve in the /tmp dir.
+
+```
+cat /tmp/test_exec.log
+cat /tmp/ts.log 
+```
+
+### Adding tests
+
+To add to the tests, import a collection (in /postman) to Postman and add new requests. Specifically to test for inference against a new model
+* Open inference_api_test_collection.json in POST man.
+* Clone an Register Model / Inferece Request combination.
+* Update URL & Model Payload.
+
+
+![POSTMAN UI](screenshot/postman.png)
+
+Afterwards, export the collection as a v2.1 collection and replace the existing exported collection.
+To add a new suite of tests, add a new collection to /postman and update regression_tests.sh to run the new collection and buldsepc.yml to keep track of the report.
diff --git a/test/buildspec.yml b/test/buildspec.yml
new file mode 100644
index 0000000000..eec7baf905
--- /dev/null
+++ b/test/buildspec.yml
@@ -0,0 +1,18 @@
+# Build Spec for AWS CodeBuild CI
+
+version: 0.2
+
+phases:
+
+  build:
+    commands:
+      - ./test/regression_tests.sh
+
+artifacts:
+  files:
+    - /workspace/report/management_report.html
+    - /workspace/report/inference_report.html
+    - /workspace/report/snapshot_report.html
+    - /tmp/ts.log
+    - /tmp/test_exec.log
+  name: TS-NIGHTLY-REGRESSION-$(date +%Y-%m-%d-%H:%M) 
diff --git a/test/postman/environment.json b/test/postman/environment.json
new file mode 100644
index 0000000000..355577a11d
--- /dev/null
+++ b/test/postman/environment.json
@@ -0,0 +1,34 @@
+{
+	"id": "68c53442-d6fa-4d54-bc03-e24f6ed313bf",
+	"name": "TorchServe",
+	"values": [
+		{
+			"key": "hostname",
+			"value": "localhost",
+			"enabled": true
+		},
+		{
+			"key": "protocol",
+			"value": "http",
+			"enabled": true
+		},
+		{
+			"key": "mgmt-port",
+			"value": "8081",
+			"enabled": true
+		},
+		{
+			"key": "model-name",
+			"value": "densenet161",
+			"enabled": true
+		},
+		{
+			"key": "pred-port",
+			"value": "8080",
+			"enabled": true
+		}
+	],
+	"_postman_variable_scope": "environment",
+	"_postman_exported_at": "2020-04-27T17:41:47.711Z",
+	"_postman_exported_using": "Postman/7.23.0"
+}
diff --git a/test/postman/inference_api_test_collection.json b/test/postman/inference_api_test_collection.json
new file mode 100644
index 0000000000..e1702ca4c2
--- /dev/null
+++ b/test/postman/inference_api_test_collection.json
@@ -0,0 +1,376 @@
+{
+	"info": {
+		"_postman_id": "a22a0432-717b-49c1-a3e1-53bf7541c487",
+		"name": "torchserve_regression_inference",
+		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
+	},
+	"item": [
+		{
+			"name": "Model Zoo - Register Text Classification",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "1c2662e6-d670-4a18-b6c6-2830eb28827f",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/my_text_classifier.mar&model_name=my_text_classifier&initial_workers=1&synchronous=true",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/my_text_classifier.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "my_text_classifier"
+						},
+						{
+							"key": "initial_workers",
+							"value": "1"
+						},
+						{
+							"key": "synchronous",
+							"value": "true"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Model Zoo - Inference Text Classification",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "c4c913b4-7a3d-4e1e-975c-35f0d5004655",
+						"exec": [
+							"pm.test(\"Status code is 200\", function () {",
+							"    pm.response.to.have.status(200);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"protocolProfileBehavior": {
+				"disabledSystemHeaders": {
+					"content-type": true
+				}
+			},
+			"request": {
+				"method": "POST",
+				"header": [],
+				"body": {
+					"mode": "file",
+					"file": {
+						"src": "../examples/text_classification/sample_text.txt"
+					},
+					"options": {
+						"raw": {
+							"language": "text"
+						}
+					}
+				},
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{pred-port}}/predictions/my_text_classifier",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{pred-port}}",
+					"path": [
+						"predictions",
+						"my_text_classifier"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Model Zoo - Register DenseNet",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "1c2662e6-d670-4a18-b6c6-2830eb28827f",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/densenet161.mar&model_name=densenet161&initial_workers=1&synchronous=true",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/densenet161.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "densenet161"
+						},
+						{
+							"key": "initial_workers",
+							"value": "1"
+						},
+						{
+							"key": "synchronous",
+							"value": "true"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Model Zoo - Inference - DenseNet",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "c4c913b4-7a3d-4e1e-975c-35f0d5004655",
+						"exec": [
+							"pm.test(\"Status code is 200\", function () {",
+							"    pm.response.to.have.status(200);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"protocolProfileBehavior": {
+				"disabledSystemHeaders": {
+					"content-type": true
+				}
+			},
+			"request": {
+				"method": "POST",
+				"header": [],
+				"body": {
+					"mode": "file",
+					"file": {
+						"src": "../examples/image_classifier/kitten.jpg"
+					},
+					"options": {
+						"raw": {
+							"language": "text"
+						}
+					}
+				},
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{pred-port}}/predictions/densenet161",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{pred-port}}",
+					"path": [
+						"predictions",
+						"densenet161"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Model Zoo - Register Model - SqueezeNet w Batch",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "1c2662e6-d670-4a18-b6c6-2830eb28827f",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/squeezenet1_1.mar&model_name=squeezenet1_1&initial_workers=1&synchronous=true&batch_size=2&max_batch_delay=200",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/squeezenet1_1.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "squeezenet1_1"
+						},
+						{
+							"key": "initial_workers",
+							"value": "1"
+						},
+						{
+							"key": "synchronous",
+							"value": "true"
+						},
+						{
+							"key": "batch_size",
+							"value": "2"
+						},
+						{
+							"key": "max_batch_delay",
+							"value": "200"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Model Zoo - Inference - SqueezeNet",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "c4c913b4-7a3d-4e1e-975c-35f0d5004655",
+						"exec": [
+							"pm.test(\"Status code is 200\", function () {",
+							"    pm.response.to.have.status(200);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"protocolProfileBehavior": {
+				"disabledSystemHeaders": {
+					"content-type": true
+				}
+			},
+			"request": {
+				"method": "POST",
+				"header": [],
+				"body": {
+					"mode": "file",
+					"file": {
+						"src": "../examples/image_classifier/kitten.jpg"
+					},
+					"options": {
+						"raw": {
+							"language": "text"
+						}
+					}
+				},
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{pred-port}}/predictions/squeezenet1_1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{pred-port}}",
+					"path": [
+						"predictions",
+						"squeezenet1_1"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Inference Endpoint - Ping",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "adab6847-8c88-4b41-9a43-aaa234cd45c7",
+						"exec": [
+							"pm.test(\"Status code is 200\", function () {",
+							"    pm.response.to.have.status(200);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{pred-port}}/ping",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{pred-port}}",
+					"path": [
+						"ping"
+					]
+				}
+			},
+			"response": []
+		}
+	],
+	"event": [
+		{
+			"listen": "prerequest",
+			"script": {
+				"id": "3d2732d6-14cf-4a16-809b-68777156679f",
+				"type": "text/javascript",
+				"exec": [
+					""
+				]
+			}
+		},
+		{
+			"listen": "test",
+			"script": {
+				"id": "90c609d2-601a-4035-bea7-23e0aa964cf7",
+				"type": "text/javascript",
+				"exec": [
+					""
+				]
+			}
+		}
+	],
+	"protocolProfileBehavior": {}
+}
diff --git a/test/postman/management_api_test_collection.json b/test/postman/management_api_test_collection.json
new file mode 100644
index 0000000000..28686cdd63
--- /dev/null
+++ b/test/postman/management_api_test_collection.json
@@ -0,0 +1,1246 @@
+{
+	"info": {
+		"_postman_id": "4d8b1327-d0b4-4e37-9544-06b57d9b480f",
+		"name": "torchserve_regression_management",
+		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
+	},
+	"item": [
+		{
+			"name": "Register Model",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "1c2662e6-d670-4a18-b6c6-2830eb28827f",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/squeezenet1_1.mar&model_name=squeezenet1_1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/squeezenet1_1.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "squeezenet1_1"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Get Valid Model",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "ecfbb15c-bc6d-4a32-8f9e-ff65db81ab0b",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/squeezenet1_1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"squeezenet1_1"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Get Model with Version",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "72072739-e588-4214-b4f7-3761c3861317",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/squeezenet1_1/1.0",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"squeezenet1_1",
+						"1.0"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Get Model - All Versions",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "cc0baaca-46eb-4cdc-a756-2d430cc71cdc",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/squeezenet1_1/all",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"squeezenet1_1",
+						"all"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "List Models",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "fd3e359f-fe11-4075-8977-f8a169d16fb4",
+						"exec": [
+							"pm.test(\"Successful POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Scale Min Workers - Asynchronous",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "aefbd490-f4f7-4d8a-9e8e-ad9489ab5784",
+						"exec": [
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+							"});"
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+					"protocol": "{{protocol}}",
+					"host": [
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+					"path": [
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+						"squeezenet1_1"
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+							"value": "3"
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+			"response": []
+		},
+		{
+			"name": "Scale Min Workers - Synchronous",
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+					"protocol": "{{protocol}}",
+					"host": [
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+							"value": "4"
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+							"value": "true"
+						}
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+			},
+			"response": []
+		},
+		{
+			"name": "Scale Min Workers for a Version",
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+					"script": {
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+							"});"
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+					"protocol": "{{protocol}}",
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+			"response": []
+		},
+		{
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+					"protocol": "{{protocol}}",
+					"host": [
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+					"protocol": "{{protocol}}",
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+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
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+					"path": [
+						"models",
+						"squeezenet1_1"
+					]
+				}
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+			"response": []
+		},
+		{
+			"name": "Register Model with Additional Params",
+			"event": [
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+					"listen": "test",
+					"script": {
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=squeezenet1_1.mar&model_name=squeezenet1_1&handler=serve/ts/torch_handler/image_classifier.py:handle",
+					"protocol": "{{protocol}}",
+					"host": [
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+					],
+					"port": "{{mgmt-port}}",
+					"path": [
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+					"query": [
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+							"value": "squeezenet1_1.mar"
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+							"value": "squeezenet1_1"
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+							"value": "serve/ts/torch_handler/image_classifier.py:handle"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Register Model with Batch Size",
+			"event": [
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+					"listen": "test",
+					"script": {
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+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/resnet-152-batch.mar&model_name=resnet152&batch_size=2",
+					"protocol": "{{protocol}}",
+					"host": [
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+					],
+					"port": "{{mgmt-port}}",
+					"path": [
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+					"query": [
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+							"value": "https://torchserve.s3.amazonaws.com/mar_files/resnet-152-batch.mar"
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+							"value": "resnet152"
+						},
+						{
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+							"value": "2"
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+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Register Model Intial Workers 0",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
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+						"type": "text/javascript"
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+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/vgg11.mar&model_name=vgg11&initial_workers=0",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/vgg11.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "vgg11"
+						},
+						{
+							"key": "initial_workers",
+							"value": "0"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Register Model Synchronous",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "073bc446-c12f-4a2d-8fa1-044914642de2",
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+							"    pm.expect(pm.response.code).to.be.oneOf([200]);",
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+						"type": "text/javascript"
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/resnet-18.mar&model_name=resnet18&synchronous=true",
+					"protocol": "{{protocol}}",
+					"host": [
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+					],
+					"port": "{{mgmt-port}}",
+					"path": [
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+							"value": "https://torchserve.s3.amazonaws.com/mar_files/resnet-18.mar"
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+							"value": "resnet18"
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+							"value": "true"
+						}
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+			"response": []
+		},
+		{
+			"name": "UnRegister Model",
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+							"});"
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+			"request": {
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+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"resnet18"
+					]
+				}
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+			"response": []
+		},
+		{
+			"name": "Register Resnet Model",
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=resnet-18.mar&model_name=resnet18&synchronous=false",
+					"protocol": "{{protocol}}",
+					"host": [
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+					],
+					"port": "{{mgmt-port}}",
+					"path": [
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+					],
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+							"value": "resnet-18.mar"
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+							"value": "resnet18"
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+							"value": "false"
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+			"response": []
+		},
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+					"script": {
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+			"request": {
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+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?limit=1",
+					"protocol": "{{protocol}}",
+					"host": [
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+					"port": "{{mgmt-port}}",
+					"path": [
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+							"value": "1"
+						}
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+			},
+			"response": []
+		},
+		{
+			"name": "List with Pagination",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?limit=1&next_page_token=1",
+					"protocol": "{{protocol}}",
+					"host": [
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+					"path": [
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+							"value": "1"
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?number_gpu=10",
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+							"value": "10"
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+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?min_worker=5&max_worker=5&synchronous=true",
+					"protocol": "{{protocol}}",
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+					"path": [
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+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?min_worker=6&max_worker=6&synchronous=false",
+					"protocol": "{{protocol}}",
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+			],
+			"request": {
+				"method": "PUT",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?timeout=-1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"resnet18"
+					],
+					"query": [
+						{
+							"key": "timeout",
+							"value": "-1"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Update Timeout to 0",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "13a0ea39-854a-4551-adf3-d1e1aac269d6",
+						"exec": [
+							"pm.test(\"Successful PUT request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([200,201,202]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "PUT",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?timeout=0",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"resnet18"
+					],
+					"query": [
+						{
+							"key": "timeout",
+							"value": "0"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Register Model - Invalid URL",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "66f910d7-cc2f-4b60-8f94-df8304dd399f",
+						"exec": [
+							"pm.test(\"Invalid URL POST request\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([400]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "POST",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?url=https://torchserve.s3.amazonaws.com/mar_files/invalid-resnet-18.mar&model_name=invalid-resnet18",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "url",
+							"value": "https://torchserve.s3.amazonaws.com/mar_files/invalid-resnet-18.mar"
+						},
+						{
+							"key": "model_name",
+							"value": "invalid-resnet18"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Get Model - Invalid Model",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "207f7c2b-1d69-4292-bb4f-31a3147fc43b",
+						"exec": [
+							"pm.test(\"Valid ERROR message\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([404]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/invalid_squeezenet1_1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"invalid_squeezenet1_1"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "List Models - Invalid Next Page Token",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "a97a22d6-1945-4992-81d0-e7508c5affa4",
+						"exec": [
+							""
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "GET",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models?next_page_token=12",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models"
+					],
+					"query": [
+						{
+							"key": "next_page_token",
+							"value": "12"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Update Worker with Invalid Worker Count",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "45736133-bb05-4dd7-80e9-f0d9f657a17f",
+						"exec": [
+							"pm.test(\"Valid ERROR message\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([400]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "PUT",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/resnet18?min_worker=10&max_worker=9",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"resnet18"
+					],
+					"query": [
+						{
+							"key": "min_worker",
+							"value": "10"
+						},
+						{
+							"key": "max_worker",
+							"value": "9"
+						}
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "Update Version - Invalid Model",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "7a7e5033-0d32-4b11-a53f-b6e2e4f7ba61",
+						"exec": [
+							"pm.test(\"Valid ERROR message\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([404]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "PUT",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/invalid_squeezenet1_1/1.0/set-default",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"invalid_squeezenet1_1",
+						"1.0",
+						"set-default"
+					]
+				}
+			},
+			"response": []
+		},
+		{
+			"name": "UnRegister Invalid Model Name",
+			"event": [
+				{
+					"listen": "test",
+					"script": {
+						"id": "b0a0fa12-2de1-474e-8869-33a7c5a0895d",
+						"exec": [
+							"pm.test(\"Valid ERROR message\", function () {",
+							"    pm.expect(pm.response.code).to.be.oneOf([404]);",
+							"});"
+						],
+						"type": "text/javascript"
+					}
+				}
+			],
+			"request": {
+				"method": "DELETE",
+				"header": [],
+				"url": {
+					"raw": "{{protocol}}://{{hostname}}:{{mgmt-port}}/models/invalid_squeezenet1_1",
+					"protocol": "{{protocol}}",
+					"host": [
+						"{{hostname}}"
+					],
+					"port": "{{mgmt-port}}",
+					"path": [
+						"models",
+						"invalid_squeezenet1_1"
+					]
+				}
+			},
+			"response": []
+		}
+	],
+	"event": [
+		{
+			"listen": "prerequest",
+			"script": {
+				"id": "35867f37-7b99-42a5-823e-1bde5ff3b207",
+				"type": "text/javascript",
+				"exec": [
+					""
+				]
+			}
+		},
+		{
+			"listen": "test",
+			"script": {
+				"id": "85a997ec-639c-4e3e-b685-a44799ed33d6",
+				"type": "text/javascript",
+				"exec": [
+					""
+				]
+			}
+		}
+	],
+	"protocolProfileBehavior": {}
+}
\ No newline at end of file
diff --git a/test/pytest/test_snapshot.py b/test/pytest/test_snapshot.py
new file mode 100644
index 0000000000..09d7b850a0
--- /dev/null
+++ b/test/pytest/test_snapshot.py
@@ -0,0 +1,90 @@
+import subprocess
+import time
+import os
+import glob
+import requests
+import json
+
+def start_torchserve(model_store=None, snapshot_file=None, no_config_snapshots=False):
+    stop_torchserve()
+    cmd = ["torchserve","--start"]
+    model_store = model_store if (model_store != None) else "/workspace/model_store/"
+    cmd.extend(["--model-store", "/workspace/model_store/"])
+    if(snapshot_file != None):
+        cmd.extend(["--ts-config", snapshot_file])
+    if(no_config_snapshots):
+        cmd.extend(["--no-config-snapshots"])
+    subprocess.run(cmd)
+    time.sleep(10)
+
+
+def stop_torchserve():
+    subprocess.run(["torchserve", "--stop"])
+    time.sleep(5)
+
+
+def delete_all_snapshots():
+    for f in glob.glob('logs/config/*'):
+        os.remove(f)
+    assert len(glob.glob('logs/config/*')) == 0
+
+
+def test_snapshot_created_on_start_and_stop():
+    '''
+    Validates that startup.cfg & shutdown.cfg are created upon start & stop.
+    '''
+    delete_all_snapshots()
+    start_torchserve()
+    stop_torchserve()
+    assert len(glob.glob('logs/config/*startup.cfg')) == 1
+    assert len(glob.glob('logs/config/*shutdown.cfg')) == 1
+
+
+def test_snapshot_created_on_management_api_invoke():
+    '''
+    Validates that snapshot.cfg is created when management apis are invoked.
+    '''
+    delete_all_snapshots()
+    start_torchserve()
+    requests.post('http://127.0.0.1:8081/models?url=/workspace/model_store/densenet161.mar')
+    time.sleep(10)
+    stop_torchserve()
+    assert len(glob.glob('logs/config/*snap*.cfg')) == 1
+
+def test_start_from_snapshot():
+    '''
+    Validates if we can restore state from snapshot.
+    '''
+    snapshot_cfg = glob.glob('logs/config/*snap*.cfg')[0]
+    start_torchserve(snapshot_file=snapshot_cfg)
+    response = requests.get('http://127.0.0.1:8081/models/')
+    assert json.loads(response.content)['models'][0]['modelName'] == "densenet161"
+    stop_torchserve()
+
+
+def test_start_from_latest():
+    '''
+    Validates if latest snapshot file is picked if we dont pass snapshot arg explicitly.
+    '''
+    start_torchserve()
+    response = requests.get('http://127.0.0.1:8081/models/')
+    assert json.loads(response.content)['models'][0]['modelName'] == "densenet161"
+    stop_torchserve()
+
+def test_no_config_snapshots_cli_option():
+    '''
+    Validates that --no-config-snapshots works as expected.
+    '''
+    delete_all_snapshots()
+    start_torchserve(no_config_snapshots=True)
+    stop_torchserve()
+    assert len(glob.glob('logs/config/*.cfg')) == 0
+
+def test_start_from_default():
+    '''
+    Validates that Default config is used if we dont use a config explicitly.
+    '''
+    delete_all_snapshots()
+    start_torchserve()
+    response = requests.get('http://127.0.0.1:8081/models/')
+    assert len(json.loads(response.content)['models']) == 0
diff --git a/test/regression_tests.sh b/test/regression_tests.sh
new file mode 100755
index 0000000000..a95193124b
--- /dev/null
+++ b/test/regression_tests.sh
@@ -0,0 +1,121 @@
+#!/bin/bash
+
+set -x
+set -e
+
+TS_REPO="https://github.com/pytorch/serve"
+BRANCH=${1:-master}
+ROOT_DIR="/workspace/"
+CODEBUILD_WD=$(pwd)
+MODEL_STORE=$ROOT_DIR"/model_store"
+TS_LOG_FILE="/tmp/ts.log"
+TEST_EXECUTION_LOG_FILE="/tmp/test_exec.log"
+
+
+install_torchserve_from_source() {
+  echo "Cloning & Building Torchserve Repo from " $1
+
+  # Install dependencies & test dependencies
+  pip install torch torchtext torchvision sentencepiece psutil future
+  sudo apt-get install npm
+  npm install -g newman newman-reporter-html
+
+  # Clone & Build TorchServe
+  git clone -b $2 $1
+  cd serve
+  pip install .
+  cd -
+  
+  # Build Model Archiver
+  cd serve/model-archiver
+  pip install .
+  cd -
+  echo "Torchserve Succesfully installed"
+  
+}
+
+
+generate_densenet_test_model_archive() {
+
+  mkdir $1 && cd $1
+
+  # Download & create DenseNet Model Archive
+  wget https://download.pytorch.org/models/densenet161-8d451a50.pth
+  torch-model-archiver --model-name densenet161 \
+	  --version 1.0 --model-file $ROOT_DIR/serve/examples/image_classifier/densenet_161/model.py \
+	  --serialized-file $1/densenet161-8d451a50.pth \
+	  --extra-files $ROOT_DIR/serve/examples/image_classifier/index_to_name.json \
+	  --handler image_classifier
+  rm densenet161-8d451a50.pth
+  cd -
+
+}
+
+
+start_torchserve() {
+
+  # Start Torchserve with Model Store
+  torchserve --start --model-store $1 --models $1/densenet161.mar &> $2
+  sleep 10
+  curl http://127.0.0.1:8081/models
+  
+}
+
+
+stop_torch_serve() {
+  torchserve --stop
+}
+
+
+delete_model_store_snapshots() {
+  rm -f $MODEL_STORE/*
+  rm -rf logs/
+}
+
+
+run_postman_test() {
+  # Run Postman Scripts
+  mkdir $ROOT_DIR/report/
+  cd $CODEBUILD_WD/test/
+  set +e
+  # Run Management API Tests
+  stop_torch_serve
+  start_torchserve $MODEL_STORE $TS_LOG_FILE
+  newman run -e postman/environment.json --bail --verbose postman/management_api_test_collection.json \
+	  -r cli,html --reporter-html-export $ROOT_DIR/report/management_report.html >>$1 2>&1
+
+
+  # Run Inference API Tests after Restart
+  stop_torch_serve
+  delete_model_store_snapshots
+  start_torchserve $MODEL_STORE $TS_LOG_FILE
+  newman run -e postman/environment.json --bail --verbose postman/inference_api_test_collection.json \
+	  -r cli,html --reporter-html-export $ROOT_DIR/report/inference_report.html >>$1 2>&1
+  set -e
+  cd -
+}
+
+
+run_pytest() {
+
+  mkdir -p $ROOT_DIR/report/
+  cd $CODEBUILD_WD/test/pytest
+  stop_torch_serve
+  set +e
+  pytest . -v >>$1 2>&1
+  set -e
+  cd -
+
+}
+
+rm -rf $ROOT_DIR && mkdir $ROOT_DIR && cd $ROOT_DIR
+
+echo "** Execuing TorchServe Regression Test Suite executon for " $TS_REPO " **"
+
+install_torchserve_from_source $TS_REPO $BRANCH
+generate_densenet_test_model_archive $MODEL_STORE
+run_postman_test $TEST_EXECUTION_LOG_FILE
+run_pytest $TEST_EXECUTION_LOG_FILE
+
+echo "** Tests Complete ** "
+exit 0
diff --git a/test/screenshot/postman.png b/test/screenshot/postman.png
new file mode 100644
index 0000000000..8c3d01ba75
Binary files /dev/null and b/test/screenshot/postman.png differ