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docker container id - 8c37a950839a

# Make sure that the `/var/backups` folder is clean inside the container

# 1. Copy Mongo dump to container folder
(Local System)$ docker cp dump/reaction 8c37a950839a:/var/backups

# 2. Connect to mongodb docker container
(Local System)$ docker exec -it 8c37a950839a /bin/bash

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Platform	Design	Code Gen.	Docs	Testing	Management
3Scale	Supports Swagger	None	ActiveDocs (Swagger compliant)	Developer Portal	Security, Analytics, Monetization, Dashboard, Traffic Mgmt.
Akana	Graphical Designer. Supports Swagger, RAML, WADL, WSDL	Build Code	Document	Developer Portal	API Gateway, Security, Analytics, Orchestration, Transformation, Traffic Mgmt.
Apigee	Edge UI. Supports OpenAPI Specs	None	Developer Portal	Developer Portal	API Gateway, Security, Analytics, Monetization, Orchestration, Transformation, Traffic Mgmt., API Proxy Editor
Boomi	Mediate	None

rupakg

How to use AWS Fargate and Lambda for long-running processes in a Serverless app

Build an ETL job service by fetching data from a public API endpoint and dumping it into an AWS Redshift database.

Published on Jan. 11th, 2018 at https://serverless.com/blog/serverless-application-for-long-running-process-fargate-lambda/

AWS dropped so many serverless announcements at re:Invent, the community is still scrambling to make sense of them all. This post is all about AWS Fargate.

In this article, I will show you how to create an end-to-end serverless application that extracts thumbnails from video files. But, oh no, processing video files is a long-running process! Whatever will we do?

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Company Tools & Services

• Hiring Process

  • Lever
  • Greenhouse

• Data Science

• Metabase.com

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[1]   Open https://console.cloud.google.com/ with your gmail account

[2]   Create a Project / Choose a Project you have access to.

[3]   Activate "Cloud Shell"

[4]   Prepare a GKE cluster using 
      https://istio.io/latest/docs/setup/platform-setup/gke/
      
export PROJECT_ID=`gcloud config get-value project` && \

rupakg

How to create a REST API in Java using DynamoDB and Serverless

Build a serverless REST API service in Java, store the data in a DynamoDB table, and deploy it to AWS. All using the Serverless Framework.

Published on April 16th, 2018 at https://serverless.com/blog/how-to-create-a-rest-api-in-java-using-dynamodb-and-serverless/

In this walkthough, we will build a products-api serverless service that will implement a REST API for products. We will be using Java as our language of choice. The data will be stored in a DynamoDB table, and the service will be deployed to AWS.

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<!DOCTYPE NETSCAPE-Bookmark-file-1>
<!-- This is an automatically generated file.
     It will be read and overwritten.
     DO NOT EDIT! -->
<META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=UTF-8">
<TITLE>Bookmarks</TITLE>
<H1>Bookmarks</H1>
<DL><p>
    <DT><H3 ADD_DATE="1576816453" LAST_MODIFIED="1578776782">CKAD</H3>
        <DL><p>

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^ = Ctrl key M = Alt key

^G      (F1)            Display this help text
^X      (F2)            Close the current file buffer / Exit from nano
^O      (F3)            Write the current file to disk
^J      (F4)            Justify the current paragraph

^R      (F5)            Insert another file into the current one

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{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
                "lambda:CreateFunction",
                "cloudformation:ListExports",
                "cloudformation:CreateChangeSet",

rupakg

Automating a CI workflow for a Python app with Circle CI

There are big benefits to using serverless architectures in continuous integration & deployment (CI/CD) processes. We'll show you why, and how to do it.

Published on Dec. 6th, 2017 at https://serverless.com/blog/ci-cd-workflow-serverless-apps-with-circleci/

I had previously written a post defining the CI/CD process, discussing various deployment patterns, creating a NodeJS app and automating the end-to-end CI flow.

In this post, I will jump straight into creating a Python app and go over the end-to-end process for automating the CI flow.