Remove specify-prod-environment
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Building a Control Plane for Lyft’s Shared Development Environment

Lyft Engineering

Our team, the Developer Infrastructure team, aims to build the best tools to enable microservice owners (our “customers”) to reliably and quickly test changes in a local and/or end-to-end environment. Testing in a prod-like environment plays a critical role in Lyft’s Software Development Life Cycle ( SDLC ). Hello Context IDs!

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Projects in SQL Stream Builder

Cloudera

The newly introduced Environments feature allows you to export only the generic, reusable parts of code and resources, while managing environment-specific configuration separately. After specifying a commit message, the current state will be pushed to the configured sync source as a commit. What is a Project in SSB?

SQL 76
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Announcing the New Rockset Developer Tools

Rockset

We are excited to release a new ecosystem of developer tools intended to help advanced users edit, execute, and deploy Query Lambdas from a local development environment, while integrating seamlessly with Version Control and CI/CD systems. For more detailed documentation on usage of each individual tool, please see the README for each tool.

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How to Speed up Local Development of a Docker Application running on AWS

DoorDash Engineering

Concrete requirements and existing infrastructure streamline the path for development environments to integrate easily and safely, eliminating some of the need for rapid iteration because the application design can be front-loaded based on the requirements. No chance of accidentally touching any production data or systems.

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Automating Your Transformation Pipeline with dbt

phData: Data Engineering

So you’ve built your first set of transformations in dbt , but now you need to figure out how to automate your deployment and code changes to your various environments. Thankfully, you’ve found this blog! You can do something similar to the schema name if you prefer to separate environments at the schema level.

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Exploring Data @ Netflix

Netflix Tech

In this blog post, we are thrilled to share that we are open-sourcing one such tool: the Netflix Data Explorer. Browsing your accessible clusters in different environments and regions Schema Designer Writing CREATE TABLE statements can be an intimidating experience for new Cassandra users.

Data 61
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How to Conduct Data Incident Management for Data Teams

Monte Carlo

Incident Detection Integrating automatic data quality monitoring into your critical workflows is foundational to the success of your incident management process, and allows your team to specify who is investigating the issue and its status (i.e., pending, investigating, resolved). Image courtesy of Monte Carlo. Image courtesy of Monte Carlo.