All posts tagged with redis


In 2013, Rafael Ördög put poker and code together, the result: Lean Poker, a competitive coding event that teaches continuous deployment and lean startup methodologies. Rafael is based in Budapest, Hungary.

What's Lean Poker?

Lean Poker is a coding workshop that is designed to teach people how to practice continuous deployment and lean startup methodologies. Companies can sponsor a free public event or hold an internal, team-building event for their own employees.

The basic starting code is really simple and teams can use the language of their choice. The challenge is not to understand an existing code base but to modify it—to build a new app. Teams must iterate their app quickly in...

Today we’re pleased to announce general availability of Heroku Redis with a number of new features and a more robust developer experience. By giving developers a different data management primitive, we’re helping them meet the needs of building modern, scalable applications. The classic example of using multiple data stores in an application is the e-commerce site that stores its valuable financial information in a relational database while the user session tokens are saved in a key-value store like Redis. This is one of the use cases where Redis has proven to be instrumental in solving problems like caching, queuing and session storage, just to name a few.

In addition to making Heroku...

Developers increasingly need a variety of datastores for their projects -- no one database can serve all the needs of a modern, scalable application. For example, an e-commerce app might store its valuable transaction data in a relational database while user session information is stored in a key-value store because it changes often and needs to be accessed quickly. This is a common pattern across many app types, and the need for a key-value store is especially acute. Today, we are pleased to announce the beta of Heroku Redis, joining Heroku Postgres as our second data service.

We have deep experience with Redis; internally at Heroku, we use Redis extensively as a queue, as a cache, and...

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