Category: Redis

Feed: Redis Labs. Author: Madhukar Kumar. The data landscape has grown increasingly demanding and crowded in the last few years, with many platforms competing to offer the best processing and storage options. Tech consumers expect companies to deliver high-speed data processing while simultaneously offering a variety of adaptable solutions that work with traditional applications but also built for modern architecture like microservices. Unlike a monolithic framework, a microservice structure enables companies to facilitate faster time-to-market for new applications or updates. With the lightweight design and agility of microservices, companies can allocate each individual service they offer to its own distinct ... Read More

Feed: Redis Labs. Author: Loris Cro. Apache Spark is one of the most popular frameworks for creating distributed data-processing pipelines. The main feature of Spark is that a pipeline (a Java, Scala, Python or R script) can both be run locally (for development) and on a cluster, without having to change any of the source code. Spark allows such flexibility by making clever use of delayed computation, or, as it is called in some contexts, laziness. Everything starts with the classes RDD, DataFrame, and the more recent Dataset which are distributed lazy representations of your data, using distributed file systems, ... Read More

Feed: Redis Labs. Author: Dave Provenza. In my experience, certain applications are easier to build and maintain when they are broken down into smaller, loosely coupled, self-contained pieces of logical business services that work together. Each of these services (a.k.a. microservices) manages its own technology stack that is easy to develop and deploy independently of other services. There are countless well-documented benefits of using this architecture design that have already been covered by others at length. That said, there is one aspect of this design that I always pay careful attention to because when I haven’t it’s led to some ... Read More

Feed: Redis Labs. Author: Dave Provenza. I love my job. As a Customer Advocacy Manager, I get to hear first-hand accounts from the people we impact, including challenges they’ve had to overcome, their innovative implementations and the success they’ve achieved with our product. But working in the customer advocacy field can be volatile. To be frank, the success of my position is largely dependent on the happiness of our customers. Technically, everyone’s job here is dependent on our customers’ success. But my role feels the direct impact, whether positive or negative, of each customer experience. I can’t share a customer’s ... Read More

Feed: Redis Labs. Author: Michal Cholewa. After aggregating massive amounts of disparate data coming in across hundreds or thousands of diverse systems and locations, DigitalRoute’s Usage Data Platform (UDP) then analyzes and acts upon all that data… in real time! Not only does the UDP transform the data, it also filters and forwards the data, creating an intelligent layer across a company’s infrastructure. Sounds daunting, right? It is daunting, but tracking customer consumption in large and complex environments is exactly what DigitalRoute’s Usage Data Platform was built to do, not only for organizations in the telecom industry, but other industries ... Read More

Feed: Redis Labs. Author: Kyle Davis. I probably spend more time than most in redis-cli, because I find it invaluable when I’m writing software or getting to know a new module. If I didn’t have redis-cli, understanding Redis’ data structures and testing connections would be far more complicated, and I probably would’ve stopped using Redis long ago. Redis-cli by itself isn’t that complicated – it’s a REPL (read–eval–print loop) that speaks to the Redis server. However, getting this jewel of a tool is not straightforward for many. The source for redis-cli is included in the Redis github repository and is ... Read More

Feed: Redis Labs. Author: Kyle Davis. Sometimes, I “think” in Redis. It’s a bit hard to describe, but I tend to think of real-life problems in terms of how I would solve them in Redis (I… think it might be a sickness). I’ve been renovating my house for a couple of years now and one of the most unexpected challenges is dealing with how long it takes to plaster, paint, apply adhesive and the like to dry and cure. Some things take weeks to cure before you can move on to the next step. I had a minor annoyance/disaster this ... Read More

Feed: Redis Labs. Author: Kyle Davis. I probably spend more time than most in redis-cli, because I find it invaluable when I’m writing software or getting to know a new module. If I didn’t have redis-cli, understanding Redis’ data structures and testing connections would be far more complicated, and I probably would’ve stopped using Redis long ago. Redis-cli by itself isn’t that complicated – it’s a REPL (read–eval–print loop) that speaks to the Redis server. However, getting this jewel of a tool is not straightforward for many. The source for redis-cli is included in the Redis github repository and is ... Read More

Feed: Redis Labs. Author: Loris Cro. Everybody has a Redis instance somewhere in their stack or at the very least knows Redis. However not everybody knows that Redis supports modules: custom extensions that add new commands, data types, and functionalities to a Redis database. Need a new data structure? Full-text search? Want to store graph data in Redis? All of this is already possible with existing modules that are being actively developed by the Redis community. If you have a specific use case that is not yet covered and you need the performance that Redis offers, you might be interested ... Read More

Feed: Redis Labs. Author: Dave Provenza. Introduction After we published our recent RedisGraph benchmarking results, the folks at TigerGraph replied with some thoughts. While we appreciate hearing our competition’s perspective, we’d like to address their accusation of fake news. In our blog post, we introduced a parallel requests benchmark. This test is the same K-hop neighborhood count query test created by TigerGraph, but for our test, we had 22 clients execute the queries against RedisGraph concurrently. We introduced the concurrent requests test because we believe it is representative of almost any real-time, real-world scenario. The results we published measured the ... Read More