Category: Redis

Feed: Redis Labs. Author: Fredric Paul. At Redis Labs, we’ve always been dedicated to creating a vibrant culture in which our employees feel valued and well taken care of. It’s important to us to foster an environment that encourages employees to invest in their work knowing that their efforts are reflected in the company’s culture, reputation, and growth. We’ve been honored in the last month to win multiple awards highlighting the results of our efforts. We believe that Redis Labs team members play a critical part in making the company a great place to work—anywhere in the world. Deloitte’s 2018 ... Read More

Feed: Redis Labs. Author: Fredric Paul. When writing a server application that connects to a database, you often have to deal with connection pools, with problematic repercussions if you ignore the issue for too long. So, let’s dive into the problem, and explore how connection pools address it. Too many connections Server applications share a common requirement: they must respond to independent requests originating from multiple clients. A naively written server application that uses Redis (or any other database) will open a new connection to Redis for each request. Unfortunately, this approach doesn’t scale, because you can open only a ... Read More

Feed: Redis Labs. Author: Fredric Paul. Earlier this week, thousands of data architects, engineers, and DevOps practitioners attended Kafka Summit SF 2019 in San Francisco to learn more about Apache Kafka—a stream processing software originally developed by LinkedIn—as well as streaming data and data management in the modern world of microservices and real-time digital businesses.  Of course, the folks at Confluent, which was founded by several Kafka co-creators, made a number of announcements, including: Confluent CEO Jay Kreps keynoting day 2 of the Kafka Summit SF 2019. Beyond the day-to-day product and positioning news, though, Confluent CEO and Kafka co-creator ... Read More

Feed: Redis Labs. Author: Fredric Paul. (Note: This blog post was adapted from a webinar I presented in June. To go even deeper into RedisTimeSeries, register and watch the webinar now!) Most developers know that Redis real-time response capabilities makes it well suited for working with time-series data. But what exactly is time-series data? Plenty of definitions stretch into page after page of explanation, but I think it can be dramatically simplified: Basically, time-series data is data that encodes time as an index, and where each recorded time has a numeric value. If you visualize it in two columns, one ... Read More

Feed: Redis Labs. Author: Fredric Paul. As we head into Fall, I can’t think of a better place to start thinking about your new digital initiatives than at SpringOne Platform 2019. The crowds converge on Austin, Texas, the live music capital of the world, from October 7 – 10, and it’s shaping up to be a can’t-miss event for all things cloud native, microservices, and Kubernetes.  Redis Labs collaboration and partnership with Pivotal continues to gain momentum as the best way to build and deploy modern apps and microservices in your Pivotal environment.  So, naturally Redis Enterprise on the Pivotal ... Read More

Feed: Redis Labs. Author: Fredric Paul. As you are probably aware, tens of thousands of database professionals and other tech leaders and practitioners converged on San Francisco last week for Oracle OpenWorld. And you may have heard some of the news coming out of the event, ranging from another batch of controversial statements from Oracle chief Larry Ellison to the annual raft of new announcements, this time centering around Exadata, AutoML and data security, cloud infrastructure, and even a new mission statement! But unless you were there, you might have missed a golden opportunity to learn more about Redis Labs ... Read More

Feed: Redis Labs. Author: Chris Cheung. In recent years, many programming languages have made an effort to improve their concurrency primitives. Go has goroutines, Ruby has fibers and, of course, Node.js helped popularize async / await, which is today’s most widespread type of concurrency operator. In this post, I will talk about the basics of async / await, using Python as an example. I chose Python, since this capability is relatively recent in Python 3, and many users might not yet be familiar with it (especially considering how long it took for Python 2.7 to get to end of life) ... Read More

Feed: Redis Labs. Author: Chris Cheung. We recently surveyed our customers and received some great and interesting feedback. For instance, we found out that 71% of users increased their usage of Redis Enterprise because their business grew.  Figure 1. Redis Labs customers increased their Redis usage. Across our customer base, we’ve seen how rapidly database size and throughput requirements can grow. Let’s say you launched a new app some time ago, and it stores data in Redis. Suppose your dataset size was about 1 GB when you launched, but your app became very popular. Your Redis dataset may have grown ... Read More

Feed: Redis Labs. Author: Chris Cheung. Here’s a brief introduction to Red Hat OpenShift, including questions we often get asked and our thoughts on why it’s a great choice for deploying and running your Redis Enterprise Cluster. What is OpenShift? There are a few pieces of background you should have before I can properly answer that question, so let me start with a simple definition and then progressively fill in the details. OpenShift is Red Hat’s Platform-as-a-Service (PaaS) offering for running containerized applications based on their Kubernetes distribution. What is a Platform-as-a-Service (PaaS)? PaaS is a category of cloud computing ... Read More

Feed: Redis Labs. Author: Chris Cheung. Successful applications tend to become complex over time. A microservices architecture offers the ability to decompose your app into many loosely-coupled services organized around business capabilities, thereby alleviating some of the complexities. Of course, microservices are not a free lunch, but for most large, complex apps, they allow teams to deploy new features faster, scale more easily, and pick the best technology stacks. But what about distributed data? Each microservice is able to select the right database for the right job by employing a data model based on key-value, graph, hierarchical, JSON, streams, search, and ... Read More