Redis is an open-sourced, BSD 3 licensed, highly efficient in-memory data store that can be easily used as a distributed, in-memory key-value store, cache, or message broker. It is known for being extremely fast, reliable, and supporting a wide variety of data structures, making it a very versatile tool widely adopted across the industry. Redis was architectured with speed in mind and is designed in a way that it keeps all the data in memory.
OK, so you want to sort your documents by something that can’t be implemented with Solr’s built-in functions. This calls for a custom function, which you can implement through your own ValueSourceParser. To address the elephant in the room, Elasticsearch and OpenSearch have script sorting. This is easier to implement, but not as close to Lucene. Though of course you can use a native script as well.
When we say “logs” we really mean any kind of time-series data: events, social media, you name it. See Jordan Sissel’s definition of time + data. And when we talk about autoscaling, what we really want is a hands-off approach at handling Elasticsearch/OpenSearch clusters. In this post, we’ll show you how to use a Kubernetes Operator to autoscale Elasticsearch clusters, going through the following with just a few commands.
When new web browser versions are released, new bugs are inevitably introduced, which can degrade a website’s performance and increase the overall page load time. This can severely impact a user’s engagement and a business’s bottom line.
Website performance is important as it directly impacts your business bottom line, this is why picking the right website monitoring service crucial! They perform regular tests and alert you whenever your site is down, making it easier for you to spot track down issues and solve them. There are lots of options out there from simple uptime monitoring or transaction monitoring to complex web performance monitoring solutions.