An all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack.
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Sematext is particularly recommended for DevOps teams, IT administrators, and organizations with complex systems that require real-time monitoring and logging. It is also well-suited for businesses in need of a scalable solution that can handle large volumes of data and offer actionable insights across various infrastructure environments.
Based on our record, Redis seems to be a lot more popular than Sematext. While we know about 218 links to Redis, we've tracked only 9 mentions of Sematext. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sematext provides synthetic monitoring, real user monitoring, and infrastructure monitoring in one platform. Its capabilities include API monitoring, SSL certificate checks, and detailed alerting, making it a versatile choice for comprehensive monitoring needs. - Source: dev.to / about 1 month ago
Sematext: Need everything in one place? Sematext Brings logs, metrics, and traces together in a unified platform. - Source: dev.to / 2 months ago
Sematext offers a very popular solution in Sematext Logs. Sematext Logs supports the creation of detailed log entries, capturing essential data for troubleshooting and performance monitoring. Sematext positions their offering as a Log Management-as-a-Service model, supporting the exfiltration of API logs from containers, infrastructure, applications, etc. It facilitates this by supporting Syslog or the... - Source: dev.to / 2 months ago
I got the contract technical role with Sematext four months ago to create glossaries about various DevOps and cloud terminologies. It is a pretty exciting project because, besides writing, the team and I also work on the information architecture and showcase helpful product demos to help everyone get started. - Source: dev.to / over 2 years ago
Sematext.com — Free for 24 hours metrics, unlimited number of servers, 10 custom metrics, 500,000 custom metrics data points, unlimited dashboards, users, etc. - Source: dev.to / over 2 years ago
Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 10 days ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 16 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 29 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 29 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 1 month ago
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