The latest News and Information on Databases and related technologies.
This is the story of how I used Honeycomb to troubleshoot redis/redis-rb#924 and discovered a surprising workaround.
Apache Ignite is a computing platform for storing and processing large datasets in memory. Ignite can leverage hardware RAM as both a caching and storage layer to serve as a distributed, in-memory database or data grid. This allows Ignite to ingest and process complex datasets—such as those from real-time machine learning and analytics systems—in parallel and at faster speeds than traditional databases supported by only disk storage.
Hazelcast is a distributed, in-memory computing platform for processing large data sets with extremely low latency. Its in-memory data grid (IMDG) sits entirely in random access memory, which provides significantly faster access to data than disk-based databases. And with high availability and scalability, Hazelcast IMDG is ideal for use cases like fraud detection, payment processing, and IoT applications.
Most modern web applications are heavily reliant on persisting data with relational databases, and so it’s no surprise that a large part of application performance monitoring relates to keeping an eye on database performance to ensure that our SQL queries are as efficient as possible. With this in mind, Scout features a Database Addon module, and in this video we are going to take a closer look at what it has to offer.
If you are anything like us here at Sematext, you are likely always trying to automate any tedious, repetitive tasks. Repetitio est mater… boringdorum. Setting up monitoring falls in that category. You either do it manually every time you provision a new piece of infrastructure or service, or you automate it. Note that by “service” I mean either an instance of your own application or something like Nginx or Elasticsearch or MySQL or …
You’ve pored over the MongoDB documentation, crafted highly polished and well-tuned queries, and confidently deployed your new code to production. Everything ran great at first, but once CPU or RAM usage hit a certain point, your queries suddenly slowed to a crawl. What happened, and how can you prepare for situations like this in the future? This is an unfortunate but common scenario with databases like MongoDB.
In the previous blog in this series, we discussed the principle of least privilege, and the importance of assigning bare minimum privileges to users and systems at database or server levels. However, there are certain built-in principals in your database that possess all permissions in SQL Server. If an attacker managed to get hold of one of these principals, the database could be easily exploited and damaged.
This 2020 is perfect to check our beloved Pandora FMS server and precisely a very important component is the database (BD). As our loyal readers already know (and if you visit us for the first time you can read the introduction to architecture on our Wiki), MariaDB is one of the databases chosen by Pandora FMS to keep all your information about your device monitoring: Let’s see how to optimize MariaDB!
