Databases

datadog

Monitor Hazelcast with Datadog

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.

tripwire

22,900 MongoDB Databases Held to Ransom by Hacker Threatening to Report Firms for GDPR Violations

Hackers are once again finding unsecured MongoDB databases carelessly left exposed on the internet, wiping their contents, and leaving a ransom note demanding a cryptocurrency payment for the data’s safe return. As ZDNet reports, ransom notes have been left on almost 23,000 MongoDB databases that were let unprotected on the public internet without a password. Unsecured MongoDB databases being attacked by hackers is nothing new, of course.

sematext

Service Autodiscovery & Automatic Monitoring with Sematext

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 …

thundra

Can Lambda and RDS Play Nicely Together?

AWS Lambda, the most popular and widely used serverless cloud computing service, lets developers run code in the cloud and frees them from dealing with server provisioning or management. Amazon Relational Database Service (RDS) is a more traditional, server-based service that provides you with SQL databases. It will do some heavy lifting, but you’ll still need to do proper server provisioning and management. Can AWS Lambda and RDS work together seamlessly?

solarwinds

Best Practices for Database Performance Monitoring

Like application monitoring, database performance monitoring is a critical discipline. If there isn’t a code issue, there’s a good chance you have a database issue. Key metrics such as CPU and memory usage can give you important insights into your database’s performance. In addition, by monitoring slow queries, and inordinate number of database requests, you can combine this knowledge to optimize both.

manageengine

SQL Server, Part 4: Understanding built-in SQL Server principals

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.

jelastic

MongoDB Replica Set Auto-lustering for High Availability and Performance

Jelastic PaaS provides automatic clusterization for the MongoDB stack, which allows you to create a reliable replica set for your database with a single click. The implemented solution provides a set of benefits: All these benefits can be achieved just in a few clicks within a topology wizard. Explore the steps below to activate auto-clustering for your MongoDB database in Jelastic PaaS.

pandora fms

Optimize MariaDB: tips to deal with load spikes

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!