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Exploring MySQL Binlog Server – Ripple

Scalegrid

MySQL does not limit the number of slaves that you can connect to the master server in a replication topology. A classic solution for this problem is to deploy a binlog server – an intermediate proxy server that sits between the master and its slaves. Ripple is an open source binlog server developed by Pavel Ivanov.

Servers 262
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Percona Server for MySQL and Percona XtraBackup Now Available for ARM64

Percona

We’re excited to announce that both Percona Server for MySQL and Percona XtraBackup now support the ARM64 architecture on Red Hat Enterprise Linux (RHEL) 8/9 and Oracle Linux (OL) 8/9. rpm extension can be found on Percona Software Downloads. The packages with the aarch64.rpm The aarch64.rpm

Servers 118
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Detect VMware Aria Operations for Logs exploitation with Dynatrace and DQL

Dynatrace

They have made a PoC for the vulnerability available and published the relevant indicators of compromise (IoC). To exploit this vulnerability to gain remote code execution (RCE), the following steps have to be taken by the malicious actor: Create a Thrift client to gain unauthenticated access to the Log Insight Thrift server.

Analytics 279
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MongoDB SSL with self-signed certificates in C#

Scalegrid

When deploying MongoDB in production, it is strongly recommended that you use an SSL-enabled geo-distributed replica-set configuration for maximum security and availability. One option is purchasing your own CA-signed SSL certificates and configuring them on the MongoDB server. ScaleGrid provides you two options for setting up SSL.

C++ 244
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL.

Big Data 321
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Concatenating our files on the server: Are we going to send many smaller files, or are we going to send one monolithic file? What is the availability, configurability, and efficacy of each? ?️ This gave rise to heavy bundling and concatenation—why download three CSS files (half of our budget) if we could compress them into one?

Cache 338
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, All of these dbs are available free of cost for download / install and it will be fairly straightforward to run these tests in your environment for further analysis. About YCSB. Following configurations were used for the evaluation purpose.