If you plan to deploy a Drupal site to OCI using MySQL Database Service, there is a very easy way to perform that deployment: using OCI’s Resource Manager !

As you know, security is something very important for Oracle in OCI, therefor, exposing the database on the Internet is not allowed.

Even if you are not using OCI, I really recommend you to follow that principle and never expose your database to Internet !

I already cover this in many previous posts. But I also understand that for people not being a sysadmin, this can be complicated the first time.

That’s why, all this can be automated using a stack to deploy in Resource Manager.

The first thing to do when you have your OCI account, it’s to download the stack from GitHub: https://github.com/lefred/oci-drupal-mds

Then in OCI’s dashboard, just …

In the previous blog we provided insights on how the MySQL database has been enhanced to integrate with a native high performance analytics engine – HeatWave: https://blogs.oracle.com/mysql/breakthrough-enhancements-in-mysql-database-service-with-analytics-engine

HeatWave is a new, massively parallel in-memory query engine developed by Oracle Labs designed for accelerating analytic workloads. HeatWave provides 100x-1000x acceleration over MySQL and MySQL compatible databases like Aurora. 

There are four key architecture choices which provide compelling performance with HeatWave:

1. An in-memory hybrid columnar format which is conducive to vector processing.
2. A massively parallel architecture which is enabled by a massively partitioned architecture.
3. State of …

In the previous blog we provided insights on how the MySQL database has been enhanced to integrate with a native high performance analytics engine – HeatWave: https://blogs.oracle.com/mysql/breakthrough-enhancements-in-mysql-database-service-with-analytics-engine HeatWave is a new, massively paralle...

MinervaDB Athena 2020 – MySQL 8 Observability by Peter Zaitsev

Peter Zaitsev (Founder and CEO of Percona) spoke in MinervaDB Athena 2020 about MySQL 8 observability, Troubleshooting MySQL performance proactively. In this talk, Peter share about what are MySQL performance metrics we should consider for building optimal MySQL infrastructure performance addressing performance, scalability and reliability.

⊗ MySQL 8 Observability by Peter Zaitsev

The post MinervaDB Athena 2020 – MySQL 8 Observability by Peter Zaitsev appeared first on …

Role of Venture Capital Companies in building Database Systems Companies by Anandamoy Roychowdhary

Anandamoy Roychowdhary (a.k.a Roy) talked about how Venture Capital companies like Sequoia Capital can help you in building successfully Database Systems companies both strategically and technically. In this talk, Roy shared the most common metrics followed by Sequoia Capital to measure business from seed stage to the growth capital phase with more insights to how open source projects get evolved to wider adoption, community development and institutionalization of the business.

⊗ Talk from Roy on how venture capital companies can help you to build the Database Systems startups / business for scale

The post …

The Vitess team had a successful presence at Kubecon + CloudNativeCon North America 2020. This year's event was in a virtual format. It ran from Nov 17-20. We had 2 talks, a project booth and 3 office hours sessions. In addition, we had mentions in 2 major keynote talks. Day 1 # Day 1 was a non-keynote day. It opened relatively quietly for us. We had 25+ attendees at our office hours session hosted by maintainers Alkin Tezuysal, Deepthi Sigireddi and Derek Perkins.

MinervaDB Athena 2020 – Profiling Linux Operations for Performance and Troubleshooting by Tanel Poder

In Athena 2020, Tanel Poder talked about troubleshooting Linux operations performance based on the detailed forensics and evidence collection through0x.tools (Linux Process Snapper from Tanel), Which is a free, open source /proc file system sampling tool which annotates Linux thread handling activities more intuitively. The talk was really interesting for Open Source Database Systems folks who attended the conference because they spend most of their professional hours troubleshooting performance of their Database Infrastructure Operations for optimal performance and also in this talk Tanel’s approach was bottom-up (interpreting performance metrics with Linux probes) compared top-down approach (depending on Database Systems metadata views), You can download the PDF of the talk …

Running a MySQL Database Service (MDS) DB System, the MySQL managed solution by Oracle MySQL on Oracle Cloud Infrastructure, means forgetting about time-consuming duties such as upgrades, backups and configuration, among others. It is so possible to focus on the service, on data and at the same time take advantage of the usual monitoring assets to configure and scale the service optimally. That’s what I want to talk about in this post: how to monitor a DB System in a few steps.

OCI MDS OS Metrics Charts

An MDS DB System compute instance file system is protected from any access, but you don’t need to access it to create system metrics, as these are already exposed on your DB System administration page in OCI dashboard.

System charts exposed for the compute instance hosting the DB System

It is also possible to take advantage of OCI services to raise alarms when certain metric …

MySQL Cluster: MySQL Cluster is a real time, ACID-compliant transactional database. It is a combination of MySQL server and the NDB storage engine. Data is cached in memory and durably stored on disk. Indexed columns are always kept in memory while non-indexed columns can be kept in memory or disk. It was mainly designed for telecom databases with 99.999% availability and high performance. Unlike simpler sharded systems, MySQL Cluster transactions can transparently query and update all data in the system.

Key features of MySQL Cluster:

•     MySQL Cluster is designed using a shared nothing architecture

• Support for large database sizes

  •         With all columns kept in memory, can store upto few terabytes

  •         With some columns kept on disk, can store upto few petabytes

    …

This is a simple article with an examples for “how to configure replication filters for channel”

Starting from MySQL 8.0 replication filters can be global or channel-specific, enabling you to configure multi-source replicas with replication filters on specific replication channels. Channel specific replication filters are particularly useful in a multi-source replication topology when the identical database or table is present on multiple sources, and the replica is only required to replicate it from one source.

Example:

CHANGE REPLICATION FILTER REPLICATE_DO_DB =(test,test3,test4 ), REPLICATE_REWRITE_DB = ((test1,test3),(test2,test4)) FOR CHANNEL "node1";

my.cnf confiration to make replication filter setting persistent:

replicate-do-db=node1:test
replicate-do-db=node1:test3
replicate-do-db=node1:test4
replicate-rewrite-db=node1:test1->test3 …