Vue Laravel CRUD Example Tutorial From Scratch is today’s leading topic.  Laravel is the PHP’s fastest growing Framework with scalability and flexibility. VueJS is the fastest growing Front end Library in the Javascript community. Laravel is providing VueJS support out of the box.  For this demo, we will not create separate projects for the frontend because Laravel provides the best support for Vue.js. So, we will build the Vue components inside the Laravel’s assets folder.

We will create a Single Page Application(SPA) using the Laravel and Vue.js. In this SPA, you can create a post, edit the post, read the post and delete the post. We will create Laravel API Backend.

Vue Laravel CRUD Example …

I've updated the bug tide graph I made in 2016 with today's data. The source code and details are here.

In this Checklist for Success series, we will discuss reducing unknowns when hosting in the cloud using and migrating to Amazon Aurora. These tips might also apply to other database as a service (DBaaS) offerings.

In our previous article, we discussed the importance of continuous query performance analysis, especially in Amazon Aurora where there is less diagnostic visibility compared to running on EC2 or on-premise. Aside from uptime though, we need a lot more from our data, and we definitely cannot isolate it in Aurora.

Next on our checklist is that at one point or another, we will need to use asynchronous replication. Amazon Aurora has an excellent reputation for absorbing intense amounts of …

Has you may already know, in MySQL it is possible to set an expiration period for passwords.

It’s not always obvious to see when the password will expire. And most of the time if you don’t pay much attention you will get something like this:

ERROR 1820 (HY000): You must reset your password using
ALTER USER statement before executing this statement.

Let me share you a small query that check for how long your password is still valid in case it was created with an expiration delay or if the global default_password_lifetime is set on …

Let’s talk about MySQL high availability (HA) and synchronous replication once more.

It’s part of a longer series on some high availability reference architecture solutions over geographically distributed areas.

Part 1: Reference Architecture(s) for High Availability Solutions in Geographic Distributed Scenarios: Why Should I Care?

Part 2: MySQL High Availability On-Premises: A Geographically Distributed Scenario

The Problem

A question I often get from customers is: How do I achieve high availability in case if I need to spread my data in different, distant locations? …

Thanks to everyone who participated in this week’s webinar on ‘Backup Management with ClusterControl’. The replay is now available to watch online as well as the slide deck.

If you feel frustrated by traditional, labour-intensive backup and archive practices for your MySQL, MariaDB, MongoDB and PostgreSQL databases … then this session is for you!

What if you could have one backup management solution for all your business data? What if you could ensure integrity of all your backups? And what if you could leverage the competitive pricing and almost limitless capacity of cloud-based backup while meeting cost, manageability, and compliance requirements …

MySQL Shell 8.0.13 (GA) introduced a new feature to allow you to easily import JSON documents to MySQL. The basics of this new feature were described in a previous blog post. In this blog we we will provide more details about this feature, focusing on a practical use case of interest for to many: How to import JSON data from MongoDB to MySQL.…

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If you have an application that need to use multiple connections to the MySQL database for short periods of times, it can be a good to use a connection pool to avoid creating a new connection and going through the whole authentication process every time a connection is needed. For the Python Database API (PEP249), MySQL Connector/Python has had support for connection pools for a long time. With the release of MySQL 8.0.13, the new X DevAPI also has support for connection pools.

This blog will first cover the background of the X DevAPI connection pool feature in MySQL Connector/Python. Then provide an …

We have introduced a new policy for you to enforce on your non-privileged users. It requires their current password at the time they set a new password. It is optional and off by default. You can control it globally (for all non-privileged users) or on a per-user basis.…

MySQL NDB Cluster uses row level locks instead of a single shared commit lock in order to prevent inconsistency in simultaneous distributed transactions. This gives NDB a great advantage over all other MySQL clustering solutions and is one reason behind cluster’s unmatched ability to scale both reads and writes. 
NDB is a transactional data store. The lowest and only isolation level available in NDB is Read Committed. There are no dirty reads in NDB and only committed rows can be read by other transactions. 
All write transactions in NDB will result in exclusive row locks of all individual rows changed during the transaction. Any other transaction is allowed to read any committed row independent of their lock status. Reads are lock-free reads.
The great advantage is that committed reads in NDB never block during writes to the same data and always the latest committed changes are read. A select doesn't block concurrent …