Optimize correlated subquery for order events table

I have a MariaDB table with order events:

And I need to get the most recent event for every order. So for this dataset the result should be

I am achieving this using a correlated subquery:

SELECT *
FROM MESSAGES m1
WHERE TIMESTAMP = (SELECT MAX(TIMESTAMP) 
FROM MESSAGES m2 WHERE m1.ORDERID = m2.ORDERID);

But this is slow for large volumes so I'd like to know if there is a way to improve the query using a join or grouping. Otherwise I'm open to splitting the data into different tables if that would help.

SELECT m3.*
    FROM ( SELECT ORDERID, MAX(TIMESTAMP) AS TIMESTAMP
              FROM MESSAGES m1
              GROUP BY ORDERID ) m2
    JOIN MESSAGES m3 USING(ORDERID, TIMESTAMP);

and have

INDEX(ORDERID, TIMESTAMP)

The query is a "groupwise-max" pattern.

The derived table (subquery) will hop through the index, then look up the rest of the columns from the table.

If there are any duplicate timestamps for a given order id, it will deliver multiple rows. If that is not desired, see this for more options.