First, I would like to invite you to my webinar, “Monitoring All (Yes, All!) MySQL Metrics with Percona Cloud Tools,” on Wednesday, June 25 at 10 a.m. Pacific Daylight Time, where I will talk on the
new features inPercona Cloud Tools, including monitoring capabilities.
In this post I’d like to show the cool and interesting things we’ve implemented in Percona Cloud Tools, including the recently releasedagentthat Daniel also talks about here inthis post.
Basically our agent allows users to collectALL MySQL metricsplus important environment’s metrics, like CPU, memory, IO stats.
And when I talk all MySQL it is:
- Metrics fromSHOW GLOBAL STATUS(I counted 571 entries on my Percona Server 5.6 with TokuDB)
- Metrics fromINFORMATION_SCHEMA.INNODB_METRICS( 214 entries)
- Data fromSHOW GLOBAL VARIABLES( 522 entries).
So you see we collect more than 1000 points. We collect dataevery second, aggregate per minute and it becomes available with a 1-minute resolution, but with descriptive stats likemin, max, avg, median, 5%-percentile, 95%-percentileof collected data. We found this represents data better than 1-sec points, which can be a quite noisy.
So for example this is how a chart with MySQL command counters looks like:
If you do not have MySQL, in fact, you can just monitor your OS without MySQL if you need to.
For example CPU stats
Please note you can see a value at any point in the past. We even can go to week range and see values several days ago
You can choose a custom timerange back to hours, days, weeks, etc with zoom-in capabilities.
Why do we need avg, min, max stats? Let see Peter’s graph from a server with periodical stalls.
Averaging metric smooths the line, and really hides the problem, while withminwe are able to see that throughput drops to zero, that means that during some seconds the server did not execute any queries (which is essentially stalls)
More about the agent.
Our percona-agent is open source. This is our way of sharing our Go knowledge, and also you can check that we do not do anything insane on your server (like bitcoin mining or black magic regression modeling math).
You can see source code herehttps://github.com/percona/percona-agent:
and pre-compiled binaries are available fromour website:
What is also interesting about our technology is that we use a permanent connection (based on WebSockets technology, so it looks like a connection to web browser) between an agent and our servers. This way
we support a bi-directional real-time communication betweenhttps://cloud.percona.com/and an agent.
That means you can manage an agent and receive data updates at the same time. Pretty cool, yeah?
Our agent comes with “minimal efforts” in mind.
- 1. There is minimal efforts to install agent. Basically it takes 3-minutes
to download binaries, install them, and start seeing real-time updates of charts with MySQL metrics. - 2. Agent comes with self-update capabilities (not activated at this moment). Later you will need
to worry if there is new version of agent is available, it will updated itself. We thought if Android Apps can do that, why can’t we? - 3. Minimal efforts for a maintenance: you do not need to install a dedicated server, configure and maintain database, care about its backups and availability. Basically no more hassle with Cacti configuration and managing a storage for it.
The goal ofPercona Cloud Toolsis to provide you with FULL visibility on what’s going on inside your system right now or at some point in the past, and to gain additional insights on your database server.
Our tools are useful not only if you have hundreds of database servers to manage, but pretty much for single installations, too. Well, of course, we always can runmysql -e "SHOW GLOBAL STATUS" , vmstat 10 ; iostat -dxm 10
manually when we need to troubleshoot something, but is it not useful to collect all this data automatically and be able to go to any point in the past?
You canregister for the Betaright now. No invitation is needed, but it may take sometime for us to activate your account, we see a quite a demand right now and we need to prime our servers.
And what’s important, eventually our tools will require a payment, but we will always provide a free level, which will be useful enough for small accounts (this is not a bait-and-switch 30-days trial approach).

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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