Monitoring Results in MySQL Performance Gains

by Dec 3, 2019

Categories

Tags

Administration agent-based monitoring Agentless Monitoring alert responses alert thresholds alerting Alerts Amazon Aurora Amazon EC2 Amazon RDS Amazon RDS / Aurora Amazon RDS for SQL Server Amazon Redshift Amazon S3 Amazon Web Services (AWS) Analytics application monitoring Aqua Data Studio automation availability Azure Azure SQL Database azure sql managed instance Azure VM backup Backup and recovery backup and restore backup compression backup status Backup Strategy backups big data Blocking bug fixes business architecture business data objects business intelligence business process modeling business process models capacity planning change management cloud cloud database cloud database monitoring cloud infrastructure cloud migration cloud providers Cloud Readiness Cloud Services cloud storage cloud virtual machine cloud VM clusters code completion collaboration compliance compliance audit compliance audits compliance manager compliance reporting conference configuration connect to database cpu Cross Platform custom counters Custom Views customer survey customer testimonials Dark Theme dashboards data analysis Data Analytics data architect data architecture data breaches Data Collector data governance data lakes data lineage data management data model data modeler data modeling data models data privacy data protection data security data security measures data sources data visualization data warehouse database database administration database administrator database automation database backup database backups database capacity database changes database community database connection database design database developer database developers database development database diversity Database Engine Tuning Advisor database fragmentation database GUI database IDE database indexes database inventory management database locks database management database migration database monitoring database navigation database optimization database performance Database Permissions database platforms database profiling database queries database recovery database replication database restore database schema database security database support database synchronization database tools database transactions database tuning database-as-a-service databases DB Change Manager DB Optimizer DB PowerStudio DB2 DBA DBaaS DBArtisan dBase DBMS DDL Debugging defragmentation Demo diagnostic manager diagnostics dimensional modeling disaster recovery Download drills embedded database Encryption End-user Experience entity-relationship model ER/Studio ER/Studio Data Architect ER/Studio Enterprise Team Edition events execution plans free tools galera cluster GDPR Getting Started Git GitHub Google Cloud Hadoop Healthcare high availability HIPAA Hive hybrid clouds Hyper-V IDERA IDERA ACE Index Analyzer index optimization infrastructure as a service (IaaS) infrastructure monitoring installation Integrated Development Environment interbase Inventory Manager IT infrastructure Java JD Edwards JSON licensing load test load testing logical data model macOS macros managed cloud database managed cloud databases MariaDB memory memorystorage memoryusage metadata metric baselines metric thresholds Microsoft Azure Microsoft Azure SQL Database Microsoft PowerShell Microsoft SQL Server Microsoft Windows MongoDB monitoring Monitoring Tools Monyog multiple platforms MySQL news newsletter NoSQL Notifications odbc optimization Oracle PeopleSoft performance Performance Dashboards performance metrics performance monitoring performance schema performance tuning personally identifiable information physical data model Platform platform as a service (PaaS) PostgreSQL Precise Precise for Databases Precise for Oracle Precise for SQL Server Precise Management Database (PMDB) product updates Project Migration public clouds Query Analyzer query builder query monitor query optimization query performance Query Store query tool query tuning query-level waits Rapid SQL rdbms real time monitoring Real User Monitoring recovery regulations relational databases Releases Reporting Reports repository Restore reverse engineering Roadmap sample SAP Scalability Security Policy Security Practices server monitoring Server performance server-level waits Service Level Agreement SkySQL slow query SNMP snowflake source control SQL SQL Admin Toolset SQL CM SQL code SQL coding SQL Compliance Manager SQL Defrag Manager sql development SQL Diagnostic Manager SQL Diagnostic Manager for MySQL SQL Diagnostic Manager for SQL Server SQL Diagnostic Manager Pro SQL DM SQL Doctor SQL Enterprise Job Manager SQl IM SQL Inventory Manager SQL Management Suite SQL Monitoring SQL Performance SQL Quality SQL query SQL Query Tuner SQL Safe Backup SQL script SQL Secure SQL Security Suite SQL Server sql server alert SQL Server Migration SQL Server Performance SQL Server Recommendations SQL Server Security SQL statement history SQL tuning SQL Virtual Database sqlmemory sqlserver SQLyog Storage Storage Performance structured data Subversion Support tempdb tempdb data temporal data Tips and Tricks troubleshooting universal data models universal mapping unstructured data Uptime Infrastructure Monitor user experience user permissions Virtual Machine (VM) web services webinar What-if analysis WindowsPowerShell

MySQL is one of the most popular and widely used database platforms in the world. If you are a DBA or database developer, there is a very high probability that at least some of the systems under your purview are powered by MySQL. The standard tasks such as user administration and ensuring that the databases are backed up and can be restored are important facets of your daily responsibilities. You will also be charged with maintaining a high level of performance that addresses the concerns of the database’s users.

Creating backup jobs and setting up new user accounts are fairly straightforward tasks that should not be overly challenging to an experienced DBA. Even if you do not have extensive experience with MySQL, you will very quickly become comfortable with any idiosyncrasies that the platform presents. Performance tuning, on the other hand, can be a complicated undertaking. It can be difficult to identify the particular modifications that are required to speed up database response time and minimize calls from dissatisfied users. Most DBAs would welcome some assistance in optimizing their database performance.

Monitoring to the Rescue

Finding the areas in a database that need to be addressed to improve performance cannot be done randomly. You could spend months implementing hit or miss changes that do little to make things better. In some cases, your incorrect guesses can make things much worse. The issue of performance tuning needs to be done systematically. Information with which to make tuning decisions is vitally important.

The most common reason for user complaints when interacting with a web application is the speed at which the program returns the desired results. This might be a report which takes an inordinate amount of time to produce or queries that demonstrate a painfully slow response time. The problems are often not associated with the front-end application but are the results of issues with the underlying MySQL database. As a DBA, your job is to address this issue and find out where and why the database speed is being impacted.

Performance issues can suddenly pop up in places where everything was previously running smoothly. Slow and inefficiently coded queries are usually the prime culprit when performance lags on a MySQL database. Quickly identifying the top three queries that are causing the problems is a great place to begin your tuning efforts. The ability to look back at least three hours to find these queries gives you the best chance of addressing the real problems affecting your database.

Realtime monitoring will display the current state of your database and allows you to see which queries are being executed and which ones are slow. You can drill down on a particular query to analyze its details. This can shed light on ways that the query can be optimized. Perhaps the query needs to have an index added to it to streamline its performance. A built-in query analyzer can expedite this process by allowing you to locate performance gains directly from monitored data.

Generating alerts is a fundamental feature of a comprehensive monitoring tool that informs the database team of problems before they start affecting users. The ability to customize the monitoring application allows you to determine exactly what gets monitored and how warning messages are created. You want to control alert generation to avoid overload which can eventually lead to important messages being ignored.

The Right Tool for MySQL Monitoring

The monitoring tips outlined above make use of SQL Diagnostic Manager for MySQL. It offers an agentless MySQL monitoring solution which enables your database team to identify the problem queries that need to be tuned to optimize performance. Proactive altering, the ability to quickly find slow-running queries, and the capacity to kill locked queries are features that make this an excellent tool for MySQL DBAs.

IDERA’s SQL Diagnostic Manager for MySQL was recently renamed from its previous title, Monyog. Don’t be confused when the application is referenced by that name in this instructional video which demonstrates how the tool can be used to tune database performance. The video takes a deeper look at the points discussed in this post and is well worth watching if you want to improve the performance of your MySQL databases. The 60 minutes spent viewing the video will repay you handsomely in ideas for tuning your systems and keeping your users happy.