The document discusses MySQL monitoring using various tools and techniques. It covers basic monitoring of system resources and database health using commands like top, mytop and check_mysql. It also discusses advanced monitoring solutions like Nagios plugins, MySQL Activity Report, CACTI and Munin for more in-depth performance and replication monitoring. Specifically, it provides details on using the Nagios check_mysql_health plugin to monitor various MySQL metrics and parameters.
The document summarizes a hacking attack on a company called mBank. The attack involved scanning the website for vulnerabilities, finding credentials in PHP files that allowed accessing the MySQL database, and uploading a PHP shell to gain remote access. Key steps included SQL injection to find files on the server, extracting credentials from the configuration file to access the database as the root user, and using the database to upload a web shell.
Percona Toolkit for Effective MySQL AdministrationMydbops
The document discusses various tools from the Percona Toolkit that can be used for effective MySQL administration. It describes tools like pt-config-diff to find configuration differences, pt-query-digest to analyze MySQL queries from logs, pt-duplicate-key-checker to check for duplicate indexes, and pt-table-checksum to perform replication consistency checks. Installation instructions and usage examples are provided for some of the key tools.
New features in Performance Schema 5.7 in actionSveta Smirnova
New features in Performance Schema 5.7 in action provides an overview of Performance Schema improvements in MySQL 5.7 and 8.0 including new tables, instruments, and variables. It demonstrates how to use Performance Schema to diagnose locks, memory usage, stored routines, and prepared statements. Examples show identifying blocking locks, measuring memory usage by thread, and instrumentation of stored procedure execution and prepared statement statistics.
The document discusses new features in MySQL 5.6 replication including:
1) Crash-safe slaves that store replication information in database tables to prevent data loss if slaves crash.
2) Multi-threaded slaves that improve performance by distributing the replication workload across multiple threads.
3) Time-delayed replication that allows replication to be delayed by a configurable number of seconds.
4) Optimized row-based replication that reduces the size of binary logs by only replicating changed columns where possible.
MySQL Audit using Percona audit plugin and ELKI Goo Lee
This document discusses setting up MySQL auditing using the Percona Audit Plugin and ELK (Elasticsearch, Logstash, Kibana). It describes installing and configuring the Percona Audit Plugin on MySQL servers to generate JSON audit logs. It then covers using Rsyslog or Filebeat to ship the logs to the Logstash server, and configuring Logstash to parse, enrich, and index the logs into Elasticsearch. Finally, it discusses visualizing the audit data with Kibana dashboards containing graphs and searching. The architecture involves MySQL servers generating logs, Logstash collecting and processing them, and Elasticsearch and Kibana providing search and analytics.
Managing MariaDB Server operations with Percona ToolkitSveta Smirnova
This document summarizes various tools from Percona Toolkit that can be used to manage and monitor MariaDB server operations. It describes how pt-summary, pt-mysql-summary, and pt-stalk can be used to gather hardware, OS, and server information. It also outlines how pt-query-digest analyzes slow query logs, pt-online-schema-change allows online schema changes, pt-kill terminates connections, and pt-heartbeat and pt-slave-find help manage replication.
The document summarizes a hacking attack on a company called mBank. The attack involved scanning the website for vulnerabilities, finding credentials in PHP files that allowed accessing the MySQL database, and uploading a PHP shell to gain remote access. Key steps included SQL injection to find files on the server, extracting credentials from the configuration file to access the database as the root user, and using the database to upload a web shell.
Percona Toolkit for Effective MySQL AdministrationMydbops
The document discusses various tools from the Percona Toolkit that can be used for effective MySQL administration. It describes tools like pt-config-diff to find configuration differences, pt-query-digest to analyze MySQL queries from logs, pt-duplicate-key-checker to check for duplicate indexes, and pt-table-checksum to perform replication consistency checks. Installation instructions and usage examples are provided for some of the key tools.
New features in Performance Schema 5.7 in actionSveta Smirnova
New features in Performance Schema 5.7 in action provides an overview of Performance Schema improvements in MySQL 5.7 and 8.0 including new tables, instruments, and variables. It demonstrates how to use Performance Schema to diagnose locks, memory usage, stored routines, and prepared statements. Examples show identifying blocking locks, measuring memory usage by thread, and instrumentation of stored procedure execution and prepared statement statistics.
The document discusses new features in MySQL 5.6 replication including:
1) Crash-safe slaves that store replication information in database tables to prevent data loss if slaves crash.
2) Multi-threaded slaves that improve performance by distributing the replication workload across multiple threads.
3) Time-delayed replication that allows replication to be delayed by a configurable number of seconds.
4) Optimized row-based replication that reduces the size of binary logs by only replicating changed columns where possible.
MySQL Audit using Percona audit plugin and ELKI Goo Lee
This document discusses setting up MySQL auditing using the Percona Audit Plugin and ELK (Elasticsearch, Logstash, Kibana). It describes installing and configuring the Percona Audit Plugin on MySQL servers to generate JSON audit logs. It then covers using Rsyslog or Filebeat to ship the logs to the Logstash server, and configuring Logstash to parse, enrich, and index the logs into Elasticsearch. Finally, it discusses visualizing the audit data with Kibana dashboards containing graphs and searching. The architecture involves MySQL servers generating logs, Logstash collecting and processing them, and Elasticsearch and Kibana providing search and analytics.
Managing MariaDB Server operations with Percona ToolkitSveta Smirnova
This document summarizes various tools from Percona Toolkit that can be used to manage and monitor MariaDB server operations. It describes how pt-summary, pt-mysql-summary, and pt-stalk can be used to gather hardware, OS, and server information. It also outlines how pt-query-digest analyzes slow query logs, pt-online-schema-change allows online schema changes, pt-kill terminates connections, and pt-heartbeat and pt-slave-find help manage replication.
The document provides configuration instructions and guidelines for setting up streaming replication between a PostgreSQL master and standby server, including setting parameter values for wal_level, max_wal_senders, wal_keep_segments, creating a dedicated replication role, using pg_basebackup to initialize the standby, and various recovery target options to control the standby's behavior. It also discusses synchronous replication using replication slots and monitoring the replication process on both the master and standby servers.
Caching and tuning fun for high scalabilityWim Godden
Caching has been a 'hot' topic for a few years. But caching takes more than merely taking data and putting it in a cache : the right caching techniques can improve performance and reduce load significantly. But we'll also look at some major pitfalls, showing that caching the wrong way can bring down your site. If you're looking for a clear explanation about various caching techniques and tools like Memcached, Nginx and Varnish, as well as ways to deploy them in an efficient way, this talk is for you.
1. The document configures Oracle database cloud with two nodes using container database and shared servers. It checks the status of the dispatcher and shared servers on node 1 and confirms connection between the nodes.
2. It provides instructions to connect node 2 using Putty SSH and save the TNS name of node 1 in tnsnames.ora on node 2.
3. After connecting, it checks the status of dispatcher and shared servers to confirm two shared servers are configured across the two nodes.
This document discusses using Active Session History (ASH) to analyze and troubleshoot performance issues in an Oracle database. It provides an example of using ASH to identify the top CPU-consuming session over the last 5 minutes. It shows how to group and count ASH data to calculate metrics like average active sessions (AAS) and percentage of time spent on CPU. The document also discusses using ASH to identify top waiting sessions and analyze specific wait events like buffer busy waits.
This document provides an overview of how to set up and manage a MongoDB sharded cluster. It describes the key components of a sharded cluster including shards, config servers, and mongos query routers. It then provides step-by-step instructions for deploying, upgrading, and troubleshooting a sharded cluster. The document explains how to configure shards, config servers, and mongos processes. It also outlines best practices for upgrading between minor and major versions of MongoDB.
Using Apache Spark and MySQL for Data AnalysisSveta Smirnova
The document discusses using Apache Spark and MySQL for data analysis. It provides examples of loading Wikipedia usage statistics (Wikistats) data into both MySQL and Spark for analysis. Loading the full 10+ TB of Wikistats data into MySQL took over a month, while Spark was able to scan and analyze the entire dataset in under an hour by leveraging its ability to perform distributed, parallel processing across multiple nodes. The document compares key differences between Spark and MySQL for big data processing, such as Spark's lack of indexes but ability to perform full scans in parallel across nodes.
This document outlines the steps to install Oracle Grid Infrastructure and configure an Oracle Real Application Clusters (RAC) database with iSCSI high availability on two nodes. It describes pre-requisite tasks like setting up repositories, installing Oracle Grid and database packages, configuring users, directories and environment variables. Specific steps covered include bonding network interfaces, configuring the hosts file, setting swap space and installing Oracle Grid software.
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
Ash masters : advanced ash analytics on Oracle Kyle Hailey
The document discusses database performance tuning. It recommends using Active Session History (ASH) and sampling sessions to identify the root causes of performance issues like buffer busy waits. ASH provides key details on sessions, SQL statements, wait events, and durations to understand top resource consumers. Counting rows in ASH approximates time spent and is important for analysis. Sampling sessions in real-time can provide the SQL, objects, and blocking sessions involved in issues like buffer busy waits.
MySQL is a widely used open-source relational database management system. The presentation covered how to install, configure, start, stop, and connect to MySQL. It also discussed how to load and view data, backup databases, set up user authentication, and where to go for additional training resources. Common MySQL commands and tools were demonstrated.
This document provides an introduction and quickstart guide for MyAWR, a tool for collecting and analyzing performance data for MySQL databases. It describes what MyAWR is, its data model involving multiple tables, and how to install it along with its dependencies. Instructions are provided on initializing the MyAWR host table, adding jobs to crontab to periodically collect data and analyze slow logs, and using the MyAWR reporting tool to generate HTML reports on the collected performance metrics.
This document discusses MySQL multi-source replication, which enables a replication slave to receive transactions from multiple masters simultaneously. It provides configuration steps for setting up a MariaDB/Percona Server database as a multi-source replication slave, including ensuring unique server IDs and GTID domains for each master, defining replication connections, and enabling parallel replication threads to optimize transaction processing from multiple sources.
This document summarizes a presentation about the WiredTiger In-Memory storage engine for MongoDB compared to the standard WiredTiger B-Tree storage engine. The Percona Memory Engine can provide up to 1000 times faster performance for OLTP workloads and 10 times faster reads compared to WiredTiger by storing data entirely in memory instead of on disk. It uses WiredTiger's document-level locking and B-Tree structure but without disk access. Typical use cases for the in-memory engine include caching, session storage, and temporary collections. The presentation provides examples of how to configure and optimize the engine for different scenarios including replica sets, sharded clusters, and combining it with WiredTiger for persistence.
The document discusses techniques for hacking into Microsoft SQL and Oracle databases. It begins by outlining scanning and enumeration methods for MSSQL databases using Metasploit modules like mssql_login to identify accessible databases. It then discusses gaining access to databases by exploiting blank passwords or known vulnerabilities. The document continues explaining how to escalate privileges within databases and then moves on to discuss the "Operation CloudBurst" attack and references.
This document outlines the steps to install Oracle Grid Infrastructure and configure high availability for an Oracle database cluster using Grid, NFS, and IP failover. It describes prerequisites like installing Oracle Grid and database packages, configuring shared storage, creating Oracle user accounts, and bonding network interfaces. The steps also include configuring the Oracle environment, installing the Grid software, and basic post-installation configuration to enable high availability functionality.
This document discusses troubleshooting MySQL performance issues. It begins with an overview of MySQL server architecture and important components like the optimizer and storage engines. It then covers various diagnostic instruments for troubleshooting like log files, the Information Schema, and the Performance Schema. Specific issues covered include single statement performance using EXPLAIN, internal concurrency issues detected via locks diagnostics from sources like SHOW PROCESSLIST and the Performance Schema. The document provides examples of using these diagnostic tools to analyze and optimize query performance.
This document discusses various topics related to installing, configuring, and managing MySQL databases including:
- Using command line tools like mysqladmin and mysql to configure and manage MySQL.
- Installing MySQL via packages or source code and configuring startup settings.
- Creating, deleting, and managing databases, tables, and user privileges.
- Performing backups with mysqldump and restoring from backups.
- Monitoring the status of the MySQL server process.
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321maclean liu
The document discusses histograms in Oracle's cost-based optimizer (CBO). Histograms help improve cardinality estimates when data is skewed, leading to better query plans. They were introduced in Oracle 8 and are now automatically collected, with the number of buckets and type (frequency or height balanced) depending on the number of distinct values. The document provides background on histograms and how the CBO uses them to estimate selectivity and cardinality.
Nagios Conference 2012 - Sheeri Cabral - Alerting With MySQL and NagiosNagios
Sheeri Cabral's presentation on using Nagios plugin to generate dynamic values for MySQL Alerts.
The presentation was given during the Nagios World Conference North America held Sept 25-28th, 2012 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
The document provides guidelines for deploying an L.N.M.P environment on a 64-bit server. It specifies directory locations for source code, installed software, scripts and logs. It also outlines steps to update the system, install and configure MySQL, Nginx, PHP and other packages, including compiling Nginx with specific modules and options, setting Nginx as a service, and enabling syntax highlighting for Nginx configuration files.
The document provides configuration instructions and guidelines for setting up streaming replication between a PostgreSQL master and standby server, including setting parameter values for wal_level, max_wal_senders, wal_keep_segments, creating a dedicated replication role, using pg_basebackup to initialize the standby, and various recovery target options to control the standby's behavior. It also discusses synchronous replication using replication slots and monitoring the replication process on both the master and standby servers.
Caching and tuning fun for high scalabilityWim Godden
Caching has been a 'hot' topic for a few years. But caching takes more than merely taking data and putting it in a cache : the right caching techniques can improve performance and reduce load significantly. But we'll also look at some major pitfalls, showing that caching the wrong way can bring down your site. If you're looking for a clear explanation about various caching techniques and tools like Memcached, Nginx and Varnish, as well as ways to deploy them in an efficient way, this talk is for you.
1. The document configures Oracle database cloud with two nodes using container database and shared servers. It checks the status of the dispatcher and shared servers on node 1 and confirms connection between the nodes.
2. It provides instructions to connect node 2 using Putty SSH and save the TNS name of node 1 in tnsnames.ora on node 2.
3. After connecting, it checks the status of dispatcher and shared servers to confirm two shared servers are configured across the two nodes.
This document discusses using Active Session History (ASH) to analyze and troubleshoot performance issues in an Oracle database. It provides an example of using ASH to identify the top CPU-consuming session over the last 5 minutes. It shows how to group and count ASH data to calculate metrics like average active sessions (AAS) and percentage of time spent on CPU. The document also discusses using ASH to identify top waiting sessions and analyze specific wait events like buffer busy waits.
This document provides an overview of how to set up and manage a MongoDB sharded cluster. It describes the key components of a sharded cluster including shards, config servers, and mongos query routers. It then provides step-by-step instructions for deploying, upgrading, and troubleshooting a sharded cluster. The document explains how to configure shards, config servers, and mongos processes. It also outlines best practices for upgrading between minor and major versions of MongoDB.
Using Apache Spark and MySQL for Data AnalysisSveta Smirnova
The document discusses using Apache Spark and MySQL for data analysis. It provides examples of loading Wikipedia usage statistics (Wikistats) data into both MySQL and Spark for analysis. Loading the full 10+ TB of Wikistats data into MySQL took over a month, while Spark was able to scan and analyze the entire dataset in under an hour by leveraging its ability to perform distributed, parallel processing across multiple nodes. The document compares key differences between Spark and MySQL for big data processing, such as Spark's lack of indexes but ability to perform full scans in parallel across nodes.
This document outlines the steps to install Oracle Grid Infrastructure and configure an Oracle Real Application Clusters (RAC) database with iSCSI high availability on two nodes. It describes pre-requisite tasks like setting up repositories, installing Oracle Grid and database packages, configuring users, directories and environment variables. Specific steps covered include bonding network interfaces, configuring the hosts file, setting swap space and installing Oracle Grid software.
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
Ash masters : advanced ash analytics on Oracle Kyle Hailey
The document discusses database performance tuning. It recommends using Active Session History (ASH) and sampling sessions to identify the root causes of performance issues like buffer busy waits. ASH provides key details on sessions, SQL statements, wait events, and durations to understand top resource consumers. Counting rows in ASH approximates time spent and is important for analysis. Sampling sessions in real-time can provide the SQL, objects, and blocking sessions involved in issues like buffer busy waits.
MySQL is a widely used open-source relational database management system. The presentation covered how to install, configure, start, stop, and connect to MySQL. It also discussed how to load and view data, backup databases, set up user authentication, and where to go for additional training resources. Common MySQL commands and tools were demonstrated.
This document provides an introduction and quickstart guide for MyAWR, a tool for collecting and analyzing performance data for MySQL databases. It describes what MyAWR is, its data model involving multiple tables, and how to install it along with its dependencies. Instructions are provided on initializing the MyAWR host table, adding jobs to crontab to periodically collect data and analyze slow logs, and using the MyAWR reporting tool to generate HTML reports on the collected performance metrics.
This document discusses MySQL multi-source replication, which enables a replication slave to receive transactions from multiple masters simultaneously. It provides configuration steps for setting up a MariaDB/Percona Server database as a multi-source replication slave, including ensuring unique server IDs and GTID domains for each master, defining replication connections, and enabling parallel replication threads to optimize transaction processing from multiple sources.
This document summarizes a presentation about the WiredTiger In-Memory storage engine for MongoDB compared to the standard WiredTiger B-Tree storage engine. The Percona Memory Engine can provide up to 1000 times faster performance for OLTP workloads and 10 times faster reads compared to WiredTiger by storing data entirely in memory instead of on disk. It uses WiredTiger's document-level locking and B-Tree structure but without disk access. Typical use cases for the in-memory engine include caching, session storage, and temporary collections. The presentation provides examples of how to configure and optimize the engine for different scenarios including replica sets, sharded clusters, and combining it with WiredTiger for persistence.
The document discusses techniques for hacking into Microsoft SQL and Oracle databases. It begins by outlining scanning and enumeration methods for MSSQL databases using Metasploit modules like mssql_login to identify accessible databases. It then discusses gaining access to databases by exploiting blank passwords or known vulnerabilities. The document continues explaining how to escalate privileges within databases and then moves on to discuss the "Operation CloudBurst" attack and references.
This document outlines the steps to install Oracle Grid Infrastructure and configure high availability for an Oracle database cluster using Grid, NFS, and IP failover. It describes prerequisites like installing Oracle Grid and database packages, configuring shared storage, creating Oracle user accounts, and bonding network interfaces. The steps also include configuring the Oracle environment, installing the Grid software, and basic post-installation configuration to enable high availability functionality.
This document discusses troubleshooting MySQL performance issues. It begins with an overview of MySQL server architecture and important components like the optimizer and storage engines. It then covers various diagnostic instruments for troubleshooting like log files, the Information Schema, and the Performance Schema. Specific issues covered include single statement performance using EXPLAIN, internal concurrency issues detected via locks diagnostics from sources like SHOW PROCESSLIST and the Performance Schema. The document provides examples of using these diagnostic tools to analyze and optimize query performance.
This document discusses various topics related to installing, configuring, and managing MySQL databases including:
- Using command line tools like mysqladmin and mysql to configure and manage MySQL.
- Installing MySQL via packages or source code and configuring startup settings.
- Creating, deleting, and managing databases, tables, and user privileges.
- Performing backups with mysqldump and restoring from backups.
- Monitoring the status of the MySQL server process.
【Maclean liu技术分享】拨开oracle cbo优化器迷雾,探究histogram直方图之秘 0321maclean liu
The document discusses histograms in Oracle's cost-based optimizer (CBO). Histograms help improve cardinality estimates when data is skewed, leading to better query plans. They were introduced in Oracle 8 and are now automatically collected, with the number of buckets and type (frequency or height balanced) depending on the number of distinct values. The document provides background on histograms and how the CBO uses them to estimate selectivity and cardinality.
Nagios Conference 2012 - Sheeri Cabral - Alerting With MySQL and NagiosNagios
Sheeri Cabral's presentation on using Nagios plugin to generate dynamic values for MySQL Alerts.
The presentation was given during the Nagios World Conference North America held Sept 25-28th, 2012 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/nwcna
The document provides guidelines for deploying an L.N.M.P environment on a 64-bit server. It specifies directory locations for source code, installed software, scripts and logs. It also outlines steps to update the system, install and configure MySQL, Nginx, PHP and other packages, including compiling Nginx with specific modules and options, setting Nginx as a service, and enabling syntax highlighting for Nginx configuration files.
in LATVIAN language: Viens no galvenajiem datubāzes administratora uzdevumiem ir veikt datubāzes backup un prast no tā atjaunot datubāzi. Mysql bezmaksas versija nepiedāvā datubāzes administratoram ļoti daudz izvēles. Sava prezentācija es pastāstīšu par šādiem rīkiem:
-- MySQLdump
-- Percona XtraBackup
-- Mysql enterprise backup (MEB)
--Un citiem rīkiem kas palīdz man veikt db backup
The document discusses configuring a minimum WordPress configuration including using Nginx instead of Apache as the web server, adding CDN integration, making the web and database servers redundant, and tuning the MySQL configuration using mysqltuner.pl to check security, storage engines, and performance metrics and recommendations.
Nagios Conference 2013 - Sheeri Cabral - Alerting With MySQL and NagiosNagios
This document discusses using Nagios to monitor MySQL databases. It describes official and third-party Nagios plugins for MySQL monitoring, including check_mysql, check_mysql_query, and a custom Perl script called mysql_health_check.pl. The custom script allows flexible monitoring of system and status variables, caching of results, and calculations of rates and comparisons to previous runs. Example Nagios command definitions are provided to monitor connections, query rates, uptime, and other metrics.
The document summarizes Maycon Vitali's presentation on hacking embedded devices. It includes an agenda covering extracting firmware from devices using tools like BusPirate and flashrom, decompressing firmware to view file systems and binaries, emulating binaries using QEMU, reverse engineering code to find vulnerabilities, and details four vulnerabilities discovered in Ubiquiti networking devices designated as CVEs. The presentation aims to demonstrate common weaknesses in embedded device security and how tools can be used to analyze and hack these ubiquitous connected systems.
MySQL has a set of utilities written in Python that can do some amazing things for your MySQL instances from setting up replication with automatic fail over to copying database
How does PostgreSQL work with disks: a DBA's checklist in detail. PGConf.US 2015PostgreSQL-Consulting
This document discusses how PostgreSQL works with disks and provides recommendations for disk subsystem monitoring, hardware selection, and configuration tuning to optimize performance. It explains that PostgreSQL relies on disk I/O for reading pages, writing the write-ahead log (WAL), and checkpointing. It recommends monitoring disk utilization, IOPS, latency, and I/O wait. The document also provides tips for choosing hardware like SSDs or RAID configurations and configuring the operating system, file systems, and PostgreSQL to improve performance.
MySQL 5.7 innodb_enhance_partii_20160527Saewoong Lee
Release Date : 2016.05.27
Version : MySQL 5.7
Index :
- Part I : InnoDB Performance
- Part I : InnoDB Buffer Pool Flushing
- Part I : InnoDB internal Transaction General
- Part I : InnoDB Improved adaptive flushing
- Part II : InnoDB Online DDL
- Part II : Tablespace management
- Part II : InnoDB Bulk Load for Create Index
- Part II : InnoDB Temporary Tables
- Part II : InnoDB Full-Text CJK Support
- Part II : Support Syslog on Linux / Unix OS
- Part II : Performance_schema
- Part II : Useful tips
Using MySQL without Maatkit is like taking a photo without removing the camera's lens cap. Professional MySQL experts use this toolkit to help keep complex MySQL installations running smoothly and efficiently. This session will show you practical ways to use Maatkit every day.
This is the presentation delivered by Karthik.P.R at MySQL User Camp Bangalore on 09th June 2017. ProxySQL is a high performance MySQL Load Balancer Designed to scale database servers.
This presentation describes how to configure and leverage ProxySQL with
AWS Aurora,
Azure Database for MySQL
and CloudSQL for MySQL.
It details the various benefits, configuration, and monitoring.
Making MySQL Administration a Breeze - A Look Into a MySQL DBA's ToolchestLenz Grimmer
This document summarizes and compares several open source tools for MySQL administration. It discusses tools for tasks like monitoring, backups, auditing, performance tuning, and replication. Key tools mentioned include Maatkit, Openark kit, Kontrollkit, mytop, innotop, mydumper, xtrabackup, oak-security-audit, mysqltuner, and tools for monitoring and maintaining replication.
ProxySQL can be used with Amazon Aurora or other AWS solutions to improve security and performance. It can filter and redirect queries, caching results and load balancing connections across backend servers. Using ProxySQL's query rules, administrators can limit actions on the database by blocking or rewriting queries based on attributes of the client, query, or destination host group. This provides finer-grained control over queries than native AWS options alone. While ProxySQL has some performance overhead, using techniques like digest rules instead of regex matching can reduce this cost significantly.
MySQL replication allows data from a master database server to be copied to one or more slave database servers. It provides advantages like improving performance through load balancing, increasing data security with backups on slaves, and enabling analytics on slaves without impacting the master. Basic replication involves setting up a master server and slave server with unique IDs, configuring the master to log binary changes, and pointing the slave to the master so it can copy the binary log entries.
Helpful Juniper Tips and Tricks for New Network EngineersLizbeth E. Melendez
These Juniper commands will help new engineers learn how to configure and troubleshoot a network much quicker and more efficiently.
Connect with J.B.C. for more IT resources and industry insights:
YouTube ▶️youtube.com/channel/UCmJJUewPWfnyzvZRrFHlykA
J.B.C.'s Site ▶️https://www.jbcsec.com/insights
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-----C-----Y-----B-----E-----R-----&----S-----I-----G-----H-----T
The document discusses the glance-replicator tool in OpenStack. Glance-replicator allows replication of images between two glance servers. It can replicate images and also import and export images. The document provides examples of using glance-replicator commands like compare, livecopy to replicate images between two devstack all-in-one OpenStack environments. It demonstrates the initial state with only one environment having images and after replication both environments having the same set of images.
This document discusses strategies for tuning the performance of Microsoft Dynamics AX. It outlines tools for monitoring SQL Server performance like SQL Server Profiler. It recommends evaluating identified performance issues by analyzing processes with tools like the Dynamics AX Trace Parser and unidentified issues by checking hardware, software settings, and doing long-term data collection. Key tuning strategies include properly configuring hardware, SQL Server and AX settings, identifying inefficient queries, and treating the root causes rather than just symptoms.
神州数码 Jason pan future_clouddatacenterv2colderboy17
This document discusses trends in cloud computing and cloud data center design. It notes the evolution of cloud computing from early concepts to widespread adoption today. Key points covered include the growth of private clouds within large enterprises, the rise of big data and noSQL databases, and cloud providers expanding globally. The document also provides guidelines for designing highly scalable, efficient cloud data centers, focusing on factors like high density server configurations, modular designs, efficient cooling and power distribution, and reliability.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
7. Nagios check_mysql
#cd /usr/local/nagios/libexec/
# ./check_mysql –help //查看使用说明
• ........
• Usage: check_mysql [-d database] [-H host] [-P port] [-s socket]
• [-u user] [-p password] [-S]
• Options:
• -h, --help
• Print detailed help screen
• -V, --version
• Print version information
• -H, --hostname=ADDRESS
• Host name, IP Address, or unix socket (must be an absolute path)
• -P, --port=INTEGER
• Port number (default: 3306)
• -s, --socket=STRING
• Use the specified socket (has no effect if -H is used)
• -d, --database=STRING
• Check database with indicated name
• -u, --username=STRING
• Connect using the indicated username
• -p, --password=STRING
• Use the indicated password to authenticate the connection
• ==> IMPORTANT: THIS FORM OF AUTHENTICATION IS NOT SECURE!!! <==
• Your clear-text password could be visible as a process table entry
• -S, --check-slave //检测Slave状态.
• Check if the slave thread is running properly.
• -w, --warning
• Exit with WARNING status if slave server is more than INTEGER seconds
• behind master
• -c, --critical
• Exit with CRITICAL status if slave server is more then INTEGER seconds
• behind master
17. check_mysql_health
……….
Options:
--hostname
the database server's hostname
--port
the database's port. (default: 3306)
--socket
the database's unix socket.
--username
the mysql db user
--password
the mysql db user's password
--database
the database's name. (default: information_schema)
--warning
the warning range
--critical
the critical range
18. check_mysql_health
……….
--mode
the mode of the plugin. select one of the following keywords:
connection-time (Time to connect to the server)
连接到服务器的时间.
uptime (Time the server is running)
MySQL服务器运行的时间
threads-connected (Number of currently open connections)
数据库服器当前打开的连接
threadcache-hitrate (Hit rate of the thread-cache) 线程缓存命中率
------mysql replication 相关段------
slave-lag (Seconds behind master) 判断slave落后于master多少秒
slave-io-running (Slave io running: Yes) 表明Slave复制正常运行
slave-sql-running (Slave sql running: Yes) 表明Slave复制正常运行
用check_mysql 模块来替代这些功能更,check_mysql是用C写的执行速度更快. --check-slave
./check_mysql -H 192.168.169.123 -u netseek -p linuxtone -S 来解决
19. check_mysql_health
…….
--------查询缓存相关--------------------------------------------------------------------------------------------------
qcache-hitrate (Query cache hitrate)
查询命中率,这个比率越高则表明服务器的SELECT 查询性能就越好
qcache-lowmem-prunes (Query cache entries pruned because of low memory)
由于内存较小从缓和存删除的查询数量
增大query_cache_size的值,以减小lowmem,增加缓存命中率
keycache-hitrate (MyISAM key cache hitrate)n key缓存命中率
如果命中率低,则调大key_buffer_size
------InnoDB Cache命中率---------------------------------------------------------------------------------------
bufferpool-hitrate (InnoDB buffer pool hitrate) Innodb 缓冲池命中率
bufferpool-wait-free (InnoDB buffer pool waits for clean page available) Innodb的缓行
冲池等待清理页.
log-waits (InnoDB log waits because of a too small log buffer) 因为太小log缓冲区导致
inndob log等待.
----------------------------------------------------------------------------------------------------------------------------
20. check_mysql_health
-----------------------------------------------------------------------------------------------------------------------------
tablecache-hitrate (Table cache hitrate) 表缓存命中率
table-lock-contention (Table lock contention) 连接锁表率
table_locks_waited/table_locaks_immediate
table_locak_waited:不能立即获得的表的锁表次数
table_locak_immediate: 立即获得的表的锁表次数.
小于1%较优,如果1%需要引起注意,>3% 性能问题.
index-usage (Usage of indices) 索引使用情况.
tmp-disk-tables (Percent of temp tables created on disk) 临时表创建立.
slow-queries (Slow queries) 慢查询
long-running-procs (long running processes) 长期运行的进程.
cluster-ndbd-running (ndnd nodes are up and running) ndbd 集群节点运行状况
sql (any sql command returning a single number) 执行返回一个数字的任何SQL
。。。。。。。。。
告警值规则:
"10" means "Alert, if > 10" and
"90:" means "Alert, if < 90“