Denish Patel, a database architect at OmniTi, gave a presentation on the RubyRep database replication tool. RubyRep is an asynchronous master-master and master-slave replication tool that is easy to install, platform independent, and supports large objects and tables without primary keys. It was developed as an alternative to Slony because Slony has limitations such as requiring tables to have primary keys and not supporting large objects or master-master replication. The presentation covered how to install, configure, scan, sync, and replicate databases using RubyRep.
This document provides an overview of memcached, a distributed memory caching system. It discusses memcached's architecture, applications, clients including PHP clients, operations, optimizations, and alternatives. The document is presented by Andrei Zmievski from Digg at OSCON 2009 and focuses on using memcached for distributed PHP applications.
The document discusses evaluating different NoSQL databases to replace a PostgreSQL database that is expected to become a performance bottleneck due to high volume growth that is unpredictable and non-linear. It summarizes the criteria for the NoSQL solution, including the ability to scale horizontally, good performance for Ruby, and active development. Several NoSQL databases are evaluated, including MongoDB, Redis, Cassandra, HBase, and Membase. MongoDB, Redis, and Cassandra are discussed in more detail regarding experiences and performance.
The document discusses MongoDB, a document-oriented NoSQL database. It covers topics such as MongoDB's schema-free data model, replication and sharding capabilities. MongoDB is presented as an alternative to traditional relational databases like MySQL, with advantages such as its flexible document data model and built-in replication and sharding.
MariaDB started life as a database to host the Maria storage engine in 2009. Not long after its inception, the MySQL community went through yet another change in ownership, and it was deemed that MariaDB will be a complete database branch developed to extend MySQL, but with constant merging of upstream changes.
The goal of the MariaDB project is to ensure that everyone is part of the community, including employees of the major steering companies. MariaDB also features enhanced features, some of which are common with the Percona Performance Server. Most importantly, MariaDB is a drop-in replacement and is completely backward compatible with MySQL. In 2010, MariaDB released 5.1 in February, and 5.2 in November – two major releases in a span of one calendar year is a feat that was achieved!
DBAs and developers alike will gain an introduction to MariaDB, what is different with MySQL, how to make use of the feature enhancements, and more.
This document summarizes MongoDB, an open-source document database. It discusses MongoDB's features such as schema flexibility, replication, auto-sharding, and GridFS for storing files. It also provides tips on monitoring MongoDB performance and configuration best practices for replication, sharding, and GridFS.
The document discusses modern Java concurrency and provides examples of how to write concurrent code safely and take advantage of modern hardware. It introduces key concepts like the java.util.concurrent package, locks, conditions, concurrent data structures, executors and fork/join. Examples are provided for using constructs like CountDownLatch, LinkedBlockingQueue, thread pools and fork/join tasks. The overall message is that modern Java concurrency allows safer and faster concurrent programming compared to traditional approaches.
MariaDB: in-depth (hands on training in Seoul)Colin Charles
MariaDB is a community-developed fork of MySQL that aims to be a drop-in replacement. It focuses on being compatible, stable with no regressions, and feature-enhanced compared to MySQL. The presentation covered MariaDB's architecture including connections, query caching, storage engines, and tools for administration and development like mysql, mysqldump, and EXPLAIN.
The document discusses best practices for deploying MongoDB including sizing hardware with sufficient memory, CPU and I/O; using an appropriate operating system and filesystem; installing and upgrading MongoDB; ensuring durability with replication and backups; implementing security, monitoring performance with tools, and considerations for deploying on Amazon EC2.
This document provides an overview of memcached, a distributed memory caching system. It discusses memcached's architecture, applications, clients including PHP clients, operations, optimizations, and alternatives. The document is presented by Andrei Zmievski from Digg at OSCON 2009 and focuses on using memcached for distributed PHP applications.
The document discusses evaluating different NoSQL databases to replace a PostgreSQL database that is expected to become a performance bottleneck due to high volume growth that is unpredictable and non-linear. It summarizes the criteria for the NoSQL solution, including the ability to scale horizontally, good performance for Ruby, and active development. Several NoSQL databases are evaluated, including MongoDB, Redis, Cassandra, HBase, and Membase. MongoDB, Redis, and Cassandra are discussed in more detail regarding experiences and performance.
The document discusses MongoDB, a document-oriented NoSQL database. It covers topics such as MongoDB's schema-free data model, replication and sharding capabilities. MongoDB is presented as an alternative to traditional relational databases like MySQL, with advantages such as its flexible document data model and built-in replication and sharding.
MariaDB started life as a database to host the Maria storage engine in 2009. Not long after its inception, the MySQL community went through yet another change in ownership, and it was deemed that MariaDB will be a complete database branch developed to extend MySQL, but with constant merging of upstream changes.
The goal of the MariaDB project is to ensure that everyone is part of the community, including employees of the major steering companies. MariaDB also features enhanced features, some of which are common with the Percona Performance Server. Most importantly, MariaDB is a drop-in replacement and is completely backward compatible with MySQL. In 2010, MariaDB released 5.1 in February, and 5.2 in November – two major releases in a span of one calendar year is a feat that was achieved!
DBAs and developers alike will gain an introduction to MariaDB, what is different with MySQL, how to make use of the feature enhancements, and more.
This document summarizes MongoDB, an open-source document database. It discusses MongoDB's features such as schema flexibility, replication, auto-sharding, and GridFS for storing files. It also provides tips on monitoring MongoDB performance and configuration best practices for replication, sharding, and GridFS.
The document discusses modern Java concurrency and provides examples of how to write concurrent code safely and take advantage of modern hardware. It introduces key concepts like the java.util.concurrent package, locks, conditions, concurrent data structures, executors and fork/join. Examples are provided for using constructs like CountDownLatch, LinkedBlockingQueue, thread pools and fork/join tasks. The overall message is that modern Java concurrency allows safer and faster concurrent programming compared to traditional approaches.
MariaDB: in-depth (hands on training in Seoul)Colin Charles
MariaDB is a community-developed fork of MySQL that aims to be a drop-in replacement. It focuses on being compatible, stable with no regressions, and feature-enhanced compared to MySQL. The presentation covered MariaDB's architecture including connections, query caching, storage engines, and tools for administration and development like mysql, mysqldump, and EXPLAIN.
The document discusses best practices for deploying MongoDB including sizing hardware with sufficient memory, CPU and I/O; using an appropriate operating system and filesystem; installing and upgrading MongoDB; ensuring durability with replication and backups; implementing security, monitoring performance with tools, and considerations for deploying on Amazon EC2.
This document discusses using Ruby for distributed storage systems. It describes components like Bigdam, which is Treasure Data's new data ingestion pipeline. Bigdam uses microservices and a distributed key-value store called Bigdam-pool to buffer data. The document discusses designing and testing Bigdam using mocking, interfaces, and integration tests in Ruby. It also explores porting Bigdam-pool from Java to Ruby and investigating Ruby's suitability for tasks like asynchronous I/O, threading, and serialization/deserialization.
Achieving Infrastructure Portability with ChefMatt Ray
Deploying to the cloud has made it easy to run large numbers of servers, but users may become dissatisfied with their particular cloud platform for reasons such as price, support and performance. There are a number of vendor lock-ins to avoid, this talk discusses how to do so with the open source configuration management and infrastructure automation platform Chef. Chef makes it easy to deploy to nearly every public and private cloud platform as well as virtualized and physical servers. Chef may also be used to deploy cloud infrastructures such as OpenStack, Eucalyptus or CloudStack. By abstracting away the platform, infrastructure becomes portable and you are free to deploy wherever necessary.
Performance Benchmarking: Tips, Tricks, and Lessons LearnedTim Callaghan
Presentation covering 25 years worth of lessons learned while performance benchmarking applications and databases. Presented at Percona Live London in November 2014.
This document summarizes the experiences of operating Rails websites at stable scale. It discusses using virtualization to run multiple websites on a single server. It provides tips for optimizing performance including database tuning, adding indexes, log rotation, and restarting Mongrel processes periodically. New Rails sites are launched using the newest framework versions and different web servers like Passenger are tested for performance.
Chef for OpenStack - OpenStack Fall 2012 SummitMatt Ray
Chef for OpenStack is a collaborative project for the deployment and management of OpenStack clouds. This is an overview of the status of the project at the OpenStack Fall 2012 Summit
This document discusses Chef for OpenStack, which uses Chef to automate the deployment and management of OpenStack. It provides concise summaries of key points:
- Chef for OpenStack includes cookbooks for common OpenStack components like Keystone, Glance, Nova, and Swift that can be used to programmatically deploy and manage OpenStack infrastructure.
- The Chef community contributes to OpenStack-related cookbooks that are open source and available on GitHub, helping reduce fragmentation and encourage collaboration around automating OpenStack.
- Chef allows OpenStack infrastructures to be treated like code, with configurations version controlled and deployments that can be automatically reconstructed from backups, improving supportability and portability across environments.
MesosCon EU 2017 - Criteo - Operating Mesos-based Infrastructurespierrecdn -
Given the nature of its business, Criteo has a tremendous need for scalability.
Historically based on bare-metal infrastructure and serving billions of user requests per day with the lowest latencies, we present in this talk how Mesos became a first-class citizen on our platform.
The document discusses dbdeployer, a command line tool for deploying and testing MySQL database topologies. It can deploy single or multiple MySQL instances, as well as complex topologies like replication, group replication, and multi-source replication with a single command. Dbdeployer aims to make deploying and testing databases fast and easy by avoiding repetitive manual tasks. It has features for upgrading and importing existing databases.
Australian OpenStack User Group August 2012: Chef for OpenStackMatt Ray
This document discusses how Chef can be used to deploy and manage OpenStack infrastructure. It provides an overview of Chef's capabilities for infrastructure automation including defining servers, applications, and databases through code and templates. The document also describes the Chef for OpenStack project which provides cookbooks for deploying OpenStack components like Keystone, Glance, Nova, etc. It promotes the community around automating OpenStack deployment and management with Chef.
Chef is an open source configuration management and service integration automation tool that has been integral to a number of large successful OpenStack deployments. This talk will provide a brief introduction to Chef and why it frequently the configuration tool of choice for large deployments and discuss the use of Chef within the OpenStack ecosystem (development, testing, deploying and managing the installation). Chef also provides the ability to manage the instances running on top of Nova through the knife-openstack plugin.
This document discusses using NServiceBus on Microsoft Azure. It provides an overview of Azure, hosting options on Azure including cloud services and virtual machines, recommended transports like Azure Storage Queues and Service Bus, persistence options like Azure Storage, and tips for developing on Azure. The presenter emphasizes that Azure has different characteristics than on-premises that require retries, idempotency, and avoiding reliance on transactions or local disk.
Tommi Reiman discusses optimizing Clojure performance and abstractions. He shares lessons learned from optimizing middleware performance and JSON serialization. Data-driven approaches can enable high performance while maintaining abstraction. Reitit is a new routing library that aims to have the fastest performance through techniques like compiled routing data. Middleware can also benefit from data-driven approaches without runtime penalties. Overall performance should be considered but not obsessively, as many apps do not require extreme optimization.
The document discusses the evolution of cyber weapons and offensive security tools from 1999 to today. It describes how such tools have progressed from being in their infancy to becoming highly sophisticated. A key point is that many military and government contractors now openly use open source tools like Metasploit due to their capabilities, cost effectiveness, and the ability to easily adapt them. The document highlights the features and power of the Metasploit framework, including its modular design, wide range of exploits and payloads, automation capabilities, and use by many organizations for tasks like vulnerability research and penetration testing at scale.
Transitioning From SQL Server to MySQL - Presentation from Percona Live 2016Dylan Butler
What if you were asked to support a database platform that you had never worked with before? First you would probably say no, but after you lost that fight, then what? That is exactly how I came to support MySQL. Over the last year my team has worked to learn MySQL, architect a production environment, and figure out how to support it alongside our other platforms (Microsoft SQL Server and Oracle). Along the way, I have also come to appreciate the unique offering of this platform and see it as an important part of our environment going forward.
To make things even more challenging, our first MySQL databases were the backend for a critical, web based application that needed to be highly available across multiple data centers. This meant that we did not have the luxury of standing up a simpler environment to start with and building confidence there. Our final architecture ended up using a five node Percona XtraDB Cluster spread across three data centers.
This session will focus on lessons learned along the way, as well as challenges related to supporting more than one database platforms. It should be interesting to anyone who is new to MySQL, anyone who is being asked to support more than one database platform, or anyone who wants to see how an outsider views the platform.
This document provides an overview of the RavenDB document database. It notes that RavenDB is schema-less, document-based, and designed for large clusters without SQL. Key features include indexing, auto-indexing, map/reduce capabilities, suggestions, statistics, and extensibility through MEF. RavenDB is aimed at storing complex object graphs and providing fast reads and writes on single documents through its document model.
The document provides guidance on deploying MongoDB in production environments. It discusses sizing hardware requirements for memory, CPU, and disk I/O. It also covers installing and upgrading MongoDB, considerations for cloud platforms like EC2, security, backups, durability, scaling out, and monitoring. The focus is on performance optimization and ensuring data integrity and high availability.
This document discusses scalability concepts and practices. It provides examples of how LiveJournal scaled their infrastructure from 1 server to 45 servers by adding more hardware resources like CPUs and databases, and software solutions like caching and load balancing. The key lessons are that using multiple scalability solutions intelligently is best, hardware will likely need to be added, and system knowledge is important to understand bottlenecks. The goal of scaling is to allow for easy growth.
This document discusses advanced Postgres monitoring. It begins with an introduction of the speaker and an agenda for the discussion. It then covers selection criteria for monitoring solutions, compares open source and SAAS monitoring options, and provides examples of collecting specific Postgres metrics using CollectD. It also discusses alerting, handling monitoring changes, and being prepared to respond to incidents outside of normal hours.
Out of the Box Replication in Postgres 9.4(PgConfUS)Denish Patel
This document contains notes from a presentation on PostgreSQL replication. It discusses write-ahead logs (WAL), replication history in PostgreSQL from versions 7.0 to 9.4, how to set up basic replication, tools for backups and monitoring replication, and demonstrates setting up replication without third party tools using pg_basebackup, replication slots, and pg_receivexlog. Contact information is provided for the presenter and information on their employer, Medallia, is included at the end.
This document discusses using Ruby for distributed storage systems. It describes components like Bigdam, which is Treasure Data's new data ingestion pipeline. Bigdam uses microservices and a distributed key-value store called Bigdam-pool to buffer data. The document discusses designing and testing Bigdam using mocking, interfaces, and integration tests in Ruby. It also explores porting Bigdam-pool from Java to Ruby and investigating Ruby's suitability for tasks like asynchronous I/O, threading, and serialization/deserialization.
Achieving Infrastructure Portability with ChefMatt Ray
Deploying to the cloud has made it easy to run large numbers of servers, but users may become dissatisfied with their particular cloud platform for reasons such as price, support and performance. There are a number of vendor lock-ins to avoid, this talk discusses how to do so with the open source configuration management and infrastructure automation platform Chef. Chef makes it easy to deploy to nearly every public and private cloud platform as well as virtualized and physical servers. Chef may also be used to deploy cloud infrastructures such as OpenStack, Eucalyptus or CloudStack. By abstracting away the platform, infrastructure becomes portable and you are free to deploy wherever necessary.
Performance Benchmarking: Tips, Tricks, and Lessons LearnedTim Callaghan
Presentation covering 25 years worth of lessons learned while performance benchmarking applications and databases. Presented at Percona Live London in November 2014.
This document summarizes the experiences of operating Rails websites at stable scale. It discusses using virtualization to run multiple websites on a single server. It provides tips for optimizing performance including database tuning, adding indexes, log rotation, and restarting Mongrel processes periodically. New Rails sites are launched using the newest framework versions and different web servers like Passenger are tested for performance.
Chef for OpenStack - OpenStack Fall 2012 SummitMatt Ray
Chef for OpenStack is a collaborative project for the deployment and management of OpenStack clouds. This is an overview of the status of the project at the OpenStack Fall 2012 Summit
This document discusses Chef for OpenStack, which uses Chef to automate the deployment and management of OpenStack. It provides concise summaries of key points:
- Chef for OpenStack includes cookbooks for common OpenStack components like Keystone, Glance, Nova, and Swift that can be used to programmatically deploy and manage OpenStack infrastructure.
- The Chef community contributes to OpenStack-related cookbooks that are open source and available on GitHub, helping reduce fragmentation and encourage collaboration around automating OpenStack.
- Chef allows OpenStack infrastructures to be treated like code, with configurations version controlled and deployments that can be automatically reconstructed from backups, improving supportability and portability across environments.
MesosCon EU 2017 - Criteo - Operating Mesos-based Infrastructurespierrecdn -
Given the nature of its business, Criteo has a tremendous need for scalability.
Historically based on bare-metal infrastructure and serving billions of user requests per day with the lowest latencies, we present in this talk how Mesos became a first-class citizen on our platform.
The document discusses dbdeployer, a command line tool for deploying and testing MySQL database topologies. It can deploy single or multiple MySQL instances, as well as complex topologies like replication, group replication, and multi-source replication with a single command. Dbdeployer aims to make deploying and testing databases fast and easy by avoiding repetitive manual tasks. It has features for upgrading and importing existing databases.
Australian OpenStack User Group August 2012: Chef for OpenStackMatt Ray
This document discusses how Chef can be used to deploy and manage OpenStack infrastructure. It provides an overview of Chef's capabilities for infrastructure automation including defining servers, applications, and databases through code and templates. The document also describes the Chef for OpenStack project which provides cookbooks for deploying OpenStack components like Keystone, Glance, Nova, etc. It promotes the community around automating OpenStack deployment and management with Chef.
Chef is an open source configuration management and service integration automation tool that has been integral to a number of large successful OpenStack deployments. This talk will provide a brief introduction to Chef and why it frequently the configuration tool of choice for large deployments and discuss the use of Chef within the OpenStack ecosystem (development, testing, deploying and managing the installation). Chef also provides the ability to manage the instances running on top of Nova through the knife-openstack plugin.
This document discusses using NServiceBus on Microsoft Azure. It provides an overview of Azure, hosting options on Azure including cloud services and virtual machines, recommended transports like Azure Storage Queues and Service Bus, persistence options like Azure Storage, and tips for developing on Azure. The presenter emphasizes that Azure has different characteristics than on-premises that require retries, idempotency, and avoiding reliance on transactions or local disk.
Tommi Reiman discusses optimizing Clojure performance and abstractions. He shares lessons learned from optimizing middleware performance and JSON serialization. Data-driven approaches can enable high performance while maintaining abstraction. Reitit is a new routing library that aims to have the fastest performance through techniques like compiled routing data. Middleware can also benefit from data-driven approaches without runtime penalties. Overall performance should be considered but not obsessively, as many apps do not require extreme optimization.
The document discusses the evolution of cyber weapons and offensive security tools from 1999 to today. It describes how such tools have progressed from being in their infancy to becoming highly sophisticated. A key point is that many military and government contractors now openly use open source tools like Metasploit due to their capabilities, cost effectiveness, and the ability to easily adapt them. The document highlights the features and power of the Metasploit framework, including its modular design, wide range of exploits and payloads, automation capabilities, and use by many organizations for tasks like vulnerability research and penetration testing at scale.
Transitioning From SQL Server to MySQL - Presentation from Percona Live 2016Dylan Butler
What if you were asked to support a database platform that you had never worked with before? First you would probably say no, but after you lost that fight, then what? That is exactly how I came to support MySQL. Over the last year my team has worked to learn MySQL, architect a production environment, and figure out how to support it alongside our other platforms (Microsoft SQL Server and Oracle). Along the way, I have also come to appreciate the unique offering of this platform and see it as an important part of our environment going forward.
To make things even more challenging, our first MySQL databases were the backend for a critical, web based application that needed to be highly available across multiple data centers. This meant that we did not have the luxury of standing up a simpler environment to start with and building confidence there. Our final architecture ended up using a five node Percona XtraDB Cluster spread across three data centers.
This session will focus on lessons learned along the way, as well as challenges related to supporting more than one database platforms. It should be interesting to anyone who is new to MySQL, anyone who is being asked to support more than one database platform, or anyone who wants to see how an outsider views the platform.
This document provides an overview of the RavenDB document database. It notes that RavenDB is schema-less, document-based, and designed for large clusters without SQL. Key features include indexing, auto-indexing, map/reduce capabilities, suggestions, statistics, and extensibility through MEF. RavenDB is aimed at storing complex object graphs and providing fast reads and writes on single documents through its document model.
The document provides guidance on deploying MongoDB in production environments. It discusses sizing hardware requirements for memory, CPU, and disk I/O. It also covers installing and upgrading MongoDB, considerations for cloud platforms like EC2, security, backups, durability, scaling out, and monitoring. The focus is on performance optimization and ensuring data integrity and high availability.
This document discusses scalability concepts and practices. It provides examples of how LiveJournal scaled their infrastructure from 1 server to 45 servers by adding more hardware resources like CPUs and databases, and software solutions like caching and load balancing. The key lessons are that using multiple scalability solutions intelligently is best, hardware will likely need to be added, and system knowledge is important to understand bottlenecks. The goal of scaling is to allow for easy growth.
Similar to Yet Another Replication Tool: RubyRep (20)
This document discusses advanced Postgres monitoring. It begins with an introduction of the speaker and an agenda for the discussion. It then covers selection criteria for monitoring solutions, compares open source and SAAS monitoring options, and provides examples of collecting specific Postgres metrics using CollectD. It also discusses alerting, handling monitoring changes, and being prepared to respond to incidents outside of normal hours.
Out of the Box Replication in Postgres 9.4(PgConfUS)Denish Patel
This document contains notes from a presentation on PostgreSQL replication. It discusses write-ahead logs (WAL), replication history in PostgreSQL from versions 7.0 to 9.4, how to set up basic replication, tools for backups and monitoring replication, and demonstrates setting up replication without third party tools using pg_basebackup, replication slots, and pg_receivexlog. Contact information is provided for the presenter and information on their employer, Medallia, is included at the end.
Out of the box replication in postgres 9.4(pg confus)Denish Patel
This document contains notes from a presentation on PostgreSQL replication. It discusses write-ahead logs (WAL), replication history in PostgreSQL from versions 7.0 to 9.4, how to set up basic replication, tools for backups and monitoring replication, and demonstrates setting up replication without third party tools using pg_basebackup, replication slots, and pg_receivexlog. It also includes contact information for the presenter and an invitation to join the PostgreSQL Slack channel.
Out of the Box Replication in Postgres 9.4(pgconfsf)Denish Patel
Denish Patel gave a presentation on PostgreSQL replication. He began by introducing himself and his background. He then discussed PostgreSQL write-ahead logging (WAL), replication history, and how replication is currently setup. The presentation covered replication slots, demoing replication without external tools using pg_basebackup, streaming replication with slots, and pg_receivexlog. Patel also discussed monitoring replication and answered questions from the audience.
Out of the Box Replication in Postgres 9.4(PgCon)Denish Patel
This document provides an overview of setting up out of the box replication in PostgreSQL 9.4 without third party tools. It discusses write-ahead logs (WAL), replication slots, pg_basebackup, pg_receivexlog and monitoring replication. The presenter then demonstrates setting up replication on VMs with pg_basebackup to initialize a standby, configuration of primary and standby servers, and monitoring replication status.
Out of the Box Replication in Postgres 9.4(PgCon)Denish Patel
The document provides an overview of out-of-the-box replication in PostgreSQL 9.4. It discusses PostgreSQL write-ahead logging (WAL), setting up basic streaming replication between a primary and standby server, taking base backups with pg_basebackup, and using replication slots and pg_receivexlog to archive WAL files without external tools. The presentation includes steps to set up a demo of this replication method on a virtual machine.
Out of the box replication in postgres 9.4Denish Patel
This document provides an overview of setting up out of the box replication in PostgreSQL 9.4 without third party tools. It discusses write-ahead logs (WAL), replication slots, pg_basebackup, and pg_receivexlog. The document then demonstrates setting up replication on VMs with pg_basebackup to initialize a standby server, configuration of primary and standby servers, and monitoring of replication.
This document discusses using PostgreSQL with Amazon RDS. It begins with an introduction to Amazon RDS and then discusses setting up a PostgreSQL RDS instance, available features like backups and monitoring, limitations, pricing, and references for further reading. The document is intended to provide an overview of deploying and managing PostgreSQL on Amazon RDS.
The document discusses top 10 factors to consider when choosing a database: 1) Credibility - assess reputation through independent reviews. 2) Proximity - consider location of available resources. 3) Affordability - evaluate total cost of ownership over time. 4) Maturity - review case studies and customer base. 5) Customer service - assess quality of product documentation and community support.
The document discusses scaling Postgres databases. It covers vertical and horizontal scaling techniques. Vertical scaling involves upgrading hardware resources like CPU, RAM and storage, while horizontal scaling involves adding multiple servers. The document provides tips for optimizing Postgres configuration, monitoring performance, and tuning queries.
Denish Patel deployed PostgreSQL on Amazon EC2 for a startup that had its entire IT architecture on the Amazon cloud. The initial deployment involved setting up master-slave configurations across two EC2 environments with issues like weekly instance failures and lack of monitoring. Patel then consolidated the environments, configured high availability using replication across availability zones and regions, implemented automation using Puppet, and added monitoring and backups to improve the stability and management of the PostgreSQL deployment.
The document discusses the challenges of big data including volume, velocity, variety, and veracity. It proposes using PostgreSQL and Hadoop together as a solution, with PostgreSQL serving as a multi-model database server that can handle structured, semi-structured, and unstructured data in relational, object-relational, nested-relational, array, key-value, document, and range formats. Hadoop is described as a distributed file structure that can perform ETL to convert unstructured to structured data for analytics, easily handle unstructured data like logs and streaming data, and enable parallel processing via MapReduce at the petabyte scale. The takeaway is that together, PostgreSQL and Hadoop can solve "most" big
Deploying Maximum HA Architecture With PostgreSQLDenish Patel
This document proposes a "Maximum HA architecture" for PostgreSQL that aims to provide 99.99% application uptime and reduce mean time to recovery (MTTR) for both planned and unplanned outages. It discusses using techniques like streaming replication, failover, hot backups, log shipping, PITR, and pg_reorg to achieve high availability and minimize downtime from system failures, data failures, planned maintenance, and data growth.
Deploying Maximum HA Architecture With PostgreSQLDenish Patel
This document proposes a "Maximum HA architecture" for PostgreSQL that aims to provide 99.99% application uptime and reduce mean time to recovery (MTTR) for planned and unplanned outages. It discusses using PostgreSQL features like streaming replication, failover, hot backups, WAL archiving and point-in-time recovery (PITR) to achieve high availability, prevent data loss from failures, and allow fast recovery from outages through redundancy and automation. The architecture builds upon traditional high availability techniques and aims to handle different types of failures including system failures, site failures, data failures, and planned changes through comprehensive disaster recovery planning.
This document provides information about database bloat and performance tuning. It introduces Denish Patel, a database architect with expertise in heterogeneous databases including PostgreSQL, Oracle and MySQL. The document discusses what causes database bloat, issues it can create, and tools for identifying, measuring and removing bloat. These include vacuum, vacuum full, cluster, pg_bloat_report, check_postgres_bloat, compact_table and pg_reorg. Monitoring and prevention techniques are also covered.
The document discusses achieving PCI compliance when using PostgreSQL for databases. It provides an overview of PCI requirements, how they apply to databases, and how PostgreSQL features like encryption, access control, and logging can help fulfill the requirements. Specific examples are given for how to implement encryption of cardholder data, restrict access according to the principle of least privilege, and maintain regularly updated software in PostgreSQL.
1) Oracle 10g introduces flashback query which allows users to query past states of data within a specified time period by accessing the undo logs.
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Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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1. Yet Another Replication Tool
RubyRep
/ Denish Patel
Database Architect
Friday, March 26, 2010 1
2. Who am I?
• With OmniTi for more than 3 years
• Manage high traffic database systems
• Replication database system deployments
• Not a core hacker of RubyRep
• “Oh, We are hiring!!”
• Contact : denish@omniti.com
Friday, March 26, 2010 2
3. Next 30 minutes ..
• Replication
• Various Tools
• Slony? Why another tool ?
• RubyRep
• Install
• Features
• Examples
• Tweaking replication policies
Friday, March 26, 2010 3
5. Tools
Program Type Method Based on
PgCluster -II Synchronous M-M Shared Disk
Slony-I Asynchronous M-S Trigger
Bucardo Asynchronous M-M, M-S Trigger
Londiste Asynchronous M-S Trigger
Mammoth Asynchronous M-S Log
RubyRep Asynchronous M-M, M-S Trigger
Friday, March 26, 2010 5
6. Why not Slony?
• Replicated tables MUST need PK or UK
• Doesn’t support large objects
• Doesn’t support synchronizing tables outside of replication
• Limitations of version compatibility
• Difficult to setup
• Doesn’t support Master - Master
• Difficult to monitor and manage
Friday, March 26, 2010 6