This document discusses PostgreSQL and its use with Drupal. It provides an overview of PostgreSQL, highlighting its features such as being object-relational, open source, standards compliant, and supporting advanced data types and indexes. It also discusses installing and managing PostgreSQL and Drupal together, and the benefits of using PostgreSQL with Drupal due to its advanced optimizer and support in Drupal through its database abstraction layer. Finally, it provides recommendations for different roles, such as considering PostgreSQL for its growth opportunities, learning new skills, and optimizing queries and caching when using it with Drupal.
These are the slides I presented at the Nosql Night in Boston on Nov 4, 2014. The slides were adapted from a presentation given by Steve Francia in 2011. Original slide deck can be found here:
http://spf13.com/presentation/mongodb-sort-conference-2011
PostgreSQL worst practices, version FOSDEM PGDay 2017 by Ilya KosmodemianskyPostgreSQL-Consulting
This talk is prepared as a bunch of slides, where each slide describes a really bad way people can screw up their PostgreSQL database and provides a weight - how frequently I saw that kind of problem. Right before the talk I will reshuffle the deck to draw ten random slides and explain you why such practices are bad and how to avoid running into them.
These are the slides I presented at the Nosql Night in Boston on Nov 4, 2014. The slides were adapted from a presentation given by Steve Francia in 2011. Original slide deck can be found here:
http://spf13.com/presentation/mongodb-sort-conference-2011
PostgreSQL worst practices, version FOSDEM PGDay 2017 by Ilya KosmodemianskyPostgreSQL-Consulting
This talk is prepared as a bunch of slides, where each slide describes a really bad way people can screw up their PostgreSQL database and provides a weight - how frequently I saw that kind of problem. Right before the talk I will reshuffle the deck to draw ten random slides and explain you why such practices are bad and how to avoid running into them.
PyData London 2015 - How We Turned EverythingMe Into a Data Driven CompanyArik Fraimovich
In the past 2 years we started a mission, of making our company data available to everyone at the company to help with better decision making. We first loaded all of our data into AWS's Redshift, but then we needed a tool to make this data accessible to everyone at the company. We first tried "traditional" BI tools, like Tableau and YellowFin, but it didn't feel right and it wasn't giving us the full power of Redshift.
This was the point when we decided to make our own tool - re:dash, that better aligns with our "hacker"/engineering culture at the company. We made a simple tool, that allowed you to write a query, utilizing the full power of Redshift, and share its result (along with the query) with your peers.
This high level of transparency in the work with data, helped us bring data to everyone's daily work. No more it was the realm of few, but accessible to everyone - with varying levels of knowledge of SQL. Some wrote queries, others just changed existing queries, but everyone had the same level of access.
In this talk I would like to review what we learned from this experience, and what new challenged we discovered beyond giving everyone access to the data, and how we plan to tackle them.
Optimizing MongoDB: Lessons Learned at Localyticsandrew311
Tips, tricks, and gotchas learned at Localytics for optimizing MongoDB installs. Includes information about document design, indexes, fragmentation, migration, AWS EC2/EBS, and more.
The presentation of the Drupal frontend optimizations from Drupal Camp LA 2011. The slides go over optimizations you do in the backend to serve files in the frontend faster and optimizations in the front end to css and javascript to make that aspect run faster.
MySQL Replication — Advanced Features / Петр Зайцев (Percona)Ontico
HighLoad++ 2017
Зал «Кейптаун», 8 ноября, 13:00
Тезисы:
http://www.highload.ru/2017/abstracts/2954.html
MySQL Replication is powerful and has added a lot of advanced features through the years. In this presentation we will look into replication technology in MySQL 5.7 and variants focusing on advanced features, what do they mean, when to use them and when not, Including.
When should you use STATEMENT, ROW or MIXED binary log format?
What is GTID in MySQL and MariaDB and why do you want to use them?
What is semi-sync replication and how is it different from lossless semi-sync?
...
In this webinar, we will be covering general best practices for running MongoDB on AWS.
Topics will range from instance selection to storage selection and service distribution to ensure service availability. We will also look at any specific best practices related to using WiredTiger. We will then shift gears and explore recommended strategies for managing your MongoDB instance on AWS.
This session also includes a live Q&A portion during which you are encouraged to ask questions of our team.
The DrupalCampLA 2011 presentation on backend performance. The slides go over optimizations that can be done through the LAMP (or now VAN LAMMP stack for even more performance) to get everything up and running.
When dealing with infrastructure we often go through the process of determining the different resources needed to attend our application requirements. This talks looks into the way that resources are used by MongoDB and which aspects should be considered to determined the sizing, capacity and deployment of a MongoDB cluster given the different scenarios, different sets of operations and storage engines available.
Making the case for write-optimized database algorithms / Mark Callaghan (Fac...Ontico
Write-optimized database algorithms have been available in NoSQL products for many years. With MyRocks, the RocksDB storage engine for MySQL, we are using a write-optimized algorithm for a SQL DBMS. This talk will explain why we created MyRocks and how to compare write-optimized algorithms with the ubiquitous B-Tree in terms of read, write and space efficiency. A large MySQL deployment at Facebook is in the process of migrating from InnoDB to MyRocks. With RocksDB storage engines for MySQL and MongoDB and the Vinyl storage engine for Tarantool we think it is likely that you can consider a write-optimized database engine in the next few years.
Operating PostgreSQL at Scale with KubernetesJonathan Katz
The maturation of containerization platforms has changed how people think about creating development environments and has eliminated many inefficiencies for deploying applications. These concept and technologies have made its way into the PostgreSQL ecosystem as well, and tools such as Docker and Kubernetes have enabled teams to run their own “database-as-a-service” on the infrastructure of their choosing.
All this sounds great, but if you are new to the world of containers, it can be very overwhelming to find a place to start. In this talk, which centers around demos, we will see how you can get PostgreSQL up and running in a containerized environment with some advanced sidecars in only a few steps! We will also see how it extends to a larger production environment with Kubernetes, and what the future holds for PostgreSQL in a containerized world.
We will cover the following:
* Why containers are important and what they mean for PostgreSQL
* Create a development environment with PostgreSQL, pgadmin4, monitoring, and more
* How to use Kubernetes to create your own "database-as-a-service"-like PostgreSQL environment
* Trends in the container world and how it will affect PostgreSQL
At the conclusion of the talk, you will understand the fundamentals of how to use container technologies with PostgreSQL and be on your way to running a containerized PostgreSQL environment at scale!
Whats wrong with postgres | PGConf EU 2019 | Craig KerstiensCitus Data
Postgres is a powerful database, it continues to improve in terms of performance, extensibility, and more broadly in features. However it is not perfect.
Here I'll cover a highly opinionated view of all the areas Postgres falls flat, with some rough thought ideas on how we can make it better. Opinions are all informed by 10 years of interacting with customers running literally millions of databases for users.
PyData London 2015 - How We Turned EverythingMe Into a Data Driven CompanyArik Fraimovich
In the past 2 years we started a mission, of making our company data available to everyone at the company to help with better decision making. We first loaded all of our data into AWS's Redshift, but then we needed a tool to make this data accessible to everyone at the company. We first tried "traditional" BI tools, like Tableau and YellowFin, but it didn't feel right and it wasn't giving us the full power of Redshift.
This was the point when we decided to make our own tool - re:dash, that better aligns with our "hacker"/engineering culture at the company. We made a simple tool, that allowed you to write a query, utilizing the full power of Redshift, and share its result (along with the query) with your peers.
This high level of transparency in the work with data, helped us bring data to everyone's daily work. No more it was the realm of few, but accessible to everyone - with varying levels of knowledge of SQL. Some wrote queries, others just changed existing queries, but everyone had the same level of access.
In this talk I would like to review what we learned from this experience, and what new challenged we discovered beyond giving everyone access to the data, and how we plan to tackle them.
Optimizing MongoDB: Lessons Learned at Localyticsandrew311
Tips, tricks, and gotchas learned at Localytics for optimizing MongoDB installs. Includes information about document design, indexes, fragmentation, migration, AWS EC2/EBS, and more.
The presentation of the Drupal frontend optimizations from Drupal Camp LA 2011. The slides go over optimizations you do in the backend to serve files in the frontend faster and optimizations in the front end to css and javascript to make that aspect run faster.
MySQL Replication — Advanced Features / Петр Зайцев (Percona)Ontico
HighLoad++ 2017
Зал «Кейптаун», 8 ноября, 13:00
Тезисы:
http://www.highload.ru/2017/abstracts/2954.html
MySQL Replication is powerful and has added a lot of advanced features through the years. In this presentation we will look into replication technology in MySQL 5.7 and variants focusing on advanced features, what do they mean, when to use them and when not, Including.
When should you use STATEMENT, ROW or MIXED binary log format?
What is GTID in MySQL and MariaDB and why do you want to use them?
What is semi-sync replication and how is it different from lossless semi-sync?
...
In this webinar, we will be covering general best practices for running MongoDB on AWS.
Topics will range from instance selection to storage selection and service distribution to ensure service availability. We will also look at any specific best practices related to using WiredTiger. We will then shift gears and explore recommended strategies for managing your MongoDB instance on AWS.
This session also includes a live Q&A portion during which you are encouraged to ask questions of our team.
The DrupalCampLA 2011 presentation on backend performance. The slides go over optimizations that can be done through the LAMP (or now VAN LAMMP stack for even more performance) to get everything up and running.
When dealing with infrastructure we often go through the process of determining the different resources needed to attend our application requirements. This talks looks into the way that resources are used by MongoDB and which aspects should be considered to determined the sizing, capacity and deployment of a MongoDB cluster given the different scenarios, different sets of operations and storage engines available.
Making the case for write-optimized database algorithms / Mark Callaghan (Fac...Ontico
Write-optimized database algorithms have been available in NoSQL products for many years. With MyRocks, the RocksDB storage engine for MySQL, we are using a write-optimized algorithm for a SQL DBMS. This talk will explain why we created MyRocks and how to compare write-optimized algorithms with the ubiquitous B-Tree in terms of read, write and space efficiency. A large MySQL deployment at Facebook is in the process of migrating from InnoDB to MyRocks. With RocksDB storage engines for MySQL and MongoDB and the Vinyl storage engine for Tarantool we think it is likely that you can consider a write-optimized database engine in the next few years.
Operating PostgreSQL at Scale with KubernetesJonathan Katz
The maturation of containerization platforms has changed how people think about creating development environments and has eliminated many inefficiencies for deploying applications. These concept and technologies have made its way into the PostgreSQL ecosystem as well, and tools such as Docker and Kubernetes have enabled teams to run their own “database-as-a-service” on the infrastructure of their choosing.
All this sounds great, but if you are new to the world of containers, it can be very overwhelming to find a place to start. In this talk, which centers around demos, we will see how you can get PostgreSQL up and running in a containerized environment with some advanced sidecars in only a few steps! We will also see how it extends to a larger production environment with Kubernetes, and what the future holds for PostgreSQL in a containerized world.
We will cover the following:
* Why containers are important and what they mean for PostgreSQL
* Create a development environment with PostgreSQL, pgadmin4, monitoring, and more
* How to use Kubernetes to create your own "database-as-a-service"-like PostgreSQL environment
* Trends in the container world and how it will affect PostgreSQL
At the conclusion of the talk, you will understand the fundamentals of how to use container technologies with PostgreSQL and be on your way to running a containerized PostgreSQL environment at scale!
Whats wrong with postgres | PGConf EU 2019 | Craig KerstiensCitus Data
Postgres is a powerful database, it continues to improve in terms of performance, extensibility, and more broadly in features. However it is not perfect.
Here I'll cover a highly opinionated view of all the areas Postgres falls flat, with some rough thought ideas on how we can make it better. Opinions are all informed by 10 years of interacting with customers running literally millions of databases for users.
Lessons PostgreSQL learned from commercial databases, and didn’tPGConf APAC
This is the ppt used by Illay for his presentation at pgDay Asia 2016 - "Lessons PostgreSQL learned from commercial
databases, and didn’t". The talk takes you through some of the really good things that PostgreSQL has done really well and somethings that PostgreSQL can learn from other databases
pandas.(to/from)_sql is simple but not fastUwe Korn
Pandas provides convenience methods to read and write to databases using to_sql and read_sql. They provide great usability and a uniform interface for all databases that support an SQL Alchemy connection. Sadly, the layer of convenience also introduces a performance loss. Luckily, for a lot of databases, a performant access layer is available.
PostgreSQL Extension APIs are Changing the Face of Relational Databases | PGC...Teresa Giacomini
PostgreSQL is becoming the relational database of choice. An important factor in the rising popularity of Postgres is the extension APIs that allow developers to improve any database module’s behavior. As a result, Postgres users have access to hundreds of extensions today.
In this talk, we're going to first describe extension APIs. Then, we’re going to present four popular Postgres extensions, and demo their use.
* PostGIS turns Postgres into a spatial database through adding support for geographic objects.
* HLL & TopN add approximation algorithms to Postgres. These algorithms are used when real-time responses matter more than exact results.
* pg_partman makes managing partitions in Postgres easy. Through partitions, Postgres provide 5-10x higher performance for time-series data.
* Citus transforms Postgres into a distributed database. To do this, Citus shards data, performs distributed deadlock detection, and parallelizes queries.
Finally, we’ll conclude with why we think Postgres sets the way forward for relational databases.
PostgreSQL is becoming the relational database of choice. One important factor in the rising popularity of Postgres are the extension APIs. These APIs allow developers to extend any database sub-module’s behavior for higher performance, security, or new functionality. As a result, Postgres users have access to over a hundred extensions today, and more to come in the future.
In this talk, I’m going to first describe PostgreSQL’s extension APIs. These APIs are unique to Postgres, and have the potential to change the database landscape. Then, we’re going to present the four most popular Postgres extensions, show the use cases where they are applicable, and demo their usage.
PostGIS turns Postgres into a spatial database. It adds support for geographic objects, allowing location queries to be run in SQL.
HyperLogLog (HLL) & TopN add approximation algorithms to Postgres. These sketch algorithms are used in distributed systems when real-time responses to queries matter more than exact results.
pgpartman makes creating and managing partitions in Postgres easy. Through careful partition management with pgpartman, Postgres offers 5-10x higher write and query performance for time-series data.
Citus transforms Postgres into a distributed database. Citus transparently shards and replicates data, performs distributed deadlock detection, and parallelizes queries.
After demoing these popular extensions, we’ll conclude with why we think the monolithic relational database is dying and how Postgres sets a path for the future. We’ll end the talk with a Q&A.
During this webinar, we will review best practices and lessons learned from working with large and mid-size companies on their deployment of PostgreSQL. We will explore the practices that helped industry leaders move through these stages quickly, and get as much value out of PostgreSQL as possible without incurring undue risk.
Beyond Postgres: Interesting Projects, Tools and forksSameer Kumar
This ppt was used at Aug Meetup of Postgres User Group Singapore. We talked about
• Cool tools and extensions like PostGIS
• Great projects like pgpool and pgbouncer
• Interesting forks of PostgreSQL like EnterpriseDB, GreenPlum etc
Interesting take-away from the session was -
• Ease Oracle Migration
• Load Balancing in PostgreSQL
• Spatial data in PostgreSQL
• Connection pooling and resource management
• Your next Data Warehouse project
Meetup page- http://www.meetup.com/PUGS-Postgres-Users-Group-Singapore/
PostgreSQL is a well-known relational database. But in the last few years, it has gained capabilities that previously belonged only to "NoSQL" databases. In this talk, I describe several of PostgreSQL that give it such capabilities.
Postgres has been proven to process document database workloads faster than MongoDB in benchmark testing. But there are multiple benefits to using Postgres over a specialized solution for such applications.
Application developers are finding new ways to combine schema-less data with traditional relational tables and deliver innovative applications faster while meeting evolving DevOps strategies and goals. Providing a single, ACID-compliant enterprise-ready database that can manage both structured and unstructured data supports the development process and reduces overall complexity.
Learn what Postgres can help you achieve. This covers:
-- Using JSON/JSONB and HSTORE to combine schema-less data with enterprise information
-- Build on existing skillsets while using web 2.0 development technologies
-- Reduce complexity that comes with using multiple heterogeneous platform and disparate application demands
-- New performance benchmark results showing Postgres outperforms MongdoDB
Agile Oracle to PostgreSQL migrations (PGConf.EU 2013)Gabriele Bartolini
Migrating an Oracle database to Postgres is never an automated operation. And it rarely (never?) involve just the database. Experience brought us to develop an agile methodology for the migration process, involving schema migration, data import, migration of procedures and queries up to the generation of unit tests for QA.
Pitfalls, technologies and main migration opportunities will be outlined, focusing on the reduction of total costs of ownership and management of a database solution in the middle-long term (without reducing quality and business continuity requirements).
How to build a PostgreSQL-backed website quicklyJohn Ashmead
We will show how to get started building a PostgreSQL-backed website using Ruby-on-Rails. We will look at Model-View-Controller architecture; what tools you need to get started; how to work with the online tutorials; what kind of workflow to use; and which tasks to let Ruby-on-Rails handle versus which are better done by PostgreSQL.
With a focus on Amazon AWS RDS MySQL and PostgreSQL, Rackspace cloud, Google Cloud SQL, Microsoft Azure for MySQL and PostgreSQL as well as a hint of the other clouds
Similar to Drupal meets PostgreSQL for DrupalCamp MSK 2014 (20)
One girl wanted to became a Drupal Dev. Guess what happened next...
From Kate Marshalkina
with love to Drupal Community
https://www.drupal.org/u/kalabro
Презентация для DrupalCamp Siberia 2015
http://camp.drupalsib.ru/program/sessions/panels-page-manager-v-drupal-8
- API для работы со страницей в ядре. Взгляд разработчика.
- Обзор Page Manager & Panels для восьмёрки.
- А также Layout Plugin, Display Suite и немножко Ctools.
Slides from our talk “REST in Peace” for DrupalCamp Baltics 2015: http://drupalcampbaltics.com/event/rest-peace
Speakers:
- Kate Marshalkina
- Konstantin Komelin
Speech transcript is available here: http://komelin.com/en/articles/rest-peace-api-development-drupal
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
3. Faster, better, stronger
• PostgreSQL 100500x faster that MySQL and Oracle DB
• 200k times more reliable
• 13 times more secure
• 221 times cheaper
• ...∞
4. Faster, better, stronger
• PostgreSQL 100500x faster that MySQL and Oracle DB
• 200k times more reliable
• 13 times more secure
???
• 221 times cheaper
• ...∞
Well, I don’t know.
5. > whoami
Kate Marshalkina, Senior Web Developer (not a DBA!)
6 year of PHP, 3 years 4 months * with Drupal + Postgres
https://www.drupal.org/u/kalabro and @kalabro
marshalkina@licel.ru
* According to Drupal.org. 5 years 27 weeks according to Drupal.ru.
6. Agenda
• About PostgreSQL
• Install Drupal + PostgreSQL
• Discover why it works (Drupal DBAL)
• The most important slide #3
• Who you are in Drupal dev world and what to do with it?
• Links
12. JSON?
Simple Key=Value (hstore) supported since 8.3
Full JSON (jsonb) with indexes — in PostgreSQL 9.4!
Thanks to dev team:
Олег Бартунов, Александр Коротков, Федор Сигаев
13. PostgreSQL grows fast
http://momjian.us/main/blogs/pgblog/2014.html#November_11_2014
14. Install PostgreSQL + Drupal
1. Install Postgres
The most difficult part: pg_hba.conf
2. Run pgtune (optionally)
3. Install php5-pgsql
4. Install Drupal
21. Example: schema support in
pgsql/schema.inc
public function queryTableInformation($table) {
// Generate a key to reference this table's information on.
$key = $this->connection->prefixTables('{' . $table . '}');
if (!strpos($key, '.')) {
$key = 'public.' . $key;
}
// ….
25. MySQL vs PostgreSQL Drupal
benchmarks?
Well-tuned MySQL is often quicker in synthetic tests.
http://posulliv.github.io/2012/06/29/mysql-postgres-bench/
«Certainly, from a performance point of view, I see no
issues with using PostgreSQL with Drupal. In fact, for
Drupal sites using the Views module (probably the
majority), I would say PostgreSQL is probably even a better
option than MySQL due to its more advanced optimizer and
execution engine.»
27. For Project Architect / Team Lead
PostgreSQL is an open source level BDMS
with huge amount of features.
Consider PostgreSQL for quick start and
continuous growth.
It competes proprietary giants like Oracle
DB and smells like Enterprise for your
business.
28. For students / fellow developers
PostgreSQL is a great choice if you’ve just
finished your Database course. It respects
standards and has a lot of cool features for
your night time.
As PostgreSQL market is full of highload
projects and continuously grows.
29. For Drupal Developers
Avoid MySQLisms.
• db_query()/addExpression()/…
• Use Database API in contribs
• Learn new staff by contributing to both Drupal and
Postgres
• INSTALL IT ON DEV! It’s simple.
30. For PostgreSQL DBA
• Drupal dislikes logic outside of itself.
• Optimize queries and cache.
• Integrate DB views with Drupal API.