This set of slides gives you an overview of Galera, configuration basics and deployment best practices.
The following topics are covered:
- Concepts
- Node provisioning
- Network partitioning
- Configuration example
- Benchmarks
- Deployment best practices
- Galera monitoring and management
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Webinar slides: Migrating to Galera Cluster for MySQL and MariaDBSeveralnines
Galera Cluster is a mainstream option for high availability MySQL and MariaDB. And though it has established itself as a credible replacement for traditional MySQL master-slave architectures, it is not a drop-in replacement.
While Galera Cluster has some characteristics that make it unsuitable for certain use cases, most applications can still be adapted to run on it.
The benefits are clear: multi-master InnoDB setup with built-in failover and read scalability.
But how do you migrate? Does the schema or application change? What are the limitations? Can a migration be done online, without service interruption? What are the potential risks?
In this webinar, Severalnines Support Engineer Bart Oles walks you through what you need to know in order to migrate from standalone or a master-slave MySQL/MariaDB setup to Galera Cluster.
AGENDA
- Application use cases for Galera
- Schema design
- Events and Triggers
- Query design
- Migrating the schema
- Load balancer and VIP
- Loading initial data into the cluster
- Limitations:
- Cluster technology
- Application vendor support
- Performing Online Migration to Galera
- Operational management checklist
- Belts and suspenders: Plan B
- Demo
SPEAKER
Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
This tutorial covers all parallel replication implementation in MariaDB 10.0 and 10.1 and MySQL 5.6, 5.7 and 8.0 (including how it works in Group Replication).
MySQL and MariaDB have different types of parallel replication. In this tutorial, we present the different implementations that allow us to understand their limitations and tuning parameters. We cover how to make parallel replication faster and what to avoid for maximizing its benefits. We also present tests from Booking.com workloads.
Some of the subjects that are covered are group commit and optimistic parallel replication in MariaDB, the parallelism interval of MySQL and its Write Set optimization, and the ?slowing down the master to speed up the slave? optimization.
After this tutorial, you will know everything you need to implement and tune parallel replication in your environment. But more importantly, we will show how you can test parallel replication benefit in a non-disruptive way before deployment.
Deep Dive on ClickHouse Sharding and Replication-2202-09-22.pdfAltinity Ltd
Join the Altinity experts as we dig into ClickHouse sharding and replication, showing how they enable clusters that deliver fast queries over petabytes of data. We’ll start with basic definitions of each, then move to practical issues. This includes the setup of shards and replicas, defining schema, choosing sharding keys, loading data, and writing distributed queries. We’ll finish up with tips on performance optimization.
#ClickHouse #datasets #ClickHouseTutorial #opensource #ClickHouseCommunity #Altinity
-----------------
Join ClickHouse Meetups: https://www.meetup.com/San-Francisco-...
Check out more ClickHouse resources: https://altinity.com/resources/
Visit the Altinity Documentation site: https://docs.altinity.com/
Contribute to ClickHouse Knowledge Base: https://kb.altinity.com/
Join the ClickHouse Reddit community: https://www.reddit.com/r/Clickhouse/
----------------
Learn more about Altinity!
Site: https://www.altinity.com
LinkedIn: https://www.linkedin.com/company/alti...
Twitter: https://twitter.com/AltinityDB
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Webinar slides: Migrating to Galera Cluster for MySQL and MariaDBSeveralnines
Galera Cluster is a mainstream option for high availability MySQL and MariaDB. And though it has established itself as a credible replacement for traditional MySQL master-slave architectures, it is not a drop-in replacement.
While Galera Cluster has some characteristics that make it unsuitable for certain use cases, most applications can still be adapted to run on it.
The benefits are clear: multi-master InnoDB setup with built-in failover and read scalability.
But how do you migrate? Does the schema or application change? What are the limitations? Can a migration be done online, without service interruption? What are the potential risks?
In this webinar, Severalnines Support Engineer Bart Oles walks you through what you need to know in order to migrate from standalone or a master-slave MySQL/MariaDB setup to Galera Cluster.
AGENDA
- Application use cases for Galera
- Schema design
- Events and Triggers
- Query design
- Migrating the schema
- Load balancer and VIP
- Loading initial data into the cluster
- Limitations:
- Cluster technology
- Application vendor support
- Performing Online Migration to Galera
- Operational management checklist
- Belts and suspenders: Plan B
- Demo
SPEAKER
Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
This tutorial covers all parallel replication implementation in MariaDB 10.0 and 10.1 and MySQL 5.6, 5.7 and 8.0 (including how it works in Group Replication).
MySQL and MariaDB have different types of parallel replication. In this tutorial, we present the different implementations that allow us to understand their limitations and tuning parameters. We cover how to make parallel replication faster and what to avoid for maximizing its benefits. We also present tests from Booking.com workloads.
Some of the subjects that are covered are group commit and optimistic parallel replication in MariaDB, the parallelism interval of MySQL and its Write Set optimization, and the ?slowing down the master to speed up the slave? optimization.
After this tutorial, you will know everything you need to implement and tune parallel replication in your environment. But more importantly, we will show how you can test parallel replication benefit in a non-disruptive way before deployment.
Deep Dive on ClickHouse Sharding and Replication-2202-09-22.pdfAltinity Ltd
Join the Altinity experts as we dig into ClickHouse sharding and replication, showing how they enable clusters that deliver fast queries over petabytes of data. We’ll start with basic definitions of each, then move to practical issues. This includes the setup of shards and replicas, defining schema, choosing sharding keys, loading data, and writing distributed queries. We’ll finish up with tips on performance optimization.
#ClickHouse #datasets #ClickHouseTutorial #opensource #ClickHouseCommunity #Altinity
-----------------
Join ClickHouse Meetups: https://www.meetup.com/San-Francisco-...
Check out more ClickHouse resources: https://altinity.com/resources/
Visit the Altinity Documentation site: https://docs.altinity.com/
Contribute to ClickHouse Knowledge Base: https://kb.altinity.com/
Join the ClickHouse Reddit community: https://www.reddit.com/r/Clickhouse/
----------------
Learn more about Altinity!
Site: https://www.altinity.com
LinkedIn: https://www.linkedin.com/company/alti...
Twitter: https://twitter.com/AltinityDB
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Concrete findings and "best practices" from building a cluster sized for 150 analytic queries per second on 100TB of http logs. Topics covered: hardware, clients (http vs native), partitioning, indexing, SELECT vs INSERT performance, replication, sharding, quotas, and benchmarking.
MySQL Load Balancers - Maxscale, ProxySQL, HAProxy, MySQL Router & nginx - A ...Severalnines
This presentation by Krzysztof Książek at Percona Live 2017 in Santa Clara, California gives detailed descriptions and comparisons of the leading open source database load balancing technologies
Maxscale switchover, failover, and auto rejoinWagner Bianchi
How the MariaDB Maxscale Switchover, Failover, and Rejoin works under the hood by Esa Korhonen and Wagner Bianchi.
You can watch the video of the presentation at
https://www.linkedin.com/feed/update/urn:li:activity:6381185640607809536
Galera Cluster for MySQL vs MySQL (NDB) Cluster: A High Level Comparison Severalnines
Galera Cluster for MySQL, Percona XtraDB Cluster and MariaDB Cluster (the three “flavours” of Galera Cluster) make use of the Galera WSREP libraries to handle synchronous replication.MySQL Cluster is the official clustering solution from Oracle, while Galera Cluster for MySQL is slowly but surely establishing itself as the de-facto clustering solution in the wider MySQL eco-system.
In this webinar, we will look at all these alternatives and present an unbiased view on their strengths/weaknesses and the use cases that fit each alternative.
This webinar will cover the following:
MySQL Cluster architecture: strengths and limitations
Galera Architecture: strengths and limitations
Deployment scenarios
Data migration
Read and write workloads (Optimistic/pessimistic locking)
WAN/Geographical replication
Schema changes
Management and monitoring
We talk a lot about Galera Cluster being great for High Availability, but what about Disaster Recovery (DR)? Database outages can occur when you lose a data centre due to data center power outages or natural disaster, so why not plan appropriately in advance?
In this webinar, we will discuss the business considerations including achieving the highest possible uptime, analysis business impact as well as risk, focus on disaster recovery itself, as well as discussing various scenarios, from having no offsite data to having synchronous replication to another data centre.
This webinar will cover MySQL with Galera Cluster, as well as branches MariaDB Galera Cluster as well as Percona XtraDB Cluster (PXC). We will focus on architecture solutions, DR scenarios and have you on your way to success at the end of it.
PostgreSQL is a very popular and feature-rich DBMS. At the same time, PostgreSQL has a set of annoying wicked problems, which haven't been resolved in decades. Miraculously, with just a small patch to PostgreSQL core extending this API, it appears possible to solve wicked PostgreSQL problems in a new engine made within an extension.
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.
Load Balancing MySQL with HAProxy - SlidesSeveralnines
Agenda:
* What is HAProxy?
* SQL Load balancing for MySQL
* Failure detection using MySQL health checks
* High Availability with Keepalived and Virtual IP
* Use cases: MySQL Cluster, Galera Cluster and MySQL Replication
* Alternative methods: Database drivers with inbuilt cluster support, MySQL proxy, MaxScale, ProxySQL
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
When does InnoDB lock a row? Multiple rows? Why would it lock a gap? How do transactions affect these scenarios? Locking is one of the more opaque features of MySQL, but it’s very important for both developers and DBA’s to understand if they want their applications to work with high performance and concurrency. This is a creative presentation to illustrate the scenarios for locking in InnoDB and make these scenarios easier to visualize. I'll cover: key locks, table locks, gap locks, shared locks, exclusive locks, intention locks, insert locks, auto-inc locks, and also conditions for deadlocks.
We will show how Galera Cluster executes DDLs in a safe, consistent manner across all the nodes in the cluster, and the differences with stand-alone MySQL. We will discuss how to prepare for and successfully carry out a schema upgrade and the considerations that need to be taken into account during the process.
MongoDB WiredTiger Internals: Journey To TransactionsMydbops
MongoDB has adapted transaction feature (ACID Properties) in MongoDB 4.0. This talk focuses on the internals of how MongoDB adapted the ACID properties with Weird Tiger Engine. Weird tiger offers more future possibilities for MongoDB. This tech talk was presented at Mydbops Database Meetup on 27-04-2019 by Manosh Malai Senior Devops/NoSQL Consultant with Mydbops and Ranjith Database Administrator with Mydbops.
MySQL has multiple timeouts variables to control its operations. This presentation focus on the purpose of each timeout variables and how it can be used.
ClickHouse Monitoring 101: What to monitor and howAltinity Ltd
Webinar. Presented by Robert Hodges and Ned McClain, April 1, 2020
You are about to deploy ClickHouse into production. Congratulations! But what about monitoring? In this webinar we will introduce how to track the health of individual ClickHouse nodes as well as clusters. We'll describe available monitoring data, how to collect and store measurements, and graphical display using Grafana. We'll demo techniques and share sample Grafana dashboards that you can use for your own clusters.
Always On - Wydajność i bezpieczeństwo naszych danych - High Availability SQL...SQLExpert.pl
SQL Server 2012 udostępnia zupełnie nowe spojrzenie na zagadnienia związanie z Wysoką dostępnością (High Avability). Najbardziej oczekiwaną nową funkcjonalnością jest AlwaysOn.
W trakcie sesji chcemy pokazać praktyczne zastosowanie AlwaysOn, odpowiadając na pytania:
• Co daje AlwaysOn czego nie było do tej pory
• W jakim stopniu AlwaysOn może zastąpić mirroring oraz logshiping
• Jak zbudować High Avability na potrzeby naszej organizacji
• Jak efektywnie skorzystać z wielu replik danych.
• Czym jest AlwaysOn Failover Cluster
W ramach sesji przedstawiona będzie koncepcja budowy rozwiązania spełniające oczekiwania w zakresie High Avability, dotyczące wydajności jak i bezpieczeństwa naszych danych, a także zgodne z potrzebami Distaster Recovery.
Clickhouse Capacity Planning for OLAP Workloads, Mik Kocikowski of CloudFlareAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Concrete findings and "best practices" from building a cluster sized for 150 analytic queries per second on 100TB of http logs. Topics covered: hardware, clients (http vs native), partitioning, indexing, SELECT vs INSERT performance, replication, sharding, quotas, and benchmarking.
MySQL Load Balancers - Maxscale, ProxySQL, HAProxy, MySQL Router & nginx - A ...Severalnines
This presentation by Krzysztof Książek at Percona Live 2017 in Santa Clara, California gives detailed descriptions and comparisons of the leading open source database load balancing technologies
Maxscale switchover, failover, and auto rejoinWagner Bianchi
How the MariaDB Maxscale Switchover, Failover, and Rejoin works under the hood by Esa Korhonen and Wagner Bianchi.
You can watch the video of the presentation at
https://www.linkedin.com/feed/update/urn:li:activity:6381185640607809536
Galera Cluster for MySQL vs MySQL (NDB) Cluster: A High Level Comparison Severalnines
Galera Cluster for MySQL, Percona XtraDB Cluster and MariaDB Cluster (the three “flavours” of Galera Cluster) make use of the Galera WSREP libraries to handle synchronous replication.MySQL Cluster is the official clustering solution from Oracle, while Galera Cluster for MySQL is slowly but surely establishing itself as the de-facto clustering solution in the wider MySQL eco-system.
In this webinar, we will look at all these alternatives and present an unbiased view on their strengths/weaknesses and the use cases that fit each alternative.
This webinar will cover the following:
MySQL Cluster architecture: strengths and limitations
Galera Architecture: strengths and limitations
Deployment scenarios
Data migration
Read and write workloads (Optimistic/pessimistic locking)
WAN/Geographical replication
Schema changes
Management and monitoring
We talk a lot about Galera Cluster being great for High Availability, but what about Disaster Recovery (DR)? Database outages can occur when you lose a data centre due to data center power outages or natural disaster, so why not plan appropriately in advance?
In this webinar, we will discuss the business considerations including achieving the highest possible uptime, analysis business impact as well as risk, focus on disaster recovery itself, as well as discussing various scenarios, from having no offsite data to having synchronous replication to another data centre.
This webinar will cover MySQL with Galera Cluster, as well as branches MariaDB Galera Cluster as well as Percona XtraDB Cluster (PXC). We will focus on architecture solutions, DR scenarios and have you on your way to success at the end of it.
PostgreSQL is a very popular and feature-rich DBMS. At the same time, PostgreSQL has a set of annoying wicked problems, which haven't been resolved in decades. Miraculously, with just a small patch to PostgreSQL core extending this API, it appears possible to solve wicked PostgreSQL problems in a new engine made within an extension.
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.
Load Balancing MySQL with HAProxy - SlidesSeveralnines
Agenda:
* What is HAProxy?
* SQL Load balancing for MySQL
* Failure detection using MySQL health checks
* High Availability with Keepalived and Virtual IP
* Use cases: MySQL Cluster, Galera Cluster and MySQL Replication
* Alternative methods: Database drivers with inbuilt cluster support, MySQL proxy, MaxScale, ProxySQL
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
When does InnoDB lock a row? Multiple rows? Why would it lock a gap? How do transactions affect these scenarios? Locking is one of the more opaque features of MySQL, but it’s very important for both developers and DBA’s to understand if they want their applications to work with high performance and concurrency. This is a creative presentation to illustrate the scenarios for locking in InnoDB and make these scenarios easier to visualize. I'll cover: key locks, table locks, gap locks, shared locks, exclusive locks, intention locks, insert locks, auto-inc locks, and also conditions for deadlocks.
We will show how Galera Cluster executes DDLs in a safe, consistent manner across all the nodes in the cluster, and the differences with stand-alone MySQL. We will discuss how to prepare for and successfully carry out a schema upgrade and the considerations that need to be taken into account during the process.
MongoDB WiredTiger Internals: Journey To TransactionsMydbops
MongoDB has adapted transaction feature (ACID Properties) in MongoDB 4.0. This talk focuses on the internals of how MongoDB adapted the ACID properties with Weird Tiger Engine. Weird tiger offers more future possibilities for MongoDB. This tech talk was presented at Mydbops Database Meetup on 27-04-2019 by Manosh Malai Senior Devops/NoSQL Consultant with Mydbops and Ranjith Database Administrator with Mydbops.
MySQL has multiple timeouts variables to control its operations. This presentation focus on the purpose of each timeout variables and how it can be used.
ClickHouse Monitoring 101: What to monitor and howAltinity Ltd
Webinar. Presented by Robert Hodges and Ned McClain, April 1, 2020
You are about to deploy ClickHouse into production. Congratulations! But what about monitoring? In this webinar we will introduce how to track the health of individual ClickHouse nodes as well as clusters. We'll describe available monitoring data, how to collect and store measurements, and graphical display using Grafana. We'll demo techniques and share sample Grafana dashboards that you can use for your own clusters.
Always On - Wydajność i bezpieczeństwo naszych danych - High Availability SQL...SQLExpert.pl
SQL Server 2012 udostępnia zupełnie nowe spojrzenie na zagadnienia związanie z Wysoką dostępnością (High Avability). Najbardziej oczekiwaną nową funkcjonalnością jest AlwaysOn.
W trakcie sesji chcemy pokazać praktyczne zastosowanie AlwaysOn, odpowiadając na pytania:
• Co daje AlwaysOn czego nie było do tej pory
• W jakim stopniu AlwaysOn może zastąpić mirroring oraz logshiping
• Jak zbudować High Avability na potrzeby naszej organizacji
• Jak efektywnie skorzystać z wielu replik danych.
• Czym jest AlwaysOn Failover Cluster
W ramach sesji przedstawiona będzie koncepcja budowy rozwiązania spełniające oczekiwania w zakresie High Avability, dotyczące wydajności jak i bezpieczeństwa naszych danych, a także zgodne z potrzebami Distaster Recovery.
The mighty cloud draws businesses and developers who seek its agility and productivity. But which type of cloud is best? We moved eBay Marketplace, a major eCommerce site, from a traditional infrastructure to a cloud model. We will present the strategic, technical and cost factors we weighed when deciding between cloud versus automation, and porting applications versus rewriting them. We will explain why we ended up with a hybrid: developing our own internal cloud while leveraging the massive infrastructure of public cloud providers.
Designing a reactive data platform: Challenges, patterns, and anti-patterns Alex Silva
Presentation given at the O'Reilly Software Architecture Conference in NYC, April 2016.
Covers the key architectural decisions made behind the design of a reactive self-service data ingestion analytics platform that is able to fulfill several business use cases at massive scale, both at real-time and batch scopes, while leveraging and integrating Kafka and Spark in an efficient, easy to use way.
The presentation describes a message-driven, reactive and distributed design that leverages REST and Hypermedia protocols, and several open source frameworks and platforms, including Akka, Kafka, Hadoop and Spark.
Running MariaDB in multiple data centersMariaDB plc
MariaDB is often deployed in multiple data centers for high availability and/or disaster recovery. Tim Tadeo, Senior Sales Engineer, walks through real-world use cases and the topologies customers have created to leverage multiple data centers. He also discusses important considerations and how to address them, as well as more advanced options such as dedicated binlog servers for cross–data center replication.
You need Event Mesh, not Service Mesh - Chris Suszynski [WJUG 301]Chris Suszyński
You've probably heard about building microservices-style applications, right? It's likely that you've heard that a service mesh (such as Istio) can help you achieve this. Unfortunately, in most cases that's an antipattern. Instead, what you need is the Event Mesh. Using the Event Mesh could help you architect your application into a distributed CQRS-style solution that would eventually reconcile system state.
In this session, you'll learn why you should avoid using blocking API calls when building your microservices, and instead use the CQRS architecture to separate commands and queries. Your architecture for commands should be implemented with asynchronous events, which are processed whenever possible. We'll take some inspiration from the Kubernetes architecture, and how you can model such a reconciliation loop within your own enterprise microservices. All this on top of the Knative framework, as an excellent example of event mesh implementation.
No Surprises Geo Replication - Pulsar Virtual Summit Europe 2021StreamNative
The session will cover the details on how geo replicated topic works under the hood while also touching lightly on the replicated subscriptions. Then we will steer towards the pulsar’s behaviour in various scenarios like updating replicated topic, changes in cluster topology, outages, etc and end with the metrics & configurations to look out for. We will also look into configurations to have predictable failover for replicated subscriptions when dealing with unbounded cross-region lag or subscription lag itself.
Production Ready Kafka on Kubernetes (Devandra Tagare, Lyft) Kafka Summit SF ...confluent
Getting Kafka running on Kubernetes is only step one of a journey to create a production-ready Kafka cluster. This talk walks through the other steps: 1) Monitoring and remediating faults. 2) Updates to Kubernetes nodes for clusters not using shared storage. 3) Automating Kafka updates and restarts. We present how to create fault-tolerant Kafka clusters on Kubernetes without sacrificing availability, durability, or latency. Learn about Lyft's overlay-free Kubernetes networking driver and how we use it to keep performance on par with non-Kubernetes clusters.
CloudStack, the world's leading open-source cloud infrastructure platform, was recently donated to the Apache Foundation, and is now an incubated Apache project. Ewan Mellor, Director of Engineering in the Citrix Cloud Platforms Group will describe the CloudStack project and explain why Xen is the pre-eminent hypervisor in public clouds today. He will describe the changes coming in CloudStack in the next 12 months, and how they are going to change the way that Xen is consumed in public and private clouds next year.
MySQL 5.7 clustering: The developer perspectiveUlf Wendel
(Compiled from revised slides of previous presentations - skip if you know the old presentations)
A summary on clustering MySQL 5.7 with focus on the PHP clients view and the PHP driver. Which kinds on MySQL clusters are there, what are their goal, how does wich one scale, what extra work does which clustering technique put at the client and finally, how the PHP driver (PECL/mysqlnd_ms) helps you.
Similar to Galera cluster for MySQL - Introduction Slides (20)
DIY DBaaS: A guide to building your own full-featured DBaaSSeveralnines
More so than ever, businesses need to ensure that their databases are resilient, secure, and always available to support their operations. Database-as-a-Service (DBaaS) solutions have become a popular way for organizations to manage their databases efficiently, leveraging cloud infrastructure and advanced set-and-forget automation.
However, consuming DBaaS from providers comes with many compromises. In this guide, we’ll show you how you can build your own flexible DBaaS, your way. We’ll demonstrate how it is possible to get the full spectrum of DBaaS capabilities along with workload access and portability, and avoid surrendering control to a third-party.
From architectural and design considerations to operational requirements, we’ll take you through the process step-by-step, providing all the necessary information and guidance to help you build a DBaaS solution that is tailor-made to your unique use case. So get ready to dive in and learn how to build your own custom DBaaS solution from scratch!
We created this guide to help developers understand:
- Traditional vs. Sovereign DBaaS implementation models
- The DBaaS environment, elements and design principles
- Using a Day 2 operations framework to develop your blueprint
- The 8 key operations that form the foundation of a complete DBaaS
- Bringing the Day 2 ops framework to life with a provisional architecture
- How you can abstract the orchestration layer with Severalnines solutions
Cloud's future runs through Sovereign DBaaSSeveralnines
Sovereign DBaaS is a new way to do DBaaS that allows you to reliably scale your open-source database ops without being limited to a specific environment or ceding control of your infrastructure to third-party service providers.
With Sovereign DBaaS, users can leverage the benefits of modern deployment strategies, e.g. public cloud, hybrid, etc., with additional security, compliance, and risk mitigation. So what exactly is Sovereign DBaaS and why should you choose one?
Presented by Sanjeev Mohan, Principal Analyst at SanjMo and former Gartner Research VP, and Vinay Joosery, CEO of Severalnines, this webinar dives into the future of the cloud and database management and introduces a new solution, Sovereign DBaaS.
The state of the cloud and its current challenges
What is Sovereign DBaaS?
Agenda:
- Key features of Sovereign DBaaS
- Why you should choose a Sovereign DBaaS
- How you can implement Sovereign DBaaS with Severalnines
- Q&A
Tips to drive maria db cluster performance for nextcloudSeveralnines
Nextcloud requires a database to store administrative data for the platform. A poorly performing database can have a serious impact on performance and availability of Nextcloud. MariaDB Cluster is the recommended database backend for production installations that require high availability and performance.
This talk is a deep dive into how to design and optimize MariaDB Galera Cluster for Nextcloud. We will cover 5 tips on how to significantly improve performance and stability.
Agenda:
Overview of Nextcloud architecture
Database architecture design
Database proxy
MariaDB and InnoDB performance tuning
Nextcloud performance tuning
Q&A
Working with the Moodle Database: The BasicsSeveralnines
Managing the database behind Moodle is key to improving performance and achieving uptime for your users. In this training video we will talk about the Moodle database including topics like configuration, monitoring, and schema management as well as show you how ClusterControl can help with the management of your eLearning LMS systems.
SysAdmin Working from Home? Tips to Automate MySQL, MariaDB, Postgres & MongoDBSeveralnines
Are you an SysAdmin who is now responsible for your companies database operations? Then this is the webinar for you. Learn from a Senior DBA the basics you need to know to keep things up-and-running and how automation can help.
(slides) Polyglot persistence: utilizing open source databases as a Swiss poc...Severalnines
Over the past few years, VidaXL has become a European market leader in the online retail of slow moving consumer goods. When a company achieved over 50% year over year growth for the past 9 years, there is hardly enough time to overhaul existing systems. This means existing systems will be stretched to the maximum of their capabilities, and often additional performance will be gained by utilizing a large variety of datastores.
Webinar slides: How to Migrate from Oracle DB to MariaDBSeveralnines
Watch this webinar replay as we walk you through all you need to know to plan and execute a successful migration from Oracle database to MariaDB.
Over the years MariaDB has gained Enterprise support and maturity to run critical and complex data transaction systems. With the recent version, MariaDB has added some great new features such as SQL_Mode=Oracle compatibility, making the transition process easier than ever before.
Whether you’re planning to migrate from Oracle database to MariaDB manually or with the help of a commercial tool to automate the entire migration process, you need to know all the possible bottlenecks and methods involved in the process and the results validation.
Migrating from Oracle database to MariaDB can come with a number of benefits: lower cost of ownership, access to and use of an open source database engine, tight integration with the web, wide circle of MariaDB database professionals and more.
Find out how it could benefit your organisation!
AGENDA
- A brief introduction to the platform
- Oracle vs MariaDB
- Platform support
- Installation process
- Database access
- Backup process
- Controlling query execution
- Security
- Replication options
- Migration
- Planning and development strategy
- Assessment or preliminary check
- Data type mapping
- Migration tools
- Migration process
- Testing
- Post-migration
- Monitoring and Alerting
- Performance Management
- Backup Management
- High availability
- Upgrades
- Scaling
- Staff training
SPEAKER
Bartlomiej Oles, Senior Support Engineer at Severalnines, is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Webinar slides: How to Automate & Manage PostgreSQL with ClusterControlSeveralnines
Running PostgreSQL in production comes with the responsibility for a business critical environment; this includes high availability, disaster recovery, and performance. Ops staff worry whether databases are up and running, if backups are taken and tested for integrity, whether there are performance problems that might affect end user experience, if failover will work properly in case of server failure without breaking applications, and the list goes on.
ClusterControl can be used to operationalize your PostgreSQL footprint across your enterprise. It offers a standard way of deploying high-availability replication setups with auto-failover, integrated with load balancers offering a single endpoint to applications. It provides constant health and performance monitoring through rich dashboards, as well as backup management and point-in-time recovery
See how much time and effort can be saved, as well as risks mitigated, with the help of a unified management platform over the more traditional, manual methods.
We’ve seen a 152% increase in ClusterControl installations by PostgreSQL users last year, so make sure you don’t miss out on the trend!
AGENDA
- Managing PostgreSQL “the old way”:
- Common challenges
- Important tasks to perform
- Tools that are available to help
- PostgreSQL automation and management with ClusterControl:
- Deployment
- Backup and recovery
- HA setups
- Failover
- Monitoring
- Live Demo
SPEAKER
Sebastian Insausti, Support Engineer at Severalnines, has loved technology since his childhood, when he did his first computer course (Windows 3.11). And from that moment he was decided on what his profession would be. He has since built up experience with MySQL, PostgreSQL, HAProxy, WAF (ModSecurity), Linux (RedHat, CentOS, OL, Ubuntu server), Monitoring (Nagios), Networking and Virtualization (VMWare, Proxmox, Hyper-V, RHEV).
Prior to joining Severalnines, Sebastian worked as a consultant to state companies in security, database replication and high availability scenarios. He’s also a speaker and has given a few talks locally on InnoDB Cluster and MySQL Enterprise together with an Oracle team. Previous to that, he worked for a Mexican company as chief of sysadmin department as well as for a local ISP (Internet Service Provider), where he managed customers' servers and connectivity.
Webinar slides: How to Manage Replication Failover Processes for MySQL, Maria...Severalnines
Failover is the process of moving to a healthy standby component, during a failure or maintenance event, in order to preserve uptime. The quicker it can be done, the faster you can be back online. However, failover can be tricky for transactional database systems as we strive to preserve data integrity - especially in asynchronous or semi-synchronous topologies. There are risks associated, from diverging datasets to loss of data. Failing over due to incorrect reasoning, e.g., failed heartbeats in the case of network partitioning, can also cause significant harm.
This webinar replay gives a detailed overview of what failover processes may look like in MySQL, MariaDB and PostgreSQL replication setups. We’ve covered the dangers related to the failover process, and discuss the tradeoffs between failover speed and data integrity. We’ve found out about how to shield applications from database failures with the help of proxies. And we've finally had a look at how ClusterControl manages the failover process, and how it can be configured for both assisted and automated failover.
So if you’re looking at minimizing downtime and meet your SLAs through an automated or semi-automated approach, then this webinar replay is for you!
AGENDA
- An introduction to failover - what, when, how
- in MySQL / MariaDB
- in PostgreSQL
- To automate or not to automate
- Understanding the failover process
- Orchestrating failover across the whole HA stack
- Difficult problems
- Network partitioning
- Missed heartbeats
- Split brain
- From assisted to fully automated failover with ClusterControl
- Demo
SPEAKER
Krzysztof Książek, Senior Support Engineer at Severalnines, is a MySQL DBA with experience managing complex database environments for companies like Zendesk, Chegg, Pinterest and Flipboard.
What if …
- Traditional, labour-intensive backup and archive practices for your MySQL, MariaDB, MongoDB and PostgreSQL databases were a thing of the past?
- You could have one backup management solution for all your business data?
- You could ensure integrity of all your backups?
- You could leverage the competitive pricing and almost limitless capacity of cloud-based backup while meeting cost, manageability, and compliance requirements from the business.
Welcome to our webinar on Backup Management with ClusterControl.
ClusterControl’s centralized backup management for open source databases provides you with hot backups of large datasets, point in time recovery in a couple of clicks, at-rest and in-transit data encryption, data integrity via automatic restore verification, cloud backups (AWS, Google and Azure) for Disaster Recovery, retention policies to ensure compliance, and automated alerts and reporting.
Whether you are looking at rebuilding your existing backup infrastructure, or updating it, this webinar is for you!
AGENDA
- Backup and recovery management of local or remote databases
- Logical or physical backups
- Full or Incremental backups
- Position or time-based Point in Time Recovery (for MySQL and PostgreSQL)
- Upload to the cloud (Amazon S3, Google Cloud Storage, Azure Storage)
- Encryption of backup data
- Compression of backup data
- One centralized backup system for your open source databases (Demo)
- Schedule, manage and operate backups
- Define backup policies, retention, history
- Validation - Automatic restore verification
- Backup reporting
SPEAKER
Bartlomiej Oles, Senior Support Engineer at Severalnines, is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Disaster Recovery Planning for MySQL & MariaDBSeveralnines
Bart Oles - Severalnines AB
Organizations need an appropriate disaster recovery plan to mitigate the impact of downtime. But how much should a business invest? Designing a highly available system comes at a cost, and not all businesses and indeed not all applications need five 9's availability.
We will explain fundamental disaster recovery concepts and walk you through the relevant options from the MySQL & MariaDB ecosystem to meet different tiers of disaster recovery requirements, and demonstrate how to automate an appropriate disaster recovery plan.
Krzysztof Ksiazek - Severalnines AB
So, you are a developer or sysadmin and showed some abilities in dealing with databases issues. And now, you have been elected to the role of DBA. And as you start managing the databases, you wonder…
* How do I tune them to make best use of the hardware?
* How do I optimize the Operating System?
* How do I best configure MySQL or MariaDB for a specific database workload?
If you're asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases, then this talk is for you!
We will discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We will also cover some of the variables which are frequently modified even though they should not.
Performance tuning is not easy, especially if you're not an experienced DBA, but you can go a surprisingly long way with a few basic guidelines.
Performance Tuning Cheat Sheet for MongoDBSeveralnines
Bart Oles - Severalnines AB
Database performance affects organizational performance, and we tend to look for quick fixes when under stress. But how can we better understand our database workload and factors that may cause harm to it? What are the limitations in MongoDB that could potentially impact cluster performance?
In this talk, we will show you how to identify the factors that limit database performance. We will start with the free MongoDB Cloud monitoring tools. Then we will move on to log files and queries. To be able to achieve optimal use of hardware resources, we will take a look into kernel optimization and other crucial OS settings. Finally, we will look into how to examine performance of MongoDB replication.
Advanced MySql Data-at-Rest Encryption in Percona ServerSeveralnines
Iwo Panowicz - Percona & Bart Oles - Severalnines AB
The purpose of the talk is to present data-at-rest encryption implementation in Percona Server for MySQL.
Differences between Oracle's MySQL and MariaDB implementation.
- How it is implemented?
- What is encrypted:
- Tablespaces?
- General tablespace?
- Double write buffer/parallel double write buffer?
- Temporary tablespaces? (KEY BLOCKS)
- Binlogs?
- Slow/general/error logs?
- MyISAM? MyRocks? X?
- Performance overhead.
- Backups?
- Transportable tablespaces. Transfer key.
- Plugins
- Keyrings in general
- Key rotation?
- General-Purpose Keyring Key-Management Functions
- Keyring_file
- Is useful? How to make it profitable?
- Keyring Vault
- How does it work?
- How to make a transition from keyring_file
Polyglot Persistence Utilizing Open Source Databases as a Swiss Pocket KnifeSeveralnines
Art Van Scheppingen - vidaXL & Bart Oles - Severalnines AB
Over the past few years, VidaXL has become a European market leader in the online retail of slow moving consumer goods. When a company achieved over 50% year over year growth for the past 9 years, there is hardly enough time to overhaul existing systems. This means existing systems will be stretched to the maximum of their capabilities, and often additional performance will be gained by utilizing a large variety of datastores.
Polyglot persistence reigns in rapidly growing environments and the traditional one-size-fits-all strategy of monoglots is over.
VidaXL has a broad landscape of datastores, ranging from traditional SQL data stores, like MySQL or PostgreSQL alongside more recent load balancing technologies such as ProxySQL, to document stores like MongoDB and search engines such as SOLR and Elasticsearch.
Webinar slides: Free Monitoring (on Steroids) for MySQL, MariaDB, PostgreSQL ...Severalnines
Traditional server monitoring tools are not built for modern distributed database architectures. Let’s face it, most production databases today run in some kind of high availability setup - from simpler master-slave replication to multi-master clusters fronted by redundant load balancers. Operations teams deal with dozens, often hundreds of services that make up the database environment.
This is why we built ClusterControl - to address modern, highly distributed database setups based on replication or clustering. We wanted something that could provide a systems view of all the components of a distributed cluster, including load balancers.
Watch this replay of a webinar on free database monitoring using ClusterControl Community Edition. We show you how to monitor all your MySQL, MariaDB, PostgreSQL and MongoDB systems from a single point of control - whether they are deployed as Galera Clusters, sharded clusters or replication setups across on-prem and cloud data centers. We also see how to use Advisors in order to improve performance.
AGENDA
- Requirements for monitoring distributed database systems
- Cloud-based vs On-prem monitoring solutions
- Agent-based vs Agentless monitoring
- Deepdive into ClusterControl Community Edition
- Architecture
- Metrics Collection
- Trending
- Dashboards
- Queries
- Performance Advisors
- Other features available to Community users
SPEAKER
Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Webinar slides: An Introduction to Performance Monitoring for PostgreSQLSeveralnines
To operate PostgreSQL efficiently, you need to have insight into database performance and make sure it is at optimal levels.
With that in mind, we dive into monitoring PostgreSQL for performance in this webinar replay.
PostgreSQL offers many metrics through various status overviews and commands, but which ones really matter to you? How do you trend and alert on them? What is the meaning behind the metrics? And what are some of the most common causes for performance problems in production?
We discuss this and more in ordinary, plain DBA language. We also have a look at some of the tools available for PostgreSQL monitoring and trending; and we’ll show you how to leverage ClusterControl’s PostgreSQL metrics, dashboards, custom alerting and other features to track and optimize the performance of your system.
AGENDA
- PostgreSQL architecture overview
- Performance problems in production
- Common causes
- Key PostgreSQL metrics and their meaning
- Tuning for performance
- Performance monitoring tools
- Impact of monitoring on performance
- How to use ClusterControl to identify performance issues
- Demo
SPEAKER
Sebastian Insausti, Support Engineer at Severalnines, has loved technology since his childhood, when he did his first computer course (Windows 3.11). And from that moment he was decided on what his profession would be. He has since built up experience with MySQL, PostgreSQL, HAProxy, WAF (ModSecurity), Linux (RedHat, CentOS, OL, Ubuntu server), Monitoring (Nagios), Networking and Virtualization (VMWare, Proxmox, Hyper-V, RHEV).
Prior to joining Severalnines, Sebastian worked as a consultant to state companies in security, database replication and high availability scenarios. He’s also a speaker and has given a few talks locally on InnoDB Cluster and MySQL Enterprise together with an Oracle team. Previous to that, he worked for a Mexican company as chief of sysadmin department as well as for a local ISP (Internet Service Provider), where he managed customers' servers and connectivity.
This webinar builds upon a related blog post by Sebastian: https://severalnines.com/blog/performance-cheat-sheet-postgresql.
Webinar slides: Our Guide to MySQL & MariaDB Performance TuningSeveralnines
If you’re asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases:
- How do I tune them to make best use of the hardware?
- How do I optimize the Operating System?
- How do I best configure MySQL or MariaDB for a specific database workload?
Then this replay is for you!
We discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We also cover some of the variables which are frequently modified even though they should not.
Performance tuning is not easy, especially if you’re not an experienced DBA, but you can go a surprisingly long way with a few basic guidelines.
This webinar builds upon blog posts by Krzysztof from the ‘Become a MySQL DBA’ series.
AGENDA
- What to tune and why?
- Tuning process
- Operating system tuning
- Memory
- I/O performance
- MySQL configuration tuning
- Memory
- I/O performance
- Useful tools
- Do’s and do not’s of MySQL tuning
- Changes in MySQL 8.0
SPEAKER
Krzysztof Książek, Senior Support Engineer at Severalnines, is a MySQL DBA with experience managing complex database environments for companies like Zendesk, Chegg, Pinterest and Flipboard.
Webinar slides: How to Measure Database Availability?Severalnines
Database availability is notoriously hard to measure and report on, although it is an important KPI in any SLA between you and your customer. We often define availability in terms of 9’s (e.g. 99.9% or 99.999%), although there is often a lack of understanding of what these numbers might mean, or how we can measure them.
Is the database available if an instance is up and running, but it is unable to serve any requests? Or if response times are excessively long, so that users consider the service unusable? Is the impact of one longer outage the same as multiple shorter outages? How do partial outages affect database availability, where some users are unable to use the service while others are completely unaffected?
Not agreeing on precise definitions with your customer might lead to dissatisfaction. The database team might be reporting that they have met their availability goals, while the customer is dissatisfied with the service. In this webinar, we will discuss the different factors that affect database availability. We will then see how you can measure your database availability in a realistic way.
AGENDA
- Defining availability targets
- Critical business functions
- Customer needs
- Duration and frequency of downtime
- Planned vs unplanned downtime
- SLA
- Measuring the database availability
- Failover/Switchover time
- Recovery time
- Upgrade time
- Queries latency
- Restoration time from backup
- Service outage time
- Instrumentation and tools to measure database availability:
- Free & open-source tools
- CC's Operational Report
- Paid tools
SPEAKER
Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Webinar slides: Designing Open Source Databases for High AvailabilitySeveralnines
It is said that if you are not designing for failure, then you are heading for failure. How do you design a database system from the ground up to withstand failure? This can be a challenge as failures happen in many different ways, sometimes in ways that would be hard to imagine. This is a consequence of the complexity of today’s database environments.
At Severalnines we’re big fans of high availability databases and have seen our fair share of failure scenarios across the thousands of database deployments we enable every year.
In this webinar replay, we’ll look at the different types of failures you might encounter and what mechanisms can be used to address them. We will also look at some of popular HA solutions used today, and how they can help you achieve different levels of availability.
AGENDA
- Why design for High Availability?
- High availability concepts
- CAP theorem
- PACELC theorem
- Trade offs
- Deployment and operational cost
- System complexity
- Performance issues
- Lock management
- Architecting databases for failures
- Capacity planning
- Redundancy
- Load balancing
- Failover and switchover
- Quorum and split brain
- Fencing
- Multi datacenter and multi-cloud setups
- Recovery policy
- High availability solutions
- Database architecture determines Availability
- Active-Standby failover solution with shared storage or DRBD
- Master-slave replication
- Master-master cluster
- Failover and switchover mechanisms
- Reverse proxy
- Caching
- Virtual IP address
- Application connector
SPEAKER
Ashraf Sharif is System Support Engineer at Severalnines. He was previously involved in hosting world and LAMP stack, where he worked as principal consultant and head of support team and delivered clustering solutions for large websites in the South East Asia region. His professional interests are on system scalability and high availability.
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
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2. Copyright Severalnines AB
Agenda
About Severalnines
What is Galera Replication?
Galera Concepts
Node Provisioning
Network partitioning/Split brain
Configuration Example
Benchmarks & Performance Metrics
Best Practices
Monitoring and Management
Confidential 2
3. Copyright Severalnines AB
About Us
Stockholm, Tokyo and Singapore
Database Automation and DBaaS software vendor
Over 7,000 deployments to date
Commercial product launched Q1 2011
Winner Best Startup EuroCloud Europe 2011
Launched Europe’s first Data Cloud in Nov 2011
Press coverage 2011: CIO Magazine, eWeek, PC-World, IDG
News, Le Figaro, LeMondeInformatique, heise.de, Computerwelt,
silicon.de, etc …
Confidential 3
4. Copyright Severalnines AB
What is Galera Replication?
Synchronous (Virtually) Multi-Master Replication
Read and Write on any Node
No Master Failover! No Slave Lag!
Application MySQL Server
Guaranteed write consistency
WSREP API WSREP API
Cluster wide conflicts resolution (certification)
WSREP Provider wsrep plugin
Highly Available and Scalable Replication Replication
No SPOF
Read and Write (Parallel Applier threads) scalability
Geographical Replication (Mix MySQL Async & Galera Sync)
Cluster (Group Communication Protocol)
Automatic Node Provisioning, QoS
Confidential 4
5. Copyright Severalnines AB
Galera Cluster for MySQL
Codership patches for MySQL
Binaries and source available at launchpad
InnoDB (& MyISAM experimental)
Client Client Client
No need to change DB schema/queries
Local queries
LB
Parallel Replication!
Multiple Applier Threads (1-512) R/W R/W R/W
MySQL MySQL MySQL
Row events, row level locks [WSREP] [WSREP] [WSREP]
Asynchronous Replication Galera Replication (Synchronous)
In/Out of the cluster
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Galera Cluster for MySQL cont.
Higher probability for “deadlocks”
Cluster wide optimistic locking
Locking conflicts detected at commit Client Client Client
First to commit succeeds
Minimum 3 nodes required
LB
“Donor” node blocks writes during full synch
of joining/recovering node
R/W R/W R/W
3rd node then is available for service
MySQL MySQL MySQL
[WSREP]
Gotchas: 2 recovering nodes will block the last node [WSREP] [WSREP]
Replication performance dependent on Galera Replication (Synchronous)
Network latency
Performance of the “slowest” or the farthest Node (RTT)
Number of deployed nodes
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Synchronous Replication
Transaction t1
Node 1
BEGIN COMMIT (REQ) COMMIT (ACK/returns)
Statements
Commit response time
time
COMMIT or
Rollback
WS Replication event
OK or Conflict
Node 2 Transaction applied
(virtually synchronous)
WS
time
Certification Apply event
Node 3 Transaction applied
(virtually synchronous)
WS
time
Certification Apply event All nodes 100% sync
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Galera Concepts
Application State
A set of data that application decides to replicate
Default is the whole MySQL databases. Every node is a complete replica
Application state is identified by a Global Transaction ID
Global Transaction ID (GTID)
f7720ae0-6f9b-11e1-0800-598d1b386dce:32520198989
CLUSTER/HISTORY/STATE UUID:TRX/STATE/SEQNO
All replicated transactions can be uniquely referenced in any node
Initial state: f7720ae0-6f9b-11e1-0800-598d1b386dce:0
Undefined state: 00000000-0000-0000-0000-000000000000:-1
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Galera Concepts cont.
MySQL
[WSREP]
Primary Component - PC
The whole cluster is a PC during normal operation
Node and network failures MySQL
[WSREP]
MySQL
[WSREP]
Splits clusters into several components
Primary Component
Only PC can continue to modify state
Quorum algorithm invoked to select a PC during cluster partitioning
Majority rules
Minority tries to reconnect with PC
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Galera Concepts cont.
State Snapshot Transfer - SST
A transfer of a consistent snapshot of a node state corresponding to a
certain GTID
Initialize the state of a newly joining cluster node from an already
initialized node (donor)
Incremental State Transfer - IST
Catch up with the cluster by replaying missing transactions
Known initial node state
Enough transactions cached at the donor
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Galera Concepts cont.
Node Failures
A peer crash is indistinguishable from network failure
A node is considered failed when it no longer can be communicated with
Node health verified by receiving messages or keepalives
evs.inactive_timeout
sets the timeout after which node is considered inactive (dead)
evs.suspect_timeout
sets the timeout after which the node can be pronounced dead if
everyone else agrees
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Galera Concepts cont.
LAN vs WAN replication
No notion of local or remote node
Works as long as TCP works
May need tuning to be more tolerant to network latency/issues
Network params sample
evs.keepalive_period = PT3S
evs.inactive_check_period = PT10S
evs.suspect_timeout = PT30S
evs.inactive_timeout = PT1M
evs.consensus_timeout = PT1M
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Node Provisioning
Automatic node (re)synchronization
A ‘donor’ is chosen to provision a ‘joiner’ node
‘Donor’ node is blocked (write operations) until SST completes
State Snapshot Transfer - SST
Scriptable interface
mysqldump (slow)
rsync (fast)
Percona Xtrabackup (faster and non-blocking)
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Node Provisioning cont.
Client Client Client
Load balancer
Node 1 MySQL
[WSREP]
Node 2 MySQL
[WSREP]
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Node Provisioning cont.
Client Client Client
Load balancer
Node 1 MySQL
[WSREP]
MySQL
Node 2 MySQL
[WSREP] [WSREP] ‘Joiner’ Node 3
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Node Provisioning cont.
Client Client Client
Load balancer
Node 1 MySQL
[WSREP]
‘Joiner’ Node 3
MySQL
Node 2 MySQL
[WSREP] [WSREP] rsync receive
wsrep_cluster_address=Node 2
SST Request
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Node Provisioning cont.
Client Client Client
Load balancer
Node 1 MySQL
[WSREP]
‘Joiner’ Node 3
MySQL
Node 2 MySQL
[WSREP] [WSREP] rsync receive
rsync send
Node 2 in ‘donor mode’.
Write operations blocked
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Node Provisioning cont.
Client Client Client
Load balancer
Node 1 MySQL
[WSREP]
Catch up
MySQL
Node 2 MySQL
[WSREP] [WSREP] Node 3
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Network Partitioning/Split Brain
Quorum based system
“Majority >50%” partition continues operation
“Minority” partition blocks operations
Until reconnected with Primary Component
Use odd number of nodes
Minimum 3 (5, 7, 9 etc)
Galera Arbitrator (garbd)
Useful if you have even number of nodes
Nodes across DCs
Replication relay
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Network Partitioning/Split Brain cont.
Client Client Client
Load balancer
MySQL
[WSREP]
MySQL
1 Primary Component [WSREP]
MySQL
[WSREP]
DC1 DC2
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Network Partitioning/Split Brain cont.
Client Client Client
Load balancer
MySQL
[WSREP]
MySQL
Block operations until
Primary Component ? [WSREP]
reconnected with PC
MySQL
[WSREP]
DC1 DC2
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Network Partitioning/Split Brain cont.
Client Client Client
Load balancer
MySQL
[WSREP]
MySQL
[WSREP]
MySQL
[WSREP]
DC1 DC2
Galera
Arbitrator
DC3
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Network Partitioning/Split Brain cont.
Client Client Client
Load balancer
MySQL
[WSREP]
MySQL
[WSREP]
MySQL
[WSREP]
Replication
Relay
DC1 DC2
Galera
Arbitrator
DC3
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Network Partitioning/Split Brain cont.
Client Client Client
Load balancer
MySQL
[WSREP]
MySQL
Primary Component ? [WSREP]
MySQL
[WSREP]
DC1 DC2
Galera
Arbitrator
DC3
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Galera Configuration Example
[mysqld]
wsrep_cluster_address=/usr/lib64/libgalera_smm.so
wsrep_node_address=gcomm:// # NOTE: This must be changed to peer address ASAP!
wsrep_node_name=node1
wsrep_provider='/usr/lib64/galera/libgalera_smm.so'
wsrep_provider_options='gcache.size=1G;socket.ssl_key=my_key;socket.ssl_cert=my_cert
' wsrep_slave_threads=16
wsrep_sst_method=xtrabackup
wsrep_sst_auth=root:
innodb_buffer_pool_size=1G
innodb_log_file_size=256M
innodb_autoinc_lock_mode=2
innodb_flush_log_at_trx_commit=0
innodb_doublewrite=0
innodb_file_per_table=1
binlog_format=ROW
datadir=/var/lib/mysql
log-bin = mysql-bin
server-id = 2
relay-log = mysql-relay-bin
#read-only = 1
log-slave-updates = 1
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wsrep variables
wsrep_provider
Path to wsrep provider library
wsrep_cluster_address
URI form:'gcomm://another_node_address?opt1=val1&opt2=val2
'gcomm://' special meaning. Initialize the cluster (never leave it in my.cnf)
wsrep_node_address
An optional address of the node. A short-cut way to configure listen
addresses for replication and state transfers
By default it will be initialized to the first network interface returned by
ifconfig. This could be unreliable.
For best results initialize it explicitly
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wsrep variables cont.
wsrep_node_name
An optional name for the node. It will be used in logging and to identify the
desired donor for state transfer
Default it will be initialized to hostname
wsrep_provider_options
Semicolon-separated list of options specific to provider
Ex:
gcache.size – a size of the permanent transaction on-disk cache
socket.ssl_key, socket.ssl_cert – SSL key and certificate files
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wsrep variables cont.
wsrep_slave_threads
Parallel applying threads (1-512)
>1 requires certain InnoDB settings. Applying of STATEMENT-based
events is always serialized
wsrep_sst_method
Base package contains scripts for mysqldump, rsync and xtrabackup
based state snapshot transfers. Own scripts can be used
Default is mysqldump
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Performance Metrics
wsrep_flow_control_paused
Fraction of the time replication was paused
wsrep_flow_control_sent
How many times this node paused replication
wsrep_local_recv_queue_avg
Average length of slave trx queue – a sign of slave side bottleneck
wsrep_cert_deps_distance
How many transactions can be applied in parallel
wsrep_local_send_queue_avg
A sign of network bottleneck
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Number of conflicts/”deadlocks”
wsrep_last_committed
Last committed transaction
wsrep_local_cert_failures, wsrep_local_bf_aborts
Rollbacks, conflicts detected
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Benchmarks: Comparing NDB vs Galera
Note: No optimizations done for the NDB storage engine (DB schema nor queries)
http://codership.com/content/whats-difference-kenneth
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Benchmarks: Comparing NDB vs Galera
Note: No optimizations done for the NDB storage engine (DB schema nor queries)
http://codership.com/content/whats-difference-kenneth
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Best Practices
Dedicated switch/network for Galera Nodes (1 GBit min)
Connection pools/Load balancing with applications
Gives best performance
Use static/elastic IPs for the Galera nodes
Con: Need to handle node membership changes
Con: JDBC/PHP etc are not aware of Galera specific Node states
Load Balancers
Hardware, e.g., IP5
SW load balancer
HAProxy with Galera specific health check scripts
IP dispatching in the kernal for example Linux LVS
GLB (Galera Load Balancer)
Con: Need to setup LB redundancy
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Best Practices cont.
Reference Node
Client Client Client
Act as a ‘donor’ node
Backup node
No client connections LB
R/W R/W R/W
MySQL
[WSREP] ... MySQL
[WSREP]
MySQL
[WSREP]
Donor & Backup
Node
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Best Practices cont.
Minimize probability of deadlocks
Writes go only to 1 Node
Applications use connection pool or Client Client Client
load balancer on read only nodes
Have 1 “reference” Node for write failover
LB
and donor
R R W
MySQL
[WSREP] ... MySQL
[WSREP]
MySQL
[WSREP]
“Master” Node
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Galera Limitations
MyISAM replication is experimental
DDL statements are replicated in statement level
Any writes to other table types, including system (mysql.*) tables are not replicated
CREATE USER..., but issuing: INSERT INTO mysql.user..., will not be replicated
Non-deterministic functions like NOW() are not supported
Query log cannot be directed to table
LOCK/UNLOCK TABLES cannot be supported in multi-master setups
lock functions (GET_LOCK(), RELEASE_LOCK()... )
Maximum allowed transaction size is defined by wsrep_max_ws_rows
and wsrep_max_ws_size
XA transactions can not be supported due to possible rollback on commit
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