Learn strategies to maintain your database's high availability even during peak use periods. MariaDB's Field CTO Max Mether offers best practices for high availability, disaster recovery and more.
Getting started with MariaDB? Whether it is on your laptop or server, containers are great ephemeral vessels for your applications. But what about the data that drives your business? It must survive containers coming and going, maintain its availability and reliability, and grow when you need it.
Using all of the high availability options in MariaDBMariaDB plc
MariaDB provides a number of high availability options, including replication with automatic failover and multi-master clustering. In this session Wagner Bianchi, Principal Remote DBA, provides a comprehensive overview of the high availability features in MariaDB, highlights their impact on consistency and performance, discusses advanced failover strategies and introduces new features such as casual reads and transparent connection failover.
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.
Getting started with MariaDB? Whether it is on your laptop or server, containers are great ephemeral vessels for your applications. But what about the data that drives your business? It must survive containers coming and going, maintain its availability and reliability, and grow when you need it.
Using all of the high availability options in MariaDBMariaDB plc
MariaDB provides a number of high availability options, including replication with automatic failover and multi-master clustering. In this session Wagner Bianchi, Principal Remote DBA, provides a comprehensive overview of the high availability features in MariaDB, highlights their impact on consistency and performance, discusses advanced failover strategies and introduces new features such as casual reads and transparent connection failover.
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.
Apache Kafka becoming the message bus to transfer huge volumes of data from various sources into Hadoop.
It's also enabling many real-time system frameworks and use cases.
Managing and building clients around Apache Kafka can be challenging. In this talk, we will go through the best practices in deploying Apache Kafka
in production. How to Secure a Kafka Cluster, How to pick topic-partitions and upgrading to newer versions. Migrating to new Kafka Producer and Consumer API.
Also talk about the best practices involved in running a producer/consumer.
In Kafka 0.9 release, we’ve added SSL wire encryption, SASL/Kerberos for user authentication, and pluggable authorization. Now Kafka allows authentication of users, access control on who can read and write to a Kafka topic. Apache Ranger also uses pluggable authorization mechanism to centralize security for Kafka and other Hadoop ecosystem projects.
We will showcase open sourced Kafka REST API and an Admin UI that will help users in creating topics, re-assign partitions, Issuing
Kafka ACLs and monitoring Consumer offsets.
How to make data available for analytics ASAPMariaDB plc
There are many ways to import data into MariaDB ColumnStore, including command-line tools for importing files. However, a combination of bulk and streaming data adapters makes it easy to import data on demand, without having to wait for a scheduled job. MariaDB's Jens Röwekamp and Markus Mäkelä show all of the ways to import data, from manual imports to more advanced options such as C++, Java and Python data adapters, Apache Spark, change-data-capture streams and Apache Kafka message queues – all of which can be used to import data on demand so it’s available for analytics as fast as possible.
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.
Kafka Needs no Keeper( Jason Gustafson & Colin McCabe, Confluent) Kafka Summi...confluent
We have been served well by Zookeeper over the years, but it is time for Kafka to stand on its own. This is a talk on the ongoing effort to replace the use of Zookeeper in Kafka: why we want to do it and how it will work. We will discuss the limitations we have found and how Kafka benefits both in terms of stability and scalability by bringing consensus in house. This effort will not be completed over night, but we will discuss our progress, what work is remaining, and how contributors can help. (Note that I am proposing this as a joint talk with Colin McCabe, who is also a committer on the Apache Kafka project.)
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #2: Galera ClusterContinuent
Galera Cluster vs. Continuent Tungsten Clusters
Building a Geo-Scale, Multi-Region and Highly Available MySQL Cloud Back-End
This second installment of our High Noon series of on-demand webinars is focused on Galera Cluster (including MariaDB Cluster & Percona XtraDB Cluster). It looks at some of the key characteristics of Galera Cluster and how it fares as a MySQL HA / DR / Geo-Scale solution, especially when compared to Continuent Tungsten Clustering.
Watch this webinar to learn how to do better MySQL HA / DR / Geo-Scale.
AGENDA
- Goals for the High Noon Webinar Series
- High Noon Series: Tungsten Clustering vs Others
- Galera Cluster (aka MariaDB Cluster & Percona XtraDB Cluster)
- Key Characteristics
- Certification-based Replication
- Galera Multi-Site Requirements
- Limitations Using Galera Cluster
- How to do better MySQL HA / DR / Geo-Scale?
- Galera Cluster vs Tungsten Clustering
- About Continuent & Its Solutions
PRESENTER
Matthew Lang - Customer Success Director – Americas, Continuent - has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.
Cassandra is pretty awesome, sure I am biased, but it rocks. Always on, tuneable consistency and multi-master architecture? Let’s get our web scale on and build a highly available app that never goes down!
Hold on a second. There is one key piece of the puzzle that has a massive impact on your applications availability: the client driver.
In this talk we will go through the how to best configure your clients to make the most of failure handling and tuneable consistency in Cassandra.
Exchange Server 2013 : les mécanismes de haute disponibilité et la redondance...Microsoft Technet France
La nouvelle version d'Exchange Server 2013 intègre une foule de nouveautés lui permettant d'être aujourd'hui le serveur de messagerie le plus sécurisé et le plus fiable sur le marché. L'expérience acquise par la gestion des solutions de messagerie Cloud par les équipes Microsoft a été directement intégrée dans cette nouvelle version du produit ce qui va vous permettre la mise en place d'un système de messagerie ultra résilient. Scott Schnoll, Principal Technical Writer dans l'équipe Exchange à Microsoft Corp va vous expliquer de manière didactique l'ensemble des mécanismes de haute disponibilité et les solutions de resilience inter sites dans les plus petits détails. Venez apprendre directement par l'expert qui a travaillé sur ces sujets chez Microsoft ! Attention, session très technique, en anglais.
Exchange 2013 Haute disponibilité et tolérance aux sinistres (Session 1/2 pre...Microsoft Technet France
Attention, Session en Anglais. Attention Session en 2 parties. Ceci est la première partie. Cette session sera animée par Scott Schnoll, Senior Content Developer chez Microsoft Corp et veritable Gourou Exchange. La messagerie est un élément ultra critique du système d'information : Elle ne DOIT PAS tomber. Pour cela, Exchange 2013 intègre les toutes dernières technologies en terme de tolérance de panne et de haute disponibilité. Scott Schnoll vous expliquera la mécanique de l'intérieur ! Cette session vous donne accès à l'état de l'art sur Exchange. C'est LA session à suivre pour découvrir la mécanique de haute disponibilité d'Exchange 2013.
Speaker : Scott Schnoll (Microsoft)
Various HA and DR setups for Postgres Plus Advanced Server -
Active – Passive OS HA Clustering
Log Shipping Replication (Hot Standby Mode)
Hot Streaming Replication (Hot Standby Mode)
EDB Postgres Plus Failover Manager
HA with read scaling (with pg-pool)
xDB Single Master Replication (SMR)
xDB Multi Master Replication (MMR)
Use Cases
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
Apache Kafka becoming the message bus to transfer huge volumes of data from various sources into Hadoop.
It's also enabling many real-time system frameworks and use cases.
Managing and building clients around Apache Kafka can be challenging. In this talk, we will go through the best practices in deploying Apache Kafka
in production. How to Secure a Kafka Cluster, How to pick topic-partitions and upgrading to newer versions. Migrating to new Kafka Producer and Consumer API.
Also talk about the best practices involved in running a producer/consumer.
In Kafka 0.9 release, we’ve added SSL wire encryption, SASL/Kerberos for user authentication, and pluggable authorization. Now Kafka allows authentication of users, access control on who can read and write to a Kafka topic. Apache Ranger also uses pluggable authorization mechanism to centralize security for Kafka and other Hadoop ecosystem projects.
We will showcase open sourced Kafka REST API and an Admin UI that will help users in creating topics, re-assign partitions, Issuing
Kafka ACLs and monitoring Consumer offsets.
How to make data available for analytics ASAPMariaDB plc
There are many ways to import data into MariaDB ColumnStore, including command-line tools for importing files. However, a combination of bulk and streaming data adapters makes it easy to import data on demand, without having to wait for a scheduled job. MariaDB's Jens Röwekamp and Markus Mäkelä show all of the ways to import data, from manual imports to more advanced options such as C++, Java and Python data adapters, Apache Spark, change-data-capture streams and Apache Kafka message queues – all of which can be used to import data on demand so it’s available for analytics as fast as possible.
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.
Kafka Needs no Keeper( Jason Gustafson & Colin McCabe, Confluent) Kafka Summi...confluent
We have been served well by Zookeeper over the years, but it is time for Kafka to stand on its own. This is a talk on the ongoing effort to replace the use of Zookeeper in Kafka: why we want to do it and how it will work. We will discuss the limitations we have found and how Kafka benefits both in terms of stability and scalability by bringing consensus in house. This effort will not be completed over night, but we will discuss our progress, what work is remaining, and how contributors can help. (Note that I am proposing this as a joint talk with Colin McCabe, who is also a committer on the Apache Kafka project.)
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #2: Galera ClusterContinuent
Galera Cluster vs. Continuent Tungsten Clusters
Building a Geo-Scale, Multi-Region and Highly Available MySQL Cloud Back-End
This second installment of our High Noon series of on-demand webinars is focused on Galera Cluster (including MariaDB Cluster & Percona XtraDB Cluster). It looks at some of the key characteristics of Galera Cluster and how it fares as a MySQL HA / DR / Geo-Scale solution, especially when compared to Continuent Tungsten Clustering.
Watch this webinar to learn how to do better MySQL HA / DR / Geo-Scale.
AGENDA
- Goals for the High Noon Webinar Series
- High Noon Series: Tungsten Clustering vs Others
- Galera Cluster (aka MariaDB Cluster & Percona XtraDB Cluster)
- Key Characteristics
- Certification-based Replication
- Galera Multi-Site Requirements
- Limitations Using Galera Cluster
- How to do better MySQL HA / DR / Geo-Scale?
- Galera Cluster vs Tungsten Clustering
- About Continuent & Its Solutions
PRESENTER
Matthew Lang - Customer Success Director – Americas, Continuent - has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.
Cassandra is pretty awesome, sure I am biased, but it rocks. Always on, tuneable consistency and multi-master architecture? Let’s get our web scale on and build a highly available app that never goes down!
Hold on a second. There is one key piece of the puzzle that has a massive impact on your applications availability: the client driver.
In this talk we will go through the how to best configure your clients to make the most of failure handling and tuneable consistency in Cassandra.
Exchange Server 2013 : les mécanismes de haute disponibilité et la redondance...Microsoft Technet France
La nouvelle version d'Exchange Server 2013 intègre une foule de nouveautés lui permettant d'être aujourd'hui le serveur de messagerie le plus sécurisé et le plus fiable sur le marché. L'expérience acquise par la gestion des solutions de messagerie Cloud par les équipes Microsoft a été directement intégrée dans cette nouvelle version du produit ce qui va vous permettre la mise en place d'un système de messagerie ultra résilient. Scott Schnoll, Principal Technical Writer dans l'équipe Exchange à Microsoft Corp va vous expliquer de manière didactique l'ensemble des mécanismes de haute disponibilité et les solutions de resilience inter sites dans les plus petits détails. Venez apprendre directement par l'expert qui a travaillé sur ces sujets chez Microsoft ! Attention, session très technique, en anglais.
Exchange 2013 Haute disponibilité et tolérance aux sinistres (Session 1/2 pre...Microsoft Technet France
Attention, Session en Anglais. Attention Session en 2 parties. Ceci est la première partie. Cette session sera animée par Scott Schnoll, Senior Content Developer chez Microsoft Corp et veritable Gourou Exchange. La messagerie est un élément ultra critique du système d'information : Elle ne DOIT PAS tomber. Pour cela, Exchange 2013 intègre les toutes dernières technologies en terme de tolérance de panne et de haute disponibilité. Scott Schnoll vous expliquera la mécanique de l'intérieur ! Cette session vous donne accès à l'état de l'art sur Exchange. C'est LA session à suivre pour découvrir la mécanique de haute disponibilité d'Exchange 2013.
Speaker : Scott Schnoll (Microsoft)
Various HA and DR setups for Postgres Plus Advanced Server -
Active – Passive OS HA Clustering
Log Shipping Replication (Hot Standby Mode)
Hot Streaming Replication (Hot Standby Mode)
EDB Postgres Plus Failover Manager
HA with read scaling (with pg-pool)
xDB Single Master Replication (SMR)
xDB Multi Master Replication (MMR)
Use Cases
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
We will show the advantages of having a geo-distributed database cluster and how to create one using Galera Cluster for MySQL. We will also discuss the configuration and status variables that are involved and how to deal with typical situations on the WAN such as slow, untrusted or unreliable links, latency and packet loss. We will demonstrate a multi-region cluster on Amazon EC2 and perform some throughput and latency measurements in real-time (video http://galeracluster.com/videos/using-galera-replication-to-create-geo-distributed-clusters-on-the-wan-webinar-video-3/)
Using galera replication to create geo distributed clusters on the wanSakari Keskitalo
We will show the advantages of having a geo-distributed database cluster and how to create one using Galera Cluster for MySQL. We will also discuss the configuration and status variables that are involved and how to deal with typical situations on the WAN such as slow, untrusted or unreliable links, latency and packet loss. We will demonstrate a multi-region cluster on Amazon EC2 and perform some throughput and latency measurements in real-time.
Using galera replication to create geo distributed clusters on the wanSakari Keskitalo
We will show the advantages of having a geo-distributed database cluster and how to create one using Galera Cluster for MySQL. We will also discuss the configuration and status variables that are involved and how to deal with typical situations on the WAN such as slow, untrusted or unreliable links, latency and packet loss. We will demonstrate a multi-region cluster on Amazon EC2 and perform some throughput and latency measurements in real-time.
Maria DB Galera Cluster for High AvailabilityOSSCube
Want to understand how to set high availability solutions for MySQL using MariaDB Galera Cluster? Join this webinar, and learn from experts. During this webinar, you will also get guidance on how to implement MariaDB Galera Cluster.
Webinar Slides: Geo-Distributed MySQL Clustering Done Right!Continuent
With Multiple Active Primary MySQL Databases
Watch this on-demand webinar to learn the right way to deploy geo-distributed databases. We look at the pitfalls of deploying a single site and passive sites, and from there we show how to provide the best user experience by leveraging geo-distributed MySQL.
When considering geo-distributed MySQL database environments it is important to understand the nuances of having multiple active clusters deployed across sites and clouds. This webinar walks through the proper planning of geo-distributed MySQL for success.
Finally, you’ll learn about our best practices for multiple primary clusters, as well as failover and disaster recovery for MySQL.
AGENDA
- Why Geo-Distributed Databases
- Geo-Distributed MySQL Starts With High Performance Local Clusters
- Extend The Cluster To Multiple Datacenters/Clouds
- Best Practices For Multiple Primary Clusters
- Failover & Disaster Recovery
- Key Benefits
PRESENTER
Matthew Lang, Customer Success Director – Americas, Continuent, has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.
we will discuss important topics related to multi-master setups:
* Practical considerations when using Galera in a multi-master setup
* Evaluating the characteristics of your database workload
* Preparing your application for multi-master
* Detecting and dealing with transaction conflicts
Presenation provides the practical aspects of migrating a database setup based on traditional asynchronous replication to multi-master Galera Cluster. We will discuss the benefits Galera provides and how traditional replication settings, architecture and practices can be converted to Galera Cluster. We will show the steps that are needed to perform the migration with limited or no downtime.
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.
This is the Complete Information about Data Replication you need, i am focused on these topics:
What is replication?
Who use it?
Types ?
Implementation Methods?
Training Slides: Basics 102: Introduction to Tungsten ClusteringContinuent
This 30 minutes training session provides an introduction to how Tungsten Clustering for MySQL / MariaDB / Percona Server works, its basic principles, understanding Tungsten Clustering topologies, failover, rolling maintenance and related tools.
AGENDA
- Review the key benefits offered by Tungsten Clustering
- Examine the Tungsten Clustering architecture
- Tungsten Cluster Topologies for MySQL High Availability and Disaster Recovery
- Composite vs Multi-Site/Multi-Master
- Review automatic and manual failover
- Explore the concepts of a rolling maintenance procedure
- Study key resources to monitor and manage the cluster
Hochverfügbarkeit mit MariaDB Enterprise
Presented by Ralf Gebhardt at the MariaDB Roadshow Germany: 4.7.2014 in Hamburg, 8.7.2014 in Berlin and 11.7.2014 in Frankfurt.
SkySQL is the first and only database-as-a-service (DBaaS) to perform workload analysis with advanced deep learning models, identifying and classifying discrete workload patterns so DBAs can better understand database workloads, identify anomalies and predict changes.
In this session, we’ll explain the concepts behind workload analysis and show how it can be used in the real world (and with sample real-world data) to improve database performance and efficiency by identifying key metrics and changes to cyclical patterns.
SkySQL uses best-of-breed software, and when it comes to metrics and monitoring that means Prometheus and Grafana. SkySQL Monitor is built on both, and provides customers with interactive dashboards for both real-time and historic metrics monitoring. In addition, it meets the same high availability and security requirements as other SkySQL components, ensuring metrics are always available and always secure.
In this session, we’ll explain how SkySQL Monitor works, walk through its dashboards and show how to monitor key metrics for performance and replication.
Introducing the R2DBC async Java connectorMariaDB plc
Not too long ago, a reactive variant of the JDBC driver was released, known as Reactive Relational Database Connectivity (R2DBC for short). While R2DBC started as an experiment to enable integration of SQL databases into systems that use reactive programming models, it now specifies a full-fledged service-provider interface that can be used to retrieve data from a target data source.
In this session, we’ll take a look at the new MariaDB R2DBC connector and examine the advantages of fully reactive, non-blocking development with MariaDB. And, of course, we’ll dive in and get a first-hand look at what it’s like to use the new connector with some live coding!
The capabilities and features of MariaDB Platform continue to expand, resulting in larger and more sophisticated production deployments – and the need for better tools. To provide DBAs with comprehensive, consolidating tooling, we created MariaDB Enterprise Tools: an easy-to-use, modular command-line interface for interacting with any part of MariaDB Platform.
In this session, we will provide a preview of the MariaDB Enterprise Client, walk through current and planned modules and discuss future plans for MariaDB Enterprise Tools – including SkySQL modules and the ability to create custom modules.
Faster, better, stronger: The new InnoDBMariaDB plc
For MariaDB Enterprise Server 10.5, the default transactional storage engine, InnoDB, has been significantly rewritten to improve the performance of writes and backups. Next, we removed a number of parameters to reduce unnecessary complexity, not only in terms of configuration but of the code itself. And finally, we improved crash recovery thanks to better consistency checks and we reduced memory consumption and file I/O thanks to an all new log record format.
In this session, we’ll walk through all of the improvements to InnoDB, and dive deep into the implementation to explain how these improvements help everything from configuration and performance to reliability and recovery.
SkySQL implements a groundbreaking, state-of-the-art architecture based on Kubernetes and ServiceNow, and with a strong emphasis on cloud security – using compartmentalization and indirect access to secure and protect customer databases.
In this session, we’ll walk through the architecture of SkySQL and discuss how MariaDB leverages an advanced Kubernetes operator and powerful ServiceNow configuration/workflow management to deploy and manage databases on cloud infrastructure.
What to expect from MariaDB Platform X5, part 1MariaDB plc
MariaDB Platform X5 will be based on MariaDB Enterprise Server 10.5. This release includes Xpand, a fully distributed storage engine for scaling out, as well as many new features and improvements for DBAs and developers alike, including enhancements to temporal tables, additional JSON functions, a new performance schema, non-blocking schema changes with clustering and a Hashicorp Vault plugin for key management.
In this session, we’ll walk through all of the new features and enhancements available in MariaDB Enterprise Server 10.5. In addition, we will highlight those being backported to maintenance releases of MariaDB Enterprise Server 10.2, 10.3 and 10.4.
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/
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
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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
"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.
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.
3. Uptime,
Downtime, 9s
• 90% -> 36.5 days/year or 72 hours/month
• 99% -> 3.65 days/year or 7.2 hours/month
• 99.9% -> 8.76 hours/year or 43.8 minutes/month
• 99.99% -> 52.56 minutes/year or 4.38 minutes/month
• 99.999% -> 5.26 minutes/year or 25.9 seconds/month
• 99.9999% -> 31.5 seconds/year or 2.59 seconds/month
Availability = uptime /
(uptime + downtime)
Availability and HIGH Availability
Source: http://en.wikipedia.org/wiki/High_availability
4. High Availability Background
• High Availability isn’t always equal to long Uptime
– A system is “up” but it might not be accessible
– A system that is “down” just once, but for a long time, is NOT highly available
• High Availability rather means
– Long Mean Time Between Failures (MTBF)
– Short Mean Time To Recover (MTTR)
• High availability is:
– a system design protocol and associated implementation that ensures a certain degree of
operational continuity during a given measurement period.
5. Approach to HA
Backup /
Restore
1
< 99.9%
Replication /
Automatic
failover
3
~ 99.99%
Simple
replication /
manual
failover
2
~ 99.9%
3 nodes Galera
Cluster
~ 99.999%
4 5
Other
Strategies for High Availability
6. An average of 80 percent of mission-critical application service
downtime is directly caused by people or process failures. The
other 20 percent is caused by technology failure, environmental
failure or a disaster
Gartner Research
7. High Availability Components
High availability is a system design protocol and associated implementation that
ensures a certain degree of operational continuity during a measurement period.
For stateful services, we
need to make sure that
data is made redundant.
It is not a replace for
backups!
Data Redundancy
Some mechanism to
redirect traffic from the
failed server or
Datacenter to a working
one
Failover or Switchover
Solution
Availability of the
services needs to be
monitored, to take
action when there is a
failure or even to
prevent them
Monitoring and
Management
9. General Terms
• Single Point of Failure (SPOF)
– An element is a SPOF when its failure results in a full stop of the service as no other element
can take over (storage, WAN connection, replication channel)
– It is important to evaluate the costs for eliminating the SPOF, the likelyhood that it fails, the
time required to bring it into service again
• Shared Storage Architecture
– Shared storage systems like SANs can provide built-in high availability, though this comes with
equally high costs
– Not really suitable for Disaster Recover scenario on multiple Data Center
• Shared Nothing Architecture
– Each node is independent and self-sufficient
10. General Terms
• Split-Brain
– When nodes in the cluster continue running but cannot communicate causing them to be
inconsistent
– To be avoided at all cost
• Switchover
– When a manual process is used to switch from one system to a redundant or standby system in
case of a failure
• Failover
– Automatic switchover, without human intervention
• Failback
– A (often-underestimated) task to handle the recovery of a failed system and how to fail-back to
this system after recovery
12. MariaDB Replication
• Replication enables data from one MariaDB server (the master) to be replicated to one or
more MariaDB servers (the slaves).
• MariaDB Replication is:
– very easy to setup
– used to scale out read workloads
– provide a first level of high availability and geographic redundancy
– offload backups and analytic jobs.
13. The Binary Log
• Each MariaDB server has a binary log that should be enabled in most cases
• The server stores all changes that happen on the server in the binary log
• The binary log has three modes:
a. ROW: Row change events are stored in the binary log
b. STATEMENT: SQL Statements that change data are stored in the binary log
c. MIXED: Most events are replicated in STATEMENT based but some ROW based
14. Asynchronous Replication
• MariaDB Replication is asynchronous by default.
• Slave determines how much to read and from which point in the binary log
• Slave can be behind master in reading and applying changes
• If the master crashes, transactions might not have been transmitted to any slave
• Asynchronous replication is great for read scaling as adding more replicas does not
impact replication latency
15. Asynchronous Replication Phases
• 3 phases for each transaction:
1. The transaction is committed and written to the masters binary log
2. The slave reads the transaction and writes it to its relay log
3. The transaction is applied on the slave
16. Asynchronous Replication-Switch Over
1. The master server is taken down or we encounter a fault by our monitoring
2. The slave server is updated to the last position in the relay log
3. The clients point at the designated slave server
4. The designated slave server becomes the master server
5. All steps are manual
Master and Slaves
ReadOnly Slaves
Master and Slaves
ReadOnly Slaves
18. Semi-synchronous Replication
• MariaDB supports semi-synchronous replication:
– the master does not confirm transactions to the client application until at least one slave has
copied the change to its relay log, and flushed it to disk.
– In semi-synchronous replication, only after the events have been written to the relay log and
flushed the slave does acknowledge receipt of a transaction's events
– Semi-synchronous is a practical solution for many cases where high availability and no data-loss
is important.
– When a commit returns successfully, it is known that the data exists in at least two places (on the
master and at least one slave).
– Semi- synchronous has a performance impact due to the additional round trip
19. MariaDB Enhanced Semi-synchronous Replication
• One or more slaves can be defined as working semi-synchronously.
• For these slaves, the master waits until the I/O thread on one or more of the semi-synch slaves
has flushed the transaction to disk.
• This ensures that all committed transactions are at least stored in the relay log of the slave.
• Standard semi-synchronous replication would commit the transaction before it gets the
acknowledge of the binlog event from a slave (AFTER_COMMIT or AFTER_SYNC)
20. Semi-synchronous Replication – Switch Over
• The steps for a failover are the same as when using the standard replication
• but in Step 2, a slave should be chosen among those (if many) that are be semi- synched
with the master
Master and Slaves
Semi-Sync
Slave
Async Slaves
Master and Slaves
Async Slaves
21. Semi-Sync Replication Topologies
• Semi- synchronous replication is used between master
and backup master
• Semi- sync replication has a performance impact, but the
risk for data loss is minimized.
• This topology works well when performing master
failover
– The backup master acts as a warm-standby server
– it has the highest probability of having up-to-date data if
compared to other slaves.
Semi_sync
Asynchronous
ReadOnly/
Backup Master
ReadOnly
22. MariaDB Multi-Source Replication
• It enables a slave to receive transactions from
multiple sources simultaneously.
• It can be used to backup multiple servers to a
single server, to merge table shards, and
consolidate data from multiple servers to a single
server.
Master 2Master 1 Master 3
Slave
23. Synchronous Replication
MariaDB Galera Cluster
• Galera Replication is a synchronous multi-master
replication feature enables a true master-master
setup for InnoDB.
• Every node is a share nothing server
• All nodes are masters and applications can read and
write from any node
• A minimal Galera cluster consists of 3 nodes:
– A proper cluster needs to reach a quorum (i.e. the
majority of the nodes of the cluster)
• Transactions are synchronously committed on all
nodes.
MariaDB
MariaDB
MariaDB
24. How it works
• A transaction is started by connecting to one of the
nodes
• Everything (locks, modifications etc) is local until
the transaction is committed
• Upon commit, the writeset is sent out to the other
nodes for certificaton
• The other nodes verify that the transaction doesn't
conflict with any open transactions local to them and
at the same time store the writeset
• If certified the transaction is committed on all nodes
• If the certification fails (due to a conflict) the
transaction is aborted
MariaDB
MariaDB
MariaDB
25. MariaDB Cluster Pros
• PROS
– A high availability solution with synchronous
replication, failover and resynchronization
– No loss of data
– All servers have up-to-date data (no slave lag)
– Read scalability
– 'Pretty good' write scalability
– High availability across data centers
MariaDB
MariaDB
MariaDB
26. MariaDB Cluster Cons
• CONS
– It only supports InnoDB
– The transaction rollback rate and hence the
transaction latency, can increase with the number of
the cluster nodes
– The cluster performs as its less performing note: an
overloaded master affects the performance of the
Galera cluster
MariaDB
MariaDB
MariaDB
28. MDBE
Cluster Failover
Clustered nodes cooperate
to remain in sync
With multiple master nodes,
reads and updates both scale*
Synchronous replication with
optimistic locking delivers high
availability with little overhead
Fast failover because all
nodes remains synchronizedMariaDB
MariaDB
MariaDB
Load Balancing
and Failover
Application /
App Server
29. MaxScale Use Case
Master/Slaves Async
Replication
MaxScale monitors a MariaDB Topology
Master/Slaves + R/W split routing
Max
Scale
MariaDB
31. MaxScale Use Case
Master/Slaves Async
Replication
1 . Master failure
2 . MaxScale Monitor detects the master_down
event
Master/Slaves + R/W split routing
Max
Scale
MariaDB
script
Failover Script
Monitor
master_down event
2
32. MaxScale Use Case
Master/Slaves Async
Replication
1 . Master failure
2 . MaxScale Monitor detects the master_down
event
3 . In case it is configured, MaxScale launches a
Failover Script that promotes a slave as a new
Master
Master/Slaves + R/W split routing
Max
Scale
MariaDB
script
Failover Script
Monitor
master_down event
2
Promote as master3
33. MaxScale Use Case
Master/Slaves Async
Replication
1 . Master failure
2 . MaxScale Monitor detects the master_down
event
3 . In case it is configured, MaxScale launches a
Failover Script that promotes a slave as a new
Master
Master/Slaves + R/W split routing
Max
Scale
MariaDB
script
Failover Script
Monitor
master_down event
2
Promote as master3
34. MaxScale Use Case
Master/Slaves Async
Replication
1 . Master failure
2 . MaxScale Monitor detects the master_down
event
3 . In case it is configured, MaxScale launches a
Failover Script that promotes a slave as a new
Master
4 . MaxScale monitor automatically detects new
replication topology after the switch
Master/Slaves + R/W split routing
Max
Scale
MariaDB
Monitor 2
4
35. MaxScale Use Case
MDBE Cluster
Synchronous Replication
Each application server
uses only 1 connection
MaxScale selects one node
as “master” and the other
nodes as “slaves”
If the “master” node fails,
a new one can be elected
immediately
Galera Cluster + R/W split routing
Max
Scale
36. MariaDB HA: MaxScale
• Re-route traffic between
master and slave(s)
• Does not manage servers
• Failover / slave promotion
is an external process
• Implemented for Booking.com
• Part of MaxScale release
• All slaves are in sync,
easy to promote any slave
Read / Write Splitter
Detects Active Master
Binary Log
Server