This plugin can be used for general monitoring of CassandraDB's performance, process and connections. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=601
A Detailed Look At cassandra.yaml (Edward Capriolo, The Last Pickle) | Cassan...DataStax
Successfully running Apache Cassandra in production often means knowing what configuration settings to change and which ones to leave as default. Over the years the cassandra.yaml file has grown to provide a number of settings that can improve stability and performance. While the file contains plenty of helpful comments, there is more to be said about the settings and when to change them.
In this talk Edward Capriolo, Consultant at The Last Pickle, will break down the parameters in the configuration files. Looking at those that are essential to getting started, those that impact performance, those that improve availability, the exotic ones, and the ones that should not be played with. This talk is ideal for someone someone setting up Cassandra for the first time up to people with deployments in productions and wondering what the more exotic configuration options do.
About the Speaker
Edward Capriolo Consultant, The Last Pickle
Long time Apache Cassandra user, big data enthusiast.
Advanced Apache Cassandra Operations with JMXzznate
Nodetool is a command line interface for managing a Cassandra node. It provides commands for node administration, cluster inspection, table operations and more. The nodetool info command displays node-specific information such as status, load, memory usage and cache details. The nodetool compactionstats command shows compaction status including active tasks and progress. The nodetool tablestats command displays statistics for a specific table including read/write counts, space usage, cache usage and latency.
This document discusses how to monitor Apache Cassandra clusters in real-time using Riemann. It describes how to set up Riemann to receive metrics collected by Cassandra and generate events. Metrics like read/write latencies, request counts, JVM stats and more can be monitored. Events are sent to Riemann which processes them through streams of filters and sends alerts. The metrics can be visualized in real-time graphs in Riemann's web dashboard. Thresholds can also trigger alerts when breached.
The Best and Worst of Cassandra-stress Tool (Christopher Batey, The Last Pick...DataStax
Making sure your Data Model will work on the production cluster after 6 months as well as it does on your laptop is an important skill. It's one that we use every day with our clients at The Last Pickle, and one that relies on tools like the cassandra-stress. Knowing how the data model will perform under stress once it has been loaded with data can prevent expensive re-writes late in the project.
In this talk Christopher Batey, Consultant at The Last Pickle, will shed some light on how to use the cassandra-stress tool to test your own schema, graph the results and even how to extend the tool for your own use cases. While this may be called premature optimisation for a RDBS, a successful Cassandra project depends on it's data model.
About the Speaker
Christopher Batey Consultant / Software Engineer, The Last Pickle
Christopher (@chbatey) is a part time consultant at The Last Pickle where he works with clients to help them succeed with Apache Cassandra as well as a freelance software engineer working in London. Likes: Scala, Haskell, Java, the JVM, Akka, distributed databases, XP, TDD, Pairing. Hates: Untested software, code ownership. You can checkout his blog at: http://www.batey.info
Successful Software Development with Apache Cassandrazznate
Adding a new technology to your development process can be challenging, and the distributed nature of Apache Cassandra can make it daunting. However, recent improvements in drivers, utilities and tooling have simplified the process making it easier than ever before to develop software with Apache Cassandra.
In this presentation, we cover essential knowledge for all developers wanting to efficiently create reliable Apache Cassandra based solutions. Topics include:
- Language and Driver selection
- Optimizing Driver configuration
- Productive Developer environments using ccm, Vagrant and DataStax DevCenter
- Creating appropriate test data
- Unit testing
- Automated integration testing
- Test optimization with profiles
New and existing users will come away from this presentation with the necessary knowledge to make their next Apache Cassandra project a success.
This document provides an overview of ProxySQL, a high performance proxy for MySQL. It discusses ProxySQL's main features such as query routing, caching, load balancing, and high availability capabilities including seamless failover. The document also describes ProxySQL's internal architecture including modules for queries processing, user authentication, hostgroup management, and more. Examples are given showing how hostgroups can be used for read/write splitting and replication topologies.
A Detailed Look At cassandra.yaml (Edward Capriolo, The Last Pickle) | Cassan...DataStax
Successfully running Apache Cassandra in production often means knowing what configuration settings to change and which ones to leave as default. Over the years the cassandra.yaml file has grown to provide a number of settings that can improve stability and performance. While the file contains plenty of helpful comments, there is more to be said about the settings and when to change them.
In this talk Edward Capriolo, Consultant at The Last Pickle, will break down the parameters in the configuration files. Looking at those that are essential to getting started, those that impact performance, those that improve availability, the exotic ones, and the ones that should not be played with. This talk is ideal for someone someone setting up Cassandra for the first time up to people with deployments in productions and wondering what the more exotic configuration options do.
About the Speaker
Edward Capriolo Consultant, The Last Pickle
Long time Apache Cassandra user, big data enthusiast.
Advanced Apache Cassandra Operations with JMXzznate
Nodetool is a command line interface for managing a Cassandra node. It provides commands for node administration, cluster inspection, table operations and more. The nodetool info command displays node-specific information such as status, load, memory usage and cache details. The nodetool compactionstats command shows compaction status including active tasks and progress. The nodetool tablestats command displays statistics for a specific table including read/write counts, space usage, cache usage and latency.
This document discusses how to monitor Apache Cassandra clusters in real-time using Riemann. It describes how to set up Riemann to receive metrics collected by Cassandra and generate events. Metrics like read/write latencies, request counts, JVM stats and more can be monitored. Events are sent to Riemann which processes them through streams of filters and sends alerts. The metrics can be visualized in real-time graphs in Riemann's web dashboard. Thresholds can also trigger alerts when breached.
The Best and Worst of Cassandra-stress Tool (Christopher Batey, The Last Pick...DataStax
Making sure your Data Model will work on the production cluster after 6 months as well as it does on your laptop is an important skill. It's one that we use every day with our clients at The Last Pickle, and one that relies on tools like the cassandra-stress. Knowing how the data model will perform under stress once it has been loaded with data can prevent expensive re-writes late in the project.
In this talk Christopher Batey, Consultant at The Last Pickle, will shed some light on how to use the cassandra-stress tool to test your own schema, graph the results and even how to extend the tool for your own use cases. While this may be called premature optimisation for a RDBS, a successful Cassandra project depends on it's data model.
About the Speaker
Christopher Batey Consultant / Software Engineer, The Last Pickle
Christopher (@chbatey) is a part time consultant at The Last Pickle where he works with clients to help them succeed with Apache Cassandra as well as a freelance software engineer working in London. Likes: Scala, Haskell, Java, the JVM, Akka, distributed databases, XP, TDD, Pairing. Hates: Untested software, code ownership. You can checkout his blog at: http://www.batey.info
Successful Software Development with Apache Cassandrazznate
Adding a new technology to your development process can be challenging, and the distributed nature of Apache Cassandra can make it daunting. However, recent improvements in drivers, utilities and tooling have simplified the process making it easier than ever before to develop software with Apache Cassandra.
In this presentation, we cover essential knowledge for all developers wanting to efficiently create reliable Apache Cassandra based solutions. Topics include:
- Language and Driver selection
- Optimizing Driver configuration
- Productive Developer environments using ccm, Vagrant and DataStax DevCenter
- Creating appropriate test data
- Unit testing
- Automated integration testing
- Test optimization with profiles
New and existing users will come away from this presentation with the necessary knowledge to make their next Apache Cassandra project a success.
This document provides an overview of ProxySQL, a high performance proxy for MySQL. It discusses ProxySQL's main features such as query routing, caching, load balancing, and high availability capabilities including seamless failover. The document also describes ProxySQL's internal architecture including modules for queries processing, user authentication, hostgroup management, and more. Examples are given showing how hostgroups can be used for read/write splitting and replication topologies.
Mixing Batch and Real-time: Cassandra with Shark (Cassandra Europe 2013)Richard Low
The document discusses running batch analytics queries on Cassandra databases by using Spark and Shark to directly access the SSTables. Current solutions like running Hive on Cassandra have performance issues. The author's solution uses Spark workers running on Cassandra nodes to read SSTables directly, avoiding the filesystem cache and CQL interface. Performance tests show this approach is 2.5x faster than using the CQL interface and has lower and more predictable query latency, even under write load. The author calls for further development and contributions to the technique.
Cassandra Community Webinar: Apache Cassandra InternalsDataStax
Apache Cassandra solves many interesting problems to provide a scalable, distributed, fault tolerant database. Cluster wide operations track node membership, direct requests and implement consistency guarantees. At the node level, the Log Structured storage engine provides high performance reads and writes. All of this is implemented in a Java code base that has greatly matured over the past few years.
In this webinar Aaron Morton will step through read and write requests, automatic processes and manual maintenance tasks. He will also discuss the general approach to solving the problem and drill down to the code responsible for implementation.
Speaker: Aaron Morton, Apache Cassandra Committer
Aaron Morton is a Freelance Developer based in New Zealand, and a Committer on the Apache Cassandra project. In 2010 he gave up the RDBMS world for the scale and reliability of Cassandra. He now spends his time advancing the Cassandra project and helping others get the best out of it.
Spring One 2 GX 2014 - CACHING WITH SPRING: ADVANCED TOPICS AND BEST PRACTICESMichael Plöd
Caching is relevant for a wide range of business applications and there is a huge variety of products in the market ranging from easy to adopt local heap based caches to powerful distributed data grids. This talk addresses advanced usage of Spring’s caching abstraction such as integrating a cache provider that is not integrated by the default Spring Package. In addition to that I will also give an overview of the JCache Specification and it’s adoption in the Spring ecosystem. Finally the presentation will also address various best practices for integrating various caching solutions into enterprise grade applications that don’t have the luxury of having „eventual consistency“ as a non-functional requirement.
Scaling with sync_replication using Galera and EC2Marco Tusa
Challenging architecture design, and proof of concept on a real case of study using Syncrhomous solution.
Customer asks me to investigate and design MySQL architecture to support his application serving shops around the globe.
Scale out and scale in base to sales seasons.
Talend Open Studio for Big Data provides tools for integrating and processing big data using Apache Hadoop. It allows users to access, transform, move and synchronize big data in the Hadoop platform through a visual designer. The document outlines prerequisites for using Talend products, including installing Java, setting environment variables, and installing utilities like 7-Zip. It also provides instructions for downloading, installing, and getting started with the Studio.
Lessons from Cassandra & Spark (Matthias Niehoff & Stephan Kepser, codecentri...DataStax
We built an application based on the principles of CQRS and Event Sourcing using Cassandra and Spark. During the project we encountered a number of challenges and problems with Cassandra and the Spark Connector.
In this talk we want to outline a few of those problems and our actions to solve them. While some problems are specific to CQRS and Event Sourcing applications most of them are use case independent.
About the Speakers
Matthias Niehoff IT-Consultant, codecentric AG
works as an IT-Consultant at codecentric AG in Germany. His focus is on big data & streaming applications with Apache Cassandra & Apache Spark. Yet he does not lose track of other tools in the area of big data. Matthias shares his experiences on conferences, meetups and usergroups.
Stephan Kepser Senior IT Consultant and Data Architect, codecentric AG
Dr. Stephan Kepser is an expert on cloud computing and big data. He wrote a couple of journal articles and blog posts on subjects of both fields. His interests reach from legal questions to questions of architecture and design of cloud computing and big data systems to technical details of NoSQL databases.
The document discusses testing Cassandra applications using Stubbed Cassandra, a tool that allows priming Cassandra to return specific responses and errors to integration tests. It provides an overview of Stubbed Cassandra's features like starting an embedded server, priming queries and prepared statements, verifying query executions, and testing error scenarios. Examples are given of how to test different behaviors like retries, timeouts, and coordinator issues. The speaker encourages helping with the open source project and answers questions.
Case Study: Troubleshooting Cassandra performance issues as a developerCarlos Alonso Pérez
This talk will be a step by step walkthrough of a developer troubleshooting a real performance issue we had at MyDrive, from the very first steps diagnosing the symptoms, through looking at metric charts down to CQL queries, the Ruby CQL driver, and Ruby code profiling.
Webinar slides: Introducing Galera 3.0 - Now supporting MySQL 5.6Severalnines
You'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks. The benefits are clear; a globally distributed MySQL setup across regions to deliver Severalnines availability and real-time responsiveness.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
Optimizing Your Cluster with Coordinator Nodes (Eric Lubow, SimpleReach) | Ca...DataStax
With the addition of vnodes (Virtual Nodes), Cassandra users were able to gain a few benefits as a result of streaming when it came to bootstrapping and decommissioning nodes. On the flip side, having to route requests on larger clusters became a lot more intensive of a workload for all nodes that were then forced to act coordinator nodes. By setting up a tier of proxy nodes, we were able to have our cluster of 50 nodes perform with a 300% improvement on average in a mixed workload environment. This is an explanation of what we did, how we did it, and why it works.
About the Speaker
Eric Lubow CTO, SimpleReach
Eric Lubow is CTO of SimpleReach, where he builds highly-scalable distributed systems for processing analytics data. Eric is also a DataStax MVP for Cassandra, and co-author of Practical Cassandra. In his spare time, Eric is a skydiver, motorcycle rider, mixed martial artist, and dog dad.
- Galera is a MySQL clustering solution that provides true multi-master replication with synchronous replication and no single point of failure.
- It allows high availability, data integrity, and elastic scaling of databases across multiple nodes.
- Companies like Percona and MariaDB have integrated Galera to provide highly available database clusters.
Apache cassandra and spark. you got the the lighter, let's start the firePatrick McFadin
Introduction to analyzing Apache Cassandra data using Apache Spark. This includes data models, operations topics and the internal on how Spark interfaces with Cassandra.
Do more with Galera Cluster in your OpenStack cloudphilip_stoev
This document discusses Galera, an open-source synchronous multi-master replication plugin for MySQL. It can be used to create highly available, fault-tolerant MySQL clusters. Galera replicates all data changes across nodes simultaneously and supports both single-master and multi-master configurations. It has been used successfully in OpenStack deployments and allows for geo-distributed databases across data centers with minimal latency. The document also outlines the benefits of deploying and managing Galera clusters using tools like Juju.
Slides for the webinar held on January 21st 2014
Repair & Recovery for your MySQL, MariaDB & MongoDB / TokuMX Clusters
Galera Cluster, NDB Cluster, VIP with HAProxy and Keepalived, MongoDB Sharded Cluster, etc. all have their own availability models. We are aware of these availability models and will demonstrate in this webinar how to take corrective action in case of failures via our cluster management tool, ClusterControl.
In this webinar, Severalnines CTO Johan Andersson will show you how to leverage ClusterControl to detect failures in your database cluster and automatically repair them to maximize the availability of your database services. And Codership CEO Seppo Jaakola will be joining Johan to provide a deep-dive into Galera recovery internals.
Agenda:
Redundancy models for Galera, NDB and MongoDB/TokuMX
Failover & Recovery (Automatic vs Manual)
Zooming into Galera recovery procedures
Split brains in multi-datacenter setups
Apache Cassandra is a popular choice for a wide variety of application persistence needs. There are many design choices that can effect uptime and performance. In this talk we'll look at some of the many things to consider from a single server to multiple data centers. Basic understanding of Cassandra features coupled with client driver features can be a very powerful combination. This talk will be an introduction but will deep dive into the technical details of how Cassandra works.
A Cassandra + Solr + Spark Love Triangle Using DataStax EnterprisePatrick McFadin
Wait! Back away from the Cassandra 2ndary index. It’s ok for some use cases, but it’s not an easy button. "But I need to search through a bunch of columns to look for the data and I want to do some regression analysis… and I can’t model that in C*, even after watching all of Patrick McFadins videos. What do I do?” The answer, dear developer, is in DSE Search and Analytics. With it’s easy Solr API and Spark integration so you can search and analyze data stored in your Cassandra database until your heart’s content. Take our hand. WE will show you how.
Topics covered in this presentation:
1. The difference between traditional (e.g. MySQL) replication and Galera Cluster
2. General Galera Cluster principles
- Apache Cassandra is a linearly scalable and fault tolerant NoSQL database that increases throughput linearly with additional machines
- It is an AP system that is eventually consistent according to the CAP theorem, sacrificing consistency in favor of availability and partition tolerance
- Cassandra uses replication and consistency levels to control fault tolerance at the server and client levels respectively
- Its data model and use of SSTables allows for fast writes and queries along clustering columns
This is a plugin for monitoring the SUN One webserver, using a local plugin, running in Unix/Linux/Windows agents.
This plugins reports server response check, process information (status, memory, cpu), volume information, logfile parsing, and performance http parameters. For more information visit the following web page: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=592
Three modules for the remote inventory feature on Pandora FMS Enterprise. Get's information from CISCO devices like CPU, IOS version, Interfaces and other hardware info (version, s/n). For mo
Mixing Batch and Real-time: Cassandra with Shark (Cassandra Europe 2013)Richard Low
The document discusses running batch analytics queries on Cassandra databases by using Spark and Shark to directly access the SSTables. Current solutions like running Hive on Cassandra have performance issues. The author's solution uses Spark workers running on Cassandra nodes to read SSTables directly, avoiding the filesystem cache and CQL interface. Performance tests show this approach is 2.5x faster than using the CQL interface and has lower and more predictable query latency, even under write load. The author calls for further development and contributions to the technique.
Cassandra Community Webinar: Apache Cassandra InternalsDataStax
Apache Cassandra solves many interesting problems to provide a scalable, distributed, fault tolerant database. Cluster wide operations track node membership, direct requests and implement consistency guarantees. At the node level, the Log Structured storage engine provides high performance reads and writes. All of this is implemented in a Java code base that has greatly matured over the past few years.
In this webinar Aaron Morton will step through read and write requests, automatic processes and manual maintenance tasks. He will also discuss the general approach to solving the problem and drill down to the code responsible for implementation.
Speaker: Aaron Morton, Apache Cassandra Committer
Aaron Morton is a Freelance Developer based in New Zealand, and a Committer on the Apache Cassandra project. In 2010 he gave up the RDBMS world for the scale and reliability of Cassandra. He now spends his time advancing the Cassandra project and helping others get the best out of it.
Spring One 2 GX 2014 - CACHING WITH SPRING: ADVANCED TOPICS AND BEST PRACTICESMichael Plöd
Caching is relevant for a wide range of business applications and there is a huge variety of products in the market ranging from easy to adopt local heap based caches to powerful distributed data grids. This talk addresses advanced usage of Spring’s caching abstraction such as integrating a cache provider that is not integrated by the default Spring Package. In addition to that I will also give an overview of the JCache Specification and it’s adoption in the Spring ecosystem. Finally the presentation will also address various best practices for integrating various caching solutions into enterprise grade applications that don’t have the luxury of having „eventual consistency“ as a non-functional requirement.
Scaling with sync_replication using Galera and EC2Marco Tusa
Challenging architecture design, and proof of concept on a real case of study using Syncrhomous solution.
Customer asks me to investigate and design MySQL architecture to support his application serving shops around the globe.
Scale out and scale in base to sales seasons.
Talend Open Studio for Big Data provides tools for integrating and processing big data using Apache Hadoop. It allows users to access, transform, move and synchronize big data in the Hadoop platform through a visual designer. The document outlines prerequisites for using Talend products, including installing Java, setting environment variables, and installing utilities like 7-Zip. It also provides instructions for downloading, installing, and getting started with the Studio.
Lessons from Cassandra & Spark (Matthias Niehoff & Stephan Kepser, codecentri...DataStax
We built an application based on the principles of CQRS and Event Sourcing using Cassandra and Spark. During the project we encountered a number of challenges and problems with Cassandra and the Spark Connector.
In this talk we want to outline a few of those problems and our actions to solve them. While some problems are specific to CQRS and Event Sourcing applications most of them are use case independent.
About the Speakers
Matthias Niehoff IT-Consultant, codecentric AG
works as an IT-Consultant at codecentric AG in Germany. His focus is on big data & streaming applications with Apache Cassandra & Apache Spark. Yet he does not lose track of other tools in the area of big data. Matthias shares his experiences on conferences, meetups and usergroups.
Stephan Kepser Senior IT Consultant and Data Architect, codecentric AG
Dr. Stephan Kepser is an expert on cloud computing and big data. He wrote a couple of journal articles and blog posts on subjects of both fields. His interests reach from legal questions to questions of architecture and design of cloud computing and big data systems to technical details of NoSQL databases.
The document discusses testing Cassandra applications using Stubbed Cassandra, a tool that allows priming Cassandra to return specific responses and errors to integration tests. It provides an overview of Stubbed Cassandra's features like starting an embedded server, priming queries and prepared statements, verifying query executions, and testing error scenarios. Examples are given of how to test different behaviors like retries, timeouts, and coordinator issues. The speaker encourages helping with the open source project and answers questions.
Case Study: Troubleshooting Cassandra performance issues as a developerCarlos Alonso Pérez
This talk will be a step by step walkthrough of a developer troubleshooting a real performance issue we had at MyDrive, from the very first steps diagnosing the symptoms, through looking at metric charts down to CQL queries, the Ruby CQL driver, and Ruby code profiling.
Webinar slides: Introducing Galera 3.0 - Now supporting MySQL 5.6Severalnines
You'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks. The benefits are clear; a globally distributed MySQL setup across regions to deliver Severalnines availability and real-time responsiveness.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
Optimizing Your Cluster with Coordinator Nodes (Eric Lubow, SimpleReach) | Ca...DataStax
With the addition of vnodes (Virtual Nodes), Cassandra users were able to gain a few benefits as a result of streaming when it came to bootstrapping and decommissioning nodes. On the flip side, having to route requests on larger clusters became a lot more intensive of a workload for all nodes that were then forced to act coordinator nodes. By setting up a tier of proxy nodes, we were able to have our cluster of 50 nodes perform with a 300% improvement on average in a mixed workload environment. This is an explanation of what we did, how we did it, and why it works.
About the Speaker
Eric Lubow CTO, SimpleReach
Eric Lubow is CTO of SimpleReach, where he builds highly-scalable distributed systems for processing analytics data. Eric is also a DataStax MVP for Cassandra, and co-author of Practical Cassandra. In his spare time, Eric is a skydiver, motorcycle rider, mixed martial artist, and dog dad.
- Galera is a MySQL clustering solution that provides true multi-master replication with synchronous replication and no single point of failure.
- It allows high availability, data integrity, and elastic scaling of databases across multiple nodes.
- Companies like Percona and MariaDB have integrated Galera to provide highly available database clusters.
Apache cassandra and spark. you got the the lighter, let's start the firePatrick McFadin
Introduction to analyzing Apache Cassandra data using Apache Spark. This includes data models, operations topics and the internal on how Spark interfaces with Cassandra.
Do more with Galera Cluster in your OpenStack cloudphilip_stoev
This document discusses Galera, an open-source synchronous multi-master replication plugin for MySQL. It can be used to create highly available, fault-tolerant MySQL clusters. Galera replicates all data changes across nodes simultaneously and supports both single-master and multi-master configurations. It has been used successfully in OpenStack deployments and allows for geo-distributed databases across data centers with minimal latency. The document also outlines the benefits of deploying and managing Galera clusters using tools like Juju.
Slides for the webinar held on January 21st 2014
Repair & Recovery for your MySQL, MariaDB & MongoDB / TokuMX Clusters
Galera Cluster, NDB Cluster, VIP with HAProxy and Keepalived, MongoDB Sharded Cluster, etc. all have their own availability models. We are aware of these availability models and will demonstrate in this webinar how to take corrective action in case of failures via our cluster management tool, ClusterControl.
In this webinar, Severalnines CTO Johan Andersson will show you how to leverage ClusterControl to detect failures in your database cluster and automatically repair them to maximize the availability of your database services. And Codership CEO Seppo Jaakola will be joining Johan to provide a deep-dive into Galera recovery internals.
Agenda:
Redundancy models for Galera, NDB and MongoDB/TokuMX
Failover & Recovery (Automatic vs Manual)
Zooming into Galera recovery procedures
Split brains in multi-datacenter setups
Apache Cassandra is a popular choice for a wide variety of application persistence needs. There are many design choices that can effect uptime and performance. In this talk we'll look at some of the many things to consider from a single server to multiple data centers. Basic understanding of Cassandra features coupled with client driver features can be a very powerful combination. This talk will be an introduction but will deep dive into the technical details of how Cassandra works.
A Cassandra + Solr + Spark Love Triangle Using DataStax EnterprisePatrick McFadin
Wait! Back away from the Cassandra 2ndary index. It’s ok for some use cases, but it’s not an easy button. "But I need to search through a bunch of columns to look for the data and I want to do some regression analysis… and I can’t model that in C*, even after watching all of Patrick McFadins videos. What do I do?” The answer, dear developer, is in DSE Search and Analytics. With it’s easy Solr API and Spark integration so you can search and analyze data stored in your Cassandra database until your heart’s content. Take our hand. WE will show you how.
Topics covered in this presentation:
1. The difference between traditional (e.g. MySQL) replication and Galera Cluster
2. General Galera Cluster principles
- Apache Cassandra is a linearly scalable and fault tolerant NoSQL database that increases throughput linearly with additional machines
- It is an AP system that is eventually consistent according to the CAP theorem, sacrificing consistency in favor of availability and partition tolerance
- Cassandra uses replication and consistency levels to control fault tolerance at the server and client levels respectively
- Its data model and use of SSTables allows for fast writes and queries along clustering columns
This is a plugin for monitoring the SUN One webserver, using a local plugin, running in Unix/Linux/Windows agents.
This plugins reports server response check, process information (status, memory, cpu), volume information, logfile parsing, and performance http parameters. For more information visit the following web page: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=592
Three modules for the remote inventory feature on Pandora FMS Enterprise. Get's information from CISCO devices like CPU, IOS version, Interfaces and other hardware info (version, s/n). For mo
Pandora FMS: Plugin de exchange de acceso de web Pandora FMS
Plugin de monitorización outlook de acceso de web. El objetivo de este plugin es la monitorización del funcionamiento del acceso de web de outlook. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?
The document provides instructions for monitoring emails sent and received from BlackBerry devices using Pandora FMS and the Exchange monitoring plugin for Outlook. It discusses installing and configuring the BlackBerry monitoring plugin, which returns modules for measuring email latency and checking for mail arrival. System requirements include Pandora FMS agent, Outlook 2010, and ActivePerl. The monitoring works by searching email subjects and bodies for a reference string like "BlackBerry".
This is an Enterprise plugin which allow you to monitor Oracle databases. With this plugin you can monitor all databases in global or selecting each one per instance. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=272
Pandora FMS: Plugin de monitorización de Hyper VPandora FMS
Plugin de monitorización de Hyper-V que permite manejar arquitecturas virtuales Hyper-V facilmente. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=587
Pandora FMS: Plugin Enterprise de VMwarePandora FMS
Este plugin permite monitorizar ESX, Datastores y VM de las arquitecturas VMware automaticamente. También incorpora muchos modulos para monitorizar arquitecturas virtuales. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=269
A general performance settings monitoring plugin on the RavenDB database. It uses system commands to obtain the general performance settings for the database. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=606
This is an Enterprise Plugin which allow you to monitor Tomcat web servers using mod_status. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=275
This plugin help you to monitor SQL Servers environments extracting information with the help of: Powershell 2.0 Console, an open interface to specify free SQL queries, the system integrated with the windows agent, and SQLPS.exe. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=315
This plugin allows you to discover your ESX, Datastores and VM of your VMware architecture automatically. This plugin also has a lot of modules to monitor your virtual architecture. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=269
Pandora FMS: End to End Exchange PluginPandora FMS
This plugin monitors the correct working of the Exchange mail system from the client point of view. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=573
Pandora FMS: Plugin de monitorización de Outlook AnywherePandora FMS
Monitoriza la conexión externa entre Outlook (RPC por proxy HTTP) y sistema de correos de Exchange. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=571
Este plugin permite monitorizar entornos de servidor sql extrayendo información mediante: la consola de powershell 2.0, una interfaz abierta para especificar colas sql y sqlps.exe. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=315
Se trata de un plugin generico de monitorización de las caracteristicas de rendimiento de la base de datos Hbase, mediante el uso de commandos del sistema y el servidor de información de hbase para obtener información. Para saber más sobre este plugin puede visitar la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=605
A general performance settings monitoring plugin on the Hbase database
Este plugin puede mostrar información sobre el % de uso de memoria, % de uso de disco y el % total de CPU de windows mediante WMI remoto. Para más información pueden visitar el siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=557
Este plugin permite monitorizar un servidor Informix. Se trata de un plugin local, que utiliza herramientas locales de Informix para la recolección de la información. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=591
Pandora FMS: Plugin Enterprise de Apache Tomcat Pandora FMS
Se trata de un plugin enterprise que permite monitorizar servidores web Tomcat utilizando mod_status. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=275
With this plugin you can monitor JBoss using JMX and Twiddle by using a Pandora FMS Agent Plugin, for Linux/Unix.
For more information visit the following link:
With this plugin it is easy to do a massive monitoring of performance counters in Windows environments with a II service integrated, and also the monitoring of the
status of Sites, Application Pools, URLs and the events and registers of this service. Fore more information visit the following web page http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=279
This document provides documentation for Percona XtraDB Cluster, an open-source high availability and scalability solution for MySQL users. It includes sections on installation from binaries or source code, key features like high availability and multi-master replication, FAQs, how-tos, limitations, and other documentation. Percona XtraDB Cluster provides synchronous replication across multiple MySQL/Percona Server nodes, allowing for high availability and the ability to write to any node.
Cassandra - A decentralized storage systemArunit Gupta
Cassandra uses consistent hashing to partition and distribute data across nodes in the cluster. Each node is assigned a random position on a ring based on the hash value of the partition key. This allows data to be evenly distributed when nodes join or leave. Cassandra replicates data across multiple nodes for fault tolerance and high availability. It supports different replication policies like rack-aware and datacenter-aware replication to ensure replicas are not co-located. Membership and failure detection in Cassandra uses a gossip protocol and scuttlebutt reconciliation to efficiently discover nodes and detect failures in the distributed system.
DB proxy server test: run tests on tens of virtual machines with Jenkins, Vag...Timofey Turenko
The presentation describes CI environment for our product - Maxscale - database proxy server. To test such product we need a setup that consists of tens of machines: locally hosted virtual machines as well as machines from different clouds. All our Jenkins jobs are implemented in the form of Jenkins Job Builder code. Presentations also tells about our tool to manage virtual machines (wrapper over Vagrant)- MDBCI.
This document summarizes a presentation by Vinay Chella and Joey Lynch from Netflix on building and running cloud native Cassandra. They outline some of Cassandra's limitations for cloud deployments including development friction, packaging issues, cluster startup difficulties, and lack of scaling tools. Their proposals aim to address these by improving documentation, automating builds/tests, packaging for containers/packages, adding cluster control planes, and integrating metrics/monitoring. The speakers believe targeted changes can help Cassandra better support cloud-native principles of flexibility, scalability, and reliability.
Pollfish is a survey platform which provides access to millions of targeted users. Pollfish allows easy distribution and targeting of surveys through existing mobile apps. (https://www.pollfish.com/). At pollfish we use Cassandra for difference use cases, eg. for application data store to maximize write throughput when appropriate and for our analytics project to find insights in application generated data. As a medium to accomplish our success so far, we use the Datastax's DSE 4.6 environment which integrates Appache Cassadra, Spark and a hadoop compatible file system (CFS). We will discuss how we started, how the journey was and the impressions gained so far along with some tips learned the hard way. This is a result of joint work of an excellent team here at Pollfish.
Percona Cluster with Master_Slave for Disaster RecoveryRam Gautam
The document describes setting up asynchronous master-slave database replication between a production database cluster and a disaster recovery database cluster using Percona tools. It provides configuration details for the master and slave databases including enabling binary logging and setting the server IDs. The process involves taking a backup of the master database using Innobackupex, preparing the backup, and copying it to the slave database server. Replication is then started by configuring the master to replicate and the slave as a replica.
Maximum Overdrive: Tuning the Spark Cassandra Connector (Russell Spitzer, Dat...DataStax
Worried that you aren't taking full advantage of your Spark and Cassandra integration? Well worry no more! In this talk we'll take a deep dive into all of the available configuration options and see how they affect Cassandra and Spark performance. Concerned about throughput? Learn to adjust batching parameters and gain a boost in speed. Always running out of memory? We'll take a look at the various causes of OOM errors and how we can circumvent them. Want to take advantage of Cassandra's natural partitioning in Spark? Find out about the recent developments that let you perform shuffle-less joins on Cassandra-partitioned data! Come with your questions and problems and leave with answers and solutions!
About the Speaker
Russell Spitzer Software Engineer, DataStax
Russell Spitzer received a Ph.D in Bio-Informatics before finding his deep passion for distributed software. He found the perfect outlet for this passion at DataStax where he began on the Automation and Test Engineering team. He recently moved from finding bugs to making bugs as part of the Analytics team where he works on integration between Cassandra and Spark as well as other tools.
An introduction to_rac_system_test_planning_methodsAjith Narayanan
This document provides an overview and agenda for testing an Oracle Real Application Clusters (RAC) system. It outlines 10 tests to validate that the RAC system is installed and configured correctly, and to verify basic functionality and the system's ability to achieve high availability and performance objectives. The tests include planned node reboots, unplanned node failures, instance failures, and network failures. Metrics like failover time, recovery time, and downtime are proposed to measure success.
Oracle real application clusters system tests with demoAjith Narayanan
This document provides details on testing Oracle Real Application Clusters functionality through a series of tests. It begins with an introduction and agenda, then describes 10 tests to validate high availability features including planned and unplanned node/instance failures, network failures, and service failover. Expected results and measures of success are outlined for each test. Sample scripts are also provided.
The document provides instructions for setting up a Bacula backup system. It discusses installing Bacula and its components, configuring the director, storage daemon, and file daemon. It describes setting passwords, creating a backup pool and schedule, and configuring a client. Specific configuration files are edited to configure the director, storage daemon, file daemon, and set addresses, passwords and other settings. Commands are provided to start services, run backups and restores, and check configurations for errors. The goal is to have a working Bacula system that can back up and restore a client on a scheduled basis.
Christian Johannsen presents on evaluating Apache Cassandra as a cloud database. Cassandra is optimized for cloud infrastructure with features like transparent elasticity, scalability, high availability, easy data distribution and redundancy. It supports multiple data types, is easy to manage, low cost, supports multiple infrastructures and has security features. A demo of DataStax OpsCenter and Apache Spark on Cassandra is shown.
Speaker: Aaron Morton, Apache Cassandra Committer & Co-Founder/Principle Consultant at The Last Pickle Inc.
Video: http://www.youtube.com/watch?v=efI5fL8eEfo&list=PLqcm6qE9lgKLoYaakl3YwIWP4hmGsHm5e&index=23
From the microsecond your request hits an Apache Cassandra node there are many code paths, threads and machines involved in storing or fetching your data. This talk will step through the common operations and highlight the code responsible. Apache Cassandra solves many interesting problems to provide a scalable, distributed, fault tolerant database. Cluster wide operations track node membership, direct requests and implement consistency guarantees. At the node level, the Log Structured storage engine provides high performance reads and writes. All of this is implemented in a Java code base that has greatly matured over the past few years. This talk will step through read and write requests, automatic processes and manual maintenance tasks. I'll discuss the general approach to solving the problem and drill down to the code responsible for implementation. Existing Cassandra users, those wanting to contribute to the project and people interested in Dynamo based systems will all benefit from this tour of the code base.
This document provides instructions on how to access a MySQL database from a Java application using a SOA Gateway as a web service. It describes setting up the required software components, including MySQL, Java, Apache Axis2, and the SOA Gateway. It then demonstrates creating web services from the MySQL tables using the SOA Gateway, generating Java classes from the WSDLs, and writing Java code to call the web services to perform simple queries and display the results in a graphical user interface. Examples of simple single query code and more complex code using Swing components are provided.
How to Install MariaDB Server or MySQL Server on CentOS 7VCP Muthukrishna
This document provides instructions for installing MariaDB server on CentOS 7. It describes downloading and installing the mariadb-server and mariadb packages using yum. It then covers starting and enabling the mariadb daemon service, and checking its status. The final step is connecting to the server using the mysql command.
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.
The document outlines steps to configure networking, install DNS and DHCP services, set up an Apache web server with WordPress, and configure file sharing on Linux servers. Key steps include assigning IP addresses and configuring zones in DNS, setting up a DHCP pool to hand out IPs to VMs, installing Apache/MySQL/PHP to host a WordPress site, and using Samba to create shares with permissions for development and backup access. The configuration is tested using tools like dig and nslookup and access is verified from a Windows client.
This document provides an overview of Apache Cassandra and how to deploy it using Docker. It begins with an introduction to Docker fundamentals and the CAP theorem. It then covers Cassandra fundamentals, including its history, users, benefits like scalability and consistency options, and challenges. The document demonstrates writes and reads in Cassandra with different consistency levels. It also discusses data replication strategies and calculating consistency. Finally, it previews a demo of deploying Cassandra with Docker and lists additional resources.
Maximum Overdrive: Tuning the Spark Cassandra ConnectorRussell Spitzer
This document summarizes a presentation about tuning the Spark Cassandra Connector for optimal performance. It discusses various write tuning techniques like batching writes by partition key, sorting data within partitions, and adjusting batch sizes and concurrency levels. It also covers read tuning, noting the relationship between Spark and Cassandra partitions and how to avoid out of memory errors by changing the number of partitions. Maximizing read speed requires tuning Cassandra's paging behavior. The presentation encourages contributions to the open source Spark Cassandra Connector project.
This document provides guidance on performance tuning IBM Tivoli Directory Server for large user environments. It discusses establishing service level objectives and agreements, doing health checks of the directory, tools for assisting with DB2 tuning, important DB2 settings related to LDAP performance, adjusting table cardinality, and several scripts and tools for monitoring and tuning the directory server.
Plugin de monitorización generico para monitorizar mediante commandos del sistema el rendimiento de Raven DB. Para más información visité la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=606
Web Access Outlook monitoring plugin. The purpose of the plugin is to monitor the correct work of the Outlook Web Access application. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=574
Monitors the external connection through Outlook Anywhere (RPC over HTTP Proxy) to Exchange mailing system. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=571
Pandora FMS: Plugin Enterprise de ExchangePandora FMS
Se trata de un plugin que monitoriza el servidor de exchange 2007/2010 utilizando una serie de commandos del sistema y los programas ya instalados en el sistema. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=274
This plugin monitors the Microsoft Exchange Server 2007/2010 servers using a series of system commad and the software already installed on the system. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=274
Pandora FMS: Plugin de monitorización de cliente de ExchagePandora FMS
Este documento describe un plugin para Pandora FMS que permite monitorizar el correcto funcionamiento de un sistema de correo Exchange desde la perspectiva del cliente. El plugin usa Outlook para enviar correos periódicamente y verificar que llegan dentro de un tiempo determinado, midiendo la latencia o simplemente comprobando la llegada. Se explican los requisitos, parámetros, instalación y configuración de módulos para la monitorización.
Pandora FMS: Monitorización de Blackberry ExchangePandora FMS
Este plugin permite monitorizar el envio y recepción de correos de dispositivos BlackBerry utilizando el plugin de monitorización de Exchange. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=573
Pandora FMS: Plugin de Exchange ActivSyncPandora FMS
Este plugin monitoriza el estado de sincronización entre el dispositivo mobil y el servidor de exchange. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=572
This plugin monitores the state of synchronization between the mobile device and the exchange server. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=572
A Hyper-V Monitoring Plugin that allows you to control Hyper-V virtual architectures easily. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=587
Se trata de un plugin que monitoriza los correos recibidos del servidor de Imap, utilizando un filtrado de datos. Generalmente puede monitorizar los correos recibidos, capturar la información recibida y elegir diferente buzon de correos. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=555
A local plugin wich monitors PostgreSQL extracting information using an external configuration file and the software already installed on the system to monitor. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=552
Pandora FMS: Monitorización de servidores MySQLPandora FMS
Este plugin de agente gestiona todas las metricas de rendimiento proporcionadas por MySQL y algunas metricas del sistema, como estado de los servicios, CPU, RAM, espacio de disco libre en la partición de MySQL. Para más información visite la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=318
This document provides instructions for monitoring a MySQL database server on Unix using Pandora FMS. It discusses requirements, installation, configuration, and the types of metrics that can be monitored including system parameters, performance parameters, and monitoring via SQL. Configuration is done through an external file where module parameters are defined. Both numeric and text-based data can be monitored.
Open-source agent plugin designed for MongoDB monitoring, using the tool mongostat to collect performance statistics. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=en&action=view_PUI&id_PUI=319
This plugin allow you to monitor an Informix server. This is a local plugin, which uses Informix local tools to gather information. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=591
Pandora FMS: Plugin Enterprise de monitorización de servidor DB2Pandora FMS
Se trata de un plugin enterprise para monitorizar servidores DB2. Es capaz de comprobar el estado de la conexión a una instancia DB2 e informar al servidor de datos de pandora. Para más información puede visitar la siguiente pagina web: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=396
This is an enterprise plugin for DB2 monitoring. It is able to check the status of an instance connection and report it back to pandora. For more information visit the following webpage: http://pandorafms.com/index.php?sec=Library&sec2=repository&lng=es&action=view_PUI&id_PUI=396
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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2. Table of Contents
1. Introduction......................................................................................................................................3
2. Compatibility Matrix........................................................................................................................3
3. Modules generated by the plugin.....................................................................................................3
4. Requisites.........................................................................................................................................5
5. Specific Cassandra Configuration....................................................................................................6
6. File Configuration............................................................................................................................7
7. Plugin Execution..............................................................................................................................7
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3. 1. INTRODUCTION
The main objective of this document is the description of the CassandraDB database monitoring
procedures on Linux-based systems. We have chosen a set of “base” modules based on our
experience in system monitoring and on the needs of some of our clients.
To extract the information we use:
• The basic configuration files of CassandraDB: Installation of cqlsh client is required.
Correct version of Python must be installed. Cqlshlib is a necessary library for cqlsh.
• The general log files for Cassandra
• It uses the software already installed in the system (ps, gawk, grep, etc), for the monitoring
done by the plugin without having to install libraries or third party tools.
• It uses Nodetool to monitor the general performance of the database. Nodetool needs at
least version 7 of java to work correctly.
2. COMPATIBILITY MATRIX
The compatibility matrix for CassandraDB monitoring is:
Systems where it has been
tested
• CassandraDB v2.0.0
Systems where it should work • CassandraDB v2.0.0 or above
3. MODULES GENERATED BY THE PLUGIN
This plugin returns 32 modules by instance. All of them display valuable status information. You
can fix thresholds manually to determine whether something is in a warning/critical or operative
condition.
• Cassandra_Process: Displays information on the status of the cassandra process.
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4. • Cassandra_CPU_Usage: Displays the cpu use for the cassandra process in %.
• Cassandra_Memory_Use: Displays the memory use for the cassandra process in %.
• Cassandra_Error_Log_Messages: Displays the amount of error messages in the cassandra
log.
• Cassandra_Warning_Log_Messages: Displays the amount of warning messages in the
cassandra log.
• Cassandra_Network_Connections: Displays the amount of network connections by clients.
• Cassandra_Thrift_Server_Status: Displays the status of the thrift server.
• Cassandra_Cluster_Status : Displays the status of the main Cluster.
• Cassandra_Key_Cache_Size: Displays the size of the key cache in kbs.
• Cassandra_Active_Commands: Displays the amount of active commands or task being
executed.
• Cassandra_Pending_Commands: Displays the amount of pending commands.
• Cassandra_Completed_Commands: Displays the amount of completed commands.
• Cassandra_Active_Responses: Displays the amount of active responses to commands
executed by cassandra.
• Cassandra_Pending_Responses: Displays the amount of pending responses to commands.
• Cassandra_Completed_Responses: Displays the amount of completed responses to
commands.
• Cassandra_ReadStage_Pool_Pending_Tasks: Displays the amount of pending tasks for the
ReadStage pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_RequestResponseStage_Pool_Pending_Tasks: Displays the amount of pending
tasks for the RequestResponseStage pool. If the amount is very high it can influence badly
the performance of Cassandra.
• Cassandra_MutationStage_Pool_Pending_Tasks: Displays the amount of pending tasks for
the MutationStage pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_ReadRepairStage_Pool_Pending_Tasks: Displays the amount of pending tasks
for the ReadRepairStage pool. If the amount is very high it can influence badly the
performance of Cassandra.
• Cassandra_ReplicateOnWriteStage_Pool_Pending_Tasks: Displays the amount of pending
tasks for the ReplicateOnWriteStage pool. If the amount is very high it can influence badly
the performance of Cassandra.
• Cassandra_GossipStage_Pool_Pending_Tasks: Displays the amount of pending tasks for the
GossipStage pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_AntiEntropy_Pool_Pending_Tasks: Displays the amount of pending tasks for the
AntiEntropyStage pool. If the amount is very high it can influence badly the performance of
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5. Cassandra.
• Cassandra_MigrationStage_Pool_Pending_Tasks: Displays the amount of pending tasks for
the MigrationStage pool. If the amount is very high it can influence badly the performance
of Cassandra.
• Cassandra_MemoryMeter_Pool_Pending_Tasks: Displays the amount of pending tasks for
the MemoryMeter pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_MemtablePostFlusher_Pool_Pending_Tasks: Displays the amount of pending
tasks for the MemtablePostFlusher pool. If the amount is very high it can influence badly the
performance of Cassandra.
• Cassandra_FlushWriter_Pool_Pending_Tasks: Displays the amount of pending tasks for the
FlushWriter pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_MiscStage_Pool_Pending_Tasks: Displays the amount of pending tasks for the
MiscStage pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_PendingRangeCalculator_Pool_Pending_Tasks: Displays the amount of pending
tasks for the PendingRangeCalculator pool. If the amount is very high it can influence badly
the performance of Cassandra.
• Cassandra_ReplicateOnWriteStage_Pool_Pending_Tasks: Displays the amount of pending
tasks for the ReplicateOnWriteStage pool. If the amount is very high it can influence badly
the performance of Cassandra.
• Cassandra_Comitlog_archiver_Pool_Pending_Tasks: Displays the amount of pending tasks
for the Comitlog_archiver pool. If the amount is very high it can influence badly the
performance of Cassandra.
• Cassandra_InternalResponseStage_Pool_Pending_Tasks: Displays the amount of pending
tasks for the InternalResponseStage pool. If the amount is very high it can influence badly
the performance of Cassandra.
• Cassandra_HintedHandoff_Pool_Pending_Tasks: Displays the amount of pending tasks for
the HintedHandoff pool. If the amount is very high it can influence badly the performance of
Cassandra.
• Cassandra_Nodetool_Configuration: Detects if Nodetool is working properly. Normally
Nodetool connects to the port 7199. If there isn't any connection established with that port
then Nodetool isn't working correctly. A check of the java version if this module goes critical
is necessary.
4. REQUISITES
The CassandraDB monitoring is done basically getting data through the execution of commands in
the Operative System.
The requisites for this monitoring to work correctly are the followings:
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6. • Cassandra db must be installed.
• A local pandora agent must be installed.
• The Cassandra configuration files must be located in the following path:
/etc/cassandra/conf/
• The Cassandra log files must be located in the following path:
/var/log/cassandra/
5. SPECIFIC CASSANDRA CONFIGURATION
This plugin requieres some specific cassandra configuration. Normally when cassandra is set up this
is the normal configuration and setup that permits the correct management of the database.
First of all start by checking the java version. This plugin is based uppon nodetool to extract generic
data from the system. Nodetool needs version 7 of Java. To check the Java version open a terminal
and type:
java – version
Then it should show the following result:
java version "1.7.0_51"
OpenJDK Runtime Environment (rhel-2.4.4.1.el6_5-i386 u51-b02)
OpenJDK Client VM (build 24.45-b08, mixed mode, sharing)
If the version isn't the one from the example then you'd need to install the following one:
$ su -c "yum install java-1.7.0-openjdk"
The java-1.7.0-openjdk package contains just the Java Runtime Environment. If you want to
develop Java programs then install the java-1.7.0-openjdk-devel package.
It is asumed that cassandra was installed from the datastax repo. From version 1.1 of cassandra
cqlsh is installed alongside. There is a common error that can occure when trying to access
cassandra using cqlsh. Normally happens when the version of python doesn't include cqlshlib. This
error can occure even during the installation of cqlsh.
To check if the library cqlshlib is installed open a terminal and type the following:
pydoc modules | grep cqlshlib
If you don't have this library installed follow the next few steps to do so.
1. Download the setup.py file from the following url:
svn.apache.org/repos/asf/cassandra/trunk/pylib/setup.py
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7. To do so just open a terminal and type:
wget svn.apache.org/repos/asf/cassandra/trunk/pylib/setup.py
2. Download cqlshlib from the following url:
svn.apache.org/repos/asf/cassandra/trunk/pylib/cqlshlib/
To do so just open a teminal and type:
wget svn.apache.org/repos/asf/cassandra/trunk/pylib/cqlshlib/
3. Then type:
python setup.py install.
Once installed cassandra should work correctly.
6. FILE CONFIGURATION
In order to configure correctly this plugin there are a few steps that should be followed:
• Move the cassandra.sh file from the default download directory to the /etc/pandora/plugins/
directory:
Example of the command inside the default download directory:
mv cassandra.sh /etc/pandora/plugins/
• Assign necessary permitions to cassandra.sh script:
Example of the command inside the plugins directory:
chmod +x cassandra.sh
• At the end of the pandora_agent.conf file add the following line:
module_plugin /etc/pandora/plugins/cassandra.sh
• Restart the pandora agent process
7. PLUGIN EXECUTION
Once done with the installation process of the plugin 32 modules will be automatically created in
the agent where cassandra is running.
If everything is working fine you should be able to see the following image with all the modules
created.
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8. This is what the module view should look like once the modules obtain data.
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9. It is posible to see that the modules are being created but don't initialize.
In this case you'd need to check the Specific Cassandra Configuration.
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