This document summarizes the results of benchmark tests performed on Amazon RDS instances with varying configurations. The tests measured MySQL database performance using mysqlslap under different levels of concurrency and across small, large, xlarge, 2xlarge, and 4xlarge EC2 instance types with a standardized 100GB EBS volume. The results show that increasing the instance type size improves database performance more significantly than increasing the EBS volume size. Larger instances are less impacted by contention on shared hardware resources.
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) ...Amazon Web Services
Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications. In January 2012, Amazon launched DynamoDB, a cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance, and manageability needed to run mission-critical workloads. This session discloses for the first time the underpinnings of DynamoDB, and how we run a fully managed nonrelational database used by more than 100,000 customers. We cover the underlying technical aspects of how an application works with DynamoDB for authentication, metadata, storage nodes, streams, backup, and global replication.
This is the presentation I made on JavaDay Kiev 2015 regarding the architecture of Apache Spark. It covers the memory model, the shuffle implementations, data frames and some other high-level staff and can be used as an introduction to Apache Spark
Spencer Christensen
There are many aspects to managing an RDBMS. Some of these are handled by an experienced DBA, but there are a good many things that any sys admin should be able to take care of if they know what to look for.
This presentation will cover basics of managing Postgres, including creating database clusters, overview of configuration, and logging. We will also look at tools to help monitor Postgres and keep an eye on what is going on. Some of the tools we will review are:
* pgtop
* pg_top
* pgfouine
* check_postgres.pl.
Check_postgres.pl is a great tool that can plug into your Nagios or Cacti monitoring systems, giving you even better visibility into your databases.
Amazon DynamoDB Under the Hood: How We Built a Hyper-Scale Database (DAT321) ...Amazon Web Services
Come to this session to learn how Amazon DynamoDB was built as the hyper-scale database for internet-scale applications. In January 2012, Amazon launched DynamoDB, a cloud-based NoSQL database service designed from the ground up to support extreme scale, with the security, availability, performance, and manageability needed to run mission-critical workloads. This session discloses for the first time the underpinnings of DynamoDB, and how we run a fully managed nonrelational database used by more than 100,000 customers. We cover the underlying technical aspects of how an application works with DynamoDB for authentication, metadata, storage nodes, streams, backup, and global replication.
This is the presentation I made on JavaDay Kiev 2015 regarding the architecture of Apache Spark. It covers the memory model, the shuffle implementations, data frames and some other high-level staff and can be used as an introduction to Apache Spark
Spark 의 핵심은 무엇인가? RDD! (RDD paper review)Yongho Ha
요즘 Hadoop 보다 더 뜨고 있는 Spark.
그 Spark의 핵심을 이해하기 위해서는 핵심 자료구조인 Resilient Distributed Datasets (RDD)를 이해하는 것이 필요합니다.
RDD가 어떻게 동작하는지, 원 논문을 리뷰하며 살펴보도록 합시다.
http://www.cs.berkeley.edu/~matei/papers/2012/sigmod_shark_demo.pdf
Salvatore Sanfilippo – How Redis Cluster works, and why - NoSQL matters Barce...NoSQLmatters
Salvatore Sanfilippo – How Redis Cluster works, and why
In this talk the algorithmic details of Redis Cluster will be exposed in order to show what were the design tensions in the clustered version of an high performance database supporting complex data type, the selected tradeoffs, and their effect on the availability and consistency of the resulting solution.Other non-chosen solutions in the design space will be illustrated for completeness.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
The presentation begins with an overview of the growth of non-structured data and the benefits NoSQL products provide. It then provides an evaluation of the more popular NoSQL products on the market including MongoDB, Cassandra, Neo4J, and Redis. With NoSQL architectures becoming an increasingly appealing database management option for many organizations, this presentation will help you effectively evaluate the most popular NoSQL offerings and determine which one best meets your business needs.
RDS Postgres and Aurora Postgres | AWS Public Sector Summit 2017Amazon Web Services
Attend this session for a technical deep dive about RDS Postgres and Aurora Postgres. Come hear from Mark Porter, the General Manager of Aurora PostgreSQL and RDS at AWS, as he covers service specific use cases and applications within the AWS worldwide public sector community. Learn More: https://aws.amazon.com/government-education/
Meta/Facebook's database serving social workloads is running on top of MyRocks (MySQL on RocksDB). This means our performance and reliability depends a lot on RocksDB. Not just MyRocks, but also we have other important systems running on top of RocksDB. We have learned many lessons from operating and debugging RocksDB at scale.
In this session, we will offer an overview of RocksDB, key differences from InnoDB, and share a few interesting lessons learned from production.
Provides an overview of Redis which is a Key Value NoSQL database and the different data types it supports. Also shows how to use Redis Client API from node.
Apache Spark is a In Memory Data Processing Solution that can work with existing data source like HDFS and can make use of your existing computation infrastructure like YARN/Mesos etc. This talk will cover a basic introduction of Apache Spark with its various components like MLib, Shark, GrpahX and with few examples.
AWS Webcast - Cost and Performance Optimization in Amazon RDSAmazon Web Services
Amazon RDS makes it easy to set up, operate, and scale relational databases in the cloud. The service offers a variety of options for optimizing the performance level delivered, as well as optimizing your spending. In this webinar, we will show a variety of techniques for implementing the right performance level for your application.
Learning Objectives:
• Understand the Amazon RDS options that change database performance and cost
• Select the appropriate performance and cost level for your specific application Who Should Attend:
• Technical Amazon RDS customers and prospective customers
Amazon RDS for Performance-Intensive Production Applications (DAT301) | AWS r...Amazon Web Services
Learn how to take advantage of Amazon RDS to run highly-available and performance-intensive production applications on AWS. We show you what you can do to achieve the highest levels of availability and performance for your relational databases. You learn how easy it is to architect for these requirements using several Amazon RDS features, such as Multi-AZ deployments, read replicas, and Provisioned IOPS storage. In addition, you learn how to quickly architect for the level of disaster recovery required by your business. Finally, some of our customers share how they built very high performing web and enterprise applications on Amazon RDS.
Spark 의 핵심은 무엇인가? RDD! (RDD paper review)Yongho Ha
요즘 Hadoop 보다 더 뜨고 있는 Spark.
그 Spark의 핵심을 이해하기 위해서는 핵심 자료구조인 Resilient Distributed Datasets (RDD)를 이해하는 것이 필요합니다.
RDD가 어떻게 동작하는지, 원 논문을 리뷰하며 살펴보도록 합시다.
http://www.cs.berkeley.edu/~matei/papers/2012/sigmod_shark_demo.pdf
Salvatore Sanfilippo – How Redis Cluster works, and why - NoSQL matters Barce...NoSQLmatters
Salvatore Sanfilippo – How Redis Cluster works, and why
In this talk the algorithmic details of Redis Cluster will be exposed in order to show what were the design tensions in the clustered version of an high performance database supporting complex data type, the selected tradeoffs, and their effect on the availability and consistency of the resulting solution.Other non-chosen solutions in the design space will be illustrated for completeness.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
Intro to MongoDB
Get a jumpstart on MongoDB, use cases, and next steps for building your first app with Buzz Moschetti, MongoDB Enterprise Architect.
@BuzzMoschetti
The presentation begins with an overview of the growth of non-structured data and the benefits NoSQL products provide. It then provides an evaluation of the more popular NoSQL products on the market including MongoDB, Cassandra, Neo4J, and Redis. With NoSQL architectures becoming an increasingly appealing database management option for many organizations, this presentation will help you effectively evaluate the most popular NoSQL offerings and determine which one best meets your business needs.
RDS Postgres and Aurora Postgres | AWS Public Sector Summit 2017Amazon Web Services
Attend this session for a technical deep dive about RDS Postgres and Aurora Postgres. Come hear from Mark Porter, the General Manager of Aurora PostgreSQL and RDS at AWS, as he covers service specific use cases and applications within the AWS worldwide public sector community. Learn More: https://aws.amazon.com/government-education/
Meta/Facebook's database serving social workloads is running on top of MyRocks (MySQL on RocksDB). This means our performance and reliability depends a lot on RocksDB. Not just MyRocks, but also we have other important systems running on top of RocksDB. We have learned many lessons from operating and debugging RocksDB at scale.
In this session, we will offer an overview of RocksDB, key differences from InnoDB, and share a few interesting lessons learned from production.
Provides an overview of Redis which is a Key Value NoSQL database and the different data types it supports. Also shows how to use Redis Client API from node.
Apache Spark is a In Memory Data Processing Solution that can work with existing data source like HDFS and can make use of your existing computation infrastructure like YARN/Mesos etc. This talk will cover a basic introduction of Apache Spark with its various components like MLib, Shark, GrpahX and with few examples.
AWS Webcast - Cost and Performance Optimization in Amazon RDSAmazon Web Services
Amazon RDS makes it easy to set up, operate, and scale relational databases in the cloud. The service offers a variety of options for optimizing the performance level delivered, as well as optimizing your spending. In this webinar, we will show a variety of techniques for implementing the right performance level for your application.
Learning Objectives:
• Understand the Amazon RDS options that change database performance and cost
• Select the appropriate performance and cost level for your specific application Who Should Attend:
• Technical Amazon RDS customers and prospective customers
Amazon RDS for Performance-Intensive Production Applications (DAT301) | AWS r...Amazon Web Services
Learn how to take advantage of Amazon RDS to run highly-available and performance-intensive production applications on AWS. We show you what you can do to achieve the highest levels of availability and performance for your relational databases. You learn how easy it is to architect for these requirements using several Amazon RDS features, such as Multi-AZ deployments, read replicas, and Provisioned IOPS storage. In addition, you learn how to quickly architect for the level of disaster recovery required by your business. Finally, some of our customers share how they built very high performing web and enterprise applications on Amazon RDS.
AWS Webcast - Amazon RDS for MySQL: Best Practices for Performance and Data M...Amazon Web Services
In this webinar, you will learn about running web applications that require up to tens of thousands of IOPS using Amazon RDS for MySQL. Also, learn how to scale up the performance of your databases as demand for your application increases. In addition, understand the best practices to import data from your on-premises/Amazon EC2 instances to Amazon RDS for MySQL and vice-versa. Lastly, learn more about the latest on MySQL 5.6 features.
The Biggest Internet of Things Milestones NeuraInc
The future of Internet of Things is here to make our lives as seamless, as de-cluttered as machine-ly possible. We at Neura take you back in time and give you a little history around the much-talked-about Internet of Things.
Back in 1999, Kevin Ashton, cofounder of Auto-ID Center at MIT, first coined the phrase “Internet of Things” in his presentation about Radio-Frequency Identification (RFID) at PG&E. Fast-forward 16 years and you’ll see the impact interconnectivity of devices has on our lives.
In this general session, AWS IoT experts will present an in-depth look at the current state of the Internet of Things. Learn about trends and industry use cases. Hear how other organizations are using AWS IoT to connect devices to the cloud. Explore some of the most recent IoT announcements as we kick off the IoT re:Source Mini Con.
Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.
(DAT303) Oracle on AWS and Amazon RDS: Secure, Fast, and ScalableAmazon Web Services
AWS and Amazon RDS provide advanced features and architectures that enable graceful migration, high performance, elastic scaling, and high availability for Oracle database workloads. Learn best practices for realizing the benefits of the cloud while reducing costs, by running Oracle on AWS in a variety of single- and multi-instance topologies. This session teaches you to take advantage of features unique to AWS and Amazon RDS to free your databases from the confines of the conventional data center.
AWS has a number of services that help enterprise customers deploy solutions that meet high performance, security, and reliability requirements. SQL Server is no exception. In this session, we will explore the different options that exist today to help enterprises meet those types of requirements. Another key capability in AWS is flexibility. Multiple options exist for how enterprises can deploy SQL Server in AWS. We will talk in detail about how to choose between a managed database model like Relational Database Service (RDS) or core compute model like Elastic Compute Cloud (EC2). Finally, we’ll wrap up with an exploration of different operational aspects of SQL Server in AWS.
Best Practices for running the Oracle Database on EC2 webinarTom Laszewski
Best practices for running the Oracle Database on EC2 including storage, security, networking, EC2, deployment, deployment, management, and monitoring.
February 2016 Webinar Series - Introduction to AWS Database Migration ServiceAmazon Web Services
AWS Database Migration Service helps you migrate databases to AWS easily and securely with minimal downtime to the source database. AWS Database Migration Service can be used for both homogeneous and heterogeneous database migrations from on-premise to RDS or EC2 as well as EC2 to RDS.
In this webinar, we will provide an introduction to AWS Database Migration Service and go through the details of how you can use it today for your database migration projects. We will also discuss AWS Schema Conversion Tool that help you convert your database schema and code for cross database (heterogeneous) migrations.
Learning Objectives:
Understand what is AWS Database Migration Service
Learn how to start using AWS Database Migration Service
Understand homogenous and heterogeneous migrations
Learn about AWS Schema Conversions Tool
Who Should Attend:
IT Managers, DBAs, Solution Architects, Engineers and Developers
AWS Summit Stockholm 2014 – B5 – The TCO of cloud applicationsAmazon Web Services
Weighing the financial considerations of owning and operating a data center facility versus employing a cloud infrastructure requires detailed and careful analysis. In practice, it is not as simple as just measuring potential hardware expense alongside utility pricing for compute and storage resources. The Total Cost of Ownership (TCO) is often the financial metric used to estimate and compare direct and indirect costs of a product or a service. Given the large differences between the two models, it is challenging to perform accurate apples-to-apples cost comparisons between on-premises data centers and cloud infrastructure that is offered as a service. In this session, we explain the economic benefits of deploying applications in AWS over deploying equivalent applications hosted in an on-premises environment.
Amazon EC2 changes the economics of computing and provides you with complete control of your computing resources. It is designed to make web-scale cloud computing easier for developers. In this session, we will take you on a journey, starting with the basics of key management and security groups and ending with an explanation of Auto Scaling and how you can use it to match capacity and costs to demand using dynamic policies. We will also discuss tools and best practices that will help you build failure resilient applications that take advantage of the scale and robustness of AWS regions.
Weighing the financial considerations of owning and operating a data center facility versus employing a cloud infrastructure requires detailed and careful analysis. In practice, it is not as simple as just measuring potential hardware expense alongside utility pricing for compute and storage resources. The Total Cost of Ownership (TCO) is often the financial metric used to estimate and compare direct and indirect costs of a product or a service. Given the large differences between the two models, it is challenging to perform accurate apples-to-apples cost comparisons between on-premises data centers and cloud infrastructure that is offered as a service. In this session, we explain the economic benefits of deploying applications in AWS over deploying equivalent applications hosted in an on-premises environment.
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Maximizing EC2 and Elastic Block Store Disk Performance (STG302) | AWS re:Inv...Amazon Web Services
Learn tips and techniques that will improve the performance of your applications and databases running on EC2 instance storage and/or Elastic Block Store. This advanced session discusses when to use HI1, HS1, and EBS. It shares an under the hood view on how to tune the performance of Elastic Block Store. The presenter(s) will share best practices on running workloads on EBS such as relational databases (MySQL, Oracle, SQL Server, postgres) and NoSQL data stores such as MongoDB and Riak.
Deep Dive on Amazon EC2 Instances - January 2017 AWS Online Tech TalksAmazon Web Services
Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We will also provide an overview of the newest instances announced at re:Invent, including the latest generation of Memory and Compute Optimized Instances R4 and C5 instances, new Storage Optimized High I/O I3 instances, and new larger T2 instances. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.
Learning Objectives:
• Get an overview of the EC2 instance platform, key platform features, and the concept of instance generations
• Learn about the latest generation of Amazon EC2 Instances
• Learn best practices around instance selection to optimize performance
Joint Amazon (Mike Culver) and Oracle (Pieter Humphrey) presentation.
Why call IT when you need a development server these days – they take forever! Rent a virtual machine instead! In this session, you'll learn how the cloud is introducing a new model for Fusion Middleware development environment provisioning, as well as an alternative deployment model for the enterprise. We'll examine the methodology behind the construction of rea.oracle.com on EC2, and the hands on lab development environment used for OTN’s Virtual Developer Day.
Have you heard that all in-memory databases are equally fast but unreliable, inconsistent and expensive? This session highlights in-memory technology that busts all those myths.
Redis, the fastest database on the planet, is not a simply in-memory key-value data-store; but rather a rich in-memory data-structure engine that serves the world’s most popular apps. Redis Labs’ unique clustering technology enables Redis to be highly reliable, keeping every data byte intact despite hundreds of cloud instance failures and dozens of complete data-center outages. It delivers full CP system characteristics at high performance. And with the latest Redis on Flash technology, Redis Labs achieves close to in-memory performance at 70% lower operational costs. Learn about the best uses of in-memory computing to accelerate everyday applications such as high volume transactions, real time analytics, IoT data ingestion and more.
Similar to AWS RDS Benchmark - Instance comparison (20)
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
"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.
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.
7. Test Setup
• MySQL
• Two data sets:
• Increase instance size
• Increase EBS size
• Different days and periods
• 5.5.20
• max_connections parameter
8. Test Setup
• Ubuntu 12.04 LTS AMI Ubuntu 12.04 LTS
AMI ami-a29943cb
• mysqlslap from Ubuntu MySQL repository
• EC2 High-CPU Medium c1.medium
• Disk I/O bound:
✓ insert and commit
18. Guerrilla Capacity
planning
N
C(N ) =
1 + ↵(N 1) + N (N 1)
• Universal Scalability Law (USL)
• http://www.perfdynamics.com/Manifesto/USLscalability.html
• Guerrilla Mantra 1.16: Data are not divine. Data comes from
the Devil, only models come from God.
• Guerrilla Mantra 2.25: All measurements are wrong by
definition.
• R using nls() http://www.perfdynamics.com/Classes/Materials/USLcalc.r
25. N Max X Max
small 59.48 1660.29
large 88.46 3859.50
xlarge 134.40 6068.01
2xlarge 204.00 7228.87
4xlarge 217.55 8172.99
26. N Max X Max N X
small 59.48 1660.29 1.00 1.00
large 88.46 3859.50 1.49 2.32
xlarge 134.40 6068.01 2.26 3.65
2xlarge 204.00 7228.87 3.43 4.35
4xlarge 217.55 8172.99 3.66 4.92
38. EC2 Price/
Compute Memory α N Max X Max
Unit
Hour
small 1.0 1.0 1.00 1.00 1.00 1.0
large 4.0 4.4 0.99 1.49 2.32 4.0
xlarge 8.0 8.8 0.79 2.26 3.65 7.9
2xlarge 13.0 20.0 0.68 3.43 4.35 11.1
4xlarge 26.0 40.0 0.61 3.66 4.92 22.3
39. Conclusion
• EBS size has no effect on I/O performance
• Small instances are more affected by other
instances on the same server
• Larger instances have a greater share of the
physical resources, more network
throughput translates to more EBS I/O
40. Conclusion
• More instances on the same server, more
concurrency. α increases
• Small decrease in α increases the
throughput by a large amount
• EBS are not created equal