The document discusses optimizations made to Infinispan to improve performance and consistency for a trading application at the Chicago Board Options Exchange (CBOE). Some key points include:
- Early adoption of Infinispan led to some performance and consistency issues that required troubleshooting logs, cache contents, and test applications.
- Optimizations focused on asynchronous communication, queue flushing, and separating state provider/consumer roles to balance performance and consistency across cache tiers.
- Log analysis was important for detecting issues like out-of-order operations between active and passive nodes. Configuration tweaks like increasing queue size also helped.
GPORCA is query optimizer used inside Greenplum database, the first open source MPP solution based on PostgreSQL.
These are slides presented at the PGConf Seattle 2017. It introduced the internals of GPORCA, and provide OSS developers context to contribute back to the project.
What do data center operators need to know when deploying Hadoop in the Data Center? Multi-tenancy, network topology, workload types, and myriad other factors affect the way applications run and perform in the data center. Understanding performance characteristics of the distributed system is key to not only optimize for Hadoop, but allows Hadoop to seamlessly operate side-by-side existing applications.
This is 101 introduction of GPORCA for Open Source developers. GPORCA is open source query optimizer for SQL on MPP (massive parallel processing) database system like Greenplum. You can find the overview of GPORCA, as well as how to debug and contribute back to OSS community.
GPORCA is query optimizer used inside Greenplum database, the first open source MPP solution based on PostgreSQL.
These are slides presented at the PGConf Seattle 2017. It introduced the internals of GPORCA, and provide OSS developers context to contribute back to the project.
What do data center operators need to know when deploying Hadoop in the Data Center? Multi-tenancy, network topology, workload types, and myriad other factors affect the way applications run and perform in the data center. Understanding performance characteristics of the distributed system is key to not only optimize for Hadoop, but allows Hadoop to seamlessly operate side-by-side existing applications.
This is 101 introduction of GPORCA for Open Source developers. GPORCA is open source query optimizer for SQL on MPP (massive parallel processing) database system like Greenplum. You can find the overview of GPORCA, as well as how to debug and contribute back to OSS community.
Bringing Engineering Analysis Codes Into Real-Time Full-Scope SimulatorsGSE Systems, Inc.
Presented at the 2013 Nuclear Simulation and Training China Forum in Beijing. For more information on GSE's real-time simulators and engineering capabilities, go to www.gses.com, follow GSE on Twitter @GSESystems and connect on Facebook.com/GSESystems
LAS16-TR04: Using tracing to tune and optimize EAS (English)Linaro
LAS16-TR04: Using tracing to tune and optimize EAS (English)
Speakers: Leo Yan
Date: September 28, 2016
★ Session Description ★
The Energy Aware Scheduler relies on a power model, rather than on heuristics, to make decisions and reduce power usage. As a result of this fact-based decision making EAS presents very few tunables and thus requires a significantly different approach to tuning and optimization when compared to the traditional tune/benchmark/repeat cycle. Tuning EAS has perhaps more similar to debugging: using trace tools such as ftrace, kernelshark and LISA, we can examine its decision making and look for ways to improve this decision making. This talk will offer a practical introduction to using these trace tools.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-tr04
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-tr04/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
How to Introduce Telemetry Streaming (gNMI) in Your Network with SNMP with Te...InfluxData
How to Introduce Telemetry Streaming (gNMI) in Your Network with SNMP with Telegraf
Network to Code, LLC is a network automation solution provider that helps companies transform the way their networks are deployed, managed, and consumed on a day-to-day basis by leveraging network automation, software development, and DevOps technologies and principles. They provide highly sought-after training and consulting services that integrate and deploy network automation technology solutions to improve reliability, security, efficiency, time to market, and customer satisfaction while reducing operational costs.
In this session Josh VanDeraa and David Flores from Network to Code will present how to monitor your network devices with Telegraf using both the SNMP and the gNMI input plugins. They will also present what the challenges are with ingesting the same type of data from different sources and how to remediate that by normalizing the data in Telegraf using processors.
Maximizing Database Tuning in SAP SQL AnywhereSAP Technology
This session illustrates the different tools available in SQL Anywhere to analyze performance issues, as well as describes the most common types of performance problems encountered by database developers and administrators. We also take a look at various tips and techniques that will help boost the performance of your SQL Anywhere database.
Cooperative Task Execution for Apache SparkDatabricks
Apache Spark has enabled a vast assortment of users to express batch, streaming, and machine learning computations, using a mixture of programming paradigms and interfaces. Lately, we observe that different jobs are often implemented as part of the same application to share application logic, state, or to interact with each other. Examples include online machine learning, real-time data transformation and serving, low-latency event monitoring and reporting. Although the recent addition of Structured Streaming to Spark provides the programming interface to enable such unified applications over bounded and unbounded data, the underlying execution engine was not designed to efficiently support jobs with different requirements (i.e., latency vs. throughput) as part of the same runtime. It therefore becomes particularly challenging to schedule such jobs to efficiently utilize the cluster resources while respecting their requirements in terms of task response times. Scheduling policies such as FAIR could alleviate the problem by prioritizing critical tasks, but the challenge remains, as there is no way to guarantee no queuing delays. Even though preemption by task killing could minimize queuing, it would also require task resubmission and loss of progress, leading to wasted cluster resources. In this talk, we present Neptune, a new cooperative task execution model for Spark with fine-grained control over resources such as CPU time. Neptune utilizes Scala coroutines as a lightweight mechanism to suspend task execution with sub-millisecond latency and introduces new scheduling policies that respect diverse task requirements while efficiently sharing the same runtime. Users can directly use Neptune for their continuous applications as it supports all existing DataFrame, DataSet, and RDD operators. We present an implementation of the execution model as part of Spark 2.4.0 and describe the observed performance benefits from running a number of streaming and machine learning workloads on an Azure cluster.
Speaker: Konstantinos Karanasos
Debugging Planning Issues Using Calcite's Built-in LoggersStamatis Zampetakis
Wrong results, high memory usage (OutOfMemoryError, GC pauses, etc), unresponsive server, infinite planning time, are some common issues that may arise when using Calcite and in general a query processor in production systems.
In this talk, we will demonstrate how we can exploit Calcite's built-in loggers (notably CALCITE-4704, and CALCITE-4991) to debug such issues through use-cases from Apache Hive.
How to use Impala query plan and profile to fix performance issuesCloudera, Inc.
Apache Impala is an exceptional, best-of-breed massively parallel processing SQL query engine that is a fundamental component of the big data software stack. Juan Yu demystifies the cost model Impala Planner uses and how Impala optimizes queries and explains how to identify performance bottleneck through query plan and profile and how to drive Impala to its full potential.
Bringing Engineering Analysis Codes Into Real-Time Full-Scope SimulatorsGSE Systems, Inc.
Presented at the 2013 Nuclear Simulation and Training China Forum in Beijing. For more information on GSE's real-time simulators and engineering capabilities, go to www.gses.com, follow GSE on Twitter @GSESystems and connect on Facebook.com/GSESystems
LAS16-TR04: Using tracing to tune and optimize EAS (English)Linaro
LAS16-TR04: Using tracing to tune and optimize EAS (English)
Speakers: Leo Yan
Date: September 28, 2016
★ Session Description ★
The Energy Aware Scheduler relies on a power model, rather than on heuristics, to make decisions and reduce power usage. As a result of this fact-based decision making EAS presents very few tunables and thus requires a significantly different approach to tuning and optimization when compared to the traditional tune/benchmark/repeat cycle. Tuning EAS has perhaps more similar to debugging: using trace tools such as ftrace, kernelshark and LISA, we can examine its decision making and look for ways to improve this decision making. This talk will offer a practical introduction to using these trace tools.
★ Resources ★
Etherpad: pad.linaro.org/p/las16-tr04
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-tr04/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
How to Introduce Telemetry Streaming (gNMI) in Your Network with SNMP with Te...InfluxData
How to Introduce Telemetry Streaming (gNMI) in Your Network with SNMP with Telegraf
Network to Code, LLC is a network automation solution provider that helps companies transform the way their networks are deployed, managed, and consumed on a day-to-day basis by leveraging network automation, software development, and DevOps technologies and principles. They provide highly sought-after training and consulting services that integrate and deploy network automation technology solutions to improve reliability, security, efficiency, time to market, and customer satisfaction while reducing operational costs.
In this session Josh VanDeraa and David Flores from Network to Code will present how to monitor your network devices with Telegraf using both the SNMP and the gNMI input plugins. They will also present what the challenges are with ingesting the same type of data from different sources and how to remediate that by normalizing the data in Telegraf using processors.
Maximizing Database Tuning in SAP SQL AnywhereSAP Technology
This session illustrates the different tools available in SQL Anywhere to analyze performance issues, as well as describes the most common types of performance problems encountered by database developers and administrators. We also take a look at various tips and techniques that will help boost the performance of your SQL Anywhere database.
Cooperative Task Execution for Apache SparkDatabricks
Apache Spark has enabled a vast assortment of users to express batch, streaming, and machine learning computations, using a mixture of programming paradigms and interfaces. Lately, we observe that different jobs are often implemented as part of the same application to share application logic, state, or to interact with each other. Examples include online machine learning, real-time data transformation and serving, low-latency event monitoring and reporting. Although the recent addition of Structured Streaming to Spark provides the programming interface to enable such unified applications over bounded and unbounded data, the underlying execution engine was not designed to efficiently support jobs with different requirements (i.e., latency vs. throughput) as part of the same runtime. It therefore becomes particularly challenging to schedule such jobs to efficiently utilize the cluster resources while respecting their requirements in terms of task response times. Scheduling policies such as FAIR could alleviate the problem by prioritizing critical tasks, but the challenge remains, as there is no way to guarantee no queuing delays. Even though preemption by task killing could minimize queuing, it would also require task resubmission and loss of progress, leading to wasted cluster resources. In this talk, we present Neptune, a new cooperative task execution model for Spark with fine-grained control over resources such as CPU time. Neptune utilizes Scala coroutines as a lightweight mechanism to suspend task execution with sub-millisecond latency and introduces new scheduling policies that respect diverse task requirements while efficiently sharing the same runtime. Users can directly use Neptune for their continuous applications as it supports all existing DataFrame, DataSet, and RDD operators. We present an implementation of the execution model as part of Spark 2.4.0 and describe the observed performance benefits from running a number of streaming and machine learning workloads on an Azure cluster.
Speaker: Konstantinos Karanasos
Debugging Planning Issues Using Calcite's Built-in LoggersStamatis Zampetakis
Wrong results, high memory usage (OutOfMemoryError, GC pauses, etc), unresponsive server, infinite planning time, are some common issues that may arise when using Calcite and in general a query processor in production systems.
In this talk, we will demonstrate how we can exploit Calcite's built-in loggers (notably CALCITE-4704, and CALCITE-4991) to debug such issues through use-cases from Apache Hive.
How to use Impala query plan and profile to fix performance issuesCloudera, Inc.
Apache Impala is an exceptional, best-of-breed massively parallel processing SQL query engine that is a fundamental component of the big data software stack. Juan Yu demystifies the cost model Impala Planner uses and how Impala optimizes queries and explains how to identify performance bottleneck through query plan and profile and how to drive Impala to its full potential.
Adaptive Query Execution: Speeding Up Spark SQL at RuntimeDatabricks
Over the years, there has been extensive and continuous effort on improving Spark SQL’s query optimizer and planner, in order to generate high quality query execution plans. One of the biggest improvements is the cost-based optimization framework that collects and leverages a variety of data statistics (e.g., row count, number of distinct values, NULL values, max/min values, etc.) to help Spark make better decisions in picking the most optimal query plan.
Reproducible Computational Pipelines with Docker and Nextflowinside-BigData.com
Paolo Di Tommaso from the Center for Genomic Regulation presented this talk at the Switzerland HPC Conference.
"Research computational workflows consist of several pieces of third party software and, because of their experimental nature, frequent changes and updates are commonly necessary thus raising serious deployment and reproducibility issues. Docker containers are emerging as a possible solution for many of these problems, as they allow the packaging of pipelines in an isolated and self-contained manner. This presentation will introduce our experience deploying genomic pipelines with Docker containers at the Center for Genomic Regulation (CRG). I will discuss how we implemented it, the main issues we faced, the pros and cons of using Docker in an HPC environment including a benchmark of the impact of containers technology on the performance of the executed applications."
Watch the video presentation: https://www.youtube.com/watch?v=Doo9H2-gBAk
See more talks in the Swiss Conference Video Gallery: http://insidehpc.com/2016-swiss-hpc-conference/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Storage Benchmarks - Voodoo oder Wissenschaft? – data://disrupted® 2020data://disrupted®
Das neue Storage ist geliefert und betriebsbereit, und das erste was der Storage-Admin macht, ist ein dd. Mehr oder weniger zufrieden schaut er dann auf den Durchsatz und freut sich, dass der Einkauf dieses Mal was ordentliches gekauft hat. Oder auch nicht. Der Vortrag erläutert, weshalb es so schwierig ist, aussagekräftige Storage-Benchmarks zu fahren und geht kurz auf verschiedene Benchmarking-Tools ein. Im zweiten Teil des Vortrags gehe ich etwas genauer auf die Internas des SPC-1-Benchmarks des Storage Performance Council ein, und zeige, wie sinnvoll oder weniger sinnvoll es ist, sich bei der Beschaffung auf vermeintlich objektive Performance-Messungen zu verlassen.
Wolfgang Stief ist seit Mitte der 1990er Jahre als Dipl.-Ing. in der IT-Branche tätig. Nach vielen Jahren in Support und Presales bei einem Sun-Partner startete er 2011 in die Selbständigkeit. Als Technologieberater und Erklärbär ist er freiberuflich tätig im technischen Marketing mit einem Fokus auf Enterprise Storage, und arbeitet redaktionell für storage-forum.de. Daneben ist er aktiv im Unternehmensvorstand der sys4 AG und beschäftigt sich mit der Historie längst verglühter aber nicht vergessener IT-Konzerne.
Real-Time Health Score Application using Apache Spark on KubernetesDatabricks
This talk presents the web application that calculates real-time health scores at a very rapid speed using Spark on Kubernates. A health score represents a machine’s lifetime and it is commonly used as a landmark for making a decision on whether to replace the machine with new one for high productivity maintenance. Therefore, it is very important to observe the health scores of the large number of machines in a factory without a delay. To cope with this issue, the BISTel has applied the stream processing using Spark and services the real-time health score application.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
