This document discusses how to ensure Presto scalability in multi-use case environments. It describes how Treasure Data uses Prestobase Proxy, a Finagle-based RPC proxy, to provide a scalable interface for BI tools. It also discusses Presto's node scheduler for distributing query stages across nodes and Treasure Data's use of resource groups to limit resource usage and isolate queries. The document advocates for approaches like dependency injection, VCR testing, and multi-dimensional resource scheduling to make Presto and its components reliable in distributed systems.
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Lessons learned while taking Presto from alpha to production at Twitter. Presented at the Presto meetup at Facebook on 2015.03.22.
Video: https://www.facebook.com/prestodb/videos/531276353732033/
Bullet is an open sourced, lightweight, pluggable querying system for streaming data without a persistence layer implemented on top of Storm. It allows you to filter, project, and aggregate on data in transit. It includes a UI and WS. Instead of running queries on a finite set of data that arrived and was persisted or running a static query defined at the startup of the stream, our queries can be executed against an arbitrary set of data arriving after the query is submitted. In other words, it is a look-forward system.
Bullet is a multi-tenant system that scales independently of the data consumed and the number of simultaneous queries. Bullet is pluggable into any streaming data source. It can be configured to read from systems such as Storm, Kafka, Spark, Flume, etc. Bullet leverages Sketches to perform its aggregate operations such as distinct, count distinct, sum, count, min, max, and average.
An instance of Bullet is currently running at Yahoo against its user engagement data pipeline. We’ll highlight how it is powering internal use-cases such as web page and native app instrumentation validation. Finally, we’ll show a demo of Bullet and go over query performance numbers.
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
Presto @ Treasure Data - Presto Meetup Boston 2015Taro L. Saito
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
Presto, an open source distributed SQL engine originally built at Facebook, has a rapidly growing community of developers and users. In this talk, speakers from both Facebook and Teradata, will discuss technical details of some of the recent developments such as integration with Hadoop ecosystem (YARN/Slider and Ambari), security features (Kerberos), enabling BI tools via JDBC/ODBC drivers, new connectors (Redis, MongoDB) and storage engines (Raptor) as well as improvements in performance and ANSI SQL coverage. In addition, we will present a few use cases and major new users that leverage interactive SQL capabilities Presto offers. Finally, we will present our roadmap for the next year.
See the video at https://youtu.be/wMy3LXuTb0U
Hoodie: How (And Why) We built an analytical datastore on SparkVinoth Chandar
Exploring a specific problem of ingesting petabytes of data in Uber and why they ended up building an analytical datastore from scratch using Spark. Then, discuss design choices and implementation approaches in building Hoodie to provide near-real-time data ingestion and querying using Spark and HDFS.
https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/
Big Data Camp LA 2014 - Apache Tajo: A Big Data Warehouse System on HadoopGruter
Apache Tajo is an open source big data warehouse system on Hadoop. This slide is a presentation material used in Big Data Camp LA 2014. This slide shows an introduction to Apache Tajo and the current status of the project. The current status includes cost-based optimization and the current supported SQL feature set.
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Matt Fuller
Teradata has been hard at work on Presto, and we want to share with you what we've done so far and our roadmap going forward. From presto-admin, a tool for installing and administering Presto, to YARN/Ambari support, to fully certified JDBC and ODBC drivers, we are committed to making Presto the best, most enterprise-ready SQL-on Hadoop solution out there.
Natural Language Query and Conversational Interface to Apache SparkDatabricks
Apache Spark has been a great technology for processing and analyzing Big Data. However, it is not accessible to business users, who don’t have technical or programming skills. In this talk, I’ll talk about recent efforts in the space of “Conversational analytics”. This paradigm allows any user to ask text and voice questions, in natural language, of their data to a bot and receive back a natural language and visual result. A key technology is natural language to SQL translation, where we translate natural language queries from a user into Spark SQL queries that can go against a Databricks system, and that can be easily trained on different schemas and databases.
This NLP technology needs to be further combined with dialog management, natural-language generation/narration, data understanding and modeling, augmented analytics and automated visualization generation in order to achieve the goal of “Conversational Analytics”. Using such a technology, a user can ask, in plain English, “How many cases of Covid were there in the last 2 months in states that had no social distancing mandates by type of transmission”, and then dig deeper into the results in a conversational manner to uncover hidden insights from Covid datasets in a Spark instance. We believe that having access to such data and insights at their fingertips can help users make appropriate decisions quickly, improve data literacy and even overcome the scourge of fake news for the general public.
HBaseCon 2012 | HBase for the Worlds Libraries - OCLCCloudera, Inc.
WorldCat is the world’s largest network of library content and services. Over 25,000 libraries in 170 countries have cooperated for 40 years to build WorldCat. OCLC is currently in the process of transitioning Worldcat from Oracle to Apache HBase. This session will discuss our data design for representing the constantly changing ownership information for thousands of libraries (billions of data points, millions of daily updates) and our plans for how we’re managing HBase in an environment that is equal parts end user facing and batch.
Bypassing Web Application Firewalls and other security filtersNetsparker
These slides were used for the live demo, Netsparker's security researcher Sven Morgenroth gave during episode 526 of Paul's Security Weekly.
During the live demo Sven shows how to bypass web application firewalls and highlight the importance of fixing vulnerabilities in web applications, regardless of how many layers of security you have protecting your web application.
Watch the live demo at the following URL: https://www.netsparker.com/blog/web-security/live-demo-web-application-firewall-bypass/
Bullet is an open sourced, lightweight, pluggable querying system for streaming data without a persistence layer implemented on top of Storm. It allows you to filter, project, and aggregate on data in transit. It includes a UI and WS. Instead of running queries on a finite set of data that arrived and was persisted or running a static query defined at the startup of the stream, our queries can be executed against an arbitrary set of data arriving after the query is submitted. In other words, it is a look-forward system.
Bullet is a multi-tenant system that scales independently of the data consumed and the number of simultaneous queries. Bullet is pluggable into any streaming data source. It can be configured to read from systems such as Storm, Kafka, Spark, Flume, etc. Bullet leverages Sketches to perform its aggregate operations such as distinct, count distinct, sum, count, min, max, and average.
An instance of Bullet is currently running at Yahoo against its user engagement data pipeline. We’ll highlight how it is powering internal use-cases such as web page and native app instrumentation validation. Finally, we’ll show a demo of Bullet and go over query performance numbers.
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.
Presto @ Treasure Data - Presto Meetup Boston 2015Taro L. Saito
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
Presto, an open source distributed SQL engine originally built at Facebook, has a rapidly growing community of developers and users. In this talk, speakers from both Facebook and Teradata, will discuss technical details of some of the recent developments such as integration with Hadoop ecosystem (YARN/Slider and Ambari), security features (Kerberos), enabling BI tools via JDBC/ODBC drivers, new connectors (Redis, MongoDB) and storage engines (Raptor) as well as improvements in performance and ANSI SQL coverage. In addition, we will present a few use cases and major new users that leverage interactive SQL capabilities Presto offers. Finally, we will present our roadmap for the next year.
See the video at https://youtu.be/wMy3LXuTb0U
Hoodie: How (And Why) We built an analytical datastore on SparkVinoth Chandar
Exploring a specific problem of ingesting petabytes of data in Uber and why they ended up building an analytical datastore from scratch using Spark. Then, discuss design choices and implementation approaches in building Hoodie to provide near-real-time data ingestion and querying using Spark and HDFS.
https://spark-summit.org/2017/events/incremental-processing-on-large-analytical-datasets/
Big Data Camp LA 2014 - Apache Tajo: A Big Data Warehouse System on HadoopGruter
Apache Tajo is an open source big data warehouse system on Hadoop. This slide is a presentation material used in Big Data Camp LA 2014. This slide shows an introduction to Apache Tajo and the current status of the project. The current status includes cost-based optimization and the current supported SQL feature set.
Hello, Enterprise! Meet Presto. (Presto Boston Meetup 10062015)Matt Fuller
Teradata has been hard at work on Presto, and we want to share with you what we've done so far and our roadmap going forward. From presto-admin, a tool for installing and administering Presto, to YARN/Ambari support, to fully certified JDBC and ODBC drivers, we are committed to making Presto the best, most enterprise-ready SQL-on Hadoop solution out there.
Natural Language Query and Conversational Interface to Apache SparkDatabricks
Apache Spark has been a great technology for processing and analyzing Big Data. However, it is not accessible to business users, who don’t have technical or programming skills. In this talk, I’ll talk about recent efforts in the space of “Conversational analytics”. This paradigm allows any user to ask text and voice questions, in natural language, of their data to a bot and receive back a natural language and visual result. A key technology is natural language to SQL translation, where we translate natural language queries from a user into Spark SQL queries that can go against a Databricks system, and that can be easily trained on different schemas and databases.
This NLP technology needs to be further combined with dialog management, natural-language generation/narration, data understanding and modeling, augmented analytics and automated visualization generation in order to achieve the goal of “Conversational Analytics”. Using such a technology, a user can ask, in plain English, “How many cases of Covid were there in the last 2 months in states that had no social distancing mandates by type of transmission”, and then dig deeper into the results in a conversational manner to uncover hidden insights from Covid datasets in a Spark instance. We believe that having access to such data and insights at their fingertips can help users make appropriate decisions quickly, improve data literacy and even overcome the scourge of fake news for the general public.
HBaseCon 2012 | HBase for the Worlds Libraries - OCLCCloudera, Inc.
WorldCat is the world’s largest network of library content and services. Over 25,000 libraries in 170 countries have cooperated for 40 years to build WorldCat. OCLC is currently in the process of transitioning Worldcat from Oracle to Apache HBase. This session will discuss our data design for representing the constantly changing ownership information for thousands of libraries (billions of data points, millions of daily updates) and our plans for how we’re managing HBase in an environment that is equal parts end user facing and batch.
Bypassing Web Application Firewalls and other security filtersNetsparker
These slides were used for the live demo, Netsparker's security researcher Sven Morgenroth gave during episode 526 of Paul's Security Weekly.
During the live demo Sven shows how to bypass web application firewalls and highlight the importance of fixing vulnerabilities in web applications, regardless of how many layers of security you have protecting your web application.
Watch the live demo at the following URL: https://www.netsparker.com/blog/web-security/live-demo-web-application-firewall-bypass/
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook. One key feature in Presto is the ability to query data where it lives via a uniform ANSI SQL interface. Presto’s connector architecture creates an abstraction layer for anything that can be expressed in a row-like format, such as HDFS, Amazon S3, Azure Storage, NoSQL stores, relational databases, Kafka streams and even proprietary data stores. Furthermore, a single Presto query can combine data from multiple sources, allowing for analytics across your entire organization.
This talk will be co-presented by Facebook and Teradata, the two largest contributors to Presto. The talk will focus on Presto’s ability to query virtually any data source via it’s connector interface. Facebook and Teradata will present some of their use cases of Presto querying various data sources, discuss the existing connectors in Presto, and describe the anatomy of a connector.
One of the key differences between Presto and Hive, also a crucial functional requirement Facebook made when launching this new SQL engine project, was to have the opportunity to query different kinds of data sources via a uniform ANSI SQL interface.
Presto, an open source distributed analytical SQL engine, implements this with it’s connector architecture, creating an abstraction layer for anything that can be expressed as in a row-like format, ranging from MySQL tables, HDFS, Amazon S3 to NoSQL stores, Kafka streams and proprietary data sources. Presto connector SPI allows anyone to implement a Presto connector and benefit from the capabilities of the Presto SQL engine, enabling them to join data from various sources within a single SQL query.
Presto: Distributed SQL on Anything - Strata Hadoop 2017 San Jose, CAkbajda
Teradata joined the Presto community in 2015 and is now a leading contributor to this open source SQL engine, originally created by Facebook. The project has a rapidly growing community of users, including Airbnb, FINRA, Netflix, Twitter, and Uber. Kamil Bajda-Pawlikowski explores the key architectural components that allow querying variety of data sources and make Presto uniquely position to be applied in both Hadoop and Cloud use cases. Along the way, Kamil covers Teradata’s recent enhancements in query performance, security integrations, and ANSI SQL coverage and shares the roadmap for 2017 and beyond.
AtlasCamp 2014: Building a Production Ready Connect Add-onAtlassian
Atlassian Connect add-ons are SaaS applications. Building and running them means planning with operations in mind: where should you host your add-on? What's the best way to deploy it? How can you monitor it once it's live? How much will it cost to run? We'll draw from Atlassian's experiences building Who's Looking for OnDemand (a production Connect add-on installed in 750 instances with 15,000 active users) to explore tips and best practices to help answer these questions and more.
Connecting to MySQL in Java via Connector/J. With High Availability feature in MySQL using Replication, Fabric or MySQL Cluster, There are different ways of usage in connector/J.
Delivering High Performance Ecommerce with Magento Commerce CloudGuncha Pental
Agenda:
1. Featured tools provided by Magento Commerce Cloud to facilitate Performance Driven Development.
2. Performance monitoring and analysis with New Relic.
3. Analyzing issues and bottlenecks with the help of Blackfire.
4. Delivering performance-driven development with Blackfire.
(DEV309) From Asgard to Zuul: How Netflix’s Proven Open Source Tools Can Help...Amazon Web Services
Learn how you can leverage the many Netflix Open Source tools to help grow your services to web-scale, and make them robust and resilient. We cover a variety of the OSS components-from operational tools like Asgard and Simian Army, to core services and libraries like Zuul, Eureka, Archaius, and Hystrix, plus a variety of security and big data tools. We walk through a sample application to illustrate how the many components fit together to build a cohesive solution.
AtlasCamp 2014: Building a Production Ready Connect Add-OnRobin Fernandes
Atlassian Connect add-ons are SaaS applications. Building and running them means planning with operations in mind: where should you host your add-on? What's the best way to deploy it? How can you monitor it once it's live? How much will it cost to run? We'll draw from Atlassian's experiences building Who's Looking for OnDemand (a production Connect add-on installed in 950 instances with 20,000 active users) to explore tips and best practices to help answer these questions and more.
Integrating Infrastructure as Code into a Continuous Delivery Pipeline | AWS ...Amazon Web Services
Ansible is a simple, but powerful automation tool with an agentless footprint that allows for the definition of architecture, intent, and policy as code that can be deployed across both on-prem and cloud infrastructure. This enables customers to extend their enterprise and applications into AWS in a way that maintains a consistent, secure posture as part of a continuous delivery pipeline. Customers can then natively integrate with AWS to seamlessly configure and deploy a range of AWS services such as Amazon Aurora, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon CloudFront, Amazon Route 53, and Elastic Load Balancing from within Red Hat OpenShift across a secure, consistent hybrid cloud infrastructure. In this session, we will demonstrate how infrastructure can be instantiated with code as part of a continuous delivery pipeline and describe how that integrates with an OpenShift hybrid cloud deployment. Learn More: https://aws.amazon.com/government-education/
Intro to Windows Server AppFabric
by Ron Jacobs, Senior Technical Evangelist at Microsoft
Windows Server AppFabric is a set of integrated technologies that make it easier to build, scale and manage Web and composite applications that run on IIS.
This presentation will help SQL Server developers and DBAs get up to speed on AppFabric. You'll also learn how Windows AppFabric caching can help you scale your Data Tier.
You will learn:
•The core capabilities of Windows Server AppFabric
•How the distributed nature of AppFabric’s cache allows large amounts of data to be stored in-memory for extremely fast access and help you scale your SQL Data Tier
•How to get started with Windows Server AppFabric
Altitude San Francisco 2018: Testing with Fastly WorkshopFastly
A crucial step for continuous integration and continuous delivery with Fastly is testing the service configuration to provide confidence in changes. This workshop will cover unit-testing VCL, component testing a service as a black box, systems testing a service end-to-end and stakeholder acceptance testing.
Structure your Play application with the cake pattern (and test it)yann_s
A challenge during the development of an application is how to add new functions without compromising existing ones.
Using the Cake Pattern, the application can be structured into logical components, thus minimizing the coupling between them and controlling the effects of changes.
You will learn what this pattern is, and how to introduce it step by step in a Play Application. You will be shown how an application designed that way is easy to test, especially with the Play testing API.
Finally, the talk will describe the common pitfalls of the Cake Pattern and how to avoid them.
Video of the talk: http://www.ustream.tv/recorded/42775808
Sources: https://github.com/yanns/TPA
Sources of the final version: https://github.com/yanns/TPA/tree/master/frontend/TBA_05_final
Build A Killer Client For Your REST+JSON APIStormpath
REST+JSON APIs are great - but you still need to communicate with them from your code. Wouldn't you prefer to interact with clean and intuitive Java objects instead of messing with HTTP requests, HTTP status codes and JSON parsing? Wouldn't you prefer to work with type-safe objects specific to your API?
In this presentation, Les Hazlewood - Stormpath CTO and Apache Shiro PMC Chair - will share all of the golden nuggets learned while designing, implementing and supporting multiple clients purpose-built for a real-world REST+JSON API.
Further reading: http://www.stormpath.com/blog
Stormpath is a user management and authentication service for developers. By offloading user management and authentication to Stormpath, developers can bring applications to market faster, reduce development costs, and protect their users. Easy and secure, the flexible cloud service can manage millions of users with a scalable pricing model.
Using Istio to Secure & Monitor Your ServicesAlcide
Good observability in a microservice architecture is not easy. Istio can help to remove the complexity from developers and leave the work to the operator. Learn how to gain a deeper understanding of using Istio for monitoring tasks, while using Istio security features to secure your microservices and spot security anomalies.
For the recorded webinar: https://bit.ly/2KNaGmc
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
9. Prestobase proxy
• Written in Scala
• Finagle base RPC proxy
• Running as Docker container
• A user of Airframe
• VCR base light-weight test framework
10. Finagle
Finagle is an extensible RPC system for the JVM,
used to construct high-concurrency servers.
Finagle implements uniform client and server
APIs for several protocols, and is designed for
high performance and concurrency.
see: https://twitter.github.io/finagle/
11. Finagle
protected val service: Service[Request, Response] =
bind[SomeFilter] andThen
bind[AnotherHandler] andThen
LastFilter andThen
prestoClient
Build request pipeline by binding
filter, handlers with Airframe
12. Airframe
Airframe is a trait base dependency injection
framework using Scala macro
- https://github.com/wvlet/airframe
14. Airframe
val design : Design =
newDesign
.bind[X].toInstance(new X) // Bind type X to a concrete instance
.bind[Y].toSingleton // Bind type Y to a singleton object
.bind[Z].to[ZImpl] // Bind type Z to an instance of ZImpl
import wvlet.airframe._
trait App {
val x = bind[X]
val y = bind[Y]
val z = bind[Z]
// Do something with X, Y, and Z
}
val session = design.newSession
val app : App = session.build[App]
15. VCR testing framework
Record test suite HTTP interaction to make
test stable and deterministic
see more detail
https://testing.googleblog.com/2016/11/what-test-engineers-do-at-google.html
16. VCR testing framework
protected val service: Service[Request, Response] =
bind[SomeFilter] andThen
bind[AnotherHandler] andThen
QueryRewriter andThen
bind[RequestVCR] andThen
prestClient
protected val service: Service[Request, Response] =
bind[SomeFilter] andThen
bind[AnotherHandler] andThen
QueryRewriter andThen
bind[NoRecording] andThen
prestClient
On CI
On Production
23. Node Scheduler
NodeScheduler creates NodeSelector that
selects worker nodes on which tasks are
scheduled. NodeSelector picks up worker
nodes when there is available splits.
24. Node Scheduler in TD
Keeps worker node map that can be
candidate for launching next tasks.
- Ignore min candidates
- Limit by available memory pool
25. Node Scheduler in TD
Back to normal memory pool usage after task is completed.
26. Node Scheduler in TD
Challenges
- Smoothing CPU time metric
- Split type awareness
- Avoid problematic worker nodes
28. Resource Group
Resource Group was introduced since 0.147
→ https://prestodb.io/docs/current/admin/resource-groups.html
Resource Group aims to limit the resource
usage by account/group/query.
30. Resource Group limits
- maxQueued
- maxRunning
- softMemoryLimit
Following queries will be queued
- softCpuLimit
Impose penalty against max running queries
- hardCpuLimit
Following queries will be queued
31. Resource Group scheduling
- schedulingPolicy
- fair : FIFO
- weighted : Selected stochastically
- query_priority : Selected according to priority
- schedulingWeight
32. Resource Group
Every query must be associated to a resource
group. The matching can be done by
configured selector.
{
"user": “bob", "group": "general"
},
{
"source": “.*adhoc.*", "group": "global.adhoc.adhoc_${USER}"
}
37. Recap
Distributed system often requires each
component to be stable and scalable. We can
make Presto ecosystem reliable by doing…
- Code modification reliability with DI
- VCR testing
- Multi dimensional resource scheduling
- Resource isolation makes multi-tenant
distributed SQL engine reliable