This document provides an overview of Nibiru, an open source NoSQL database that the presenter has been working on in their spare time. It discusses some of the motivations for building Nibiru, including providing a general tool that can support a majority of use cases with fewer forced choices than existing NoSQL databases. The presentation then covers some of the basic components and design decisions around topics like cluster membership using gossip protocols, request routing, storage layer implementations, consistency models, and challenges around testing distributed systems.
Large Scale Data Analytics with Spark and Cassandra on the DSE PlatformDataStax Academy
In this talk will show how Large Scale Data Analytics can be done with Spark and Cassandra on the DataStax Enterprise Platform. First we will give an overview of what is the Spark Cassandra Connector and how it enables working with large data sets. Then we will use the Spark Notebook to show live examples in the browser of interacting with the data. The example will load a large Movies Database from Cassandra into Spark and then show how that data can be transformed and analyzed using Spark.
Leveraging Docker and CoreOS to provide always available Cassandra at Instacl...DataStax
With a growing customer base and Cassandra clusters running on-top of a number of the world’s largest cloud and bare-metal hosting providers, Instaclustr is at the forefront of always-on Cassandra hosting. Instaclustr leverages the power of Docker, a modern containerization solution for Linux, and CoreOS, a lightweight Linux distribution tailored to running software inside containers, to build a stable and adaptable Cassandra hosting platform.
In this talk Ben will walk you through running Cassandra in a docker environment to give you a flexible development environment that uses only a very small set of resources, both locally and with your favorite cloud provider. Lessons learned running Cassandra with a very small set of resources are applicable to both your local development environment and larger, less constrained production deployments.
(BDT323) Amazon EBS & Cassandra: 1 Million Writes Per SecondAmazon Web Services
With the introduction of Amazon Elastic Block Store (EBS) GP2 and recent stability improvements, EBS has gained credibility in the Cassandra world for high performance workloads. By running Cassandra on Amazon EBS, you can run denser, cheaper Cassandra clusters with just as much availability as ephemeral storage instances. This talk walks through a highly detailed use case and configuration guide for a multi PetaByte, million write per second cluster that needs to be high performing and cost efficient. We explore the instance type choices, configuration, and low-level tuning that allowed us to hit 1.3 million writes per second with a replication factor of 3 on just 60 nodes.
Diagnosing Problems in Production - CassandraJon Haddad
This presentation covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Readers will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster. This presentation is intended for people with a general understanding of Cassandra, but it not required to have experience running it in production.
RESTEasy Reactive: Why should you care? | DevNation Tech TalkRed Hat Developers
There's a new version of RESTEasy tailor-made for Quarkus, but why was it created? What's so special about it? Why should you care? We will explain why reactive and async programming matter for performance and how you can take advantage of that to get outstanding performance with RESTEasy Reactive. We will even throw in some Hibernate Reactive for good measure during the demo. Don't care about performance? Don't worry. With its demonstrated ease of use and usability improvements, you will want to start using RESTEasy Reactive on your existing applications.
Large Scale Data Analytics with Spark and Cassandra on the DSE PlatformDataStax Academy
In this talk will show how Large Scale Data Analytics can be done with Spark and Cassandra on the DataStax Enterprise Platform. First we will give an overview of what is the Spark Cassandra Connector and how it enables working with large data sets. Then we will use the Spark Notebook to show live examples in the browser of interacting with the data. The example will load a large Movies Database from Cassandra into Spark and then show how that data can be transformed and analyzed using Spark.
Leveraging Docker and CoreOS to provide always available Cassandra at Instacl...DataStax
With a growing customer base and Cassandra clusters running on-top of a number of the world’s largest cloud and bare-metal hosting providers, Instaclustr is at the forefront of always-on Cassandra hosting. Instaclustr leverages the power of Docker, a modern containerization solution for Linux, and CoreOS, a lightweight Linux distribution tailored to running software inside containers, to build a stable and adaptable Cassandra hosting platform.
In this talk Ben will walk you through running Cassandra in a docker environment to give you a flexible development environment that uses only a very small set of resources, both locally and with your favorite cloud provider. Lessons learned running Cassandra with a very small set of resources are applicable to both your local development environment and larger, less constrained production deployments.
(BDT323) Amazon EBS & Cassandra: 1 Million Writes Per SecondAmazon Web Services
With the introduction of Amazon Elastic Block Store (EBS) GP2 and recent stability improvements, EBS has gained credibility in the Cassandra world for high performance workloads. By running Cassandra on Amazon EBS, you can run denser, cheaper Cassandra clusters with just as much availability as ephemeral storage instances. This talk walks through a highly detailed use case and configuration guide for a multi PetaByte, million write per second cluster that needs to be high performing and cost efficient. We explore the instance type choices, configuration, and low-level tuning that allowed us to hit 1.3 million writes per second with a replication factor of 3 on just 60 nodes.
Diagnosing Problems in Production - CassandraJon Haddad
This presentation covers diagnosing and solving common problems encountered in production, using performance profiling tools. We’ll also give a crash course to basic JVM garbage collection tuning. Readers will leave with a better understanding of what they should look for when they encounter problems with their in-production Cassandra cluster. This presentation is intended for people with a general understanding of Cassandra, but it not required to have experience running it in production.
RESTEasy Reactive: Why should you care? | DevNation Tech TalkRed Hat Developers
There's a new version of RESTEasy tailor-made for Quarkus, but why was it created? What's so special about it? Why should you care? We will explain why reactive and async programming matter for performance and how you can take advantage of that to get outstanding performance with RESTEasy Reactive. We will even throw in some Hibernate Reactive for good measure during the demo. Don't care about performance? Don't worry. With its demonstrated ease of use and usability improvements, you will want to start using RESTEasy Reactive on your existing applications.
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
These slides are part of a presentation I gave on a Google Hangout on air regarding Python Performance Profiling. Specifically, I explore examining both development and production environments, build systems, testing frameworks (py.test & nose), various profilers for dev, and how to profile in production. The full talk is on youtube here: https://www.youtube.com/watch?v=tZc-v0-3OKQ
Mesosphere and Contentteam: A New Way to Run CassandraDataStax Academy
We, Ben Whitehead and Robert Stupp, will show you how to run Cassandra on Mesos. We will go through all the technical steps how to plan, setup and operate even large scale Cassandra clusters on Mesos. Further we illustrate how the Cassandra-on-Mesos framework helps you to setup Cassandra on Mesos, schedule regular maintenance tasks and manage hardware failures in the heart of your data center.
C* Summit 2013: Hardware Agnostic - Cassandra on Raspberry Pi by Andy CobleyDataStax Academy
The raspberry Pi is a credit-card sized $25 ARM based linux box designed to teach children the basics of programming. The machine comes with a 700MHz ARM and 512Mb of memory and boots off a SD card, not much power for running the likes of a Cassandra cluster. This presentation will discuss the problems of getting Cassandra up and running on the Pi and will answer the all important question: Why on Earth would you want to do this!?
Best Practices for Running Kafka on Docker ContainersBlueData, Inc.
Docker containers provide an ideal foundation for running Kafka-as-a-Service on-premises or in the public cloud. However, using Docker containers in production environments for Big Data workloads using Kafka poses some challenges – including container management, scheduling, network configuration and security, and performance.
In this session at Kafka Summit in August 2017, Nanda Vijyaydev of BlueData shared lessons learned from implementing Kafka-as-a-Service with Docker containers.
https://kafka-summit.org/sessions/kafka-service-docker-containers
Scylla Summit 2016: Outbrain Case Study - Lowering Latency While Doing 20X IO...ScyllaDB
Outbrain is the world's largest content discovery program. Learn about their use case with Scylla where they lowered latency while doing 20X IOPS of Cassandra.
Moving Legacy Applications to Docker by Josh Ellithorpe, Apcera Docker, Inc.
Looking to move your application to run in a container? Need to move existing x86 legacy applications to Docker? Let's break down your fundamental application concerns. This includes persistent storage, networking, configuration management, policy, logging, health monitoring, and service discovery. You won't want to miss this talk.
Most often Zabbix users will monitor Linux hosts using the Zabbix agent, however SNMP is not only an option, it's actually a very viable one. Andrew Nelson will describe his experience configuring Zabbix to monitor a Linux environment of over 500 systems using only SNMP.
Zabbix Conference 2015
This is a talk that I gave at the San Francisco DevOps meetup on 9/29/15. I talk about how Yelp performs service discovery using SmartStack and Docker.
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
These slides are part of a presentation I gave on a Google Hangout on air regarding Python Performance Profiling. Specifically, I explore examining both development and production environments, build systems, testing frameworks (py.test & nose), various profilers for dev, and how to profile in production. The full talk is on youtube here: https://www.youtube.com/watch?v=tZc-v0-3OKQ
Mesosphere and Contentteam: A New Way to Run CassandraDataStax Academy
We, Ben Whitehead and Robert Stupp, will show you how to run Cassandra on Mesos. We will go through all the technical steps how to plan, setup and operate even large scale Cassandra clusters on Mesos. Further we illustrate how the Cassandra-on-Mesos framework helps you to setup Cassandra on Mesos, schedule regular maintenance tasks and manage hardware failures in the heart of your data center.
C* Summit 2013: Hardware Agnostic - Cassandra on Raspberry Pi by Andy CobleyDataStax Academy
The raspberry Pi is a credit-card sized $25 ARM based linux box designed to teach children the basics of programming. The machine comes with a 700MHz ARM and 512Mb of memory and boots off a SD card, not much power for running the likes of a Cassandra cluster. This presentation will discuss the problems of getting Cassandra up and running on the Pi and will answer the all important question: Why on Earth would you want to do this!?
Best Practices for Running Kafka on Docker ContainersBlueData, Inc.
Docker containers provide an ideal foundation for running Kafka-as-a-Service on-premises or in the public cloud. However, using Docker containers in production environments for Big Data workloads using Kafka poses some challenges – including container management, scheduling, network configuration and security, and performance.
In this session at Kafka Summit in August 2017, Nanda Vijyaydev of BlueData shared lessons learned from implementing Kafka-as-a-Service with Docker containers.
https://kafka-summit.org/sessions/kafka-service-docker-containers
Scylla Summit 2016: Outbrain Case Study - Lowering Latency While Doing 20X IO...ScyllaDB
Outbrain is the world's largest content discovery program. Learn about their use case with Scylla where they lowered latency while doing 20X IOPS of Cassandra.
Moving Legacy Applications to Docker by Josh Ellithorpe, Apcera Docker, Inc.
Looking to move your application to run in a container? Need to move existing x86 legacy applications to Docker? Let's break down your fundamental application concerns. This includes persistent storage, networking, configuration management, policy, logging, health monitoring, and service discovery. You won't want to miss this talk.
Most often Zabbix users will monitor Linux hosts using the Zabbix agent, however SNMP is not only an option, it's actually a very viable one. Andrew Nelson will describe his experience configuring Zabbix to monitor a Linux environment of over 500 systems using only SNMP.
Zabbix Conference 2015
This is a talk that I gave at the San Francisco DevOps meetup on 9/29/15. I talk about how Yelp performs service discovery using SmartStack and Docker.
Associationship is an important component of data mining. In real world applications, the knowledge that is used for aiding decision-making is always time-varying. However, most of the existing data mining approaches rely on the assumption that discovered knowledge is valid indefinitely. For supporting better decision making, it is desirable to be able to actually identify the temporal features with the interesting patterns or rules. This paper presents a novel approach for mining Efficient Temporal Association Rule (ETAR). The basic idea of ETAR is to first partition the database into time periods of item set and then progressively accumulates the occurrence count of each item set based on the intrinsic partitioning characteristics. Explicitly, the execution time of ETAR is, in orders of magnitude, smaller than those required by schemes which are directly extended from existing methods because it scan the database only once.
Sociológicamente hablando, el hombre es un ser gregario, al que le gusta vivir en grupo, generando actividades por el bienestar propio y de los suyos; que busca la cooperación para alcanzar metas comunes y que además, lucha porque esas metas den frutos a corto, mediano y largo plazo. La contribución entre seres humanos para mejorar día a día, no es un producto de las sociedades industrializadas, ni de los adelantos del siglo XX, así como tampoco la panacea de los albores de este siglo… viene desde tiempos inmemoriales, desde que el hombre decidió sedentarizarse y congregarse para ayudarse mutuamente de las habilidades y destrezas de los otros.
Peñalolen es una Comuna al Oriente de Chile que ha sabido enfrentar el problema del medio ambiente de forma sustentable, que es abierta a cooperar en la fomentaciòn de políticas de este tipo en otros territorios, brindando toda la información que les sea solicitada a otros Gobiernos y personas interesadas.
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.
Under The Hood Of A Shard-Per-Core Database ArchitectureScyllaDB
Most databases are based on architectures that pre-date advances to modern hardware. This results in performance issues, the need to overprovision, and a high total cost of ownership. In this webinar, we will discuss the advances to modern server technology and take a deep dive into ScyllaDB’s shard-per-core architecture and our asynchronous engine, the Seastar framework.
Join us to learn how Seastar (and ScyllaDB):
- Avoid locks and contention on the CPU level
- Bypass kernel bottlenecks
- Implement its per-core shared-nothing autosharding mechanism
- Utilize modern storage hardware
- Leverage NUMA to get the best RAM performance
- Balance your data across CPUs and nodes for the best and smoothest performance
Plus we’ll cover the advantages of unlocking vertical scalability.
When Node.js Goes Wrong: Debugging Node in Production
The event-oriented approach underlying Node.js enables significant concurrency using a deceptively simple programming model, which has been an important factor in Node's growing popularity for building large scale web services. But what happens when these programs go sideways? Even in the best cases, when such issues are fatal, developers have historically been left with just a stack trace. Subtler issues, including latency spikes (which are just as bad as correctness bugs in the real-time domain where Node is especially popular) and other buggy behavior often leave even fewer clues to aid understanding. In this talk, we will discuss the issues we encountered in debugging Node.js in production, focusing upon the seemingly intractable challenge of extracting runtime state from the black hole that is a modern JIT'd VM.
We will describe the tools we've developed for examining this state, which operate on running programs (via DTrace), as well as VM core dumps (via a postmortem debugger). Finally, we will describe several nasty bugs we encountered in our own production environment: we were unable to understand these using existing tools, but we successfully root-caused them using these new found abilities to introspect the JavaScript VM.
With Dask and Numba, you can NumPy-like and Pandas-like code and have it run very fast on multi-core systems as well as at scale on many-node clusters.
(Berkeley CS186 guest lecture) Big Data Analytics Systems: What Goes Around C...Reynold Xin
(Berkeley CS186 guest lecture)
Big Data Analytics Systems: What Goes Around Comes Around
Introduction to MapReduce, GFS, HDFS, Spark, and differences between "Big Data" and database systems.
Beyond the DSL - Unlocking the power of Kafka Streams with the Processor APIconfluent
Technical breakout during Confluent’s streaming event in Munich, presented by Antony Stubbs, Solution Architect at Confluent. This three-day hands-on course focused on how to build, manage, and monitor clusters using industry best-practices developed by the world’s foremost Apache Kafka™ experts. The sessions focused on how Kafka and the Confluent Platform work, how their main subsystems interact, and how to set up, manage, monitor, and tune your cluster.
The Computer Science Behind a modern Distributed DatabaseArangoDB Database
What we see in the modern data store world is a race between different approaches to achieve a distributed and resilient storage of data. Every application needs a stateful layer which holds the data. There are several different necessary components which are anything but trivial to combine, and, of course, even more challenging when attempting to optimize for performance. Over the past years there has been significant progress in both the science and practical implementations of such data stores. In this talk Dan Larkin-York will introduce the audience to some of the challenges, address the difficulties of their interplay, and cover key approaches taken by some of the industry’s leaders (ArangoDB, Cassandra, CockroachDB, MarkLogic, and more).
The relational database model was designed to solve the problems of yesterday’s data storage requirements. The massively connected world of today presents different problems and new challenges. We’ll explore the NoSQL philosophy, before comparing and contrasting the strengths and weaknesses of the relational model versus the NoSQL model. While stepping through real-world scenarios, we’ll discuss the reasons for choosing one solution over the other.
To complete this session, let’s demonstrate our findings with an application written with a NoSQL storage layer and explain the advantages that accrue from that decision. By taking a look at the new challenges we face with our data storage needs, we’ll examine why the principles behind NoSQL make it a better candidate as a solution, than yesterday’s relational model.
ParaForming - Patterns and Refactoring for Parallel Programmingkhstandrews
Despite Moore's "law", uniprocessor clock speeds have now stalled. Rather than single processors running at ever higher clock speeds, it is
common to find dual-, quad- or even hexa-core processors, even in consumer laptops and desktops.
Future hardware will not be slightly parallel, however, as in today's multicore systems, but will be
massively parallel, with manycore and perhaps even megacore systems
becoming mainstream.
This means that programmers need to start thinking parallel. To achieve this they must move away
from traditional programming models where parallelism is a
bolted-on afterthought. Rather, programmers must use languages where parallelism is deeply embedded into the programming model
from the outset.
By providing a high level model of computation, without explicit ordering of computations,
declarative languages in general, and functional languages in particular, offer many advantages for parallel
programming.
One of the most fundamental advantages of the functional paradigm is purity.
In a purely functional language, as exemplified by Haskell, there are simply no side effects: it is therefore impossible for parallel computations to conflict with each
other in ways that are not well understood.
ParaForming aims to radically improve the process
of parallelising purely functional programs through a comprehensive set of high-level parallel refactoring patterns for Parallel Haskell,
supported by advanced refactoring tools.
By matching parallel design patterns with appropriate algorithmic skeletons
using advanced software refactoring techniques and novel cost information, we will bridge the gap between fully automatic
and fully explicit approaches to parallelisation, helping programmers "think parallel" in a systematic,
guided way. This talk introduces the ParaForming approach, gives some examples and shows how
effective parallel programs can be developed using advanced refactoring technology.
Presented to eRum (Budapest), May 2018
There are many common workloads in R that are "embarrassingly parallel": group-by analyses, simulations, and cross-validation of models are just a few examples. In this talk I'll describe the doAzureParallel package, a backend to the "foreach" package that automates the process of spawning a cluster of virtual machines in the Azure cloud to process iterations in parallel. This will include an example of optimizing hyperparameters for a predictive model using the "caret" package.
Distributed Database Consistency: Architectural Considerations and TradeoffsScyllaDB
With the increasing complexity of modern distributed systems, concerns around latency, availability, and consistency have come to the forefront. In response, a new generation of distributed databases is taking over: databases capable of harnessing the power and capabilities of the multi-cloud ecosystem. This new generation of distributed databases is challenging many of the traditional tradeoffs between relational and non-relational models.
This webinar will explore the technologies and trends behind this new generation of distributed databases, then take a technical deep dive into one example: ScyllaDB. ScyllaDB was built specifically for extreme low latencies, but has recently increased consistency by implementing the Raft consensus protocol. Engineers will share how they are implementing a low-latency architecture, and how strongly consistent topology and schema changes enable highly reliable and safe systems, without sacrificing low-latency characteristics.
CTF3, Stripe's third Capture-the-Flag, focused on distributed systems engineering with a goal of learning to build fault-tolerant, performant software while playing around with a bunch of cool cutting-edge technologies.
More here: https://stripe.com/blog/ctf3-launch.
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.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
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.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
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.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
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/
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/
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
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.
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.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
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.
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.
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.
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Building your own NSQL store
1. 1
Building a nosql from scratch
Let them know what they are missing!
#ddtx16
@edwardcapriolo
@HuffPostCode
2. 2
If you are looking for
A battle tested NoSQL data store
That scales up to 1 million transactions a second
Allows you to query data from your IoT sensors in real time
You are at the wrong talk!
This is a presentation about Nibiru
An open source database I work on in my spare time
But you should stay anyway...
3. 3
Motivations
Why do that?
How this got started?
What did it morph into?
Many NoSQL databases came out of an industry specific use
case and as a result they had baked in assumptions. If we
have clean interfaces and good abstractions we can make a
better general tool with lessed forced choices.
Pottentially support a majority of the use cases in one
tool.
6. 6
You might want to follow along with local copy
There are a lot of slides that have a fair amount of code
https://github.com/edwardcapriolo/nibiru/blob/master/hexagons.ppt
http://bit.ly/1NcAoEO
8. 8
Terminology
Keyspace: A logical grouping of store(s)
Store: A structure that holds data
− Avoided: Column Family, Table, Collection, etc
Node: a system
Cluster: a group of nodes
9. 9
Assumptions & Design notes
A store is of a specific type Key Value, Column Family, etc
The API of the store is dictated by the type
Ample gotchas from one man, after work, project
Wire components together, not into a large context
Using string (for now) instead of byte[] for debug
10. 10
Server ID
We need to uniquely identify each node
Hostname/ip is not good solution
− Systems have multiple
− Can change
Should be able to run N copies on single node
17. 17
Teknek Gossip
Licenced Apache V2
Forked from google code project
Available from maven g: io.teknek a: gossip
Great tool for building a peer-to-peer service
20. 20
Gutcheck
Did clean abstractions hurt the design here?
Does it seem possible we could add zookeeper/etcd as a
backend implemention?
Any takers? :)
22. 22
Some options
So you have a bunch of nodes in a cluster,
but where the heck does the data go?
Client dictated - like a sharded memcache|mysql|whatever
HBase - Sharding with a leader election
Dynamo Style - ring topology token ownership
26. 26
Scenario: using a Dynamo-ish router
Construct a three node topology
Give each an id
Give them each a token
Test that requests route properly
40. 40
Unforunately no!
Imagine two requests arrive in this order:
− set people [edward] [age]='34' (Time 2)
− set people [edward] [age]='35' (Time 1)
What should be the final value?
We need to deal with events landing out of order
Also exists delete write known as Tombstone
41. 41
And then, there is concurrency
Multiple threads manipulating at same time
Proposed solution: (Which I think is correct)
− Do not compare and swap value, instead append to queue and take
a second pass to optimize
52. 52
Breakdown of components
Start & dedline : Max time to wait for requests
Message : The read/write request sent to each destination
Merger : Turn multiple responses into single result
55. 55
Challenges of timing in testing
Target goal is ~ 80% unit 20% integetration (e2e) testing
Performance varies in local vs travis-ci
Hard to test something that typically happens in milliseconds
but at worst case can take seconds
Lazy half solution: Thread.sleep() statements for worst case
− Definately a slippery slope