Kafka's basic terminologies, its architecture, its protocol and how it works.
Kafka at scale, its caveats, guarantees and use cases offered by it.
How we use it @ZaprMediaLabs.
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
Kafka Tutorial - Introduction to Apache Kafka (Part 1)Jean-Paul Azar
Why is Kafka so fast? Why is Kafka so popular? Why Kafka? This slide deck is a tutorial for the Kafka streaming platform. This slide deck covers Kafka Architecture with some small examples from the command line. Then we expand on this with a multi-server example to demonstrate failover of brokers as well as consumers. Then it goes through some simple Java client examples for a Kafka Producer and a Kafka Consumer. We have also expanded on the Kafka design section and added references. The tutorial covers Avro and the Schema Registry as well as advance Kafka Producers.
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
Kafka Tutorial - Introduction to Apache Kafka (Part 1)Jean-Paul Azar
Why is Kafka so fast? Why is Kafka so popular? Why Kafka? This slide deck is a tutorial for the Kafka streaming platform. This slide deck covers Kafka Architecture with some small examples from the command line. Then we expand on this with a multi-server example to demonstrate failover of brokers as well as consumers. Then it goes through some simple Java client examples for a Kafka Producer and a Kafka Consumer. We have also expanded on the Kafka design section and added references. The tutorial covers Avro and the Schema Registry as well as advance Kafka Producers.
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
A brief introduction to Apache Kafka and describe its usage as a platform for streaming data. It will introduce some of the newer components of Kafka that will help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library.
Jay Kreps is a Principal Staff Engineer at LinkedIn where he is the lead architect for online data infrastructure. He is among the original authors of several open source projects including a distributed key-value store called Project Voldemort, a messaging system called Kafka, and a stream processing system called Samza. This talk gives an introduction to Apache Kafka, a distributed messaging system. It will cover both how Kafka works, as well as how it is used at LinkedIn for log aggregation, messaging, ETL, and real-time stream processing.
It covers a brief introduction to Apache Kafka Connect, giving insights about its benefits,use cases, motivation behind building Kafka Connect.And also a short discussion on its architecture.
Watch this talk here: https://www.confluent.io/online-talks/how-apache-kafka-works-on-demand
Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer. From there we’ll cover strategies for building powerful stream processing applications, including high availability through replication, data retention policies, producer design and producer guarantees.
We’ll delve into the details of delivery guarantees, including exactly-once semantics, partition strategies and consumer group rebalances. The talk will finish with a discussion of compacted topics, troubleshooting strategies and a security overview.
This session is part 3 of 4 in our Fundamentals for Apache Kafka series.
Apache Kafka becoming the message bus to transfer huge volumes of data from various sources into Hadoop.
It's also enabling many real-time system frameworks and use cases.
Managing and building clients around Apache Kafka can be challenging. In this talk, we will go through the best practices in deploying Apache Kafka
in production. How to Secure a Kafka Cluster, How to pick topic-partitions and upgrading to newer versions. Migrating to new Kafka Producer and Consumer API.
Also talk about the best practices involved in running a producer/consumer.
In Kafka 0.9 release, we’ve added SSL wire encryption, SASL/Kerberos for user authentication, and pluggable authorization. Now Kafka allows authentication of users, access control on who can read and write to a Kafka topic. Apache Ranger also uses pluggable authorization mechanism to centralize security for Kafka and other Hadoop ecosystem projects.
We will showcase open sourced Kafka REST API and an Admin UI that will help users in creating topics, re-assign partitions, Issuing
Kafka ACLs and monitoring Consumer offsets.
Introducing Apache Kafka - a visual overview. Presented at the Canberra Big Data Meetup 7 February 2019. We build a Kafka "postal service" to explain the main Kafka concepts, and explain how consumers receive different messages depending on whether there's a key or not.
Fundamentals and Architecture of Apache KafkaAngelo Cesaro
Fundamentals and Architecture of Apache Kafka.
This presentation explains Apache Kafka's architecture and internal design giving an overview of Kafka internal functions, including:
Brokers, Replication, Partitions, Producers, Consumers, Commit log, comparison over traditional message queues.
Unleashing Real-time Power with Kafka.pptxKnoldus Inc.
Unlock the potential of real-time data streaming with Kafka in this session. Learn the fundamentals, architecture, and seamless integration with Scala, empowering you to elevate your data processing capabilities. Perfect for developers at all levels, this hands-on experience will equip you to harness the power of real-time data streams effectively.
A brief introduction to Apache Kafka and describe its usage as a platform for streaming data. It will introduce some of the newer components of Kafka that will help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library.
Jay Kreps is a Principal Staff Engineer at LinkedIn where he is the lead architect for online data infrastructure. He is among the original authors of several open source projects including a distributed key-value store called Project Voldemort, a messaging system called Kafka, and a stream processing system called Samza. This talk gives an introduction to Apache Kafka, a distributed messaging system. It will cover both how Kafka works, as well as how it is used at LinkedIn for log aggregation, messaging, ETL, and real-time stream processing.
It covers a brief introduction to Apache Kafka Connect, giving insights about its benefits,use cases, motivation behind building Kafka Connect.And also a short discussion on its architecture.
Watch this talk here: https://www.confluent.io/online-talks/how-apache-kafka-works-on-demand
Pick up best practices for developing applications that use Apache Kafka, beginning with a high level code overview for a basic producer and consumer. From there we’ll cover strategies for building powerful stream processing applications, including high availability through replication, data retention policies, producer design and producer guarantees.
We’ll delve into the details of delivery guarantees, including exactly-once semantics, partition strategies and consumer group rebalances. The talk will finish with a discussion of compacted topics, troubleshooting strategies and a security overview.
This session is part 3 of 4 in our Fundamentals for Apache Kafka series.
Apache Kafka becoming the message bus to transfer huge volumes of data from various sources into Hadoop.
It's also enabling many real-time system frameworks and use cases.
Managing and building clients around Apache Kafka can be challenging. In this talk, we will go through the best practices in deploying Apache Kafka
in production. How to Secure a Kafka Cluster, How to pick topic-partitions and upgrading to newer versions. Migrating to new Kafka Producer and Consumer API.
Also talk about the best practices involved in running a producer/consumer.
In Kafka 0.9 release, we’ve added SSL wire encryption, SASL/Kerberos for user authentication, and pluggable authorization. Now Kafka allows authentication of users, access control on who can read and write to a Kafka topic. Apache Ranger also uses pluggable authorization mechanism to centralize security for Kafka and other Hadoop ecosystem projects.
We will showcase open sourced Kafka REST API and an Admin UI that will help users in creating topics, re-assign partitions, Issuing
Kafka ACLs and monitoring Consumer offsets.
Introducing Apache Kafka - a visual overview. Presented at the Canberra Big Data Meetup 7 February 2019. We build a Kafka "postal service" to explain the main Kafka concepts, and explain how consumers receive different messages depending on whether there's a key or not.
Fundamentals and Architecture of Apache KafkaAngelo Cesaro
Fundamentals and Architecture of Apache Kafka.
This presentation explains Apache Kafka's architecture and internal design giving an overview of Kafka internal functions, including:
Brokers, Replication, Partitions, Producers, Consumers, Commit log, comparison over traditional message queues.
Unleashing Real-time Power with Kafka.pptxKnoldus Inc.
Unlock the potential of real-time data streaming with Kafka in this session. Learn the fundamentals, architecture, and seamless integration with Scala, empowering you to elevate your data processing capabilities. Perfect for developers at all levels, this hands-on experience will equip you to harness the power of real-time data streams effectively.
World of Tanks Experience of Using KafkaLevon Avakyan
In this paper I speak about BigWorld technology, WoT server, Apache Kafka and how we started to use it together. What difficulties we had and how we had solved them.
Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.
Apache Kafka - Scalable Message-Processing and more !Guido Schmutz
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. How can me make sure that all these event are accepted and forwarded in an efficient and reliable way? This is where Apache Kafaka comes into play, a distirbuted, highly-scalable messaging broker, build for exchanging huge amount of messages between a source and a target.
This session will start with an introduction into Apache and presents the role of Apache Kafka in a modern data / information architecture and the advantages it brings to the table. Additionally the Kafka ecosystem will be covered as well as the integration of Kafka in the Oracle Stack, with products such as Golden Gate, Service Bus and Oracle Stream Analytics all being able to act as a Kafka consumer or producer.
At Hootsuite, we've been transitioning from a single monolithic PHP application to a set of scalable Scala-based microservices. To avoid excessive coupling between services, we've implemented an event system using Apache Kafka that allows events to be reliably produced + consumed asynchronously from services as well as data stores.
In this presentation, I talk about:
- Why we chose Kafka
- How we set up our Kafka clusters to be scalable, highly available, and multi-data-center aware.
- How we produce + consume events
- How we ensure that events can be understood by all parts of our system (Some that are implemented in other programming languages like PHP and Python) and how we handle evolving event payload data.
Building High-Throughput, Low-Latency Pipelines in Kafkaconfluent
William Hill is one of the UK’s largest, most well-established gaming companies with a global presence across 9 countries with over 16,000 employees. In recent years the gaming industry and in particular sports betting, has been revolutionised by technology. Customers now demand a wide range of events and markets to bet on both pre-game and in-play 24/7. This has driven out a business need to process more data, provide more updates and offer more markets and prices in real time.
At William Hill, we have invested in a completely new trading platform using Apache Kafka. We process vast quantities of data from a variety of feeds, this data is fed through a variety of odds compilation models, before being piped out to UI apps for use by our trading teams to provide events, markets and pricing data out to various end points across the whole of William Hill. We deal with thousands of sporting events, each with sometimes hundreds of betting markets, each market receiving hundreds of updates. This scales up to vast numbers of messages flowing through our system. We have to process, transform and route that data in real time. Using Apache Kafka, we have built a high throughput, low latency pipeline, based on Cloud hosted Microservices. When we started, we were on a steep learning curve with Kafka, Microservices and associated technologies. This led to fast learnings and fast failings.
In this session, we will tell the story of what we built, what went well, what didn’t go so well and what we learnt. This is a story of how a team of developers learnt (and are still learning) how to use Kafka. We hope that you will be able to take away lessons and learnings of how to build a data processing pipeline with Apache Kafka.
Reducing Microservice Complexity with Kafka and Reactive Streamsjimriecken
My talk from ScalaDays 2016 in New York on May 11, 2016:
Transitioning from a monolithic application to a set of microservices can help increase performance and scalability, but it can also drastically increase complexity. Layers of inter-service network calls for add latency and an increasing risk of failure where previously only local function calls existed. In this talk, I'll speak about how to tame this complexity using Apache Kafka and Reactive Streams to:
- Extract non-critical processing from the critical path of your application to reduce request latency
- Provide back-pressure to handle both slow and fast producers/consumers
- Maintain high availability, high performance, and reliable messaging
- Evolve message payloads while maintaining backwards and forwards compatibility.
Unlocking the Power of Apache Kafka: How Kafka Listeners Facilitate Real-time...Denodo
Watch full webinar here: https://buff.ly/43PDVsz
In today's fast-paced, data-driven world, organizations need real-time data pipelines and streaming applications to make informed decisions. Apache Kafka, a distributed streaming platform, provides a powerful solution for building such applications and, at the same time, gives the ability to scale without downtime and to work with high volumes of data. At the heart of Apache Kafka lies Kafka Topics, which enable communication between clients and brokers in the Kafka cluster.
Join us for this session with Pooja Dusane, Data Engineer at Denodo where we will explore the critical role that Kafka listeners play in enabling connectivity to Kafka Topics. We'll dive deep into the technical details, discussing the key concepts of Kafka listeners, including their role in enabling real-time communication between consumers and producers. We'll also explore the various configuration options available for Kafka listeners and demonstrate how they can be customized to suit specific use cases.
Attend and Learn:
- The critical role that Kafka listeners play in enabling connectivity in Apache Kafka.
- Key concepts of Kafka listeners and how they enable real-time communication between clients and brokers.
- Configuration options available for Kafka listeners and how they can be customized to suit specific use cases.
Matteo Merli and Sijie Guo from Streamlio gave a hands-on workshop on Apache Pulsar. #fast #durable #pubsub #messaging system. A low latency alternative to #kafka.
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.
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.
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.
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.
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.
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.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
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"
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!
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
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/
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
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.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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.
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.
2. Agenda
● What is Apache Kafka?
● Why Apache Kafka?
● Fundamentals
○ Terminologies
○ Architecture
○ Protocol
● What does kafka offer?
● Where Kafka is used?
11. Birth of Kafka
Kafka decouples Data Pipelines
Source System Source System Source System Source System
Hadoop Security Systems
Real-time
monitoring
Data Warehouse
Kafka
Producers
Brokers
Consumers
14. Terminologies
• Topic is a message stream (queue)
• Partitions - Topic is divided into partitions
• Ordered, immutable, a structured commit log
• Segments - Partition has log segments on disk
• Partitions broken down into physical files.
• Offset - Segment has messages
• Each message is assigned a sequential id
24. What does kafka offer?
• Fast
• Scalable
• Durable
• Distributed by Design
25. What does kafka offer?
• Fast
• A single Kafka broker can handle 100Mbps of reads & writes from 1000 of clients.
• Scalable
• Durable
• Distributed by Design
26. What does kafka offer?
• Fast
• Scalable
• Data streams are partitioned and spread over a cluster of machines to allow data
streams larger than the capability of any single machine
• Durable
• Distributed by Design
27. What does kafka offer?
• Fast
• Scalable
• Durable
• Messages are persisted on disk and replicated within the cluster to prevent data
loss. Each broker can handle terabytes of messages without performance impact.
• Distributed by Design
28. What does kafka offer
• Fast
• Scalable
• Durable
• Distributed by Design
• Kafka has a modern cluster-centric design that offers strong durability and
fault-tolerance guarantees.
29. Efficiency - high throughput & low latency
• Disks are fast when used sequentially
• Append to end of log.
• Fetch messages from a partition beginning from a particular message id.
• Batching makes best use of network/IO
• Batched send and receive
• Batched compression (GZIP, Snappy and LZ4)
30. Efficiency - high throughput & low latency
• No message caching in JVM
• Zero-copy from file to socket (Java NIO)
34. What do people use it for?
• Activity tracking
• page views or click tracking, profile updates
• Real-time event processing
• Provides low latency
• Good integration with spark, samza. storm etc.
• Collecting Operational Metrics
• Monitoring & alerting
• Commit log
• database changes can be published to Kafka
35. Why Replication?
• Broker can go down
• controlled: rolling restart for code/config push
• uncontrolled: isolated broker failure
• If broker is down
• some partitions are unavailable
• could be permanent data loss
• Replication ensures higher availability & durability
36. Caveats
• Not designed for large payloads.
• Decoding is done for a whole message (no streaming decoding).
• Rebalancing can screw things up.
• if you're doing any aggregation in the consumer by the partition key
• Number of partitions cannot be easily changed (chose wisely).
• Lots of topics can hurt I/O performance.
37. Guarantees
• At least once delivery
• In order delivery, per partition
• For a topic with replication factor N, Kafka can tolerate up to N-1 server
failures without “losing” any messages committed to the log
38. Summary
• A high throughput distributed messaging system rethought as commit log
• Originally developed by LinkedIn, Open Sourced in 2011
• Written in Scala, Clients for every popular language
• Used by LinkedIn, Twitter, Netflix and many more companies.
• When should we use Kafka ?
• When should we not use kafka?
40. Agenda
• Kafka Clusters at @Zapr
• Kafka in AWS
• Challenges Managing Kafka Brokers.
• Monitoring of Kafka Clusters.
41. Kafka Version: 0.8.2
Total Kafka Clusters: 5
Number of Topics: 185
Brokers: 17
Partitions: 7827
Regions: 2 (us-east-1,ap-southeast-1)
Kafka at Zapr
42. Kafka Clusters on Amazon Web Services.
Quorum of 3 Zookeeper Nodes for High Availability
Kafka Brokers
43. Resource Utilization
Family Type vCPU Memory CPU Pricing
Compute
Optimized
C4.2xlarge 8 16 ~75% 338$
General
Purpose
M4.2xlarge 8 32 ~25% 366$
After moving from C4 Class to M4 Class Machines 40% Improvement in CPU Usage
45. #Default Partitions and Replication Factor for Kafka Topics
num.partitions=10
default.replication.factor=2
#Controlled shutdown for the proper shutdown of Kafka Broker for maintenance.
num.recovery.threads.per.data.dir=4
controlled.shutdown.enable=true
controlled.shutdown.max.retries=5
controlled.shutdown.retry.backoff.ms=60000
#Creation and Deletion of Kafka Topics
delete.topic.enable=true
auto.create.topics.enable=true
Production Kafka Broker
Configurations
50. Introducing Kafka Manager
https://github.com/yahoo/kafka-manager
It supports the following :
● Manage multiple clusters.
● Easy inspection of cluster state (topics, consumers, offsets, brokers)
● Generate partition assignments with option to select brokers to use
● Run reassignment of partition (based on generated assignments)
● Create a topic with optional topic configs (0.8.1.1 has different configs than 0.8.2+)
● Delete topic (only supported on 0.8.2+ and remember set delete.topic.enable=true in
broker config)
● Add partitions to existing topic
● Update config for existing topic
● Optionally enable JMX polling for broker level and topic level metrics.
61. Kafka Offset Monitoring
https://github.com/quantifind/KafkaOffsetMonitor
● This is an app to monitor your kafka consumers and their position (offset) in
the queue.
● You can see the current consumer groups, for each group the topics that they
are consuming
● Offset are useful to understand how quick you are consuming from a queue
and how fast the queue is growing
64. Future plans
• Upgrading EC2 instances to next generations from M4 to M5
• Upgrading Kafka Version from 0.8.2 to latest version (1.2)
• Using ST1 (throughput optimized HDD) EBS