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Apache Kafka is a highly distributed publish-subscribe messaging system that has been optimized for collecting and delivering high volumes of data with low latency. The designers of Kafka made some interesting design choices which distinguish it from traditional approaches to messaging systems. We are going to see what the tradeoffs are and how Kafka achieves its performance and scalability, making it suitable for implementing fast data pipelines. The presentation closes with a reference architecture for streaming systems and discusses where each and every component of the Kafka ecosystem fits in.
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Learn All Aspects Of Apache Kafka step by step, Enhance your skills & Launch Your Career, On-Demand Course for apache kafka online training visit: https://mindmajix.com/apache-kafka-training
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Kafka is most popular messaging queue. Key Areas: What is Messgaing Queue? Why Messaging Queue? Kafka- basic terminologies Kafka- Architecture (Message Flow) AWS SQS vs Apache Kafka
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Apache Kafka is a highly distributed publish-subscribe messaging system that has been optimized for collecting and delivering high volumes of data with low latency. The designers of Kafka made some interesting design choices which distinguish it from traditional approaches to messaging systems. We are going to see what the tradeoffs are and how Kafka achieves its performance and scalability, making it suitable for implementing fast data pipelines. The presentation closes with a reference architecture for streaming systems and discusses where each and every component of the Kafka ecosystem fits in.
Streaming Data with Apache Kafka
Streaming Data with Apache Kafka
Markus Günther
kafka
Apache kafka
Apache kafka
Srikrishna k
Learn All Aspects Of Apache Kafka step by step, Enhance your skills & Launch Your Career, On-Demand Course for apache kafka online training visit: https://mindmajix.com/apache-kafka-training
Apache kafka
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natashasweety7
Kafka is most popular messaging queue. Key Areas: What is Messgaing Queue? Why Messaging Queue? Kafka- basic terminologies Kafka- Architecture (Message Flow) AWS SQS vs Apache Kafka
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Mayank Bansal
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Aparna Pillai
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The session discusses on how companies are using Apache Kafka & also covers under the hood details like partitions, brokers, replication. About apache kafka: Apache Kafka is a distributed a streaming platform, Apache Kafka provides low-latency, high-throughput, fault-tolerant publish and subscribe pipelines and is able to process streams of events. Kafka provides reliable, millisecond responses to support both customer-facing applications and connecting downstream systems with real-time data.
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We recently learned about “Fault Tree Analysis” and decided to apply the technique to bulletproof our Apache Kafka deployments. In this talk, learn about fault tree analysis and what you should focus on to make your Apache Kafka clusters resilient. This talk should provide a framework for answers the following common questions a Kafka operator or user might have: What guarantees can I promise my users? What should my replication factor? What should the ISR setting be? Should I use RAID or not? Should I use external storage such as EBS or local disks?
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Kafka for JUnit enables developers to start and stop a complete Kafka cluster comprised of Kafka brokers and distributed Kafka Connect workers from within a JUnit test. It also provides a rich set of convenient accessors to interact with such an embedded or external Kafka cluster in a lean and non-obtrusive way. Kafka for JUnit can be used to both whitebox-test individual Kafka-based components of your application or to blackbox-test applications that offer an incoming and/or outgoing Kafka-based interface. This presentation gives a brief introduction into Kafka for JUnit, discussing its design principles and code examples to get developers quickly up to speed using the library.
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We recently learned about “Fault Tree Analysis” and decided to apply the technique to bulletproof our Apache Kafka deployments. In this talk, learn about fault tree analysis and what you should focus on to make your Apache Kafka clusters resilient. This talk should provide a framework for answers the following common questions a Kafka operator or user might have: -What guarantees can I promise my users? -What should my replication factor? -What should the ISR setting be? -Should I use RAID or not? -Should I use external storage such as EBS or local disks?
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Apache Kafka is a new breed of messaging system built for the "big data" world. Coming out of LinkedIn (and donated to Apache), it is a distributed pub/sub system built in Scala. It has been an Apache TLP now for several months with the first Apache release imminent. Built for speed, scalability, and robustness, Kafka should definitely be one of the data tools you consider when designing distributed data-oriented applications. The talk will cover a general overview of the project and technology, with some use cases, and a demo.
Introduction and Overview of Apache Kafka, TriHUG July 23, 2013
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Everyone knows that Cassandra is a NoSQL solution for data storage. But often for processing of this data message queues are used with some existing messaging provider. Due to this, there is inconsistency of data sometimes and an additional infrastructure level to maintain. Since one of our services stores all the data in Cassandra, we have developed a solution for message queues that automatically gained a lot of useful features: scalability, high availability and flexibility. This solution I will present in the talk.
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Building queues on distributed data stores is hard, and long been considered an antipattern. However, with careful consideration and tactics, it is possible to do. CassieQ is an implementation of a distributed queue on Cassandra which supports easy installation, massive data ingest, authentication, a simple to use HTTP based API, and no dependencies other than your already existing Cassandra environment. About the Speakers Anton Kropp Senior Software Engineer, Curalate Anton Kropp is a senior engineer with over 8 years experience building distributed and fault tolerant systems. He has worked at companies big and small (Godaddy, PracticeFusion), and enjoys building frameworks and tooling to make life easier with a penchant for dockerized containers and simple API's. When he's not messing around on his computer he's drinking local Seattle beers, zipping around the city on his electric bike, and hanging out with his wife and dog.
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Building queues on distributed data stores is hard, and long been considered an antipattern. However, with careful consideration and tactics, it is possible to do. CassieQ is an implementation of a distributed queue on Cassandra which supports easy installation, massive data ingest, authentication, a simple to use HTTP based API, and no dependencies other than your already existing Cassandra environment. About the Speakers Anton Kropp Senior Software Engineer, Curalate Anton Kropp is a senior engineer with over 8 years experience building distributed and fault tolerant systems. He has worked at companies big and small (Godaddy, PracticeFusion), and enjoys building frameworks and tooling to make life easier with a penchant for dockerized containers and simple API's. When he's not messing around on his computer he's drinking local Seattle beers, zipping around the city on his electric bike, and hanging out with his wife and dog.
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No sql
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Intro slides from http://nosql.net event (Jun 11, 09)
Design Patterns for Distributed Non-Relational Databases
Design Patterns for Distributed Non-Relational Databases
guestdfd1ec
The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data.Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages. http://tyfs.rocks
Why Cassandra?
Why Cassandra?
Tayfun Sevimli
Aws for Startups Building Cloud Enabled Apps
Aws for Startups Building Cloud Enabled Apps
Amazon Web Services
Intro to Cassandra and working with Python
Cassandra & Python - Springfield MO User Group
Cassandra & Python - Springfield MO User Group
Adam Hutson
A brief introduction to messaging for the web, and the new RestMS protocol specification. Presented at FOSDEM 2009.
RestMS Introduction
RestMS Introduction
pieterh
Break Out Session
RedisConf18 - Scalable Microservices with Event Sourcing and Redis
RedisConf18 - Scalable Microservices with Event Sourcing and Redis
Redis Labs
Activity Sensors and IoT devices generate large amount of data. How to make sense of the data in real time?
How to extract valueable information from real time data feeds
How to extract valueable information from real time data feeds
Gene Leybzon
Eventing and streaming open a world of compelling new possibilities to our software and platform designs. They can reduce time to decision and action while lowering total platform cost. But they are not a panacea. Understanding the edges and limits of these architectures can help you avoid painful missteps. This talk will focus on event driven and streaming architectures and how Apache Kafka can help you implement these. It will also discuss key tradeoffs you will face along the way from partitioning schemes to the impact of availability vs. consistency (CAP Theorem). Finally we’ll discuss some challenges of scale for patterns like Event Sourcing and how you can use other tools and even features of Kafka to work around them. This talk assumes a basic understanding of Kafka and distributed computing, but will include brief refresher sections.
Hard Truths About Streaming and Eventing (Dan Rosanova, Microsoft) Kafka Summ...
Hard Truths About Streaming and Eventing (Dan Rosanova, Microsoft) Kafka Summ...
confluent
No sql
No sql
Shruti_gtbit
Asynchronous Service Server
Asynchronous Service Server
guestbba9241
Similar a Cassandra queuing
(20)
Learn Cassandra at edureka!
Learn Cassandra at edureka!
Spinnaker VLDB 2011
Spinnaker VLDB 2011
NoSql Database
NoSql Database
Cassandra architecture
Cassandra architecture
Design Patterns For Distributed NO-reational databases
Design Patterns For Distributed NO-reational databases
Rabbitmq & Kafka Presentation
Rabbitmq & Kafka Presentation
Cassandra
Cassandra
Migrating Oracle database to Cassandra
Migrating Oracle database to Cassandra
Data Consitency Patterns in Cloud Native Applications
Data Consitency Patterns in Cloud Native Applications
No sql
No sql
Design Patterns for Distributed Non-Relational Databases
Design Patterns for Distributed Non-Relational Databases
Why Cassandra?
Why Cassandra?
Aws for Startups Building Cloud Enabled Apps
Aws for Startups Building Cloud Enabled Apps
Cassandra & Python - Springfield MO User Group
Cassandra & Python - Springfield MO User Group
RestMS Introduction
RestMS Introduction
RedisConf18 - Scalable Microservices with Event Sourcing and Redis
RedisConf18 - Scalable Microservices with Event Sourcing and Redis
How to extract valueable information from real time data feeds
How to extract valueable information from real time data feeds
Hard Truths About Streaming and Eventing (Dan Rosanova, Microsoft) Kafka Summ...
Hard Truths About Streaming and Eventing (Dan Rosanova, Microsoft) Kafka Summ...
No sql
No sql
Asynchronous Service Server
Asynchronous Service Server
Más de David Timothy Strauss
As presented at the San Francisco Drupal Users Group: https://www.meetup.com/SFDUG-San-Francisco-Drupal-Users-group/events/241098139/
Advanced Drupal 8 Caching
Advanced Drupal 8 Caching
David Timothy Strauss
Scalable caching in Drupal is broken. Once cache access saturates a network link, the main options are Memcache sharding (which has broken coherency during and after network splits) and Redis clustering (immature in multi-master and as complex as MySQL replication in master/replica modes). We can do better. We can have better performance, scale, and operational simplicity. We just need to take a lesson from multicore processor architectures and their use of L1/L2 caches. Drupal doesn't even need full-scale coherency management; it just needs the cache writes on an earlier request to be guaranteed readable on a later request.
LCache DrupalCon Dublin 2016
LCache DrupalCon Dublin 2016
David Timothy Strauss
Security is a basic requirement of modern applications, and developers are increasingly using containers in their development work. In this presentation, we explore the basic components of secure design (preparation, detection, and containment), how containers facilitate that work today (verification), and how container orchestration ought to support models of the future, especially ones that are hard to roll manually (PKI).
Container Security via Monitoring and Orchestration - Container Security Summit
Container Security via Monitoring and Orchestration - Container Security Summit
David Timothy Strauss
How vulnerable are your systems after the first line of defense? Do attackers get a stronger foothold after each compromise? How valuable is the data your systems can leak? “Death Star” security describes a system that relies entirely on an outermost security layer and fails catastrophically when breached. As services multiply, they shouldn’t all run in a single, trusted virtual private cloud. Sharing secrets doesn’t scale either, as systems multiply and partners integrate with your product and users. David Strauss explores security methods strong enough to cross the public Internet, flexible enough to allow new services without altering existing systems, and robust enough to avoid single points of failure. David covers the basics of public key infrastructure (PKI), explaining how PKI uniquely supports security and high availability, and demonstrates how to deploy mutual authentication and encryption across a heterogeneous infrastructure, use capability-based security, and use federated identity to provide a uniform frontend experience while still avoiding monolithic backends. David also explores JSON Web Tokens as a solution to session woes, distributing user data and trust without sharing backend persistence. A good written summary of the key talking points: https://www.infoq.com/news/2016/04/oreilysacon-day-one
Don't Build "Death Star" Security - O'Reilly Software Architecture Conference...
Don't Build "Death Star" Security - O'Reilly Software Architecture Conference...
David Timothy Strauss
Most Linux distributions now feature systemd at their core. This presentation shows how to leverage it for your own services -- all the way from the most basic, two-line service configuration to advanced resource and security options.
Effective service and resource management with systemd
Effective service and resource management with systemd
David Timothy Strauss
Historically, sharing a Linux server entailed all kinds of untenable compromises. In addition to the security concerns, there was simply no good way to keep one application from hogging resources and messing with the others. The classic “noisy neighbor” problem made shared systems the bargain-basement slums of the Internet, suitable only for small or throwaway projects. Serious use-cases traditionally demanded dedicated systems. Over the past decade virtualization (in conjunction with Moore’s law) has democratized the availability of what amount to dedicated systems, and the result is hundreds of thousands of websites and applications deployed into VPS or cloud instances. It’s a step in the right direction, but still has glaring flaws. Most of these websites are just piles of code sitting on a server somewhere. How did that code got there? How can it can be scaled? Secured? Maintained? It’s anybody’s guess. There simply isn’t enough SysAdmin talent in the world to meet the demands of managing all these apps with anything close to best practices without a better model. Containers are a whole new ballgame. Unlike VMs, you skip the overhead of running an entire OS for every application environment. There’s also no need to provision a whole new machine to have a place to deploy, meaning you can spin up or scale your application with orders of magnitude more speed and accuracy.
Containers > VMs
Containers > VMs
David Timothy Strauss
Mixing performance, configurability, density, and security at scale has, historically, been hard with PHP. Early approaches have involved CGIs, suhosin, or multiple Apache instances. Then came PHP-FPM. At Pantheon, we've taken PHP-FPM, integrated it with cgroups, namespaces, and systemd socket activation. We use it to deliver all of our goals at unheard-of densities: thousands and thousands of isolated pools per box.
PHP at Density and Scale (Lone Star PHP 2014)
PHP at Density and Scale (Lone Star PHP 2014)
David Timothy Strauss
Mixing performance, configurability, density, and security at scale has, historically, been hard with PHP. Early approaches have involved CGIs, suhosin, or multiple Apache instances. Then came PHP-FPM. At Pantheon, we've taken PHP-FPM, integrated it with cgroups, namespaces, and systemd socket activation. We use it to deliver all of our goals at unheard-of densities: thousands and thousands of isolated pools per box. Watch how it's configured and see PHP-FPM pools start real-time to serve different Drupal sites as requests come into a server. All of our tools for this are open-source and usable on your own virtual machines and hardware.
PHP at Density and Scale
PHP at Density and Scale
David Timothy Strauss
PHP at Density and Scale
PHP at Density and Scale
David Timothy Strauss
Learn more about Pantheon at the Developer Open House Presented by Kyle Mathews and Josh Koenig Thursday, February 14th, 12PM PST Sign up: http://tinyurl.com/a3ofpc2 (Title background is "View of the Valhalla near Regensburg" from the Hermitage Museum.)
Valhalla at Pantheon
Valhalla at Pantheon
David Timothy Strauss
P
Cassandra-Powered Distributed DNS
Cassandra-Powered Distributed DNS
David Timothy Strauss
Presented at DrupalCamp Stockholm 2009 (2009-05-30)
Scalable Drupal Infrastructure
Scalable Drupal Infrastructure
David Timothy Strauss
Presented at PHP Tek-X (2010)
Planning LAMP infrastructure
Planning LAMP infrastructure
David Timothy Strauss
Presented at DrupalCamp Stockholm 2009 (2009-05-29)
Is Drupal Secure?
Is Drupal Secure?
David Timothy Strauss
Más de David Timothy Strauss
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Advanced Drupal 8 Caching
Advanced Drupal 8 Caching
LCache DrupalCon Dublin 2016
LCache DrupalCon Dublin 2016
Container Security via Monitoring and Orchestration - Container Security Summit
Container Security via Monitoring and Orchestration - Container Security Summit
Don't Build "Death Star" Security - O'Reilly Software Architecture Conference...
Don't Build "Death Star" Security - O'Reilly Software Architecture Conference...
Effective service and resource management with systemd
Effective service and resource management with systemd
Containers > VMs
Containers > VMs
PHP at Density and Scale (Lone Star PHP 2014)
PHP at Density and Scale (Lone Star PHP 2014)
PHP at Density and Scale
PHP at Density and Scale
PHP at Density and Scale
PHP at Density and Scale
Valhalla at Pantheon
Valhalla at Pantheon
Cassandra-Powered Distributed DNS
Cassandra-Powered Distributed DNS
Scalable Drupal Infrastructure
Scalable Drupal Infrastructure
Planning LAMP infrastructure
Planning LAMP infrastructure
Is Drupal Secure?
Is Drupal Secure?
Último
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Zilliz
Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
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This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
AXA XL - Insurer Innovation Award 2024
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
The Digital Insurer
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
Scalable LLM APIs for AI and Generative AI Application Development Ettikan Karuppiah, Director/Technologist - NVIDIA Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
apidays
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
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FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Cassandra queuing
1.
Queuing with Cassandra
David Strauss [email_address] @davidstrauss
2.
3.
Integrate legacy and
new systems
4.
5.
Of systems using
the queue
6.
Possible queue guarantees
Deliver exactly once Deliver at least once Deliver no more than once + =
7.
8.
9.
10.
11.
12.
No persistence between
restarts
13.
14.
15.
Application-integrated sharding doesn't
count
16.
17.
18.
19.
20.
Provides message ordering
21.
22.
23.
24.
Give messages unique
identity and use locking managed by consumers
25.
Use a locking
framework like Zookeeper
26.
Audit periodically for
the effects of duplication and correct
27.
Maybe don't use
Cassandra...
28.
29.
30.
Too much message
volume to handle throughput on a single node
31.
Willingness to poll
and have high latency
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