Unlocking the Power of IoT: A comprehensive approach to real-time insightsconfluent
In today's data-driven world, the Internet of Things (IoT) is revolutionizing industries and unlocking new possibilities. Join Data Reply, Confluent, and Imply as we unveil a comprehensive solution for IoT that harnesses the power of real-time insights.
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
In our exclusive webinar, you'll learn why event-driven architecture is the key to unlocking cost efficiency, operational effectiveness, and profitability. Gain insights on how this approach differs from API-driven methods and why it's essential for your organization's success.
This document discusses moving to an event-driven architecture using Confluent. It begins by outlining some of the limitations of traditional messaging middleware approaches. Confluent provides benefits like stream processing, persistence, scalability and reliability while avoiding issues like lack of structure, slow consumers, and technical debt. The document then discusses how Confluent can help modernize architectures, enable new real-time use cases, and reduce costs through migration. It provides examples of how companies like Advance Auto Parts and Nord/LB have benefitted from implementing Confluent platforms.
Confluent Partner Tech Talk with Synthesisconfluent
A discussion on the arduous planning process, and deep dive into the design/architectural decisions.
Learn more about the networking, RBAC strategies, the automation, and the deployment plan.
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
Confluent Partner Tech Talk with BearingPointconfluent
This document discusses best practices for debugging client applications in Kafka streams. It begins by asking a question about debugging practices for producers, consumers, and Kafka streams applications. It then describes a Partner Technical Sales Enablement offering that includes live sessions and on-demand learning paths on topics like Confluent fundamentals and use cases. It outlines additional support for partners through technical workshops, coaching, and solution discovery sessions. The document concludes by stating the goal of Partner Tech Talks is to provide insights and inspiration through use case discussions.
SVA discusses the opportunities and challenges they have encountered during their journey with customers, using mainframe offloading projects as an example.
This document summarizes a Partner Connect Asia Pacific event hosted by Confluent. The agenda included welcome remarks and company updates from the Director of Partner Success APJ, as well as fireside chats with other Confluent leaders on topics like AWS Marketplace, product updates, and sales. There were also presentations on Confluent's growth, the rise of event streaming, upcoming product features, and a customer 360 demo. The event provided partners with information to help grow their businesses through Confluent's event streaming platform.
Unlocking the Power of IoT: A comprehensive approach to real-time insightsconfluent
In today's data-driven world, the Internet of Things (IoT) is revolutionizing industries and unlocking new possibilities. Join Data Reply, Confluent, and Imply as we unveil a comprehensive solution for IoT that harnesses the power of real-time insights.
Catch the Wave: SAP Event-Driven and Data Streaming for the Intelligence Ente...confluent
In our exclusive webinar, you'll learn why event-driven architecture is the key to unlocking cost efficiency, operational effectiveness, and profitability. Gain insights on how this approach differs from API-driven methods and why it's essential for your organization's success.
This document discusses moving to an event-driven architecture using Confluent. It begins by outlining some of the limitations of traditional messaging middleware approaches. Confluent provides benefits like stream processing, persistence, scalability and reliability while avoiding issues like lack of structure, slow consumers, and technical debt. The document then discusses how Confluent can help modernize architectures, enable new real-time use cases, and reduce costs through migration. It provides examples of how companies like Advance Auto Parts and Nord/LB have benefitted from implementing Confluent platforms.
Confluent Partner Tech Talk with Synthesisconfluent
A discussion on the arduous planning process, and deep dive into the design/architectural decisions.
Learn more about the networking, RBAC strategies, the automation, and the deployment plan.
In this presentation, we show how Data Reply helped an Austrian fintech customer to overcome previous performance limitations in their data analytics landscape, leverage real-time pipelines, break down monoliths, and foster a self-service data culture to enable new event-driven and business-critical use cases.
Confluent Partner Tech Talk with BearingPointconfluent
This document discusses best practices for debugging client applications in Kafka streams. It begins by asking a question about debugging practices for producers, consumers, and Kafka streams applications. It then describes a Partner Technical Sales Enablement offering that includes live sessions and on-demand learning paths on topics like Confluent fundamentals and use cases. It outlines additional support for partners through technical workshops, coaching, and solution discovery sessions. The document concludes by stating the goal of Partner Tech Talks is to provide insights and inspiration through use case discussions.
SVA discusses the opportunities and challenges they have encountered during their journey with customers, using mainframe offloading projects as an example.
This document summarizes a Partner Connect Asia Pacific event hosted by Confluent. The agenda included welcome remarks and company updates from the Director of Partner Success APJ, as well as fireside chats with other Confluent leaders on topics like AWS Marketplace, product updates, and sales. There were also presentations on Confluent's growth, the rise of event streaming, upcoming product features, and a customer 360 demo. The event provided partners with information to help grow their businesses through Confluent's event streaming platform.
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
Whitepaper: Volume Testing Thick Clients and DatabasesRTTS
Even in the current age of cloud computing there are still endless benefits of developing thick client software: non-dependency on browser version, offline support, low hosting fees, and utilizing existing end user hardware, to name a few.
It's more than likely that your organization is utilizing at least a few thick client applications. Now consider this: as your user base grows, does your think client's back-end server need to grow as well? How quickly? How do you ensure that you provide the correct amount of additional capacity without overstepping and unnecessarily eating into your profits? The answer is volume testing.
Read how RTTS does this with IBM Rational Performance Tester.
In this fireside chat, Balaji and Brian discuss the evolution of the monitoring and observability industry, the role that InfluxDB plays and a look at how one customer is using InfluxDB in their solution.
Datadog introduces a new Application Performance Monitoring (APM) tool that provides full-stack observability of customer experience and digital transformations. The APM allows users to monitor web applications and cloud infrastructure from a single platform, providing insights across development, operations, and business teams. It provides benefits like root-cause analysis across infrastructure and code levels to reduce mean-time-to-resolution for issues. Feedback from beta customers was positive and highlighted the value of combining APM with Datadog's existing infrastructure monitoring capabilities.
ConnectED2015: IBM Domino Applications in BluemixMartin Donnelly
IBM ConnectED 2015 Abstract:
This session will show how Bluemix enables you to deploy Domino applications to the cloud in a matter of minutes. We will demonstrate how to leverage Bluemix buildpacks like XPages and Node.js both to modernize Domino applications and to give them a new home on a highly scalable and resilient PaaS. You will learn how to mix and match Bluemix runtimes and services to create Domino cloud apps rapidly, stage them privately and put them into production. You'll see how to use cutting edge tooling to monitor and manage your apps. This is the future.
How to Migrate Applications Off a MainframeVMware Tanzu
Ah, the mainframe. Peel back many transactional business applications at any enterprise and you’ll find a mainframe application under there. It’s often where the crown jewels of the business’ data and core transactions are processed. The tooling for these applications is dated and new code is infrequent, but moving off is seen as risky. No one. Wants. To. Touch. Mainframes.
But mainframe applications don’t have to be the electric third rail. Modernizing, even pieces of those mainframe workloads into modern frameworks on modern platforms, has huge payoffs. Developers can gain all the productivity benefits of modern tooling. Not to mention the scaling, security, and cost benefits.
So, how do you get started modernizing applications off a mainframe? Join Rohit Kelapure, Consulting Practice Lead at Pivotal, as he shares lessons from projects with enterprises to move workloads off of mainframes. You’ll learn:
● How to decide what to modernize first by looking at business requirements AND the existing codebase
● How to take a test-driven approach to minimize risks in decomposing the mainframe application
● What to use as a replacement or evolution of mainframe schedulers
● How to include COBOL and other mainframe developers in the process to retain institutional knowledge and defuse project detractors
● How to replatform mainframe applications to the cloud leveraging a spectrum of techniques
Presenter : Rohit Kelapure, Consulting Practice Lead, Pivotal
Wavefront is a modern analytics and observability platform that provides unified visibility across cloud infrastructure and applications. It offers real-time monitoring of metrics, traces, and logs, powerful analytics capabilities, and automated anomaly detection. Some key benefits include dramatically reducing mean time to detection and resolution of issues, improving collaboration across distributed teams, and accelerating innovation through self-service capabilities.
Data Streaming with Apache Kafka & MongoDBconfluent
Explore the use-cases and architecture for Apache Kafka, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.
DevOps as a Service - our own true story with a happy ending (JuCParis 2018)Philippe Ensarguet
Keynote of the 2nd Jenkins User Conference in Paris
Even if we are doing software since tens of years, Digital has definitively change the pace of its delivery and lifecycle ! When you're working in a corporate with thousands of people doing software as software editors or service integrators on tens of technical ecosystems, it make sense to have a corporate vision and propose software factories that will enabled coherency of tools and practices to deliver quality, efficiency and productivity of the delivery, at scale. In this session, the core idea is to share our own true story from 0 to DevOps as a Service and Software Data-Driven Cockpit, to setup on the fly software factories in aaS mode and monitor the production effort. #JuCParis #JenkinsUserConference
Digital Business Transformation in the Streaming EraAttunity
Enterprises are rapidly adopting stream computing backbones, in-memory data stores, change data capture, and other low-latency approaches for end-to-end applications. As businesses modernize their data architectures over the next several years, they will begin to evolve toward all-streaming architectures. In this webcast, Wikibon, Attunity, and MemSQL will discuss how enterprise data professionals should migrate their legacy architectures in this direction. They will provide guidance for migrating data lakes, data warehouses, data governance, and transactional databases to support all-streaming architectures for complex cloud and edge applications. They will discuss how this new architecture will drive enterprise strategies for operationalizing artificial intelligence, mobile computing, the Internet of Things, and cloud-native microservices.
Link to the Wikibon report - wikibon.com/wikibons-2018-big-data-analytics-trends-forecast
Link to Attunity Streaming CDC Book Download - http://www.bit.ly/cdcbook
Link to MemSQL's Free Data Pipeline Book - http://go.memsql.com/oreilly-data-pipelines
Confluent provides a platform for modernizing enterprise messaging infrastructure by leveraging Kafka. Kafka uses an immutable log to share data across producers and consumers in a scalable, fault-tolerant, and efficient manner. This allows enterprises to build real-time applications and enable data-in-motion across the organization. Confluent offers tools like Schema Registry, ksqlDB, and connectors to help standardize data, build stream processing applications, and integrate Kafka with other systems.
AWS Partner: Grindr: Aggregate, Analyze, and Act on 900M Daily API CallsAmazon Web Services
Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
A DevOps Playbook at DraftKings Built with New Relic and AWSAmazon Web Services
DraftKings uses New Relic and AWS to enable a DevOps culture of continuous delivery. New Relic provides DraftKings with observability across their stack from customers to code to infrastructure. This allows DraftKings to rapidly deploy new features, understand performance issues, and ensure engineering teams are accountable. DraftKings leverages AWS services for infrastructure as code and microservices. The collaboration between New Relic and AWS provides DraftKings insights and dashboards to monitor applications and services in real-time, empowering faster innovation.
Reduce Risk with End to End Monitoring of Middleware-based ApplicationsSL Corporation
Kafka communicates within a larger complex and evolving environment. The current modular approach to the integration means that the structure of the software stack is much more dynamic than in the past and operators no longer have the time to become intimate with how dependent components interact. The number of dependencies combined with lack of familiarity can create significant risks to the business including increased outages and longer time to resolve incidents. Both can result in loss of revenue and customers.
These risks are significantly reduced by applying best-practice monitoring. Monitoring can provide a complete end-to-end view of the touch points within the application flow, so they are presented in comprehensive service-based views. This provides the user with a true single-pane of glass for monitoring and alerting for Kafka and its dependent technologies.
Contino Webinar - Migrating your Trading Workloads to the CloudBen Saunders
Benjamin Wootton, Contino Co-founder and CTO with a decade of IB experience, and Ben Saunders, experienced FIS DevOps consultant, will explore how our DevOps framework (Continuum) can help you move to the cloud as quickly and easily as possible.
This webinar covers:
The foundations for migrating trading apps and data to the cloud swiftly and safely
Ensuring compliance with regulatory controls
Architecting and optimizing your trading applications for optimal cloud performance
Integrating tools and processes to streamline app and data migration
IIBA® Sydney Unlocking the Power of Low Code No Code: Why BAs Hold the KeyAustraliaChapterIIBA
Unlocking the Power of Low Code No Code: Why Business Analysts Hold the Key
Join us for an upcoming virtual event to explore how business analysts can drive low code no code adoption within their organisations. Taking place on Wednesday 29th March at 6pm - 7pm AEDT, this event is a must-attend for Australian businesses looking to simplify processes, reduce costs, and achieve more with less using low code and no code strategies.
According to Gartner, the low code development platform market is predicted to grow at a pace of 23% through 2026, reaching $23.3 billion in revenue. As digital transformation continues to accelerate and skilled developers remain in short supply, the adoption of low code and no code is set to soar in the coming years.
Hear from industry experts from Microsoft Power Platform and Increment as they discuss the latest trends in low code and no code adoption, the benefits of these platforms, and the pivotal role that business analysts play in driving their adoption. Discover how the Business Analyst is uniquely positioned to spearhead the success of low code no code by streamlining operations, automating processes, speeding up time to market, and improving ROI.
WebFest 2011 Hosting Applications CR by David TangSpiffy
David Tang, a Product Marketing Manager at Microsoft Singapore, discussed how customers can expand their services from on-premise to hosted to cloud solutions using Microsoft technologies. He outlined scenarios for publishing a website and editing a live site remotely. The presentation promoted Microsoft's cloud computing landscape including Infrastructure as a Service, Platform as a Service and Software as a Service. It also covered emerging IT roles and skill sets needed for working with cloud technologies.
Join David Lover as he discusses Unified Communications. Maybe you’re wondering what UC is all about, or maybe you want to dive deeper into how you can utilize it to impact innovation in your business.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
Whitepaper: Volume Testing Thick Clients and DatabasesRTTS
Even in the current age of cloud computing there are still endless benefits of developing thick client software: non-dependency on browser version, offline support, low hosting fees, and utilizing existing end user hardware, to name a few.
It's more than likely that your organization is utilizing at least a few thick client applications. Now consider this: as your user base grows, does your think client's back-end server need to grow as well? How quickly? How do you ensure that you provide the correct amount of additional capacity without overstepping and unnecessarily eating into your profits? The answer is volume testing.
Read how RTTS does this with IBM Rational Performance Tester.
In this fireside chat, Balaji and Brian discuss the evolution of the monitoring and observability industry, the role that InfluxDB plays and a look at how one customer is using InfluxDB in their solution.
Datadog introduces a new Application Performance Monitoring (APM) tool that provides full-stack observability of customer experience and digital transformations. The APM allows users to monitor web applications and cloud infrastructure from a single platform, providing insights across development, operations, and business teams. It provides benefits like root-cause analysis across infrastructure and code levels to reduce mean-time-to-resolution for issues. Feedback from beta customers was positive and highlighted the value of combining APM with Datadog's existing infrastructure monitoring capabilities.
ConnectED2015: IBM Domino Applications in BluemixMartin Donnelly
IBM ConnectED 2015 Abstract:
This session will show how Bluemix enables you to deploy Domino applications to the cloud in a matter of minutes. We will demonstrate how to leverage Bluemix buildpacks like XPages and Node.js both to modernize Domino applications and to give them a new home on a highly scalable and resilient PaaS. You will learn how to mix and match Bluemix runtimes and services to create Domino cloud apps rapidly, stage them privately and put them into production. You'll see how to use cutting edge tooling to monitor and manage your apps. This is the future.
How to Migrate Applications Off a MainframeVMware Tanzu
Ah, the mainframe. Peel back many transactional business applications at any enterprise and you’ll find a mainframe application under there. It’s often where the crown jewels of the business’ data and core transactions are processed. The tooling for these applications is dated and new code is infrequent, but moving off is seen as risky. No one. Wants. To. Touch. Mainframes.
But mainframe applications don’t have to be the electric third rail. Modernizing, even pieces of those mainframe workloads into modern frameworks on modern platforms, has huge payoffs. Developers can gain all the productivity benefits of modern tooling. Not to mention the scaling, security, and cost benefits.
So, how do you get started modernizing applications off a mainframe? Join Rohit Kelapure, Consulting Practice Lead at Pivotal, as he shares lessons from projects with enterprises to move workloads off of mainframes. You’ll learn:
● How to decide what to modernize first by looking at business requirements AND the existing codebase
● How to take a test-driven approach to minimize risks in decomposing the mainframe application
● What to use as a replacement or evolution of mainframe schedulers
● How to include COBOL and other mainframe developers in the process to retain institutional knowledge and defuse project detractors
● How to replatform mainframe applications to the cloud leveraging a spectrum of techniques
Presenter : Rohit Kelapure, Consulting Practice Lead, Pivotal
Wavefront is a modern analytics and observability platform that provides unified visibility across cloud infrastructure and applications. It offers real-time monitoring of metrics, traces, and logs, powerful analytics capabilities, and automated anomaly detection. Some key benefits include dramatically reducing mean time to detection and resolution of issues, improving collaboration across distributed teams, and accelerating innovation through self-service capabilities.
Data Streaming with Apache Kafka & MongoDBconfluent
Explore the use-cases and architecture for Apache Kafka, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.
DevOps as a Service - our own true story with a happy ending (JuCParis 2018)Philippe Ensarguet
Keynote of the 2nd Jenkins User Conference in Paris
Even if we are doing software since tens of years, Digital has definitively change the pace of its delivery and lifecycle ! When you're working in a corporate with thousands of people doing software as software editors or service integrators on tens of technical ecosystems, it make sense to have a corporate vision and propose software factories that will enabled coherency of tools and practices to deliver quality, efficiency and productivity of the delivery, at scale. In this session, the core idea is to share our own true story from 0 to DevOps as a Service and Software Data-Driven Cockpit, to setup on the fly software factories in aaS mode and monitor the production effort. #JuCParis #JenkinsUserConference
Digital Business Transformation in the Streaming EraAttunity
Enterprises are rapidly adopting stream computing backbones, in-memory data stores, change data capture, and other low-latency approaches for end-to-end applications. As businesses modernize their data architectures over the next several years, they will begin to evolve toward all-streaming architectures. In this webcast, Wikibon, Attunity, and MemSQL will discuss how enterprise data professionals should migrate their legacy architectures in this direction. They will provide guidance for migrating data lakes, data warehouses, data governance, and transactional databases to support all-streaming architectures for complex cloud and edge applications. They will discuss how this new architecture will drive enterprise strategies for operationalizing artificial intelligence, mobile computing, the Internet of Things, and cloud-native microservices.
Link to the Wikibon report - wikibon.com/wikibons-2018-big-data-analytics-trends-forecast
Link to Attunity Streaming CDC Book Download - http://www.bit.ly/cdcbook
Link to MemSQL's Free Data Pipeline Book - http://go.memsql.com/oreilly-data-pipelines
Confluent provides a platform for modernizing enterprise messaging infrastructure by leveraging Kafka. Kafka uses an immutable log to share data across producers and consumers in a scalable, fault-tolerant, and efficient manner. This allows enterprises to build real-time applications and enable data-in-motion across the organization. Confluent offers tools like Schema Registry, ksqlDB, and connectors to help standardize data, build stream processing applications, and integrate Kafka with other systems.
AWS Partner: Grindr: Aggregate, Analyze, and Act on 900M Daily API CallsAmazon Web Services
Monitoring and making sense of infrastructure data can be an arduous process. Managing a volume of API calls from more than one million active users every minute presents an even more complex and demanding challenge. Using Amazon Web Services (AWS) and Datadog, Grindr overcame a series of infrastructure challenges by both implementing and managing highly scalable, high availability, and top performing infrastructure, as well as aggregating, analyzing, and acting on key infrastructure data KPIs.
A DevOps Playbook at DraftKings Built with New Relic and AWSAmazon Web Services
DraftKings uses New Relic and AWS to enable a DevOps culture of continuous delivery. New Relic provides DraftKings with observability across their stack from customers to code to infrastructure. This allows DraftKings to rapidly deploy new features, understand performance issues, and ensure engineering teams are accountable. DraftKings leverages AWS services for infrastructure as code and microservices. The collaboration between New Relic and AWS provides DraftKings insights and dashboards to monitor applications and services in real-time, empowering faster innovation.
Reduce Risk with End to End Monitoring of Middleware-based ApplicationsSL Corporation
Kafka communicates within a larger complex and evolving environment. The current modular approach to the integration means that the structure of the software stack is much more dynamic than in the past and operators no longer have the time to become intimate with how dependent components interact. The number of dependencies combined with lack of familiarity can create significant risks to the business including increased outages and longer time to resolve incidents. Both can result in loss of revenue and customers.
These risks are significantly reduced by applying best-practice monitoring. Monitoring can provide a complete end-to-end view of the touch points within the application flow, so they are presented in comprehensive service-based views. This provides the user with a true single-pane of glass for monitoring and alerting for Kafka and its dependent technologies.
Contino Webinar - Migrating your Trading Workloads to the CloudBen Saunders
Benjamin Wootton, Contino Co-founder and CTO with a decade of IB experience, and Ben Saunders, experienced FIS DevOps consultant, will explore how our DevOps framework (Continuum) can help you move to the cloud as quickly and easily as possible.
This webinar covers:
The foundations for migrating trading apps and data to the cloud swiftly and safely
Ensuring compliance with regulatory controls
Architecting and optimizing your trading applications for optimal cloud performance
Integrating tools and processes to streamline app and data migration
IIBA® Sydney Unlocking the Power of Low Code No Code: Why BAs Hold the KeyAustraliaChapterIIBA
Unlocking the Power of Low Code No Code: Why Business Analysts Hold the Key
Join us for an upcoming virtual event to explore how business analysts can drive low code no code adoption within their organisations. Taking place on Wednesday 29th March at 6pm - 7pm AEDT, this event is a must-attend for Australian businesses looking to simplify processes, reduce costs, and achieve more with less using low code and no code strategies.
According to Gartner, the low code development platform market is predicted to grow at a pace of 23% through 2026, reaching $23.3 billion in revenue. As digital transformation continues to accelerate and skilled developers remain in short supply, the adoption of low code and no code is set to soar in the coming years.
Hear from industry experts from Microsoft Power Platform and Increment as they discuss the latest trends in low code and no code adoption, the benefits of these platforms, and the pivotal role that business analysts play in driving their adoption. Discover how the Business Analyst is uniquely positioned to spearhead the success of low code no code by streamlining operations, automating processes, speeding up time to market, and improving ROI.
WebFest 2011 Hosting Applications CR by David TangSpiffy
David Tang, a Product Marketing Manager at Microsoft Singapore, discussed how customers can expand their services from on-premise to hosted to cloud solutions using Microsoft technologies. He outlined scenarios for publishing a website and editing a live site remotely. The presentation promoted Microsoft's cloud computing landscape including Infrastructure as a Service, Platform as a Service and Software as a Service. It also covered emerging IT roles and skill sets needed for working with cloud technologies.
Join David Lover as he discusses Unified Communications. Maybe you’re wondering what UC is all about, or maybe you want to dive deeper into how you can utilize it to impact innovation in your business.
Similar to Speed Wins: From Kafka to APIs in Minutes (20)
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Santander Stream Processing with Apache Flinkconfluent
Flink is becoming the de facto standard for stream processing due to its scalability, performance, fault tolerance, and language flexibility. It supports stream processing, batch processing, and analytics through one unified system. Developers choose Flink for its robust feature set and ability to handle stream processing workloads at large scales efficiently.
Workshop híbrido: Stream Processing con Flinkconfluent
El Stream processing es un requisito previo de la pila de data streaming, que impulsa aplicaciones y pipelines en tiempo real.
Permite una mayor portabilidad de datos, una utilización optimizada de recursos y una mejor experiencia del cliente al procesar flujos de datos en tiempo real.
En nuestro taller práctico híbrido, aprenderás cómo filtrar, unir y enriquecer fácilmente datos en tiempo real dentro de Confluent Cloud utilizando nuestro servicio Flink sin servidor.
Industry 4.0: Building the Unified Namespace with Confluent, HiveMQ and Spark...confluent
Our talk will explore the transformative impact of integrating Confluent, HiveMQ, and SparkPlug in Industry 4.0, emphasizing the creation of a Unified Namespace.
In addition to the creation of a Unified Namespace, our webinar will also delve into Stream Governance and Scaling, highlighting how these aspects are crucial for managing complex data flows and ensuring robust, scalable IIoT-Platforms.
You will learn how to ensure data accuracy and reliability, expand your data processing capabilities, and optimize your data management processes.
Don't miss out on this opportunity to learn from industry experts and take your business to the next level.
La arquitectura impulsada por eventos (EDA) será el corazón del ecosistema de MAPFRE. Para seguir siendo competitivas, las empresas de hoy dependen cada vez más del análisis de datos en tiempo real, lo que les permite obtener información y tiempos de respuesta más rápidos. Los negocios con datos en tiempo real consisten en tomar conciencia de la situación, detectar y responder a lo que está sucediendo en el mundo ahora.
Eventos y Microservicios - Santander TechTalkconfluent
Durante esta sesión examinaremos cómo el mundo de los eventos y los microservicios se complementan y mejoran explorando cómo los patrones basados en eventos nos permiten descomponer monolitos de manera escalable, resiliente y desacoplada.
Q&A with Confluent Experts: Navigating Networking in Confluent Cloudconfluent
This document discusses networking options and best practices for Confluent Cloud. It provides an overview of public endpoints, private link, and peering options. It then discusses best practices for private networking architectures on Azure using hub-and-spoke and private link designs. Finally, it addresses networking considerations and challenges for Kafka Connect managed connectors, as well as planned enhancements for DNS peering and outbound private link support.
Purpose of the session is to have a dive into Apache, Kafka, Data Streaming and Kafka in the cloud
- Dive into Apache Kafka
- Data Streaming
- Kafka in the cloud
Build real-time streaming data pipelines to AWS with Confluentconfluent
Traditional data pipelines often face scalability issues and challenges related to cost, their monolithic design, and reliance on batch data processing. They also typically operate under the premise that all data needs to be stored in a single centralized data source before it's put to practical use. Confluent Cloud on Amazon Web Services (AWS) provides a fully managed cloud-native platform that helps you simplify the way you build real-time data flows using streaming data pipelines and Apache Kafka.
Q&A with Confluent Professional Services: Confluent Service Meshconfluent
No matter whether you are migrating your Kafka cluster to Confluent Cloud, running a cloud-hybrid environment or are in a different situation where data protection and encryption of sensitive information is required, Confluent Service Mesh allows you to transparently encrypt your data without the need to make code changes to you existing applications.
Citi Tech Talk: Event Driven Kafka Microservicesconfluent
Microservices have become a dominant architectural paradigm for building systems in the enterprise, but they are not without their tradeoffs. Learn how to build event-driven microservices with Apache Kafka
Confluent & GSI Webinars series - Session 3confluent
An in depth look at how Confluent is being used in the financial services industry. Gain an understanding of how organisations are utilising data in motion to solve common problems and gain benefits from their real time data capabilities.
It will look more deeply into some specific use cases and show how Confluent technology is used to manage costs and mitigate risks.
This session is aimed at Solutions Architects, Sales Engineers and Pre Sales, and also the more technically minded business aligned people. Whilst this is not a deeply technical session, a level of knowledge around Kafka would be helpful.
This session will show why the old paradigm does not work and that a new approach to the data strategy needs to be taken. It aims to show how a Data Streaming Platform is integral to the evolution of a company’s data strategy and how Confluent is not just an integration layer but the central nervous system for an organisation
Vous apprendrez également à :
• Créer plus rapidement des produits et fonctionnalités à l’aide d’une suite complète de connecteurs et d’outils de gestion des flux, et à connecter vos environnements à des pipelines de données
• Protéger vos données et charges de travail les plus critiques grâce à des garanties intégrées en matière de sécurité, de gouvernance et de résilience
• Déployer Kafka à grande échelle en quelques minutes tout en réduisant les coûts et la charge opérationnelle associés
The Future of Application Development - API Days - Melbourne 2023confluent
This document discusses the future of application development and key topics in streaming data and AI. It begins with an overview of streaming concepts like topics, streams, and tables. It then covers the Kappa architecture for stream processing using tools like Kafka Streams, ksqlDB, and Flink. The document also discusses challenges with generative AI models like handling private data, long-term context and memory, and integration into businesses. It concludes with recommendations to simplify architectures and use streaming as smart pipes to process raw and enriched data.
The Playful Bond Between REST And Data Streamsconfluent
1. REST APIs have proliferated as a way to integrate microservices but don't meet all integration needs and can result in tight coupling between systems.
2. Using streaming data platforms like Kafka can help reduce the number of integration lines needed between systems and provides stronger delivery guarantees compared to REST APIs.
3. While REST APIs are good for synchronous requests and responses, a data streaming platform that includes both REST and streaming data capabilities can help integrate application and data systems using the best approach for different use cases and requirements.
This document discusses building a data mesh architecture using event streaming with Confluent. It begins by introducing the concept of a data mesh and its four key principles: domain ownership, treating data as a product, self-serve data platforms, and federated computational governance. It then explains how event streaming is well-suited for a data mesh approach due to properties like scalability, immutability, and support for microservices. The document outlines a practical example of domain teams managing their own data products. It emphasizes that implementing a full data mesh is a journey and recommends starting with the first principle of domain ownership. Finally, it positions Confluent as a central platform that can help coordinate domains and easily connect applications and data systems across clouds
Citi Tech Talk: Monitoring and Performanceconfluent
The objective of the engagement is for Citi to have an understanding and path forward to monitor their Confluent Platform and
- Platform Monitoring
- Maintenance and Upgrade
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Speed Wins: From Kafka to APIs in Minutes
1. @yourtwitterhandle | developer.confluent.io
What are the best practices to debug client applications
(producers/consumers in general but also Kafka Streams
applications)?
Starting soon…
STARTING SOOOOON..
Starting sooooon ..
Starting soon…
Starting soon…
2. @yourtwitterhandle | developer.confluent.io
What are the best practices to debug client applications
(producers/consumers in general but also Kafka Streams
applications)?
Starting soon…
STARTING SOOOOON..
Starting sooooon ..
Starting soon…
3. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Streaming Architecture
4. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Streaming Architecture
6. Goal
Partners Tech Talks are webinars where subject matter experts from a Partner talk about a
specific use case or project. The goal of Tech Talks is to provide best practices and
applications insights, along with inspiration, and help you stay up to date about innovations
in confluent ecosystem.
10. 10
Business challenges Technical challenges
Increasingly complex application
environments and mounting pressures to
track and respond to every indicator and
issue.
Data latency and lack of end-to-end,
scalable observability for monitoring
behavior, performance, and health of
complex systems, applications, and
infrastructure.
Technology failures and security risks
that result in disruption to
customer-facing services and costly losses
for the business.
Higher operational costs due to more
troubleshooting time, bottlenecks, and
suboptimal performance requiring
additional resources/infrastructure.
INDUSTRY: ALL
11. 11
Why Confluent
Stream
data everywhere, on premises and in every
major public cloud.
Connect
operational data like logs, metrics, and traces
from across your entire business including
on-prem, cloud, and hybrid environments.
Process
data streams to feed real-time analytics
applications that query and visualize critical
metrics at scale including latencies, error
rates, overall service health statuses, etc.
Govern
data to ensure quality, security, and
compliance while enabling teams to discover
and leverage existing data products.
Business impact
Enable early detection of system-wide issues
to prevent incidents and downtime.
Deliver proactive, faster responses to open
incidents for quicker resolution.
Gain the ability to deeply analyze all systems
and make more informed decisions.
INDUSTRY: ALL
12. Why?
Connect
Connect natively to Confluent
and develop scalable APIs in
minutes with SQL.
Share
Share as high-concurrency,
low-latency APIs with other
engineers so they can start
building.
Combine
Combine Kafka data with
other sources (Snowflake,
BigQuery, etc.) to build rich and
fast data products.
13. @yourtwitterhandle | developer.confluent.io
What are the best practices to debug client applications
(producers/consumers in general but also Kafka Streams
applications)?
Starting soon…
STARTING SOOOOON..
Starting sooooon ..
Starting soon…
15. Tinybird + Confluent
From Confluent to APIs in minutes.
Unify streams, files,
tables, and more
Develop faster with SQL
and publish APIs
Empower others to build
data products
Real-time personalisation
User-facing analytics
Operational intelligence
Streams
Files
DB tables
Data sources Data products
API Endpoints
Milliseconds
16. Examples of user-facing analytics
Build differentiated features that delight users
In-product dashboards Real-time personalisation Fraud + anomaly detection
Capture data about user interactions within an application, send that data to an
analytics platform, and build metrics that are then served back to the user as
dashboards or features.
20. About Tinybird
We accelerate data
and engineering
teams
➔ Open-source ClickHouse at the core
➔ Serverless & fully managed
➔ Cloud-native
➔ Consumption based
➔ Unrivaled developer productivity
22. "Real-time data is the new
standard, and we want to win.
The best way to deliver a
differentiated user experience is
with live, fresh data."
Damian Grech, Director of Engineering, Data Platform
23. FanDuel relies on
Tinybird for real-time
personalization and
observability
Processed per month.
273TB+
Requests per day.
Average query latency.
216K+
<50ms
Development time for
the first use case.
<3w
24. Retail operates in
real-time with
Tinybird
Rows read during
Black Friday
11.9T
Internal Users
+1000
➔ Real-time business intelligence
➔ Real-time inventory management
➔ Real-time personalization
➔ Real-time in-house Web Analytics
P95 latency
240ms
With numbers
Top 5 Global Fashion Retailer
25. Canva relies on
Tinybird to deliver
insights to their
users
Peak API
1250 rps
➔ Real-time ingestion and analysis of
web events
➔ Real-time User-facing insights about
users published videos
With numbers
26. Split calculates
the impact of A/B
tests in real-time
Avg. ingested from Kafka
per month (compressed).
220TB+
Requests per day.
From 30-min latency to
real-time.
2.5M+
1-3s
features in production
within 4 months of signing
7
IMAGE
27. Factorial built 12
new product
features in 6
months
Processed per month.
65TB+
Requests per month.
Average feature dev time
1m
2 weeks
Initial POC to Production
launch time
1 month
IMAGE
28. The Hotels Network
provides real-time
competitive insights
and personalized
booking experiences
➔ User-facing dashboards and real-time
personalization.
➔ Streaming join in ksqlDB.
➔ Ingested into Tinybird for historical
enrichment and publication via API
Endpoints with sub-second latency.
API requests per month
1B+
Processed per month
6PB
30. Working together
The ideal joint Confluent
+ Tinybird customer
Performance is table stakes. Tinybird +
Confluent enable engineering teams to develop
faster and ship more..
Are they trying to adapt their existing DW?
Implement a new database? Simplify their stack?
Tinybird + Confluent are better in the cloud.
Prioritise speed to market
Moving from batch to real-time DSP
Cloud native