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.
Report
Share
Report
Share
1 of 35
Download to read offline
More Related Content
Similar to Unlocking the Power of IoT: A comprehensive approach to real-time insights
Getting Started with ThousandEyes Proof of ConceptsThousandEyes
The document provides an overview of a ThousandEyes proof of concept process. It discusses identifying opportunities, defining success criteria, executing the PoC, and developing a go-forward plan. The success criteria section outlines metrics like reducing mean time to identify and resolve issues, improving visibility, and moving from reactive to proactive monitoring. The overall goal is to demonstrate how ThousandEyes can help lower troubleshooting times and improve the digital experience for end users and applications.
Standing on the Shoulders of Open-Source Giants: The Serverless Realtime Lake...HostedbyConfluent
"Unlike just a few years ago, today the lakehouse architecture is an established data platform embraced by all major cloud data companies such as AWS, Azure, Google, Oracle, Microsoft, Snowflake and Databricks.
This session kicks off with a technical, no-nonsense introduction to the lakehouse concept, dives deep into the lakehouse architecture and recaps how a data lakehouse is built from the ground up with streaming as a first-class citizen.
Then we focus on serverless for streaming use cases. Serverless concepts are well-known from developers triggering hundreds of thousands of AWS Lambda functions at a negligible cost. However, the same concept becomes more interesting when looking at data platforms.
We have all heard about the principle ""It runs best on Powerpoint"", so I decided to skip slides here and bring a serverless demo instead:
A hands-on, fun, and interactive serverless streaming use case example where we ingest live events from hundreds of mobile devices (don't miss out - bring your phone and be part of it!!). Based on this use case I will critically explore how much of a modern lakehouse is serverless and how we implemented that at Databricks (spoiler alert: serverless is everywhere from data pipelines, workflows, optimized Spark APIs, to ML).
TL;DR benefits for the Data Practitioners:
-Recap the OSS foundation of the Lakehouse architecture and understand its appeal
- Understand the benefits of leveraging a lakehouse for streaming and what's there beyond Spark Structured Streaming.
- Meat of the talk: The Serverless Lakehouse. I give you the tech bits beyond the hype. How does a serverless lakehouse differ from other serverless offers?
- Live, hands-on, interactive demo to explore serverless data engineering data end-to-end. For each step we have a critical look and I explain what it means, e.g for you saving costs and removing operational overhead."
Wavefront provides a unified platform for real-time monitoring and observability across cloud infrastructure, applications, and services. It collects and analyzes time series metrics and distributed traces at massive scale to help users detect issues faster, optimize performance, and gain interactive insights. Key features include out-of-the-box integrations, real-time metrics ingestion, advanced analytics, and use cases for monitoring microservices, Kubernetes, containers, and public clouds.
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.
How to Build Streaming Apps with Confluent IIconfluent
In this interactive session, you’ll access a lab environment that shows you how to build Streaming Applications on top of Kafka, leveraging Confluent's modern tooling.
This is your exclusive opportunity to hear from the thought leaders of Apache Kafka on how event streaming enables you to leverage real-time data processing, with an easy-to-use, yet powerful interactive interface for stream processing, without the need to write code.
Cisco Connect 2018 Thailand - Enabling the next gen data center transformatio...NetworkCollaborators
Patomphon Vimolket introduces Cisco's vision for enabling next-generation data center transformations through software-defined technologies. The document discusses challenges like evolving threats, manual operations, and digital disruption. It presents Cisco's data center reference architecture and portfolio including Cisco CloudCenter, Nexus, UCS, HyperFlex, ACI, Intersight, and security solutions like Tetration and AppDynamics. These provide application visibility, infrastructure optimization, and security to help businesses adapt to challenges like multicloud, microservices, and more dynamic environments.
Predix Builder Roadshow event content detailing the Industrial Internet of Things, Building the Digital Twin, Predix Edge Essential, Predix Dojo Program, and upcoming Predix events.
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.
The document discusses the new enterprise reality of hybrid workers, modern app architectures, software as a service (SaaS) adoption, and agile networks. It notes that enterprise IT is rapidly losing visibility and control as infrastructure is provisioned at the edge and outages can be caused by external providers. ThousandEyes provides cloud and network intelligence to give enterprises deep visibility into every layer of the network and applications to help optimize digital experiences. This includes monitoring application performance, network paths, routing, and correlating data to identify issues. ThousandEyes has agents around the world and integrates with popular platforms.
This document introduces CloudOne as a company that provides managed continuous engineering services for companies developing Internet of Things (IoT) products and solutions. It discusses how CloudOne integrates infrastructure, tools, and support across continuous engineering and DevOps, enterprise asset management, analytics, and devices and applications. The document emphasizes that continuous engineering is a core capability needed for successful IoT strategies and outlines benefits of CloudOne's services such as enterprise-class security, ability to reuse existing tools and processes, and enabling global collaboration. Examples are given of major companies that use CloudOne's services for their IoT initiatives.
The document discusses challenges facing today's enterprises including cutting costs, driving value with tight budgets, maintaining security while increasing access, and finding the right transformative capabilities. It then discusses challenges in building applications such as scaling, availability, and costs. The document introduces the Windows Azure platform as a solution, highlighting its fundamentals of scale, automation, high availability, and multi-tenancy. It provides considerations for using cloud computing on or off premises and discusses ownership models.
Software AG's Cumulocity IoT platform provides capabilities for device connectivity and management, integration and APIs, data and analytics, and application enablement. It allows customers to remotely manage assets, lower costs through predictive maintenance, and make better decisions using real-time data analytics. The platform supports distributing analytics from cloud to edge to on-premises systems.
The document discusses an intelligent network platform that connects heterogeneous devices and shares data and resources in real-time. The platform, called Abiquo, allows users to interconnect different data sources, optimize costs, and facilitate communication between technologies. It provides benefits such as reducing time to market, improving business decisions, and automating processes through distributed and intensive computing capabilities.
Virtualization 101 provides an overview of virtualization and the VMware product suite. It begins with an introduction to virtualization and its benefits such as cost reduction and increased efficiency. It then discusses VMware's position as the market leader in virtualization and its core virtualization products, including vSphere Hypervisor. vSphere Hypervisor is VMware's free hypervisor that allows users to quickly partition a physical server into multiple virtual machines. The document provides installation and setup instructions for vSphere Hypervisor and explains how to create and manage virtual machines. It aims to give attendees a fundamental understanding of virtualization and how to get started with VMware's virtualization technology.
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.
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.
The document discusses accelerating cloud services. It notes that today's challenges for IT include rapid service delivery through cloud and devices. Big data, cloud computing, and high-performance computing are clear trends shaping enterprises. The cloud provides opportunities to extract value from data but also poses big challenges. The journey to cloud is inevitable as it addresses pressures on IT organizations from business leaders. The document advocates re-architecting the datacenter with cloud and software-defined infrastructure to provide agility, optimize resources, and enable new applications and services. It highlights Intel's ongoing investments in datacenter technologies and custom processors for AWS, and provides case studies of how Intel and AWS help customers leverage the power of cloud.
GAVS Technologies provides AI-based digital transformation services using its Zero Incident Framework (ZIF) platform. ZIF leverages machine learning to provide 360-degree visibility, predictive analytics, and autonomous remediation across IT infrastructure. It can reduce IT costs by 50% and improve service reliability. GAVS has implemented ZIF for several clients in industries such as banking, manufacturing, and retail to optimize operations and lower incident rates.
Il Data Streaming per un’AI real-time di nuova generazioneconfluent
Per costruire applicazioni di AI affidabili, sicure e governate occorre una base dati in tempo reale altrettanto solida. Ancor più quando ci troviamo a gestire ingenti flussi di dati in continuo movimento.
Come arrivarci? Affidati a una vera piattaforma di data streaming che ti permetta di scalare e creare rapidamente applicazioni di AI in tempo reale partendo da dati affidabili.
Scopri di più! Non perdere il nostro prossimo webinar durante il quale avremo l’occasione di:
• Esplorare il paradigma della GenAI e di come questa nuova tecnnologia sta rimodellando il panorama aziendale, rispondendo alla necessità di offrire un contesto e soluzioni in tempo reale che soddisfino le esigenze della tua azienda.
• Approfondire le incertezze del panorama dell'AI in evoluzione e l'importanza cruciale del data streaming e dell'elaborazione dati.
• Vedere in dettaglio l'architettura in continua evoluzione e il ruolo chiave di Kafka e Confluent nelle applicazioni di AI.
• Analizzare i vantaggi di una piattaforma di streaming dei dati come Confluent nel collegare l'eredità legacy e la GenAI, facilitando lo sviluppo e l’utilizzo di AI predittive e generative.
Unleashing the Future: Building a Scalable and Up-to-Date GenAI Chatbot with ...confluent
As businesses strive to remain at the cutting edge of innovation, the demand for scalable and up-to-date conversational AI solutions has become paramount. Generative AI (GenAI) chatbots that seamlessly integrate into our daily lives and adapt to the ever-evolving nuances of human interaction are crucial. Real-time data plays a pivotal role in ensuring the responsiveness and relevance of these chatbots, empowering them to stay abreast of the latest trends, user preferences, and contextual information.
Break data silos with real-time connectivity using Confluent Cloud Connectorsconfluent
Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.
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!
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.
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.
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
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
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.
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.
Sami provided a beginner-friendly introduction to Amazon Web Services (AWS), covering essential terms, products, and services for cloud deployment. Participants explored AWS' latest Gen AI offerings, making it accessible for those starting their cloud journey or integrating AI into coding practices.
Discover the Power of ONEMONITAR: The Ultimate Mobile Spy App for Android Dev...onemonitarsoftware
Unlock the full potential of mobile monitoring with ONEMONITAR. Our advanced and discreet app offers a comprehensive suite of features, including hidden call recording, real-time GPS tracking, message monitoring, and much more.
Perfect for parents, employers, and anyone needing a reliable solution, ONEMONITAR ensures you stay informed and in control. Explore the key features of ONEMONITAR and see why it’s the trusted choice for Android device monitoring.
Share this infographic to spread the word about the ultimate mobile spy app!
WhatsApp Tracker - Tracking WhatsApp to Boost Online Safety.pdfonemonitarsoftware
WhatsApp Tracker Software is an effective tool for remotely tracking the target’s WhatsApp activities. It allows users to monitor their loved one’s online behavior to ensure appropriate interactions for responsive device use.
Download this PPTX file and share this information to others.
Overview of ERP - Mechlin Technologies.pptxMitchell Marsh
This PowerPoint presentation provides a comprehensive overview of Enterprise Resource Planning (ERP) systems. It covers the fundamental concepts, benefits, and key functionalities of ERP software, illustrating how it integrates various business processes into a unified system. From finance and HR to supply chain and customer relationship management, ERP facilitates efficient data management and decision-making across organizations. Whether you're new to ERP or looking to deepen your understanding, this presentation offers valuable insights into leveraging ERP for business success.
Software development... for all? (keynote at ICSOFT'2024)miso_uam
Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require.
To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals).
In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.
IN Dubai [WHATSAPP:Only (+971588192166**)] Abortion Pills For Sale In Dubai** UAE** Mifepristone and Misoprostol Tablets Available In Dubai** UAE
CONTACT DR. SINDY Whatsapp +971588192166* We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai** Sharjah** Abudhabi** Ajman** Alain** Fujairah** Ras Al Khaimah** Umm Al Quwain** UAE** Buy cytotec in Dubai +971588192166* '''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol** Cytotec” +971588192166* ' Dr.SINDY ''BUY ABORTION PILLS MIFEGEST KIT** MISOPROSTOL** CYTOTEC PILLS IN DUBAI** ABU DHABI**UAE'' Contact me now via What's App… abortion pills in dubai Mtp-Kit Prices
abortion pills available in dubai/abortion pills for sale in dubai/abortion pills in uae/cytotec dubai/abortion pills in abu dhabi/abortion pills available in abu dhabi/abortion tablets in uae
… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all** Cytotec Abortion Pills are Available In Dubai / UAE** you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pills in Dubai** UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if it's beyond 6 months. Our Abu Dhabi** Ajman** Al Ain** Dubai** Fujairah** Ras Al Khaimah (RAK)** Sharjah** Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical** medical and surgical abortion methods for early through late second trimester** including the Abortion By Pill Procedure (RU 486** Mifeprex** Mifepristone** early options French Abortion Pill)** Tamoxifen** Methotrexate and Cytotec (Misoprostol). The Abu Dhabi** United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used** 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need for surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi** United Arab Emirates** uses the latest medications for medical abortions (RU-486** Mifeprex** Mifegyne** Mifepristone** early options French abortion pill)** Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi** United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our
Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.
Efficient hot work permit software for safe, streamlined work permit management and compliance. Enhance safety today. Contact us on +353 214536034.
https://sheqnetwork.com/work-permit/
Explore the rapid development journey of TryBoxLang, completed in just 48 hours. This session delves into the innovative process behind creating TryBoxLang, a platform designed to showcase the capabilities of BoxLang by Ortus Solutions. Discover the challenges, strategies, and outcomes of this accelerated development effort, highlighting how TryBoxLang provides a practical introduction to BoxLang's features and benefits.
In this talk, we will explore strategies to optimize the success rate of storing and retaining new information. We will discuss scientifically proven ideal learning intervals and content structures. Additionally, we will examine how to create an environment that improves our focus while you remain in the “flow”. Lastly we will also address the influence of AI on learning capabilities.
In the dynamic field of software development, this knowledge will empower you to accelerate your learning curve and support others in their learning journeys.
A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.
Seamless PostgreSQL to Snowflake Data Transfer in 8 Simple StepsEstuary Flow
Unlock the full potential of your data by effortlessly migrating from PostgreSQL to Snowflake, the leading cloud data warehouse. This comprehensive guide presents an easy-to-follow 8-step process using Estuary Flow, an open-source data operations platform designed to simplify data pipelines.
Discover how to seamlessly transfer your PostgreSQL data to Snowflake, leveraging Estuary Flow's intuitive interface and powerful real-time replication capabilities. Harness the power of both platforms to create a robust data ecosystem that drives business intelligence, analytics, and data-driven decision-making.
Key Takeaways:
1. Effortless Migration: Learn how to migrate your PostgreSQL data to Snowflake in 8 simple steps, even with limited technical expertise.
2. Real-Time Insights: Achieve near-instantaneous data syncing for up-to-the-minute analytics and reporting.
3. Cost-Effective Solution: Lower your total cost of ownership (TCO) with Estuary Flow's efficient and scalable architecture.
4. Seamless Integration: Combine the strengths of PostgreSQL's transactional power with Snowflake's cloud-native scalability and data warehousing features.
Don't miss out on this opportunity to unlock the full potential of your data. Read & Download this comprehensive guide now and embark on a seamless data journey from PostgreSQL to Snowflake with Estuary Flow!
Try it Free: https://dashboard.estuary.dev/register
introduction of Ansys software and basic and advance knowledge of modelling s...sachin chaurasia
Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.
An MVP (Minimum Viable Product) mobile application is a streamlined version of a mobile app that includes only the core features necessary to address the primary needs of its users. The purpose of an MVP is to validate the app concept with minimal resources, gather user feedback, and identify any areas for improvement before investing in a full-scale development. This approach allows businesses to quickly launch their app, test its market viability, and make data-driven decisions for future enhancements, ensuring a higher likelihood of success and user satisfaction.
Unlocking the Power of IoT: A comprehensive approach to real-time insights
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 ..
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..
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.
IoT meets Confluent meets Data Platform
MQTT
Broker
OPC UA
gRPC
Proxy
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.
IoT meets Confluent meets Data Platform
MQTT
Broker
OPC UA
gRPC
Proxy
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.
11. 11
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
12. 12
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
13. Building a custom observability platform for your
business delivers long-term benefits
Scalability & Latency
Ingest, query, and visualize
mission-critical log data in real
time, at scale and under load.
Privacy & Cost Controls
Maintain more control over
data sensitive to your business
and optimize for cost savings.
Customization &
Flexibility
Tailor a solution and all
features to the specific needs
of your organization.
14. Confluent and Imply deliver a simple solution for
building a real-time observability platform
Confluent Cloud
Fully managed data streaming platform
Imply Polaris
Fully managed Apache Druid® service
Connect all of your data in real time with a
cloud-native and complete data streaming platform
available everywhere you need it.
Get all the speed and performance of Druid
without having to manage the database or
configure infrastructure.
15. @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..
30. Confluent and Imply deliver a simple solution for
building a real-time observability platform
Confluent Cloud
Fully managed data streaming platform
Imply Polaris
Fully managed Apache Druid® service
Connect all of your data in real time with a
cloud-native and complete data streaming platform
available everywhere you need it.
Get all the speed and performance of Druid
without having to manage the database or
configure infrastructure.
31. Access Confluent data streams
from directly within Imply Polaris
Screenshot of Confluent data streams access
embedded within Imply Polaris
See Imply’s new data streaming integration during today’s demo