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.
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