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WELCOME
Expert for cloud native
technologies, Apache Kafka
and IoT
Product Manager @HiveMQ
Magi Erber
@ErberMagi
linkedin.com/in/margaretha-erber/
Copyright © by HiveMQ. All Rights Reserved.
System Engineer @inovex
Expert on Kubernetes
and cloud architectures
Christian Rohmann
Christian Rohmann (Team: IT Engineering & Operations)
inovex GmbH
Schanzenstraße 6-20
51063 Köln
christian.rohmann@inovex.de
What you gonna learn today
How to deploy HiveMQ in any K8s cluster
How to take advantage of utilities
HiveMQ Kubernetes Operator
How to operate a reliable & scalable HiveMQ Deployment
TECHNICAL IoT CHALLENGES
Scalability Massive scalability required for millions of devices
Instant Data Delivery Critical systems need reliable and instant data transfer
Unreliable Networks Excellent customer experience for IoT apps and devices
HiveMQ - Enterprise MQTT Broker
Copyright © by HiveMQ. All Rights Reserved.
Connectivity and Messaging Platform
Based on standard IoT protocol (MQTT)
Scales to more than 10 million always-on devices
Allow multi-cloud and Enterprise software integration
100% compatible to all MQTT versions (v3.1, v3.1.1, v5)
Massive IoT Scale
Deployments
Enables companies to seamlessly connect 10+ million devices
HiveMQ is Unique
Elastic Clustering &
Auto Heal
Integration with third
party systems
Ex
Allow to scale cluster nodes up and down depending on IoT device traffic
Automatically reconnect split cluster nodes due to network interruptions
Traceability &
Observability & Reliability
Possibility to audit single client message flows
DevOps metrics and dashboard across devices and cluster
Extension framework allows to integrate with nearly any external
system
What are the challenges we see
operating a reliable, scalable and
secure MQTT broker deployment?
Scalability
IoT Solutions need to scale to accommodate
growth (100s - 1,000,000s of devices)
Scale up and scale down to accommodate
spikes
Scale your deployments dynamically
Business critical
Operations
24/7 operation of all IoT applications
Continuous monitoring
Fast reaction in failure cases to establish a
continuous user experience
Deployment Agnostic
On-premise Self-hosted Managed Service
Time to Market
Continuous Deployment
No handoffs between different teams
DevOps culture: You built it, you run it
Fast and continuous application updates
Open-source container-orchestration system for automating
deployment, scaling & management of containerized apps
Mighty features like automated rollouts and rollbacks, self
healing and load balancing
KUBERNETES COMES TO THE RESCUE
Allows you to run distributed systems resiliently
Uses declarative description of desired state
https://banzaicloud.com/blog/what_have_the_kubernetes_ever_done_fo_us/
Copyright © by HiveMQ. All Rights Reserved.
THANK YOU
For attending the webinar
Stay updated on upcoming webinars
Subscribe to our Newsletternewsletter.social/hivemq
All unanswered questions will be answered on the
HiveMQ Community Forum
Submit your question now!

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How to Set up, Run and Scale a Secure MQTT Broker on Kubernetes

  • 1.
  • 2. WELCOME Expert for cloud native technologies, Apache Kafka and IoT Product Manager @HiveMQ Magi Erber @ErberMagi linkedin.com/in/margaretha-erber/ Copyright © by HiveMQ. All Rights Reserved. System Engineer @inovex Expert on Kubernetes and cloud architectures Christian Rohmann Christian Rohmann (Team: IT Engineering & Operations) inovex GmbH Schanzenstraße 6-20 51063 Köln christian.rohmann@inovex.de
  • 3. What you gonna learn today How to deploy HiveMQ in any K8s cluster How to take advantage of utilities HiveMQ Kubernetes Operator How to operate a reliable & scalable HiveMQ Deployment
  • 4. TECHNICAL IoT CHALLENGES Scalability Massive scalability required for millions of devices Instant Data Delivery Critical systems need reliable and instant data transfer Unreliable Networks Excellent customer experience for IoT apps and devices
  • 5. HiveMQ - Enterprise MQTT Broker Copyright © by HiveMQ. All Rights Reserved. Connectivity and Messaging Platform Based on standard IoT protocol (MQTT) Scales to more than 10 million always-on devices Allow multi-cloud and Enterprise software integration 100% compatible to all MQTT versions (v3.1, v3.1.1, v5)
  • 6. Massive IoT Scale Deployments Enables companies to seamlessly connect 10+ million devices HiveMQ is Unique Elastic Clustering & Auto Heal Integration with third party systems Ex Allow to scale cluster nodes up and down depending on IoT device traffic Automatically reconnect split cluster nodes due to network interruptions Traceability & Observability & Reliability Possibility to audit single client message flows DevOps metrics and dashboard across devices and cluster Extension framework allows to integrate with nearly any external system
  • 7. What are the challenges we see operating a reliable, scalable and secure MQTT broker deployment?
  • 8. Scalability IoT Solutions need to scale to accommodate growth (100s - 1,000,000s of devices) Scale up and scale down to accommodate spikes Scale your deployments dynamically
  • 9. Business critical Operations 24/7 operation of all IoT applications Continuous monitoring Fast reaction in failure cases to establish a continuous user experience
  • 11. Time to Market Continuous Deployment No handoffs between different teams DevOps culture: You built it, you run it Fast and continuous application updates
  • 12. Open-source container-orchestration system for automating deployment, scaling & management of containerized apps Mighty features like automated rollouts and rollbacks, self healing and load balancing KUBERNETES COMES TO THE RESCUE Allows you to run distributed systems resiliently Uses declarative description of desired state
  • 14.
  • 15. Copyright © by HiveMQ. All Rights Reserved. THANK YOU For attending the webinar Stay updated on upcoming webinars Subscribe to our Newsletternewsletter.social/hivemq All unanswered questions will be answered on the HiveMQ Community Forum Submit your question now!