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Building a Bridge to
Cloud
Kafka re-engineered for the Cloud
Confluent Streaming Event Series – Amsterdam 6th Oct 2019
Peter Gustafsson, Systems Engineer - Confluent Cloud
peter.gustafsson@confluent.io
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Contents
● The Cloud Shift & Drivers for a Bridge to Cloud
● The Bridge
● Confluent Cloud 101 – Kafka as a Fully Managed Service
○ Architecture, Connectivity & Security
● Bridge Deployment Considerations
● Q&A
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The Great “Cloud Shift”
A cloud strategy is not complete
without a cloud migration story.
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Cloud Migration: A one time thing?
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In reality, we keep running bi-directionaly over time
Our apps are complex, intricately tied
together.
Some, built to run on legacy,
immovable systems.
Liberating the data is at the core of
the migration.
Prepare to have a hybrid environment
for a long time.
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Customer Feedback – Bridge to Cloud Drivers
- Deploy New Use Cases
- Developer Velocity
- Access to Cloud Ecosystems
- Cost Optimization
- Mobility
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The Bridge - Confluent Replicator
Protect business-critical data and projects
by replicating down to topic-level
configurations
Bridge and extend your DataCenter
to Cloud or replicate from Cloud to
Cloud
Confluent Replicator
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Architecture Complexity
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Reduce Complexity
Confluent Cloud
230230
Borderless Complete Streaming Platform
231
Confluent Cloud 101 - The Fully Managed Kafka Service from the Creators of Kafka
Base Facts:
Available on AWS, GCP & Azure.
Runs in Confluent Account/Subscription/Org-Project.
Consumed like a Fully Managed SaaS Service
Available on GCP and Azure (soon) Marketplaces.
Options:
Pay-as-you-go or Commited Spend Options.
Standard (shared) & Dedicated Tenant Options.
Private & Public Connectivity Options
Multi Availability Zone & Support Options.
Replicator & Confluent IP Option.
232
Why Kafka as a fully-
managed service?
“Focus Writing High Value
Code Supporting the
Business, not operating
infrastructure.”
Deploy in
Minutes
Ensure service
levels
Integrate with
cloud services
Eliminate
operational
burden
233
DATA COMPATIBILITY | Schema registry
DEVELOPMENT & CONNECTIVITY | Clients | Connectors | KSQL
APACHE KAFKA | Connect | Pub-Sub | Streams
®
Database changes Log events IoT events Web events
Transformations
Custom apps
Analytics
Monitoring
Hadoop
Database
Data warehouse
CRM
Confluent Cloud
DATA INTEGRATION REAL-TIME APPS
Confluent Cloud Kafka re-engineered for cloud
MANAGEMENT & MONITORING | Multi-tenancy | Quotas | Usage tracking and billing
234
Confluent Cloud Battle tested for massive scale,
secure mission-critical pipelines
● Designed by creators of Kafka
● Operated by Kafka committers
● 100+ years of combined Kafka
experience
● 80% of Kafka code commits
● Trusted by a third of Fortune
100 companies
● Sub-25ms^ latencies at multi-
GBps throughput
● Highly secure with SASL
Authentication, Encryption,
Private Networking, ACLs, and
RBAC*
● 99.95% uptime SLA guarantee
● < 1 hr response time SLA for
P1 issues
● Full dev cycle support
Delivered by Experts Trusted by Enterprises Backed by Guarantees
^P95 latency
*RBAC coming soon to Confluent Cloud
235
Confluent Cloud | Singular Kafka focus and innovation
Apache Kafka re-engineered for the cloud
Confluent Vision for Kafka
Global
● Automated disaster recovery
● Global applications with geo-awareness
Infinite
● Efficient and infinite data with tiered storage
● Unlimited horizontal scalability for single clusters
Elastic ● Faster elastic scaling when adding brokers and partitions
236
Confluent Cloud | Connectivity Options
Kafka in AWS
VPC
AWS Transit
Gateway
Kafka Clients
OnPrem
Direct ConnectVPC Peering
Public Endpoints
Kafka Clients in
VPC/onPrem
Internet
VPC/Vnet
Peering
Kafka Clients in
GCP/AWS or
Azure VPC
VPC Peering
237
Where to Deploy Replicator?
Replicator is currently a Source Connector, Needs Kafka
Connect Workers to run on. Connect Workers are grouped
in a Connect Cluster and connected to a Kafka Cluster per
config.
Recommendation : Dedicated Connect Cluster for Replicator
238
Deployment Considerations
● Where do we deploy Replicator? At Source or Destination? …. It depends…
○ Overall recommendation is close to the destination to ensure reliable producer operation.
○ Connectivity & Security – Can we deploy close to destination cluster or will that create firewall /
connectivity problems?
● Deploy Replicator in the most Secure Zone – This avoids inbound connections from a less
secure zone as this is a hard sell to the security team.
● Bi-Directional replication
○ Use provenance headers to avoid message duplication loops
○ Again..deploy Replicator in the most Secure Zone
239
Public Endpoints
Internet
OnPrem to Cloud Replication over Public Endpoints
● Simple and straightforward no Firewall/Connectivty Complexities
● Deploy dedicated Replicator workers for optimal performance
● For bi-directional replication deploy both replicators inside the firewall.
Confluent Platform
onPrem
R R
240
Azure
Customer VNet
Peering
R
Cloud to Cloud Replication with VPC peering
R
AWS / GCP
Private Networking Domain
● Deploying Replicator in the most Secure Zone
● For bi-directional replication deploy both replicators
inside the most Secure Zone.
Internet
241
Azure
Customer Vnet/VPC
R
Cloud to Cloud Replication
R
AWS / GCP
● Deploying Replicator in the most Secure Zone
● For bi-directional replication deploy both replica
inside the most Secure Zone.
Internet
Customer Vnet/VPC
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Q&A
https://www.confluent.io/resources/bridge-to-cloud
● More reading at docs.confluent.io
Try Confluent Cloud – Free $50 credit for the first 3 months
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eu-north1
Native Geo Replication and Confluent Cloud (Vision)
eu-west1
Kafka Native Geo Replication
● Latency Considerations - sub 30-50ms makes pan-eu clusters viable.
● Fast and automatic client fail-over will help RP use cases.
● Does not really solve the bridge-to-cloud use case.
”Stretched” Confluent Cloud Cluster

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The Bridge to Cloud (Peter Gustafsson, Confluent) London 2019 Confluent Streaming Event

  • 1. 221 Building a Bridge to Cloud Kafka re-engineered for the Cloud Confluent Streaming Event Series – Amsterdam 6th Oct 2019 Peter Gustafsson, Systems Engineer - Confluent Cloud peter.gustafsson@confluent.io
  • 2. 222This image cannot currently be displayed. Contents ● The Cloud Shift & Drivers for a Bridge to Cloud ● The Bridge ● Confluent Cloud 101 – Kafka as a Fully Managed Service ○ Architecture, Connectivity & Security ● Bridge Deployment Considerations ● Q&A
  • 3. 223This image cannot currently be displayed. The Great “Cloud Shift” A cloud strategy is not complete without a cloud migration story.
  • 4. 224This image cannot currently be displayed. Cloud Migration: A one time thing?
  • 5. 225This image cannot currently be displayed. In reality, we keep running bi-directionaly over time Our apps are complex, intricately tied together. Some, built to run on legacy, immovable systems. Liberating the data is at the core of the migration. Prepare to have a hybrid environment for a long time.
  • 6. 226This image cannot currently be displayed. Customer Feedback – Bridge to Cloud Drivers - Deploy New Use Cases - Developer Velocity - Access to Cloud Ecosystems - Cost Optimization - Mobility
  • 7. 227This image cannot currently be displayed. The Bridge - Confluent Replicator Protect business-critical data and projects by replicating down to topic-level configurations Bridge and extend your DataCenter to Cloud or replicate from Cloud to Cloud Confluent Replicator
  • 8. 228This image cannot currently be displayed. Architecture Complexity
  • 9. 229This image cannot currently be displayed. Reduce Complexity Confluent Cloud
  • 11. 231 Confluent Cloud 101 - The Fully Managed Kafka Service from the Creators of Kafka Base Facts: Available on AWS, GCP & Azure. Runs in Confluent Account/Subscription/Org-Project. Consumed like a Fully Managed SaaS Service Available on GCP and Azure (soon) Marketplaces. Options: Pay-as-you-go or Commited Spend Options. Standard (shared) & Dedicated Tenant Options. Private & Public Connectivity Options Multi Availability Zone & Support Options. Replicator & Confluent IP Option.
  • 12. 232 Why Kafka as a fully- managed service? “Focus Writing High Value Code Supporting the Business, not operating infrastructure.” Deploy in Minutes Ensure service levels Integrate with cloud services Eliminate operational burden
  • 13. 233 DATA COMPATIBILITY | Schema registry DEVELOPMENT & CONNECTIVITY | Clients | Connectors | KSQL APACHE KAFKA | Connect | Pub-Sub | Streams ® Database changes Log events IoT events Web events Transformations Custom apps Analytics Monitoring Hadoop Database Data warehouse CRM Confluent Cloud DATA INTEGRATION REAL-TIME APPS Confluent Cloud Kafka re-engineered for cloud MANAGEMENT & MONITORING | Multi-tenancy | Quotas | Usage tracking and billing
  • 14. 234 Confluent Cloud Battle tested for massive scale, secure mission-critical pipelines ● Designed by creators of Kafka ● Operated by Kafka committers ● 100+ years of combined Kafka experience ● 80% of Kafka code commits ● Trusted by a third of Fortune 100 companies ● Sub-25ms^ latencies at multi- GBps throughput ● Highly secure with SASL Authentication, Encryption, Private Networking, ACLs, and RBAC* ● 99.95% uptime SLA guarantee ● < 1 hr response time SLA for P1 issues ● Full dev cycle support Delivered by Experts Trusted by Enterprises Backed by Guarantees ^P95 latency *RBAC coming soon to Confluent Cloud
  • 15. 235 Confluent Cloud | Singular Kafka focus and innovation Apache Kafka re-engineered for the cloud Confluent Vision for Kafka Global ● Automated disaster recovery ● Global applications with geo-awareness Infinite ● Efficient and infinite data with tiered storage ● Unlimited horizontal scalability for single clusters Elastic ● Faster elastic scaling when adding brokers and partitions
  • 16. 236 Confluent Cloud | Connectivity Options Kafka in AWS VPC AWS Transit Gateway Kafka Clients OnPrem Direct ConnectVPC Peering Public Endpoints Kafka Clients in VPC/onPrem Internet VPC/Vnet Peering Kafka Clients in GCP/AWS or Azure VPC VPC Peering
  • 17. 237 Where to Deploy Replicator? Replicator is currently a Source Connector, Needs Kafka Connect Workers to run on. Connect Workers are grouped in a Connect Cluster and connected to a Kafka Cluster per config. Recommendation : Dedicated Connect Cluster for Replicator
  • 18. 238 Deployment Considerations ● Where do we deploy Replicator? At Source or Destination? …. It depends… ○ Overall recommendation is close to the destination to ensure reliable producer operation. ○ Connectivity & Security – Can we deploy close to destination cluster or will that create firewall / connectivity problems? ● Deploy Replicator in the most Secure Zone – This avoids inbound connections from a less secure zone as this is a hard sell to the security team. ● Bi-Directional replication ○ Use provenance headers to avoid message duplication loops ○ Again..deploy Replicator in the most Secure Zone
  • 19. 239 Public Endpoints Internet OnPrem to Cloud Replication over Public Endpoints ● Simple and straightforward no Firewall/Connectivty Complexities ● Deploy dedicated Replicator workers for optimal performance ● For bi-directional replication deploy both replicators inside the firewall. Confluent Platform onPrem R R
  • 20. 240 Azure Customer VNet Peering R Cloud to Cloud Replication with VPC peering R AWS / GCP Private Networking Domain ● Deploying Replicator in the most Secure Zone ● For bi-directional replication deploy both replicators inside the most Secure Zone. Internet
  • 21. 241 Azure Customer Vnet/VPC R Cloud to Cloud Replication R AWS / GCP ● Deploying Replicator in the most Secure Zone ● For bi-directional replication deploy both replica inside the most Secure Zone. Internet Customer Vnet/VPC
  • 22. 242This image cannot currently be displayed. Q&A https://www.confluent.io/resources/bridge-to-cloud ● More reading at docs.confluent.io Try Confluent Cloud – Free $50 credit for the first 3 months
  • 23. 243This image cannot currently be displayed.
  • 24. 244 eu-north1 Native Geo Replication and Confluent Cloud (Vision) eu-west1 Kafka Native Geo Replication ● Latency Considerations - sub 30-50ms makes pan-eu clusters viable. ● Fast and automatic client fail-over will help RP use cases. ● Does not really solve the bridge-to-cloud use case. ”Stretched” Confluent Cloud Cluster