SlideShare a Scribd company logo
Building an Event
Streaming Architecture
with Apache Pulsar
Developer Advocate at StreamNative
Tim Spann
Welcome!
Tim Spann
Developer Advocate
StreamNative
tim@streamnative.io
@PaasDev
Agenda
● Apache Pulsar Basics
○ Features
○ Architecture
○ Connectivity
○ Protocols
● Stream Storage
○ In-Memory
○ Apache BookKeeper
○ ScyllaDB
● Demo
Unified
Messaging
Platform
Guaranteed
Message
Delivery
Resiliency Infinite
Scalability
4
Metadata
& Service
Discovery
Pulsar Cluster
Store Messages
5
Streaming
Consumer
Consumer
Consumer
Subscription
Shared
Failover
Consumer
Consumer
Subscription
In case of failure
in Consumer B-0
Consumer
Consumer
Subscription
Exclusive
X
Consumer
Consumer
Key-Shared
Subscription
Pulsar
Topic/Partition
Messaging
Unified Messaging Model
Connectivity
• Libraries - (Java, Python, Go, NodeJS,
WebSockets, C++, C#, Scala, Kotlin,...)
• Functions - Lightweight Stream
Processing (Java, Python, Go)
• Connectors - Sources & Sinks
(Cassandra, Kafka, …)
• Protocol Handlers - AoP (AMQP), KoP
(Kafka), MoP (MQTT), RoP (RocketMQ)
• Processing Engines - Flink, Spark,
Presto/Trino via Pulsar SQL
• Data Offloaders - Tiered Storage - (S3)
hub.streamnative.io
7
ScyllaDB Compatible Sink Connector
https://pulsar.apache.org/docs/en/io-quickstart/
ScyllaDB Compatible Sink
8
Kafka
On Pulsar
(KoP)
9
Pulsar
Producer
Pulsar
Lib
Pulsar
Producer
Pulsar
Lib
Kafka
Producer
Kafka
Lib
Kafka
Consumer
Kafka
Lib
Pulsar Protocol Handler Kafka Protocol Handler
Managed Ledger
Pulsar Topic
BK Client
Geo Replicator
Load Balance
Pulsar Broker
Zookeeper
Bookie
Pulsar Cluster
MQTT
On Pulsar
(MoP)
10
Pulsar
Producer
Pulsar
Lib
Pulsar
Producer
Pulsar
Lib
MQTT
Producer
MQTT
Lib
MQTT
Consumer
MQTT
Lib
Pulsar Proxy MQTT Proxy
Pulsar Protocol Handler MQTT Protocol Handler
Managed Ledger
Pulsar Topic
BK Client
Geo Replicator
Load Balance
Pulsar Broker
Zookeeper
Bookie
AMQP
On Pulsar
(AoP)
11
Pulsar
Producer
Pulsar
Lib
Pulsar
Producer
Pulsar
Lib
RabbitMQ
Producer
RabbitMQ
Lib
RabbitMQ
Consumer
RabbitMQ
Lib
Pulsar Proxy AMQP Proxy
Pulsar Protocol Handler AMQP Protocol Handler
Managed Ledger
Pulsar Topic
BK Client
Geo Replicator
Load Balance
Pulsar Broker
Zookeeper
Bookie
Schema Registry
Schema Registry
schema-1
(value=Avro/Protobuf/JSON)
schema-2
(value=Avro/Protobuf/JSON)
schema-3
(value=Avro/Protobuf/JSON)
Schema
Data
ID
Local Cache
for Schemas
+
Schema
Data
ID +
Local Cache
for Schemas
Send schema-1
(value=Avro/Protobuf/JSON) data
serialized per schema ID
Send (register)
schema (if not
in local cache)
Read schema-1
(value=Avro/Protobuf/JSON) data
deserialized per schema ID
Get schema by ID
(if not in local
cache)
Producers Consumers
12
● Consume messages from one
or more Pulsar topics.
● Apply user-supplied
processing logic to each
message.
● Publish the results of the
computation to another topic.
● Support multiple
programming languages
(Java, Python, Go)
● Can leverage 3rd-party
libraries to support the
execution of ML models on
the edge.
13
Pulsar Functions
Function Mesh
Pulsar Functions, along with Pulsar IO/Connectors, provide a powerful API for
ingesting, transforming, and outputting data.
Function Mesh, another StreamNative project, makes it easier for developers
to create entire applications built from sources, functions, and sinks all
through a declarative API.
14
15
● Buffer
● Batch
● Route
● Filter
● Aggregate
● Enrich
● Replicate
● Dedupe
● Decouple
● Distribute
Multi-Cloud Deployment
16
https://github.com/tspannhw/airquality-datastore
Demo
https://streamnative.io/blog/engineering/2022-03-17-streaming-real-time-chat-messages-into-scylla-
with-apache-pulsar/
17
Passionate and dedicated team.
Founded by the original developers of
Apache Pulsar.
StreamNative helps teams to capture,
manage, and leverage data using Pulsar’s
unified messaging and streaming
platform.
18
Powered by Apache Pulsar, StreamNative provides a
cloud-native, real-time messaging and streaming
platform to support multi-cloud and hybrid cloud
strategies.
Built for Containers
Cloud Native
StreamNative Cloud
Flink SQL
19
Keep in touch!
Tim Spann
Developer Advocate
StreamNative
tim@streamnative.io
@PaasDev
21
Who?
Executive Team
✓ Data veterans with extensive
industry experience
✓ Original creators of Apache
Pulsar & BookKeeper
✓ Operated the largest
Pulsar/BookKeeper cluster
Sijie Guo
Founder and CEO
Apache Software
Foundation Member
Pulsar / BookKeeper PMC
Matteo Merli
CTO
Co-creator and PMC
Chair of Pulsar,
BookKeeper PMC
Jia Zhai
Co-Founder
Pulsar / BooKKeeper
PMC
22
Pulsar Global Adoption
23
Adopted Pulsar to replace
Kafka in their DSP (Data
Streaming Platform).
● 1.5-2x lower in capex
cost
● 5-50x improvement in
latency
● 2-3x lower in opex due
Adopted Pulsar to power
their billing platform,
Midas, which processing
hundreds of billions of
financial transactions daily.
Adoption then expanded to
Tencent’s Federated
Learning Platform and
Tencent Gaming.
Applied Materials is one of
the biggest semiconductor
hardware and software
supplier in the industry.
They adopted Pulsar to
enable them to build a
message bus to tie all of
their data together. They
previously used Tibco.
Pulsar Adoption Use Cases
24
StreamNative Academy
➔ Pulsar expert instructor-led courses
➔ On-demand learning with labs
➔ 300+ engineers, admins and architects trained!
Academy.StreamNative.io
LEARN MORE ABOUT APACHE PULSAR WITH:
25
Pulsar Summit San Francisco
➔ August 18th, 2022
➔ Hotel Nikko San
Francisco
➔ Hosted by
Get early bird
tickets now!
Pulsar-Summit.org
Pulsar Summit San Francisco
Sponsorship Prospectus
Help engage and connect the Apache
Pulsar community by becoming an
official sponsor for Pulsar Summit San
Francisco 2022! Learn more about the
requirements and benefits of becoming
a community sponsor.
COMMUNITY SPONSORSHIPS AVAILABLE:
LEARN MORE
https://hubs.ly/Q01dJ3ly0
Welcome to Pulsar!
Scan the QR code to sign up for the
StreamNative Newsletter for Apache
Pulsar. You will get the latest Pulsar
news and have the chance to win a
Pulsar Giveaway Bundle valued at $500!
$500 Pulsar Giveaway Bundle:
■ 1 pair of Apple AirPods Pro
■ StreamNative and We <3 Pulsar swag
■ 2 free registration tickets to Pulsar
Summit San Francisco 2022!

More Related Content

What's hot

Oracle GoldenGate 21c New Features and Best Practices
Oracle GoldenGate 21c New Features and Best PracticesOracle GoldenGate 21c New Features and Best Practices
Oracle GoldenGate 21c New Features and Best Practices
Bobby Curtis
 
Intro to Delta Lake
Intro to Delta LakeIntro to Delta Lake
Intro to Delta Lake
Databricks
 
Making Apache Spark Better with Delta Lake
Making Apache Spark Better with Delta LakeMaking Apache Spark Better with Delta Lake
Making Apache Spark Better with Delta Lake
Databricks
 
Building Reliable Lakehouses with Apache Flink and Delta Lake
Building Reliable Lakehouses with Apache Flink and Delta LakeBuilding Reliable Lakehouses with Apache Flink and Delta Lake
Building Reliable Lakehouses with Apache Flink and Delta Lake
Flink Forward
 
1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx
BRIJESH KUMAR
 
Apache Kafka 0.8 basic training - Verisign
Apache Kafka 0.8 basic training - VerisignApache Kafka 0.8 basic training - Verisign
Apache Kafka 0.8 basic training - Verisign
Michael Noll
 
Introduction to Apache Kafka
Introduction to Apache KafkaIntroduction to Apache Kafka
Introduction to Apache Kafka
AIMDek Technologies
 
Improve PostgreSQL replication with Oracle GoldenGate
Improve PostgreSQL replication with Oracle GoldenGateImprove PostgreSQL replication with Oracle GoldenGate
Improve PostgreSQL replication with Oracle GoldenGate
Bobby Curtis
 
Apache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
Apache Spark Data Source V2 with Wenchen Fan and Gengliang WangApache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
Apache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
Databricks
 
Stream processing using Kafka
Stream processing using KafkaStream processing using Kafka
Stream processing using Kafka
Knoldus Inc.
 
Kafka internals
Kafka internalsKafka internals
Kafka internals
David Groozman
 
Databricks Delta Lake and Its Benefits
Databricks Delta Lake and Its BenefitsDatabricks Delta Lake and Its Benefits
Databricks Delta Lake and Its Benefits
Databricks
 
Learn to Use Databricks for Data Science
Learn to Use Databricks for Data ScienceLearn to Use Databricks for Data Science
Learn to Use Databricks for Data Science
Databricks
 
A Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and HudiA Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and Hudi
Databricks
 
Introduction to PySpark
Introduction to PySparkIntroduction to PySpark
Introduction to PySpark
Russell Jurney
 
Azure Databricks is Easier Than You Think
Azure Databricks is Easier Than You ThinkAzure Databricks is Easier Than You Think
Azure Databricks is Easier Than You Think
Ike Ellis
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Yohei Onishi
 
Redpanda and ClickHouse
Redpanda and ClickHouseRedpanda and ClickHouse
Redpanda and ClickHouse
Altinity Ltd
 
Introduction to Apache Kafka
Introduction to Apache KafkaIntroduction to Apache Kafka
Introduction to Apache Kafka
Jeff Holoman
 
Event Sourcing & CQRS, Kafka, Rabbit MQ
Event Sourcing & CQRS, Kafka, Rabbit MQEvent Sourcing & CQRS, Kafka, Rabbit MQ
Event Sourcing & CQRS, Kafka, Rabbit MQ
Araf Karsh Hamid
 

What's hot (20)

Oracle GoldenGate 21c New Features and Best Practices
Oracle GoldenGate 21c New Features and Best PracticesOracle GoldenGate 21c New Features and Best Practices
Oracle GoldenGate 21c New Features and Best Practices
 
Intro to Delta Lake
Intro to Delta LakeIntro to Delta Lake
Intro to Delta Lake
 
Making Apache Spark Better with Delta Lake
Making Apache Spark Better with Delta LakeMaking Apache Spark Better with Delta Lake
Making Apache Spark Better with Delta Lake
 
Building Reliable Lakehouses with Apache Flink and Delta Lake
Building Reliable Lakehouses with Apache Flink and Delta LakeBuilding Reliable Lakehouses with Apache Flink and Delta Lake
Building Reliable Lakehouses with Apache Flink and Delta Lake
 
1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx
 
Apache Kafka 0.8 basic training - Verisign
Apache Kafka 0.8 basic training - VerisignApache Kafka 0.8 basic training - Verisign
Apache Kafka 0.8 basic training - Verisign
 
Introduction to Apache Kafka
Introduction to Apache KafkaIntroduction to Apache Kafka
Introduction to Apache Kafka
 
Improve PostgreSQL replication with Oracle GoldenGate
Improve PostgreSQL replication with Oracle GoldenGateImprove PostgreSQL replication with Oracle GoldenGate
Improve PostgreSQL replication with Oracle GoldenGate
 
Apache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
Apache Spark Data Source V2 with Wenchen Fan and Gengliang WangApache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
Apache Spark Data Source V2 with Wenchen Fan and Gengliang Wang
 
Stream processing using Kafka
Stream processing using KafkaStream processing using Kafka
Stream processing using Kafka
 
Kafka internals
Kafka internalsKafka internals
Kafka internals
 
Databricks Delta Lake and Its Benefits
Databricks Delta Lake and Its BenefitsDatabricks Delta Lake and Its Benefits
Databricks Delta Lake and Its Benefits
 
Learn to Use Databricks for Data Science
Learn to Use Databricks for Data ScienceLearn to Use Databricks for Data Science
Learn to Use Databricks for Data Science
 
A Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and HudiA Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and Hudi
 
Introduction to PySpark
Introduction to PySparkIntroduction to PySpark
Introduction to PySpark
 
Azure Databricks is Easier Than You Think
Azure Databricks is Easier Than You ThinkAzure Databricks is Easier Than You Think
Azure Databricks is Easier Than You Think
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
 
Redpanda and ClickHouse
Redpanda and ClickHouseRedpanda and ClickHouse
Redpanda and ClickHouse
 
Introduction to Apache Kafka
Introduction to Apache KafkaIntroduction to Apache Kafka
Introduction to Apache Kafka
 
Event Sourcing & CQRS, Kafka, Rabbit MQ
Event Sourcing & CQRS, Kafka, Rabbit MQEvent Sourcing & CQRS, Kafka, Rabbit MQ
Event Sourcing & CQRS, Kafka, Rabbit MQ
 

Similar to Building an Event Streaming Architecture with Apache Pulsar

Big mountain data and dev conference apache pulsar with mqtt for edge compu...
Big mountain data and dev conference   apache pulsar with mqtt for edge compu...Big mountain data and dev conference   apache pulsar with mqtt for edge compu...
Big mountain data and dev conference apache pulsar with mqtt for edge compu...
Timothy Spann
 
Devfest uk & ireland using apache nifi with apache pulsar for fast data on-r...
Devfest uk & ireland  using apache nifi with apache pulsar for fast data on-r...Devfest uk & ireland  using apache nifi with apache pulsar for fast data on-r...
Devfest uk & ireland using apache nifi with apache pulsar for fast data on-r...
Timothy Spann
 
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Timothy Spann
 
Cloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azureCloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azure
Timothy Spann
 
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
Timothy Spann
 
Using FLiP with influxdb for edgeai iot at scale 2022
Using FLiP with influxdb for edgeai iot at scale 2022Using FLiP with influxdb for edgeai iot at scale 2022
Using FLiP with influxdb for edgeai iot at scale 2022
Timothy Spann
 
OSSNA Building Modern Data Streaming Apps
OSSNA Building Modern Data Streaming AppsOSSNA Building Modern Data Streaming Apps
OSSNA Building Modern Data Streaming Apps
Timothy Spann
 
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
Timothy Spann
 
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Timothy Spann
 
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
HostedbyConfluent
 
(Current22) Let's Monitor The Conditions at the Conference
(Current22) Let's Monitor The Conditions at the Conference(Current22) Let's Monitor The Conditions at the Conference
(Current22) Let's Monitor The Conditions at the Conference
Timothy Spann
 
Automation + dev ops summit hail hydrate! from stream to lake
Automation + dev ops summit   hail hydrate! from stream to lakeAutomation + dev ops summit   hail hydrate! from stream to lake
Automation + dev ops summit hail hydrate! from stream to lake
Timothy Spann
 
28March2024-Codeless-Generative-AI-Pipelines
28March2024-Codeless-Generative-AI-Pipelines28March2024-Codeless-Generative-AI-Pipelines
28March2024-Codeless-Generative-AI-Pipelines
Timothy Spann
 
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar) Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
Timothy Spann
 
Deep Dive into Building Streaming Applications with Apache Pulsar
Deep Dive into Building Streaming Applications with Apache Pulsar Deep Dive into Building Streaming Applications with Apache Pulsar
Deep Dive into Building Streaming Applications with Apache Pulsar
Timothy Spann
 
Serverless Event Streaming Applications as Functionson K8
Serverless Event Streaming Applications as Functionson K8Serverless Event Streaming Applications as Functionson K8
Serverless Event Streaming Applications as Functionson K8
Timothy Spann
 
Data streaming
Data streamingData streaming
Data streaming
Alberto Paro
 
[AI Dev World 2022] Build ML Enhanced Event Streaming
[AI Dev World 2022] Build ML Enhanced Event Streaming[AI Dev World 2022] Build ML Enhanced Event Streaming
[AI Dev World 2022] Build ML Enhanced Event Streaming
Timothy Spann
 
Building Real-Time Travel Alerts
Building Real-Time Travel AlertsBuilding Real-Time Travel Alerts
Building Real-Time Travel Alerts
Timothy Spann
 
NYC Dec 2022 Meetup_ Building Real-Time Requires a Team
NYC Dec 2022 Meetup_ Building Real-Time Requires a TeamNYC Dec 2022 Meetup_ Building Real-Time Requires a Team
NYC Dec 2022 Meetup_ Building Real-Time Requires a Team
Timothy Spann
 

Similar to Building an Event Streaming Architecture with Apache Pulsar (20)

Big mountain data and dev conference apache pulsar with mqtt for edge compu...
Big mountain data and dev conference   apache pulsar with mqtt for edge compu...Big mountain data and dev conference   apache pulsar with mqtt for edge compu...
Big mountain data and dev conference apache pulsar with mqtt for edge compu...
 
Devfest uk & ireland using apache nifi with apache pulsar for fast data on-r...
Devfest uk & ireland  using apache nifi with apache pulsar for fast data on-r...Devfest uk & ireland  using apache nifi with apache pulsar for fast data on-r...
Devfest uk & ireland using apache nifi with apache pulsar for fast data on-r...
 
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
Budapest Data/ML - Building Modern Data Streaming Apps with NiFi, Flink and K...
 
Cloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azureCloud lunch and learn real-time streaming in azure
Cloud lunch and learn real-time streaming in azure
 
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
Using FLiP with InfluxDB for EdgeAI IoT at Scale 2022
 
Using FLiP with influxdb for edgeai iot at scale 2022
Using FLiP with influxdb for edgeai iot at scale 2022Using FLiP with influxdb for edgeai iot at scale 2022
Using FLiP with influxdb for edgeai iot at scale 2022
 
OSSNA Building Modern Data Streaming Apps
OSSNA Building Modern Data Streaming AppsOSSNA Building Modern Data Streaming Apps
OSSNA Building Modern Data Streaming Apps
 
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
[Conf42-KubeNative] Building Real-time Pulsar Apps on K8
 
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
Designing Event-Driven Applications with Apache NiFi, Apache Flink, Apache Sp...
 
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
Let’s Monitor Conditions at the Conference With Timothy Spann & David Kjerrum...
 
(Current22) Let's Monitor The Conditions at the Conference
(Current22) Let's Monitor The Conditions at the Conference(Current22) Let's Monitor The Conditions at the Conference
(Current22) Let's Monitor The Conditions at the Conference
 
Automation + dev ops summit hail hydrate! from stream to lake
Automation + dev ops summit   hail hydrate! from stream to lakeAutomation + dev ops summit   hail hydrate! from stream to lake
Automation + dev ops summit hail hydrate! from stream to lake
 
28March2024-Codeless-Generative-AI-Pipelines
28March2024-Codeless-Generative-AI-Pipelines28March2024-Codeless-Generative-AI-Pipelines
28March2024-Codeless-Generative-AI-Pipelines
 
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar) Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)
 
Deep Dive into Building Streaming Applications with Apache Pulsar
Deep Dive into Building Streaming Applications with Apache Pulsar Deep Dive into Building Streaming Applications with Apache Pulsar
Deep Dive into Building Streaming Applications with Apache Pulsar
 
Serverless Event Streaming Applications as Functionson K8
Serverless Event Streaming Applications as Functionson K8Serverless Event Streaming Applications as Functionson K8
Serverless Event Streaming Applications as Functionson K8
 
Data streaming
Data streamingData streaming
Data streaming
 
[AI Dev World 2022] Build ML Enhanced Event Streaming
[AI Dev World 2022] Build ML Enhanced Event Streaming[AI Dev World 2022] Build ML Enhanced Event Streaming
[AI Dev World 2022] Build ML Enhanced Event Streaming
 
Building Real-Time Travel Alerts
Building Real-Time Travel AlertsBuilding Real-Time Travel Alerts
Building Real-Time Travel Alerts
 
NYC Dec 2022 Meetup_ Building Real-Time Requires a Team
NYC Dec 2022 Meetup_ Building Real-Time Requires a TeamNYC Dec 2022 Meetup_ Building Real-Time Requires a Team
NYC Dec 2022 Meetup_ Building Real-Time Requires a Team
 

More from ScyllaDB

Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
ScyllaDB
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
ScyllaDB
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
ScyllaDB
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
ScyllaDB
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
ScyllaDB
 
What Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQLWhat Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQL
ScyllaDB
 
Low Latency at Extreme Scale: Proven Practices & Pitfalls
Low Latency at Extreme Scale: Proven Practices & PitfallsLow Latency at Extreme Scale: Proven Practices & Pitfalls
Low Latency at Extreme Scale: Proven Practices & Pitfalls
ScyllaDB
 
Dissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance DilemmasDissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance Dilemmas
ScyllaDB
 
Beyond Linear Scaling: A New Path for Performance with ScyllaDB
Beyond Linear Scaling: A New Path for Performance with ScyllaDBBeyond Linear Scaling: A New Path for Performance with ScyllaDB
Beyond Linear Scaling: A New Path for Performance with ScyllaDB
ScyllaDB
 
Dissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance DilemmasDissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance Dilemmas
ScyllaDB
 
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
ScyllaDB
 
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
ScyllaDB
 
Database Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
Database Performance at Scale Masterclass: Driver Strategies by Piotr SarnaDatabase Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
Database Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
ScyllaDB
 
Replacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDBReplacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDB
ScyllaDB
 
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear ScalabilityPowering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
ScyllaDB
 
7 Reasons Not to Put an External Cache in Front of Your Database.pptx
7 Reasons Not to Put an External Cache in Front of Your Database.pptx7 Reasons Not to Put an External Cache in Front of Your Database.pptx
7 Reasons Not to Put an External Cache in Front of Your Database.pptx
ScyllaDB
 
Getting the most out of ScyllaDB
Getting the most out of ScyllaDBGetting the most out of ScyllaDB
Getting the most out of ScyllaDB
ScyllaDB
 
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a MigrationNoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
ScyllaDB
 
NoSQL Database Migration Masterclass - Session 3: Migration Logistics
NoSQL Database Migration Masterclass - Session 3: Migration LogisticsNoSQL Database Migration Masterclass - Session 3: Migration Logistics
NoSQL Database Migration Masterclass - Session 3: Migration Logistics
ScyllaDB
 
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and ChallengesNoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
ScyllaDB
 

More from ScyllaDB (20)

Optimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through ObservabilityOptimizing NoSQL Performance Through Observability
Optimizing NoSQL Performance Through Observability
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
What Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQLWhat Developers Need to Unlearn for High Performance NoSQL
What Developers Need to Unlearn for High Performance NoSQL
 
Low Latency at Extreme Scale: Proven Practices & Pitfalls
Low Latency at Extreme Scale: Proven Practices & PitfallsLow Latency at Extreme Scale: Proven Practices & Pitfalls
Low Latency at Extreme Scale: Proven Practices & Pitfalls
 
Dissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance DilemmasDissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance Dilemmas
 
Beyond Linear Scaling: A New Path for Performance with ScyllaDB
Beyond Linear Scaling: A New Path for Performance with ScyllaDBBeyond Linear Scaling: A New Path for Performance with ScyllaDB
Beyond Linear Scaling: A New Path for Performance with ScyllaDB
 
Dissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance DilemmasDissecting Real-World Database Performance Dilemmas
Dissecting Real-World Database Performance Dilemmas
 
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
Database Performance at Scale Masterclass: Workload Characteristics by Felipe...
 
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
Database Performance at Scale Masterclass: Database Internals by Pavel Emelya...
 
Database Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
Database Performance at Scale Masterclass: Driver Strategies by Piotr SarnaDatabase Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
Database Performance at Scale Masterclass: Driver Strategies by Piotr Sarna
 
Replacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDBReplacing Your Cache with ScyllaDB
Replacing Your Cache with ScyllaDB
 
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear ScalabilityPowering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
Powering Real-Time Apps with ScyllaDB_ Low Latency & Linear Scalability
 
7 Reasons Not to Put an External Cache in Front of Your Database.pptx
7 Reasons Not to Put an External Cache in Front of Your Database.pptx7 Reasons Not to Put an External Cache in Front of Your Database.pptx
7 Reasons Not to Put an External Cache in Front of Your Database.pptx
 
Getting the most out of ScyllaDB
Getting the most out of ScyllaDBGetting the most out of ScyllaDB
Getting the most out of ScyllaDB
 
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a MigrationNoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
NoSQL Database Migration Masterclass - Session 2: The Anatomy of a Migration
 
NoSQL Database Migration Masterclass - Session 3: Migration Logistics
NoSQL Database Migration Masterclass - Session 3: Migration LogisticsNoSQL Database Migration Masterclass - Session 3: Migration Logistics
NoSQL Database Migration Masterclass - Session 3: Migration Logistics
 
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and ChallengesNoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
NoSQL Data Migration Masterclass - Session 1 Migration Strategies and Challenges
 

Recently uploaded

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 

Recently uploaded (20)

Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 

Building an Event Streaming Architecture with Apache Pulsar

Editor's Notes

  1. The compute is done in Pulsar, while the state is stored in BookKeeper, leveraging an external metadata store (e.g. Zookeeper). This allows for scaling to support (use case) (e.g. commodity storage, Flink, Spark, etc). To show it in a diagram…
  2. ScyllaDB Cloud T3 cluster for testing (Free for 30 days!)
  3. Pulsar is a unified Messaging and Event Streaming Platform
  4. Instructor Notes Data veterans with extensive industry experience Original creators of Apache Pulsar & BookKeeper Operated the largest Pulsar/BookKeeper cluster More Apache Pulsar PMC/Committers than any other company Lead the day-to-day development of Apache Pulsar Provide services and support to help drive Pulsar adoption
  5. LEARN MORE ABOUT PULSAR AND ENTER TO WIN! https://share.hsforms.com/1dAyP4l3jQey3KBWH8Q9EGQ3x5r4