Another useful #ApachePulsar tutorial courtesy of the team at SYSCREST GmbH, this one demonstrating how to install #ApachePulsar on #Kubernetes using Helm: buff.ly/2MFLOvy.

This guest blog post from Jesse Anderson of BigDataInstitute explains how the #serverless approach in Pulsar Functions (part of #ApachePulsar) slashes the operational overhead of processing data flowing through messaging systems: buff.ly/362kWxF

"How Fast Data Is Driving Unexpected Innovation" from Streamlio's Karthik looks at innovative use cases for real-time and stream data processing. link.medium.com/4GGzvc9t30

The #apachekafka compatibility that is built in to the #ApachePulsar #streamingdata messaging technology makes it possible to use applications written for #ApacheKafka with #ApachePulsar without code changes. This video explains how it works: buff.ly/2BrJCSr

#Streamprocessing is becoming a critical ingredient in customer analytics. This new article in RTInsights.com discusses the role of #streamingdata analytics and real-time processing in powering real-time, interactive customer engagement. buff.ly/2JlNnwL

What is #ApachePulsar? This blog series by Streamlio's Matteo Merli introduces the #streamingdata #messaging system help co-created at #Yahoo and its capabilities for messaging, stream processing, and event storage. buff.ly/2MEXyML

"High performance messaging with #ApachePulsar" presentation by Streamlio's Matteo Merli looks at the design and architecture that make it possible for Pulsar to deliver significantly better throughput and latency compared to alternatives. buff.ly/2PlxHuc

Why did Splunk decide to acquire Streamlio (last week's big announcement) and what does Splunk have to say about the future of #ApachePulsar and its #opensource community? Read Splunk's blog post from last week to find out: buff.ly/2MvZrgQ

Why did narvar decide to deploy #ApachePulsar? Read their blog post to learn how they have used Pulsar to replace the complex combination of #ApacheKafka, #AWSLambda, #AWSKinesis and more: buff.ly/2LYDGol

Our "Introduction to Apache Pulsar" online tutorial walks you through an end-to-end example of creating a #cryptocurrency quoting application using the #ApachePulsar #streamingdata technology. Part 1 explains the example use case: buff.ly/2RnqcmL

From Total Retail: "3 Ways Fast Data Helps Retailers Deliver Rich Customer Experiences" by Streamlio's Karthik discusses ways retailers can use real-time data processing to deliver an Amazon experience and better to their customers. buff.ly/36dcHyL #fastdata

Part 2 of our tutorial on the #ApachePulsar #streamingdata technology walks thourugh how to install Pulsar on your cloud platform of choice: buff.ly/2DGcaZO #fastdata #messaging

What is #ApachePulsar? This short video provides an introduction to the streaming and messaging technology created by #Yahoo to solve the challenges of modern #fastdata processing. buff.ly/2JSVQpR

Part 3 of our hands-on #ApachePulsar tutorial explains how to configure properties, namespaces, topics and subscriptions. buff.ly/2WuTsMr #streamingdata #messaging #pubsub

Streamlio's Karthik summarizes his perspective on last week's announcement that @Splunk has agreed to acquire Streamlio in this post on the Streamlio blog: buff.ly/31zzOjo

One of the powerful architectural features of the #ApachePulsar #streamingdata messaging system is its decoupling of message serving and message storage. Streamlio's @ivankelly explains in this short video: buff.ly/2TRgpYa

Parts 4 and 5 of our hands-on tutorial on #ApachePulsar look at how to create a microservice to capture cryptocurrency price data and then ingest that data into Pulsar using #ApacheNiFi processors: buff.ly/2DLhPOv

The tiered storage feature of #ApachePulsar allows infinite retention of data and event streams. This video features Streamlio's @ivankelly explaining how it works in this presentation from the #JOTB2019 conference earlier this year: buff.ly/2r0kQGM

Wrapping up our hands-on #ApachePulsar tutorial, the final components explain processing #cryptocurrency data streams with Pulsar Functions and how to connect the result to a dashboard for visualization: buff.ly/2WEUt4A #streamingdata #fastdata