Elasticsearch Basics: What it is, Licensing, Languages, and Getting Help

Updated May 2021 Elasticsearch is a distributed search and analytics engine.  It is built on top of Apache Lucene.   Elasticsearch was first released in 2010 by the company now known as Elastic.  It was originally completely open source, but recent license changes have limited its usage. More on that below. Elasticsearch is part of a … Continue reading Elasticsearch Basics: What it is, Licensing, Languages, and Getting Help

Apache Pulsar Tutorial & Online Course

Updated April 2021 Two of our team members had a vision to make Apache Pulsar accessible to everyone through an online course.  Our team members who are experienced with building highly available Apache Pulsar messaging platforms put together this tutorial that leads learners through installing, configuring, and running Pulsar.  Enroll in Apache Pulsar for Beginners … Continue reading Apache Pulsar Tutorial & Online Course

Hosted Apache Pulsar: Why managed Pulsar on your environment is a better choice

Updated April 2021 One of the attractions of hosted Apache Pulsar is the peace of mind that a third party is responsible for ensuring uptime.  However, that conclusion doesn’t consider what a company loses by using a third party hosted service.  Fully managed Pulsar services, hosted directly on your internal environment (cloud or on-prem), still … Continue reading Hosted Apache Pulsar: Why managed Pulsar on your environment is a better choice

What is Kafka Connect?

Updated March 2021. Kafka Connect is a free tool for efficiently moving data into and out of Apache Kafka.  Kafka Connect simplifies streaming data while also improving scalability and reliability. Features of Kafka Connect Standardizes integrations with Kafka.  Kafka Connect provides a shared framework for all Kafka connectors, which improves efficiency for connector development and … Continue reading What is Kafka Connect?

BookKeeper for Pulsar

Updated February 2021 As discussed in a previous article, “What is Apache Pulsar?”, Pulsar is a two-layer system with Pulsar brokers acting as the serving layer and Apache BookKeeper bookies providing the persistent storage layer.  In this post we will review BookKeeper’s role, important terminology, and an introduction to configuring Ledgers. Apache BookKeeper Basics BookKeeper … Continue reading BookKeeper for Pulsar

Subscription Types in Apache Pulsar

Updated February 2021 Apache Pulsar is a publish-subscribe distributed messaging system.  When consumers subscribe to topics in Pulsar, there are four different types to choose from:  Exclusive, Failover, Shared, and Key_Shared.  In this article we will review the different subscription types and what factors to consider when choosing between them. If you are interested in … Continue reading Subscription Types in Apache Pulsar

What is Apache Pulsar?

Updated February 2021 Apache Pulsar is an open source, publish-subscribe messaging system.  It’s unique because of its two-layer system where the serving and storage layers are separated. Pulsar runs with two supporting technologies, Apache BookKeeper and Apache ZooKeeper.  The three technologies together provide a high throughput, low latency distributed messaging system. Pulsar Broker – Serving … Continue reading What is Apache Pulsar?

Solr vs Elasticsearch

Updated September 2021 Both Apache Solr and Elasticsearch are popular open source* search engines built on top of Lucene.  This article is intended to help readers learn more about the technologies in relation to one another to guide technology decisions. * Check out this article for information about recent Elasticsearch licensing changes.  Elasticsearch is no … Continue reading Solr vs Elasticsearch

How to Index Elasticsearch

Updated January 2021 An Index in Elasticsearch is used to both organize and distribute data within a cluster.  In this post we will define both components of an Index and then outline how to create, add to, delete, and reindex Indicies in Elasticsearch.  We will also touch on querying, but querying will be covered in … Continue reading How to Index Elasticsearch

Kafka Uses Consumer Groups for Scaling Event Streaming

Updated April 2021 Apache Kafka is a distributed messaging system that implements pieces of the two traditional messaging models, Shared Message Queues and Publish-Subscribe.  Both Shared Message Queues and Publish-Subscribe models present limitations for handling high throughput use cases.   Apache Kafka provides fault tolerant, high throughput stream processing that can handle even the most complicated … Continue reading Kafka Uses Consumer Groups for Scaling Event Streaming

Kafka Case Studies

Updated April 2021 Apache Kafka’s high throughput and high availability make its applications vast.  In this post we dive into eight Kafka case studies.  These accounts are taken from work our Kafka solutions architects have done in the field with our clients. Medical Manufacturing Client automating the drug manufacturing process with multiple machines needs Kafka … Continue reading Kafka Case Studies

Elasticsearch Definitions

Updated January 2021 Taking a break from Elasticsearch optimization posts to get back to the basics to define fundamental Elasticsearch concepts. Elasticsearch Definitions:  A Primer for Elasticsearch Fundamentals Elasticsearch Node.  An Elasticsearch node is a single Elasticsearch process, and the minimum number of nodes for a highly available Elasticsearch cluster is three. Continue reading about … Continue reading Elasticsearch Definitions

Kafka Definitions

Updated January 2021 Taking a break from Kafka optimization posts to get back to the basics of Apache Kafka and define fundamental Kafka concepts. Kafka Definitions:  A Primer for Apache Kafka Fundamentals Kafka Producer.  A Kafka producer is a standalone application, or addition to your application, that sends data to Kafka broker(s). Kafka Broker.  A … Continue reading Kafka Definitions

Kafka Consumer Optimization

Updated April 2021 Kafka Consumer’s Role. The role of the Kafka consumer is to read data from Kafka.  Kafka consumer optimization can help avoid errors and increase performance of your application.   While the focus of this blog post is on the consumer, we will also review several broker configurations which affect the performance of consumers. Top … Continue reading Kafka Consumer Optimization

What is a Kafka Topic?

Updated August 2020 Kafka organizes message feeds into categories called topics. Each topic has a name that is unique across the entire Kafka cluster. Messages are sent to and read from specific topics.  In other words, producers write data to topics, and consumers read data from topics. Kafka topics are multi-subscriber.  This means that a … Continue reading What is a Kafka Topic?

Open Source Monitoring for Kafka

Updated September 2020 The key to ensuring Kafka uptime and maintaining peak performance is through monitoring.  By reviewing disk performance, memory usage, CPU, network traffic, and load in real-time abnormal metrics or trends can be identified before a performance dip or outage occurs.  Furthermore, monitoring Kafka provides assurance to your users that all messages are correctly … Continue reading Open Source Monitoring for Kafka

Load Balancing With Kafka

Updated November 2020 What is Kafka loading balancing? Load balancing with Kafka is a straightforward process and is handled by the Kafka producers by default.  While it isn’t traditional load balancing, it does spread out the message load between partitions while preserving message ordering. Round-robin approach:  By default, producers choose the partition assignment for each … Continue reading Load Balancing With Kafka

Kafka Use Cases

Updated April 2021 Apache Kafka is a high-throughput, open source message queue used by Fortune 100 companies, government entities, and startups alike. Part of Kafka’s appeal is its wide array of use cases.  In this post we will outline several of Kafka’s uses cases from event sourcing to tracking web activities to metrics and more. … Continue reading Kafka Use Cases

Performance Tuning for Apache Kafka

For Apache Kafka performance tuning measure latency and throughput for your Kafka implementation. Latency is the measure of how long it takes Kafka to process a single event. Throughput is the measure of how many events arrive within a particular period of time.

Elasticsearch Shards — Definitions, Sizes, Optimizations, and More

Updated April 2021 Optimizing Elasticsearch for shard size is an important component for achieving maximum performance from your cluster. To get started let’s review a few definitions that are an important part of the Elasticsearch jargon. If you are already familiar with Elasticsearch, you can continue straight to the next section. Defining Elasticsearch Jargon:  Cluster, … Continue reading Elasticsearch Shards — Definitions, Sizes, Optimizations, and More

Elasticsearch Optimization for Small, Medium, and Large Clusters

Updated April 2021 The way nodes are organized in an Elasticsearch cluster changes depending on the size of the cluster.  For small, medium, and large Elasticsearch clusters there will be different approaches for optimization. Dattell’s team of engineers are expert at designing, optimizing, and maintaining Elasticsearch implementations and supporting technologies.  Find our more about our … Continue reading Elasticsearch Optimization for Small, Medium, and Large Clusters

Is my data valuable?

Yes, your data is valuable. However, like oil in the ground, its value isn’t fully realized until it is cleaned up and processed. And just as crude oil can be valuable for transportation, plastic manufacturing, and heating, company data too can be processed to extract multiple layers of value. In this post, we will discuss the ways in which your data can provide value for your business and customers.

Kafka Monitoring With Elasticsearch and Kibana

Monitoring Kafka cluster performance is crucial for diagnosing system issues and preventing future problems. We recommend using Elasticsearch for Kafka monitoring because Elasticsearch is free and highly versatile as a single source of truth throughout any organization.

Frequently Asked Questions: Apache Kafka

Our team is experienced with implementing and fixing Kafka on a wide-range of systems for an even wider-range of business needs. From our real-world experience with Kafka consulting, we found that there are common questions that many new clients have about the technology.
Here are some quick answers to those questions.

4 Approaches to Data Backup

We outlined the four primary ways for backing up data and their benefits and drawbacks to help you decide on which approach best meets your company’s needs.

Kafka Optimization

Issues with Apache Kafka performance are directly tied to system optimization and utilization. Here, we compiled the best practices for a high volume, clustered, general use case.

When to Consider Physical and Logical Separation With Kafka

When companies scale, their data handling needs change, and systems that worked a year ago are now over-taxed with the increase in message volume. One particular component of the data handling system, the cluster architecture, should be revisited.