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Claude Code has become an indispensable part of my daily workflow.

This is the fourth post in my series on improving the cost efficiency of Apache Cassandra through increased node density.

I’ve started working on a new project that I’d like to share, easy-cass-mcp, an MCP (Model Context Protocol) server specifically designed to assist Apache Cassandra operators.

I’m taking a quick break from my series on Cassandra node density to share some news with the Cassandra community: easy-cass-stress has officially been donated to the Apache Software Foundation and is now part of the Apache Cassandra project ecosystem as…

This is the third post in my series on optimizing Apache Cassandra for maximum cost efficiency through increased node density.

This is the second post in my series on improving node density and lowering costs with Apache Cassandra.

This is the first post of several I have planned on optimizing Apache Cassandra for maximum cost efficiency.

Apache Cassandra 5.0 has officially landed!

I’ve got some fun news to start the week off for users of easy-cass-lab: I’ve just released version 5.

If you’re encountering Python errors when starting cqlsh on a macOS system, this post is for you.

I’m excited to announce that the latest version of easy-cass-lab now supports Cassandra 5.0 RC-1, which was just made available last week!

I’m happy to share some exciting news for all Cassandra enthusiasts!

I’m pleased to announce that I’ve opened training signups for Operator Excellence to the public for July and August.

As a long time participant with the Cassandra project, I’ve witnessed firsthand the evolution of this incredible database.

Streaming In the world of software engineering, especially within the realm of distributed systems, continuous learning and experimentation are not just beneficial; they’re essential.

As I promised in December, I redid my presentation from the Cassandra Summit 2023 on a live stream.

Hello, friends in the Apache Cassandra community!

I am thrilled to share some significant updates and exciting plans with my readers and the Cassandra community.

Welcome back to the month of profiling!

Welcome back to my series on performance profiling!

Welcome to the first article of ‘The Month of Profiling,’ a series I will be presenting throughout November.

Introduction Apache Cassandra remains the preferred choice for organizations seeking a massively scalable NoSQL database.

Note: Before we dive into this review of AxonOps and their offerings, it’s important to note that this blog post is part of a paid engagement in which I provided product feedback.

This post will introduce you to tlp-stress, a tool for benchmarking Apache Cassandra.

Saying “it’s been a while since I wrote anything here” would be an understatement, but I’m back, with a lot to talk about in the upcoming months.

It’s been a while since I’ve written anything here.

Kotlin 1.3 was released recently.

In this post I’ll be discussing the fundamentals of the Logical Volume Manager in Linux, usually simply referred to as LVM.

In this I’ll discuss a uncommonly used but useful technique of accessing variables and methods which have been declared as private in the JVM, using the Apache Commons Lang library to work around the restriction.

After almost five years of using Pelican as my static site generator, I’ve migrated to the Hugo tool.

Edit: The source code for this post is located on GitHub Sometimes when I travel I end up trying to learn something completely new.

If you were to take a look at my blog, you’d think I’d flipped a table and left the tech industry.

Instacluster announced on the Apache Cassandra user list that they are making their supported branch of the Cassandra 3.7 tick tock release publicly available (see GitHub repo).

I haven’t blogged in a while, which is a bummer because I was determined to write an article a week for the entire year.

I’ve spent the last 4 years working in the big data world with Cassandra because it’s the only practical solution if you have a requirement to scale out, uptime is a priority, and you need predictable performance.

One of the problems of learning a new database is getting used to a new way of data modeling.

I posted a short preview showing off some of the work I’ve been doing recently on Cassandra Dataset Manager, a tool to help new Cassandra users learn how to create proper data models.

Apache Cassandra 3.3 was released last week.

If you’ve looked into using Cassandra at all, you probably have heard plenty of warnings about its secondary indexes.

Introduction Building a web app relying on database calls with CPython (the standard Python distribution) is pretty easy, but can suffer from performance problems.

The 3.0 release of Apache Cassandra marked an important milestone.

In my previous post, I briefly mentioned FrankDux, a new project I’m working on.

In a previous post, I introduced a new project, KillrAnswers.

I have built a completely useless database.

Introduction In my previous post I introduced RAMP, a family of algorithms for managing atomicity on reads across distributed database partitions.

Introduction In this post I’ll introduce RAMP, a family of algorithms for performing atomic reads across partitions when working with distributed databases.

The last few months have been a non stop whirlwind of traveling and speaking.

MySQL is a popular choice for new projects.

A little while back I wrote a post on working with DataFrames from PySpark, using Cassandra as a data source.

In this post I’ll walk through the process of reading in various plain text database files using Pandas, and then joining together the different DataFrames.