Operations | Monitoring | ITSM | DevOps | Cloud

The Right Tool for the Right Job: How to Bring CSV Data into InfluxDB 3

Comma-separated value (CSV) files are one of the simplest formats for structured data and remain widely used across industries. From machine exports to business reports, CSVs are easy to create, edit, and share. They serve as a backbone for data management, ensuring teams can exchange information quickly and consistently. However, CSVs alone are static. When ingested into a time series database, they shift from flat files to part of a living data pipeline.

What's New in InfluxDB 3.4: Simpler Cache Management, Provisioned Tokens, and More

Today, we’re releasing InfluxDB 3.4 for Core and Enterprise, as well as our 1.2 update for the Explorer UI. This release focuses on developer efficiency, operational automation, and targeted security enhancements, giving teams faster setup, smoother workflows, and stronger guardrails for production use. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

Building a Preventive Maintenance Dashboard for Fleet Operations

Preventive maintenance takes precedence in fleet management. With careful planning and well-executed strategies, it can optimize vehicle efficiency, reduce downtimes, and elongate the life cycle of all your assets. It can be a hard nut to crack if you manage a large fleet. That's why companies invest massively in real-time solutions like preventive maintenance dashboards to overcome this challenge.

Open Source Data Lakehouse Architecture with Spark and Kyuubi: Engineering Deep Dive

Subscribe. Fuel your curiosity. This webinar gives a detailed exploration of an open source data lakehouse architecture and how we implement it at Canonical. Watch to discover how Spark’s scalable processing engine and Kyuubi’s user-friendly SQL gateway enable efficient, secure, and high-performance analytics on unified data sets. Let’s dig deeper into how this combination simplifies big data storage, interactive analytics, and ETL – all through a single, streamlined open source lakehouse architecture.

Get Kafka-Nated, Ep 6: Kafka Meets Flink: The Streaming Analytics Revolution

Wednesday July 23 2025 Guest Focus: Streaming analytics expert and Kafka-Flink integration specialist Ben Gamble from Ververica will be joining our host Hugh Evans. Ben has been at the forefront of driving Kafka-Flink integration and the streaming analytics revolution. What we’ll cover: As always we’ll offer a free coffee voucher to all attendees. Get Kafka-Nated!

Simple Kafka for Developers: Kafka UI Directly in Your IDE

Developers love tools that make their lives easier. Whether it’s debugging, visualizing data, or managing clusters, the right tools can transform hours of manual work into just a few clicks. When it comes to Kafka - one of the most powerful but complex streaming platforms - having the right interface is critical. That’s exactly why we built our new Kafka UI Plugin.

Get Kafka-Nated Ep 5: Satish Duggana, Uber - Contributing Tiered Storage to Kafka

Wednesday August 20 2025 Guest Focus: Senior engineer and KIP-405 Tiered Storage architect Satish from Uber, will be joining our host Hugh Evans. Satish was a contributor to KIP 405 which brought tiered storage to Kafka. What we’ll cover: As always we’ll offer a free coffee voucher to all attendees. Get Kafka-Nated!

Energy Monitoring and Targeting: Saving Costs Through Proactive Billing Software

In today's energy-conscious world, businesses and utility providers alike are seeking smarter ways to manage costs, improve efficiency, and promote sustainability. Energy monitoring and targeting (M&T) has emerged as one of the most effective strategies to achieve these goals. By combining accurate monitoring with actionable insights, organizations can identify inefficiencies, reduce waste, and lower utility expenses.

The Real Cost of Choosing the Wrong Database

Data is more than a record of what happened—it shapes what happens next. Across industries, connected devices continuously stream time-stamped data that reflects the current state of machines, environments, and systems. This steady flow gives organizations a live view of operations and the ability to catch issues early, adjust quickly, and operate more efficiently. However, capturing data alone does not create value.