Visualizations with InfluxDB 3: More Options Than Ever Before
We’ve been working on a number of items here at InfluxData to give you even more options for creating visualizations and dashboards for your time series data in InfluxDB 3.
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Kafka's 80% Problem
Kafka is too expensive and complex for 80% of users. Most Kafka usage is small-data - ~60% of clusters are sub-1 MB/s, yet teams pay big-data prices. Diskless (KIP-1150), Tiered, and Iceberg topics give Apache Kafka multiple storage classes, but they’re advanced storage primitives. They are powerful in the hands of seasoned platform teams but too complex for beginners.
How Technology Improves Commercial HVAC Efficiency
Efficient heating, ventilation, and air conditioning (HVAC) systems are important for maintaining comfortable, healthy, and cost-effective commercial spaces. As energy costs rise and environmental concerns grow, businesses are increasingly looking for innovative ways to optimize their HVAC operations. Technological advancements are transforming how systems are monitored, controlled, and maintained, resulting in improved performance and lower operating costs.
Inside the InfluxDB 3 Plugin Ecosystem
Companies today face growing pressure to manage and analyze massive flows of time series data, from IoT sensors to cloud-native infrastructure. Storing this information is relatively straightforward. The greater obstacle is keeping it useful and consistent while balancing a wide range of tools and modern technology platforms that continue to evolve.
OpsHelm goes multi-cloud with Aiven Diskless BYOC, cuts costs by 78% over MSK
In under a month, OpsHelm the continuous, enriched changelog for cloud infrastructure - migrated its streaming backbone from MSK and NATS to Aiven Diskless Kafka (BYOC on AWS). The switch eliminated cross-cloud networking fees, collapsed multiple storage layers into one, and cut total streaming costs by 5x (from >$50,000/year to <$10,000/year) while serving the team a single logical event bus that stretches across multiple regions and accounts.
Explore the New InfluxDB 3 UI
Explorer is the new UI for InfluxDB 3 Core (open source) and Enterprise. It brings everything into one place: ingesting data, querying, visualizing, and managing your database. It’s designed to remove friction: fewer tools, less context switching, faster feedback.
The Open-Source BigQuery Sink Connector Saga
The BigQuery Sink connector is a critical piece of Kafka infrastructure that allows you to offload your Kafka topic data into BigQuery in real time. It is the third most-used connector among Kafka users (after the Google Cloud Managed Service for Apache Kafka and the original WePay sink connector), but it's not without its fair share of plot twists. Here's the story of how this connector switched hands three times and we ultimately ended up helping to re-build it.
What's New in InfluxDB 3.5: Explorer Dashboards, Cache Querying, and Expanded Control
InfluxDB 3.5 is now available for both Core and Enterprise, along with updates to the new Explorer UI that make it easier to save, organize, and query your data. This release highlights the biggest updates since our 3.4 release, including Explorer Dashboards in beta, new cache querying capabilities, and stronger operational tools for managing clusters. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.
Turning Data into Dollars: How Expense Insights Drive Savings
In today's competitive business environment, every dollar counts. Companies face rising costs across nearly every area-operations, technology, compliance, and staffing. While most organizations already track expenses, not all of them take the next step: using expense data as a strategic tool. The difference between simply recording costs and analyzing them for insights is enormous. When data is harnessed effectively, it becomes more than just a ledger-it becomes a roadmap to savings and efficiency.
Inside InfluxDB 3's Diskless Architecture
InfluxDB 3 Enterprise uses a cloud-native, diskless architecture to eliminate traditional storage limits. Its stateless design simplifies operations, delivers instant failover with zero data loss, and lets you scale compute and storage independently to petabyte levels without re-architecting your system.