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devart

AI for Data Analytics: Unlocking the Power of Data Insights

Jul 3, 2025 By Dereck Mushingairi In Devart
According to McKinsey, 78% of organizations have implemented AI in at least one core function, with data analytics leading that transformation. AI no longer supports analytics from the sidelines; it now directs how data is queried, modeled, and delivered. It forecasts outcomes, detects anomalies, and reveals real-time insights, often before a dashboard loads. For SQL developers and DBAs, this marks a new phase in data work.
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Aiven Surpasses $100M ARR: A Story of Community, Open Source, and What's Next

Jul 3, 2025 By Aiven In Aiven
Great news from Aiven! We are thrilled to announce that we have officially surpassed $100 million in annual recurring revenue (ARR). Our journey started with a simple goal: to give developers access to the best open-source data technologies like PostgreSQL, Kafka, and OpenSearch, without the usual complexity. This incredible milestone proves the strength of our mission and the amazing open-source community we've built together.
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influxdata

From Zero to Dashboard in 10 Minutes with Telegraf, InfluxDB 3, and Grafana

Jul 3, 2025 By Suyash Joshi In InfluxData
In this tutorial, let’s walk through setting up a modern TIG stack in 10 minutes. TIG stands for three popular open source tools that complement each other: Telegraf, InfluxDB 3, and Grafana. They are often used to collect, store, and visualize time series data from servers, containers, APIs, or even IoT devices. We will be using a read-to-use GitHub repository that includes.
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Aiven

Aiven Surpasses $100M ARR: A Story of Community, Open Source, and What's Next

Jul 3, 2025 By Oskari Saarenmaa In Aiven
Today is a special day at Aiven. We are incredibly proud and humbled to announce that we have officially surpassed $100 million in annual recurring revenue. This is more than just a number on a dashboard. It’s a powerful milestone that reflects the trust of thousands of developers, the incredible innovation of our customers, and the relentless dedication of our global team—the Aiven crabs.
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The Evolution of Business Intelligence in the Digital Age

The Evolution of Business Intelligence in the Digital Age

Jul 2, 2025 By OpsMatters In OpsMatters
In the digital economy, the pace of change has accelerated beyond what traditional business models were designed to handle. Decision-making, once based largely on historical trends and executive intuition, has evolved into a real-time, data-informed process that touches every layer of an organization. This transformation marks the new era of business intelligence, where the ability to generate insights is not just a competitive advantage-it's a basic necessity.
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Pepperdata

Pepperdata Helps Karpenter Work Better

Jul 1, 2025 By Pepperdata In Pepperdata
Running Kubernetes on AWS? You're probably using Karpenter, the open-source autoscaler that dynamically provisions new instances as your EKS workloads grow. Karpenter launches rightsized instances in real time in response to pending pods, based on available instance types and the resources applications need. It also terminates underutilized nodes to reduce costs.
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influxdata

What's New in InfluxDB 3.2: Explorer UI Now GA Plus Key Enhancements

Jun 30, 2025 By Paul Dix In InfluxData
InfluxDB 3.2 is now available for both Core and Enterprise, bringing the general availability of InfluxDB 3 Explorer, a new UI that simplifies how you query, explore, and visualize data. On top of that, 3.2 includes a wide range of performance improvements, feature updates, and bug fixes. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.
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Pepperdata

Myth #5 of Kubernetes Resource Optimization: Spark Dynamic Allocation

Jun 27, 2025 By Pepperdata In Pepperdata
In this blog series we’re examining the Five Myths of Kubernetes Resource Optimization. The fifth and final myth in this series relates to another common assumption of many Kubernetes users: Dynamic Allocation for Apache Spark applications automatically prevents Spark from overprovisioning resources while improving workload utilization levels.
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