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Pepperdata

Myth #3 of Kubernetes Resource Optimization: Instance Rightsizing

Jun 12, 2025 By Pepperdata In Pepperdata
In this blog series we are examining the Five Myths of Kubernetes Resource Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Kubernetes practitioners: Choosing the right instances will eliminate waste in a cluster.
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influxdata

Beyond Storage: How Time Series Databases Are Becoming Intelligent Data Engines

Jun 12, 2025 By Allyson Boate In InfluxData
Data isn’t just 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 businesses a live view of their operations and the opportunity to catch issues early, adjust quickly, and operate more efficiently.
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manageengine

Top tips: Dismantling data silos in your organization

Jun 12, 2025 By Eric Roshaan In ManageEngine
Top Tips is a weekly column where we highlight what’s trending in the tech world and list practical ways to explore these trends. This week, we're going over how you can eliminate data silos in your organization to enable smoother data flows. The free flow of data is one of the clearest signs of organizational health. When data is locked away—isolated in disparate systems that don’t communicate with each other—you’re dealing with a data silo.
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Aiven

The 3 Es of Diskless Kafka BYOC

Jun 11, 2025 By Filip Yonov In Aiven
Diskless Kafka splits storage from compute, delegating replication to cheap object storage and turning Apache Kafka Brokers into a stateless compute layer. It’s 100% Kafka, and 80% cheaper. But in the cloud, a cheaper underlying technology does not always mean you pay less. The cost varies significantly depending on the deployment model - SaaS or BYOC. In this article, we will learn why.
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canonical

Apache Spark security: start with a solid foundation

Jun 10, 2025 By Giulia Lanzafame In Canonical
Everyone agrees security matters – yet when it comes to big data analytics with Apache Spark, it’s not just another checkbox. Spark’s open source Java architecture introduces special security concerns that, if neglected, can quietly reveal sensitive information and interrupt vital functions.
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influxdata

Moving from Relational to Time Series Databases

Jun 10, 2025 By Heather Downing In InfluxData
I’ve been building apps with SQL Server for years. Everything worked well until I started dealing with sensor data, stock trade volume, and IoT telemetry. As the volume of time-stamped records grew into the millions, I saw relational databases struggling with workloads they weren’t designed for. That’s when I explored time series databases. The performance improvements were significant, but what surprised me was the mental shift required.
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What's Inside InfluxDB 3.1

Jun 6, 2025 By InfluxData In InfluxData
InfluxDB 3.1 is now available for both Core and Enterprise editions, bringing significant improvements that make managing high-volume, high-velocity time series data even easier, faster, and more secure. InfluxDB 3 Core is the free, open source edition of InfluxDB 3—a high-speed, recent-data engine licensed under MIT and Apache 2. InfluxDB 3 Enterprise is the commercial version of Core, adding support for longer-term historical queries, high availability, enhanced security, and more.
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influxdata

Edge Data Replication: Contributions and Status Updates for InfluxDB 3

Jun 3, 2025 By Anais Dotis-Georgiou In InfluxData
If you’ve ever stood up multiple edge InfluxDB instances in remote locations and wished you could consolidate their data into a centralized instance for analysis, you’re not alone. That’s exactly why we designed Edge Data Replication (EDR) in InfluxDB v2. Now, with InfluxDB 3 Core and 3 Enterprise, we’re seeing new ways to handle replication using the brand-new Python Processing Engine.
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