????’?? ???????? ????. ????????: Can Pete launch a 3-node InfluxDB 3 Enterprise cluster before Pete solves a Rubik’s Cube? ?? Spoiler alert… . . . ?It wasn’t even close. Pete wins. ??
InfluxData
软件开发
San Francisco,California 21,210 位关注者
Creator of InfluxDB, the leading time series data platform
关于我们
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.
- 网站
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https://www.influxdata.com
InfluxData的外部链接
- 所属行业
- 软件开发
- 规模
- 201-500 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2012
- 领域
- Database、IoT、Monitoring、InfluxDB、Telegraf、IIoT、Time Series、Real-Time Analytics和Analytics
地点
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主要
548 Market St
PMB 77953
US,California,San Francisco,94104
InfluxData员工
动态
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Our CEO, Evan Kaplan, joined the The IT/OT Insider podcast for a deep dive into real-time monitoring, edge processing, and AI-powered analytics in industrial environments. Watch the whole conversation as Evan and David Ariens explore: ?? How time-series data has become critical in manufacturing. ?? The shift from on-prem to cloud-first architectures. ?? The role of open source in industrial data strategies. ?? How AI and automation are reshaping data-driven decision-making. https://bit.ly/4hOofMC #InfluxDB
Industrial DataOps #8 with InfluxData - Evan Kaplan on how Developer-Led Innovation is Reshaping Industrial Data
itotinsider.substack.com
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InfluxDB 3 Core (licensed under MIT/Apache 2) and Enterprise are both in beta! Key improvements since alpha: ?? Write-Through Caching for Faster Query Performance InfluxDB 3 Core and Enterprise use object storage, but fast queries need hot data in RAM. A single request to object storage can slow things down, so we use write-through caching to keep recent data in RAM—ensuring quick responses when cache space allows. ?? Processing Engine During the alpha, we built a Python-based processing engine for data transformation, enrichment, downsampling, and alerting. It supports triggers on writes, schedules, or HTTP requests. The InfluxDB 3 Plugins Repo has examples, plus new API functions for querying, writing, and caching: https://lnkd.in/eXd6Mj44 ?? Simplifying Multi-Server Enterprise Clusters InfluxDB Enterprise simplifies multi-server cluster management. Nodes share data via object storage while staying isolated for fault tolerance. It separates ingest, compaction, queries, and triggers, letting operators scale each component independently. Learn more about what to expect during beta, and keep your eyes open for the GA release next month! https://bit.ly/4hccjE9 #InfluxDB
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InfluxData转发了
Looking forward to joining Matt Turck this week at Data Driven NYC. We’ll be diving into a topic that’s becoming central to modern software: the critical role of time series data in building intelligent, autonomous systems. Whether it’s predictive maintenance, real-time monitoring, or powering AI, today’s systems are evolving to detect, respond, and improve—instantly. And time series data makes it all possible. Excited to share how InfluxData is helping developers harness this data to power the next wave of innovation.
Top notch speaker line-up for Data Driven NYC #116 on March 26: * Mike Palmer, CEO, Sigma * Evan Kaplan, CEO, InfluxData * Angela McNeal, CEO, Thread AI * Alex Atallah, CEO, OpenRouter As always, the event is a) in person in NYC, b) free and c) open to everyone but you must RSVP at the link below
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IoT, industrial automation, and AI-driven analytics all depend on time series data to make split-second decisions. But as workloads grow, keeping up with speed, scale, and availability gets harder. That’s why InfluxData and AWS launched Amazon Timestream for InfluxDB Read Replicas—now GA! If you’re running InfluxDB 2.7 OSS on AWS, Read Replicas make it easy to: ? Scale queries across availability zones ?? Ensure uptime with hot standby failover ?? Increase write throughput for high-ingestion environments ?? Boost reliability—without managing a multi-node cluster Get started now in the AWS Management Console: https://bit.ly/4gOEj08 #InfluxDB
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Apache DataFusion has matured beyond early adopters and is a viable choice for those building highly performant analytic systems. InfluxData Staff Engineer Andrew Lamb predicts 2025 will bring significant growth—and he's making it happen: https://bit.ly/42eSEzg
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InfluxData转发了
A new era of manufacturing is here, driven by data that never stops moving. I joined The IT/OT Insider Podcast to share what we’re seeing at InfluxData: a world where real-time decision-making, edge processing, and AI-powered analytics are reshaping how industrial systems operate. High-resolution time series data is at the center of it all. AI is on everyone’s radar, but it’s only as effective as the data behind it. That means building systems that don’t just react—they predict, respond, and evolve autonomously. If you’re working at the intersection of industrial systems and modern data infrastructure, this conversation will feel familiar—and point to what’s next:?https://lnkd.in/gZ37it93 #InfluxDB
Industrial DataOps #8 with InfluxData - Evan Kaplan on how Developer-Led Innovation is Reshaping Industrial Data
itotinsider.substack.com
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?? Power up your energy operations with real-time data! Join our live demo to see how InfluxDB helps energy companies optimize grid reliability, predictive maintenance, and distributed energy resources monitoring at scale. Register today! ? https://bit.ly/4iI7SCe with Ben Corbett, Solutions Engineer, InfluxData #InfluxDB
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Get hands-on with InfluxDB 3 Core, now in public beta. Join our training on March 27 to explore its processing engine, Last Value Caches, and real-time analytics capabilities. Register now! ?? https://bit.ly/41KIkNH with Developer Advocate Anais Dotis #InfluxDB
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InfluxData is heading to HANNOVER MESSE 2025! ?? Visit us at booth H38 to discover how InfluxDB supports real-time IoT and IIoT workloads at scale. From monitoring industrial operations to optimizing sensor data, our time series experts are here to help you move faster with InfluxDB. ? https://bit.ly/418mT8S #InfluxDB #HM25
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