Peter Barnett retweeted
ICYMI: #InfluxDB 3.11 is built for time series workloads that keep getting more complex.
⚡ Up to 4× faster selective queries
🗂️ Wider + ultra-sparse schema support
📈 More predictable performance under heavy load
🛠️ New Enterprise data management capabilities
Watch the video to learn more! @PeteWithProduct
I think the release of Bun 1.4 marks the end of programming as we know it. Anthropic and OpenAI developers live in the near future and if we pay attention, it's what's coming for the rest of us by next year: pauldix.com/the-end-of-progr…
Peter Barnett retweeted
InfluxDB 3.9 is out today!
This release focuses on making InfluxDB 3 more predictable in production with more control as you scale.
➡️ We’re also excited to open up a performance preview (beta) in Enterprise.
Time series performance isn’t one-size-fits-all. It’s shaped by data distribution, ingest patterns, query access, and cardinality, and small differences can completely change how a system behaves at scale. That’s why we’re introducing these changes as a preview: to see how they hold up across real workloads before becoming the default.
These updates focus on smoothing resource usage under load, improving long-range single-series queries, and supporting very wide to highly sparse schemas.
PM @PeteWithProduct breaks it down: bit.ly/4dl616N
Peter Barnett retweeted
BIG NEWS from #InfluxData and @awscloud.
We’re expanding InfluxDB 3 on Amazon Timestream for InfluxDB with support for clusters up to 15 nodes, unlocking massive ingestion throughput, higher query concurrency, and true workload isolation for the most demanding time series workloads.
We’re also introducing a seamless migration path from InfluxDB 3 Core to Enterprise, so teams can scale from a single node to enterprise-grade clusters without downtime or rearchitecting their system.
As telemetry grows from minute-level metrics to high-resolution, real-time data streams, developers need infrastructure that scales just as fast.
Read more from our CMO, Pat Walsh: bit.ly/40AfQWQ
Peter Barnett retweeted
Scaling time series workloads doesn’t have to be complicated.
In this video, InfluxData PM @PeteWithProduct shows how #InfluxDB 3 Enterprise delivers high availability, flexible node scaling, and lightning-fast queries, without adding complexity.
Peter Barnett retweeted
Scaling time series workloads doesn’t have to be complicated.
In this video, InfluxData PM @PeteWithProduct shows how #InfluxDB 3 Enterprise delivers high availability, flexible node scaling, and lightning-fast queries, without adding complexity.
Peter Barnett retweeted
#InfluxDB 3's Python Processing Engine runs inside the database, executing custom code next to your time series data.
No external VMs, no latency, no waiting: bit.ly/4mFcL1C by InfluxData Lead Product Manager @PeteWithProduct via @InfoWorld
Peter Barnett retweeted
🔥🔥🔥 Things are heating up! Open source InfluxDB 3 is now generally available!
Start running InfluxDB 3 Core today and explore the built-in Python Processing Engine that makes real-time data transformation and automation a breeze.
We can’t wait to see what you build. Share your projects built on #InfluxDB with us.
Fun fact: Rubik's first product was the Rubik's InfluxDB3EnterpriseThreeNodeClusterSetup, but that was way too easy and simple, so he created the Rubik's Cube.
The more you know.
#influxdb
Excited to announce that InfluxDB 3 Core and Enterprise are both in public beta today! We've got a lot of big updates since we launched in January and there's a lot more incoming as we approach GA in April.
Replying to @pauldix
I talk about the beta, what to expect during this period and our path to GA in the release announcement: influxdata.com/blog/influxdb…
Peter Barnett retweeted
Big news from InfluxData + @AWScloud!
We’re expanding our partnership with AWS to make running large-scale time series workloads even easier.
With Amazon Timestream for #InfluxDB, developers can run open source InfluxDB natively on AWS—fully managed, no self-hosting required. Now, we’re adding Read Replicas, built for high performance and enterprise-grade reliability.
Read Replicas let developers handle high query loads, maintain uptime with automatic failover, and sustain great write performance—without the headaches of managing multi-node clusters. Simple, fast, and ready to scale mission-critical workloads on AWS.
➡️ Now live in the AWS Console. Spin it up and scale—without the overhead: bit.ly/4k1IdWr
Peter Barnett retweeted
This week, we went live with the community to dive into #InfluxDB 3 Core and InfluxDB 3 Enterprise, breaking down the latest features and updates.
Get the scoop on this week’s updates and key features of our latest products from Founder & CTO @pauldix and Senior Product Manager @PeteWithProduct.
📺 Watch on-demand: bit.ly/3WfR78o
ICYMI, get out the full release details: bit.ly/4abQv9M
Share your feedback on Discord to help share the future of Core: bit.ly/42eEMoH
Peter Barnett retweeted
📌 InfluxDB 3 Open Source Public Alpha is here!
We’ve released #InfluxDB 3 Core, a high-performance engine with unlimited cardinality, fast ingestion, and low-cost object store, all built on a revamped architecture.
Along with Core, InfluxDB 3 Enterprise is now available, offering long-range querying, high availability, scalability, and enhanced security.
For hobbyists and at-home users, we’re offering a free tier of InfluxDB 3 Enterprise!
📣 Read the announcement: bit.ly/4abQv9M
💻 Downloading InfluxDB 3 Core: bit.ly/3WqN1ur
🌟 Discover Enterprise: bit.ly/42qwOt1
💬 Join the Discord to share your feedback: bit.ly/42eEMoH
Peter Barnett retweeted
Don't miss tomorrow's webinar on InfluxDB 3 Core and Enterprise with our Founder and CTO @PaulDix and Senior Product Manager @PeteWithProduct.
➡️ #InfluxDB 3 Core: Our new #OpenSource product, licensed under MIT and Apache 2. Core is a high-performance recent-data engine.
➡️ InfluxDB 3 Enterprise: A commercial offering that builds on Core’s foundation and adds long-range querying, read replicas, fine-grained security, and more.
You won't want to miss this one: bit.ly/3WfR78o
A big update today to InfluxDB 3 Core based on your feedback and a spicy announcement about InfluxDB 3 Enterprise for use at home! 🌶️
We've been listening to your feedback during the 𝐈𝐧𝐟𝐥𝐮𝐱𝐃𝐁 𝟑 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 alpha release, and we're making big changes.
🕒 Write and query any time period: We’ve expanded #InfluxDB 3 Core’s capabilities so you can write and query data from any time period. The total time range of an individual query will still be limited due to technical limitations, but data from any time period is accessible.
📊 Free Enterprise for at-home projects: Running InfluxDB at home? We’re offering a free tier of InfluxDB 3 Enterprise for non-commercial use. Join our Discord and share what rate limits work for your use case: discord.com/invite/9zaNCW2PR…
Read more from our Founder & CTO, @PaulDix: bit.ly/4h2l6Jr
Peter Barnett retweeted
🚀 Get started with #InfluxDB 3 Core, now in public alpha!
@PeteWithProduct walks you through our latest #OpenSource, single-node time series engine—designed for real-time monitoring, data collection, and streaming analytics, delivering exceptional performance for recent data.
InfluxDB 3 Core is dual-licensed under MIT or Apache 2, and we want your input! Share your feedback and connect with our team in our new Discord channel: discord.gg/vZe2w2Ds8B
Peter Barnett retweeted
Join InfluxData Founder and CTO @pauldix and Sr. Product Manager @PeteWithProduct on Jan. 28 for a webinar on #InfluxDB 3 Core and Enterprise!
➡️ InfluxDB 3 Core: Our new open source product, licensed under MIT and Apache 2. Core is a high-performance recent-data engine.
➡️ InfluxDB 3 Enterprise: A commercial offering that builds on Core’s foundation and adds long-range querying, read replicas, fine-grained security, and more.
Register here: bit.ly/3WfR78o
It's just absurdly fast.
Super quick. Almost ridiculously fast. ⚡ Get started with InfluxDB 3 Core, our new open source recent-data engine—now in public alpha!
InfluxData Product Manager @PeteWithProduct breaks it down step by step, getting you up and running in seconds. ⏱️











