Altinity, Inc.

Your #OTel spans are telling you something. The hard part is getting them to actually say it. 👀 One pattern that helps: error rate by service. It's a core RED metric, and in #ClickHouse® it's a straightforward aggregation: SELECT ServiceName, count() AS total_spans, countIf(StatusCode = 'Error') AS error_spans, round(error_spans / total_spans, 4) AS error_rate FROM otel_traces WHERE Timestamp >= NOW() - INTERVAL 1 HOUR GROUP BY ServiceName ORDER BY error_rate DESC, error_spans DESC; ⚙️ Want to try this query? We put together a small #demo: https://hubs.ly/Q04c5m6T0 (Note: the demo ships with logs data. To run this traces query, send your own OTel data to the demo setup.)

Most ClickHouse® deployments weren't designed with AI agents in mind. 🤖 Authentication patterns that work fine for human users can get complicated fast when you add autonomous agents that need data access at scale. #OAuth is a standard protocol for single sign-on that has developed into a popular way for AI agents to access data securely. And now, it's available in open source #AltinityAntalya builds. 😎 On April 28 (8–9 AM PDT), we'll show exactly how it works: ✅ configuration ✅ real application usage ✅ #AI agents, and the roadmap for what's coming next If you're thinking about how to make your #ClickHouse deployments AI-ready without compromising on security, this is a useful hour. #SSO https://hubs.ly/Q04d9ddc0

Two of the most common frustrations with ClickHouse® on #datalakes: slow Iceberg query starts, and the overhead of re-reading #Parquet metadata on repeated queries. 🐌 #AltinityAntalya 26.1 addresses both, with async Iceberg metadata prefetch and a new Parquet metadata cache, alongside a bigger set of improvements for teams running #ClickHouse on object storage. This release also adds Google BigLake catalog integration, PREWHERE pushdown for #Iceberg tables, role-based access to AWS Glue, EC JWT validation, and TRUNCATE TABLE support for Iceberg with REST catalog backends. 🚀 Available now for AMD64 and Aarch64: https://hubs.la/Q04cKr6g0

Here's something worth knowing if you're running #ClickHouse® in a multi-AZ setup: cross-zone network traffic isn't just a latency consideration. It's a cost one. 💰💰💰 #AWS charges $0.01/GB for cross-zone transfers on both ingress and egress. At tens of TB/day, that can quietly add up to several hundred dollars in network costs daily, coming from four places: the load balancer, #datareplication, Keeper communication, and Keeper's internal replication Altinity CTO Alexander Zaitsev wrote a detailed walkthrough of what generates that traffic and how to reduce it: https://hubs.la/Q04cKg070

Raw logs don't help you debug. Knowing what changed, when, and whether it's getting worse does. 📉 A natural starting point when working with #OTel log data in #ClickHouse® is log volume over time. Simple, but it turns noise into something you can actually act on. 🛠️ From there you can: • slice by service, • filter by specific attributes, or • search for strings across your log body Each step narrows the problem space. The guide we put together walks through these patterns in order, with runnable queries for each: https://hubs.la/Q04bVx9Q0

Most teams don't have an #observability problem. They have a "can't turn data into answers" problem. 😅 Logs, metrics, and traces are all there, but: • they live in different places, • they're hard to query together, and • dashboards show symptoms, not causes The hard part isn't collecting telemetry. It's actually using it. So, we put together a practical query guide for working with OTel data in #ClickHouse® once it's ingested, covering logs, metrics, traces, and resource attributes, with patterns you can use to build #Grafana dashboards and debug production systems. 📥 Download it: https://hubs.la/Q04bVgVV0

❄️ Managing #ApacheIceberg tables from the terminal shouldn't require writing custom tooling every time. Altinity Ice is built for that. 🆕 What's new in the latest v0.13.0? • GCS support joins existing S3 and local storage options • New commands for inspecting #Parquet files, and listing files, partitions, and namespaces make it easier to understand what's actually in your #datalake • Shell autocompletion and configurable compression round it out for daily use • The REST catalog component now ships with Iceberg metrics and a #Grafana dashboard If you're building on Iceberg and want something that just works from the terminal, this is it: https://hubs.ly/Q04bm7Gr0

The Altinity #Kubernetes Operator for ClickHouse® does a lot more than most people realize. If you're managing #ClickHouse clusters on Kubernetes, or thinking about it, join us at the April Office Hours starting in an hour (8 am PT). Live Q&A with the engineers who built it. 👉 https://hubs.la/Q049Pd5Y0

Running ClickHouse® on #Kubernetes and hitting walls? Cluster config, upgrades, storage... it adds up fast. 🥲 Join us April 7 (8–9 AM PDT) for Office Hours, where we're diving into the Altinity Kubernetes Operator for #ClickHouse: how it works, what it solves, and how to get the most out of it. Bring your questions. Our engineers will be live. 👉 https://hubs.la/Q049cv-B0