telemetry - Hyperbyte Cloud

telemetry

A collection of 7 posts

Every Sensor, Every Tick: InfluxQL Analytics on IoT Data at Scale

Millions of IoT sensors sending high-frequency data. Real-time dashboards querying across thousands of devices. This is where InfluxDB v1 starts to buckle—and where HyperbyteDB runs without compromise.

high-cardinality

Stop Watching Your Metrics Explode: High Cardinality Without the Rewrite

InfluxDB v1 crawls when cardinality hits the roof. HyperbyteDB handles it via Parquet and ClickHouse—same InfluxQL, no rewrite, no OOM. Here's how.

Your Old Data Isn't a Migration Blocker: Exporting Historical Time-Series from InfluxDB v1 to HyperbyteDB

Most migration guides cover updating Telegraf, Grafana, and your scripts. But historical data—months or years of it—gets left behind with no clear path forward. Here's how to export that data from InfluxDB v1 and load it into HyperbyteDB.

The InfluxDB v1 Migration Checklist: Which Clients Just Need a URL Change

Most migration posts focus on one client. The reality is InfluxDB v1 stacks have Telegraf, Grafana, custom apps, and scripts. Here's the client-by-client migration checklist that tells you which integrations just need a URL change and which need adjustment.

Before you trust our numbers, run this.

Benchmark numbers mean nothing without context. Here's how to run HyperbyteDB's own ingestion benchmarks, what each stage actually measures, and the environment metadata you need before comparing anything.

InfluxDB v1 Compatibility in HyperbyteDB: What Works, What Doesn't, and Why

How HyperbyteDB's InfluxDB v1 compatibility works end-to-end: line protocol, /write, /query, InfluxQL, Prometheus metrics—and where things diverge.

One URL to Drop In: InfluxDB v1 Compatibility in HyperbyteDB

Our strongest signal for product-market fit isn't a benchmark or a feature list—it's that teams drop in HyperbyteDB by changing one URL in their existing Telegraf configs. Here's what we validated and what to watch.