tiwarinitish86
Show HN: OTel native agent to instrument applications
Data Is Your Moat
Re:Data Is Your Moat
on Tuesday February 17, 2026 @06:07AM (#47046118)
When everyone has access to roughly equivalent models, the differentiator is what you feed your model. It is time to look at data retention
We profiled FluentBit and OTel: FluentBit uses 50% CPU and 5x less network
How much it costs to ingest, store and query 100TB telemetry data per day
The Economics and Physics of 100 TB daily telemetry data
Re:The Economics and Physics of 100 TB daily telemetry data
on Tuesday July 22, 2025 @11:17AM (#44648114)
Infrastructure has become a key driver of observability cost. More than data volumes, this is because of approaches like replication, cross AZ data transfer and almost no compression.
In this post we explain the infra cost of running Parseable for 100TB telemetry data on a daily basis. This is based on extrapolating ingestion volumes for an hour.
Looking forward to your comments / feedback on this!
Zero-Shot Forecasting: Our Search for a Time-Series Foundation Model
Zero shot forecasting: finding the right foundation model for O11Y forecasting
Re:Our learnings with OTEL Traces in columnar files
on Monday April 28, 2025 @01:01PM (#43823576)
Traces are one of most difficult observability signals to work with. You need a lot of work on the application and infrastructure instrumentation to get it right.
Once the hard work is done on the client side, you'd expect to extract max value from the this trace data (and not set small retention to save cost).
We worked hard to understand (and explain) how OTEL traces can be efficiently stored, queried and analysed on Parseable using the ubiquitous Parquet file format. Read on!
Our learnings with OTEL Traces in columnar files
Re:High cardinality meets columnar time series system
on Thursday April 17, 2025 @02:27PM (#43720488)
Columnar formats allow side stepping of some of the most critical issues that plague time series databases. Each label essentially becomes a column which is then efficient to parse through.
Diskless Observability Database in Rust
Performance is table stakes for data systems
Monitoring your PostgreSQL database with Rust stack
Parseable: Observability database to compress and query at scale
Using Anthropic MCP to build observability dashboard
Show HN: Rust based log analytics with Parquet on S3
https://github.com/parseablehq/parseable
For write once, read many, immutable data types, Parquet on S3 is one of the most economical and scale approach.Every organisation I have talked to, in the last few years has attempted some form of Parquet on S3 implementation.However, these initiatives face challenges in standardising the approach for both ingesting and querying the data. Data quality, data governance and access control -...
OpenAI based SQL generation for logging – private, self hosted
Re:Alerts on unauthorised access to Kubernetes secrets
on Friday September 08, 2023 @01:33PM (#37436693)
Secrets in Kubernetes as are only encoded, not encrypted by default. Due to this, there is always a concern around unauthorised access to secrets.
This posts explains a step by step guide to receive alerts in case of any unauthorised access to a secret.
Alerts on unauthorised access to Kubernetes secrets
Show HN: Command line query for all your unified log data
Understanding the history of log data analytics
Re:I can't recommend serious use of an all-in-one local Grafana Loki s...
on Saturday April 29, 2023 @08:40AM (#35752339)
Will do soon!
Re:I can't recommend serious use of an all-in-one local Grafana Loki s...
on Saturday April 29, 2023 @08:39AM (#35752331)
Not yet, but we have this on roadmap. We'll add this within a few months.
Re:I can't recommend serious use of an all-in-one local Grafana Loki s...
on Friday April 28, 2023 @11:57AM (#35742991)
Parseable is an open source Loki alternative.
- Single binary - Written in Rust (lightweight, fast and stable) - Use S3 bucket or Mount point - Visualize with Grafana
https://github.com/parseablehq/parseable
(founder here)