tenzir
Grafana
tenzir | Grafana | |
---|---|---|
15 | 380 | |
615 | 60,624 | |
1.5% | 1.0% | |
10.0 | 10.0 | |
5 days ago | 4 days ago | |
C++ | TypeScript | |
BSD 3-clause "New" or "Revised" License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tenzir
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Vector: A high-performance observability data pipeline
We're building something similar at Tenzir, but more for operational security workloads. https://docs.tenzir.com
Differences to Vector:
- An agent has optional indexed storage, so you can store your data there and pick it up later. The storage is based on Apache Feather, Parquet's little brother.
- Pipelines operators both work with data frames (Arrow record batches) or chunks of bytes.
- Structured pipelines are multi-schema, i.e., a single pipeline can process streams of record batches with different schemas.
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Ask HN: Who is hiring? (March 2024)
Tenzir | Remote (EU) or Hamburg, Germany | open-core | Full-time | https://tenzir.com
Tenzir is hiring several key engineering roles to meet the needs in expanding the team. Our product: security data pipelines. From the data side, think of it as an Arrow-native, multi-schema ETL tool that offers optional storage in Parquet/Feather. From the security perspective, think of it as a solution for collecting, parsing, transforming, aggregating, and routing data. We typically sit between the data sources (endpoint, network, cloud) and sinks (SIEM, data lake).
Our open-source execution engine is C++20 (https://github.com/tenzir/tenzir), our platform is SvelteKit and TypeScript. Experience with data-first frontend apps is a great plus. Open positions at https://tenzir.jobs.personio.de:
- Fullstack Engineer
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Pql, a pipelined query language that compiles to SQL (written in Go)
We're in the middle of getting TQL v2 [] out of the door with support for expressions and more advanced control flow, e.g., match-case statements. There's a blog post [#] about the core design of the engine as well.
While it's a general-purpose ETL tool, we're targeting primary operational security use case where people today use Splunk, Sentinel/ADX, Elastic, etc. So some operators are very security'ish, like Sigma, YARA, or Velociraptor.
[] https://github.com/tenzir/tenzir/blob/64ef997d736e9416e859bf...
[#] https://docs.tenzir.com/blog/five-design-principles-for-buil...
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Cisco Acquires Splunk
Hey, founder of Tenzir [1] here — We are building an open-core pipeline-first security data engine that can massively reduce your Splunk costs. Even though we go to market "mid stream" we have a few users that use us as light-weight SIEM (or more accurately, just plain log management).
We are still in early access to browse through our docs or swing by our Discord.
[1] https://tenzir.com | https://docs.tenzir.com
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VAST 3.1 open-source security data pipelines released
Download VAST v3.1 here: https://github.com/tenzir/vast/releases/tag/v3.1.0
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C++ Jobs - Q2 2022
Tenzir is a funded seed-stage startup that builds a next generation data-plane for plug-and-play security operations. Our mission is to empower defenders with an open data engineering platform to perform data-driven investigations through combination best-of-breed solutions. Our stack consists of the high-performance C++20 telemetry engine VAST, a Rust API, and a ReasonML-based frontend.
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Parallel Grouped Aggregation in DuckDB
I had chat with Hannes, the DuckDB co-founder, a few weeks ago. They are building awesome stuff to become the "SQLite of OLAP". The team comes with a strong academic background and is tuned into the data engineering world.
At Tenzir, we looked at DuckDB as embeddable backend engine to do the heavy lifting of query execution of our engine [1]. Our idea is throwing over a set of Parquet files, along with a query; initially SQL but perhaps soon Substrait [2] if it picks up.
We also experiment with a cloud deployment [3] where a different set of I/O path may warrant a different backend engine. Right now, we're working on a serverless approach leveraging Datafusion (and depending on maturity, Ballista at some point).
My hunch is that we will see more pluggability in this space moving forward. It's not only meaningful from an open-core business model perspective, but also pays dividends to the UX. The company that's solving a domain problem (for us: security operations center infrastructre) can leverage a high-bandwidth drop-in engine and only needs to wire it properly. This requires much less data engineers than building a poorman's version of the same inhouse.
We also have the R use case, e.g., to write reports in Rmarkdown that crunch some customer security telemetry, highlighting outliers or other noteworthy events. We're not there yet, but with the right query backend, I would expect to get this almost for free. We're close to being ready to use Arrow Flight for interop, but it's not zero-copy. DuckDB has demonstrated the zero-copy approach recently [4], going through the C API. (The story is also relevant when doing s/R/Python/, FWIW.)
[1] https://github.com/tenzir/vast
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C++ Jobs - Q4 2021
To this end, we build the high-performance telemetry engine VAST, which at its core, ingests hundreds of thousands of events per second from high-volume data sources (such as network telemetry as NetFlow, Zeek, Suricata, and endpoint telemetry from various agents). To the user, VAST offers low-latency access through various APIs, and in particular Apache Arrow for high-bandwidth data sharing with downstream tooling. A flexible plugin API enables additional security-specific use cases on top, such as realtime matching of threat intelligence or mining of asset data for passive inventorization.
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Ask HN: Who is hiring? (October 2021)
Tenzir | C++, ReasonML, Rust, Python | Remote | Open-source | Full-time | https://tenzir.com
Tenzir is a funded seed-stage startup that builds a next generation data-plane for plug-and-play security operations. Our mission is to empower defenders with an open platform to perform automated data-driven investigations through combination best-of-breed solutions. Our stack consists of the high-performance C++ database VAST (https://github.com/tenzir/vast), a Rust API, and a ReasonML-based frontend.
Our open engineering positions include:
- Database: https://tenzir.com/career/backend-engineer/
- DevOps: https://tenzir.com/career/devops-platform-engineer/
- Frontend: https://tenzir.com/career/frontend-engineer/
We are based out of Hamburg, Germany, but cultivate an agile remote-first mindset. If you live in the region and look for a System Administrator, we’d love to hear from you!
For any questions, feel free to reach out to us at [email protected].
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Hiring: ReasonML Frontend Engineer - Remote EU
We at Tenzir (https://tenzir.com/) are an early-stage startup that build a next generation data-plane for modern Security Operations Centers. We are looking for a frontend engineer to help us enhance the web interface to VAST (our open-core telemetry engine, https://github.com/tenzir/vast). In our stack, we use C++ for VAST , Rust and ReasonML (compiled to JS) in our API-Layer, and ReasonML on the frontend. Our website is written in ReasonML with the help of Gatsby. Our team cultivates a mindset of strong typing and functional programming, practiced end-to-end across the entire stack. We're a remote-first company, scattered across Europe. Ideally looking for someone within (+ / -) 4hrs timezone.
Grafana
- Grafana: From Dashboards to Centralized Observability
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Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
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Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
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The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
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Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
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Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
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How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
What are some alternatives?
webviz - web-based visualization libraries
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
exo - A process manager & log viewer for dev
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
dfir-orc - Forensics artefact collection tool for systems running Microsoft Windows
Heimdall - An Application dashboard and launcher
FFMpeg-Online - This repository catalogs a list of FFMpeg commands for different situations. By https://hotpot.ai.
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
Baserow - Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins
uptime-kuma - A fancy self-hosted monitoring tool