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github.com 1mo ago

Amp inspired extension for pi agent

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3pts1
github.com 1mo ago

Exploring Otel data in the console via axiom.co

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7pts3
www.tremor.rs 5y ago

Tremor is now a CNCF Sandbox Project, oh and we just released v0.9

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2pts1
blog.project-fifo.net 8y ago

FiFo.cloud VPN – networking in hybrid cloud envrionments

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7pts1
blog.project-fifo.net 8y ago

Fifo.cloud – the problem we solve

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5pts0
blog.project-fifo.net 8y ago

Fifo.cloud announces public beta

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5pts0
blog.project-fifo.net 8y ago

SmartOS and FreeBSD multi cloud management for everyone

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9pts3
blog.project-fifo.net 8y ago

FiFo / FreeBSD Jail management on DO in under 30 minutes

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7pts0
blog.project-fifo.net 8y ago

FreeBSD cloud management with FiFo 0.9.3

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6pts1
blog.project-fifo.net 8y ago

(r)vmadm – managing FreeBSD jails

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8pts1
blog.project-fifo.net 9y ago

The lies we tell (during benchmarks)

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3pts0
project-fifo.net 10y ago

Project-FiFo Zero Touch Cloud Released

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4pts1
blog.project-fifo.net 10y ago

DalmatinerDB: Querying with confidence

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2pts0
blog.project-fifo.net 10y ago

DalmatinerDB metrics get tags

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1pts0
github.com 10y ago

Vanguard – a Consul cone in 350 lines of Erlang

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3pts0
blog.project-fifo.net 10y ago

FiFo 0.8.0 adds dynamic DNS support to SmartOS Clouds

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3pts0
blog.project-fifo.net 10y ago

Docker comes to FiFo – 0.7.1 released

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4pts0
blog.project-fifo.net 10y ago

The art of writing a ticket

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1pts0
blog.project-fifo.net 10y ago

Project FiFo – SmartOS Cloud Orchestration – 0.7.0 Released

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3pts0
blog.vrocket.io 10y ago

So, what is SmartOS?

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3pts0
blog.project-fifo.net 10y ago

The stack we choose: Erlang, SmartOS, Clojure

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61pts20
blog.project-fifo.net 10y ago

SmartOS backups with Project-FiFo

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1pts0

We created a fun little tool that lets people explore the Otel data (Traces, Logs, Metrics) they send to axiom via the console in a vi-control inspired terminal ui. As a bonus we bumped the free plan to 3 datasets so everyone can take full advantage of the ax :D

It also serves as a nice showcase what kind of tools can be built with using nothing but the public APIs

28 billion data points in 50 gigabytes are not impressive for time series use. That's nearly 2 bytes per data point, many time series databases achieve 1 or less byte per data point.

Because labels or dimensions are not stored in as a value but as a row identifier in most implementations. That results in having to scan the entire row space and look at every row name and see if it matches the lookup.

Storing labels in a row based system (like SQL) allows querying by value, not column name which takes advantage of all optimizations and indexes making it a lot faster.

That said there is nothing forbidding someone to do both, DalmatinerDB, for example, uses a column-based format for metric values but a row-based format (PostgreSQL) for dimensions.

I helped to create that spreadsheet we tried to be as fair as possible and whenever possible link reproducible, verifiable benchmarks (but then again all benchmarks are lies ;).

Please don't quote me on this. I think it's not a License question but they're taking a different approach. Linux binary compatibility has been around for a while now, at least longer than modern LX zones (I don't know about old Solaris lx zones).

There are some more subtle differences like the for BSD Linux emulation is a global setting and 'lx jails' are just jails w/ a Linux userland while branded zones are special kind of zones.

Overall quite good, the system is very stable and the performance is good (probably not the fastest but decent).

The only thing to criticise (to a degree) would be that if the manual isn't followed precisely during the installation you can end up with a busted setup.

For why the choice. It's a solid distributed system, the concepts it uses the same principles as FiFo (masterless setup for high availability). Being written in Erlang means it works flawlessly on SmartOS and FreeBSD plus if you already use erlang gives the advantage to be able to look at the code if needed.

The LeoFS team is very quick to respond, works extremely diligent and takes their work serious (which is a big plus).

Even on the test system which gets brutally shut down (aka plugs pulled) about once or twice a week the installation works flawlessly even after a few month of this torment.

Of cause as always YMMV ;)

Mariano is correct, DalmatinerDB is build and maintained by Project-FiFo. Dataloop (the authors of the blog post) is currently the biggest user (as far as I know at least), using it in their SaaS.

They have however been excellent open source citizens and contributed back improvements, bug reports and suggestions.

DalmatinerDB has been around for a while now. I started working on it during the EUC in 2014, and it was released as part of ProjectFiFo the same year I just really suck at marketing ;).

But I'm kind of curious, are you using Dalmatiner directly? And if so what is your use case?

Actually let me put that paragraph fully in context with the reality.

UDP is no longer used (this is outdated sorry for that), the connection is TCP now as it turned out over all the performance was better.

Dataloss can still occur since DalmatinerDB keeps a cache (which other metric stores might also do). A lot of that can be mitigated by using N=2 (or 3) to store data in multiple nodes that will reduce the chance of dataloss significantly. Keeping caches isn't uncommon however, to ensure full consistency it requires a kind of transaction from that goes from client to server to client, which is 'really' costly and I am convinced not worth it for metrics, a few seconds of lost metrics doesn't warrant the cost of that.

The situation you describe is more an event then it is an metric, and indeed postgres is much better suited for it, if asked that is what I'd recommend for this kind of issue.

What DalmatinerDB was build of is handling high numbers of metrics like CPU usage, memory usage, etc, everything where for every point in time you have exactly 1 value. In that space it can handle millions of metrics (read millions of inserts) at the same time where a system like postgres would stat to have problems in my experience.

I feel that time series implies different tradeoffs, this is very specifically build for metrics in the sense of application or hardware metrics which usually have a time time dimension but yes there are no general valid definitions

I find it interesting that the SFConservancy argues 'Oracle has a magic wand to make this all go away' by re-licensing ZFS but completely ignores that just as much they could re-license the kernel under a CDDL compatible license. Given that Linux (in the broader sense) is asking for something it'd sound more reasonable for them to accomodate the other parties demands.

What they do is like saying "Hey I want to buy your house, what you don't want to sell it? How about you make it cheaper then so I can afford it!"