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Composing generic data structures in go
3 projects | dev.to | 30 Nov 2021
Recently a colleague, Nathan, reflecting on CockroachDB, remarked (paraphrased from memory) that the key data structure is the interval btree. The story of Nathan’s addition of the first interval btree to cockroach and the power of copy-on-write data structures is worthy of its own blog post for another day. It’s Nathan’s hand-specialization of that data structure that provided the basis (and tests) for the generalization I’ll be presenting here. The reason for this specialization was as much for the performance wins of avoiding excessive allocations, pointer chasing, and cost of type assertions when using interface boxing.
Stacked changes: how FB and Google engineers stay unblocked and ship faster
12 projects | news.ycombinator.com | 17 Nov 2021
I'm surprised Reviewable hasn't come up in this discussion. It does a great job of allowing stacked code reviews and even handles rebases nicely; the reviewer sees the diff between commit #1 and commit #1' (prime = after rebase).
CockroachDB has been using it since very early in the project.
1 project | reddit.com/r/facepalm | 6 Nov 2021
And even if you did want to run your database on a bunch of untrusted machines, a blockchain, being a linked list, is not a particularly efficient implementation. Its size increases linearly with the number of operations, which, for any rapid-fire application such as banking, means you have a tremendously inefficient marginal computational and storage cost per operation. You’d be considerably better off running something like Cockroach, or FoundationDB, or more ‘out-there’ offerings like Hypercore.
CockroachDB Grants and Schemas explained
1 project | dev.to | 28 Aug 2021
And here: https://github.com/cockroachdb/cockroach/issues/16790
Design to Duty: How we make architecture decisions at Adyen
1 project | dev.to | 28 Jul 2021
As you now know, we do not want to achieve this by restricting payments of some merchants to certain machines, as this would mean the machines are no longer linearly scalable. The information needs to be available locally, so we eventually decided on integrating Cockroach, a distributed database, with our PALs.
8 projects | dev.to | 15 Jul 2021
CockroachDB (label: E-easy) The Scalable, Survivable, Strongly-Consistent SQL Database
The start of my journey learning Go. Any tips/suggestions would greatly appreciated!
6 projects | reddit.com/r/golang | 29 Jun 2021
What is Cost-based Optimization?
4 projects | dev.to | 2 Jun 2021
In CockroachDB, the cost is an abstract 64-bit floating-point scalar value.
#30DaysofAppwrite : Appwrite’s building blocks
3 projects | dev.to | 3 May 2021
Appwrite uses MariaDB as the default database for project collections, documents, and all other metadata. Appwrite is agnostic to the database you use under the hood and support for more databases like Postgres, CockroachDB, MySQL and MongoDB is currently under active development! 😊
I am building a Serverless version of Redis - written in Rust
7 projects | reddit.com/r/rust | 2 May 2021
For me, if you look back to when Redis has been designed - 11 years ago, it was before the Cloud was a thing. Since then, you have Cloud alternatives that are mostly proprietary. The idea of RedisLess is not competing against a product that is existing for 11 years but showing a new path of how we can build a system on top of an existing one. You can see RedisLess as experimentation. How to build Cloud-native databases by taking advantage of existing solutions? TiDB, Yugabyte, CockroachDB are great examples of being MySQL wire protocol compatible and providing a Cloud way of managing data.
- Prometheus en AKS
Prometheus in AKS
So, let's jump directly to what we will be talking today here, Prometheus is a monitoring tool that is very popular in Kubernetes world as is one of the CNCF (Cloud Native Computing Foundation) projects and this means is a very mature product with a big support in the community.
My media server dashboard, been pretty happy with it for a while, trying to decided if I need any other info on it
7 projects | reddit.com/r/homelab | 29 Nov 2021
Are you looking for general container metrics, or the media server-specific metrics OP has? If you're just looking for general metrics, I just made a blog post tutorial on this, I can PM you if interested but I don't want to spam/self promote here. The three basic components are Grafana, Prometheus, and node exporter
Building a bare-metal Kubernetes cluster on Raspberry Pi
8 projects | dev.to | 26 Nov 2021
You can install Grafana and Prometheus to monitor your cluster resources. But here's a quick tip if all you want is to look at the CPU/Memory utilization:
The unbearable fussiness of the smart home
8 projects | news.ycombinator.com | 24 Nov 2021
> [...] that feed into a prometheus -> cortex store, so I can then map them on Grafana.
I had to Google because I've never heard of any of those. Did I find the right ones?
Mine is much more primitive. My indoor temperature monitor is an ESP8266 that uploads the temperature to a simple PHP page that saves it in an sqlite DB. A cron job runs a Perl script every few minutes that extract the data for the last hour, 3 hours, 12 hours, 48 hours, and since the beginning of time and uses gnuplot to produce PNG graphs. There's a static page on my server that displays those graphs.
My outdoor temperature monitor uses a cheap AcuRite 433 MHz indoor/outdoor thermometer I bought. I have an RPi with an RTL-SDR attached spying on the communications between the AcuRite sensor outside and the AcuRite display inside using rtl_433. A script looks at the rtl_433 and finds the AcuRite sensor data and puts it in an sqlite DB. I haven't yet gotten around to making something to graph it.
The nice thing about that approach is that it was also easy to add support for other 433 MHz wireless sensors near me, such as the AcuRite fridge/freezer thermometer I have. I can also see a few assorted sensors of neighbors (temperature, humidity, soil moisture, tire pressure, wind speed, wind direction, rain, and a few other random things). If I wanted to it would be easy to add them to the DB.
When I made a wireless tipping range gauge recently. I used a 433 MHz transmitter module  and added a decoder  to rtl_433 that understands my data stream format. That gets my data into the rtl_433 output. No need to futz around with 433 MHz receiver modules which appear to be a pain in the ass . An ATTiny85 counts the tips and runs the transmitter. The ATTiny85, the transmitter module, a battery holder, an RJ11 socket because the rain gauge has an RJ11 connector, a board to put those things on , and a small waterproof case is pretty much the complete parts list.
I think I'm going to standardize on this general approach. For things that do not have WiFi and only need to report data 433 MHz modules and custom decoders fro rtl_433 on the RPi. For things that do have WiFi, such as any future ESP projects I do, they will just use WiFi to talk to the RPi. If anything needs to get sent outside of my LAN the RPi will handle it.
The RPi is also currently controlling a space heater in my living room, getting connection data from my cable modem periodically and recording that in an sqlite DB, and serving a simple web page that lets me quickly change inputs and volume on my Denon receiver and so I'm already pretty much committed to keeping it running all the time.
 Decoders can be specified in a simple text file. Here's the one for my rain guage as an example:
Monitoring system performance and stability with Deephaven and Prometheus
2 projects | reddit.com/r/u_DeephavenDataLabs | 23 Nov 2021
If you've ever used Prometheus, you know it's pretty great. It's free, open-source software that uses metric-based monitoring and allows users to set up real-time alerts. Prometheus generates tons of system data, and this data can be pulled from Prometheus through various methods.
Effective ways of measuring packet loss rate
2 projects | reddit.com/r/networking | 21 Nov 2021
If you run the node_exporter and Prometheus, it's a pretty simple matter of graphing the netstat values.
14 projects | reddit.com/r/golang | 16 Nov 2021
Choosing from what we have zerolog is probably my favourite. Prometheus is better then many. Stdlib is not perfect and sometimes outdated but still is the best guide to start with.
Mayday, mayday! I need a scalable infrastructure to migrate on Scaleway Elements! Part 2 - Ops & Container migration
7 projects | dev.to | 12 Nov 2021
Prometheus to collect metrics.
What are some alternatives?
Jolokia - JMX on Capsaicin
JavaMelody - JavaMelody : monitoring of JavaEE applications
Glowroot - Easy to use, very low overhead, Java APM
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
tidb - TiDB is an open source distributed HTAP database compatible with the MySQL protocol
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
Ganglia - Ganglia Web Frontend
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
Collectd - The system statistics collection daemon. Please send Pull Requests here!
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
skywalking - APM, Application Performance Monitoring System