hijinks
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: [email protected] (want to keep it anonymous because coworkers are on HN)
Currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: [email protected] (want to keep it anonymous because coworkers are on HN)
Currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: [email protected] (want to keep it anonymous because coworkers are on HN)
24 years in infrastructure, currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: [email protected] (want to keep it anonymous because coworkers are on HN)
24 years in infrastructure, currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
Technologies: Kubernetes, Terraform, AWS, Go, Python, Docker, Helm, Argo, Kong, Prometheus, VictoriaMetrics, Vector, Quickwit
Resume/CV: [available on request]
Email: [email protected] (want to keep it anonymous because coworkers are on HN)
24 years in infrastructure, currently Lead Platform Engineer at a security AI startup where I built the platform team from scratch (0 to 5 engineers) and architected multi-tenant Kubernetes infrastructure across 40+ clusters with per-tenant KMS encryption and Argo-based progressive delivery.
Before that, spent nearly 6 years as Staff SRE at Iterable where most of my work centered on making infrastructure cheaper and more reliable. Replaced ELK with Quickwit for 65TB/day log ingestion (saved $1.2M/year), migrated Lambda pipelines to Vector ($60k/mo down to $8k/mo), and stood up VictoriaMetrics to replace Datadog for 33M metrics ($30k/mo savings). I tend to find the project that saves the most money and then actually build it.
I write Go -- built Kubernetes operators for RabbitMQ, Redis, and Vector (open source: github.com/zcentric/vector-operator). Terraform is my IaC of choice and I've used it everywhere from a global Predix platform (Japan, EU regions) to scaling Kubernetes clusters from 10 to 300 nodes on spot instances for satellite image processing at Urthecast.
I've managed teams at three companies (up to 6 engineers) and served as product owner for SRE groups, but I'm open to both IC and management roles at the Staff/Principal/Director level.
Looking for: DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. $200K+ total comp. Remote only, US-based.
host * SetEnv TERM=xterm-256color
My guess is you will be billed per gig or something but not nearly the cost of shipping your logs to DD
Want pricing to go down then we need to build more dense housing even an hour drive from the city. The days of wanting a big backyard are coming to an end for most home owners.
In django i had it create a backend, set admin user, create requirements.txt and then do a whole frontend in vue as a test. It even can do screen testing and tested what happens if it puts a wrong login in.
I'm really starting to get sick of companies that claim they operate at petabyte at scale and find you need to spend 400k a month to support that scale.
I have around 380 TBs of logs currently in s3 and have sub 1s searches for needle in the haystack searches. It handles all that with just 5 search nodes running on kubernetes with 6gig of RAM each.
I'm ingesting around 20TBs of logs a day on it.
If you want to pay for a saas then pganalyze is like $400 a month for 4 dbs is a pretty good pricing model
You can 100% tell when someone is reading off a screen and not looking at you during an interview via webcam
https://github.com/input-leap/input-leap
Keep an eye on that for anything new
It was nothing but "only rich people are buying these right now so lets cash in" pricing
If I was building a new home today and in an area that might get down to 10-15F as a low i'd 100% do heat pumps. The nice part about heat pumps for me is that they might get to temp and run at 10% all day long and keep the heat right at 71. Where a gas will turn on at 69 and heat till 73 and continue that cold/hot cycle
being cheaper also depends on current utility rates also
heatpumps are really cheap to run
I have a feeling he thinks in his head that going up and just saying he was sorry and mistakes were made are going to make everything ok.
From youtube videos I watch about people that are in the court room reporting on the trail, the prosecutors are very good