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.
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.
is there a better way then bloom filters to handle needle in the haystack type searches where the haystack might be terabytes of data and you only want a few lines?
if op was working at Meta for 10 years and they started at 2013 they probably have more then enough money stashed away to not worry about bills for a few years.
they are planning to allow you to run your logs in your own datacenter/cloud and put something like a proxy there or being built into quickwit that your logs show up in the datadog UI
My guess is you will be billed per gig or something but not nearly the cost of shipping your logs to DD
too many people and not enough land in areas where people don't have to drive 3 hours to work.
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.
you can use the vscode cline to give a task and it uses a LLM to go out and create the app for you.
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.
solar costs keep shrinking and then you have power companies like SDGE that want to punish solar owners based on their salary and set a $125 min cost to be connected to the grid
as a parent it would be fun to have my kid sit in the middle seat between two random people and let them deal with him on the flight while I relax far away
Take a look at quickwit. Its basically a clone of elasticsearch but in rust.
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.
its a lot of warm moisture that comes up the coast from the southeast and slams into cold air from canada and can drop a lot of snow/wind. It can cause bad storms in the ocean and high seas.
noticed you mentioned speed.. That's probably why you are going through tires so fast.. ya EVs go through tires a lot faster but if you drive fast and more so accelerate fast then you will really go through tires
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.