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wardb

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pypi.org 2y ago

Show HN: DeepThought AI – Give your Python 'if' statements an AI boost

wardb
1pts0
grafana.com 3y ago

Grafana and Cilium: eBPF-powered observability for K8s and cloud native infra

wardb
2pts0
www.tomshardware.com 5y ago

Chinese Developers Claim Fastest Quantum Computer

wardb
3pts0
venturebeat.com 5y ago

Grafana Labs acquires load-testing startup K6

wardb
28pts0
grafana.com 5y ago

Why we’re partnering with Elastic to build the Elasticsearch plugin for Grafana

wardb
2pts0
wangda-tan.medium.com 5y ago

Is It Realistic to Run Any Big Data (Like Database, ETL) Workload on GPU Now?

wardb
2pts0
pracucci.com 5y ago

Being a Grafanista: A Look from Inside

wardb
2pts0
grafana.com 6y ago

An introduction to Loki, the Prometheus-inspired open source logging system

wardb
2pts0
grafana.com 6y ago

Loki v1.4.0 released, with query statistics and up to 300x regex optimization

wardb
2pts0
grafana.com 6y ago

How to Work from Home with Kids

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2pts0
grafana.com 6y ago

How to work from home effectively: Tips from the remote-first Grafana Labs team

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1pts0
grafana.com 6y ago

How (and Why) I Make Grafana and Loki Tutorials for YouTube

wardb
1pts0
www.zdnet.com 6y ago

Is open source the way to go for observability?

wardb
1pts0
www.youtube.com 6y ago

Getting Started with Grafana Loki on Google Kubernetes Engine – Under 5 Minutes

wardb
3pts0
www.youtube.com 6y ago

Getting started with Grafana Loki – under 4 minutes

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2pts0
github.com 6y ago

Elixir Logger Back End for Grafana Loki

wardb
2pts0
fortune.com 9y ago

Kinetica (GPU accelerated database) Received $50M in Funding

wardb
1pts0
techcrunch.com 9y ago

Stand up against the stand-up

wardb
3pts0
twitter.com 11y ago

Elon Musk Teases Mysterious Tesla Box

wardb
9pts3
appfelstrudel.com 11y ago

Complete List of US App Store Apps That Support the Apple Watch

wardb
2pts0
blog.equanimity.nl 11y ago

Erlang ‘One Weird Trick’ Goodiebag

wardb
2pts0
search.wardbekker.com 11y ago

Erlang Search demo of the WAND-max_score evaluation stategy for Top-K Queries

wardb
4pts3
blog.equanimity.nl 12y ago

Notes on Apple CloudKit Storage and Data Transfers

wardb
1pts0
blog.equanimity.nl 12y ago

5 Great Pomodoro Apps for Mac

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1pts0
blog.equanimity.nl 12y ago

Your First Erlang Program (in Style)

wardb
7pts0
inessential.com 12y ago

An apology to Facebook Paper developers

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1pts0
blog.equanimity.nl 12y ago

How I Think Apple Will Implement Mobile Payments

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1pts0
news.ycombinator.com 12y ago

Ask HN: Do star programmers ever hire 'ghostcoders'?

wardb
7pts3
www.zenprogrammer.org 12y ago

The Zen Programmer

wardb
1pts0
blog.equanimity.nl 13y ago

Continuous Integration for Erlang with Travis-CI

wardb
3pts0

I always recommend Airalo to collegues. I travel a reasonable amount and Airalo has been reliable for me and available in a lot of countries. Last year they didn't have Singapore (I think this was re-added?) and it was annoying and expensive to buy an eSim at the airport. Reminded me how great their service is.

Grafana Labs employee here => On the linked articles: I'm not aware of any caching being used in the writing data to S3 part of the pipeline other then some time based/volume based buffering at the ingester microservices before writing the chunks of data to object storage.

The linked Loki caching docs/articles are for optimising the read access patterns of S3/object storage, not for writes.

That's incorrect, Loki is designed for querying high cardinality data.

The difference is that in Loki the index is only used for metadata around the source of the log lines (environment, team, cluster, host, pod etc) for selecting the right log stream to search in.

Parsing, aggregation and/or filtering of log lines on high cardinality data is all done at query time using LogQL. See also https://www.youtube.com/watch?v=UiiZ463lcVA and this live example where a 95th quantile is calculated using the request_time field of nginx logs https://play.grafana.org/d/T512JVH7z/loki-nginx-service-mesh...

SAP Concur is a complete nightmare for managing expenses. It's so bad that it will ruin your entire weekend, leaving you feeling frustrated and drained. The interface is a convoluted mess that is practically impossible to navigate, and entering expenses takes forever.

The expense categorization system is an abomination that will drive you insane with its constant mistakes and errors. The approval process is a black hole that sucks up your expenses and never spits them back out. I feel SAP Concur is the worst software ever created for expense management, and using it makes me wish I never had to do expenses again.

Expensify is so much better. The OCR isn't great though

This description is too funny :) It does have a high amount of old man screaming at the cloud. You can have a lot of valid critical views of cryptocurrency (environmental impact / gambling aspect ), but this his view is very unhelpful

Does CPB actually has anything to say here? I was expecting "De Nederlandse Bank" to be the organisation to set the rules here.

Good products, but don't discount their go-to-market strategy.

IIRC MS/Azure is an early Databricks investor and their sales folks were heavily incentivised to sell it. They also pushed Snowflake in the early days until they had a competing product and their relationship status was upgraded to 'it's complicated'.

Worked at Hortonworks and post merger Cloudera. Was interesting to see how market demand changed over the years and how the company worked on re-inventing themselves. Databricks and Snowflake seemed to understand SaaS earlier and better though. Still have some great friends working at Cloudera, and hope this will indeed accelerate a great next phase.

Joe's original rant can be found here: http://harmful.cat-v.org/software/OO_programming/why_oo_suck...

I can see that Erlang and Joe's (RIP) insights about OO might conflict with your view of the world, but IMHO that's just because of the OO indoctrination people grew up with.

Recommend learning key concepts of OTP/Erlang/Elixir first, and then revisit your initial opinions.

You might even conclude Joe Was Right

As a remote worker who is on video conferencing calls most of the day, I have a lot of experience (aka strong feelings) with the tools mentioned in the article;

- Zoom is indeed great. Reliable and clean UI. Local recording to MP4 makes for easy sharing.

- Webex is a bit less intuitive, but still reliable. Proprietary video recording protocol makes it video's hard to share.

- Skype Business should die in a fire. Unreliable and terrible UI. The Mac version of it is pretty much broken. A lot of folks can't find out how to screen share.

- BlueJean. Trying too hard to be fancy with their UI. They are also very proud with their Dolby Voice, but I find it harder to properly understand people (My hearing is not that great).

- Google Hangouts / Meet doesn't work in Safari for no good reason IMHO. High CPU usage and could use some more features, like a personal room and default meetings settings (no vid/mute by default on join, default audio devices etc)

Reading you comment reminds me of the costs vs. investment discussion. If the app will not make you any money it's probably an slightly expensive hobby. From a business perspective it makes a lot of sense to spend 100k USD if expect to earn it back tenfold. It's not about efficiency, but about effectiveness. It's about understanding the user goals and solve them in the best way possible. Not in the cheapest way possible.