Voyager

cross-posted from: https://psychedelia.ink/post/521936

DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.

DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.

cross-posted from: https://psychedelia.ink/post/513125

Quoting the origin HN post:

Hi HN, Mike and Warren here! We've been building HyperDX (hyperdx.io). HyperDX allows you to easily search and correlate logs, traces, metrics (alpha), and session replays all in one place. For example, if a user reports a bug “this button doesn't work," an engineer can play back what the user was doing in their browser and trace API calls back to the backend logs for that specific request, all from a single view. Github Repo: https://github.com/hyperdxio/hyperdx

Coming from an observability nerd background, with Warren being SRE #1 at his last startup and me previously leading dev experience at LogDNA/Mezmo, we knew there were gaps in the existing tools we were used to using. Our previous stack of tools like Bugsnag, LogRocket, and Cloudwatch required us to switch between different tools, correlate timestamps (UTC? local?), and manually cross-check IDs to piece together what was actually happening. This often made meant small issues required hours of frustration to root cause.

Other tools like Datadog or New Relic come with high price tags - when estimating costs for Datadog in the past, we found that our Datadog bill would exceed our AWS bill! Other teams have had to adjust their infrastructure just to appease the Datadog pricing model.

To build HyperDX, we've centralized all the telemetry in one place by leveraging OpenTelemetry (a CNCF project for standardizing/collecting telemetry) to pull and correlate logs, metrics, traces, and replays. In-app, we can correlate your logs/traces together in one panel by joining everything automatically via trace ids and session ids, so you can go from log <> trace <> replay in the same panel. To keep costs low, we store everything in Clickhouse (w/ S3 backing) to make it extremely affordable to store large amounts of data (compared to Elasticsearch) while still being able to query it efficiently (compared to services like Cloudwatch or Loki), in large part thanks to Clickhouse's bloom filters + columnar layout.

On top of that, we've focused on providing a smooth developer experience (the DX in HyperDX!). This includes features like native parsing of JSON logs, full-text search on any log or trace, 2-click alert creation, and SDKs that help you get started with OpenTelemetry faster than the default OpenTelemetry SDKs.

I'm excited to share what we've been working with you all and would love to hear your feedback and opinions!

Hosted Demo - https://api.hyperdx.io/login/demo

Open Source Repo: https://github.com/hyperdxio/hyperdx

Landing Page: https://hyperdx.io

JPEG 's conspicuous issues like lack of transparency, animation, lossless compression and high bit depth support makes it little tough to justify it as leading format for time to come. Various attempts like WebP and AVIF are made (and are supported on modern browsers) to overcome problems of JPEG but they all also suffer some shortcomings of their own. Rather than discussing it, let's see how is the web finally going to change with this new format - JPEG-XL.

JPEG-XL is what we believe is next 20 year format. Why?

It's not one but multiple reasons.

60-70% smaller size compared to similar quality JPEG 😮 Dimension of upto billion pixels allowed (JPEG-XL exclusive) 4099 channels support (JPEG-XL exclusive) Animation support Tile support for large images Progressive decoding (see low resolution image first before full image loads - JPEG-XL and JPEG exclusive) Lossless encoding support Wide-color gamut support Extremely fast for both encoding and decoding (WebP and AVIF are much slower) Royalty free 🤘 This basically means anything that a photographer, developer or animation creator can think of, it's supported by this format. Everyone stays happy and gets to use one format for everything.

Quoting the origin HN post:

Hi HN, Mike and Warren here! We've been building HyperDX (hyperdx.io). HyperDX allows you to easily search and correlate logs, traces, metrics (alpha), and session replays all in one place. For example, if a user reports a bug “this button doesn't work," an engineer can play back what the user was doing in their browser and trace API calls back to the backend logs for that specific request, all from a single view. Github Repo: https://github.com/hyperdxio/hyperdx

Coming from an observability nerd background, with Warren being SRE #1 at his last startup and me previously leading dev experience at LogDNA/Mezmo, we knew there were gaps in the existing tools we were used to using. Our previous stack of tools like Bugsnag, LogRocket, and Cloudwatch required us to switch between different tools, correlate timestamps (UTC? local?), and manually cross-check IDs to piece together what was actually happening. This often made meant small issues required hours of frustration to root cause.

Other tools like Datadog or New Relic come with high price tags - when estimating costs for Datadog in the past, we found that our Datadog bill would exceed our AWS bill! Other teams have had to adjust their infrastructure just to appease the Datadog pricing model.

To build HyperDX, we've centralized all the telemetry in one place by leveraging OpenTelemetry (a CNCF project for standardizing/collecting telemetry) to pull and correlate logs, metrics, traces, and replays. In-app, we can correlate your logs/traces together in one panel by joining everything automatically via trace ids and session ids, so you can go from log <> trace <> replay in the same panel. To keep costs low, we store everything in Clickhouse (w/ S3 backing) to make it extremely affordable to store large amounts of data (compared to Elasticsearch) while still being able to query it efficiently (compared to services like Cloudwatch or Loki), in large part thanks to Clickhouse's bloom filters + columnar layout.

On top of that, we've focused on providing a smooth developer experience (the DX in HyperDX!). This includes features like native parsing of JSON logs, full-text search on any log or trace, 2-click alert creation, and SDKs that help you get started with OpenTelemetry faster than the default OpenTelemetry SDKs.

I'm excited to share what we've been working with you all and would love to hear your feedback and opinions!

Hosted Demo - https://api.hyperdx.io/login/demo

Open Source Repo: https://github.com/hyperdxio/hyperdx

Landing Page: https://hyperdx.io

“It lets R2D2 talk to C3P0," Keven Gambold, Droidish’s mastermind and the CEO of government contractor Unmanned Experts, explained to Forbes, recalling the iconic robot duo from Star Wars.

When researchers or government contractors crack the code, these advanced drone systems will launch together, work out amongst themselves how best to achieve their goals and land in tandem — with human pilots intervening only should something go awry. Spurred on by Ukraine’s extensive use of drones to defend against Russian invasion, and by fears of China’s advancing technological prowess, America’s best-funded agency is spending big across research labs, academia and AI tech companies to ensure the U.S. is at the bleeding edge of next-generation drone warfare.