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Today, we are introducing Lexxy, a new rich text editor for Action Text. It’s based on Lexical — Meta’s text editing framework — and it brings a much better text editing experience to Rails: Good HTML semantics. Paragraphs are real <p> tags, as they should be. Markdown support: shortcuts, auto-formatting on paste. Real-time code syntax highlighting. Create links by pasting URLs on selected text. Configurable prompts. Support for mentions and other interactive prompts with multiple loading and filtering strategies. Preview attachments like PDFs and Videos in the editor. Works seamlessly with Action Text and Active Storage. We created Lexxy because Trix was falling short of expectations in certain areas, and we encountered technical barriers when attempting to offer the experience we wanted. Lexxy comes with a bunch of juicy improvements, but more than that, we now have a fantastic foundation to build on top of. Lexxy will also bring a great improvement to Action Text: we will let you configure the editor in Action Text just like you configure the database in Active Record. This will open the door to integrating other editors in Rails. Text editing is central to our products. We believe Lexxy will let us deliver the editing experience we want. We are launching an early beta today, give it a try!
Note: Shortly after releasing this gem, we renamed it from Action Native Push to Action Push Native, in case you arrived here looking for the gem of the former name. More details here. We’ve open-sourced Action Push Native, a Rails gem for sending push notifications to mobile platforms. It supports both Apple and Google push notification services. Why did we build it? We created it to migrate off Amazon SNS and Pinpoint, as part of our broader cloud exit. We’re using it in Basecamp and HEY to send more than 10 million push notifications per day without a hitch. Action Push Native relies on HTTP/2 persistent connections to the Apple Push Notification service, which significantly reduced job duration compared to our previous HTTP/1 setup with AWS Pinpoint: AWS Pinpoint jobs duration Action Push Native jobs duration How does it work? The gem connects directly to the Apple (APNs) and Google (FCM) push notification services. It handles retries, rate-limiting, and deleting dead devices automatically. Configure each platform with your credentials, and you can start sending notifications like this: device = ApplicationPushDevice.create! \ name: "iPhone 16", token: "6c267f26b173cd9595ae2f6702b1ab560371a60e7c8a9e27419bd0fa4a42e58f", platform: "apple" notification = ApplicationPushNotification.new \ title: "Hello world!", body: "Welcome to Action Push Native" notification.deliver_later_to(device) Version 0.1.0 is available now. You can read more on GitHub. We hope you find it useful!
We’ve just launched Hotwire Native v1.2 and it’s the biggest update since the initial launch last year. The update has several key improvements, bug fixes, and more API consistency between platforms. And we’ve created all new iOS and Android demo apps to show it off! A web-first framework for building native mobile apps Improvements There are a few significant changes in v1.2 that are worth specifically highlighting. Route decision handlers Hotwire Native apps route internal urls to screens in your app, and route external urls to the device’s browser. Historically, though, it wasn’t straightforward to customize the default behavior for unique app needs. In v1.2, we’ve introduced the RouteDecisionHandler concept to iOS (formerly only on Android). Route decisions handlers offer a flexible way to decide how to route urls in your app. Out-of-the-box, Hotwire Native registers these route decision handlers to control how urls are routed: AppNavigationRouteDecisionHandler: Routes all internal urls on your app’s domain through your app. SafariViewControllerRouteDecisionHandler: (iOS Only) Routes all external http/https urls to a SFSafariViewController in your app. BrowserTabRouteDecisionHandler: (Android Only) Routes all external http/https urls to a Custom Tab in your app. SystemNavigationRouteDecisionHandler: Routes all remaining external urls (such as sms: or mailto:) through device’s system navigation. If you’d like to customize this behavior you can register your own RouteDecisionHandler implementations in your app. See the documentation for details. Server-driven historical location urls If you’re using Ruby on Rails, the turbo-rails gem provides the following historical location routes. You can use these to manipulate the navigation stack in Hotwire Native apps. recede_or_redirect_to(url, **options) — Pops the visible screen off of the navigation stack. refresh_or_redirect_to(url, **options) — Refreshes the visible screen on the navigation stack. resume_or_redirect_to(url, **options) — Resumes the visible screen on the navigation stack with no further action. In v1.2 there is now built-in support to handle these “command” urls with no additional path configuration setup necessary. We’ve also made improvements so they handle dismissing modal screens automatically. See the documentation for details. Bottom tabs When starting with Hotwire Native, one of the most common questions developers ask is how to support native bottom tab navigation in their apps. We finally have an official answer! We’ve introduced a HotwireTabBarController for iOS and a HotwireBottomNavigationController for Android. And we’ve updated the demo apps for both platforms to show you exactly how to set them up. New demo apps To better show off all the features in Hotwire Native, we’ve created new demo apps for iOS and Android. And there’s a brand new Rails web app for the native apps to leverage. Hotwire Native demo app Clone the GitHub repos to build and run the demo apps to try them out: iOS repo Android repo Rails app Huge thanks to Joe Masilotti for all the demo app improvements. If you’re looking for more resources, Joe even wrote a Hotwire Native for Rails Developers book! Release notes v1.2 contains dozens of other improvements and bug fixes across both platforms. See the full release notes to learn about all the additional changes: iOS release notes Android release notes Take a look If you’ve been curious about using Hotwire Native for your mobile apps, now is a great time to take a look. We have documentation and guides available on native.hotwired.dev and we’ve created really great demo apps for iOS and Android to help you get started.
As the final part of our move out of the cloud, we are working on moving 10 petabytes of data out of AWS Simple Storage Service (S3). After exploring different alternatives, we decided to go with Pure Storage FlashBlade solution. We store different kinds of information on S3, from the attachments customers upload to Basecamp to the Prometheus long-term metrics. On top of that, Pure’s system also provides filesystem-based capabilities, enabling other relevant usages, such as database backup storage. This makes the system a top priority for observability. Although the system has great reliability, out-of-the-box internal alerting, and autonomous ticket creation, it would also be good to have our metrics and alerts to facilitate problem-solving and ensure any disruptions are prioritized and handled. For more context on our current Prometheus setup, see how we use Prometheus at 37signals. Pure OpenMetrics exporter Pure maintains two OpenMetrics exporters, pure-fb-openmetrics-exporter and pure-fa-openmetrics-exporter. Since we use Pure Flashblade (fb), this post covers pure-fb-openmetrics-exporter, although overall usage should be similar. The setup is straightforward and requires only binary and basic authentication installation. Here is a snippet of our Chef recipe that installs it: pure_api_token = "token" # If you use Chef, your token should come from an ecrypted databag. Changed to hardcoded here to simplify PURE_EXPORTER_VERSION = "1.0.13".freeze # Generally, we use Chef node metadata for version management. Changed to hardcoded to simplify directory "/opt/pure_exporter/#{PURE_EXPORTER_VERSION}" do recursive true owner 'pure_exporter' group 'pure_exporter' end # Avoid recreating under /tmp after reboot if target_binary is already there target_binary = "/opt/pure_exporter/#{PURE_EXPORTER_VERSION}/pure-fb-openmetrics-exporter" remote_file "/tmp/pure-fb-openmetrics-exporter-v#{PURE_EXPORTER_VERSION}-linux-amd64.tar.gz" do source "https://github.com/PureStorage-OpenConnect/pure-fb-openmetrics-exporter/releases/download/v#{PURE_EXPORTER_VERSION}/pure-fb-openmetrics-exporter-v#{PURE_EXPORTER_VERSION}-linux-amd64.tar.gz" not_if { ::File.exist?(target_binary) } end archive_file "/tmp/pure-fb-openmetrics-exporter-v#{PURE_EXPORTER_VERSION}-linux-amd64.tar.gz" do destination "/tmp/pure-fb-openmetrics-exporter-v#{PURE_EXPORTER_VERSION}" action :extract not_if { ::File.exist?(target_binary) } end execute "copy binary" do command "sudo cp /tmp/pure-fb-openmetrics-exporter-v#{PURE_EXPORTER_VERSION}/pure-fb-openmetrics-exporter /opt/pure_exporter/#{PURE_EXPORTER_VERSION}/pure-exporter" creates "/opt/pure_exporter/#{PURE_EXPORTER_VERSION}/pure-exporter" not_if { ::File.exist?(target_binary) } end tokens = <<EOF main: address: purestorage-mgmt.mydomain.com api_token: #{pure_api_token['token']} EOF file "/opt/pure_exporter/tokens.yml" do content tokens owner 'pure_exporter' group 'pure_exporter' sensitive true end systemd_unit 'pure-exporter.service' do content <<-EOU # Caution: Chef managed content. This is a file resource from #{cookbook_name}::#{recipe_name} # [Unit] Description=Pure Exporter After=network.target [Service] Restart=on-failure PIDFile=/var/run/pure-exporter.pid User=pure_exporter Group=pure_exporter ExecStart=/opt/pure_exporter/#{PURE_EXPORTER_VERSION}/pure-exporter \ --tokens=/opt/pure_exporter/tokens.yml ExecReload=/bin/kill -HUP $MAINPID SyslogIdentifier=pure-exporter [Install] WantedBy=multi-user.target EOU action [ :create, :enable, :start ] notifies :reload, "service[pure-exporter]" end service 'pure-exporter' Prometheus Job Configuration The simplest way of ingesting the metrics is to configure a basic Job without any customization: - job_name: pure_exporter metrics_path: /metrics static_configs: - targets: ['<%= @hostname %>:9491'] labels: environment: 'production' job: pure_exporter params: endpoint: [main] # From the tokens configuration above For a production-ready setup, we are using a slightly different approach. The exporter supports the usage of specific metric paths to allow for split Prometheus jobs configuration that reduces the overhead of pulling the metrics all at once: - job_name: pure_exporter_array metrics_path: /metrics/array static_configs: - targets: ['<%= @hostname %>:9491'] labels: environment: 'production' job: pure_exporter metric_relabel_configs: - source_labels: [name] target_label: ch regex: "([^.]+).*" replacement: "$1" action: replace - source_labels: [name] target_label: fb regex: "[^.]+\\.([^.]+).*" replacement: "$1" action: replace - source_labels: [name] target_label: bay regex: "[^.]+\\.[^.]+\\.([^.]+)" replacement: "$1" action: replace params: endpoint: [main] # From the tokens configuration above - job_name: pure_exporter_clients metrics_path: /metrics/clients static_configs: - targets: ['<%= @hostname %>:9491'] labels: environment: 'production' job: pure_exporter params: endpoint: [main] # From the tokens configuration above - job_name: pure_exporter_usage metrics_path: /metrics/usage static_configs: - targets: ['<%= @hostname %>:9491'] labels: environment: 'production' job: pure_exporter params: endpoint: [main] - job_name: pure_exporter_policies metrics_path: /metrics/policies static_configs: - targets: ['<%= @hostname %>:9491'] labels: environment: 'production' job: pure_exporter params: endpoint: [main] # From the tokens configuration above We also configure some metric_relabel_configs to extract labels from name using regex. Those labels help reduce the complexity of queries that aggregate metrics by different components. Detailed documentation on the available metrics can be found here. Alerts Auto Generated Alerts As I shared earlier, the system has an internal Alerting module that automatically triggers alerts for critical situations and creates tickets. To cover those alerts on the Prometheus side, we added an alerting configuration of our own that relies on the incoming severities: - alert: PureAlert annotations: summary: '{{ $labels.summary }}' description: '{{ $labels.component_type }} - {{ $labels.component_name }} - {{ $labels.action }} - {{ $labels.kburl }}' dashboard: 'https://grafana/your-dashboard' expr: purefb_alerts_open{environment="production"} == 1 for: 1m We still need to evaluate how the pure-generated alerts will interact with the custom alerts I will cover below, and we might decide to stick to one or the other depending on what we find out. Hardware Before I continue, the image below helps visualize how some of the Pure FlashBlade components are physically organized: Because of Pure’s reliability, most isolated hardware failures do not require the immediate attention of an Ops team member. To cover the most basic hardware failures, we configure an alert that sends a message to the Ops Basecamp 4 project chat: - alert: PureHardwareFailed annotations: summary: Hardware {{ $labels.name }} in chassis {{ $labels.ch }} is failed description: 'The Pure Storage hardware {{ $labels.name }} in chassis {{ $labels.ch }} is failed' dashboard: 'https://grafana/your-dashboard' expr: purefb_hardware_health == 0 for: 1m labels: severity: chat-notification We also configure alerts that check for multiple hardware failures of the same type. This doesn’t mean two simultaneous failures will result in a critical state, but it is a fair guardrail for unexpected scenarios. We also expect those situations to be rare, keeping the risk of causing unnecessary noise low. - alert: PureMultipleHardwareFailed annotations: summary: Pure chassis {{ $labels.ch }} has {{ $value }} failed {{ $labels.type }} description: 'The Pure Storage chassis {{ $labels.ch }} has {{ $value }} failed {{ $labels.type }}, close to the healthy limit of two simultaneous failures. Ensure that the hardware failures are being worked on' dashboard: 'https://grafana/your-dashboard' expr: count(purefb_hardware_health{type!~"eth|mgmt_port|bay"} == 0) by (ch,type,environment) > 1 for: 1m labels: severity: page # We are looking for multiple failed bays in the same blade - alert: PureMultipleBaysFailed annotations: summary: Pure chassis {{ $labels.ch }} has fb {{ $labels.fb }} with {{ $value }} failed bays description: 'The Pure Storage chassis {{ $labels.ch }} has fb {{ $labels.fb }} with {{ $value }} failed bays, close to the healthy limit of two simultaneous failures. Ensure that the hardware failures are being worked on' dashboard: 'https://grafana/your-dashboard' expr: count(purefb_hardware_health{type="bay"} == 0) by (ch,type,fb,environment) > 1 for: 1m labels: severity: page Finally, we configure high-level alerts for chassis and XFM failures: - alert: PureChassisFailed annotations: summary: Chassis {{ $labels.name }} is failed description: 'The Pure Storage hardware chassis {{ $labels.name }} is failed' dashboard: 'https://grafana/your-dashboard' expr: purefb_hardware_health{type="ch"} == 0 for: 1m labels: severity: page - alert: PureXFMFailed annotations: summary: Xternal Fabric Module {{ $labels.name }} is failed description: 'The Pure Storage hardware Xternal fabric module {{ $labels.name }} is failed' dashboard: 'https://grafana/your-dashboard' expr: purefb_hardware_health{type="xfm"} == 0 for: 1m labels: severity: page Latency Using the metric purefb_array_performance_latency_usec we can set a threshold for all the different protocols and dimensions (read, write, etc), so we are alerted if any problem causes the latency to go above an expected level. - alert: PureLatencyHigh annotations: summary: Pure {{ $labels.dimension }} - {{ $labels.protocol }} latency high description: 'Pure {{ $labels.protocol }} latency for dimension {{ $labels.dimension }} is above 100ms' dashboard: 'https://grafana/your-dashboard' expr: (avg_over_time(purefb_array_performance_latency_usec{protocol="all"}[30m]) * 0.001) for: 1m labels: severity: chat-notification Saturation For saturation, we are primarily worried about something unexpected causing excessive use of array space, increasing the risk of hitting the cluster capacity. With that in mind, it’s good to have a simple alert in place, even if we don’t expect it to fire anytime soon: - alert: PureArraySpace annotations: summary: Pure Cluster {{ $labels.instance }} available space is expected to be below 10% description: 'The array space for pure cluster {{ $labels.instance }} is expected to be below 10% in a month, please investigate and ensure there is no risk of running out of capacity' dashboard: 'https://grafana/your-dashboard' expr: (predict_linear(purefb_array_space_bytes{space="empty",type="array"}[30d], 730 * 3600)) < (purefb_array_space_bytes{space="capacity",type="array"} * 0.10) for: 1m labels: severity: chat-notification HTTP We use BigIp load balancers to front-end the cluster, which means that all the alerts we already had in place for the BigIp HTTP profiles, virtual servers, and pools also cover access to Pure. The solution for each organization on this topic will be different, but it is a good practice to keep an eye on HTTP status codes and throughput. Grafana Dashboards The project’s GitHub repository includes JSON files for Grafana dashboards that are based on the metrics generated by the exporter. With simple adjustments to fit each setup, it’s possible to import them quickly. Wrapping up On top of the system’s built-in capabilities, Pure also provides options to integrate their system into well-known tools like Prometheus and Grafana, facilitating the process of managing the cluster the same way we manage everything else. I hope this post helps any other team interested in working with them better understand the effort involved. Thanks for reading!
We’ve just released Mission Control — Jobs v1.0.0, the dashboard and set of extensions to operate background jobs that we introduced earlier this year. This new version is the result of 92 pull requests, 67 issues and the help of 35 different contributors. It includes many bugfixes and improvements, such as: Support for Solid Queue’s recurring tasks, including running them on-demand. Support for API-only apps. Allowing immediate dispatching of scheduled and blocked jobs. Backtrace cleaning for failed jobs’ backtraces. A safer default for authentication, with Basic HTTP authentication enabled and initially closed unless configured or explicitly disabled. Recurring tasks in Mission Control — Jobs, with a subset of the tasks we run in production We use Mission Control — Jobs daily to manage jobs HEY and Basecamp 4, with both Solid Queue and Resque, and it’s the dashboard we recommend if you’re using Solid Queue for your jobs. Our plan is to upstream some of the extensions we’ve made to Active Job and continue improving it until it’s ready to be included by default in Rails together with Solid Queue. If you want to help us with that, are interested in learning more or have any issues or questions, head over to the repo in GitHub. We hope you like it!
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After a write-up in the New York Times, Mommy Bloggers had two options. Either lean in, or step back. Given how popular it became after that, it's not hard to guess which option they chose. The post Mommy bloggers react appeared first on The History of the Web.
I'm quite a bit late on this one, but Haunt version 0.4.0 was released released back in July. I haven't had much time for blogging, but I'm catching up now! This release contains a small set of improvements and bug fixes since the 0.3.0 release in 2024. About Haunt Haunt is a static site generator that uses the Guile Scheme as its configuration language. It aims to be simple, functional, and extensible. Features include: Easy blog and Atom/RSS feed generation Markdown post support Simple development server for viewing edits before publishing Purely functional build process User extensibility Notable changes Added support for HTML in Markdown documents. This was a long time coming because guile-markdown did not support it and the library was abandoned by the original maintainer. As part of my work at Spritely, we forked it, implemented the relevant portions of the CommonMark specification, and released it. Spritely's guile-commonmark fork is now considered to be the official upstream by Guix and others. A further consequence of this is that guile-lib is now a required dependency for building Haunt as we need the (htmlprag) module to parse Markdown documents with embedded HTML. html->shtml from guile-lib's (htmlprag) module is now used instead of xml->sxml in the HTML reader. It was silly of me to use xml->sxml for this purpose years ago, but at the time I wanted guile-lib to be an optional dependency. Added haunt new subcommand for creating a new site. Added default directory, template, and prefix arguments to flat-pages procedure. Added support for index metadata flag to flat pages for pretty URLs. Flat pages now receive all page metadata, not just the page title. This is a breaking change from 0.3.0. Added .scm as an additional extension for sxml-reader. make-file-extension-matcher now supports multiple extensions. Fixed emission of <script> and <style> elements. Fixed handling of no available reader in flat pages builder. Fixed unreachable error handling clause when a reader is not found for a post. Fixed default blog theme template missing an <html> tag. Fixed overloaded -h option in haunt serve. Deprecated post in Skribe reader in favor of document. Download Haunt 0.4.0 is already available in Guix: guix pull guix install haunt See the Haunt project page for information on how to build from source. Thank you to Camilo Rodrigues, Noé Lopez, jgart, Jakob L. Kreuze, and Daniel Meißner for their contributions to this release! Happy haunting!
This is a transcript from a talk I gave at the German Perl Workshop earlier this year. If you'd prefer to watch the video recording, you can find it here. I have lots of photographic projects on the go. Lots of these being on film, as some of these I started shooting a long time ago. I don’t have any particular loyalty or attraction to film, it’s just that I started shooting many of these projects before affordable medium format digital was available. Since I mostly shoot medium/large format film I never really jumped to digital until recently, so film has continued to feature heavily in my workflow. That said, it’s a pain in the arse to shoot film now given the spiraling costs, limited availability, and issues around traveling with it: modern airport CT scanners, being rolled out across many airports, are much more convenient but will fog film. Asking for a hand inspection often comes down to arbitrary timing - how busy the security is, how experienced the operator is, or if you’re lucky/unlucky. I’ve had film forced to be scanned (and fogged) and politely argued with security on more than one occasion. I don’t want to deal with that so don’t travel with film anymore, thus I am shooting less of it and have mostly moved to digital. I still have a tonne of film I need to scan and process however. Here’s just some of the binders and files of film. I don’t plan to scan all of this, but I do plan to scan the ones I need to. Probably in the region of a couple of thousand frames. I want to scan to the highest possible quality (within reason) for archiving, book projects, and large prints. If you’re wondering how large I print, it can be up to 160x60cm panoramics for selling. This is restricted by the size of my printer (that’s another story). Three Years Ago Three years ago I almost bought a scanner. I ended up blogging about it and the post got a bit of traction on Hacker News (HN). I’m never quite sure which posts I submit will pique the interest of the users. I’ll spend months chipping away at a draft and when I post it it tanks. Or I’ll cobble something together in twenty minutes, like the linked one above, and it gets 440 points and over 300 comments… The thread had some useful suggestions and some not so useful ones, the not so useful ones being effectively “buy an Epson”: I’ve had one for fifteen years and it’s not good enough for large prints or archiving. It’s passable for web stuff and smaller prints, but for my recent use cases? Not even close. Ten years ago I had negatives scanned with a high resolution scanner for the first time and recently, wanting to scan my archives for various projects, I decided I should invest in one of those scanners. The Original Plan The plan, back in 2023, was simple: Buy scanner (at significantly reduced rate) Scan all my film Sell scanner Profit! And I mean profit - the scanner that I almost bought was being offered to me at about 2/3rd of the price they usually sell. And they’re becoming harder to find in working order so the prices are going up. Or profit in not having to pay > 25.- CHF per frame to have someone else do this. You can see the pricing from The Film Lab. You can read the original blog post to find out more about the scanner in question, so I won’t repeat it here. Other than the parts being relevant to the rest of this post, namely that the scanner was showing hard and soft problems. The software that drives the scanner was last updated in 2012, it’s proprietary and closed source, requiring 32bit architecture and no third party drivers or software exist. So you are stuck using old software/computers to run it. Or maybe you could use emulation / virtualisation? The problem there is that the interface is firewire, or SCSI on the even older models, and firewire is known to be problematic on these scanners as the controllers start to go bad after a decade of continued use. That’s a risk, and the scanner was very much EOL as the firewire controller was dying: both ports were bad that suggests controller, not ports. The scanner would have been €5,000 to purchase and then €3,000 (ish) to repair. Or, as HN suggested - just open it up and use a soldering iron. I’m not going to drop 5k on something and then start poking it with a soldering iron. I’ll pass on that thanks. Camera Scanning In the meantime I’ve been camera scanning, which you can read about in another blog post. But how does that compare cost wise? It’s expensive because you’ll need a high resolution camera, a macro lens, copy stand, negative carrier/holder, and quality light source. You’ll look to spend anything from three to five thousand Euros on everything. Camera scanning does actually work well, in that it’s close to a high resolution dedicated scanner. But you have to setup the entire thing every time you want to use it, including ensuring everything is straight and parallel. It also suffers from the same weakness as most other scanning methods. What do you think that is? Film Flatness Or lack thereof: Film is rarely flat, especially so with 35mm. These are pretty mild examples of curl. It tends to be flatter in the larger formats but then you get into flatness issues due to it sagging. The smallest difference in the film plane can cause major issues in sharpness due to focus fall off (film scanning is essentially macro photography). Any workflow or solution that does not take this into account is significantly compromised. And the workflow is only as good as its weakest part. This is the biggest problem in scanning film - all other considerations are more than adequate these days: resolution, dynamic range, etc. However, most negative carriers don’t keep the film perfectly flat. This has always been a problem - this is from a book called “Edge of Darkness” which is about traditional analog photography and printing, and summarises the problems of negative carriers thusly: “if you use a glassless negative carrier, you might as well just buy the cheapest enlarging lens you can find. You are simply throwing away the money and sharpness you paid for it in your enlarging lens, and also in your fine camera and the expensive lenses you bought for it… No film will lie flat in a glassless carrier. That’s right, none… There is no avoiding this issue. Use glass.” So you have to use (anti-newton ring) glass, which introduces other issues - you’ve now got extra glass in the transmission path, and dust (which isn’t a massive problem, but a pain nonetheless). You could use drum scanning, which is absurdly impractical from a cost and operating point of view. Or you could use a Flextight, the scanner I almost bought three years ago. Interim Solution I stuck with camera scanning, but wasn’t happy though, because of film flatness and the setup faff. So of course I started looking for another scanner. I was idly browsing near the end of 2025 and came across this one. It’s exactly the same spec as the one I tried three years ago, except SCSI not Firewire so less prone to failure. It just predates Hasselblad buying Imacon (so is pre the rebranding, etc). It was in Switzerland so I could inspect and pick it up. It was also significantly cheaper than the previous one I had looked at, so worth a punt even if I needed to take a soldering iron to it. We went to St Gallen for a weekend and I picked it up. Here’s the software interface back in my studio. Look at that marvelous interface! None of that liquid glass bollocks. The first scans were promising, but I had the sense things needed some TLC. The first thing was calibrating the focus, which the software can do in combination with a focus slide. I was lucky that the focus slide was included with the scanner and I’m not sure what I would have done otherwise. Probably paid a fortune for a replacement? Possibly a lot of manual trial and error with the software? After doing that I scanned images of the 1951 USAF resolution test chart (taken on ultra high resolution 35mm film): That’s what the resulting scan looked like. Notice that it’s sharp from edge to edge, corner to corner. At 100% crop we can resolve around 110 to 123 line pairs per mm, which equates to about 5,600 to 6,300 DPI. This is beyond the limit of most 35mm lenses, but importantly - exactly to spec for this scanner. So I was happy the focus was calibrated. If you’re curious this is the same target with the camera scanning setup. It’s close, but we’ve got another variable in the workflow, several even, and that impacts the results. It’s not as sharp, and the extra glass in the transmission path causes aberrations. Another thing that needed attention was the power supply. The seller mentioned that “sometimes it takes five minutes to warm up”. Sometimes it was more than five minutes, and the power supply would click click click away. So that needed fixing and it was easy enough to find a compatible new replacement, however it cost 200 Euros. Expensive! The third problem I noticed was that some of the scans were coming out stretched. Often about 10% too wide/long, sometimes more than that. My panoramics looked panoooooooramic. I did some research and someone suggested this might be a “buffering issue”, which I thought was nonsense. Doing some testing I heard slipping sounds when the scanner was pulling the film into the body. After more research I stumbled on a post that suggested the belts need replacing. I opened the scanner up, and sure enough: A ha! You can’t quite see that the one on the back is even worse. I replaced those with compatible belts: 535 synchroflex t 2.5/245. Problem solved. The fourth problem was that the film holders were old and/or had been mishandled. They were falling apart and held together with electrical tape or glue, which didn’t seem optimal. Replacements cost 350 Euros in total for the four I needed. They’re now available cheaper from China, since the patents have expired. Or, you know, China. They used to cost about 200 Euros each from Hasselblad. The fifth problem, which is a potential one and hasn’t manifested yet, is that the lamps may eventually need replacing. I picked up a couple for 25 Euros. That seemed like a reasonable thing to do while they’re still available. Success? Let’s add up the costs of acquiring this scanner and renovating it: Scanner: 1,750.- CHF Power Supply: 175.- CHF Belts: 25.- CHF Film Holders: 350.- CHF Lamps: 25.- CHF Total: 2,325.- CHF (c. 2,500 EUR) In the last year (since acquiring the scanner) I have scanned: c. 250 panoramics frames (~ 6,000 CHF) c. 2,500 medium format frames (~ 80,000 CHF) c. 200 large format frames (~ 9,000 CHF) The figures in parentheses are what it would have cost me to have that number of frames scanned by a third party. That is, er, quite a saving. Also quite a lucrative business model perhaps? I think I can argue the cost of the scanner was a very good investment, and I haven’t finished using it yet. Even if it were to stop working tomorrow, it has already paid for itself many times over. Could it stop working tomorrow? Yes, because of other issues that will be harder to solve. The Bigger Issue(s)? A Power Mac G4 (discontinued in 2004). This came with the scanner, the necessary hardware and software to drive it, and is almost certainly living on borrowed time. Spinning metal is never good in the long-term. I’ll maybe purchase a backup soon, as these can still be found for a couple of hundred Euros. The key thing though, is that this very expensive, very high quality scanner, will at some point be rendered useless by the upgrade treadmill because the software required to run it will be increasingly difficult to run. A scanner that is still used by businesses, educational institutions, and individuals like me. A scanner that originally cost tens of thousands of Euros less than a decade ago. The upgrade treadmill is constantly whirring away. This is from the top of the Seattle Space Needle. “Do not upgrade anything on computer”. Clearly that notice speaks of someone being bitten by an upgrade at some point. I wonder is anyone else feeling the fatigue? Security updates, sure I can understand. But feature creep and trivialities? No! What tangible benefits have the last ten, fifteen, or even twenty years of OS updates brought? Other than security, and compatibility with newer hardware? New hardware is great, really, but by association forced deprecation of older hardware. No! It feels like the upgrade treadmill gets faster and steeper every year. Add to that subscription lock-in and dead endpoints: “I couldn’t vacuum my house because an SSL cert had expired” is what someone told me earlier this year. Fortunately this person is a software engineer so ended up man-in-the-middling the network traffic to get the vacuum cleaner to work again (no SSL-pinning it seems). “GoPro is announcing the end of life of the GoPro Quik app for macOS, effective at the end of 2024”. They discontinued the former in favour of their mobile app, which requires an account, login, subscription, and so on. I just want to transfer the videos from the hardware, I don’t need any of this crap (I don’t need any of that crap, it turns out GoPro haven’t locked the device down enough to prevent using third party apps to access the files. Yet). And, of course, software has to be in everything. These days the scanner would/could have an embedded Raspberry PI? Just a keyboard and mouse input, monitor and USB output would reduce the surface area, connectivity issues, and software dependency. Or software is never done? Because: externalities. I guess software is “done” when it’s no longer supported? Marciano Planque has a good piece on this: When hardware products reach end-of-life (EOL), companies should be forced to open-source the software. I think that’s a fair thing to say. I suspect Hasselblad/Imacon never open-sourced the software due to licensing issues. Or they just lost the source. Or they just don’t care, I don’t know. Maybe some combination of the three. And, inevitably, discontinued hardware like this scanner. Or, that is to say, discontinued parts? What about regulation changes? The panoramics I shoot are with a camera that was discontinued in 2004 because EU regulation banned lead solder in circuit boards. The company decided redesigning the parts wasn’t worth it. Old hardware has new exciting ways to fail. As time goes on components will fail or loosen - components that were expected to last decades. Then that results in tribal knowledge, or worse link rot and QR code rot. A lot of this stuff is hidden in walled gardens. There’s a Facebook Imacon group, for example. Why in the ever-loving fuck is a group for technical people, by technical people, on Facebook? Then there’s misleading AI. “My flextight scans are coming out stretched, what might the problem be?” LLM’s have gobbled up all the right information, and all the wrong information. Or information that is massively out of date. Nowhere in the suggestions here does it mention the belts might need replacing, which, according to my own research, is the most common reason these days. Legacy Software A decade ago I wrote an essay that also hit the front page of HN: All Software is Legacy. I think it is still relevant today, some parts not so much given we are now in The Age of Prompt, but mostly it’s still true. Nicholas always said “legacy software is the ugly stuff that makes you money”, which I think is true. But now it’s the stuff that surrounds us, like when I want to withdraw cash (guess what software most cash machines are still running?). Or when I want to take a train - when I gave this talk in Germany I had to get from the airport to the city centre. The ticket machines were disabled with a sign saying “no longer in use, download the app”. Then register. Then buy the ticket. I just want to give you money. Or when I wanted to pay for parking while stopping off at some random town in the UK - the same situation as with the ticket machines. “Download the app, register, pay”. Fuck that, I went and parked somewhere else. I just want to park, I don’t want to fight with software. Or if I want to hire a bike (not pictured: the half dozen apps on my phone to hire a bike). And when I want to buy stuff from a shop… One of the self-checkouts crashed recently in the coop, rebooting into a version of SUSE Linux from well over a decade ago. We’re collectively creating more and more of this everyday, letting it out into the world where it becomes a future liability for someone or the death knell for something. A pile of bikes, an unplugged ticket machine, a top of the line but no longer driveable scanner. References Imacon Users Group (the non-Facebook group) The state of Hasselblad Flextight scanners (2019) 1951 USAF resolution test chart Vlads Test Target Printer Story Original Scanner Blog Responses to HN Camera Scanning All Software is Legacy Repair Cafe
The Tetris effect is one of psychology’s most easy to reproduce experiments. Simply spend a bit of time playing the eponymous game every day for a few weeks. After a little while, you’ll start recognizing familiar Tetromino shapes in clouds, buildings, and everyday objects. You might even see them appear before your eyes when you start falling asleep. Tom Tang Attention hijacking There’s one lesson the Tetris effect teaches us: whatever you focus on long enough will end up shaping your thoughts. This can be a good thing since it’s how we learn new skills and discover new ideas. Sadly, less and less of our attention is focused intentionally. Instead of picking what we want to see we let other people decide what is supposed to be good for us. Do you want to watch a video? YouTube knows you like cooking and art streams. But why not also recommend a few clips about the stock market bubble, global warming, and the war in Iran. Doomscrolling will make you stay longer and click on a few more ads. Do you want to listen to music? Just open a Spotify playlist and let the algorithm figure out what you like. Please ignore the AI slop they will insert in between real songs to avoid paying royalties to real artists. Do you want to know how your colleagues are doing? Too bad, LinkedIn will bury any relevant career news between the opinion of complete strangers. It is surely just a coincidence that those strangers happen to be shilling whatever Microsoft is invested in at the moment. Do you want the opinion of strangers on a product? Well those Redditors you wanted to ask are probably just a bunch of LLMs talking to a bunch of Russian trolls now. I hope you didn’t value their opinion too much. If, like me and most people, you spend the major part of your day focused on your device, there’s no doubt it’s affecting you. And when you let someone else dictate what appears on your screen, it’s the same as giving them the key to your brain. New York Said Back to an intentional internet The internet wasn’t always like that. Before recommendation algorithms where a thing, you had to decide what you would be doing on the computer. You didn’t really have one big app that you could open and order it to entertain you. Instead, you had a few dozen of bookmarks to websites, each with a specific idea in mind. A site for video game news, that one website with lots of tutorials, a blog about anime that didn’t update often enough, a wiki about a TV show from the 90s… Of course awful things existed on the web. We had Encyclopedia Dramatica and Rotten.com, but you actually had to put the effort to go there if you wanted. Nobody was going to put pictures of dead kids and far-right propaganda as a suggestion after a pancake recipe or a cat video. The good thing is that this intentional internet is still around. It has just been a bit buried below the corporate web, but it’s not very hard to find. After all you’re on this blog, so you probably already have a good idea about it. The main difference between this time and now is you. When you want to get back to reading blogs, RSS feeds, and finish that tutorial instead of doomscrolling shorts, you have to get used to a slower internet. One where content is not infinite and doesn’t get updated every click. But like every habit, the only thing you have to do is to keep at it. And if you pay enough attention to it, something will click in your brain.
