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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!
If you have the luxury of starting a new Rails app today, here’s our recommendation: go vanilla. Fight hard before adding Ruby dependencies. Keep that Gemfile that Rails generates as close to the original one as possible. Fight even harder before adding Javascript dependencies. You don’t need React or any other front-end frameworks, nor a JSON API to feed those. Hotwire is a fantastic, pragmatic, and ridiculously productive technology for the front end. Use it. The same goes for mobile apps: use Hotwire Native. With a hybrid approach you can combine the very same web app you have built with a wonderful native experience right where you want it. The productivity compared to a purely native approach is night and day. Embrace and celebrate rendering things on the server. It has become cool again. ERB templates and view helpers will take you as long as you need, and they are a fantastic common ground for designers to collaborate hands-on with the code. #nobuild is the simplest way to go; don’t close this door with your choices. Instead of bundling Javascript, use import maps. Don’t bundle CSS, just use modern standard CSS goodies and serve them all with Propshaft. If you have 100 Javascript files and 100 stylesheets, serve 200 standalone requests multiplexed over HTTP2. You will be delighted. Don’t add Redis to the mix. Use solid_cache for caching, solid_queue for jobs, and solid_cable for Action Cable. They will all work on your beloved relational database and are battle-tested. Test your apps with Minitest. Use fixtures and build a realistic set of those as you cook your app. Make your app a PWA, which is fully supported by Rails 8. This may be more than enough before caring about mobile apps at all. Deploy your app with Kamal. If you want heuristics, your importmap.rb should import Turbo, Stimulus, your app controllers, and little else. Your Gemfile should be almost identical to the one that Rails generates. I know it sounds radical, but going vanilla is a radical stance in this convoluted world of endless choices. This is the Rails 8 stack we have chosen for our new apps at 37signals. We are a tiny crew, so we care a lot about productivity. And we sell products, not stacks, so we care a lot about delighting our users. This is our Omakase stack because it offers the optimal balance for achieving both. Vanilla means your app stays nimble. Fewer dependencies mean fewer future headaches. You get a tight integration out of the box, so you can focus on building things. It also maximizes the odds of having smoother future upgrades. Vanilla requires determination, though, because new dependencies always look shiny and shinier. It’s always clear what you get when you add them, but never what you lose in the long term. It is certainly up to you. Rails is a wonderful big tent. These are our opinions. If it resonates, choose vanilla! Guess what our advice is for architecting your app internals?
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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I started writing this early last week but Real Life Stuff happened and now you're getting the first-draft late this week. Warning, unedited thoughts ahead! New Logic for Programmers release! v0.9 is out! This is a big release, with a new cover design, several rewritten chapters, online code samples and much more. See the full release notes at the changelog page, and get the book here! Write the cleverest code you possibly can There are millions of articles online about how programmers should not write "clever" code, and instead write simple, maintainable code that everybody understands. Sometimes the example of "clever" code looks like this (src): # Python p=n=1 exec("p*=n*n;n+=1;"*~-int(input())) print(p%n) This is code-golfing, the sport of writing the most concise code possible. Obviously you shouldn't run this in production for the same reason you shouldn't eat dinner off a Rembrandt. Other times the example looks like this: def is_prime(x): if x == 1: return True return all([x%n != 0 for n in range(2, x)] This is "clever" because it uses a single list comprehension, as opposed to a "simple" for loop. Yes, "list comprehensions are too clever" is something I've read in one of these articles. I've also talked to people who think that datatypes besides lists and hashmaps are too clever to use, that most optimizations are too clever to bother with, and even that functions and classes are too clever and code should be a linear script.1. Clever code is anything using features or domain concepts we don't understand. Something that seems unbearably clever to me might be utterly mundane for you, and vice versa. How do we make something utterly mundane? By using it and working at the boundaries of our skills. Almost everything I'm "good at" comes from banging my head against it more than is healthy. That suggests a really good reason to write clever code: it's an excellent form of purposeful practice. Writing clever code forces us to code outside of our comfort zone, developing our skills as software engineers. Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you [will get excellent debugging practice at exactly the right level required to push your skills as a software engineer] — Brian Kernighan, probably There are other benefits, too, but first let's kill the elephant in the room:2 Don't commit clever code I am proposing writing clever code as a means of practice. Being at work is a job with coworkers who will not appreciate if your code is too clever. Similarly, don't use too many innovative technologies. Don't put anything in production you are uncomfortable with. We can still responsibly write clever code at work, though: Solve a problem in both a simple and a clever way, and then only commit the simple way. This works well for small scale problems where trying the "clever way" only takes a few minutes. Write our personal tools cleverly. I'm a big believer of the idea that most programmers would benefit from writing more scripts and support code customized to their particular work environment. This is a great place to practice new techniques, languages, etc. If clever code is absolutely the best way to solve a problem, then commit it with extensive documentation explaining how it works and why it's preferable to simpler solutions. Bonus: this potentially helps the whole team upskill. Writing clever code... ...teaches simple solutions Usually, code that's called too clever composes several powerful features together — the "not a single list comprehension or function" people are the exception. Josh Comeau's "don't write clever code" article gives this example of "too clever": const extractDataFromResponse = (response) => { const [Component, props] = response; const resultsEntries = Object.entries({ Component, props }); const assignIfValueTruthy = (o, [k, v]) => (v ? { ...o, [k]: v } : o ); return resultsEntries.reduce(assignIfValueTruthy, {}); } What makes this "clever"? I count eight language features composed together: entries, argument unpacking, implicit objects, splats, ternaries, higher-order functions, and reductions. Would code that used only one or two of these features still be "clever"? I don't think so. These features exist for a reason, and oftentimes they make code simpler than not using them. We can, of course, learn these features one at a time. Writing the clever version (but not committing it) gives us practice with all eight at once and also with how they compose together. That knowledge comes in handy when we want to apply a single one of the ideas. I've recently had to do a bit of pandas for a project. Whenever I have to do a new analysis, I try to write it as a single chain of transformations, and then as a more balanced set of updates. ...helps us master concepts Even if the composite parts of a "clever" solution aren't by themselves useful, it still makes us better at the overall language, and that's inherently valuable. A few years ago I wrote Crimes with Python's Pattern Matching. It involves writing horrible code like this: from abc import ABC class NotIterable(ABC): @classmethod def __subclasshook__(cls, C): return not hasattr(C, "__iter__") def f(x): match x: case NotIterable(): print(f"{x} is not iterable") case _: print(f"{x} is iterable") if __name__ == "__main__": f(10) f("string") f([1, 2, 3]) This composes Python match statements, which are broadly useful, and abstract base classes, which are incredibly niche. But even if I never use ABCs in real production code, it helped me understand Python's match semantics and Method Resolution Order better. ...prepares us for necessity Sometimes the clever way is the only way. Maybe we need something faster than the simplest solution. Maybe we are working with constrained tools or frameworks that demand cleverness. Peter Norvig argued that design patterns compensate for missing language features. I'd argue that cleverness is another means of compensating: if our tools don't have an easy way to do something, we need to find a clever way. You see this a lot in formal methods like TLA+. Need to check a hyperproperty? Cast your state space to a directed graph. Need to compose ten specifications together? Combine refinements with state machines. Most difficult problems have a "clever" solution. The real problem is that clever solutions have a skill floor. If normal use of the tool is at difficult 3 out of 10, then basic clever solutions are at 5 out of 10, and it's hard to jump those two steps in the moment you need the cleverness. But if you've practiced with writing overly clever code, you're used to working at a 7 out of 10 level in short bursts, and then you can "drop down" to 5/10. I don't know if that makes too much sense, but I see it happen a lot in practice. ...builds comradery On a few occasions, after getting a pull request merged, I pulled the reviewer over and said "check out this horrible way of doing the same thing". I find that as long as people know they're not going to be subjected to a clever solution in production, they enjoy seeing it! Next week's newsletter will probably also be late, after that we should be back to a regular schedule for the rest of the summer. Mostly grad students outside of CS who have to write scripts to do research. And in more than one data scientist. I think it's correlated with using Jupyter. ↩ If I don't put this at the beginning, I'll get a bajillion responses like "your team will hate you" ↩
Whether we like it or not, email is widely used to identify a person. Code sent to email is used as authentication and sometimes as authorisation for certain actions. I’m not comfortable with Google having such power over me, especially given the fact that they practically don’t have any support you can appeal to. If your Google account is blocked, that’s it. Maybe you know someone from Google and they can help you, but for most of us mortals that’s not an option.
In his book “The Order of Time” Carlo Rovelli notes how we often asks ourselves questions about the fundamental nature of reality such as “What is real?” and “What exists?” But those are bad questions he says. Why? the adjective “real” is ambiguous; it has a thousand meanings. The verb “to exist” has even more. To the question “Does a puppet whose nose grows when he lies exist?” it is possible to reply: “Of course he exists! It’s Pinocchio!”; or: “No, it doesn’t, he’s only part of a fantasy dreamed up by Collodi.” Both answers are correct, because they are using different meanings of the verb “to exist.” He notes how Pinocchio “exists” and is “real” in terms of a literary character, but not so far as any official Italian registry office is concerned. To ask oneself in general “what exists” or “what is real” means only to ask how you would like to use a verb and an adjective. It’s a grammatical question, not a question about nature. The point he goes on to make is that our language has to evolve and adapt with our knowledge. Our grammar developed from our limited experience, before we know what we know now and before we became aware of how imprecise it was in describing the richness of the natural world. Rovelli gives an example of this from a text of antiquity which uses confusing grammar to get at the idea of the Earth having a spherical shape: For those standing below, things above are below, while things below are above, and this is the case around the entire earth. On its face, that is a very confusing sentence full of contradictions. But the idea in there is profound: the Earth is round and direction is relative to the observer. Here’s Rovelli: How is it possible that “things above are below, while things below are above"? It makes no sense…But if we reread it bearing in mind the shape and the physics of the Earth, the phrase becomes clear: its author is saying that for those who live at the Antipodes (in Australia), the direction “upward” is the same as “downward” for those who are in Europe. He is saying, that is, that the direction “above” changes from one place to another on the Earth. He means that what is above with respect to Sydney is below with respect to us. The author of this text, written two thousand years ago, is struggling to adapt his language and his intuition to a new discovery: the fact that the Earth is a sphere, and that “up” and “down” have a meaning that changes between here and there. The terms do not have, as previously thought, a single and universal meaning. So language needs innovation as much as any technological or scientific achievement. Otherwise we find ourselves arguing over questions of deep import in a way that ultimately amounts to merely a question of grammar. Email · Mastodon · Bluesky
In mid-March we released a big bug fix update—elementary OS 8.0.1—and since then we’ve been hard at work on even more bug fixes and some new exciting features that I’m excited to share with you today! Read ahead to find out what we’ve released recently and what you can help us test in Early Access. Quick Settings Quick Settings has a new “Prevent Sleep” toggle Leo added a new “Prevent Sleep” toggle. This is useful when you’re giving a presentation or have a long-running background task where you want to temporarily avoid letting the computer go to sleep on its normal schedule. We also fixed a bug where the “Dark Mode” toggle would cancel the dark mode schedule when used. We now have proper schedule snoozing, so when you manually toggle Dark Mode on or off while using a timed or sunset-to-sunrise schedule, your schedule will resume on the next schedule change instead of being canceled completely. Vishal also fixed an issue that caused some apps to report being improperly closed on system shutdown or restart and on the lock screen we now show the “Suspend” button rather than the “Lock” button. System Settings Locale settings has a fresh layout thanks to Alain with its options aligned more cleanly and improved links to additional settings. Locale Settings has a more responsive design We’ve also added the phrase “about this device” as a search term for the System page and improved interface copy when a restart is required to finish installing updates based on your feedback. Plus, Stanisław improved stylus detection in Wacom settings preventing a crash when no stylus is found. AppCenter We now show a small label next to the download button for apps which contain in-app purchases. This is especially useful for easily identifying free-to-play games or alt stores like Steam or Heroic Games Launcher. AppCenter now shows when apps have in-app purchases Plus, we now reload app icons on-the-fly as their data is processed, thanks to Italo. That means you’ll no longer get occasionally stuck with an AppCenter which shows missing images for app’s who have taken a bit longer than usual to load. Get These Updates As always, pop open System Settings → System on elementary OS 8 and hit “Update All” to get these updates plus your regular security, bug fix, and translation updates. Or set up automatic updates and get a notification when updates are ready to install! Early Access Our development focus recently has been on some of the bigger features that will likely land for either elementary OS 8.1 or 9. We’ve got a new app, big changes to the design of our desktop itself, a whole lot of under-the-hood cleanup, and the return of some key system services thanks to a new open source project. Monitor We’re now shipping a System Monitor app by default By popular demand—and thanks to the hard work of Stanisław—we have a new system monitor app called “Monitor” shipping in Early Access. Monitor provides usage information for your processor, GPU, memory, storage, network, and currently running processes. You can optionally see system information in the panel with Monitor You can also optionally get a ton of glanceable information shown in the panel. There’s currently a lot of work happening to port Monitor to GTK4 and improve its functionality under the Secure Session, so make sure to report any issues you find! Multitasking The Dock is getting a workspace switcher Probably the biggest change to the Pantheon shell since its early inception, the Dock is getting a new workspace switcher! The workspace switcher works in a familiar way to the one you may have seen in the Multitasking View: Your currently open workspaces are represented as tiles with the icons of apps running on them; You can select a workspace to switch to it; You can drag-and-drop workspaces to rearrange them; And you can use the “+” button to create a new blank workspace. One new trick however is that selecting the workspace you’re already on will launch Multitasking View. The new workspace switcher makes it so much more accessible to multitask with just the mouse and get an overview of your workflows without having to first enter the Multitasking View. We’re really excited to hear what people think about it! You can close apps from Multitasking View by swiping up Another very satisfying feature for folks using touch input, you can now swipe up windows in the Multitasking View to close them. This is a really familiar gesture for those of us with Android and iOS devices and feels really natural for managing a big stack of windows without having to aim for a small “x” button. GTK4 Porting We’ve recently landed the port of Tasks to GTK4. So far that comes with a few fixes to tighten up its design, with much more possible in the future. Please make sure to help us test it thoroughly for any regressions! Tasks has a slightly tightened up design We’re also making great progress on porting the panel to GTK4. So far we have branches in review for Nightlight, Bluetooth, Datetime, and Network indicators. Power, Keyboard, and Quick Settings indicators all have in-progress branches. That leaves just Applications, Sound, and Notifications. So far these ports don’t come with major feature changes, but they do involve lots of cleaning up and modernizing of these code bases and in some cases fixing bugs! When the port is finished, we should see immediate performance gains and we’ll have a much better foundation for future releases. You can follow along with our progress porting everything to GTK4 in this GitHub Project. And More When you take a screenshot using keyboard shortcuts or by secondary-clicking an app’s window handle, we now send a notification letting you know that it was succesful and where to find the resulting image. Plus there’s a handy button that opens Files with your screenshot pre-selected. We’re also testing beaconDB as a replacement for Mozilla Location Services (MLS). If you’re not aware, we relied on MLS in previous versions of elementary OS to provide location information for devices that don’t have a GPS radio. Unfortunately Mozilla discontinued the service last June and we’ve been left without a replacement until now. Without these services, not only did maps and weather apps cease to function, but system features like automatic timezone detection and features that rely on sunset and sunrise times no longer work properly. beaconDB offers a drop-in replacement for MLS that uses Wireless networks, bluetooth devices, and cell towers to provide location data when requested. All of its data is crowd-sourced and opt-in and several distributions are now defaulting to using it as their location services data provider. I’ve set up a small sponsorship from elementary on Liberapay to support the project. If you can help support beaconDB either by sponsoring or providing stumbler data, I’d highly encourage you to do so! Sponsors At the moment we’re at 23% of our monthly funding goal and 336 Sponsors on GitHub! Shoutouts to everyone helping us reach our goals here. Your monthly sponsorship funds development and makes sure we have the resources we need to give you the best version of elementary OS we can! Monthly release candidate builds and daily Early Access builds are available to GitHub Sponsors from any tier! Beware that Early Access builds are not considered stable and you will encounter fresh issues when you run them. We’d really appreciate reporting any problems you encounter with the Feedback app or directly on GitHub.
Via Jeremy Keith’s link blog I found this article: Elizabeth Goodspeed on why graphic designers can’t stop joking about hating their jobs. It’s about the disillusionment of designers since the ~2010s. Having ridden that wave myself, there’s a lot of very relatable stuff in there about how design has evolved as a profession. But before we get into the meat of the article, there’s some bangers worth acknowledging, like this: Amazon – the most used website in the world – looks like a bunch of pop-up ads stitched together. lol, burn. Haven’t heard Amazon described this way, but it’s spot on. The hard truth, as pointed out in the article, is this: bad design doesn’t hurt profit margins. Or at least there’s no immediately-obvious, concrete data or correlation that proves this. So most decision makers don’t care. You know what does help profit margins? Spending less money. Cost-savings initiatives. Those always provide a direct, immediate, seemingly-obvious correlation. So those initiatives get prioritized. Fuzzy human-centered initiatives (humanities-adjacent stuff), are difficult to quantitatively (and monetarily) measure. “Let’s stop printing paper and sending people stuff in the mail. It’s expensive. Send them emails instead.” Boom! Money saved for everyone. That’s easier to prioritize than asking, “How do people want us to communicate with them — if at all?” Nobody ever asks that last part. Designers quickly realized that in most settings they serve the business first, customers second — or third, or fourth, or... Shar Biggers [says] designers are “realising that much of their work is being used to push for profit rather than change..” Meet the new boss. Same as the old boss. As students, designers are encouraged to make expressive, nuanced work, and rewarded for experimentation and personal voice. The implication, of course, is that this is what a design career will look like: meaningful, impactful, self-directed. But then graduation hits, and many land their first jobs building out endless Google Slides templates or resizing banner ads...no one prepared them for how constrained and compromised most design jobs actually are. Reality hits hard. And here’s the part Jeremy quotes: We trained people to care deeply and then funnelled them into environments that reward detachment. And the longer you stick around, the more disorienting the gap becomes – especially as you rise in seniority. You start doing less actual design and more yapping: pitching to stakeholders, writing brand strategy decks, performing taste. Less craft, more optics; less idealism, more cynicism. Less work advocating for your customers, more work for advocating for yourself and your team within the organization itself. Then the cynicism sets in. We’re not making software for others. We’re making company numbers go up, so our numbers ($$$) will go up. Which reminds me: Stephanie Stimac wrote about reaching 1 year at Igalia and what stood out to me in her post was that she didn’t feel a pressing requirement to create visibility into her work and measure (i.e. prove) its impact. I’ve never been good at that. I’ve seen its necessity, but am just not good at doing it. Being good at building is great. But being good at the optics of building is often better — for you, your career, and your standing in many orgs. Anyway, back to Elizabeth’s article. She notes you’ll burn out trying to monetize something you love — especially when it’s in pursuit of maintaining a cost of living. Once your identity is tied up in the performance, it’s hard to admit when it stops feeling good. It’s a great article and if you’ve been in the design profession of building software, it’s worth your time. Email · Mastodon · Bluesky