Alternatives to Miro

When starting my new role at #Stessa, I needed a solution to start diagramming some of my #Architecture so I'd be able to share my views on #SystemArchitecture with the rest of the team.

In the past, I had worked with #VisualParadigm for #UML, in both desktop and #SaaS version of the product. Also worked with #LucidChart We also looked at potential alternatives such as Microsoft Visio for instance.

Ultimately, my recommendation was & we closed on Lucidchart, as it won on couple of key aspects : #Team #Collaboration, #Integrations with #AWS for instance, and certain specific visualizations we were looking for / others didn't have.

This isn't just for #Engineering. I've seen Lucidchart being used by #Product Teams, #Network #Engineers, #IT Departments, #DevOps, or non-Engineering related teams.

So I am a huge fan of JIRA like #massive I used it for many many years, and really loved it, used it personally and at work. I would suggest every new workplace that I worked at to switch to JIRA instead of what I was using.

When I started at #StackShare we were using a Trello #Kanban board and I was so shocked at how easy the workflow was to follow, create new tasks and get tasks QA'd and deployed. What was so great about this was it didn't come with all the complexity of JIRA. Like setting up a project, user rules etc. You are able to hit the ground running with Trello and get tasks started right away without being overwhelmed with the complexity of options in JIRA

With a few TrelloPowerUps we were easily able to add GitHub integration and storyPoints to our cards and thats all we needed to get a really nice agile workflow going.

I'm not saying that JIRA is not useful, I can see larger companies being able to use the JIRA features and have the time to go through all the complex setup to get a really good workflow going. But for smaller #Startups that want to hit the ground running Trello for me is the way to go.

In saying that what I would love Trello to implement is to allow me to create custom fields. Right now we just have a Description field. So I am adding User Stories & How To Test in the Markdown of the Description if I could have these as custom fields then my #Agile workflow would be complete.

#StackDecisionsLaunch

This time I want to share something different. For those that have read my stack decisions, it's normal to expect some advice on infrastructure or React Native. Lately my mind has been focusing more on product as a experience than what's it made of (anatomy). As a tech leader, I have to worry about things like: are we taking enough time for reviews? Are we improving over time? Are we faster now? Is our code of higher quality?

For all these questions you can add many great recommendations on your pipeline. We use Trello for bug-tracking and project management. We use https://danger.systems/js/ to add checks for linting, type-enforcing and other quality dimensions in our PRs and a great feature from Vercel that let's you previsualize deployments directly in a PR. However it's not easy to measure this improvements over time. For customer matters we have Amplitude or Firebase analytics, but for our internal process? That's a little bit more complicated.

I collaborated recently with some folks in a small startup as an early adopter to create a metrics dashboard for engineers. I tried to add the tool to stackshare.io but still it doesn't appear as one of the options, please take a look on it over product hunt and let us know https://www.producthunt.com/posts/scope-6

I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

So that's my latest mobile stack. What tools do you use? Have you tried these ones?

Last time we shared there information about our decision about using YouTrack over Jira actually we found much better solution that our team have loved. Linear is a minimalistic issue tracker that integrates well with Sentry, GitHub, Slack and Figma which are our basic tools. I would like to recommend checking out Linear as a potential alternative to "heavy" issue trackers, maybe at enterprises that may not work but when we're a startup that works awesome!

So I am a huge fan of JIRA like #massive I used it for many many years, and really loved it, used it personally and at work. I would suggest every new workplace that I worked at to switch to JIRA instead of what I was using.

When I started at #StackShare we were using a Trello #Kanban board and I was so shocked at how easy the workflow was to follow, create new tasks and get tasks QA'd and deployed. What was so great about this was it didn't come with all the complexity of JIRA. Like setting up a project, user rules etc. You are able to hit the ground running with Trello and get tasks started right away without being overwhelmed with the complexity of options in JIRA

With a few TrelloPowerUps we were easily able to add GitHub integration and storyPoints to our cards and thats all we needed to get a really nice agile workflow going.

I'm not saying that JIRA is not useful, I can see larger companies being able to use the JIRA features and have the time to go through all the complex setup to get a really good workflow going. But for smaller #Startups that want to hit the ground running Trello for me is the way to go.

In saying that what I would love Trello to implement is to allow me to create custom fields. Right now we just have a Description field. So I am adding User Stories & How To Test in the Markdown of the Description if I could have these as custom fields then my #Agile workflow would be complete.

#StackDecisionsLaunch

Last time we shared there information about our decision about using YouTrack over Jira actually we found much better solution that our team have loved. Linear is a minimalistic issue tracker that integrates well with Sentry, GitHub, Slack and Figma which are our basic tools. I would like to recommend checking out Linear as a potential alternative to "heavy" issue trackers, maybe at enterprises that may not work but when we're a startup that works awesome!

How we ended up choosing Confluence as our internal web / wiki / documentation platform at Katana.

It happened because we chose Bitbucket over GitHub . We had Katana's first hackaton to assemble and test product engineering platform. It turned out that at that time you could have Bitbucket's private repositories and a team of five people for free - Done!

This decision led us to using Bitbucket pipelines for CI, Jira for Kanban, and finally, Confluence. We also use Microsoft Office 365 and started with using OneNote, but SharePoint is still a nightmare product to use to collaborate, so OneNote had to go.

Now, when thinking of the key value of Confluence to Katana then it is Product Requirements Management. We use Page Properties macros, integrations (with Slack , InVision, Sketch etc.) to manage Product Roadmap, flash out Epic and User Stories.

We ended up with using Confluence because it is the best fit for our current engineering ecosystem.

I am working on a project for a client, I need to provide them with ideas and prototypes. They all have Adobe XD, but not InVision - I am the only one who will have that if purchased. I am trying to decide what would be the best tool to hand off the work to a developer who in terms will be working in PySide (Qt related) or Tkinter. Is there any benefits to me or the developer to work in Adobe XD or InVision. I am just trying to use the best tool to get the job done between the two.

Thank you in advance! Nadia

Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

Our whole DevOps stack consists of the following tools:

• GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
• Respectively Git as revision control system
• SourceTree as Git GUI
• Visual Studio Code as IDE
• CircleCI for continuous integration (automatize development process)
• Prettier / TSLint / ESLint as code linter
• SonarQube as quality gate
• Docker as container management (incl. Docker Compose for multi-container application management)
• VirtualBox for operating system simulation tests
• Kubernetes as cluster management for docker containers
• Heroku for deploying in test environments
• nginx as web server (preferably used as facade server in production environment)
• SSLMate (using OpenSSL) for certificate management
• Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
• PostgreSQL as preferred database system
• Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

• Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
• Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
• Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
• Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
• Scalability: All-in-one framework for distributed systems.
• Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.