Alternatives to AEM

I've been in the #frontend game for about 7 years now. I started coding in Sublime Text because all of the tutorials I was doing back then everyone was using it. I found the speed amazing compared to some other tools at the time. I kept using Sublime Text for about 4-5 years.

I find Sublime Text lacks some functionality, after all it is just a text editor rather than a full fledged IDE. I finally converted over to PhpStorm as I was working with Magento and Magento as you know is mainly #PHP based.

This was amazing all the features in PhpStorm I loved, the debugging features, and the control click feature when you click on a dependency or linked file it will take you to that file. It was great.

PhpStorm is kind of slow, I found that Prettier was taking a long time to format my code, and it just was lagging a lot so I was looking for alternatives. After watching some more tutorial videos I noticed that everyone was using Visual Studio Code. So I gave it a go, and its amazing.

It has support for everything I need with the plugins and the integration with Git is amazing. The speed of this IDE is blazing fast, and I wouldn't go back to using PhpStorm anymore. I highly recommend giving Visual Studio Code a try!

WordPress Magento PHP Java Swift JavaScript

Back in the days, we started looking for a date on different matrimonial websites as there were no Dating Applications. We used to create different profiles. It all changed in 2012 when Tinder, an Online Dating application came into India Market.

Tinder allowed us to communicate with our potential soul mates. That too without paying any extra money. I too got 4-6 matches in 6 years. It changed the life of many Millennials. Tinder created a revolution of its own. P.S. - I still don't have a date :(

Posting my first article. Please have a look and do give feedback.

Communication InAppChat Dating Matrimonial #messaging

I've heard that I have the ability to write well, at times. When it flows, it flows. I decided to start blogging in 2013 on Blogger. I started a company and joined BizPark with the Microsoft Azure allotment. I created a WordPress blog and did a migration at some point. A lot happened in the time after that migration but I stopped coding and changed cities during tumultuous times that taught me many lessons concerning mental health and productivity. I eventually graduated from BizSpark and outgrew the credit allotment. That killed the WordPress blog.

I blogged about writing again on the existing Blogger blog but it didn't feel right. I looked at a few options where I wouldn't have to worry about hosting cost indefinitely and Jekyll stood out with GitHub Pages. The Importer was fairly straightforward for the existing blog posts.

Todo * Set up redirects for all posts on blogger. The URI format is different so a complete redirect wouldn't work. Although, there may be something in Jekyll that could manage the redirects. I did notice the old URLs were stored in the front matter. I'm working on a command-line Ruby gem for the current plan. * I did find some of the lost WordPress posts on archive.org that I downloaded with the waybackmachinedownloader. I think I might write an importer for that. * I still have a few Disqus comment threads to map

Below is my own professional history to give some context to my current skill set. I have been a front-end dev for 18 years. My tools of choice are:

• HTML5
• CSS 3
• JavaScript
• WordPress
• PHP (but not my strongest skill as I don't write it too often)

I first of all would like to become a better and more 'full stack' developer, and I have a business idea that will hopefully allow me to move in this direction. The queries I have will result in which approach I take here. One of the most important aspects to me is the system being 'future proof'. If successful I know I will eventually bring additional developers on board, and they will likely be better developers than me! I want to avoid them having to rebuild the system and would like it to be something that they can just expand and improve on.

The business which I'd like to create is the following (in a nutshell), I have ideas for many more features, but this is how I'd like to begin:

Web-based system for gym management & marketing. Specifically a class-based gym

1. One-stop shop for a class-based gym owner
2. Sell memberships
3. Manage class bookings
4. Reporting
5. Automatically generated website
6. Choose a pre-designed template and amend the content through their dashboard
7. Marketing
8. Easily send a newsletter to members
9. Book a free trial form on the website linked directly to the booking system

Important requirements

1. One system, one dashboard. I would like the gym owner to have one place to control everything. Members, marketing, and website amendments.
2. Future proof. These features are the bare minimum and I'd like to keep expanding on the features as time goes on. Things like uploading programming for members, messaging between members and admin, and selling merchandise via the website.
3. Fast to load & secure. I live in the WordPress world right now, which isn't the fastest or most secure environment. I appreciate there are better ways to develop a system like this, but I'm a little clueless about where to start.
4. Mobile. The data created should easily communicate with a mobile app that customers will download to manage their memberships and class bookings.

TIA to anybody that can provide some guidance on where to start here.

Hi, I am working as a web developer (PHP, Laravel, AngularJS, and MySQL) with more than 8 years of experience and looking for a tech stack that pays better. I have a little bit of knowledge of Core Java. For better opportunities, Should I learn Java, Spring Boot or Python. Or should I learn Drupal, WordPress or Magento? Any guidance would be really appreciated! Thanks.

Hi. I’m a lead developer in charge of designing the build for version 2.0 of our startup SaaS website which is currently a traditional Drupal 7 site. I’m just looking for some peer advice that I am headed down an ok path now the product has grown & changed. tl;dr; 1) Is building a decoupled/headless Drupal 10 site with a JavaScript framework a dumb idea? 2) Should I look to a different headless CMS? 3) React or Vue.js or (other) in 2022?

Our requirements for our new site include

• White labeling / multisite spawning (will need separate databases for each)
• Complex permissions and several user roles
• Robust security
• Mobile app capability for iOS (for now - Android in the future)
• Multilingual capability
• Easy user management/creation by non-devs
• Reporting capabilities
• Some basic “marketing” pages (but this could be separate from the web app I suppose)
• A large amount of hosted video/image assets on AWS or similar
• Weekly/daily CRON jobs to send out emails & reports

Being that I am experienced in Drupal & PHP, my thought was to build a headless site with a Vue.js or React as the front end in Drupal 10. I've only got minimal experience in either JS framework so I'm not sure which I should choose to skill up. Does this seem reasonable or am I barking up the wrong tree?

Hi, I went through a comprehensive analysis - of headless/api content management systems - essentially to store content "bits" and publish them where needed (website, 3rd party sites, social media, etc.). I had considered many other solutions but ultimately chose Directus. I believe that was a good choice.

I had strongly considered Contentful, Strapi, Sanity, and hygraph. Hygraph came in #2 and contentful #3.

Ultimately I liked directus for:

(1) time in business

(2) open source

(3) integration with n8n and Pipedream

(4) pricing

(5) extensibility

Thoughts? Was this a good choice? We have many WordPress sites we're not (at least now) looking to replace with Directus, but instead to push to.

I'd love some feedback.

Hi. I am gonna build a simple app for a company to ease their work. The company is sending out pdf files to their users' email. The data is a health analysis with a lot of different health values. The app should be an MVP, where users can watch their data instead of opening a pdf file. The company should be able to fill in the data in either Firebase or Contentful database. Is Contentful or Firebase best for this solution? What is your opinion?

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.

I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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

Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

#FrameworksFullStack #Languages