Many organizations are eager to adopt microservices, sometimes before they even know if they need them. Knowing when they fit a need makes all the difference, and sometimes, not using them is the smarter move.
There are some cases where a microservice architecture is your best bet:
If your project has to support multiple technologies that don’t naturally work together, microservices are a natural fit. Take my experience with the Whitelist Sync Web project:
Originally, this project ran on a 100% .NET backend with a Vue frontend. Later, I migrated to a Node backend with a React frontend. However, I still needed to support SignalR—Microsoft’s real-time communication technology—because client applications in the field were dependent on it. The challenge? SignalR server-side hosting is only supported in C#. Node cannot host a SignalR hub.
Removing SignalR from the project wasn’t an option (unless I was willing to rewrite and redeploy all the client apps—which was out of scope). The solution was to create a separate SignalR microservice: a C# project dedicated to SignalR, communicating with the Node backend through JWT auth and REST endpoints. A reverse proxy routed /hubs/ requests to the SignalR service, while all other traffic hit the React app. The entire setup was managed using Docker Compose.
Microservices can be helpful for extending existing applications. If you want to add new functionality using a different tech stack—or isolate new features for a big team—they let you do this without rewriting your monolith.
Splitting your app into smaller, independently hosted pieces means a failure in one service won’t crash the entire application. Of course, you can build robust error handling into a monolith, but microservices can make fault isolation easier.
Cloud providers offer load balancing for monoliths, but microservices can provide more granular scaling. Just keep in mind, if you don’t have heavy load or growth requirements, this might not be worth the extra complexity and cost.
Microservices let you mix and match tech: imagine a Node backend, a React frontend, and a Python microservice for AI features. Each part of your app can use the best tool for the job.
While microservices have their place, they also come with significant downsides:
Running multiple services means more infrastructure, more devops, and more cloud spend. If your application has low demand, this cost is often unjustified. Starting new projects with a single stack keeps things cheaper and simpler.
Multiple services means more to manage: logging, monitoring, orchestration (hello, Kubernetes), and maintenance. All of this adds to the operational burden.
Using cloud-specific services like Azure Functions ties your app to one provider. Migrating later is possible, but few businesses want to refactor dozens of microservices just to escape rising costs.
Deploying a monolith is straightforward. Microservices require complex CI/CD pipelines and orchestration. Tools like Fynydd fdeploy can help, but they add yet another layer of infrastructure.
With more moving parts, it’s harder to add features, fix bugs, and onboard new team members.
Microservices make authentication harder. Instead of just handling user auth, you now need to manage service-to-service authentication, which can be complicated and error-prone.
Given all these costs, it’s clear: Start simple. For most projects, especially those with low load or a single technology stack, a monolith is the best starting point. Design your application with modularity and future growth in mind, so you can break it into microservices if you ever need to. But don’t jump into microservices unless you’re solving real problems that require them.
Further reading: You Don’t Need Microservices (itnext.io)
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Tools like Google NotebookLM and custom generative AI services are fundamentally changing how users interact with information. We're seeing a transition from static reports and interfaces to dynamic chat-based tools that give users exactly what they need, and even things they didn't know they needed.
If you're not familiar with NotebookLM, it's a tool that allows you to provide your own documents (like PDF, text files, audio), and then chat with the data. You can even listen to an AI-generated podcast that explains all the information. For example, I had loaded a project with PDF documents containing the rule book, technical rules, and officials briefing information for USA Swimming, and was then able to get answers to questions like "how is a breaststroke turn judged?"
It was kinda magical.
We've been working with clients on permutations of this scenario for some time. For example, we partnered with a client in the life sciences space to build a chat-based tool that connects various third party API services with disparate information, providing account managers with a single source for helping their customers recommend products and services to ensure better health outcomes.
This is no small feat when the goal is a best-of-breed user experience (UX) like ChatGPT. It can involve multiple service providers like Microsoft Azure and Amazon Web Services, as well as various tools like cloud-based large language models (LLM), vector search, speech services, cloud storage, charting tools, location services, AI telemetry, and more. But when it's done right, the result is amazing. You can ask questions that span disciplines and contexts and see results you may not have ever seen before.
Most organizations can really benefit from exploring how generative AI can positively impact their offerings and give them a competitive advantage. Like we always say, it's not about the organizations that use AI, it's about the ones that don't.
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There is a world full of "build your own website" services that allow just about anyone to stand up a new website in a few hours. Even organizations can leverage the simplicity offered by these services to set up an online store, community, and more. Here are a few examples of why people typically choose these services.
Sounds great! But as with everything in life, there are tradeoffs.
Regardless, these services can be a great way for individuals and small organizations to bootstrap their web presence, and in many cases, you can happily continue to use the service for years.
But there are also long-term lock-in issues that can be more serious, potentially impeding your growth, for example:
If the tradeoffs are too much to swallow, fear not! You can also go with a custom web app tailored specifically to your needs and budget. It can match your vision without compromises and scaling can be managed more easily as your business or traffic grow.
So how do you get started? With a builder service you first have to find one with the price and features you need, and then create an account and dig into their control panel to start configuring your website. Whereas for a custom website the first step is to find a web development partner you can rely on for advice and technical expertise, like Fynydd. Your partner can help gather your ideas, come up with a plan, and build your web app, all within your budget and timeline. They're usually experts in both new web app projects and migrations from other platforms and services. Most importantly, they fill the knowledge gap left by the "build your own website" service.
A web development partner will choose technologies that have a proven security track record. One way we do this is by consulting the CVE database; a publicly funded global resource for tracking common vulnerabilities and exposures. For example, a CVE search quickly reveals that WordPress has historically been a security nightmare.
Your development partner will help you with a design that matches your vision, a hosting service that meets your needs and budget, a security review, a backup plan and disaster recovery strategy, and more. When the time comes to grow your platform, they can help with that too. And throughout the journey you maintain full control over your brand, your website, your data, and your customers.
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When it comes to offshore software development teams, managing quality and risk creates value. But you also need experienced leadership and oversight for long-term success. Simply adding offshore bodies to a project rarely works, and has diminishing returns.
Here are some process tips for mitigating risk and getting the most value from an offshore team.
Some of the issues you'll encounter can be avoided by engaging with an onshore development partner. Here are some tips for keeping the app or service quality high and the risk low.
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Planning out a long-term strategy for your web project can really pay off. We were recently reminded of that when we were asked to create a mobile app (iOS and Android) for a web-based platform we designed and built several years ago. The platform is Coursabi, a learning platform that ensures growth at each milestone for everyone on your team. You can check it out at https://coursabi.com.
When we created the technical strategy we knew that a mobile app was a likely roadmap item. So we chose ASP.NET Blazor as the core platform technology. It allowed us to build a web app that felt like a single page app (SPA). And it gave us several hosting models: server, WASM (WebAssembly), and hybrid mobile. The most intriguing aspect of the Blazor Hybrid model is that unlike hybrid apps of the past, there is no web server running on the mobile device. Instead, all the C# code is compiled to native .NET code, and the web view (an embedded web browser) is only used to render the user interface. So the app runs as a native mobile app!
We knew that some features of the platform would have to be altered, since the mobile app has no web server. For example, Coursabi supports the SCORM format for external learning content. And due to security restrictions, they needed a host with a trusted root certificate. So moving that out of the platform and handling the routing changes were both necessary, but totally doable.
Another benefit of a mobile app version of the platform is that in many ways it also simplifies the security model, since the app is only running on the local device, whereas a hosted app needs to manage user state, among other concerns.
If you have an ASP.NET-based web application, you can still leverage Blazor Hybrid to turn it into a mobile app. It just needs to first be migrated into a Blazor app. I'd also recommend reviewing your web app for opportunities to make it as mobile-friendly as possible. You don't want your mobile app to look or feel like a website. But those changes not only get you a great mobile app, they also improve how your app looks and feels in a mobile web browser. So you get twice the value.
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The Enigma machine is a cipher device developed and used in the early- to mid-20th century to protect commercial, diplomatic, and military communication. It was employed extensively by Nazi Germany during World War II, in all branches of the German military. The Enigma machine was considered so secure that it was used to encipher the most top-secret messages.
This project is a high performance Enigma Machine emulator that allows you to:
Just like the physical device, machine state is used to both encipher and decipher text with the same Encipher() method (like a text toggle). Machine state had to match on both the encipher and decipher machines. Each operator would add specific rotors in a specific order, set rotor ring positions and starting rotations, as well as set plug wire positions. This emulator provides virtual versions of all key machine components by way of a deterministic random number generator using AES in counter (CTR) mode.
The emulated components include:
Additionally, characters in the source string that do not exist in the cipher character set are kept as-is in the enciphered text. For example, if you encipher a string with line breaks they are maintained in-place in the enciphered text since neither the classic 26 letter character set nor the 95 character ASCII set contain line break characters.
The emulator is FAST! When using the full 95 character ASCII character set, a large 800KB text string takes about 1 second to encipher. Typical text sizes encipher in a few milliseconds.
The physical machine modified with a plug board provided 150 trillion possible settings combinations for the 26 letter character set, with a 10^16 key space for a 3 rotor configuration. 4 rotors yielded a key space of 10^19, 5 rotors yielded a key space of 10^23, and so on.
So by simply using the full 95 character ASCII character set the cipher strength will be exponentially better than the original machine, even without additional rotors or other configuration, and should meet modern quantum-resistant cryptography needs.
It's easy to create a new virtual Enigma Machine and encipher your own text by using one of the provided presets based on one of the provided historical machine configurations:
Using one of the presets is easy:
It's even easier to use the Enigma Machine for modern encryption, since all you need to provide are a cipher key, nonce, and the number of relevant machine components. There's no need to change rotor ring positions and rotations, or set plug board wire pair values, since your cipher key and nonce are unique and drive the creation of all machine components.
Here's an example of using the Enigma Machine without a historical preset:
You can also create a custom machine by assembling the virtual components, and more. Check out the project on Github.
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.NET 9 was officially released during .NET Conf. This release feels like a LTS release; full of speed improvements and quality of life features and refinements, even if you only use it as a drop-in replacement for .NET 8.
Ollama Farm is a CLI tool that intermediates REST API calls to multiple ollama API services. Simply make calls to the Ollama Farm REST API as if it were an ollama REST API and the rest is handled for you.
Install dotnet 8 or later from https://dotnet.microsoft.com/en-us/download and then install Ollama Farm with the following command:
You should relaunch Terminal/cmd/PowerShell so that the system path will be reloaded and the ollamafarm command can be found. If you've previously installed the dotnet runtime, this won't be necessary.
You can update to the latest version using the command below.
You can remove the tool from your system using the command below.
Ollama Farm is a system-level command line interface application (CLI). After installing you can access Ollama Farm at any time.
To get help on the available commands, just run ollamafarm in Terminal, cmd, or PowerShell. This will launch the application in help mode which displays the commands and options.
For example, you can launch Ollama Farm with one or more host addresses to include in the farm:
In this example, Ollama Farm will listen on port 4444 for requests to /api/generate. The requests are standard Ollama API REST requests: HTTP POST with a JSON payload. Requests will get sent to the first available host in the farm.
You can also change the default Ollama Farm listening port of 4444:
And if you run any ollama hosts on a port other than 11434, just specify the port in the host names using colon syntax:
Requests made to the Ollama Farm service will be routed to one of the available Ollama API hosts in the farm. Requests should be sent to this service (default port 4444) following the standard Ollama JSON request format (HTTP POST to /api/generate/). Streaming is supported.
Hosts are checked periodically and are taken offline when they are unavailable. They are also brought back online when they become available.
To optimize performance Ollama Farm restricts each host to processing one request at a time. When all hosts are busy REST calls return status code 429 (too many requests). This allows requesters to poll until a resource is available.
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Web developers rejoice! There's an easy way to animate the height of an HTML element even if the height is dynamic, determined by its content, with only CSS. This is typically used for navigation menus and the like, and now it's much easier to code and maintain.
The strategy is to actually animate the grid-template-rows not the height. For example, take the following HTML markup:
The CSS for this markup would be:
Initially the outer div will be hidden since it has no overflow and the grid template rows are zero. When you add active to the outer div element's class list, the browser will animate the transition from zero row height to 1fr, which essentially means the height it needs for its content to render.
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On macOS it's pretty easy to automate the installation of all your apps, including Mac App Store apps, for those times when you get a new Mac or wipe your current one. As a software developer I find this capability indispensable, as would any professional or power user.
All you need to do is install Homebrew and then use it to install mas (which is an acronym for Mac App Store). Once they are installed, you can install all your software using a convenient Bash script. Homebrew will be used to install non-store apps, and mas will handle installing the Mac App Store apps.
Note: only Mac App Store apps you have already installed previously can be installed with mas. You cannot install new apps you have never installed from the store.
The most obvious reason to script out your software installations is that it greatly reduces the time to set up a new Mac, as well as ensure that you don't forget to install one or more apps. It also provides a way to update all the apps at once via the brew upgrade command. And it also provides a way to update apps that don't have their own update feature.
Apps installed with mas will be updated normally by the Mac App Store.
In order to use this process you need to know the names of the Homebrew formulae/casks for each application, and you also need to know the IDs of the Mac App Store apps for mas. Fortunately this is super easy.
First, Homebrew has a tool for finding software available in their service at https://formulae.brew.sh/. Simply use this to find your apps and make sure you're installing the right ones. Those listed as “casks” are GUI Mac apps (normal apps you don't run from the Terminal). Ones listed as “formulae” are typically command line tools run from the Terminal or services without an interface.
Second, for Mac App Store apps you simply use mas to list what's currently on your computer from the Mac App Store.
This will give you a list of currently installed apps from the Mac App Store, with their IDs:
You can also search for Mac App Store apps by name using the mas search command:
This will show a similar result for matches. You can even install all search results with a single “lucky” command. See the mas help for these and other options.
Here's an example of a Bash script to get you started. I keep a similar script updated as I use new apps or stop using others. Then I'm ready to go when I have to set up a new or wiped Mac.
You can name the Bash script something like install-software.sh and execute it in a Terminal like this:
The first time you use the script will absolutely justify the time spent writing it. The second time you run it you will thank your past self for being so smart 😉.
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