I am going to work on a real estate project and have to finalize it on a database. Now SQL databases can be very efficient if appropriately designed. More relations between the data and less redundancy. But with a noSQL database, the development time is reduced, and it is easy to query. Since this is my first time working on a real estate domain, I would like to pick a database that would be efficient in the long run.
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What are the best options to build SPA, keeping in mind the website will be loaded with high graphics and videos.
Local roofing and solar installation company with 50 employees and growing quickly. We are rebuilding the company to scale from mom-and-pop to region leader.
We want to rebuild our website > http://wicksroofing.com/ < so that we can create a customer login portal for both our clients and our employees that will pipe in progress reports from data scrapped out of our ERP Acumatica.
We want to make sure to pick a website platform with the best potential for integrating with cloud based tools to help seamless tool integrations in our operational workflows. We also want a site that loads quickly, feels high value, device reactive and can be edited and updated by non-coding staff. I've never been on stackshare, this seems like a great resource, anyone knowledgeable on which website platform we should go with that meets our needs is much appreciated.
Hi Whitney, I would recommend using Webflow to design the marketing website, and use Laravel for the customer portal. You can also use Webflow for the design of the customer portal area, but as far as the marketing goes, I would keep your marketing site separate from your customer app, as you won't want marketing people to have access to customer info easily, and you will want to separate concerns to keep things easy to manage.
Your desire for employees to easily update site content is easy to do with Webflow, and will be the best cms for the marketing side.
Reason why I recommend Laravel for the customer app, is that it is secure, highly scalable, well designed, and you will easily find people to help with future development of the site.
If you would like help with any of this, I would be happy to help. I have a small web development and design company.
appear.inFirst of all, it seems that you are comparing apples to hammers to wristwatches. Webflow, React and Bootstrap are entirely different tools trying to solve entirely different problems. So, with respect, I want to ignore that part of the question and focus on what you probably need as I understand it.
Second; the marketing website and the customer portal are different beasts entirely. They will probably have completely different problems to solve, and those will require completely different tools.
Third; as I understand from your explanation, it is yet too early to decide on a tech stack for the systems you want to build. You have some goals in mind, but those must first turn into well-thought designs that include user flows, information architecture, service design blueprints etc. as needed. Only then it may be possible to make a sensible comparison of tech tools and components that would best support that architecture.
Most techies have their favorite tools that they would vouch for, and some others that they disdain. They have their reasons for that, but those are not your reasons. A tool that has worked wonders for someone's project may create friction for you, while another that was a disaster for for someone else's project may just solve your most critical problem. There is no one size fits all answer to choice of tools. So please take all sorts of "Tool X rocks/sucks" advice with a grain of salt.
As I understand it, your company does not have the intrinsic capability or tech acumen to get this done with its own people. That's ok. Your core business is something else. But this is an important supporting business function, so I think it deserves some care and attention.
So my primary advice is: The first tool you need is a capable and experienced consultant. (If you were a bigger company, I'd say employ one full time, but with your current scale, a long-term contract with an independent professional or consulting firm will be more cost-effective). This consultant is supposed to guide you through the entire process of design and implementation of the systems you need. They should be your guide and advocate when you hire contractors to design or build your site/portal/whatever. They should make sure that the end result is aligned with your business goals.
The second thing you need is a solid design process that clearly defines the things you need (portal/website/etc.) for your -guess what again?- business goals. Decide with your consultant from step 1 on how to best get that. Contracting, partnering, and forming an internal team should all be on the table.
Only then you may realistically start to think about how to build these things. When you have your implementers (again, contracted, partnered or internal) and your detailed design documentation describing what you want in detail. those people should be able to make the best call on what sort of tech stack to use, in order to bring that design to life.
All this may sound daunting and arduous but it is not. The practice is established and solid. A simpler project can go through all that within weeks and go live. Even a larger project can launch in a couple of months and keep building on that afterwards.
On a side note, projects like this are living projects. they are never "done". Please account for having time/money/resources for these as long as they stay up. Going live is just the beginning.
So, start by finding your consultant :)
PS. StackShare forces me to "recommend a tool" before I can post this, so I'm "recommending" my favorite videoconferencing tool (which was recently renamed to Whereby but SS seems to have missed that). Feel free to get in touch for a video call if you have more questions :)
Jira 's dashboards are great, but for wider collaboration, reporting to management, and to avoid informational siloes, Confluence is a wonderful place to share Jira Dashboards.
Atlassian Consultant Prodigy, Tom Harris, shares his thoughts on all the options for creating the best Jira reports in Confluence in the blog below.
Interface design tools which should be used in React applications
Why choose NodeJs?
It is simple and incredibly fast for development. Although, in its pure state, it does not have a clear framework and you can do really dirty and unscalable things, but sometimes having a clear technical debt is something that an early stage startup may need. Additionally, the community is very large, you will find support for everything.
If I had to start building a stack from scratch, NodeJs would certainly still be among my favorites.
SignalRI would pick some already existing ICQ sever and build everything around it.
Pingdom provides reliable peace-of-mind monitoring for websites, along with usable load time info for key pages over time.
It confirms that everything's still working, even when I'm not :-)
For a basic website, the free version of Pingdom provides enough checks to have a few URLs watching the live site, with enough additional left over to check on admin systems, dev/test environments etc..
Websites that need more monitoring than what is provided in the free version are easily worth the minimum expense of a paid package, with far more checks, sophistication, and functionality.
Written without prejudice: I'm not connected with Pingdom in any way. I've used them for a decade+ for website monitoring and it's been a good service.
In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.
To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.
Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.
For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.
That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.
We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.
As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.
We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.
We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.
We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.
You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?
DatadogCan't say anything to Sysdig. I clearly prefer Datadog as
- they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
- easy to code (python) agent plugins / api for own metrics
- brillant dashboarding / alarms with many customization options
- pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)
IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.
Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!
InstanaHi Medeti,
you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.
As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/
We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/
Let me know if you need anything on top.
I am trying to build a data lake by pulling data from multiple data sources ( custom-built tools, excel files, CSV files, etc) and use the data lake to generate dashboards.
My question is which is the best tool to do the following:
- Create pipelines to ingest the data from multiple sources into the data lake
- Help me in aggregating and filtering data available in the data lake.
- Create new reports by combining different data elements from the data lake.
I need to use only open-source tools for this activity.
I appreciate your valuable inputs and suggestions. Thanks in Advance.
DremioHi Karunakaran. I obviously have an interest here, as I work for the company, but the problem you are describing is one that Zetaris can solve. Talend is a good ETL product, and Dremio is a good data virtualization product, but the problem you are describing best fits a tool that can combine the five styles of data integration (bulk/batch data movement, data replication/data synchronization, message-oriented movement of data, data virtualization, and stream data integration). I may be wrong, but Zetaris is, to the best of my knowledge, the only product in the world that can do this. Zetaris is not a dashboarding tool - you would need to combine us with Tableau or Qlik or PowerBI (or whatever) - but Zetaris can consolidate data from any source and any location (structured, unstructured, on-prem or in the cloud) in real time to allow clients a consolidated view of whatever they want whenever they want it. Please take a look at www.zetaris.com for more information. I don't want to do a "hard sell", here, so I'll say no more! Warmest regards, Rod Beecham.
I have an experience in game development for 5 years in C# and also having coding background around 7 years , now i want to choose mobile application path but confused about what to choose between android native or Flutter.
I want to build learning paths in a simple way and visualize them the way Neo4j or D3.js can do it. Example: I have a set of learning resources that can be connected depending on certain criteria. Thus, it would be possible for learners to start from various starting points and have learning paths depending on this starting point.
Following this, I need two things: first, a UI that let's me connect entries from a database so that a linear view like a path comes out. And second, a bird's view on the various paths like a force-directed graph that stems from the linear connections I made.
I'm looking for an open-source/free/cheap tool to clean messy data coming from various travel APIs. We use many different APIs and save the info in our DB. However, many duplicates cannot be easily recognized as such.
We would either write an algorithm or use smart technology/tools with ML to help with product management.
While there are many things to be considered, this is one feature that it should have:
"To avoid confusion, we need to merge the suppliers & products accordingly. Products and suppliers must be able to be merged and assigned separately.
Reason: It may happen that one supplier offers different products. E.g., 1 tour operator offers 3 products via 1 API, but only 1 product with 3 (or a different amount of) variations via a different API. Also, the commission may differ for products, which we need to consider. Very often, products that are live (are bookable in real-time) on via 1 API, but are not live on the other. E.g., Supplier product 1 & 2 of API1 are live, product 3 not. For the same supplier, API2 provides live availability for products 1, 2, and 3.
Summing up, when merging the suppliers (tour operators) we need to consider:
- Are the products the same for all APIs?
- Which booking system API gives a better commission? Note: Some APIs charge us 1-5% depending on the monthly sale, which needs to be considered
- Which booking system provides live availability
- Is it the same supplier, or is the name only similar?
Most of the time, the supplier names differ even if they are the same (e.g., API1 often names them XX Pty Ltd, while API2 leaves "Pty Ltd" out). Additionally, the product title, description, etc. differ.
We need to write logic and create an algorithm to find the duplicates & to merge, assign, or (de)activate the respective supplier or product. My previous developer started a module to merge the suppliers, which does not seem to work correctly. Also, it is way too time taking considering the high amount of products that we have.
I would recommend merging, assigning etc. products and suppliers only if our algorithm says it's 90- 100% the matching supplier/product. Otherwise, admins need to be able to check & modify this. E.g. everything with a lower possibility of matching will be matched automatically, but can be undone or modified.
The next time the cron job runs, this needs to be considered to avoid recreating duplicates & creating a mess."
I am not sure in what way OpenRefine can help to achieve this and what ML tool can be connected to learn from the decisions the product management team makes. Maybe you have an idea of how other travel portals deal with messy data, duplicates, etc.?
I'm looking for the cheapest solution for a start-up, but it should do the work properly.














































































