Learn How Fieldfusion built a SaaS application on Netlify

Fieldfusion is a SaaS startup in England that provides field service management software for tasks like scheduling customer visits and deliveries, vehicle tracking and route optimization. Its customers are primarily SMB companies in England with 20-100 employees, including telecoms providers rolling out 5G towers, fire and safety workers, property managers, and even a company that leases aquariums to biology departments and museums.

The founder, Graham Sawell, launched the service in 2019 in response to a gap he saw in the field service industry dominated by big players like SAP and Oracle, which were too pricey and heavy for a savvy SMB market. He set out to build a SaaS platform with modular capabilities that was highly accessible and performant for workers in the field, while meeting the price point and usability requirements for smaller companies.

The simplicity of developer workflows

Graham came across Netlify while building a Vue.js frontend for the main Fieldfusion app. “After time spent banging our heads against a wall trying to find a consistent and repeatable deployment method, which didn’t require learning a sub-technology or platform stack, Netlify ‘just worked’ out of the box. It helped us solve common issues with CDN and caching.”

While there are many options for developers when it comes to deployment, what differentiates Netlify are the workflows purpose-built with developer experience in mind. Key extensions to the CI, such as deploy previews and split testing sealed the deal.

The Fieldfusion team now builds and deploys both the web and mobile applications using Netlify. “We also build all bespoke work for clients on Netlify, and we’ve lost count of the number of times clients have been wowed that an entire production deployment of their application or website is online, highly available and with zero overhead cost.”

Faster development, better performance

With Netlify, Fieldfusion has significantly reduced the time it takes to ramp new developers, so they can start adding value. “Telling a developer, ‘once the PR is approved, it will automatically be deployed to a branch preview, our Slack bot will give you the URL, and then you’re good to go’ is music to their ears.”

Loading times and uptime are another key factor that helped them select Netlify. Because their users are in the field and reliant on cell reception, site performance and caching on Netlify’s Edge network is critical.

Using modern Jamstack technologies (in this case, Vue.js, Hasura, Netlify) to enable repeatable workflows also makes the company lean enough to pivot or spin up a new project almost immediately. A prime example is a Coronavirus Tracker the company built with its field service workers in mind.

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Hire Dedicated SaaS Developer

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E-learning Software Services - SISGAIN

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Applications of machine learning in different industry domains

Machine learning applications are a staple of modern business in this digital age as they allow them to perform tasks on a scale and scope previously impossible to accomplish.Businesses from different domains realize the importance of incorporating machine learning in business processes.Today this trending technology transforming almost every single industry ,business from different industry domains hire dedicated machine learning developers for skyrocket the business growth.Following are the applications of machine learning in different industry domains.

Transportation industry

Machine learning is one of the technologies that have already begun their promising marks in the transportation industry.Autonomous Vehicles,Smartphone Apps,Traffic Management Solutions,Law Enforcement,Passenger Transportation etc are the applications of AI and ML in the transportation industry.Following challenges in the transportation industry can be solved by machine learning and Artificial Intelligence.

• ML and AI can offer high security in the transportation industry.
• It offers high reliability of their services or vehicles.
• The adoption of this technology in the transportation industry can increase the efficiency of the service.
• In the transportation industry ML helps scientists and engineers come up with far more environmentally sustainable methods for powering and operating vehicles and machinery for travel and transport.

Healthcare industry

Technology-enabled smart healthcare is the latest trend in the healthcare industry. Different areas of healthcare, such as patient care, medical records, billing, alternative models of staffing, IP capitalization, smart healthcare, and administrative and supply cost reduction. Hire dedicated machine learning developers for any of the following applications.

• Identifying Diseases and Diagnosis
• Drug Discovery and Manufacturing
• Medical Imaging Diagnosis
• Personalized Medicine
• Machine Learning-based Behavioral Modification
• Smart Health Records
• Clinical Trial and Research
• Better Radiotherapy
• Crowdsourced Data Collection
• Outbreak Prediction

**
Finance industry**

In financial industries organizations like banks, fintech, regulators and insurance are Adopting machine learning to improve their facilities.Following are the use cases of machine learning in finance.

• Fraud prevention
• Risk management
• Investment predictions
• Customer service
• Digital assistants
• Marketing
• Network security
• Loan underwriting
• Algorithmic trading
• Process automation
• Document interpretation
• Content creation
• Trade settlements
• Money-laundering prevention
• Custom machine learning solutions

Education industry

Education industry is one of the industries which is investing in machine learning as it offers more efficient and easierlearning.AdaptiveLearning,IncreasingEfficiency,Learning Analytics,Predictive Analytics,Personalized Learning,Evaluating Assessments etc are the applications of machine learning in the education industry.

Outsource your machine learning solution to India,India is the best outsourcing destination offering best in class high performing tasks at an affordable price.Business** hire dedicated machine learning developers in India for making your machine learning app idea into reality.
**
Future of machine learning
Continuous technological advances are bound to hit the field of machine learning, which will shape the future of machine learning as an intensively evolving language.

• Improved Unsupervised Algorithms
• Increased Adoption of Quantum Computing
• Enhanced Personalization
• Improved Cognitive Services
• Rise of Robots

**Conclusion
**
Today most of the business from different industries are hire machine learning developers in India and achieve their business goals. This technology may have multiple applications, and, interestingly, it hasn’t even started yet but having taken such a massive leap, it also opens up so many possibilities in the existing business models in such a short period of time. There is no question that the increase of machine learning also brings the demand for mobile apps, so most companies and agencies employ Android developers and hire iOS developers to incorporate machine learning features into them.

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Scikit-Learn Is Still Rocking, Been Introduced To French President

Amilestone for open source projects — French President Emmanuel Macron has recently been introduced to Scikit-learn. In fact, in a recent tweet, Scikit-learn creator and Inria tenured research director, Gael Varoquaux announced the presentation of Scikit-Learn, with applications of machine learning in digital health, to the president of France.

He stated the advancement of this free software machine learning library — “started from the grassroots, built by a community, we are powering digital revolutions, adding transparency and independence.”

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The Main Thing That Has To Be Taken Seriously With Saas Apps Is Security

As Cloud software is getting popular, the danger of them getting attacked is increasing too. Companies who were previously using traditional on-premise software solutions are shifting to SaaS.

This makes it important for companies that develop SaaS products for enterprises to focus on security.

SaaS apps need to be safe because they contain a lot of sensitive and confidential data and if it is leaked it can create big problems.

This is not just a problem for the client enterprise but also for the SaaS development company as their image will be tarnished.

In this article, there are all the main things that developers can focus on to develop secure SaaS apps.

This is not an option but a necessity for all the development companies. There are so many hackers and even if companies use different methods to block un-authorized activities, they find some way.

SaaS is one of the best choices for enterprise software development needs to be the safest.Now, as the technology is developing, the methods of securing the apps are improving as well.

Earlier there were basic methods like securing the firewall and all but now the measures have increased as well.

What Are The Threats To The SaaS Apps

Before fixing all the security issues, Saas developers need to know what are the threats that they have to deal with. Having clarity of the things that need to be done makes the work easy.

More than half of the work is done when developers or testers are able to find out all the potential threats to the SaaS apps.

Below are some threats that are faced by most of the cloud-based applications and it is important to find and fix them.

• Breach To Capture Data
• Change In Controls And Configurations
• Weak Architecture In Cloud Application Development
• Loopholes in authorization policies
• Insider Threats
• Hijacking Accounts
• Weak Control Panel
• Limited Visibility Of Cloud And Its Usage
• Cloud Services Abuse And Misuse
• Insecure API’s And Interfaces

All the aspects mentioned above are there in the top tier of the threat list. These are common and dangerous.

There can be many other threats that developers need to find by doing proper research. Risks and threats differentiate with the nature of the application.

The category of the application also changes how the application can be vulnerable.

What Are The Best Practices That Can Protect Your SaaS Application

There are some practices that development companies can apply to increase the security of the developed applications.

After knowing the risks the team of SaaS developers can figure out the activities that they need to do to tackle them.

The applications that are hosted on the cloud are vulnerable to a lot of threats and those threats need to be tackled with care and precision.

Below are the practices that they can follow to ensure that the apps are safe and the enterprises or the owners stay satisfied:

1. Keep A Checklist To Review Security
2. Educate And Train The Employees
3. Educate The Customers About The Risks
4. Created Policies For Storing And Deleting Data
5. Protecting The Data That Is Sensitive

1.Keep A Checklist To Review Security

Make a checklist that ensures that all departments and parts of the apps are safe. There are many vertices in an organization that might be using this application and it is important to keep all of them in check.

All of this ensures that everything that is done is done according to the security measures.

There should be a record that says who is authorized and at what level. Any changes to these should also be recorded to find inconsistencies in the network if some problem occurs.

The list of the review can change according to the organizations, the application in use, and other factors.

2.Educate And Train The Employees

Provide training to the employees so they know the basics and some important concepts of security. This is important so they can know what are the problems and how to handle them.

It is not only the job of a SaaS development employee or security personnel to make sure if everything in the network is fine.

The security of the applications also depends on the people who use it. Teach the employees how they need to use the app, what they should share, how much they can get inside.

All this will keep them aware of how their data and authority can be misused if they reveal it to anyone. There should be workshops to let them know about the risks that are there.

3.Educate The Customers About The Risks

The customers who will use the application should also be told about all the risks. They must be told about how they should access their accounts, what they should believe, what they should report.

These might look small but these things have a great impact on people. There are companies who have started special workshops just so their customers are aware of security threats and they can keep themselves safe.

This should be done by all the companies that are using mobile application development services.

4.Created Policies For Storing And Deleting Data

There should be properly made policies that state how the data will be stored on the application and in what situations it will be deleted.

This is something that should be done for both, companies and customers. This keeps clarity between the customers and the organization and also keeps the data managed in the servers.

5.Protecting The Data That Is Sensitive

Companies have data that is confidential and sensitive on their applications and if that gets leaked or damaged they might have to face great losses.

They need to protect the data from the attacks that hackers do. There are various methods to do that.

SaaS development needs to be secure so that the data stays safe from all possible threats.

Conclusion

Custom software development is not as easy and as smooth as people think. There are many issues related to security and the architecture that have to be managed.

The world is full of risks and they increase more when an organization is on the internet.

Cloud computing is one of the fastest-growing technologies and SaaS software is taking place of traditional software in many sectors. This can be only maintained when the apps are secure and reliable.

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