The Potential of Serverless in the Social Impact Sector

Serverless solutions are gaining popularity in enterprise and startup environments significantly faster than containers, the last widely adopted industry technology. This is because serverless application reduces production time, implements cost-for-usage models, and promotes team members to be more self-sufficient. Let’s discuss the prospects of serverless in the social impact sector in this blog.

Five Instances NGOs Can Benefit From Serverless Architecture

1. Saving Time And Money

With smaller finances and fewer full-time employees, nonprofits confront many of the same issues as for-profit enterprises. Solutions that allow a nonprofit to focus on its core purpose while investing less money and time in IT infrastructure contribute to advancing key goals. You can leverage AWS Lambda to power computational needs to achieve these objectives.

With the help of Lambda’s computing service, you may run code without setting up or maintaining servers. With AWS Lambda, you only pay when your code is executed, and the cost is based on how long that invocation lasts—down to the millisecond—so you’re never paying for well over infrastructure, allowing your limited IT budget to go further.

2. Donor Satisfaction And Volunteer Management

Data analytics is used by businesses in practically every industry to make strategic decisions about how to manage their products, operations, and customers, as well as how to best employ their resources. However, the advantages of data analytics are not limited to for-profit businesses. Nonprofit organizations can now benefit from the useful insights that data analytics can provide. Data analytics for NGOs is important because it can help review campaign performance, improve donor communications, and increase efficiency. Other benefits of data analytics for NGOs include the following.

Boost community engagement.
Enhance the efficiency of your members’ recruitment and retention initiatives.
Develop more effective fundraising techniques.
Provide comprehensive evaluations of various data sets.
Improve report production and accountability.
Simplify the budget forecasting process.

3. Productivity And Remote Team Management

According to research, 70% of people worldwide work remotely at least once a week. A growing number of businesses are abandoning physical offices entirely. Teams that embrace remote work gain by diversifying their talent pool while delivering an appealing work environment. Remote employment necessitates a distinct set of guiding principles, collaboration tools, automated app dashboards, and accountability structures. Cron, a utility tool that allows users to submit commands for scheduling tasks regularly at a given time, is such a remote work platform.

Users can choose the task type and timing they want to automate using AWS Cron jobs. They may automate system upkeep, disc space monitoring, and backup scheduling with cron jobs. Cron tasks are great for servers and other equipment that run continually.

4. Data-Driven Social Media Marketing

The main source of market research data is social media. What was once measured by adding up likes, shares, retweets, and followers has evolved into brands being able to understand what people are thinking and feeling, what’s working and what isn’t with campaigns, and how to engage with their audience. This is because much of its value comes from what people share and how they express their preferences. This user-generated real-time data can be extremely helpful for market research, brand health assessment, campaign optimisation, and customer happiness evaluation.

5. Data-Informed Policy Making

Data collection is gathering information for use in business decision-making, strategy development, research, and other uses. Applications and research initiatives involving data analytics must include the information required to deliver answers, analyse business performance or other outcomes, and forecast future trends, actions, and scenarios.

Data gathering can take many forms, including surveys, interviews, questionnaires, focus groups, and data from internal or external sources. To acquire client input, businesses follow social media and conduct surveys. Then, using internal systems and external data sources as necessary, data scientists, other analysts, and business users gather pertinent data for analysis.

Bottom Line

Serverless dashboards will lower expenses for applications that experience erratic usage, with peak periods interspersed with periods of little to no traffic. Purchasing a server or a block of continually running servers and always being available, even when unused, can be a waste of resources for such applications. When not in use, a serverless configuration responds promptly and incurs no expenditures, resulting in a more efficient business model for your company.