Social distancing has created unprecedented demand for online government systems.
The government ordered business shutdown led to compensation promises through the small business administration (SBA).
But their antiquated systems could not handle the demand spike.
This left many frustrated: banks, business owners, individuals and even congress.
Not to mention the overworked folks at the SBA and other government agencies.
The programs are meant to help closed businesses and individuals survive. They don’t help when they go down.
Let’s salvage something from this experience so you wont suffer the same fait as the SBA.
So how do you fix a website crash?
The first step is knowing how a website can crash and what makes a website crash.
I am going to answer these questions and more examining the government platform failures.
Beyond why these platforms are struggling I will show how the cloud can solve many of these problems.
I will also share how progressive web applications can help reduce server demand. This can reduce the amount of server resources and costs to run applications.
In the case of the government problems, how do you prevent a website crash from increased traffic?
Part of the blame is due to what I call software entropy, or the natural decay of software overtime. Without regular attention or energy, systems become inoperable.
This was the main point I made in my recent article on why jQuery is obsolete and the discussion on DotNetRocks about the same topic.
Anytime we watch systems fail like these have there are lessons to learn. You can apply these lessons to your business as well as the government.
Why The SBA and Many State Unemployment Servers Crashed
The problem, most government platforms still rely on 70’s and 80’s technology. Even the more ‘modern’ government systems use technology from the early to mid-2000’s.
And while 10-15 year old platforms may not sound old, they are.
This has lead to many states and federal government platforms to crumble from demand.
#sba e-tran #pwas #website crash #python
