App methodology has evolved significantly in line with advancing technology. Here are the top twelve factors for application development methodology from the perspective of a custom app solutions provider.

1. ESSENTIAL
FACTORS FOR
APPLICATION
METHODOLOGY
12

2. DEPENDENCY
ISOLATION
BACKING
SERVICES
CODEBASE FOR
UNIFORMITY
We ensure uniformity to perform deploy-
ments across different environments using
the codebase. Configuration files can make
the differences between various apps.
01
It enables us to make changes in the
customized applications without affecting
the rest of the development environment.
02
Application deployment can be simplified
by filing the codebase and saving
configuration differences in the same
development environment.
03
It enables us to make changes in the
customized applications without affecting
the rest of the development environment.
04
CONFIGURATION
DIFFERENCES

3. STATELESS PROCESSES
CONCURRENCY
SCALING
05
These processes are aimed at preventing
applications from limiting to a single
device. We run applications as stateless
processes.
06
Every application needs to have a different
port to contain itself properly. Port binding
is useful to achieve this objective.
07
At this stage, all the related processes can
scale out as per the Unix processing
model. It makes the development process
more scalable.
08
PORT BINDING
BUILD, RELEASE, RUN
These three crucial stages of creation should
be defined clearly in the work plan. We can
move on to the test stage after accomplishing
these stages.
05

4. DEVELOPMENT/
PRODUCTION PARITY
ADMIN PROCESSES
05
It denotes a balancing of the processes
of preproduction, production, and
development using continuous
deployments.
10
It is necessary to conceive and keep the
logs as events handles in a centralized way
while avoid keeping them in local files.
11
Set alarms and notifications with periodic
tasks and processes to ensure timely
completion of development processes.
12
LOGS AS EVENTS
DISPOSABILITY FOR
MINIMIZING DOWNTIME
The robustness of the system in line with
its capacity to start and stop while
minimizing downtime between tests is
known as disposability.
09

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