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2021-09-24 06:44:40
Why Our Agile Journey Led Us to Ditch the Relational Database
contributed,sponsor-mongodb,sponsored,sponsored-post-contributed,
DevOps


WHY OUR AGILE JOURNEY LED US TO DITCH THE RELATIONAL DATABASE

Our decision to veer away from the relational database for an experimental
application ended up having a profound effect on the company.
Sep 24th, 2021 6:44am by Jeff Needham
Photo by Matthis Volquardsen from Pexels.
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Where are you using WebAssembly?
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I don’t use WebAssembly but expect to when the technology matures
I have no plans to use WebAssembly
No plans and I get mad whenever I see the buzzword
I HAVE AN OPINION
We'd love to hear what you think.
MongoDB sponsored this post.




Jeff Needham
Jeff is principal of Industry Solutions for Healthcare at MongoDB and brings
more than 20 years of IT experience in large and small organizations. Prior to
joining, Jeff drove legacy transformation and legacy modernization efforts at
Travelers Insurance as senior director of architecture and architected
healthcare solutions for Aetna/CVS Health.



For almost 170 years, Travelers Insurance has been one of the top writers of
commercial, property and casualty insurance in the United States. While the
insurance industry traditionally has about 20 different use cases, over the past
decade-plus, we’ve been witnessing an evolution of the demands from our data.

As a senior architect, I saw demands to build features that required us to use
data at rest, then data in motion and finally, data in consumption. Around the
same time, our board of directors mandated that Travelers leverage technology in
new ways to redesign the way we manufacture and sell our products in order to
improve our productivity and efficiency as a company.

It stood to reason that software would reduce the bottlenecks, which meant we
needed to become better at building and delivering software consistently. While
we considered ourselves agile zealots and wanted our teams to be as
self-sufficient and independent as possible using microservices, we did not wake
up one day and suddenly change. It took several years of iterating before we
finally replaced the underlying relational database with a document database
that would enable us to capture the value of using microservices and increase
our developer productivity and velocity.

Headquartered in New York, MongoDB is the developer data platform company
empowering innovators to create, transform, and disrupt industries by unleashing
the power of software and data.
Learn More
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14 February 2024

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genAI in Sight

14 February 2024



BECOMING MORE AGILE WITH AN OPERATIONAL DATA STORE

Initially, our goal was to build a single-view application for our brokers, who
at the time were logging into 12 different services required for a single use
case. What continued to hold us back was the relational data model. Let me
explain.

Within modern software development practices, you are expected to build software
from a two- or three-sentence business feature. The name of the game is to not
go too deep and to constantly iterate. This is far different from the
traditional waterfall method, where you would spend six months figuring out the
requirements analysis before you wrote a single line of code. With a waterfall
approach, this is fine because you will know the end state in order to create
your database objects. However, you simply can’t do this if you’re following
agile methods because there is no way to build a data model from a
three-sentence business requirement, and you’re constantly having to rework your
database.

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We stood up the single-view app in 2014. At this time it was still ETL-dependent
and had a monolithic code base as well as consistent integration challenges. But
we were now deploying software five times annually — major for us — and had
built buzz internally from people seeing the business impact from using our app.
We realized that for our engineering teams to be able to deliver the software
necessary for the business goals, we ultimately needed to move away from the
relational database.


RDBMS GROWTH AT TRAVELERS

YEAR Tables in production 2013 40 2015 70 2017 100


GOODBYE TABLES, HELLO JSON!

We made the decision to use MongoDB’s document database to fully commit to our
internal transformation. However, to be successful after this massive change, we
knew we had to do more than just learn how to program against a different
database. This was a massive change we were introducing to a company that had
never used anything other than a relational database. As much of a technology
change it was, to succeed, Travelers needed to also undergo a culture change.

While our developers are building the software, there are many other groups of
people we took the time to build relationships with and bring them along on our
journey. We did this to make sure we could use their expertise and to quiet the
noise. We taught every team how to data model in JSON, as opposed to the rigid
tables and rows of a relational database. This was an eye-opening experience for
many people, who now understood how this affected the speed at which our teams
could deliver software into production.

Quickly, backlogs for business product owners began declining as our dev teams
were able to deliver features into production faster. This validated our
technology choice and began a flywheel of momentum. As the word got out
internally of what our business unit was doing, we began to see a massive uptick
of interest from other teams who were curious about our results.

Headquartered in New York, MongoDB is the developer data platform company
empowering innovators to create, transform, and disrupt industries by unleashing
the power of software and data.
Learn More
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genAI in Sight

14 February 2024



OK, NOW COME THE MICROSERVICES

Despite our developers having zero prior experience with MongoDB prior to our
first release, they still were able to ship to production in eight weeks while
eliminating more than 600 lines of code, coming in under time and budget. Pretty
good, right?

Additionally, the feedback provided was that the document data model helped
eliminate the tedious work of data mapping and modeling they were used to from a
relational database. This amounted to more time that our developers could
allocate on high-priority projects.

When we first began using MongoDB in summer 2017, we had two collections into
production. A year later, that had grown into 120 collections deployed into
production, writing 10 million documents daily. Now, each team was able to own
its own dependency, have its own dedicated microservice and database leading to
a single pipeline for application and database changes. These changes, along
with the hours saved not spent refactoring our data model, allowed us to cut our
deployment time to minutes, down from hours or even days.


SETTING THE PACE FOR FUTURE INNOVATION

At the end of the day, if you’re doing it right in relational, you have a lot of
tables, and if you’re modeling your data properly, you will have a lot of
objects even for the simplest use cases. Once we determined that our database
was slowing us down, we knew it was time for a change.

Our initial decision to veer away from the relational database for an
experimental application ended up having a profound effect on the company, with
MongoDB becoming the de-facto standard for software development. We found that
we could really embrace a lean product mindset and set our development teams up
for success to achieve our original goal of significantly reducing time from
business ask to production delivery.

Interested in data modeling in JSON, but don’t know where to start? Check out
our white paper or attend our weekly webinar series.

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Group Created with Sketch.
Jeff is principal of Industry Solutions for Healthcare at MongoDB and brings
more than 20 years of IT experience in large and small organizations. Prior to
joining, Jeff drove legacy transformation and legacy modernization efforts at
Travelers Insurance as senior...
Read more from Jeff Needham
MongoDB sponsored this post.
SHARE THIS STORY

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TNS owner Insight Partners is an investor in: Pragma.
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TRENDING STORIES
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 3. How to Set up and Run a Local LLM with Ollama and Llama 2
 4. The Rise of Small Language Models
 5. Astro Creator: New Web Metric Will Hurt JS Framework Sites

Insights From Our Sponsor


Headquartered in New York, MongoDB is the developer data platform company
empowering innovators to create, transform, and disrupt industries by unleashing
the power of software and data.

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15 February 2024
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genAI in Sight

14 February 2024
Building AI with MongoDB: Navigating the Path From Predictive to Generative AI

13 February 2024
Atlas Stream Processing is Now in Public Preview

13 February 2024
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13 February 2024
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