DevOps for Low-Code - Friend or Foe?
May 23, 2022

James Bent
Virtuoso

Can DevOps and low code work hand in hand?

Philosophically, the two are at odds; DevOps inherently insinuates that code will be involved, while low code/no code insinuates the opposite.

So, how can LC/NC and DevOps work together in harmony if they are intrinsically opposed to one another?

Can they really be friends, or are they resigned to being foes?

Low Code's Coming of Age

COVID-19 has been an enormous driver for low-code development. COVID forced companies more than ever to accelerate digital transformation. LC/NC was alive before COVID but has come to the forefront in the last few years, especially amidst the Great Resignation, which has significantly increased the cost of development resources.

To add insult to injury, companies are amid significant digitalization caused by sudden remote workforces, forcing them to deliver more software faster for their internal and external resources to remain productive.

As a result, companies have turned to non-developers to assemble workflows and business apps without coding — I can already hear the developers screaming.

DevOps' Beef with Low Code

Low code got off on the wrong foot in the first place by name alone. Many developers see low-code as a misnomer or a marketing ploy. For example, they say low-code uses programmatic languages, like NLP, or they rely on code behind the UI, so they have code. Many developers see low code as marketing buzzwords to create interest and hype — but that doesn't deliver on its promise.

The alternative to this line of thinking is that low code is an existential threat to developers. Marketers and companies lean in on marketing a code-devoid utopia where the nontechnical thrive and developers are a thing of the past.

So why should DevOps even consider low code an option if it's a threat to their livelihoods?

DevOps & Low Code Sitting in a Tree? Maybe

Here's the reality: there aren't enough developers. According to Forbes, as of December 2020, the global talent shortage amounted to 40 million skilled workers worldwide. By 2030, the global talent shortage is expected to reach 85.2 million. As a result, every company has a backlog they're sitting on composed of new features, enhancements, and technical debt that is costing them revenue because of the lack of skilled talent.

So, what if you could make low code and no code work for you?

That's the promise that LC/NC brings to the table. The reality is that code varies in complexity from simple to really complex, brain-engaging code. I bet developers would prefer to steer clear of simple code and stay focused on complex code.

Instead of writing off LC/NC, companies can push simple code needs to LC/NC environments while maintaining complex stuff.

For example, writing integrations, workflows to stitch it together, and peripheral apps extending further with the existing environment and architecture?

Developing code for complex, really configured stuff that is so unique that low code/no code can't go there?

Keep it with your development team. Low-code definitely needs developers. Just not for everything. Indeed not the simple things.
Low-code still needs devs. Devs can benefit from low-code. Everyone can be friends and not force the other out of existence. And how do friendships happen?

By embracing each other and then working out how to work together. By meeting in the middle for a common cause: to combine cultural philosophies, practices, and tools that increase an organization's ability to deliver applications and services at high velocity.

James Bent is VP of Solutions Engineering at Virtuoso
Share this

Industry News

May 09, 2024

Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.

May 09, 2024

Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.

May 09, 2024

StackHawk announced a new integration with Microsoft Defender for Cloud to help organizations build software more securely.

May 08, 2024

MacStadium announced that it has obtained Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) Level 1, meaning that MacStadium has publicly documented its compliance with CSA’s Cloud Controls Matrix (CCM), and that it joined the Cloud Security Alliance (CSA), the world’s leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment.

May 08, 2024

The Cloud Native Computing Foundation® (CNCF®) released the two-day schedule for CloudNativeSecurityCon North America 2024 happening in Seattle, Washington from June 26-27, 2024.

May 08, 2024

Sumo Logic announced new AI and security analytics capabilities that allow security and development teams to align around a single source of truth and collect and act on data insights more quickly.

May 08, 2024

Red Hat is announcing an optional additional 12-month EUS term for OpenShift 4.14 and subsequent even-numbered Red Hat OpenShift releases in the 4.x series.

May 08, 2024

HAProxy Technologies announced the launch of HAProxy Enterprise 2.9.

May 08, 2024

ArmorCode announced the general availability of AI Correlation in the ArmorCode ASPM Platform.

May 08, 2024

Octopus Deploy launched new features to help simplify Kubernetes CD at scale for enterprises.

May 08, 2024

Cequence announced multiple ML-powered advancements to its Unified API Protection (UAP) platform.

May 07, 2024

Oracle announced plans for Oracle Code Assist, an AI code companion, to help developers boost velocity and enhance code consistency.

May 07, 2024

New Relic launched Secure Developer Alliance.

May 07, 2024

Dynatrace is enhancing its platform with new Kubernetes Security Posture Management (KSPM) capabilities for observability-driven security, configuration, and compliance monitoring.

May 07, 2024

Red Hat announced advances in Red Hat OpenShift AI, an open hybrid artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across hybrid clouds.