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Kubecost 2024 Predictions: AI Redefines Development, Vendors (Try to) Redefine Open Source, and Kubernetes Calls for New Databases and Cost Controls

vmblog-predictions-2024 

Industry executives and experts share their predictions for 2024.  Read them in this 16th annual VMblog.com series exclusive.

AI Redefines Development, Vendors (Try to) Redefine Open Source, and Kubernetes Calls for New Databases and Cost Controls

By Jesse Goodier is Manager, Quality and Integrations, and Chip Zoller is a Principal Solutions Architect at Kubecost

Here are four developer and Kubernetes trends we expect to play out in 2024:

1) AI will (increasingly) transform the developer landscape.

AI will grow into an all-but-obligatory part of the developer experience, probably even faster than most realize. AI developer tools, APIs, and integrations are advancing incredibly quickly, and what we see in the generative AI space for graphic arts-where a user can simply ask an AI tool for an image and receive quality work without opening or necessarily even knowing Photoshop-is coming to development. The result will lower barriers to entry and accelerate development...with the caveat that developer skill sets might very well recede. Great developer talent is already scarce, and a near future where developers have the massive crutch of building and refining applications via AI tools (without needing to actually learn languages) will only make finding talent more of a challenge. This issue will only grow as new developers begin their careers as AI natives. 

That said, organizations in more high-tech, tightly regulated, and risk-averse industries-like healthcare, government, and finance-will be slower to adopt AI development practices, and will require more robust security measures before getting their feet wet. While AI-enhanced development will yield myriad advantages, success here will hinge more on using AI as a tool within a developer-driven process and not as the Oracle at Delphi where developers simply submit whatever AI spits out.

The intersection of generative AI development and app stacks built on Kubernetes will also accelerate the phenomenon that Kubernetes is disappearing into a transparent implementation detail. AI development will augment Kubernetes abstraction layers, allowing organizations to build on Kubernetes far more easily. As a result, organizations will readily create apps that offer strategic new capabilities; for example, leveraging Kubernetes historical trends and data to accurately project the long-term costs of upcoming initiatives.

2) More vendors will spark pressing questions on what open source really means.

Recent moves by the likes of IBM to change the availability of Red Hat source code and HashiCorp to alter Terraform's licensing are splitting communities, literally, as the Linux Foundation adopts a Terraform fork. These events are bellwethers of struggles to come in 2024, as the industry debates the meaning of open source. Shifting licensing decisions will repaint the open source landscape for quite some time. The general notion of open source remains incredibly popular, with no signs of letting up, but turmoil over open source will disincentivize participation, as some ecosystems fracture and organizations fear that software access may slam closed without much warning. 2024 should offer more clarity on how open source foundations decide to adapt their selection processes and adopt projects looking for a home.

3) Enterprises will adopt new database strategies in pursuit of Kubernetes performance.

Kubernetes is clearly among the best tools for managing ephemeral containers, and will continue to be in 2024. At the same time, database usage on Kubernetes is growing. Look for organizations (Kubecost included) to shift from traditional cloud object storage strategies to more performant options, like open source DuckDB.

For example, take a Kubernetes solution that collects analytics data on every container running across every single cluster in an environment, every hour of every day. Accessing that data in an object storage JSON format isn't necessarily performant. In contrast, DuckDB is designed for data analytics and processes data in memory without requiring a particular server or service, allowing the database container to be more or less ephemeral. As a trend, organizations that can benefit from better database performance will pursue more appropriate options in the coming year.

4) Cloud and Kubernetes cost controls will remain a priority.

More organizations are reaching the stage in their cloud transformations where the goal is no longer to implement Kubernetes, but to operate it more efficiently. Economic pressures incentivizing streamlined budgets, expansions that necessitate operating Kubernetes at a greater scale, and increasingly Kubernetes-centric development strategies will all be essential concerns for enterprises in 2024. Cost visibility and controls that keep Kubernetes overprovisioning in check will earn certain organizations extra slack in their budgets (and, for many, a leg up on competitors) in the coming year.

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ABOUT THE AUTHORS

Jesse Goodier 

Jesse Goodier is Manager, Quality and Integrations, at Kubecost, which provides real-time cost visibility and insight for teams using Kubernetes.

Chip Zoller 

Chip Zoller is a Principal Solutions Architect at Kubecost.

Published Friday, January 05, 2024 7:33 AM by David Marshall
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