3 Ways Cluster Sprawl is Hurting Your Business
September 02, 2020

Jie Yu
D2iQ

When developer teams first started to use and adapt Kubernetes to their operational environments, applications were more simple and limited. Developers knew physically where application resources were being deployed and how they were performing because everything was housed in a monolithic, on-site system.

As companies look to further harness the power of cloud native, however, they are adopting open source technologies at rapid speed, increasing the number of clusters and workloads. This added volume makes it difficult to know where clusters exist and how they are performing. Architecting applications is no longer a simple task and requires DevOps teams to have a deep understanding of the required governance.

The lack of maturity in the Kubernetes space means many organizations are not aware of the governance requirements or how to manage cluster sprawl. As more and more instances are deployed to multiple clouds, it can be tough to monitor sprawling and disparate Kubernetes clusters, and for DevOps teams to keep pace with the rapid adoption.

Understanding how to manage cluster sprawl and the challenges this is creating for your organization is critical to keep in mind when scaling a cloud native infrastructure. Here are the 3 ways that cluster sprawl is detrimental to your business:

1. Lack of centralized control and visibility

When adopting Kubernetes, many organizations will face regulatory, intellectual property, or security concerns based on where services and other critical resources are running. A lack of centralized governance and visibility over how and where resources are provisioned can lead to organizational risk, as clusters may have inconsistent software builds or versions, making them difficult to support.

Today's developers are introducing a multitude of new stacks while enterprises find themselves with 10-15 different methods for provisioning Kubernetes clusters. Most commonly, the teams that are in charge of governance aren't even aware of these new clusters, which can lead to inconsistent security controls, as well as compliance, regulatory, and IP challenges along the way.

2. Duplication of effort and work

The modern-day cloud isn't confined to the singular stack. Enterprises are deploying even more clusters across multiple clouds, making it exponentially more difficult to manage. With each newly added cluster comes new overhead to manage a different set of policies, roles, and configurations.

As the number of Kubernetes deployments and clusters grow, this is creating duplicate work for DevOps teams. When it comes to patching security issues or upgrading versions, teams are doing five times the amount of work, deploying services and applications repeatedly within and across clusters.

In addition, all configuration and policy management, such as roles and secrets, are repeated, wasting time and creating the opportunity for mistakes. Without an easy way to centrally manage multiple clusters and workloads, organizations create more work for their DevOps teams.

3. No clear division of labor

When time-to-market is a business imperative, developers need to kick into high-gear to rapidly deploy code at scale. Kubernetes is popular among developers because it enables them to spin up their own environments with ease and agility. However, they tend to lose that flexibility when their platforms are brought into IT operations, where consistent administering, standardized user interfaces, as well as managing and obtaining insights about their infrastructure is required.

The challenge then becomes finding the right balance between that flexibility and enforcing governance. When organizations are unable to find the right balance between developer flexibility and enforcing IT control, they can expect challenges that last for some time, and leave residual effects on their stacks.

Every few months, new open source projects, databases and developer tools are advancing and empowering innovation like never before. While Kubernetes clusters are bringing key benefits to businesses, they are also introducing complexities that need to be properly managed. As complexity within cloud native environments and container strategies increases, so does the need for continuous oversight, organization, and streamlined management. Organizations must ensure their DevOps teams are ready to adapt and excel in the new Kubernetes landscape.

Jie Yu is Chief Architect at D2iQ
Share this

Industry News

September 05, 2024

Red Hat announced the general availability of Red Hat Enterprise Linux (RHEL) AI across the hybrid cloud.

September 05, 2024

Jitterbit announced its unified AI-infused, low-code Harmony platform.

September 05, 2024

Akuity announced the launch of KubeVision, a feature within the Akuity Platform.

September 05, 2024

Couchbase announced Capella Free Tier, a free developer environment designed to empower developers to evaluate and explore products and test new features without time constraints.

September 04, 2024

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced the general availability of AWS Parallel Computing Service, a new managed service that helps customers easily set up and manage high performance computing (HPC) clusters so they can run scientific and engineering workloads at virtually any scale on AWS.

September 04, 2024

Dell Technologies and Red Hat are bringing Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform built on an AI-optimized operating system that enables users to more seamlessly develop, test and deploy artificial intelligence (AI) and generative AI (gen AI) models, to Dell PowerEdge servers.

September 04, 2024

Couchbase announced that Couchbase Mobile is generally available with vector search, which makes it possible for customers to offer similarity and hybrid search in their applications on mobile and at the edge.

September 04, 2024

Seekr announced the launch of SeekrFlow as a complete end-to-end AI platform for training, validating, deploying, and scaling trusted enterprise AI applications through an intuitive and simple to use web user interface (UI).

September 03, 2024

Check Point® Software Technologies Ltd. unveiled its innovative Portal designed for both managed security service providers (MSSPs) and distributors.

September 03, 2024

Couchbase officially launched Capella™ Columnar on AWS, which helps organizations streamline the development of adaptive applications by enabling real-time data analysis alongside operational workloads within a single database platform.

September 03, 2024

Mend.io unveiled the Mend AppSec Platform, a solution designed to help businesses transform application security programs into proactive programs that reduce application risk.

September 03, 2024

Elastic announced that it is adding the GNU Affero General Public License v3 (AGPL) as an option for users to license the free part of the Elasticsearch and Kibana source code that is available under Server Side Public License 1.0 (SSPL 1.0) and Elastic License 2.0 (ELv2).

August 29, 2024

Progress announced the latest release of Progress® Semaphore™, its metadata management and semantic AI platform.

August 29, 2024

Elastic, the Search AI Company, announced the Elasticsearch Open Inference API now integrates with Anthropic, providing developers with seamless access to Anthropic’s Claude, including Claude 3.5 Sonnet, Claude 3 Haiku and Claude 3 Opus, directly from their Anthropic account.