/
세분화

데브옵스가 마이크로 세분화를 좋아하는 5가지 이유

When infrastructure and security teams want to introduce micro-segmentation, the application community isn’t so much opposed to tighter security as they are sensitive to the speed and safety of the proposed changes. The safety concerns are satisfied through adequate testing. But for many organizations, there’s a time expectation attached to adjusting firewall or segmentation policy that’s measured in days or weeks. For a DevOps team, this kind of timeline is almost incomprehensible. Server builds happen in seconds. Whole pods deploy in minutes. Bulk API operations beat typing complex data by hand every day of the week.

The good news is that micro-segmentation has five significant benefits for DevOps teams.

1. Micro-segmentation runs off shared metadata

Traditional firewall rules use IP addresses but DevOps automation runs off of metadata and abstractions. Micro-segmentation abstracts segmentation policy into labels or tags. These labels are not created in the micro-segmentation policy engine, but instead derive from standard enterprise sources of truth: CMDB, hostname conventions, IP management systems, and other programmatic sources.

When segmentation runs off the same metadata sources as the application automation, it is easy to build segmentation into automated workflows.

2. Micro-segmentation delivers dynamic policy automation

Once the segmentation policy is extracted into shared metadata, a micro-segmentation policy engine does all the heavy lifting of calculating, distributing, and converging the resulting rules. This effectively turns micro-segmentation into an automatable application feature that can be called just like any other application service.

Better yet, a quality micro-segmentation policy engine will track any changes to the underlying IP addresses or labels and automatically keep the desired policy in place. In this way, micro-segmentation becomes declarative and no longer tied to an imperative need to specify individual rules. The automation specifies the policy desire, and the policy engine creates the needed rules and keeps them constantly and continuously up to date.

3. Micro-segmentation inserts easily into existing run-books

Leading micro-segmentation vendors can point to fully automated deployments in the 40-120k range. Inside these fully automated data centers, it is common for the entire infrastructure to re-instantiate every few weeks, often in a matter of minutes. Micro-segmentation can be sequenced into application and pod automation so that all network connectivity required is available when needed.

During even large scale data center reconfigurations, the micro-segmentation policy engine keeps every workload and every container aligned with the specified policy. When segmentation instantiates quickly and policy distribution occurs in real time, DevOps run-books flow smoothly and seamlessly, even while tight micro-segmentation policies protect each application service.
 

4. Micro-segmentation is location independent

Good automation code offers sufficient abstraction so complex tasks can be accelerated. Whether the application runs in the cloud or in the data center is largely unimportant if the automation is sufficiently abstracted.

Because micro-segmentation abstracts IP addressing away, the location no longer matters for segmentation either. Half of the application can be in the cloud. It can move from one VPC to another. The physical location or addressing cease to matter. In this way, micro-segmentation delivers the same location and infrastructure independence that DevOps teams desire.
 

5. Micro-segmentation is application architecture independent

Some applications run on bare-metal servers, some run on virtual machines, and some run in containers. Some applications will migrate from one to the other soon. Micro-segmentation works the same regardless of application architecture or deployment methodology.

A quality micro-segmentation solution supports containers and Kubernetes just as effectively as it supports a physical database server. The same policy will work even if half of the app is containerized and the other half remains on bare-metal. As with location, once the policy is sufficiently abstracted and the enforcement points remain available, micro-segmentation works across legacy, current, and next-generation application architectures.

For members of your DevOps team, micro-segmentation is the security strategy they have been waiting for. Micro-segmentation works at speed. It works at scale, and definitely at speed and scale! Micro-segmentation uses the same metadata and abstractions that are already in use for application automation.

Combined with a powerful policy engine, this creates a dynamic policy automation layer that makes segmentation a standard “service” to be automated into the application. Micro-segmentation can be baked into run-books to ensure that segmentation is available from instantiation through removal.

Because micro-segmentation decouples segmentation from infrastructure concepts like IP addresses, it offers the location independence and application architecture independence required for broad applicability. When security needs to move as fast as the DevOps team, micro-segmentation provides the necessary capabilities.

To learn more, download Bishop Fox's research report: Efficacy of Micro-Segmentation: Assessment Report.

관련 주제

항목을 찾을 수 없습니다.

관련 문서

클라우드 환경을 위한 제로 트러스트 세분화의 3가지 이점
세분화

클라우드 환경을 위한 제로 트러스트 세분화의 3가지 이점

지금 마이크로세그멘테이션을 클라우드 환경으로 확장해야 하는 이유와 일루미오 클라우드시큐어가 조직에 어떤 도움을 줄 수 있는지 알아보세요.

2025년 7월의 주요 사이버 보안 뉴스 기사
세분화

2025년 7월의 주요 사이버 보안 뉴스 기사

보안 그래프가 사이버 방어의 미래인 이유, 솔트 타이푼 침해가 국가 안보에 미치는 영향, 그리고 일루미오가 CRN 어워드 최종 후보로서 혁신을 주도하는 방법을 알아보세요.

RSAC 컨퍼런스 2025의 일루미오 완벽 가이드
세분화

RSAC 컨퍼런스 2025의 일루미오 완벽 가이드

4월 28일부터 5월 1일까지 샌프란시스코에서 열리는 RSAC 2025 부스 N-5670에서 체험 데모, 전문가 인사이트, AI 보안 그래프 기반 Illumio Insights의 첫 선을 보이는 일루미오와 함께하세요.

항목을 찾을 수 없습니다.

위반 가정.
영향 최소화.
복원력 향상.

제로 트러스트 세분화에 대해 자세히 알아볼 준비가 되셨나요?