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Infrastructure as Code puts DevOps in high gear

Building more secure computing environments today is not as aspiration. Rather, regulators such as the Securities and Exchange Commission, Federal Communications Commission and Federal Trade Commission are passing new rules that require far stronger security controls than in the past and holding corporate boards responsible.

Building more secure computing environments today is not as aspiration. Rather, regulators such as the Securities and Exchange Commission, Federal Communications Commission and Federal Trade Commission are passing new rules that require far stronger security controls than in the past and holding corporate boards responsible. Additionally, cyber insurance providers also are demanding stronger security controls to reduce risk, particularly against high-cost attacks such as ransomware.

As a result, DevOps is playing a far greater role to ensure cloud-based and on-premises data centers, large and small, meet these more exacting regulatory requirements.

One effective DevOps approach to securing data centers is employing infrastructure as code (IaC), an automation strategy that improves data center protections by reducing risks and deployment costs while increasing efficiency and effectiveness/accountability. IAC effectively manages and provisions cloud infrastructure using code rather than manual processes.

Benefits includes consistent and standardized configurations, faster deployment, and eliminating operational bottlenecks while improving accountability. It also significantly reduces risk and improves data and cybersecurity. Additional benefits to IaC include self-documentation of the code, a process similar to other coding environments that make it easier to add new users to the team, as well as cost optimization.

In addition to the business value, IaC also improves the software development by allowing you to version code. This means you can deploy a change, roll it back if changes are required, and deploy it again. It also allows you to do A/B testing of code to determine which approach gives you the best result.

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