With advancements in cloud infrastructure and virtualization, one wonders if it’s still worth sticking to the traditional method of having organizational operations on physical systems located in the offices. However, there are advantages and disadvantages to both forms of computing, making it crucial to understand the nuances to make informed decisions.
In this guide, we’ll take a look at on-premise vs cloud infrastructure, and learn what each has to offer.
It’s important to understand each method as a refresher, so let’s learn about what they offer and the pros and cons of each.
In an on-premise setup, an organization owns and manages its hardware and software infrastructure within its physical data center. This approach involves purchasing servers, storage devices, and networking equipment, as well as deploying and maintaining the necessary software applications.
While on-premise solutions offer several advantages, they also come with certain drawbacks:
Cloud computing uses multitudes of interconnected systems to deliver computing services on demand. Instead of operating on physical infrastructure, organizations utilize resources provided by cloud service providers such as AWS or Azure. This model offers flexibility, scalability, and cost-effectiveness, but requires a lot “more” than just hardware.
Now, let’s get into the key differences between on-premise and cloud infrastructure.
To make it easier to compare, we’ve made a table highlighting all the important distinctions between on-premise vs cloud.
It’s easy to see that for organizations that need the flexibility of having data distributed across networks with failsafe built in, cloud infrastructure is an easy choice. But on-premise infrastructure still offers the advantages of having physical, tangible devices that are much harder to illegally access.
If you’re considering migrating to the cloud, there are additional details you need to know, which we’ve shared below.
Cloud computing offers a variety of service models to cater to diverse organizational needs. Here’s a breakdown of the primary models:
IaaS provides virtualized computing resources, such as servers, storage, and networking, on demand. Users can rent these resources from cloud providers and manage them through a self-service portal. This model offers maximum flexibility and control over the underlying infrastructure.
PaaS provides a platform for developing, testing, and deploying applications without the need to manage the underlying infrastructure. This model typically includes a suite of development tools, databases, and middleware.
SaaS delivers software applications over the Internet, eliminating the need for local installation and maintenance. Users access these applications through a web browser or mobile app.
Hybrid cloud solutions are much newer, and combine the best of both on-premise and cloud infrastructure, by harnessing both resources at once. This approach offers flexibility, scalability, and enhanced security: Organizations can deploy critical workloads on-premise while using the cloud for non-critical or less sensitive applications.
A comparative cost analysis for the two solutions reveals the following:
The choice between on-premise and cloud computing finally depends on various factors, including security requirements, scalability needs, budget constraints, and regulatory compliance. For those looking for the ultimate flexibility, remote compute power, lower up-front costs and the ability to scale easier, cloud infrastructure is a no-brainer.
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DevSecOps is the integration of security into the DevOps pipeline, ensuring that security checks occur throughout the development lifecycle.
It reduces risks by identifying security issues early, promotes collaboration between teams, and ensures continuous security without slowing down development.
DevSecOps embeds security at every stage of development, while traditional DevOps often treats security as an afterthought.
Tools include SonarQube, OWASP ZAP, Trivy, Terraform Sentinel, Open Policy Agent (OPA), and Splunk.
SAST (Static Application Security Testing) is a security technique that scans source code for vulnerabilities before an application is built.
DAST (Dynamic Application Security Testing) analyzes running applications for security vulnerabilities during runtime.
Policy as Code allows security and compliance rules to be codified and automatically enforced across infrastructure and applications.
DevSecOps automates compliance checks by integrating tools that scan for security configurations and adherence to regulations like PCI-DSS and GDPR.
Benefits include early vulnerability detection, faster development cycles, and enhanced collaboration between development, operations, and security teams.
Start by integrating automated security testing in your CI/CD pipeline, adopt tools like SAST and DAST, and ensure regular vulnerability scanning.