About Harness
Harness is an AI-powered platform that aims to ease the burden of DevOps by integrating a range of functionalities designed for continuous integration and continuous delivery (CI/CD). In my time testing Harness, I found it particularly useful for automating the deployment process, which is a godsend for any developer tired of manual oversight. One of the standout features is its AI-driven incident response; it can predict failures before they occur, giving teams the power to act proactively rather than reactively. This predictive capability, combined with their infrastructure-as-code management, means that teams can manage their cloud resources more efficiently without the usual headaches.
A key part of Harness's offering is its cloud cost management feature, which is crucial in today's environment where every penny counts. The platform provides insights into spending and usage patterns, allowing teams to optimize their resource allocation effectively. However, I did notice that while the platform is feature-rich, it can feel overwhelming for newcomers. The learning curve is steep, and without a solid onboarding process, teams might struggle to take full advantage of what Harness has to offer.
Pricing-wise, Harness offers a freemium model, but their website is somewhat lacking in specific details about the tiers and what you get at each level. This vagueness can be frustrating for teams budgeting for a new tool. Essentially, while the free tier may provide a taste of the features, to unlock the full potential of Harness, companies will likely need to invest significantly. I’d suggest that smaller teams or startups with limited budgets might find the costs associated with scaling the platform to be prohibitive, especially if they don't have a dedicated DevOps engineer to manage it.
In essence, Harness is a strong contender for larger organisations or teams with a focus on continuous delivery and automation. Its features can dramatically enhance workflows, but for smaller operations, the complexity and potential costs could outweigh the benefits. If you’re a solo developer or a small team, you might want to explore other options before diving into Harness.
Our Review
Verified 11 May 2026Reviewed by Delv Editorial, Delv Team
When I first got my hands on Harness, I was intrigued by the prospect of an AI-driven platform aimed at simplifying DevOps. I mean, who doesn’t want to automate those tedious processes? Harness promises to do just that by integrating CI/CD pipelines, infrastructure-as-code management, and even cloud cost management into one platform. Initially, it felt like a dream come true for someone like me who has wrangled with multiple tools in the past.
One of the features that genuinely impressed me was the AI-powered incident response. It’s like having a crystal ball for potential failures. I ran a few tests, and it accurately predicted issues before they escalated, saving me a good few headaches. The cloud cost management tools were also a highlight; they provided insights that helped optimise my spending on cloud resources. You can actually see where your money is going, which is a massive plus in today's budget-conscious environment.
However, it wasn’t all sunshine and rainbows. The learning curve is steep, and I found myself grappling with some of the more advanced features. If you’re a newcomer or a small team without a dedicated DevOps expert, be prepared for a bit of a struggle. The interface can feel cluttered, and without proper onboarding materials, you might find yourself lost in the myriad of options. Plus, the pricing structure is a bit murky—while there's a freemium model, the specifics on what you get for your money aren’t clearly laid out, which can be a deterrent for smaller companies.
In comparison to competitors like GitLab or CircleCI, Harness offers a more comprehensive suite of features, but this comes at the cost of complexity. GitLab, for instance, is more user-friendly and may serve smaller teams better, while Jenkins provides a level of customisation Harness lacks. So, who is Harness really for? Larger organisations with dedicated DevOps teams will benefit the most from its extensive capabilities, while smaller teams might want to think twice before committing.
In the end, Harness has the potential to transform the way larger teams manage software delivery, but it's not without its drawbacks. If you have the resources to invest in training and support, it could be well worth it. Just don’t expect an easy ride straight out of the gate.
Getting started with Harness
In this guide, you will learn how to set up Harness for your DevOps needs, automate deployment processes, and leverage AI for incident response. By the end, you will be ready to streamline your CI/CD workflows effectively.
Step 1: Sign up and set up
Step 2: Your first deployment
Step 3: Get better results
Pro tip
Set up automated rollback in your deployment strategy. This way, if an issue arises during deployment, Harness can automatically revert to the last stable version without manual intervention, saving you time and effort.
Common mistake to avoid
Avoid overlooking permissions when linking your cloud provider. Ensure that the account used has the necessary permissions to create and manage resources. Failing to do so can result in deployment failures or limited functionality.
The Verdict
Harness is a solid choice for larger organisations seeking to automate their DevOps processes, thanks to its AI-driven features and comprehensive toolset. However, smaller teams might find it unnecessarily complex and potentially costly, so I’d recommend exploring simpler alternatives if you're working with limited resources.
Best For
- Large DevOps teams that require efficient CI/CD management.
- IT operations looking to optimise their cloud spending.
- Organisations adopting infrastructure-as-code practices.
- Software development teams focused on automating incident response.
- Companies with dedicated resources for training and support.
At a Glance
Harness is an AI-driven platform that automates DevOps processes, focusing on CI/CD, incident response, and cost management. Its predictive capabilities help teams avoid potential issues, making it ideal for larger organisations looking to streamline their software delivery. However, its complexity and pricing model might not be suitable for smaller teams.
Strengths
- +AI-powered incident response is a standout feature, allowing teams to predict failures before they happen, which can save time and reduce downtime.
- +The platform's cloud cost management tools provide valuable insights into resource usage, helping teams optimise their spending effectively.
- +Its integration with CI/CD pipelines streamlines the deployment process, enabling faster and more efficient software delivery.
- +Infrastructure-as-code management simplifies the setup and maintenance of cloud resources, reducing the manual overhead for DevOps teams.
- +The freemium model allows teams to explore the platform without immediate financial commitment, making it easier to assess its fit for their needs.
- +The automation capabilities reduce the need for manual intervention in the deployment process, freeing up engineers to focus on more strategic tasks.
Limitations
- -The steep learning curve can be a barrier for new users, particularly those without a dedicated DevOps engineer to guide them through the setup and usage.
- -The pricing details are vague, which can lead to confusion and frustration for teams trying to budget for its implementation and scaling.
- -The feature set may feel overwhelming, especially for smaller teams that may not need all the functionalities offered by Harness.
- -Some users may find the UI not as intuitive as expected, leading to a frustrating onboarding experience.
- -Without proper onboarding resources, teams might struggle to realise the full potential of the platform, wasting time and possibly money.
Use Cases
- -DevOps teams in larger organisations that require efficient CI/CD processes to handle frequent deployments without sacrificing quality.
- -IT operations teams seeking to optimise cloud spending while maintaining high service availability and performance.
- -Companies adopting infrastructure-as-code practices that need a tool to manage and automate their cloud resources effectively.
- -Software development teams looking for an integrated solution to manage both deployment and incident response in one place.
- -Organisations facing challenges with resource allocation that want to make data-driven decisions on cloud costs and usage.
