Starting a new business is both exciting and daunting. The possibilities are endless when you begin, and your small, driven team can adapt quickly. These factors also contribute to one of the biggest challenges for growing businesses: scaling.
Working as a solo developer on a minimum viable product (MVP) is not the same as collaborating with a team on a maturing product. Moving fast and breaking things is a fantastic approach when trying to disrupt the market. This approach can lead to duplicated and disorganized efforts as a project matures. It's a delicate balancing act—move fast and grow while maintaining reliability.
These early pains are exacerbated by start-up engineering teams often juggling multiple responsibilities. In those early stages, personnel and budget to build specialized teams are always in short supply. Without efficient systems in place, team members can quickly become overwhelmed. Finding sustainable ways to scale helps prevent burnout while staying competitive.
What Is the Role of Automated DevOps in Scaling
The best product in the world will still fall behind the competition if it's slow to adapt to changes or frequently unavailable. Your development process should focus on facilitating code changes to production while effectively identifying and addressing errors. That's why, when done right, DevOps is a game changer for start-ups—it gives developers the breathing room they need to focus on building great products.
As you'll soon learn, a correctly set up development process needs to rely heavily on automation to give your team the best chance for success. Merging new code to production, testing for breaking changes, and deploying and maintaining infrastructure can be simplified with an appropriately set up development pipeline.
Why Manual Processes Don't Scale
Scaling your operations comes with its own unique set of challenges and traps. You may notice that your deployments start to fall behind or that it takes longer and longer to get them to the finish line. Then comes the configuration drifts—your development environment becomes less and less representative of production with each temporal fix. Engineers start to dedicate more and more time to getting the code ready rather than creating value. Eventually, someone makes a huge mistake—a bad piece of code is pushed to production or a key piece of infrastructure is brought down. If any of these sounds familiar, you need to properly set up a DevOps pipeline as soon as possible.
Scale Easily with DuploCloud
DuploCloud is a platform that addresses scaling challenges head-on. It's a one-stop shop for DevOps, observability, and compliance, where teams without a specialized DevOps engineer can achieve automation.
The intuitive user interface (UI) of DuploCloud makes it easy to deploy new infrastructure and manage your existing one efficiently. It also simplifies deployment with predefined, battle-tested design patterns while offering the flexibility to configure settings without conflicting with your current technology stack.
With DuploCloud, you're not just saving time and money on automation setup—you're setting your business up for sustainable growth.
This e-book explains why DevOps is imperative to a successful scaling process and teaches you how to implement automated DevOps using DuploCloud to streamline your operations, enhance your DevOps stack, and improve efficiency.
Why Automating DevOps Matters—Even for Start-Ups
Oftentimes, start-ups manually deploy code, manage infrastructure, and monitor applications. While this might be okay initially, it quickly becomes unsustainable as the business grows. Maintaining consistency across environments while creating and deploying everything manually is error-prone and time-consuming. You'll soon find yourself stuck in a cycle of reactive firefighting rather than proactive innovation.
While automating DevOps is essential for any start-up size, it's even more critical when scaling. If you're scaling from a small team to a growing business, you're likely facing some of the following challenges.
Infrastructure Mayhem
Scaling isn't just about handling more customers or transactions—it's about building systems that can handle growth without collapsing under their own weight. As you build and deploy new features, fix outages, and scale infrastructure to meet demand, keeping track of all the changes is difficult. Little by little, the infrastructure drifts apart from the original design, and the why behind infrastructure modifications is lost.
Developer Overhead
No one dreams of a job filled with battling constant crises, crunching to deliver new features, and working with barely functioning code. If teams have to frequently wait for each other, infrastructure will be a constant source of pain. It's only natural that frustration in the company grows—and this frustration leads to further inefficiencies and, eventually, burnout. It's tough to stay motivated when every day feels like an endless cycle of firefighting and repetitive tasks.
Technical Debt
Some amount of technical debt is typically inevitable. Still, it's easy to see how a combination of the previous two challenges, when unattended, can lead to extensive debt. Overworked developers make manual hotfixes in production, which leads to drift and more errors in future deployments, which, in turn, leads to more hotfixes. A few cycles like this and every production deployment becomes a nightmare.
Few things are more discouraging for a developer than producing subpar code they don't have the time to improve. It's even worse when that code produces operational errors later on, creating a destructive cycle of growing technical debt and developer burnout.
Why Automate DevOps
These examples should provide you with a clear case for why DevOps automation isn't just nice to have—it's a foundational strategy for sustainable growth. But it's not just a matter of avoiding disaster; even if your current processes are working, automating your deployments makes them more efficient and reliable. These benefits aren't accidental—they're a direct result of adopting effective DevOps practices.
Time Is Money—Get Yours Back
In the start-up world, time is your most valuable resource. Every hour spent debugging deployments or manually provisioning infrastructure is an hour not spent building the features your customers want.
The first benefit you'll notice after implementing a continuous integration, continuous delivery (CI/CD) pipeline is the time you save. Yes, some time needs to be invested initially to set it up, but the time you get back far outweighs the time invested—and DuploCloud makes the setup process easy.
A faster development cycle gives you a direct competitive advantage when going from a quick prototype to a full-fledged feature. Being able to translate client requirements into working demos and then operational features directly translate into earnings for your company, not to mention the kind of goodwill that it builds with your clients. There are a few things that make a client feel more heard than seeing their feedback reflected in the final product.
Consistent and Minimal Errors
DevOps excels at helping teams avoid the spaghetti of code and infrastructure that usually comes with manual deployments. For instance, when an automated pipeline handles deployment, the environment setup is already taken care of, reducing the chances of human error—and fewer mistakes overall.
An automated pipeline also saves time by catching errors during the deployment process. Traditionally, errors are caught during the test phase after the build is done. This feedback cycle is too slow. Instead, you can configure a CI/CD pipeline to run smoke tests on every commit, then more significant tests when committing to the stable branch, and more extensive tests before every release of a new build—stopping bad code from making its way into releases.
Infrastructure-as-code (IaC) tools, like Terraform, treat your code as the source of truth for deployed resources, eliminating infrastructure drift. If it's declared in the repository, it exists; any changes made outside of the source control are overwritten during the next pipeline execution.
There are many valid approaches to achieving this degree of automation, but this is a solid example of a deployment cycle using a multitude of tools designed to promote code changes consistently following the DevOps philosophy:
DevOps pipeline courtesy of DuploCloud
DuploCloud takes this a step further by abstracting most of the complexity away from infrastructure provisioning and offering a centralized hub for operations. DuploCloud reduces manual intervention, which leads to fewer errors and better resource allocation management.
Lean Operations Scale Better
Besides time, personnel availability is another constraint start-ups have to deal with. It's not always easy (or affordable) to have a team of developers who are experts in deployment practices. Relying on manual workflows is even more costly once you factor in errors and outages. By automating as much of the deployment process as possible, you reduce the risk of errors from team members who may not have specialized knowledge in that area.
Additionally, an adequately set up platform optimizes resource allocation, ensuring that infrastructure scales up and down based on demand. This means you're not paying for overprovisioned infrastructure. Proper monitoring also gives you the information you need to decide where to allocate your resources.
Teamwork
One of the most underrated benefits of DevOps automation is how it fosters collaboration. When everyone is aware of how deployments take place and can see the impact of their contribution, it's easier for people to assume responsibility.
A unified CI/CD pipeline provides visibility into the entire development process and breaks the traditional silos of development and operations. This transparency improves teamwork and accelerates problem resolution, creating a better overall development environment.
What Are the Real-World Examples
Maybe DevOps sounds too good to be true. Let's take a look at two real-world examples of growing companies, the challenges they faced, and how a well-set-up deployment process helped them scale sustainably.
Kami Vision: Market Growth
Kami Vision is a leading provider of edge-based vision AI platforms. It faced significant challenges while expanding its market reach.
Traditionally, computer vision services are provided by expensive, vertically integrated, closed systems that are unattainable for small businesses. The company needed to transition from traditional, monolithic systems to modern, cloud-based microservices to lower costs and be able to serve small and medium businesses. At the same time, they also had to adhere to stringent security and compliance standards like the Payment Card Industry Data Security Standard (PCI DSS) and the National Institute of Standards and Technology (NIST).
With DevOps, the first thing that needed to go was the monolithic approach, opting instead for a robust series of Kubernetes services. This allowed easy deployment and scaling of services without having to worry about overprovisioning.
Next, they needed to deploy Amazon Web Services (AWS) resources automatically. Setting triggers for automatic management of the resources allocated for each service meant they could offer their product at a competitive price.
They went from struggling to grow their market share to launching their product six months ahead of schedule. Automated pipelines streamlined their development process and enabled rapid deployment of new features.
IntelliH: Revolutionizing Health Care
IntelliH is a healthcare technology company that specializes in remote patient monitoring. When scaling their operations, the company faced substantial challenges. While they had successful engagements with smaller customers, the lack of a System and Organization Controls (SOC) 2 type 2 certification and Health Insurance Portability and Accountability Act (HIPAA) compliance was a significant barrier to partnering with larger hospitals and healthcare facilities. To grow, IntelliH needed to transition to containerized microservices.
IntelliH revolutionized its development pipeline by embracing DevOps. Production-ready Kubernetes clusters were deployed in record time, reducing infrastructure code by 80 percent. Automated compliance tools ensured the company passed audits, and the streamlined approach enabled fast time-to-market.
How DuploCloud Simplifies DevOps Automation
At this point, it's obvious that you need DevOps, but perhaps, you're thinking you don't have the time/money/people to make that a reality. That's where DuploCloud comes in. Let's take a look at how DuploCloud makes it easy to attain automation for a fraction of the cost and time it would take to build a DevOps department.
Earlier, an example DevOps stack was shown in the #reasons-to-automate-devops section. While this stack is solid, it comes with a sizeable drawback: you need people who are proficient in all those technologies—which is a considerable amount of know-how that most start-ups can't afford. With DuploCloud, this technical need is almost eliminated:
The DuploCloud DevOps Shopify Approach
During onboarding, DuploCloud engineers help you deploy a new virtual machine (VM) with the DuploCloud software. This machine provides you with an experience similar to that of software as a service (SaaS), with the benefit of all the processing happening in your infrastructure.
Much like Shopify, DuploCloud puts a lot of effort into creating a platform that allows you to manage your deployments with little to no code. This doesn't mean you can't use code to manage deployments; it just means you move way faster than if you tried to implement everything from scratch.
Once the DuploCloud software is up and running, you can manage it through its Terraform provider, API, or Web UI. It works across all major cloud providers and even on-premise.
Once set up, you can use the DuploCloud UI to easily create network infrastructure, VMs, Kubernetes deployments, and more—all with little to no code, thanks to customizable templates. As a small business leader, instead of training your team on multiple different technologies and having to go to multiple services to get information about the health of your services, you can use this central UI for all your business deployment needs.
Deployments through DuploCloud come with built-in logging and monitoring, helping you comply with various compliance frameworks. Check out this video if you want to see an example deployment done through the DuploCloud UI. With just a few clicks, you don't need to worry about DevOps or SecOps—DuploCloud handles it for you.
Consolidated Dashboard
With DuploCloud, teams can manage infrastructure provisioning, CI/CD pipelines, monitoring, and compliance checks from a single interface. The dashboard clearly visualizes your infrastructure, including VMs, Kubernetes clusters, and network configuration. Instead of navigating through separate AWS, Microsoft Azure, or Google Cloud consoles, the DuploCloud team of experts can train your team members to create cost-effective infrastructure and robust deployment pipelines from day one:
Docker container dashboard
Start-ups are often already stretched thin. DuploCloud eliminates the need for multiple tools and reduces context switching, helping you dedicate your limited resources where it matters most.
Beyond PaaS: Freedom without Restriction
While simplicity and ease of use are at the core of the DuploCloud values, ensuring businesses are not locked into rigid workflows is another core tenet.
Platform-as-a-service (PaaS) software can be restrictive when users want to interact with cloud prover functions that the platform has not exposed. DuploCloud is not PaaS and does not interfere with engineers or your existing tools.
If you're already using Terraform for IaC, DuploCloud won't disrupt your deployments—instead, DuploCloud can boost your efficiency. Rather than configuring multiple services, you can streamline the process with the DuploCloud Terraform provider.
Unlike a basic wrapper around a cloud provider's Terraform provider, the DuploCloud solution simplifies and reduces the complexity of your Terraform configurations using the same powerful APIs that power its UI. If the service is down for any reason, all your infrastructure keeps operating as usual. Additionally, if you choose to part ways with DuploCloud, you can keep everything. DuploCloud can export your latest cloud configuration into built-in Terraform code and state files. Once exported, you maintain the configuration.
There are no downsides to getting started.
How to Get Started with DuploCloud
Implementing DuploCloud is a guided process—DuploCloud creates a private Slack channel for quick and direct communication during onboarding. It's highly recommended that you start fresh and create a new cloud setup of your choice.
With a fresh account, the DuploCloud team schedules a call to install the DuploCloud portal and complete its configuration. After that, logging, monitoring, alerting, CI/CD, and SOC 2 controls are implemented. About 90 percent of the onboarding work is done by the DuploCloud team in as little as two weeks, depending on the complexity of your use case.
The onboarding process also includes migrating all services and applications you want to consider in scope. Your team receives extensive DuploCloud platform training during this phase, and any necessary application-level changes are discussed. Then, a pipeline logic for automated deployments is agreed upon, tests occur, and production deployment is done. After successfully migrating in-scope applications and services, there is an onboarding signoff to ensure you are prepared to continue independently.
The final product of the onboarding process is a VM in your account. This machine is granted specific permissions using the role-based access control (RBAC) solution offered by your cloud provider; no permanent access keys are required.
DuploCloud integrates with a wide range of third-party tools to provide cost-effective functionality. However, this out-of-the-box stack is optional. If you prefer, you can integrate with other third-party tools like Datadog by deploying collector agents just like any other application.
How to Create Automated Workflows
Let's take a look at the deployment process with DuploCloud to familiarize you with the flow.
Please refer to the official documentation for an up-to-date and in-depth explanation of deploying applications.
DuploCloud manages the separation of resources based on logical groupings called infrastructures and tenants. Each infrastructure is a connection to a unique virtual private cloud (VPC) network in a region. Tenants are the most fundamental constructs in DuploCloud—they're the logical workspaces that provide isolation of resources using security groups, access roles, instance profiles, and more.
Creating Resources
Creating a new infrastructure is as simple as providing a name, region, Classless Inter-Domain Routing (CIDR), subnet mask, and the number of availability zones that will be used. In DuploCloud, creating a new infrastructure looks like this:
Creating new infrastructure
DuploCloud creates the corresponding VPC, private and public subnets, NAT gateway, route tables, and other resources. This process also creates a logical configuration item called a plan. Think of a plan as a placeholder or a template for configurations. These configurations are consistently applied to all tenants within the plan.
Creating a tenant is just two additional steps in the DuploCloud UI. All you need to do is provide a tenant name and a plan. The plan should have the same name as the infrastructure you created:
Creating a new tenant
And that's all you have to do to create the working space for deploying a new application. This simplicity extends to any resource you want to deploy. Whether it's a VM, Kubernetes service, or load balancer, just select the resource, provide the necessary values, and let DuploCloud handle most of the configuration. For a full example, check out these detailed steps for deploying with Kubernetes.
Integrating with CI/CD Tools
DuploCloud has a brand-agnostic view of CI/CD that integrates with all major providers. An in-depth walk-through integrating different providers is available in this CI/CD Overview, but let's briefly highlight the process for integrating GitHub Actions.
You first need to create a DuploCloud service account to communicate with DuploCloud. Once access is configured, integrating DuploCloud into the pipeline requires the use of a specially designed action; the DuploCloud custom action takes care of the bulk of the configuration with just a few inputs.
DuploCloud also offers other actions that can be used after the setup to facilitate deployments. For instance, some actions can build new images, update them, and deploy them to a registry. If you have a pipeline that creates a new image for your application and want to update a Kubernetes service to use it, you can use the update-image action and let the linked action handle the rest. The following is what these two actions would look like in a pipeline:
```
steps:
# install and log in to the cloud
- name: Duplo Setup
uses: duplocloud/actions/setup@v0.0.5
# only required on gcp and azure
with:
account-id: ${{ vars.CLOUD_ACCOUNT }}
credentials: ${{ secrets.CLOUD_CREDENTIALS }}
# use the setup action from above
- name: Update Service
uses: duplocloud/actions/update-image@v0.0.5
with:
name: my-service
image: ${{ inputs.image }}
type: service
```
What's amazing is that this same action can update an Amazon Elastic Container Service (Amazon ECS) or a AWS Lambda function with minimal modifications. For example, to update a Lambda function in AWS, the setup would look the same and the update action would look like this:
```
# use the setup action from before
- name: Update Lambda
uses: duplocloud/actions/update-image@v0.0.5
with:
type: lambda
name: mylambda
image: ${{ inputs.image }}
```
All the actions of DuploCloud make it easy to update an Amazon CloudFront distribution, upload artifacts to an Amazon Simple Storage Service (Amazon S3) bucket, or even execute Terraform quickly. New functionality is always being added.
One really common scenario when using containerized applications is updating the Docker image for a service. Using the actions from the previous snippets, here is what the full configuration for this use case would look like:
```
name: Update Service
on:
workflow_dispatch:
inputs:
environment:
description: The environment to deploy to
type: environment
default: dev
required: true
image:
description: The full image
type: string
required: true
jobs:
update_service:
name: Update Service
runs-on: ubuntu-latest
environment:
name: ${{ inputs.environment }}
env:
DUPLO_TOKEN: ${{ secrets.DUPLO_TOKEN }}
DUPLO_HOST: ${{ vars.DUPLO_HOST }}
DUPLO_TENANT: ${{ vars.DUPLO_TENANT }}
steps:
# install and login to the cloud
- name: Duplo Setup
uses: duplocloud/actions/setup@v0.0.5
# only required on gcp and azure
with:
account-id: ${{ vars.CLOUD_ACCOUNT }}
credentials: ${{ secrets.CLOUD_CREDENTIALS }}
# uses duploctl from above
- name: Update Service
uses: duplocloud/actions/update-image@v0.0.5
with:
name: my-service
image: ${{ inputs.image }}
type: service
```
You can see an in-depth walkthrough of how to apply this configuration in the official documentation as well as examples using Lambda, Amazon ECS, and more.
It's worth emphasizing that DuploCloud does not get in the way of your current technology stack—it simplifies the configuration you have to create and allows you to interact directly with your cloud provider if needed. DuploCloud frees your team to dedicate their time to delivering value, not struggling to manage deployment configurations.
Another area that demands a sizeable allocation of resources tends to be security and compliance. Let's learn how DuploCloud can help.
Implementing Security and Compliance
DuploCloud is not a SaaS—the platform lives within your cloud infrastructure. There are no backdoors, call home, or outside control panels. The DuploCloud team's access to your platform is established only with your permission and can be revoked at any time.
When you use DuploCloud, you can rest assured that your applications and the service itself have been built for security. Anyone can say they follow best practices, but DuploCloud can back it up with objective security standards.
As a SOC 2–certified organization, DuploCloud can be integrated into your workflow without worrying about issues with compliance frameworks.
DuploCloud is confident that the deployments done using our platform meet all major security standards because the infrastructure is designed to comply with one of the most strict control sets out there: NIST 800-53. All major industry-specific compliance frameworks can be quickly met when NIST compliance is achieved. If your company needs to meet HIPAA, SOC 2, or other requirements, you can trust DuploCloud to take you there, as it has done with many partners in the past.
This same philosophy applies to every application you deploy using DuploCloud. Every deployment is done with a carefully crafted set of network segmentation, RBAC, firewall configuration, and encryption. You can read the in-depth explanation of each point in the documentation. All these control groups come implicitly implemented when you deploy using DuploCloud—you don't need to be a security expert to meet the most rigorous standards.
Many successful start-ups have trusted DuploCloud to support their growth and sustainability. Here are a few examples.
Authorium Case Study: Achieving StateRAMP Compliance and Simplifying Infrastructure
Authorium focuses on enhancing government operations through advanced technology solutions. The company's mission is to streamline complex, document-centric processes across government functions, such as procurement, budgeting, contracts, HR, and grant management.
Initially, Authorium operated in Texas and Arizona but wanted to expand nationwide. To do that, they had to establish a presence within AWS GovCloud (US) and achieve StateRAMP compliance—a rigorous certification for secure cloud services in the public sector. Meeting this certification is resource-intensive and challenging for any organization, let alone a start-up. Authorium didn't have the budget to source and maintain a full-fledged DevOps team, which meant existing staff had to multitask and stretch their expertise.
How DuploCloud Helped
The DuploCloud DevOps automation platform and hands-on support provided custom-made solutions to meet Authorium's needs while keeping the payroll manageable.
The very first thing DuploCloud helped address was operational complexity. DuploCloud experts provided guidance and support to streamline the creation and configuration of environments. Using AWS to scale the infrastructure, the lead time for such deployments went from weeks to hours:
Technical diagram of Authorium, courtesy of DuploCloud
DuploCloud also containerized Authorium applications using Docker and implemented robust CI/CD pipelines to automate build, test, and deployment processes. This new pipeline translated to seamless updates and minimized downtime.
The platform's out-of-the-box secure provisioning capabilities meant that Authorium's infrastructure fulfilled the compliance standards. DuploCloud deployed a Wazuh-based security information and event management (SIEM) solution alongside AWS security tools to continuously monitor, patch, and protect infrastructure. Regular security scans, vulnerability assessments, and penetration testing ensured compliance integrity.
DuploCloud doesn't just do the bare minimum—each new client is a partnership, and as such, DuploCloud provides twenty-four-hour support, troubleshooting, and architectural guidance. This expertise enabled Authorium to maintain high operational standards without expanding its internal DevOps team.
This partnership had tangible results in the growth and operations of Authorium. By handling infrastructure management and compliance complexities, DuploCloud helped Authorium focus on innovation, customer engagement, and market expansion.
Learn more about the work of DuploCloud with Authorium, along with many other success stories on the site.
Jay Nath, Co-CEO of Authorium, praised the DuploCloud partnership, stating the following:
"DuploCloud has been thorough, knowledgeable, and always available, meeting with us early, late, and even on weekends. They are genuinely invested in our success, as evidenced by their instrumental assistance in expanding our market from two states to all 50. Partnering with DuploCloud has allowed us to focus on growing our company and expanding our market share rather than getting bogged down with infrastructure maintenance."
Could partnering with DuploCloud be the change you need to grow sustainably and reach the next level? What's stopping you? Reach out today for a free demo.
Best Practices for Successful DevOps Automation
If you decide to move forward, you'll receive personalized help. Following are some of the best practices DuploCloud can help you implement for successful DevOps automation.
Start Simple then Scale
For start-ups beginning their DevOps automation journey, the key is to start simple and grow incrementally. Attempting to automate every aspect of your DevOps pipeline simultaneously can lead to unnecessary complexity and frustration. Instead, help your team identify the most time-consuming and error-prone tasks in your current workflow and focus on automating them first.
For example, start by tasking the team to set up a basic CI/CD pipeline that includes automated testing for new code being pushed. Once that is in place and running smoothly, additional layers of automation can be added. Listen to the developers working on the application. What do they say are the most problematic parts of the deployment process? Is the issue a lack of knowledge in the team, or is the process making things more complicated than it needs to be?
This phased approach ensures that automation efforts remain manageable and deliver tangible results. It also allows your team to become familiar with the tools and processes before expanding them further.
Optimize Your Workflows
Automation is more successful when it's not considered a one-off project. As your company matures and internal knowledge grows, you'll find better ways to deal with the problems you face.
One way to ensure you keep your solutions up-to-date is to avoid ad hoc solutions when possible—make it a company mindset to build a framework or module that you can reuse. For example, if your pipelines need to connect to a third-party service, instead of handling the connection with ad hoc code each time, build a microservice, custom library, or module that you can import into the projects. That way, if you need to update the approach for a solution, you can do it in one place instead of updating multiple projects.
Don't forget to frequently evaluate if your deployment process is getting too complex. For example, automating test cases is a great practice, but running unnecessary or excessively complex tests for every small code change is counterproductive. Optimizing this process by categorizing tests (e.g. smoke tests, regression tests, and performance tests) and running them at appropriate stages of development can save significant time.
Additionally, embrace tools and platforms that integrate seamlessly with your tech stack. Automation tools should, first and foremost, simplify your workflows. DuploCloud can help by providing an integrated solution that simplifies infrastructure management, compliance, and monitoring—all in one place.
Finally, incentivize your team to refine workflows continuously. A culture of experimentation and improvement can significantly enhance productivity.
Monitor and Iterate
Automation is only as effective as its ability to adapt to changing circumstances. Continuous monitoring is critical to identify issues, inefficiencies, and opportunities for improvement. Monitoring is not optional—a lot of effort can go to waste if it's targeted in the wrong direction. You need to know the source of your inefficiencies to solve them—gut feelings are not enough when it comes to efficient DevOps automation.
Some key areas you should monitor are as follows:
- Pipeline performance: Track the speed and reliability of your CI/CD pipelines.
- Infrastructure health: Monitor resource utilization, error rates, and security vulnerabilities.
- Compliance adherence: Ensure that your systems continue to meet regulatory requirements as they evolve.
Use these monitoring insights to iterate on your automation processes. If certain deployment steps frequently fail, fixing them should be a priority. The right monitoring stack gives you an edge when it comes to deciding where to dedicate the finite resources of your start-up.
Conclusion
Every start-up's automation needs are different, but one thing is clear—if you rely on mostly manual processes, your company will not be able to grow sustainably.
From simplifying infrastructure provisioning to ensuring robust security and compliance, automation provides start-ups with the tools they need to focus on their core mission and strategic growth. Hopefully, you're not yet at a point where the lack of automated DevOps impacts your growth potential, but even if you are, remember, it's not too late.
DuploCloud has helped numerous companies expand into new markets and meet complex regulatory standards without the overhead of a large in-house DevOps team. If you want to free your people to focus on what made your company great, there's no better time to explore what DuploCloud can offer.
Being a decision-maker at a start-up can be overwhelming—you may feel like you need to be an expert at everything. Here's a reminder that you don't have to be. Whether starting with basic automation or navigating complex compliance requirements, DuploCloud is here for you.
Start your journey with DuploCloud today and see how automation can transform your operations, empower your team, and set your business for long-term success.
