Cloud delivery experience has made it easy to orchestrate your resources more efficiently and infinitely add new applications and workloads, allowing your company and developers to be more Agile. In your self-service catalog of applications, you can easily spin up new servers and deploy them to your new environments.  

Cloud Delivery lets you regain control of your data and enables you to deploy the required changes for your customer needs. Maintaining a steady delivery Pipeline with a vast number of growing dependencies can be difficult, especially when you want your delivery toolchain to comply with security standards. In this article, we’ll look at the challenges in Cloud Delivery and how to overcome them.

Challenges

  • Adoption Paradigm Shift: Companies struggle with adopting new paradigms around the consequences of services and shifting to cloud delivery architecture. The reason is that moving away from the manual deployment process to automation in cloud delivery requires you to train people on how the new model works. In part, it’s also a governance and compliance issue where companies do not have the infrastructure to actually understand what they have in the cloud, know what problems come up, and who is responsible for what part of the cloud.

  • Security and Privacy: Security teams in most organizations and businesses want to ensure that their internal cloud system cannot be accessed from the internet, especially when configuring a complex cloud delivery roadmap. They want to protect their application secrets and vault from external access. Using an industry-standard key management system like the CTO.ai cloud delivery vault lets you protect your instances by putting all your servers and virtual machines behind a load balancer.
  • Cost Uncertainty:  It’s hard to estimate how much your cloud delivery system will cost when exposed to workload and traffic. Most of the time, the cost varies depending on the resources and applications you want to deploy and deliver to your customers. Using a cloud pricing resource calculator will help you calculate your cloud resource spending and set up alarms when the cost passes a certain threshold.

  • Accelerating Time to Market: The cloud delivery strategy involves a lot of tools, methodologies, and activities. Many organizations and teams spend a lot of time and hours creating and configuring cloud delivery scripts and pipelines, which impacts the schedule it’ll take to get your product to the hands of your customers. Provisioning your Pipelines and configuration files with a CI/CD platform and using reusable open-source CI/CD workflow templates lets you deliver and accelerate the delivery of your applications to your users.

  • Managing multiple clouds: The current state of deploying and delivering applications to users is rapidly growing; more companies are combining public and private clouds. Adopting and choosing the right cloud provider for your application needs depends on your product dependencies, components, and application code. Users and organizations always have to check for cloud vendors that can provide compliance with their use case and are appropriately regulated by the standards they need.
  • Portability and Interoperability: When different teams and organizations scale their resources on various cloud platforms, they face a lockdown period in moving their application runtime, component, user, and data from one cloud platform to another. Transporting applications between cloud platforms can compromise their usability to perform at maximum efficiency and collaborate together. One of the best ways to address these issues is to understand every cloud provider and go through their rules of migration and service laws to prevent portability lockdown periods and restrictions on your resources in advance.

Avoid Common Cloud Delivery Challenges with CTO.ai

CTO.ai delivery workflows are a shift in change frequency and how we enable developers to design delivery systems and Pipelines for high availability combined with cloud functionality using different packages and components.

If you are looking to solve any of these challenges and would like to try the CTO.ai Delivery workflow solution, get started with your free trial now.