Every year, the technology industry introduces new tools and skills that make it easier—and faster—for you to build a scalable and efficient stack. In 2022, these are some of the most important ones.
Kubernetes is the most popular and powerful open-source platform for automating containerized applications’ deployment, scaling, and management. It’s a tool for managing containerized applications at scale. It’s not just useful for running in production but also running on your laptop when developing.
A Kubernetes registry is a collection of repositories where container images can be stored and shared. A typical use case for a Kubernetes registry is to share validated application images between development, test, and production environments. Images in registries can also be used by continuous integration/delivery (CI/CD) pipelines to build and deploy applications.
In a development environment, Kubernetes is useful for:
- Running a local development environment with Docker and Kubernetes installed locally on your laptop.
- Deploying apps to any cloud provider or bare metal machine.
- Creating a local environment where you can test new versions of your app without affecting production.
- Testing and deploying your app on multiple servers (AWS, GCP, VMware) with minimal effort.
- Managing your app’s infrastructure using a declarative approach.
Docker is an open-source platform for deploying and running applications in a container. Docker is the most widely used container technology available today, with over one million users worldwide. It allows you to quickly create lightweight, portable and self-sufficient containers that can be run virtually anywhere regardless of the underlying infrastructure.
The primary use case for Docker is deploying applications in containers where they can be easily moved between various environments (production or staging) while maintaining all the dependencies needed to run them correctly.
Docker is currently the most popular container technology, and it’s being used in production by several companies, including IBM, Microsoft, Amazon Web Services (AWS), and Google Cloud Platform.
AI has become a term thrown around so often that it’s easy to overlook its meaning. AI is an overarching term for many types of technology, including machine learning, deep learning, and neural networks. AI can be used to automate tasks and personalize content for users depending on data you have about them through keywords or other signals like location tracking.
AI can also be harnessed as part of recommendation engines to recommend products or services based on others who share similar characteristics as you have purchased in the past.
What’s even more powerful is cloud AI which is the ability to harness AI technologies as a service. This allows you to tap into the power of cloud-based AI without building infrastructure or hiring engineers yourself. Cloud-based AI can help automate tasks and personalize content for users depending on data you have about them through keywords or other signals like location tracking.
ChatOps is a collaboration tool that lets you automate your infrastructure and applications. Chat messages allow you to manage your infrastructure and applications in real-time.
ChatOps can monitor applications, deploy code, run tests, and more. ChatOps works by integrating with existing tools like GitHub and Slack to create a virtual command center where developers can perform everyday tasks with the click of a button or a short message.
The main benefit of ChatOps is that it makes your development workflow more efficient. You can perform routine tasks without leaving Slack, so you don’t have to switch between different tools and applications.
5. Serverless Architecture
Serverless architecture is an application development paradigm that enables cloud computing without needing servers. It allows you to focus on writing code instead of managing infrastructure and can be used for various applications, including IoT devices, web apps, mobile apps, and more.
- No servers to manage or monitor
- Pay only for what you use (there’s no charge for idle instances)
- Automatic scaling up/down based on demand
- You have less control over your environment than with traditional services like VMs or containers
As you can see, many tools help you build your technology stack. However, choosing only the ones that fit your current needs and those that will allow for growth over time is essential.
If your business is still growing and needs more flexibility with its applications, we recommend using a tool like Kubernetes or Docker that supports serverless architecture. Once you have these core tools in place, it’s time to start thinking about how they work together so they can be deployed quickly across multiple platforms—and make sure there are no gaps in functionality between them!