by • July 12, 2023
Containerized microservices are essential to cloud migration and digital transformation plans. Do you have a clear picture of what containerized microservices are and why they’re important?
In this guide, you’ll learn about containers, microservices, and how they work together. First up is a bit of history that explains how the need for containers came to be.
Here’s the key things to know about containerized microservices:
Table of Contents
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Containers – or containerized environments – let you virtualize multiple application runtime environments on the same operating system instance (or, to be more technically precise, on the same kernel).
As the popular choice for running microservices applications, containers achieve operating system virtualization by “containing” only what’s required by an application for autonomous operation. Containers include executables, code, libraries, and files, and package them all as a single unit of execution. From the perspective of the containerized microservice, it has its file system, RAM, CPU, storage, and access to specified system resources. It doesn’t even know it’s in a container!
Unlike a virtual machine (VM), containers don’t need to contain a separate operating system image. This makes containers lightweight and portable and significantly reduces the overhead required to host them. Thanks to this efficiency, containers give you more virtual runtime environments for the money spent. They offer dramatically faster start-up time as well as they don’t have to spin up an operating system when they initiate.
Being able to run multiple containers on a single OS kernel is valuable when constructing a cloud-based microservices architecture. Compared to virtual machines, you can run three times as many containers on a single server (or on a single virtual machine). This choice saves a tremendous amount of resources and server costs.
Before there were containers, there were virtual machines (VMs). Organizations have used VMs since the 1960s to run multiple operating system instances on the same server. VMs let you isolate applications from each other for greater stability without investing in another physical server for each instance.
In those aspects, VMs can save you money and resources. The problem is that a VM still uses a lot of system resources. That’s because VMs make a virtual copy of everything – including the operating system and emulation of hardware it needs to run. That’s fine if you have enough unused server resources to support all the VMs you need.
But if you’re running VMs in the cloud, you’re probably not seeing any cost savings due to the resources you are using. Spinning up additional VMs requires buying more cloud RAM, clock time, and operating system licenses. The high costs of running many virtual machines in the cloud are a top reason many are switching to “container” technology. It’s a lighter-weight, faster, and more cost-effective alternative.
A great way to introduce how containerized microservices work is to describe the other strategies for running microservices (and explain what’s wrong with them):
Since containers have come into wide use, sysadmins and IT leaders alike have enjoyed the many benefits of containers. Here’s a review of their characteristics and the value they bring to the enterprise:
Without the need for an operating system image, containers use fewer system resources than virtual machines. This translates into more efficient server utilization and no additional OS licensing costs.
Containerized microservices and apps are easy to deploy on the widest variety of platforms and operating systems. Run them on a PC, Mac, laptop, or smartphone, and they will operate consistently.
By dividing a monolithic application into a network of containerized, independently-running microservices, application development is faster and easier to organize. Small teams can work more granularly on different parts of an application to develop the highest quality code without the risk of coding conflicts. This results in faster deployment, patching, and scaling.
Containers have become the de facto choice for adopting a microservices architecture because they’re less expensive and less process heavy compared to other strategies.
Smaller than virtual machines, containers require less storage space. In many cases, they are 10% or less the size of a VM.
Containers start up in seconds – sometimes milliseconds – because they bypass the need for a VM to lumber through the process of spinning up the operating system each time it launches. Faster container initiation times offer an improved app user experience.
The most well-known tools for building and managing containerized microservices are Docker and Kubernetes. They automate the process of using Linux cgroups and namespaces to build and manage containers.
Docker focuses on creating containers, while Kubernetes focuses on container orchestration. Commonly abbreviated as CO, container orchestration is the automatic process of managing the work of individual containers for applications based on microservices within multiple clusters.
Here’s a detailed comparison of these two popular tools for containerized microservices.
Docker was released in 2013 as the first large-scale, open-source containerization solution. Built to make Linux container features such as cgroups and namespaces more accessible and easier to use, the Docker platform has since become synonymous with containers and containerized microservices.
Soon after Docker’s release, forward-thinking enterprises began using the platform to build containerized runtime environments. This helped support their cloud migration, digital transformation, and microservices efforts. Docker-built containers can immediately reduce cloud-compute overhead expenses for an enterprise by replacing VMs with containers.
Docker’s most popular benefits include:
Kubernetes is another name that has become synonymous with containerization. It is a container orchestration tool that helps developers run and support containers in production. The open-source container workload platform lets you manage a group of containerized microservices as a “cluster.” Within a Kubernetes cluster, you can distribute available CPU and memory resources according to the requirements of each containerized service. You can also move containers to different virtual hosts according to their load.
Working together with Docker, Kubernetes wraps containers in “pods.” Then it automates container deployment and loads balancing with the following features:
Kubernetes is a highly portable solution. They are now supported by the biggest cloud servers. These include Google Cloud Engine (GCE), Amazon Web Services (AWS), and Microsoft Azure Container Service. Private cloud providers – like OpenStack, Microsoft, Amazon, and Google – have also incorporated Kubernetes container services.
Two popular alternatives to Kubernetes include:
Containerized microservices also come with their own set of challenges. Here are some common challenges that organizations may face when they start adopting containerized microservices:
Containerized microservices have already enabled many of the apps and features people use daily. The abstraction of applications, APIs, and other development roles from the hardware layer has enabled tremendous growth for the container concept. Of course, technology never sits still and new trends emerge all the time. Here’s a look at some of the most exciting concepts that build on the ideas of containers and microservices:
DevOps is the merger of traditional development and IT operations teams. DevOps practices place the focus on collaboration across the entire IT organization. Key components of a DevOps organization are automated and standardized deployments, freeing staff from repetitive tasks. The speed of standard deployments that containers offer makes DevOps and containerized microservices a perfect match.
Artificial Intelligence Operations, or AIOps, is the practice of bringing AI into the world of IT. Identifying system failures or security breaches has traditionally been a time-consuming process. The use of cloud and distributed containerization enables AI to solve these problems. AIOps can help in the identification and prevention of IT issues, along with automating security monitoring and intrusion detection.
Low-code is a software development concept based on the idea of creating applications using a simple drag-and-drop UI. Emerging right along with this trend are low-code APIs, which are application frameworks that allow developers to build full-featured apps visually and with a minimal amount of writing code. Industry pundits and analysts are already pointing toward low-code APIs as the next evolution of microservices.
After reading this guide, you should know what containerized microservices are and why containers are a cost-effective alternative to virtual machines. You should also be familiar with the most popular tools for launching and orchestrating containerized microservices.
After launching your containerized microservices, you can use DreamFactory iPaaS (Integration Platform as a Service) to establish data connections. This allows them to work together as an integrated whole. DreamFactory automatically generates REST APIs for any database, so you can securely establish data connections between your apps and microservices in minutes. Sign up today for a free 14-day trial to see for yourself!
Containerized microservices are a software architecture approach that involves breaking down an application into small, independently deployable services. These services are encapsulated within containers, providing isolation and portability.
Traditional monolithic applications consist of a single codebase and are deployed as a single unit. In contrast, containerized microservices are modular, allowing each service to be developed, deployed, and scaled independently. This approach enables greater agility, scalability, and flexibility.
Containerized microservices offer numerous benefits, including improved scalability, fault isolation, ease of deployment and management, faster development cycles, and the ability to utilize diverse technologies and programming languages.
Some common challenges include container orchestration and management, ensuring communication and coordination between microservices, maintaining data consistency, handling security and authentication, and effectively monitoring and debugging the distributed system.
Container orchestration tools like Kubernetes or Docker Swarm help manage and automate the deployment, scaling, and management of containerized microservices. They handle tasks such as service discovery, load balancing, scaling, and monitoring, simplifying the management of a distributed microservices architecture.
Strategies such as synchronous and asynchronous communication, service discovery mechanisms, API gateways, message queues, and event-driven architectures can be utilized to enable effective communication and coordination between microservices.
Achieving data consistency can be challenging in a distributed system. Techniques like database per service, event sourcing, distributed transactions, or eventual consistency can be employed to address data consistency requirements based on the specific needs of the application.
Implementing secure container images, applying proper access controls, encrypting sensitive data, enforcing authentication and authorization mechanisms, and implementing network security measures are essential for ensuring the security of containerized microservices.
Monitoring tools and practices, centralized logging, distributed tracing, and observability techniques can be utilized to gain insights into the performance, availability, and health of containerized microservices. These tools help identify and debug issues in the distributed system.
Containerized microservices are well-suited for complex and scalable applications, particularly those with varying and evolving requirements. However, the adoption of containerized microservices should be evaluated based on factors such as application complexity, team expertise, infrastructure capabilities, and project requirements.
REST APIs vs Microservices: Key Differences
Fascinated by emerging technologies, Jeremy Hillpot uses his backgrounds in legal writing and technology to provide a unique perspective on a vast array of topics including enterprise technology, SQL, data science, SaaS applications, investment fraud, and the law. Contact Jeremy at [email protected].
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