Check Point® Software Technologies Ltd. has been recognized as a Leader in the latest GigaOm Radar Report for Security Policy as Code.
Container technology, such as Docker and CoreOS, have become an increasingly popular step in DevOps journeys. Containers are lightweight and portable, making them easier on organizations' resources. Containers can benefit cloud environments in a variety of ways, but that does not mean they are perfect for every situation. Software teams must manage a container's life cycle, including provisioning, deployment, scaling (up and down), networking, load balancing and more. The maintenance and implementation of container technology can be tedious and, therefore, there are situations where containers simply are not a good idea.
I asked top industry experts — DevOps Institute Ambassadors— to share their thoughts on when you may not want to use containers. Here's what landed at the top of the list:
Anshul Lalit
head of technology and transformation, Kongsberg Digital
"Containers are perfect for deploying an application with many dependencies that the end-user does not need to touch. However, containers might not be the best option if the application is very lightweight, and it's not essential for users to quickly update the application with each new version. For example, I would recommend for a monolith lift-and-shift to use a simple VM to avoid disruption.
In addition, it is vital to understand the limitations and differences between using a container and using another technology stack. Some use cases where you may avoid containers are:
If you need to use a special driver, capability or incompatible software with the standard container kernel.
If you need to change the kernel configuration, use a custom kernel, add other software or run commands that interfere with a container's standard configuration.
If you need to work with files that are incompatible with a container. For example, if you need to access a file system or a database not available in a container.
Also, as a general guideline, I highly recommend The Twelve-Factor App methodology for building modern software-as-a-service (SaaS) apps. It just makes your product life easier, predictable and covers all bases."
Supratip Banerjee
solutions architect, Principal Global Services
"If security is a priority, maybe Docker is not the best solution.
The most significant security benefit of Docker is that it divides the software into smaller pieces. If the security of one component is jeopardized, others are unaffected. While separated processes in containers offer greater security, all containers have access to the same host operating system. You face the risk of operating Docker containers with insufficient isolation. Any malicious malware has the ability to gain access to your computer's memory.
It is common practice to operate a large number of containers in a single environment. Unless you limit the resource container capabilities, this is how you make your app vulnerable to resource abuse attacks. Each container should handle one specific area of concern for optimal efficiency and isolation.
Another issue is that Docker's default setup does not namespace users. Namespaces allow software resources to use other resources only if they are in the same namespace."
Parveen Arora
co-founder and director, VVnT SeQuor
"If you're doing a project(s) related to "lift and shift" of your applications, you may be better off with a simple VM deployment to experience the least amount of disruption. However, if you're creating a new application from scratch, you're probably better off starting with containers."
Vishnu Vasudevan
head of product engineering and development, Opsera
"If you're running a monolithic application, people assume that switching from monolithic to container-based microservices is like flipping a switch, but that's not the case. Understanding the application needs to happen first and deciding to make it containerized is only viable if your team has the right skills for converting a monolithic application into a containerized application. If you do not have the skills within the application team running the monolith, they are likely going to fail. Whoever is building the application needs to know best practices for container orchestration. They need to analyze and recommend whether or not this application fits in the wheelhouse of containerization. Do not try to move everything to containers because it's the popular thing to do or your competitors are doing it. It has to be solely based on the merit of the application, not based on the merit of the person pushing to move to containers."
Join DevOps Institute for SKILup Day: Container Orchestration, for how-to sessions to expand your container knowledge.
Industry News
JFrog announced the addition of JFrog Runtime to its suite of security capabilities, empowering enterprises to seamlessly integrate security into every step of the development process, from writing source code to deploying binaries into production.
Kong unveiled its new Premium Technology Partner Program, a strategic initiative designed to deepen its engagement with technology partners and foster innovation within its cloud and developer ecosystem.
Kong announced the launch of the latest version of Kong Konnect, the API platform for the AI era.
Oracle announced new capabilities to help customers accelerate the development of applications and deployment on Oracle Cloud Infrastructure (OCI).
JFrog and GitHub unveiled new integrations.
Opsera announced its latest platform capabilities for Salesforce DevOps.
Progress announced it has entered into a definitive agreement to acquire ShareFile, a business unit of Cloud Software Group, providing SaaS-native, AI-powered, document-centric collaboration, focusing on industry segments including business and professional services, financial services, healthcare and construction.
Red Hat announced the general availability of Red Hat Enterprise Linux (RHEL) AI across the hybrid cloud.
Jitterbit announced its unified AI-infused, low-code Harmony platform.
Akuity announced the launch of KubeVision, a feature within the Akuity Platform.
Couchbase announced Capella Free Tier, a free developer environment designed to empower developers to evaluate and explore products and test new features without time constraints.
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced the general availability of AWS Parallel Computing Service, a new managed service that helps customers easily set up and manage high performance computing (HPC) clusters so they can run scientific and engineering workloads at virtually any scale on AWS.
Dell Technologies and Red Hat are bringing Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform built on an AI-optimized operating system that enables users to more seamlessly develop, test and deploy artificial intelligence (AI) and generative AI (gen AI) models, to Dell PowerEdge servers.