Unleashing the Full Potential of Containerization for DevOps - Part 1
September 20, 2017

Ruslan Synytsky
Jelastic

A powerful tool for simplifying DevOps is containerization, which delivers a convenient form of application packaging, combined with the opportunity to automate certain IT provisioning processes. With containerization, DevOps teams can focus on their priorities — the Ops team preparing containers with all needed dependencies and configurations; and the Dev team focusing on efficient coding of an application that can be easily deployed.

This automation can be achieved through PaaS or CaaS solutions, which offer additional benefits including eliminating human errors, accelerating time to market and more efficient resource utilization.

Other important benefits of containerization are:

■ Container-based virtualization guarantees the highest application density and maximum utilization of server resources compared to virtual machines. 


■ Considering advanced isolation of system containers, different types of applications can be run on the same hardware node leading to a reduction of TCO.

■ Resources that are not consumed within container boundaries are automatically shared with other containers running on the same hardware node.

■ Automatic vertical scaling of containers optimizes memory and CPU usage based on the current load, and no restart is needed to change the resource limits compared to VM scaling.

Unleashing the potential of containerization for DevOps requires careful attention to several challenges however, especially for first-time adopters.

Realizing Project Needs

At the early stages, DevOps teams must analyze the current state of their projects and decide what is required to move to containers, in order to realize long-term, ongoing benefits.

For optimal architecture the right type of container must be selected. There are two types:

■ an application container (Docker containers) runs as little as a single process

■ a system container behaves like a full OS and can run full-featured unit systems like systemd, SysVinit, openrc that allow it to spawn other processes like openssh, crond, syslogd together inside a single container

For new projects, application containers are typically more appropriate, as it is relatively easy to create the necessary images using publicly available Docker templates taking into account specific requirements of microservice patterns and modern immutable infrastructure design.

It is a common misconception that containers are good only for greenfield applications (microservices and cloud-native). They can indeed breathe new life into legacy applications, with just a bit of extra work at the initial phase while migrating from VMs.

For monolithic and legacy applications it is preferable to use system containers, so organizations can reuse architecture and configurations that were implemented in the original VM-based design.

Future-Proofing Containerization Strategy

After determining what the project requires today, it is best to think about the future and understand where technology is heading. With project growth, complexity will increase, so a platform for orchestration and automation of the main processes will most likely be needed.

Management of containerized environments is complex and dense, and PaaS solutions help developers concentrate on coding. There are many options when it comes to container orchestration platforms and services. Figuring out which one is best for a particular organization’s needs and applications can be a challenge, especially when needs are frequently changing.

Here are several points that should be considered when choosing a platform for containerization:

Flexibility
It is paramount to have a platform with a sufficient level of automation, which can be easily adjusted depending on variable requirements.

Level of Lock-In
PaaS solutions are often proprietary and therefore can lock you into one vendor or infrastructure provider.

Freedom to Innovate
The platform should offer a wide set of built-in tools, as well as possibilities to integrate third-party technologies, in order not to constrain developers' ability to innovate.

Supported Cloud Options
When using containerization in the cloud it is also important that your strategy supports public, private and hybrid cloud deployments, as needs can change eventually.

Pricing Model
When you choose a specific platform, it is typically a long-term commitment. So it is important to consider what pricing model is offered. Many public cloud platforms offer VM-based licensing, which may not be efficient when you’ve already migrated to containers, which can be charged only for real usage, not for the reserved limits.

Which platform you choose can significantly influence your business success, so the selection process should be carefully considered.

Unleashing the Full Potential of Containerization for DevOps - Part 2

Ruslan Synytsky is CEO and Co-Founder of Jelastic
Share this

Industry News

December 05, 2019

Parasoft announced the newest release of Parasoft C/C++test, the unified C and C++ development testing solution for enterprise and embedded applications.

December 05, 2019

Datadog announced Security Monitoring, a new product that enables real-time threat detection across the entire stack and deeper collaboration between security, developers, and operations teams.

December 05, 2019

Pulumi announced the availability of Pulumi Crosswalk for Kubernetes, an open source collection of frameworks, tools and user guides that help developers and operators work better together delivering production workloads using Kubernetes.

December 04, 2019

CloudBees announced a Preview Program for CloudBees CI/CD powered by Jenkins X, a Software as a Service (SaaS) continuous integration and continuous delivery solution running on Google Cloud Platform.

December 04, 2019

Rancher Labs announced the general availability of K3s, their lightweight, certified Kubernetes distribution purpose built for small footprint workloads, along with the beta release of Rio, their new application deployment engine for Kubernetes that delivers a fully integrated deployment experience from operations to pipeline.

December 04, 2019

WhiteSource announced a new integration with Codefresh, the Kubernetes-native CI/CD solution.

December 03, 2019

Styra is addressing one of the most significant enterprise blockers of Kubernetes: compliance. With Styra, enterprises can move Kubernetes clusters into production en masse while complying with traditional governance, audit, and compliance rules and regulations.

December 03, 2019

Nureva added 13 agile-themed templates to Span Workspace, Nureva’s expansive cloud-based digital canvas for visual planning and team collaboration.

December 03, 2019

Threat Stack announced support for AWS Fargate in the Threat Stack Cloud Security Platform.

December 02, 2019

Tricentis announced the publication of Enterprise Continuous Testing: Transforming Testing for Agile and DevOps, written by Tricentis Founder Wolfgang Platz and Cynthia Dunlop.

December 02, 2019

JFrog announced the availability of the popular JFrog Platform subscription package Cloud Pro X on AWS Marketplace.

December 02, 2019

MuleSoft will extend its Anypoint Runtime Fabric to run on Google Cloud.

November 26, 2019

NeuVector announced the immediate availability of its “Security Policy as Code” capability for Kubernetes services.

November 26, 2019

Agile Stacks announced the launch of KubeFlex, a new cloud-native software platform enabling zero-touch Kubernetes deployments in data centers and at the edge.

November 26, 2019

Bacula Systems announced significant enhancements to its backup module for Kubernetes clusters.