Enterprises are increasingly embracing DevOps to maintain competitiveness, lead innovation, and justify customer demands. DevOps is heading digital transformation by aiding teams throughout the software development life cycle in enhancing time to market. To maximize these benefits, it is essential that enterprises opting for DevOps leverage orchestration tools to eliminate common issues such as siloed teams, inefficient resource utilization, enhanced error rates, slowed time to market, and difficulty scaling. DevOps Orchestration Tools rectify all these issues and provide a cohesive workflow with enhanced speed, quality, reliability, and cost reduction. Let’s first simplify DevOps Orchestration, its tools, and their prominent features!

What is DevOps Orchestration?

DevOps Orchestration coordinates and automates multiple processes simultaneously to generate and manage a seamless workflow. In simple terms, automation automates one process at a time. However, in reality, when we consider any enterprise, multiple processes rely on each other. Automating each of them is a great deal, but often, their interoperability poses a challenge. Here comes DevOps Orchestration! It creates a seamless transition of all these processes and ensures that each automated process can link up with another automated process, thus streamlining the entire workflow.

Top DevOps Orchestration Tools

The following provides an overview of each DevOps orchestration tool and highlights how it contributes to the DevOps workflow:

Jenkins

Unify Your Workflow With Devops Orchestration Tools in 2024

Kohsuke Kawaguchi initially created Hudson at Sun Microsystems in 2004, but it was later renamed Jenkins because of licensing issues. Jenkins quickly became famous as a server for open-source continuous integration (CI). Due to its unmatched flexibility and extensibility, Jenkins excelled as a DevOps orchestration tool, offering various plugins to meet various development requirements.

Features

Provides an extensive ecosystem of plugins for customization
Compatible with a range of source control systems, including Mercurial, Git, and SVN.
Jenkins can build a cohesive workflow by compiling code, deploying applications, running tests
As an assessment tool for tracking performance and recognizing problems that need to be fixed

Ansible

Michael DeHaan developed Ansible in 2012 as an agentless configuration management solution. Its emphasis on automation and human-readable syntax helped it acquire popularity early on. Ansible significantly automates application deployment, IT services management, and infrastructure provisioning.

Features

It is an open-source tool
Playbooks are easily extensible and reusable, making them ideal for coordinating the automation of complicated processes.
An agent isn’t required to be installed on the host computer for Ansible to function.
Multi-tier applications can be easily automated with it.

Docker

In 2013, the open-source "dotCloud" project gave rise to Docker. Although its primary purpose was to offer platform as a service (PaaS), it became well-known as a containerization technique.

Features

It offers a range of tools, including UIs, CLIs, and APIs, to automate various processes across the entire application delivery lifecycle.
It scales and deploys applications quickly and easily, configuring environments in a snap.
Through its easy-to-use API, Docker can efficiently build, handle, and deploy applications.

Kubernetes

Developed by Google engineers in 2014, Kubernetes was based on their experience managing large-scale containerized workloads. It has been open-sourced since 2015 and has become the industry pioneer for container orchestration.

Features

Self-healing mechanisms for automatic recovery
Can run all the major workload types such as stateful, microservice, stateless, batch jobs, services, and monolithic
Load balancing and scaling are automated
Offers an extensive ecosystem of plugins
Essential when deployment, networking, and scaling of applications are to be performed on a large scale

Splunk

Splunk, founded in 1999, originally concentrated on the search and analysis of machine-generated data. Gradually, it extended its capabilities to include IT operations management, business analytics, and log management.

Features

It offers an analytical engine for data alerting and correction
It gives data visualization strengths for reporting and search
Provides a unified platform to automate and orchestrate tasks across multiple containers, virtual machines, and clouds

Nomad

Developed by HashiCorp in 2015, Nomad was designed as a dynamic cluster scheduler proficient in handling various workloads, including containers, batch jobs, and system services. It acts as a dynamic orchestration solution due to its simplicity and performance.

Features

Scheduling is dynamic and simple
Containerized and non-containerized applications orchestration
With minimum operational overheads, runs batch workloads
Edge workload handling offers a comprehensive workflow to ensure interoperability among devices at the edge

Rancher

Rancher Labs released a Rancher in 2014 to simplify Kubernetes management by offering a user-friendly interface and extra features. It offers full lifecycle orchestration for the Kubernetes cluster, comprising deployment, upgrades, and security.

Features

Open-source orchestration tool for running containers in production
Supports various container-based orchestration tool
Excels in hybrid and multi-cloud deployment

New Relic

New Relic was launched in 2008 with an initial emphasis on application performance monitoring. It has widened its product offerings to involve digital experience and infrastructure monitoring.

Features

Delivers a comprehensive platform for deploying, managing, and developing applications
Teams can scale applications in an efficient manner
The application can be monitored in real-time

AppDynamics

AppDynamics, founded in 2008, is centered on providing in-depth insights into application behavior. Its focal point was application performance monitoring. Eventually, it emerged as a great contributor to DevOps orchestration. It offers real-time troubleshooting and diagnostics.

Features

Automates distributed application deployment and rollback of failed deployment
Identifies anonymous behavior through analytics and monitoring strengths
Issues are debugged quickly and efficiently

Zabbix

Alexei Vladishev introduced Zabbix in 2001 as an open-source monitoring tool. It helps with real-time tracking, alerting, and reporting strengths. Its role as an orchestration tool is significant.

Features

An open-source tool
Can easily integrate with multiple DevOps Tools
Offers a unified environment to orchestrate, monitor, and manage numerous services in one place

Embrace The Potential Of DevOps Orchestration Tools Today!

In conclusion, the role of DevOps Orchestration tools is a game changer. They can aid enterprises in minimizing operational costs, strengthening security posture, and accelerating performance and scalability. You can opt for the one that fits your requirements from the above tools. Leveraging DevOps Consulting Services can turn your cloud game and aid you in making the right choice; what are you waiting for? Just embrace these DevOps Orchestration tools and witness the change.

Happy Clouding!

Unify Your Workflow With Devops Orchestration Tools in 2024