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DevOps: Bringing Development and Operations Closer Together

Bringing Development Operations

Software development, implementation, and deployment are complicated yet critical processes for product and service-oriented organizations. With the digital boom, Software-as-a-service became a concept that held together what has now become the biggest industry this world has seen - the worldwide IT industry. Providing software as a service has a few well-documented steps, such as software development and software testing services. With the advent of this digital service sector, newer problems in operations also arose, the most common of which is the tussle between development teams, which are responsible for building the software, and operations teams, which are responsible for its deployment.

Development teams suggested changes in the core software, whereas operations teams pointed out the web server environment is the issue. Caught in this struggle, the organizations started losing business, and clients lost out on regularly updated software releases. To rid the service sector of this bottleneck, the concept of involving both development and operational engineers throughout the lifecycle of the service was introduced. This practice, called DevOps, is built on a principle of communication between the agencies for mutual benefit and offers two major features - continuous value addition, and automation.


DevOps has brought significant change in the structure of daily operations at software firms. Let’s take a look at some of the key features of the combination of development and operations as a single entity below:

Know all about the DevOps by watching a Video by Rackspace

Looking Ahead

DevOps has started off on a high, but it is certainly still a work in progress. Technologies are being developed every day to work towards a more collaborative approach to service provisions. Software testing services need to be automated to ensure that the processes being developed are tested not just independently but in connection with their parent and sub-processes in quality settings.

DevOps is still a term unclear to many in the business sector, but implementing this principle and defining roles very clearly can ensure that deadlocks in internal production processes do not arise, and the final products are available with far more efficient in terms of quality and time consumption.

Top Must Have DevOps Tools for Professionals

1. Nagios and Icinga

Infrastructure monitoring has several solutions ranging from Zabbix to Nagios and similar open source tools. Nagios is a traditional monitoring solution which provides effective results since it has a large community where contributors develop plugins for the tool. It doesn’t have all the expected abilities and thus, you need to work around the issues occurring to the plugins. The best thing is it is not a hard part and Nagios gives its best performance.

Icinga was initially made as a fork of Nagios. The makers of Icinga aimed to take Nagios to the next level with premium collection of latest features and user experience.

2. ELK – Elasticsearch, Logstash, Kibana

The ELK stack is a log analytics solution in the IT industry. The tool gathers logs from all apps, services, tools, networks, servers, and others in an environment into a centralized location which is used for conducting further processing and analysis.

ELK is used for troubleshooting problems, monitoring services, and reducing the time taken for solving operational issues. Other than such analytical use, this tool is also being deployed for security and auditing purposes.

3. Jenkins

Jenkins is already popular, isn’t? Though there is nothing fancy about Jenkins, it’s simple to start to use and include ideal ecosystem of plugins and add-ons. Jenkins can also be optimized for customization. The tool is configured to develop code, build Docker containers, run maximum tests, and push to production.

4. Docker

Docker is transforming the ecosystem of IT world. Experts use this tool in production for most services. It is designed to ease configuration management, control issues, and scaling by letting containers to move from one to another place.


Consul is an open source tool designed for service discovery and configuration in flexible apps developed through microservices. It leverages the latest technology and works as a type of broker to help you sign and register names. This allows you to access service names and not the specific machines. It is an efficient tool and you can do a lot more with Consul

6. Ansible

Ansible is a simple configuration management tool which is mostly used for deployment configuration. Ansible can be used to push changes and reconfigure latest deployed machines. Moreover, ecosystem offered by the Ansible is ideal for working as it offers custom applications development.

7. Buddy

Buddy is a smart CD/CI tool for developers in which they leverage delivery pipelines to develop, test, and deploy software. The pipelines are made with more than 100 instant actions that can be arranged in any way. It supports all popular languages, task managers, and frameworks. Developers can integrate Buddy with AWS, DigitalOcean, Google, Shopify, Azure, wordpress, etc.

8. Vagrant

Vagrant DevOps tool lets developers to build and manage VM environments in a single workflow. It offers simple workflow and lowers development environment setup time. It also increases production parity. Developers can integrate Vagrant with existing configuration management tools such as Puppet, Chef, Salt, and Ansible. It offers an ideal development ecosystem to DevOps professionals.

9. PagerDuty

PagerDuty tool helps enterprises to enhance their brand image. The tool supports continuous delivery strategy and lets DevOps professionals to deliver high-performing and most efficient app solution.

PagerDuty offers real-time alerts. It easily detects and resolves incidents happening in development to production phase. It also supports platform extensibility and enables scheduling and automated escalations.

10. Ganglia

Ganglia is one of the best DevOps tools that developers can use for high performing computing systems such as grids and clusters. The tool offers several cluster and grid monitoring capabilities. It is completely free and open source tool. It is designed to handle clusters with 2,000 nodes.

11. Splunk

Splunk is a tool used by DevOps experts to make machine data accessible, valuable, and usable to everyone. Splunk tool offers operational intelligence to DevOps teams. It makes companies more productive, secure, and competitive. It is a next-gen monitoring and analytics solution that delivers a unified view of different IT services.

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