5 Best DevOps Tools You Should Be Aware Of

An approach that involves the integration of the development team with the operation team so that software can be built, tested and released faster with more reliability is DevOps. The DevOps concept lies in creating a collaborative culture between the teams that functioned historically in siloes. Hence, it is a culture and cannot be considered as a tool, language or technology.

DevOps focuses profoundly on setting a combined culture and recuperating efficiency via automation with its tools. In today’s digitized world, your engineering team and software developer can make use of the DevOps at its fullest only if they have the complete knowledge of its tools. DevOps culture and DevOps tools are the two values of DevOps and for becoming successful, the combination of these two values is very essential.

Now, when you have had a brief knowledge on what DevOps is and its values, let’s know about the top DevOps tools closely that can be employed in 2020 for improved results.

1. Raygun

Raygun

DevOps process essentially needs finding out performance issues and spotting bugs. Raygun is considered as one of the best platforms for monitoring error and reporting crash issues in real-time. DevOps tool of Raygun helps you in diagnosing performance issues as well as links those issues with the exact source code. This tool identifies automatically your top priority issues and notifies you about the same. It gives you exact details that can be useful to analyze the problem precisely.

Developers can easily get clarity regarding by whom the application is being used and can encounter specific problems that result in low-grade user experience. This tool also permits the developers to spot the performance issues of the front-end because of which loading time slows down.

2. Gradle

Gradle

Google uses Gradle for building Android Studio. This is a versatile tool permitting the developers to write their code in Python, Java, C++ and many other languages. Gradle helps the developers to speed up their development process as it offers matchless versatility of multi-repo apps and mono-repo buildings simultaneously. The tool offers a loaded APIs library and established plug-in ecosystem which supports automation and integration. With it, software developers can model, systematize and integrate software delivery solutions timely.

Gradle is very popular with developers because it offers incredible features that save a lot of time while building a project. Gradle is said to be 100 times faster than Maven. It is supported by IDEs such as Eclipse, IntelliJ IDEA and Ntebeans.

3. Ansible

Ansible

In DevOps, when it is all about configuration management, Ansible is the most preferred DevOps tool. This tool helps in configuring infrastructure together with automating deployment. Similar to tools like Chef or Puppet, only Ansible can be used easily by any novice developers as it offers a simplistic feel in comparison to other types of DevOps tools. Ansible is not only lightweight but also one of the secured platforms which is one of the biggest reason for its popularity among the developer’s community.

4. Elk Stack

Elk Stack

Elasticsearch, Logstash, and Kibana when combined results in ELK Stack. Considered as the best log management platform, Elk Stack comes with a versatile and powerful technology stack optimizing the operation’s workload and offering you free business insights. It is used for collecting your data’s and log’s insights. This is considered as an open-source DevOps tool having multiple plugins and is lightweight and can be deployed easily.

5. Kubernetes

Kubernetes

The Docker enables you to run the applications in containers, whereas Kubernetes allows you to run the containers in bunches securely. With Kubernetes, software development teams can automatically monitor, manage, scale as well as install cloud-native apps. This tool functions as one of the most powerful orchestrators managing communication between containers and coordinating them like a cluster.

Kubernetes can efficiently manage micro-services applications. It comprises of one master node and numerous worker nodes. Your pre-mentioned rules are implemented by master node and then the master node deploys the pods to all the worker nodes. It’s a continuously evolving ecosystem and is a strong candidate in the top DevOps tools’ list for 2020.

Conclusion

Other than the above-mentioned DevOps tools there are a lot many, but these tools are the best among all and are certainly going to be used by software developer teams in the coming year. Make sure that your arm your engineers and developers with apt tools required for performing the task efficiently.