A DevOps Engineer must be aware of the latest trends, the tech industry follows. You should also look for the best tools and technologies to be used when working on a project. A new set of DevOps tools has emerged as the game-changers, propelling teams towards better efficiency and innovation.

In this blog, let’s delve into the 10 best DevOps tools that you must master this year. These DevOps tools provide the best features you could use in your project. Every DevOps engineer must be aware of these tools to get started with their project. Let’s have a look

10 Best DevOps Tools to Master in 2024

Let’s read about the 10 best DevOps tools that you must master this year, and which help DevOps engineers in completing their tasks efficiently:

1. Jenkins

Jenkins is an open-source automation server that facilitates building, testing, and deploying code. It is widely used in software development for continuous integration and continuous delivery (CI/CD).

Features of Jenkins:

1. Automation of Jobs
2. Integration with Version Control Systems
3. Extensibility
4. Distributed Builds
5. Wide Range of Plugins
6. Easy Configuration
7. Monitoring and Logging

Before we move to the next part, you should have a deeper knowledge of DevOps concepts. You can consider enrolling yourself in GUVI’s DevOps Career Program, which lets you gain practical experience by developing real-world projects and covers technologies including Agile, Scrum, Linux, Git, Bash Scripting, Dockers, Containers, AWS infrastructure, etc. 

Additionally, if you would like to explore AWS Infrastructure through a Self-paced course, try GUVI’s AWS Infrastructure for Beginners certification course.

2. Docker

Docker is a platform that enables developers to automate the deployment of applications inside lightweight, portable containers. Containers are a form of virtualization that packages an application and its dependencies together, ensuring consistency across various environments.

Features of Docker:

1. Containerization
2. Isolation
3. Portability
4. Efficiency
5. Versioning and Rollbacks
6. Docker Hub
7. Docker Compose

3. Kubernetes

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It provides a robust framework for running and coordinating containerized workloads across a cluster of machines.

Features of Kubernetes:

1. Container Orchestration
2. Automated Scaling
3. Service Discovery and Load Balancing
4. Self-healing
5. Rolling Updates and Rollbacks
6. Declarative Configuration
7. Multi-cloud and Hybrid Cloud Support

4. Git

Git is a distributed version control system widely used in software development for tracking changes in source code during the development process. Git tracks change in source code over time, allowing developers to work collaboratively and maintain a history of changes.

Features of Git:

1. Version Control
2. Distributed System
3. Commits
4. Branches
5. Merging
6. Remote Repositories

5. Ansible

Ansible, the Configuration Management Virtuoso, automates configuration management, application deployment, and task automation. Its agentless architecture and simple syntax make it a go-to tool among DevOps tools for managing infrastructure as code, providing a seamless experience for DevOps teams.

Features of Ansible:

1. Agentless Architecture
2. Simple YAML Syntax
3. Declarative Language
4. Idempotence
5. Parallel Execution
6. Extensibility
7. Inventory Management

6. Terraform

Terraform is an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. With its declarative configuration files, Terraform allows teams to define and provision infrastructure effortlessly, bringing agility to infrastructure management.

Features of Terraform:

1. Infrastructure as Code (IaC)
2. Declarative Configuration Language
3. Multi-Cloud Provisioning
4. Resource Graph
5. Execution Plans
6. State Management

7. Prometheus

Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It is widely used in the field of cloud-native and containerized applications. This open-source toolkit scrapes and stores time-series data, offering insights into application performance and infrastructure health.

Features of Prometheus:

1. Time-Series Data Model
2. Pull-Based Model
3. Multi-Dimensional Data Model
4. Powerful Query Language (PromQL)
5. Service Discovery

8. Grafana

Grafana is an open-source analytics and monitoring platform that integrates with various data sources to provide powerful and customizable dashboards, charts, and alerts. Originally designed for visualizing time-series data, Grafana has evolved into a versatile tool for creating interactive and shareable dashboards.

Features of Grafana:

1. Data Source Agnostic
2. Dashboard Creation
3. Plugins and Extensions
4. Alerting and Notifications
5. Templating
6. Annotations

9. Jira

Jira is a widely used project management and issue-tracking tool developed by Atlassian. It provides a flexible and customizable platform for teams to plan, track, and manage their work efficiently. DevOps teams leverage its features for issue tracking, project management, and seamless collaboration, streamlining workflows and enhancing productivity.

Features of Jira:

1. Issue Tracking
2. Customizable Workflows
3. Project Management
4. Agile Support
5. Custom Fields and Screens
6. Dashboards and Reporting

Learn More: Do You Know The DevOps Syllabus? [Updated 2024]

10. Splunk

Splunk is a powerful and widely used platform for searching, monitoring, and analyzing machine-generated data. It is designed to process and visualize data from various sources, providing insights into system and application performance, security events, and business analytics.

Features of Splunk:

1. Data Collection
2. Search and Analysis
3. Real-Time Monitoring
4. Dashboards and Visualization
5. Indexes and Data Retention
6. Field Extractions and Transformations

Kickstart your career by enrolling in GUVI’s DevOps Career Program where you will master technologies including Linux, Git, AWS, etc, and build interesting real-life devops projects.

Alternatively, if you want to explore AWS infrastructure through a Self-paced course, try GUVI’s AWS Infrastructure for Beginners certification course.

Wrapping Up

Mastering these DevOps tools in 2024 is not merely a choice but a strategic necessity for staying ahead in the competitive software development landscape. Whether it’s automation, containerization, or monitoring, each tool plays a pivotal role in crafting a robust and efficient DevOps pipeline. As we navigate the complexities of modern development, these DevOps tools stand as pillars, supporting innovation and driving success.

Also Read: What to learn to become a DevOps engineer?

FAQs

Q1. Which tools are best for DevOps?

Ans. Some of the best DevOps tools are:

1. Ansible
2. Docker
3. Kubernetes
4. Jenkins
5. Git

Q2. Is Kubernetes a DevOps tool?

Ans. Kubernetes is the most popular container orchestration platform, and has become an essential tool for DevOps teams. Application teams can now deploy containerized applications to Kubernetes clusters, which can run either on-premises or in a cloud environment.

Q3. Which DevOps tool is in demand?

Ans. The DevOps tool which is in demand are:

Jenkins
Ansible
Chef
Gradle
Git
Nagios

Q4. What role does Puppet play in the DevOps toolchain?

Ans. Puppet, the Configuration Automation Maestro, specializes in automating the configuration and management of IT infrastructure. With its declarative language and agent-based architecture, Puppet ensures consistency and efficiency in diverse environments.