Are you looking for solutions to increase your DevOps team productivity? You've come to the right place!
In this blog, we’ve listed the top 10 software development tools (without any specific order) that are designed to help developers thrive.
From web-based version control tools to cloud computing platforms, we've covered 10 great solutions and how they help to boost efficiency among your engineers.
Take a deep breath, and let's begin!
GitHub - GitHub is a web-based platform that allows teams to collaborate on software projects. It provides version control, issue tracking, and project management features. With GitHub, teams can work on code simultaneously, share code snippets, and track changes. Additionally, GitHub offers robust CI/CD capabilities that enable teams to automate their software development process from code commit to deployment.
For instance, a team can use GitHub Actions to create a continuous integration workflow that automatically builds and tests their code every time a commit is made to the repository. They can then create a continuous delivery workflow that automatically deploys their code to a staging environment for testing. Finally, they can build a continuous deployment workflow that automatically deploys their code to production once it passes all tests. This allows for faster, more reliable software releases and increased engineering productivity.
Your team can also track issues and bugs in their software development process. They can create issues, assign them to team members, and track their progress in GitHub. This helps to ensure that all team members are on the same page and that work is not duplicated.
GitLab is another web-based platform that provides version control and project management features. It also includes continuous integration and deployment features. GitLab allows teams to automate their software development pipeline, from testing to deployment.
Your team can use GitLab to set up a continuous integration pipeline. This pipeline will automatically run tests on the code whenever changes are made and deploy the code to a staging environment for further testing. This helps to catch bugs early in the development process and ensures that code is continuously tested and deployed.
Jira is a project management tool that allows teams to plan, track, and manage their work. It provides a flexible and customizable framework for managing projects. Jira includes features such as issue tracking, agile boards, and project management reports.
Your team can plan and track their software development projects with Jira. They can create user stories, assign them to team members, and follow their progress on a Kanban or Sprint board. This helps to ensure that work is completed on time and that team members are working on the most critical tasks.
PagerDuty is an incident management tool that helps teams to respond quickly to incidents. It provides real-time alerting, on-call scheduling, and incident response automation.
Your team can use PagerDuty to set up on-call schedules for their team members. This ensures the team can respond quickly to incidents, even outside business hours. PagerDuty can also automatically escalate incidents to the appropriate team members, ensuring that incidents are resolved quickly and efficiently.
Bitbucket is a web-based version control repository hosting service. It provides features such as code collaboration, pull requests, and code reviews. In addition to these features, Bitbucket offers robust CI/CD capabilities through its integration with the Atlassian suite of products.
With Bitbucket Pipelines, teams can automate their software development process from code commit to deployment. They can create custom pipelines that build, test and deploy their code to various environments, helping to reduce manual processes and increase engineering productivity.
Your team can also use Bitbucket to collaborate on code and review changes. They can create pull requests, assign reviewers, and discuss changes in line. This helps to ensure that changes are thoroughly reviewed and that code quality is maintained.
Actioner is a no-code app-building platform. It allows you to build Slack bots on your own.
It also has an app directory full of DevOps apps ready to use in Slack, tailored for the tools listed above. Through flawless automation and integration of Slack and your software development tools, you can run your operations.
DevOps teams can convert GitHub workflows into ready-to-run workflows in Slack. If your team uses Bitbucket, you can get updates on pipeline status while communicating through Slack. GitLab users can easily collaborate on merge requests in ephemeral Slack channels. You can track and manage your tasks on Jira, log work, or expand your issue status without leaving Slack. DevOps teams using Actioner keep context and communication in Slack and don’t have to switch to another tool just to grab a piece of information and deliver software faster with increased productivity.
Amazon Web Services (AWS) is a cloud computing platform that provides a wide range of services, including compute, storage, databases, analytics, machine learning, and more. DevOps teams can use AWS to deploy and manage their applications, infrastructure, and services in a highly scalable and reliable manner. By using AWS, you can increase engineering productivity by reducing the time and effort required to provision and manage infrastructure.
For example, you can use AWS Elastic Beanstalk to deploy and manage your web applications without having to worry about the underlying infrastructure. It automatically handles the deployment, scaling, and monitoring of your application, allowing you to focus on your code. You can also use AWS Lambda to run your code in response to events, without having to provision or manage servers. This allows you to build highly scalable and event-driven applications quickly and easily.
Microsoft Azure is another cloud computing platform that provides similar services to AWS, including compute, storage, databases, and more. DevOps teams can use Azure to build, deploy, and manage their applications and services in the cloud. By using Azure, you can increase engineering productivity by reducing the time and effort required to manage infrastructure and services.
Developers use Azure DevOps to manage your entire software development lifecycle, from planning to deployment. Azure DevOps includes features such as agile boards, version control, continuous integration/continuous deployment (CI/CD), and more. You can also use Azure Functions to run your code in response to events, similar to AWS Lambda. Azure Functions allows you to build event-driven applications quickly and easily, without having to manage servers or infrastructure.
Google Cloud Platform (GCP) is a cloud computing platform that provides similar services to AWS and Azure, including compute, storage, databases, and more. DevOps teams can use GCP to build, deploy, and manage their applications and services in the cloud. By using GCP, you can increase engineering productivity by taking advantage of Google's expertise in data analytics and machine learning.
For example, you can use Google Kubernetes Engine (GKE) to deploy and manage your containerized applications in a highly scalable and reliable manner. GKE is a managed Kubernetes service that automates the provisioning, scaling, and management of your Kubernetes clusters. You can also use Google Cloud Functions to run your code in response to events, similar to AWS Lambda and Azure Functions. It allows you to build event-driven applications quickly and easily, without having to manage servers or infrastructure.
Datadog is a monitoring and analytics platform that allows you to monitor your applications, infrastructure, and services in real-time. DevOps teams can use Datadog to gain insights into the performance and health of their systems and to detect and diagnose issues quickly. Using Datadog, you can increase engineering productivity by reducing the time and effort required to monitor and troubleshoot your systems.
Datadog is used to monitor the health and performance of Kubernetes clusters, Docker containers, and AWS Lambda functions by DevOps teams. Datadog provides integrations with a wide range of technologies, including AWS, Azure, and Google Cloud Platform, allowing you to monitor your entire stack in one place. You can also use Datadog to create custom dashboards and alerts, allowing you to quickly identify and address issues before they impact your users.
Snyk is a security platform that allows you to manage and monitor the security of your open-source dependencies. DevOps teams can use Snyk to identify and remediate vulnerabilities in their code and to ensure that their systems are secure. By using Snyk, you can increase engineering productivity by reducing the time and effort required to manage and monitor security.
For example, you can use Snyk to integrate security into your DevOps workflow. Snyk can automatically scan your codebase and identify any vulnerabilities in your open-source dependencies, allowing you to remediate them before they become a problem. Snyk can also integrate with your existing CI/CD pipeline, allowing you to detect and fix vulnerabilities before they make it into production. Additionally, Synk provides detailed reports and alerts, allowing you to track the security of your codebase over time and to identify any areas that need improvement. By using Snyk, you can ensure that your code is secure and that your users' data is protected.
Conclusion
We’ve talked about the top 11 software tools that increase the productivity of engineering teams.
Which ones do you use, or do you have a favorite one?
Is there another tool you think we should include on this list?
Let’s join our Slack community and share your thoughts and favorite tools!
Blog
