DevOp Management Tools
Below is a list of DevOps tools that help you manage your servers and deploy applications much more efficiently.
The Opbeat service lets developers automatically track route changes and interactions to make their applications run faster by getting info about resources slow done the app performance. Their agent profiles SQL queries, MongoDB, redis, external http requests and custom transactions to make sure Node.js endpoints do not slow down an app.
GitHub is a development platform designed to host and review programming code. It offers collaboration, project management, and developer tools for coding open source and business software. Access control and code security features are available.
The Logit platform provides ELK as a service for complete log management. It is used across public & private sectors by IT leaders. The platform is home to many free resources, with integration guides & configuration examples that can be used by everyone from research students to seasoned DevOps professionals.
Bitbucket is a scalable Git solution featuring distributed version control system. Bitbucket free cloud repository is available for teams of up to five developers. Their system has branch permissions and granular permissions on project, repository, or branch level. Free desktop client.
Keen IO is an event data platform providing APIs for capturing, analyzing, and embedding event data into applications. It offers role-based data access for app users and customers and processes data in real time. It replaces big data infrastructure with a custom analytics stack.
Coveralls is free for open source repositories providing developers with tools to check which parts of their source code are not covered by their test suite. They let developers inspect every detail of the coverage with unlimited history.
Searchcode is an online tool to find source code from multiple sources. Developers can find real examples of functions, APIs, and libraries. The service covers more than 90 languages and 7 million projects.
Loggly is a unified log analysis and log monitoring tool that is able to analyze metrics from multiple sources. Their proactive monitoring functionality enables tracing of issues while allowing for sharing of any findings. Loggly integrates with apps such as Slack, HipChat, GitHub, and Jira.
Chef enables organizations to use DSL to define infrastructure as code. It eliminates the need for manual patching, configuration updates, and service installations for every single server. Their platform enables administrators to can customize behavior for different environments, datacenters, or hardware profiles and uses a framework for creation of completely new custom resources.
Docker is a platform to optimize existing apps by the means of containerization on hybrid clouds. It proactively mitigates security risks and monitors for vulnerabilities across your applications.
Jenkins is an open source automation server that supports multiple plugins for project development, deployment, and automation. Their distributed system runs on Windows, Mac OS X and other Unix-like operating systems. Developers can use it as a simple CI server or a as a continuous delivery hub.
Logstash is an open source platform that collects data from multiple sources simultaneously and sends it to a “stash” after the data undergoes transformation. It is a server-side data processing pipeline that can process logs, metrics, web applications, data stores, and various AWS services. Their framework features over 200 plugins and offers an API for custom plugin development.
Vagrant is a development environment where you take advantage of a declarative configuration file that describes all your software requirements, packages, operating system configuration, users, and other variables. They mirror production environments and integrate with your existing configuration management tools such as Chef, Puppet, Ansible, or Salt.
Splunk’s scalable solution provides tools for connecting your machine data and assess business risks and opportunities. They offer packaged and custom machine learning and offer tools for predicting service-level degradation before it occurs.
Gradle enables developers to write code in multiple languages and package it for deployment on any platform. Automation is provided through their API and an extended ecosystem of plugins and integrations. Developers can choose between monorepo and multi-repo deployments.
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