See inside any stack, any app, at any scale, anywhere.
Datadog is designed to assist IT professionals, developers as well as other application specialists to scrutinize the performance of their applications, tools and services, collect data from different sources and convert them into detailed and dependable insights. From there, users are able to create strong strategies for their applications and tools, build better applications, and improve their services. Datadog is pre-integrated with leading third-party business applications and integration, allowing uninterrupted workflow for several users in spite of platform, location and language.
Beginning with Datadog includes the creation of an account first, then installing and configuring a software agent. Developer agents are available for a number of platforms, including Microsoft Windows 10, , Apple Mac OS X, Debian, Ubuntu, Fedora, CoreOS, Docker, Chef, Puppet and much more. The windows Agent entail the download and startup of the installer.
Datadog gives instructions to make use of the command line to run the installation program and give the API key connected to your account, even though the MSI file will be run to request for the API key. Once the agent is installed and linked back to your Datadog account, you can sign into your account and start monitoring.
Merely installing an agent does not get much when it comes to functionality. Only one agent can be utilized to track several devices, services, and applications on your network, but a large configuration must occur before this happens. In addition, Datadog Agent Manager effectiveness grants right to use the configuration files for a variety of monitoring functions, including Windows, SQL Server, IIS, vSphere, Apache, and some other services. The level of attempt involved in configuring each of these services apparently depends on the service, but in most cases, it only involves the configuration of the connection and credential information.
With Datadag, users can link and evaluate measurements and other data from all applications and services, and information from Amazon, EC2, Web Server, StatsD, SQL as well as NoSQL databases. They can simplify the analysis of information and other related processes; for instance, graphics display and measuring in seconds, and not minutes. They are capable of configuring data filtration setup to collect only the required statistical data.
In addition, they can customize the system to send warnings or notifications about certain problems that require only your instant awareness. They can focus on the accurate code configurations, important updates, as well as scheduled operations. And wide collaboration features allow you and your team to work side by side and provide feedback and notes for a productive session.
Datadog is able to track and alert several sources categories, each of which has various levels of detail. Depending on what you are monitoring, Datadog can put together performance data metrics, log files, configuration, availability and change tracking, as well as a large amount of additional information. Monitors pointing to data points that create large amounts of data, such as Event Logs in Windows or SNMP logs, can focus on many criteria, limiting the controlled data to significant events.
Alerting is one of the most significant features of a monitoring tool, and Datadog does not disappoint in this department. Datadog alert can be configured on a device or on various similar devices, and can also be made active based on the threshold; for example, up to 80% storage capacity or five unsuccessful attempts to log in occurring within one hour. Security on your alerts can be managed as well, which means that you can configure Datadog to alert you if you change the alert configuration or restrict changes to the chosen user group.
Once the systems are being organized, you can configure what you want to see and how you want to see it. The portal page has a header bar with sections that can be clicked, and the rest of the screen displays the details of the selected section. So you begin with the Events that can be filtered based on source, event priority, and event status. Furthermore, you can keep an eye on the process status, though you may possibly need to add an additional configuration to the agent on the hosts whose processes you want to track. Network service checks validate both HTTP or custom-defined network services (in general, an agent configuration tweaking is required).
Another important strength of Datadog is the level of integration and customization that users can reach. End users can benefit from more than 100 integrated open source software integrations, cloud services, business applications, and standards management tools. These integration plugins allow you to monitor code changes, monitor administrative procedures, review physical device or application performance, or even facilitate communication in the most appropriate way for your business. For more advanced users or service providers, Datadog offers a variety of application cases for its APIs with the use of JSON. Developers can send events to Datadog using a client library (official libraries are compatible with C #, Go, Python, and Ruby, but there are also community libraries).
The Datadog Agent is software that works on your host. Its work is to authentically collect events and metrics and submit them to Datadog on your behalf so that you can do something valuable with tracking and performance data.
No, it’s not. One does not need to install an agent if one just wants to submit statistics via the API.
Every StatsD client will work perfectly well, but making use of the Datadog DogStatsD client will provide you with some additional features.
A hostname can be changed by merely upgrading your the configuration file your agent named datadog.conf and replacing the "hostname" key value. Use the link that follows, choose your operating system in the left column, and go to the Configuration section to search for the location of your agent's configuration file.
Tags have to start with a letter, and then they may include alphanumeric characters, subwoofers, minus signs, colons, dots, as well as strips. Other characters will become weak scripts. Tags can contain up to 200 characters and are compatible with Unicode. Tags will also be case-insensitive.
(We're SaaS experts, and would love to help you out)
Blissfully automatically uncovers Datadog usage across your entire company, as well as all other SaaS products, helping you save money, improve security, and simplify operations.