Operations | Monitoring | ITSM | DevOps | Cloud

datadog

Create ServiceNow tickets from Datadog alerts

Nov 7, 2024 By Bowen Chen In Datadog
ServiceNow is a popular IT service management platform for recording, tracking, and managing a company’s enterprise-level IT processes in a single location. In addition to helping you manage your ServiceNow CMDB, Datadog also integrates with ServiceNow IT Operations Management (ITOM) and IT Service Management (ITSM), enabling you to automatically create and manage ServiceNow incidents and events from the Datadog platform.
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How we use Scorecards to define and communicate best practices at scale

Nov 5, 2024 By Elise Burke In Datadog
In modern, distributed applications, shared standards for performance and reliability are key to maintaining a healthy production environment and providing a dependable user experience. But establishing and maintaining these standards at scale can be a challenge: when you have hundreds or thousands of services overseen by a wide range of teams, there are no one-size-fits-all solutions. How do you determine effective best practices in such a complex environment?
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Datadog on Building Reliable Distributed Applications Using Temporal

Nov 5, 2024 By Datadog In Datadog
Temporal is an open source platform to build resilient and reliable distributed systems. Datadog started using Temporal in 2020 as the foundation for our internal software delivery platform. Since then, its usage has been widely adopted as a platform that any engineering team can use to build their systems. In this Datadog on episode, Ara Pulido chats with Loïc Minaudier, Senior Software Engineer in the Atlas team, responsible for providing a developer platform on top of Temporal, and Allen George, Engineering Manager in the Datadog Workflows team.
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Introducing the Datadog Architecture Center

Nov 4, 2024 By David M. Lentz In Datadog
To prevent visibility gaps in your cloud environment, you need to efficiently deploy observability solutions that integrate easily with key technologies in your stack and scale reliably with new applications and migrated workloads. But observability deployments can be complex, often requiring deep and specific knowledge that may not be available within your teams.
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Track and troubleshoot MongoDB performance with Datadog Database Monitoring

Nov 4, 2024 By Casey Culligan In Datadog
Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.
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Ensure high service availability with Datadog Service Management

Nov 1, 2024 By Addie Beach In Datadog
Adopting a cloud-based, distributed architecture may help your organization scale quickly, but it can also add complexity. Correlating telemetry, security signals, and alerts across services often proves difficult, resulting in slower issue remediation. Additionally, when something goes wrong, figuring out who to contact—for example, the on-call responder or the service owner— may become needlessly time-consuming.
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Best practices for monitoring cloud costs with Datadog Scorecards

Oct 31, 2024 By Amrita Lakhanpal In Datadog
To ensure that your organization’s cloud spend is efficient, you need detailed and granular visibility to understand what comprises your costs, what causes them to change, and how the cloud services and resources you use are enabling your business goals. Extending your visibility and more closely monitoring your cloud costs can position you to successfully adopt FinOps, which provides a framework that can help you maximize the value you get from your cloud spend.
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Detect issues, manage incidents, and streamline workflows with Datadog's Microsoft Teams integration

Oct 31, 2024 By Mohammad Jama In Datadog
Microsoft Teams is deeply embedded in many organizations’ workflows, acting as a hub to both communicate and collect information about issues and ongoing projects. However, as with most communication platforms, it can be challenging to context-switch between conversations, tickets, and monitoring data when troubleshooting collaboratively.
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