Operations | Monitoring | ITSM | DevOps | Cloud

datadog

Monitor BigQuery with Datadog

Jan 23, 2024 By Sriram Raman In Datadog
BigQuery is Google Cloud Platform’s fully managed serverless data warehouse. It enables data analysis and storage at petabyte scale while eliminating the overhead of managing infrastructure. As a managed service, BigQuery autoscales and provisions compute resources and storage as needed, helping you reduce the overhead of managing infrastructure but also reducing your visibility into performance. And BigQuery users face other challenges when it comes to visibility.
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Monitor Oracle managed databases with Datadog DBM

Jan 22, 2024 By Nicholas Thomson In Datadog
Datadog Database Monitoring (DBM), which provides host-level and query performance metrics and insights for PostgreSQL, MySQL, and SQL Server, is now available for Oracle. Oracle is one of the most common database types, and now teams that operate Oracle databases can use Datadog to monitor these resources alongside telemetry from across their environments.
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Datadog on Design Systems

Jan 17, 2024 By Datadog In Datadog
Over the last five years, the Datadog platform has grown. We added Application Performance Monitoring to complement our core infrastructure monitoring product, Log Management, Synthetic and Real User Monitoring, and more. For an enterprise software platform to be successful, the whole has to be greater than the sum of its parts. In Datadog’s case, this means users must be able to connect different types of data, pivot seamlessly from one context to another, and follow the thread of an investigation wherever it might lead.
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Transform Your Customer Experience with DevOps Collaboration

Jan 12, 2024 By Datadog In Datadog
Learn how end-to-end monitoring and observability enable enterprises to break down team silos and deliver industry-leading experiences for their customers and achieve business benefits such as: Improved business resilience by identifying and resolving IT risks faster before they result in customer service outages Increased competitive standing with DevOps and shift-left best practices to accelerate software releases.
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Scaling Down Kubernetes Clusters

Jan 11, 2024 By Datadog In Datadog
Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.
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Provisioning and Autoscaling

Jan 10, 2024 By Datadog In Datadog
Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.
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Simplify customer support with Datadog's integrations for Zendesk

Jan 5, 2024 By Abril Loya McCloud In Datadog

Zendesk provides support teams with an integrated solution for processing all types of customer inquiries and feedback. But as organizations scale, support tickets multiply, making it increasingly difficult to parse all of your customers’ feedback and time-consuming to investigate issues. Customers often report issues without providing the detailed context needed for troubleshooting, creating unclear and indirect paths to remediation.

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Paving the Road for Proactive Reliability

Jan 5, 2024 By Datadog In Datadog
At Expedia Group, Kaushik Patel and Nikos Katirtzis have thousands of engineers and micro-services. Heterogeneity in terms of infrastructure and technologies used over the years created inefficiencies and posed the need for a set of automated best practices for our engineering teams. Over the past 2 years, using a data-driven approach, we’ve worked on creating a set of platforms that helps teams to adopt good reliability practices, including chaos engineering, release safety, or automatic failover between cloud regions. In this talk Kaushik and Nikos will cover the platforms they’ve built, including how they used data to drive their investment decisions.
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