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Datadog on Data Science

In this episode we'll visit the world of predictive analytics and machine learning and uncover how these cutting-edge technologies are transforming the way Datadog monitors and improves its services. We’ll focus our conversation on two key aspects: using advanced statistical methods for proactive monitoring and the strategic implementation of machine learning for algorithm enhancement.

Apache Spark at Scale #datadog #shorts #security #observability

Datadog is an observability and security platform that ingests and processes tens of trillions of data points per day, coming from more than 22,000 customers. Processing that amount of data in a reasonable time stretches the limits of well known data engines like Apache Spark. In addition to scale, Datadog infrastructure is multi-cloud on Kubernetes and the data engineering platform is used by different engineering teams, so having a good set of abstractions to make running Spark jobs easier is critical.

How Complyt is using Datadog APM and distributed tracing to reduce application response times

Learn how Complyt is using Datadog Application Performance Monitoring (APM) and distributed tracing to turn data into knowledge and reduce application response times by more than 80%, which enabled them to meet SLAs for their largest customers.

How Complyt used Datadog's Cloud Cost Management to reduce their cloud spend

Learn how the team at Complyt was able to integrate Cloud Cost Managament in a matter of hours and quickly pinpoint underutilized services to cut their cloud spend in half. CCM delivers cost data where engineers work and with resource-level context like CPU, memory, and requests — easily scoped to their services and applications — so that they can take action and spend effectively.

Why ngrok Prioritized a Datadog Integration for Streamlined Monitoring of HTTP Events

ngrok delivers instant ingress to your applications in any cloud, private network, or devices with authentication, load balancing, and other critical controls using their global points of presence. Hear from Chad Tindel, Field CTO & VP WW Solution Architecture, on why Datadog was their most requested integration and how it provides an easy pathway to ship application and traffic logs into one unified observability platform.

Datadog Conversations: Toyota's Shift to Software-First Mobility

As the world’s largest automotive manufacturer and the leading software-first mobility company, Toyota leans on Datadog to achieve its goals of delivering value to customers and uplifting employees with new technologies and processes. Jason Ballard, IT Executive and General Manager, shares his top priorities for the enterprise in North America and offers his advice for how other leaders in the industry can transform their business.

Datadog on Kubernetes Autoscaling

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. Also, this infrastructure is used by a wide variety of engineering teams at Datadog, with different features and capacity needs that may also change overtime.

This Month in Datadog: Dynamic Instrumentation, Log Pipeline Scanner, Network Device map, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we put the Spotlight on Dynamic Instrumentation..