Monitor OCI spend, AI in DDSQL Editor, OTLP Metrics API, and more | This Month in Datadog

See how you can gain insights into cloud costs by tracking OCI spend and easily comparing instance types in October’s episode of This Month in Datadog.

Join us for a spotlight of Cloud Cost Management’s support for Oracle Cloud Infrastructure, and the product’s new feature, Instance Explorer, which enables you to visualize and easily compare the cost and performance of instances across AWS, Azure, and Google Cloud.

Plus, we cover:
Using AI to query with natural language in DDSQL Editor
Ensuring teams are informed during outages with External Provider Status and Status Pages
Mitigating the impact of problematic tests with Flaky Tests Management
Ingesting OTLP metrics from serverless and third-party SaaS environments with OTLP Metrics API

This Month in Datadog brings you the latest updates on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit https://www.datadoghq.com/

YouTube Chapters:

00:00 Introduction

00:12 This Month in Datadog

00:58 Datadog’s ecosystem of 1,000 integrations

01:54 New Feature: AI in DDSQL Editor

02:32 New Feature: External Provider Status and Status Pages

04:00 New Feature: Flaky Test Management

04:40 New Feature: OTLP Metrics API

05:05 New Features Roundup

05:23 Spotlight: Instance Explorer and Cloud Cost Management’s support of OCI

YouTube Links:
Subscribe to our newsletter: https://www.datadoghq.com/subscriptions/
Read the latest release notes: https://app.datadoghq.com/release-notes
Instance Explorer. Link to come when site is live
Manage and optimize your OCI costs with Datadog Cloud Cost Management blog: https://www.datadoghq.com/blog/cloud-cost-management-oci/
Query with natural language in DDSQL Editor release note: https://app.datadoghq.com/release-notes/query-with-natural-language-in-ddsql-editor
Keep stakeholders informed with Datadog Status Pages blog: https://www.datadoghq.com/blog/status-pages/
Detect and map third-party outages with Datadog External Provider Status blog: https://www.datadoghq.com/blog/external-provider-status/
Introducing Updog.ai: Real-time provider status from Datadog blog: https://www.datadoghq.com/blog/updog-ai/
Track, triage, and suppress flaky tests with Flaky Test Management release note: https://app.datadoghq.com/release-notes/track-triage-and-suppress-flaky-tests-with-flaky-test-management
Ingest OTLP metrics directly into Datadog with the new OTLP Metrics API blog: https://www.datadoghq.com/blog/otlp-metrics-api/
Scaling Datadog observability: 1,000 integrations and counting blog post: https://www.datadoghq.com/blog/1k-integrations-milestone/
Create and monitor LLM experiments with Datadog blog post: https://www.datadoghq.com/blog/llm-experiments/
Expedite Mobile Test troubleshooting with Video Replay release note: https://demo.datadoghq.com/release-notes/expedite-mobile-test-troubleshooting-with-video-replay
Enrich your queries by joining Reference Tables with Metrics, Logs, RUM, and more release note: https://demo.datadoghq.com/release-notes/enrich-your-queries-by-joining-reference-tables-with-metrics-logs-rum-and-more
Security and SRE: How Datadog's combined approach aims to tackle security and reliability challenges blog:
https://www.datadoghq.com/blog/datadogs-approach-sre-security/#structuring-our-organization-for-sre-and-security
Security and SRE: How we implemented our combined approach blog: https://www.datadoghq.com/blog/sre-security-lessons-learned/
Aligning SRE and security for better incident response blog: https://www.datadoghq.com/blog/sre-security-incident-management/