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On This Month in Datadog, we’re recapping DASH 2024. Tune in for keynote highlights, including LLM Observability, Kubernetes Autoscaling, and Log Workspaces, which enables you to parse, enrich, and analyze log data from multiple sources. Watch now:

Danny Dai

if you're not willing to sacrifice for your goal, your goal will become your sacrifice.

2mo

looks good. i'm looking into datadog recently. Datadog is glue that connects dev and ops teams. What an amazing field! btw what languages/dev tools does datadog need to build custom integration/custom metrics or/and custom tracking/correlation? Go/C , Cpython and c extensions, or node with C++ addons? it totally depends on interaction efficiency and dev friendliness. I might learn GO from now. hahah.

Gia B.

Cybersecurity Consultant | Governance | Risk Management | Compliance | Strategy | RMF | FedRamp | Cloud Security | IAM | Veteran | Awarded Excellence in Cybersecurity

2mo

Very interesting. I’m looking forward to learning more.

Dan L.

🔹 Founder & Sales Director at Intent Media Labs 🔹 Ultimately, successful content marketing isn’t just about being noticed but being remembered🔹@intentmedialabs.com🔹

2mo

Great recap of DASH 2024! The focus on LLM Observability is essential as AI systems become more complex. Kubernetes Autoscaling offers much-needed efficiency for resource management. Log Workspaces streamline multi-source data analysis, enhancing operational clarity.

Trisha Gouveia

Leader in marketing, events and field marketing | BA in Advertising

2mo

Awesome DASH 2024 recap! I'm excited about LLM Observability and the future of AI overall. I seriously love the monthly recaps. They're a great vehicle for the community.

Lily Chang

Experienced Business, DEI and Engineering / Technology leader across industry segments.

2mo

Such a beautiful impactful act for profit donation to great causes!! Excellent recap summary - nice innovative portfolio offers!

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Yanbing Li

Chief Product Officer at Datadog

2mo

Great recap!

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