惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Y
Y Combinator Blog
V
V2EX
Jina AI
Jina AI
爱范儿
爱范儿
M
MIT News - Artificial intelligence
量子位
L
LangChain Blog
Google DeepMind News
Google DeepMind News
酷 壳 – CoolShell
酷 壳 – CoolShell
罗磊的独立博客
腾讯CDC
MongoDB | Blog
MongoDB | Blog
P
Proofpoint News Feed
宝玉的分享
宝玉的分享
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Last Week in AI
Last Week in AI
H
Hackread – Cybersecurity News, Data Breaches, AI and More
F
Fortinet All Blogs
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
博客园 - 聂微东
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Vercel News
Vercel News
T
The Blog of Author Tim Ferriss

Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Datadog's commitment to OpenTelemetry and the open source...
2023-01-31 · via Datadog | The Monitor blog

The OpenTelemetry (OTel) project is an open source initiative with the goal of providing vendor-neutral standards and tools that enable users to collect telemetry from any source in their environment and send it to any backend. A core tenet of Datadog is to provide a single, unified platform for customers to easily collect and monitor all of their observability data, regardless of where it comes from. From the start, OTel’s value proposition has generated a lot of excitement and support at Datadog.

We also see our excitement for a universal, open source telemetry standard reflected in our customers and the community, as use of OTel has increased rapidly. Our goal is for Datadog to be the best observability platform for OpenTelemetry. We contributed the original instrumentation libraries to the project and are working hard to continue improving Datadog’s support for OTel and the broader open source observability community. In this post, we’ll outline some of the recent efforts we’ve made to provide a first-class product and customer experience for OTel users, and then look at some of the investments currently underway.

Over the past six months, we’ve built a dedicated team to develop Datadog’s support for OpenTelemetry. Since then, we have:

  • Announced general availability for the Datadog Exporter for the OpenTelemetry Collector, which has stable support for OTLP traces and metrics and alpha support for logs.
  • Announced general availability of OTLP ingest in the Datadog Agent, enabling Datadog customers to use OTel SDKs while benefiting from the Datadog Agent’s ecosystem of integrations.
  • Released the Datadog Processor for the OpenTelemetry Collector, providing accurate trace metrics for OTel users.
  • Rolled out W3C trace context support to almost all Datadog APM tracers (with the rest on the way), allowing Datadog and OpenTelemetry instrumentation to collaborate in a mixed environment.
  • Added support for the OpenTelemetry Collector Host Metrics receiver, with plans to continue expanding our infrastructure monitoring support for OTel users.
  • Improved our support for OTel histograms through data quality and visualization improvements.
  • Enabled seamless integration between Datadog RUM and OTel-instrumented backends.

In addition to these, we are currently preparing to roll out:

  • Support for OTel runtime metrics.
  • Additional improvements to our OTel product and feature support that are under active development, such as 128-bit trace IDs and support for the OpenTelemetry API in Datadog tracers.

In addition to building OTel support into the platform, Datadog will continue developing our own instrumentation and innovating across the observability space with products such as App and API Protection, Dynamic Instrumentation, our Continuous Profiler, and Data Streams Monitoring. However, we will also continue investing heavily in the interoperability and accessibility of these products for OpenTelemetry users. This means continuing to provide easy and stable on-ramps for our customers exploring and investing in OTel for their instrumentation needs.

Finally, our support for OpenTelemetry doesn’t stop where our product does. From its start, we have been actively engaged with the OpenTelemetry community. We will continue to ramp up that engagement and contribute back upstream to help improve the project for everyone. Beyond OpenTelemetry, Datadog is committed to open source and open standards. We have consistently looked for ways that we can give back to the community, from releasing projects including Stratus Red Team and glommio, to our Datadog for open source program, to our upstream contributions across the ecosystems we participate in.

We believe OTel will play a large role in the future of observability. We are excited to continue working with the community to help develop the project and make sure Datadog customers can take advantage of the full value that OTel provides.

Update February 2, 2023

Update from Abhishek Singh, VP of Product, APM

The initial intent of this post was to provide an update on the work being done by the Datadog OpenTelemetry team. It’s become clear this post has been interpreted as a response to a recent GitHub pull request. Given that, I’d like to reaffirm that Datadog is committed to supporting OpenTelemetry. As part of that commitment, we’ll continue to improve our communication within the ecosystem. As our OTel roadmap evolved based on customer feedback, we should have closed the loop in the receiver pull request. We apologize for not doing this. As a matter of policy, we will never attempt to compel a community member to withdraw a code contribution. This applies not just to OpenTelemetry but to any and all open source ecosystems we participate in.

While we are not able to officially support the receiver, it is for the community to decide what gets merged, not us. We are excited about the future of OTel, and you can expect more regular updates from us in the future.