Anthropic is Down
https://updog.ai/status/anthropic
#ycombinator #Anthropic #datadog #outage #degradation #real_time
#Datadog
📢 Datadog publie IDE‑SHEPHERD, un bouclier temps réel contre les extensions malveillantes dans VS Code et Cursor
📝 Selon Datadog (billet technique signé par la chercheuse Tesnim Hamdouni),...
📖 cyberveille : https://cyberveille.ch/posts/2026-01-29-datadog-publie-ide-shepherd-un-bouclier-temps-reel-contre-les-extensions-malveillantes-dans-vs-code-et-cursor/
🌐 source : https://securitylabs.datadoghq.com/articles/ide-shepherd-release-article/
#Datadog #IDE_SHEPHERD #Cyberveille
Hot off the press! #Dynatrace customers and industry analysts react to the acquisition of #DevCycle this week.
The combination boosts users' direct control over software rollouts, but it's far from the only newly diversified tool available for shops looking to consolidate. https://www.techtarget.com/searchitoperations/news/366637355/Dynatrace-DevCycle-buy-continues-observability-consolidation
#Dynatrace #Snowflake #observeinc #o11y #observability #featureflagging #featuremanagement #OpenFeature #Datadog #devops #softwaredevelopment #softwaredelivery #enterprisetech #AIOps
Datadog US1 is experiencing a major outage. Are you having problems with Datadog US1? #datadog #datadogdown
https://isdown.app/status/datadog?c=1768415298
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https://bsky.app/profile/isdown.app/post/3mcfp4xgeqa2r
Alexander Embiricos (@embirico)
Datadog이 코드 리뷰에 OpenAI Codex를 도입한 사례 연구를 공유했습니다. 조사 결과 Codex가 팀이 처음 놓친 사고의 22%를 포착했으며, 이는 AI 기반 코드 분석·검토 도구가 실전에서 결함 탐지와 품질 향상에 실질적 기여를 할 수 있음을 보여주는 적용 사례입니다.
🚨 Oh no, #Datadog blocked us! 🚨 Quick, let's pretend we're cool with it and slap together an "open #Grafana stack" in record time. Look, our bravery in the face of 'vendor lock-in' betrayal is the stuff of legends! 😂 #NotSoMuch
https://www.deductive.ai/blogs/datadog-thank-you-for-blocking-us #VendorLockIn #OpenSource #TechHumor #HackerNews #ngated
Datadog, thank you for blocking us
https://www.deductive.ai/blogs/datadog-thank-you-for-blocking-us
#HackerNews #Datadog #Thank #You #Blocking #Us #DatadogBlog #HackerNews #TechCommunity
Oh no, #Datadog blocked you? 😱 Quick, grab the world's tiniest violin! 🎻 The heroic saga of an open-source #migration in 48 hours—because nothing says "freedom" like packing your bags for #Grafana when your subscription goes poof! 🏃♂️💨
https://www.deductive.ai/blogs/datadog-thank-you-for-blocking-us #OpenSource #48Hours #Freedom #HackerNews #ngated
Datadog, Thank You for Blocking Us
https://www.deductive.ai/blogs/datadog-thank-you-for-blocking-us
#HackerNews #Datadog #Thank #You #for #Blocking #Us #Datadog #News #Tech #Community #Cybersecurity
Alexander Embiricos (@embirico)
Datadog의 Codex 코드 리뷰 활용 사례 연구: 'incident replays'로 테스트한 결과 Codex가 팀이 원래 놓친 사고의 22%를 발견했다고 보고했습니다. AI 기반 코드 리뷰의 실무적 효과를 보여주는 사례입니다.
Love that Packagist keeps their usage data public. Just spent some time looking at the #Datadog dashboard. 🤓
Some wild stats from the last month:
20.8 TB of data transferred 📉
71M+ Composer installs 📦
99.97% success rate (impressive uptime!)
Also, great to see #PHP 8.4 already hitting 22.5% adoption. The ecosystem is healthier than ever.
nice thing about #docker on Linux is that it doesn’t take up a giant amount of space for a vm. Just prune unused images, containers, and volumes often and you should be fine. If you need to expand the partition later, you can - or you can mount /var/lib/docker on a separate partition and move the data.
https://www.reddit.com/r/docker/comments/176zhbi/installing_docker_on_a_secondary_partition/
#datadog however suggests otherwise
https://docs.datadoghq.com/security/default_rules/3wk-jj4-zxc/
Flutter アプリにおける Datadog RUM を使った SLI 計測
https://developers.cyberagent.co.jp/blog/archives/61359/
#developers #エンジニア #Dart #Datadog #Flutter #Sentry #WINTICKET
Is #datadog so desperate that they are going through five year-old reddit posts spamming crap comments?
Exhibit A:
https://www.reddit.com/r/devsecops/comments/iq7cf8/comment/nunqawu/
Exhibit B:
https://www.reddit.com/r/netsec/comments/lmug59/shielding_kubernetes_with_image_scanning_on/nt85415/
The Trade Desk has been named Wall Street’s top growth stock pick for next year, with analysts projecting a 72% upside; Datadog, Netflix, Oracle, Coinbase, and NVIDIA also feature among favored stocks.
#YonhapInfomax #TheTradeDesk #WallStreet #UpsidePotential #Datadog #Netflix #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
https://en.infomaxai.com/news/articleView.html?idxno=95712
Datadog US1 is experiencing a major outage. Are you having problems with Datadog US1? #datadog #datadogdown
https://isdown.app/status/datadog?c=1765576289
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https://bsky.app/profile/isdown.app/post/3m7t33uwi722q
Given the ludicrous costs of observability vendors and complexity of the OTEL SDK, I'm convinced the best ROI in observability is https://github.com/go-graphite with https://github.com/statsite/statsite and a self-hosted ElasticSearch cluster for logs.
I know it's blasphemous, but I'm not sure tracing and metrics/logs with attributes really give anyone a competitive advantage over what you can achieve leveraging statsd and a Perl script to parse logs to an OpenSearch or ElasticSearch cluster. What I witnessed at Booking.com with just statsd and web access logs parsed to self-hosted ElasticSearch was staggering compared to what I've seen from OTEL and observability vendors.
I think there's a general trend in the industry to migrate to advanced, complex solutions without fully utilizing existing simple, boring solutions.
#observability #blasphemy #otel #datadog #perl #elasticsearch
DatadogのRust製オブザーバビリティデータパイプラインVectorを本番導入した
https://developers.cyberagent.co.jp/blog/archives/60707/
Holy smoke, setting up on-call in #Datadog using #Terraform / #OpenTofu is so easy that I'm left wondering what I've fucked up because that can't possibly be all there is to it. #DevOps
👍 Powerful new AWS AI service: #AWS DevOps Agent is your always-on, autonomous on-call engineer. When issues arise, it automatically correlates data across your operational toolchain, from metrics and logs to recent code deployments in #GitHub or #GitLab. It identifies probable root causes and recommends targeted mitigations, helping reduce mean time to resolution. The agent also manages incident coordination, using #Slack channels for stakeholder updates and maintaining detailed investigation timelines.
To get started, you connect AWS DevOps Agent to your existing tools through the AWS Management Console. The agent works with popular services such as Amazon CloudWatch, #Datadog, #Dynatrace, #NewRelic, and #Splunk for observability data, while integrating with GitHub Actions and GitLab CI/CD to track deployments and their impact on your cloud resources. Through the bring your own (BYO) Model Context Protocol (MCP) server capability, you can also integrate additional tools such as your organization’s custom tools, specialized platforms or open source observability solutions, such as #Grafana and #Prometheus into your investigations.
The agent acts as a virtual team member and can be configured to automatically respond to incidents from your ticketing systems. It includes built-in support for ServiceNow, and through configurable webhooks, can respond to events from other incident management tools like PagerDuty. As investigations progress, the agent updates tickets and relevant Slack channels with its findings. All of this is powered by an intelligent application topology the agent builds—a comprehensive map of your system components and their interactions, including deployment history that helps identify potential deployment-related causes during investigations.
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst