标签：#App

TL;DR We built a serverless Lambda pipeline that ships FSx for ONTAP audit logs to Dynatrace via the Log Ingest API v2. The real value: Dynatrace's Davis AI can automatically correlate file access anomalies with application performance degradation — answering "why is the app slow?" with "because 500 users hit the same NFS share simultaneously." FSx for ONTAP → S3 Access Point → EventBridge Scheduler → Lambda → Dynatrace Log Ingest API v2 │ ▼ Davis AI ┌───────────────────┐ │ Correlates: │ │ • File access │ │ anomalies │ │ • APM metrics │ │ • Infrastructure │ │ health │ │ │ │ → Root cause │ │ in seconds │ └───────────────────┘ Verified on Dynatrace SaaS Trial (Tokyo-equivalent region). Logs visible in Logs Viewer within 1-2 minutes. This is Part 11 of the Serverless Observability for FSx for ONTAP series. Why Dynatrace for FSx for ONTAP? Most observability tools treat storage logs as isolated data. Dynatrace is different — it builds a topology map of your entire stack and uses Davis AI to find causal relationships through time-window correlation and entity connectivity: Scenario Without Dynatrace With Dynatrace App latency spike "Check the logs" Davis AI detects temporal correlation: file access to /vol/data/ increased 10x within the same 5-minute window as app response time degradation, connected via topology (app → NFS mount → SVM) Storage I/O anomaly Manual investigation Automatic correlation via shared topology entities — Davis identifies which services are affected based on entity relationships User reports slow file access Grep through audit logs DQL query + topology view showing the full dependency path from user request to storage operation The key differentiator: Davis AI correlates events across entities that share topology connections within overlapping time windows — not just keyword matching or manual dashboard correlation. Architecture ┌─────────────────────────────────────────────────────────┐ │ Event Sources │ ├─────────────────────────────────────────

TL;DR We built a serverless pipeline that ships FSx for ONTAP audit logs to Honeycomb, where its high-cardinality query engine turns file access data into actionable insights. Two delivery paths verified: [Path A: Direct] FSx for ONTAP → S3 Access Point → EventBridge Scheduler → Lambda → Honeycomb Events Batch API [Path B: OTel Collector] FSx for ONTAP → S3 Access Point → EventBridge Scheduler → Lambda → OTel Collector → OTLP → Honeycomb Why Honeycomb for file access logs? Because file access data is inherently high-cardinality : thousands of users × millions of file paths × dozens of operations × multiple SVMs. Traditional log tools force you to pre-aggregate or sample. Honeycomb lets you query the raw events at full resolution. ┌──────────────────────────────────────────────────────┐ │ Honeycomb Query Engine │ │ │ │ "Show me which users accessed /vol/finance/* │ │ between 2am-4am last Tuesday" │ │ │ │ → BubbleUp: auto-detect anomalous dimensions │ │ → Heatmap: visualize access density over time │ │ → GROUP BY user, path, operation — no pre-indexing │ │ │ │ 20M events/month FREE │ └──────────────────────────────────────────────────────┘ This is Part 10 of the Serverless Observability for FSx for ONTAP series. Why Honeycomb for File Access Logs? Most observability tools index a fixed set of fields. When you have high-cardinality dimensions — like file paths ( /vol/data/project-alpha/2026/Q1/report-final-v3.docx ) or Active Directory usernames — you hit index bloat, slow queries, or forced sampling. Honeycomb's columnar storage handles this natively: Capability Traditional Logs Honeycomb Query by arbitrary field Pre-index or full scan Instant (columnar) GROUP BY high-cardinality field Expensive / limited Native BubbleUp (anomaly detection) Manual investigation Semi-automatic (select time range, BubbleUp identifies differing dimensions) Heatmap visualization Requires pre-aggregation Raw events For FSx for ONTAP audit logs, this means you can ask questions like: "Which

Gemini Spark helps automate everyday tasks, from inbox summaries to local event planning, but it’s unclear why Google made it a separate product.

TikTok may be working to become the app that people use for most of their digital activities.

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

I tested Wispr Flow and various AI-powered transcription software to see whether you should bother subscribing or stick with free services.

For nearly 80 years, Ferrari occupied a unique cultural space where its cars were aspirational, even for people who resented those who could afford them. The price, the exclusivity, and the opacity of the buying process allowed Ferrari to sail above ordinary criticism. You might not be able to afford one, but you still wanted […]

The alert was raised on May 5. Four health-care workers in the Ituri Province of the Democratic Republic of the Congo had died from an unknown illness within four days. Rapid response teams were sent to investigate, and tests at a research center in Kinshasa revealed the culprit: the Bundibugyo virus, one of the viruses…

Uber is rolling out options and features that cater to fans watching FIFA World Cup matches.

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial intelligence, the greatest change in…

In its latest update, Bluesky is getting into long-form content.

Meta’s upcoming Instagram Plus and Facebook Plus subscriptions are the latest example of the company seeing what works elsewhere and mimicking it.

The port seems solid, and all DLC is supported—but there's no crossplay, sadly.

As Apple tries to shrink Gemini for the iPhone, a cloud component is probably inevitable.

Researchers say they’ve found a new way to extract lithium, a crucial metal used in the lithium-ion batteries that power electric vehicles and energy storage arrays. This new technique could be more environmentally friendly and cheaper than existing ones. The research was published today in Science, and a startup called Rock Zero is working to…

Sesame’s new iOS app brings its conversational AI agents to the public, offering more natural back-and-forth interactions designed to feel less like traditional chatbots and more like talking to a person.

Apple is reportedly redesigning the iPhone's interface around the new Siri.

New renders offer a closer look at Apple’s planned AI overhaul for iOS 27, including a redesigned Siri experience powered and standalone Siri app.

Apple's long-awaited Siri overhaul, expected to arrive in iOS 27, might look a lot like ChatGPT with a splash of Liquid Glass. Renders from Bloomberg offer a preview of iOS 27, including the new app and chat interface for Siri. The renders are "based on information viewed by Bloomberg and people with knowledge of [Apple's] […]

The update signals YouTube's ongoing efforts to compete with other platforms for podcast audiences.