SREday San Francisco 2025 Q2
| title | author | length |
|---|---|---|
| How Harness Transformed Its Infrastructure | Puneet Saraswat | 24m |
Starts at 15 people and grows to 1,200+ while the control plane moves from one Java monolith on a shared MongoDB to 70+ microservices and 17+ products… | ||
| AI Teammates: How will they impact SRE Teams? | Francois Martel | 27m |
Newberg’s Hawkeye claims to automate SRE root‑cause work by connecting to CloudWatch, Prometheus, GitHub, Jenkins X, DynamoDB and PagerDuty, virtualizing… | ||
| A proactive approach to resilience in modern apps | Gunnar Grosch | 26m |
Shows a hands‑on pipeline: register a serverless app in AWS Resilience Hub, run a scheduled assessment that flags a missing DynamoDB point‑in‑time backup, then… | ||
| Awareness Security in the age of A.I. | John Shin | 26m |
Argues that winning security starts from an expanded view — literal satellites and the cosmic calendar show why stepping back improves decisions — and… | ||
| Visibility, Insight, and Action: Cast AI, Prom, Grafana | Scott Davis | 22m |
Shows a concrete integration: a small Cast AI agent injects Kubernetes telemetry, Prometheus scrapes the Cast AI endpoint, and Grafana (or Grafana Alloy)… | ||
| Streamlining Telemetry Data | Tucker Callaway | 08m |
An observability pipeline is built that routes high‑cardinality telemetry from hotel collector through the Mesmo pipeline into Prometheus and Grafana… | ||
| Managing Databases in the Cloud in Broken | Matan Nataf | 32m |
Platform that observes and automates across hundreds of RDS Postgres/MySQL instances, spotting fleet-wide slow queries and CPU/IO spikes and enforcing fixes in… | ||
| Zero Trust: From Airports to Identity-Aware Proxies | Nick Taylor | 19m |
Shows how an identity-aware proxy (IAP) running at layer 7 — e.g., as an edge service or Kubernetes ingress — enforces continuous verification, device posture… | ||
| Fast DIY O11y with OpenSrc Analytics & Visualization | Robert Hodges | 27m |
Builds a working observability pipeline using ClickHouse + Grafana, a 13-line Python producer that parses vmstat into JSON, and a JSONEachRow HTTP insert… | ||
| A Tale of Two Outages | David Argent | 26m |
A 2009 outage destroys a single SAN’s metadata partition, leaving a 15 TB relational database unreadable until a third‑party recovery team reconstructs 4K… | ||
| Build distributed persistent queue on FoundationDB | Himank Chaudhary | 21m |
Tigris uses FoundationDB to implement a persistent queue on FoundationDB that atomically writes metadata and queued events in the same transaction across 11… | ||
| Can SREs become AI/ML engineers? | Rod Anami, Gregory Pruett | 26m |
Kendra runs SRE teams that also build and operate AI platforms for 55,000 delivery engineers, arguing SREs can become ML engineers by owning MLops: data… | ||
| Case Study: Re-Thinking Our Infrastructure Tooling | Andrew Suderman | 22m |
Company replaces a nine year old Python templating layer with a Terraform templating engine that generates an individual infra-as-code repo per customer so… | ||
| CAP Theorem Reloaded | Shubhanshu Surana | 20m |
Uses CAP as a practical framework for telemetry pipelines, claiming partition tolerance is non‑negotiable and you must trade between consistency (correctness)… | ||
| Reliable Serverless Needs Distributed Transactions | Riley Scheid | 22m |
Argues that serverless systems today cause double-charge and duplicate-shipping bugs (shows a checkout example and a real bank deposit error) because… | ||
| Cloud Integration Testing Made Easy for AWS Cloud Apps | Anca Ghenade | 23m |
Shows a Spring Boot demo that stores images to S3, triggers a Lambda to watermark them, writes metadata to DynamoDB and uses SNS/SQS and server‑sent events… | ||
| Fearless SREs | Ren Lee | 34m |
Argues that incident risk includes psychological harm and prescribes four trainable qualities: adaptability, can do mindset, trust, and response tools… | ||
| Unlocking Observability with React & Node.js | Mohit Menghnani | 19m |
Argues for a concrete full‑stack observability setup that wires React front end to Node.js back end using traceparent ID propagation and session/correlation… | ||
| DragonCrawl: Revolutionizing Mobile Testing with GenAI | Anam Hira | 11m |
An LLM-based end-to-end testing system that simulates mobile UI semantically by extracting screen state, sending actions as natural-language tasks, and… | ||
| nothing matches | ||