ContentPosts from @manesh-boreddy..
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@faun shared a link, 3 weeks ago

Can LLMs replace on call SREs today?

ClickHouse ran five LLMs through an autonomous root cause gauntlet using OpenTelemetry data. None nailed it solo. OpenAI’s o3 and Claude Sonnet 4 came closest. GPT-4.1 was the cheapest brain on the block. Things got weird under the hood. Token usage spiked unpredictably. Queries slammed observabili..

Can LLMs replace on call SREs today?
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@faun shared a link, 3 weeks ago

Migrating Airbnb’s JVM Monorepo to Bazel

Airbnb yanked tens of millions of lines of Java, Kotlin, and Scala out of Gradle and dropped them intoBazel. Why? Faster builds, reproducible results, and smoother dev workflows. They didn’t just swap tools—they rewired the whole thing. A customautomated build file generatornow slices up targets fi..

Migrating Airbnb’s JVM Monorepo to Bazel
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@faun shared a link, 3 weeks ago

Worktrees: Git's best kept secret (and why you should use them)

Git worktrees have been around since 2015, but few devs use them like they could. They let you work on multiple branches at once—each in its own directory—without the usual stash-switch-stash-repeat dance. The real power move? Pair them with abare repo. That gives you a clean, central base where ea..

Worktrees: Git's best kept secret (and why you should use them)
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@faun shared a link, 3 weeks ago

Using DuckDB in AWS Lambda

DuckDB is an open-source in-process SQL OLAP database management system optimized for analytical queries. It can efficiently handle large datasets in a memory-efficient manner, making it suitable for serverless architectures. A DuckDB Lambda layer can be used to run performant queries on remote data..

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@faun shared a link, 3 weeks ago

Kubernetes Learning Roadmap

The Kubernetes Learning Roadmap covers key concepts such as understanding Kubernetes use cases, installing Kubernetes locally, interacting with Kubernetes using YAML and kubectl, managing deployments and replica sets, and networking in Kubernetes. Additionally, it includes topics like managing envir..

Kubernetes Learning Roadmap
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@faun shared a link, 3 weeks ago

Kubernetes v1.34 Sneak Peek: A Game-Changer for the Kubernetes Expert’s Lifecycle

Kubernetes v1.34 lands August 2025 with a clear agenda: smarter scheduling, tighter control, fewer surprises. Dynamic Resource Allocationgoes stable, letting clusters actually reason about GPUs, FPGAs, and NICs. AI/ML and HPC jobs stop guessing and start requesting what they need. ServiceAccount t..

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@faun shared a link, 3 weeks ago

Elon Musk's xAI Offers Up To $440K For Infrastructure Engineers, Calls It 'Adventure Of A Lifetime'

xAI wants infrastructure engineers to help scale itssupercomputing stack—and they're not playing small. They're after folks who knowKubernetes, can wrangleL4/L7 proxies, and speak fluentcloud networking. The goal: pushmulti-cluster production inferenceacross the Memphis supercluster (yeah, the one ..

Elon Musk's xAI Offers Up To $440K For Infrastructure Engineers, Calls It 'Adventure Of A Lifetime'
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@faun shared a link, 3 weeks ago

OpenTelemetry configuration gotchas

Zero-code OpenTelemetry still feels like a myth. Python skips logs out of the box. Quarkus wires up tracing, nothing else. Micrometer Tracing (Spring Boot) ignores OTel env vars unless you’re on 3.5 or later. Every stack plays by its own rules...

OpenTelemetry configuration gotchas
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@faun shared a link, 3 weeks ago

Kubernetes costs keep rising. Can AI bring relief?

88% of Kubernetes users say their total costs keep climbing—thanks to overprovisioned clusters, messy architectures, and hands-on ops. So now, 92% are bringing inAI-driven cost toolsto automate rightsizing and squeeze waste from sprawling workloads. System shift:AI isn't just sneaking into cluster ..

Kubernetes costs keep rising. Can AI bring relief?
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@faun shared a link, 3 weeks ago

How Imagine Learning Reduced Operational Overhead by 20% With Linkerd

Imagine Learning tore down its old platform and rebuilt it onLinkerdwithAWS EKS, layering inArgo CDandArgo Rollouts. The result? GitOps deploys, canary releases via the Gateway API, and mTLS baked in from the start. The payoff: Over80%cut in compute costs. 97%fewer service mesh CVEs. 20%drop in op..

How Imagine Learning Reduced Operational Overhead by 20% With Linkerd