Tech Buzz Online

Learn how eBPF observes Linux kernel and network activity, how programs are verified and attached, and how to run a safe first trace with bpftrace on Linux.

Learn how KEDA scales Kubernetes workloads from external event signals, how it works with the Horizontal Pod Autoscaler, and what to configure in production.

Learn how Kubernetes Pod Security Admission applies namespace security standards, blocks unsafe Pods, and complements admission policies across a cluster.

Learn how OpenTelemetry metric cardinality limits control time-series growth, how SDK overflow works, and how to design safer attributes to reduce cost.

Understand how PostgreSQL logical replication turns committed row changes into a CDC stream, how publications and slots work, and how to operate safely.

Learn how Sigstore Cosign signs container images, how keyless identities and attestations work, and how teams verify image provenance before deployment.

Learn how rollup and Ethereum node teams monitor blob-sidecar availability, propagation delays, integrity checks, alert thresholds, and incident recovery.

Understand Kubernetes Gateway API resources, how Gateway and HTTPRoute handle traffic, how they compare with Ingress, and what to verify before migration.

Understand RAG evaluation metrics for retrieval quality, grounded answers, and end-to-end performance, with a practical benchmark workflow and Python example.

Learn how tool-using LLMs can cause real-world side effects, and how to constrain tool permissions, validate inputs, require approval, and monitor execution.

Learn where vector database costs come from and how to reduce storage, indexing, and query spend while measuring the impact on retrieval quality.

Learn how zero-knowledge prover orchestration schedules proof jobs, balances latency and cost, and handles retries, caching, verification, and worker failures.

Learn how hybrid retrieval combines dense vector search with sparse keyword indexes, explains rank fusion, and shows how to configure and evaluate hybrid RAG.

Learn how LLM inference optimization reduces latency and memory use, how key-value caching speeds up generation, and what serving trade-offs to measure.

Learn how OpenTelemetry traces model, retrieval, and tool calls in production to diagnose latency, failures, and usage while protecting sensitive data.