Results for “dns-over-tls”
10 skillsdns
Configure DNS records correctly with proper TTLs, email authentication, and migration strategies.
10 · bundle
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement, with webhook alerting to Slack, Teams, email, or generic HTTP endpoints.
24.6k · bundle
dns
Sets up DNS records, SSL/TLS certificates, subdomains, email authentication, and health-check failover routing for Route53, Cloudflare, or GCP Cloud DNS, with optional Terraform output.
13
network-engineer
Configures and troubleshoots network infrastructure: DNS records, reverse proxies, SSL certificates, firewalls, CDNs, and load balancers.
0
hunting-for-data-exfiltration-indicators
Analyze network traffic, logs, and data flows to detect potential data exfiltration via DNS tunneling, cloud storage uploads, encrypted channels, and other indicators of compromise.
24.6k · bundle
implementing-syslog-centralization-with-rsyslog
Configure rsyslog for centralized log collection with TLS encryption, custom templates, and log rotation. Generates server and client configuration files with GnuTLS stream drivers, x509 certificate authentication, per-host log segregation, and reliable queue settings for high-availability syslog infrastructure.
24.6k · bundle
etl-pipelines
Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.
0 · bundle
dns-records
Look up DNS records for any domain, including A, AAAA, MX, NS, TXT, CNAME, and SOA records, with support for multiple domains and JSON output.
10 · bundle
caddy-https-reverse-proxy
Deploy Caddy on a remote Linux host to expose a local HTTP backend as trusted HTTPS, prioritizing a user-owned domain with Let's Encrypt HTTP-01 and falling back to DuckDNS DNS-01 when needed.
0 · bundle
data-pipeline
Data pipeline patterns — ETL/ELT, batch vs streaming, idempotency, orchestration. Use when designing a data pipeline, choosing between batch and streaming, implementing ingestion or transformation, setting up orchestration, or debugging pipeline failures.
0