Alerting Jobs

Replace Datadog With OSS Stack We spend about €1,400 each month on Datadog and want to eliminate that cost by running an open-source observability stack—Prometheus for metrics, Loki for logs, Alertmanager for notifications and Grafana for visualisation—inside our existing Kubernetes cluster. Today Datadog covers three things for us: monitoring & alerting, log management and detailed performance metrics. I need the same coverage after the migration, and I need it in real time; anything slower is a non-starter. I also have several dashboards in Datadog that the team relies on every day. Those dashboards must be migrated into Grafana with the same look, data sources and alert thresholds. Deliverables Helm (or Kustomize) manifests that deploy Prometheus, Loki, Alertmanage...

I am putting together a compact SIEM written in Python with a Flask front-end that ingests log files, spots brute-force behaviour and raises alerts in real time. The collector must read three streams—system, application and network logs—parse them efficiently and normalise the relevant fields so the detection logic can run smoothly. The correlation engine should recognise the three classic brute-force patterns I care about: password guessing, credential stuffing and dictionary attacks. Feel free to implement any proven techniques—sliding-window counters, IP and username reputation tables or threshold-based heuristics—so long as they remain fast and clear to audit. Whenever a rule fires I need three parallel notifications: an email, an SMS and an on-screen alert in...