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- Design and implement end-to-end observability services using ELK stack on AWS .
- Manage the health of ELK.
- Collect Logs, Metrics and APM data and User Experience data from Data sources on AWS.
- Implement index lifecycle management (ILM) using hot-warm-cold-frozen architecture to automate data streams management in a cost-effective manner. Backup data streams, create and manage searchable snapshots.
- Leverage Kibana to create preconfigured, and editable dashboards, processing different sources of data and provide unified view of observability data.
- Use time series modeling to detect anomalies in the current data and forecast trends and configure alerts to notify support teams.
- Implement ingest pipelines for converting, enriching and processing the data as required. Process unstructured data using Elasticsearch ingest nodes and structure the data before indexing it into Elasticsearch.
- Implement Real User Monitoring(RUM) and Synthetic Transaction Monitoring
- Configure to extract new insights from observability data using AI OPs and machine learning features.
- Must possess experience in Enterprise Observability platform tools and technologies with mid-expert skill level:
- AWS Cloud Platform (essential AWS services - API gateway, Lambda, ALB, ECS, Cloudformation, IAM)
- Elastic, Logstash & Kibana - (ELK stack)
- AWS Managed Kafka or Confluent Cloud
- AppDynamics or Datadog or Dynatrace or New Relic
Elastic stack ELK - Herndon, United States - Allwyn Corporation
Allwyn Corporation
Herndon, United States
4 weeks ago
Description
Job Description
Job DescriptionJob Title: Elastic stack ELKLocation: Washington D.C (Remote)
Essential Functions:
Essential Skills:
Resource needs to have the following Skill set
Observability
Unify app and infrastructure visibility to proactively resolve issues.
Log Monitoring
Application performance monitoring
Infrastructure monitoring
Synthetic monitoring
Real user monitoring
Universal Profiling
AIOps
Open Telemetry
This is a remote position.