Zensar Technologies - Grafana Configuration Engineer - Prometheus Tool

Responsibilities : - Design, develop, and maintain interactive and informative Grafana dashboards to visualize metrics, logs, and traces from diverse sources, including Prometheus, Loki, and Tempo. - Create dynamic dashboards with drill-down capabilities, template variables, and annotations to provide context and facilitate root cause analysis. - Ensure dashboards are user-friendly, visually appealing, and tailored to the needs of different stakeholders (developers, operations, management). - Configure and integrate Grafana with Prometheus, Loki, Tempo, and other data sources to establish a robust and unified monitoring solution. - Set up data source connections, configure authentication and authorization, and ensure data integrity and consistency. - Optimize data ingestion and storage for efficient querying and visualization in Grafana. - Proficiently utilize LogQL and PromQL query languages to analyze logs and metrics data, identify trends, patterns, and anomalies, and proactively troubleshoot issues. - Develop complex queries to correlate logs and metrics, enabling deeper insights into system behavior and performance. - Create reusable query templates and functions to streamline data analysis and reporting. - Implement and manage synthetic monitoring solutions (within Grafana or integrated with it) to simulate user interactions and monitor the performance and availability of critical endpoints and workflows. - Configure synthetic tests, define performance thresholds, and analyze results to identify potential bottlenecks or service disruptions. - Develop dashboards to visualize synthetic monitoring data and provide alerts on performance degradation. - Collaborate with API Management (APIM) teams to integrate monitoring solutions into APIM platforms, leveraging LogQL and PromQL for analyzing API logs and metrics. - Develop dashboards to visualize API traffic, latency, error rates, and other key performance indicators. - Create alerts based on API performance and usage patterns to ensure API health and availability. - Set up and configure Tempo for distributed tracing, enabling end-to-end visibility into application performance and latency across microservices architectures. - Instrument applications to generate trace data and configure Tempo to collect, store, and query traces. - Develop dashboards to visualize trace data, identify performance bottlenecks, and understand the flow of requests across services. - Configure alerting rules and notification channels within Grafana to proactively notify relevant teams of potential issues, anomalies, or performance degradation in real-time. - Define alert thresholds, create notification templates, and customize alert routing based on severity and context. - Ensure alerts are actionable, informative, and minimize noise. - Identify and implement optimizations to improve the performance, scalability, and efficiency of monitoring systems, including Grafana, Prometheus, Loki, and Tempo. - Tune data source configurations, optimize query performance, and scale Grafana deployments to handle large volumes of data. - Implement caching strategies and other techniques to improve dashboard load times and responsiveness. - Develop automation scripts and templates (using Python, Grafana API) to streamline Grafana configuration, dashboard creation, and data source management. - Automate repetitive tasks, such as provisioning dashboards, updating data source connections, and managing alert rules. - Contribute to the development of infrastructure-as-code (IaC) for managing the observability : - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 3 years of experience working with Grafana, Prometheus, Loki, and Tempo in a production environment. - Strong understanding of monitoring concepts, metrics, logging, and distributed tracing. - Proficiency in designing and developing complex Grafana dashboards. - Expertise in configuring Grafana data sources and integrations. - Deep knowledge of LogQL and PromQL query languages. - Experience with setting up and managing synthetic monitoring solutions. - Familiarity with API Management platforms and their integration with monitoring tools. - Solid understanding of distributed tracing principles and experience with Tempo. - Experience with configuring alerting rules and notification channels in Grafana. - Strong scripting skills in Python or a similar language for automation. - Excellent problem-solving, analytical, and troubleshooting skills. - Strong communication and collaboration abilities. - Ability to work independently and as part of a team in a fast-paced Skills : - Experience with other observability tools and platforms. - Knowledge of infrastructure-as-code (IaC) tools (Terraform, Ansible). - Experience with containerization (Docker) and orchestration (Kubernetes). - Familiarity with cloud platforms (AWS, Azure, GCP). - Contributions to open-source monitoring projects. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 5/10/2025