Prasad Pande
- Role
- Site Reliability Engineer at Glidewell Dental
- Location
- Irvine, CA, US
- LinkedIn followers
- 500 followers
About Prasad Pande
Ensuring the stability and reliability of Production applications from infrastructure…
Experience
Site Reliability Engineer
Sep 2021 — Present
Ensuring the stability and reliability of Production applications from infrastructure standpoint. Monitoring production logs, infrastructure resources, Micro-services and investigating end user observed infrastructure issues. Implementing changes to current infrastructure identified issues to ensure systems stability. e.g. implementing AWS auto-scaling across ECS services. Optimizing production applications e.g, by understanding memory and cpu usage patterns and optimizing memory usages across ECS micro-services. Implementing Infrastructure as Code initiatives using Terraform across organization infrastructure resource deployments and creating Environments from scratch. Continuous Integration Continuous Delivery (CICD) implementation by creating deployment pipelines Migration of legacy technologies to newer advanced technologies – e.g. migrating from MongoDB to AWS Document DB, migrating from RabbitMQ to AWS MQ Monitoring 3rd party software’s like Neo4j, Pega, RabbitMQ to identify any issues with it and resolve them to avoid business continuity. Investigate errors, throughput changes, latency issues in datadog Responding to end user production issues related to slowness caused due to infrastructure scalability issues. Adding missing metrics and graphs in datadog through datadog support tickets for complex integrations Setup Datadog monitors/AWS Cloudwatch Alerts and using PagerDuty alert it to a Microsoft Teams Channel so that all such issues can be timely identified and resolved to avoid end user day to day business activities Working on Infrastructure Cost Saving initiatives and identifying opportunities across organizations where unwanted infrastructure can be eliminated Implementing Real User Monitoring, Synthetic Monitoring using DataDog DataDog monitoring, AWS Cloudwatch metrics, Cloudwatch Logs, ECS Service logs to understand and resolve production systems stability issues.
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