Role - Customer Devops Engineer
Experience- 5-7 Yrs
Location- Gurgaon- Work from Office
Coralogix is rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.
By enabling users to define different data pipelines per use case, we provide deep Observability and Security insights, at an infinite scale, for less than half the cost.
Responsibilities:
Develop extension packages for various Snowbit platform offerings which entails developing:
Requirements
About Coralogix :
Coralogix is a SaaS platform that analyzes log, metric, and security data in real-time and uses machine learning to streamline delivery and maintenance processes for software providers, having its headquarters in California, United States . Coralogix is a streaming platform for modern engineering teams. Coralogix’s Streama© technology produces real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the challenge of data growth in large-scale systems. Ingest data from any source for a single, centralized platform to manage, monitor, and alert your applications. As data is ingested, Coralogix instantly narrows millions of events down to common patterns for deeper insights and faster troubleshooting. Machine learning algorithms continuously observe data patterns and flows between system components and trigger dynamic alerts so you know when a pattern deviates from the norm without static thresholds or the need for pre-configurations.
Company Website : https://coralogix.com/
Snowbit is a cybersecurity technology innovator with a vision to empower organizations across the globe to quickly, efficiently, and cost-effectively ready themselves to address omnipresent cyber risk. Built off years of Israeli cybersecurity experience, Snowbit is looking to offer the broadest managed detection and response offering available today.
Snowbit is part of the Coralogix group, with Coralogix rebuilding the path to observability by offloading the burden of indexing and providing deep insights, at an infinite scale, for less than half the cost.