Falak Kansal

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in building low latency, high-throughput systems.
  • Led multiple projects enhancing Log Analytics capabilities.
  • Strong background in microservices and cloud solutions.
Stackforce AI infers this person is a SaaS Backend Engineer with expertise in Log Analytics and Cloud Solutions.

Contact

Skills

Core Skills

Log AnalyticsCloud SiemMicroservicesData StorageData IngestionDynamic ParsingLucene

Other Skills

AlgorithmsAvroCC++Data StructuresDebugging ToolsMemory-mapped FilesProgrammingQuery OptimizationQuery RoutingScala

About

Experienced in design, development and operations of large scale distributed systems. Hands-on experience building and maintaining low latency, high-throughput, petabyte scale Log search & Analytics solution.

Experience

Rubrik

2 roles

Staff Software Engineer

Promoted

Apr 2025Present · 11 mos

Senior Software Engineer

Oct 2021Mar 2025 · 3 yrs 5 mos

Sumo logic

3 roles

Senior Software Engineer

Feb 2020Oct 2021 · 1 yr 8 mos

  • Cloud SIEM data Tier: Integrated the newly acquired Security product with
  • Log Analytics Platform. This helped Sumo Logic to become a DevSecOps
  • solution and not just DevOps.
  • Slow Query Auto Optimizer: Led the project to automatically detect repeatedly slow running queries in the system and pre-compute the query results for faster execution.
Cloud SIEMLog AnalyticsQuery Optimization

Software Engineer - II

Promoted

Oct 2017Feb 2020 · 2 yrs 4 mos

  • Load Aware Partitioner: Led the project to build a load aware partitioner to
  • improve the scalability and reliability of an existing micro-service.
  • Infrequent Data Storage: Led the initiative of data storage for the new on-demand pricing solution. Successfully delivered the storage at the same price of S3 with no compromise on our margins.
  • Infrequent Data Ingestion: Developed a micro-service to create column based
  • indexes in ingestion pipeline to build the new on-demand pricing solution for
  • Log Analytics.
  • Data deletion: Built support to delete customer index metadata which is beyond retention to improve the reliability and cost of the service.
  • Memory-mapped Bloomfilters: Zero downtime upgrades by implementing Memory-mapped files in Bloomfilter service storing 400 GBs of worth bloomfilters on disk reducing the node warmup time from 8 hours to 10 min-
  • utes.
  • Dynamic Parsing: Designed and developed the support of auto json parsing
  • of log messages to improve user experience.
  • Threat Lookup: Added support of an operator in Sumo Logic query language
  • to detect malicious IPs.
  • Sumo plugin for Grafana: Built logs and metrics plugin to support searches
  • using Sumo Logic in Grafana.
MicroservicesData StorageData IngestionMemory-mapped FilesDynamic Parsing

Software Engineer

Jun 2016Oct 2017 · 1 yr 4 mos

  • Search Templates: Reduced user pain to understand the complex query language for Log Analytics by templatising it.
  • Stream Circuit Breaker: Query routing on different servers based on their
  • health. Alerting if cluster is unhealthy beyond a threshold percentage.
  • Query Load Replayer: Built a debugging tool to simulate production query
  • load. This could be used for testing and performance enhancements.
  • Bolt: Worked on Lucene internals to store payload outside the index for performance enhancements.
Query RoutingDebugging ToolsLuceneLog Analytics

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering (B.E.) — Computer Engineering

Jan 2012Jan 2016

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