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Coralogix Tech Stack
In-stream observability platform processing 100% of telemetry data without indexing
Coralogix processes observability data at stream time and stores it directly in customer cloud environments, eliminating the indexing and sampling that drives cost in competing platforms. The tech stack — Kafka Streams, Apache Flink, Spark Streaming, Elasticsearch, and a heavy Java/Scala/Kotlin backend — reflects a stream-processing-first architecture built to handle high-volume telemetry. Active hiring skews heavily toward engineering (23 of 70 open roles) with senior-level dominance (40 of 58 leveled hires), suggesting they're scaling data-plane capacity and infrastructure reliability rather than early-stage feature exploration.
Tech Stack 132 technologies
Core StackKubernetes Java Go Python AWS Scala Kafka Elasticsearch Redis Kotlin Apache Flink Salesforce NetSuite Terraform Pulumi Helm ArgoCD Workday Istio SIEM ZIO Kafka Streams Akka Streams Spark Streaming RocksDB Microsoft Office Excel GCP Azure Bamboo+98 more
AdoptingKafka Streams Apache Arrow DataFusion
What Coralogix Is Building
◆Challenges
- High observability spend
- Expensive indexing or hot storage
- Technical issues related to observability
- Reducing burden of indexing
- Configuration at scale
- Complex technical sales cycles
- Customer onboarding challenges
- Reducing observability spending
- Complex technical integrations
- Customer adoption
▲Active Projects
- Customer data analysis game plan
- Customer onboarding process
- Implementation of observability tools
- New backend services for coralogix platform
- Designing and building production-grade knowledge systems at scale
- Company-wide organizational intelligence system
- Fleet management initiative for observability agent visibility
- Seamless onboarding experience for data ingestion integrations
- Enhancing onboarding process
- Alerting backend
Hiring Activity
Steady70 roles · 30 in 30d
Department
Seniority
Company intelligence
