Enterprise Edition
LogTrace for Enterprise — Scalability & Security
Smart log analysis for Russian business. Monitor 100+ servers, cut infrastructure costs by 40%, and stay compliant with 152-FZ — all from a single cluster.
The Challenge
SberLogistics, a national freight carrier operating from 14 regional data centers, was drowning in unstructured log data generated by 127 production servers, 43 Kubernetes nodes, and 19 legacy on-premise applications.
Their previous setup relied on a single-instance ELK stack hosted in Moscow. When traffic spiked during Q4 peak season, the cluster fell behind by up to 6 hours, critical alerts were missed, and SOC analysts spent 18 hours per week manually correlating events across disconnected systems.
Additionally, the company faced an upcoming audit under Federal Law 152-FZ on personal data protection. Their log retention policy covered only 30 days — the regulator requires a minimum of 90 days for access logs and 180 days for authentication events. Non-compliance risked a fine of up to ₽10 million.
127 Production Servers
Across 14 data centers in Moscow, Novosibirsk, Kazan, Vladivostok, and 10 additional locations. Average throughput: 2.4 GB of logs per hour.
6-Hour Ingestion Lag
The single-node ELK cluster could not keep pace during peak loads. SOC teams operated on stale data, missing real-time anomalies.
30-Day Retention vs. 180-Day Requirement
152-FZ mandates extended retention for authentication and access logs. Storage costs for scaling their existing stack were projected at ₽8.2 million annually.
The Solution
SberLogistics deployed a LogTrace enterprise cluster across three availability zones, replacing the monolithic ELK stack with a horizontally scalable, purpose-built log analysis platform.
The deployment consisted of 3 coordinator nodes (8 vCPU, 32 GB RAM each) and 6 storage nodes (16 vCPU, 64 GB RAM, 4 TB NVMe each), managed through LogTrace's built-in cluster controller. Configuration was delivered as a single Ansible playbook — the entire cluster was provisioned and operational within 4 hours.
LogTrace's native columnar storage engine compressed raw logs at a 14:1 ratio, reducing the effective storage footprint from the projected 18 TB to 2.7 TB for 180-day retention. The platform's built-in 152-FZ compliance module automatically classified personal data fields, applied field-level encryption, and generated audit-ready retention reports.
Horizontal Cluster Architecture
3 coordinators + 6 storage nodes across Moscow-1, Moscow-2, and St. Petersburg zones. Automatic shard rebalancing when nodes are added or removed. Zero-downtime rolling upgrades.
14:1 Compression Ratio
LogTrace's columnar storage engine indexes only queried fields. Cold data is automatically tiered to S3-compatible object storage at ₽3.4 per GB/month.
152-FZ Compliance Module
Automatic PII detection via regex and ML classifiers. Field-level AES-256 encryption. Immutable audit trails with cryptographic integrity checks. One-click retention policy enforcement.
Unified Alerting Pipeline
Correlation rules engine replaces manual cross-system analysis. Alerts route to Telegram, VictorOps, or custom webhooks. Average MTTR dropped from 47 minutes to 8 minutes.
Ansible-Driven Deployment
Single playbook provisions the entire cluster. Variables for node count, retention period, and encryption keys. Infrastructure-as-code reviewed and approved by the CISO team.
Role-Based Access Control
LDAP/Active Directory integration. Granular permissions: SOC analysts see only their team's dashboards. Executives receive aggregated compliance summaries. All access logged and immutable.
The Results
Within 90 days of going live, SberLogistics achieved full 152-FZ compliance, eliminated ingestion lag entirely, and reduced their annual log infrastructure spend by 40%.
40% Reduction in Annual Costs
Infrastructure spend dropped from ₽6.8 million to ₽4.1 million. Savings came from 14:1 compression eliminating the need for 12 additional storage nodes and consolidating three separate monitoring tools into one platform.
Full 152-FZ Compliance
Passed the Roskomnadzor audit on the first attempt. 180-day retention for authentication logs, 90-day retention for access logs, all PII fields encrypted at rest. Zero findings during the inspection.
Zero Ingestion Lag
The cluster processes 2.4 GB/hour with sub-2-second end-to-end latency, even during Q4 peak loads of 7.1 GB/hour. SOC teams now operate on real-time data across all 14 data centers.
MTTR Reduced from 47 min to 8 min
The correlation rules engine automatically links authentication failures, unusual access patterns, and application errors. What used to require 3 analysts spending 47 minutes now triggers a single actionable alert.
18 Hours/Week Saved for SOC Team
Automated correlation and pre-built 152-FZ dashboards eliminated manual log cross-referencing. The 12-person SOC team redirected that time to threat hunting and incident response tabletop exercises.
4-Hour Cluster Deployment
From blank servers to a fully operational, encrypted, RBAC-enabled cluster processing live logs. The Ansible playbook was reused to deploy a staging replica in 90 minutes.
"LogTrace didn't just solve our storage problem — it gave us a platform that grew with us. When we onboarded 34 additional servers in Q2, we added two nodes and the cluster absorbed the load without any configuration changes. That's the scalability we needed."
Dmitry Volkov, Chief Information Security Officer, SberLogistics