Analyze SQL Server error logs
Inspect SQL Server ERRORLOG entries to identify database engine errors, severity-level failures, startup issues, and unexpected shutdown events.
Operational Logging for SQL Server Workloads and Replication
Track statement execution, high-availability events, resource contention signals, and audit activity across SQL Server environments in real time.
Challenges
Monitor Microsoft SQL Server logs to troubleshoot performance, availability, and security issues
Detect deadlocks and blocking
Capture deadlock graphs, blocking chain messages, and lock escalation warnings from SQL Server logs to diagnose concurrency issues.
Track query execution failures
Monitor SQL Server log events related to failed queries, transaction rollbacks, arithmetic overflows, and constraint violations affecting workloads.
Monitor availability and failover
Follow SQL Server Always On and failover cluster log messages to detect replica role changes, synchronization issues, and failover events.
Observe backup and restore activity
Track SQL Server backup, restore, and recovery-related log entries to verify job execution and detect failures impacting data protection.
Identify resource pressure warnings
Analyze SQL Server logs for memory pressure, I/O subsystem delays, tempdb contention, and scheduler health warnings.
Monitor authentication and security
Capture SQL Server login failures, permission denials, certificate errors, and encryption-related log entries for security auditing.
Correlate database and application logs
Link SQL Server log events with application logs to trace database-level errors back to specific services or deployment changes.
Transaction and Statement Activity
- Monitor SQL Server error logs, transaction logs, and statement-level entries to understand how T-SQL batches, stored procedures, and background jobs execute under production workloads.
- Correlate session IDs, transaction scopes, and application connections to trace database interaction paths across services.
- Identify failed transactions, rollbacks, and blocking chains that slow down request processing.
- Detect anomalies in database activity that impact data processing continuity and service stability.
High Availability and Replication Visibility
- Capture Always On, log shipping, and replication log events to observe data movement across primary and secondary SQL Server nodes.
- Correlate failover triggers, replica synchronization states, and network conditions with workload behavior.
- Identify delays in log delivery, redo queue buildup, and replica health issues affecting availability.
- Detect risks in disaster recovery readiness and multi-node consistency.
Resource and Query Performance Insights
- Analyze deadlock graphs, wait statistics logs, and execution warnings to understand SQL Server performance bottlenecks.
- Correlate CPU pressure, memory grants, and I/O wait events with query execution patterns.
- Identify parameter sniffing issues, plan cache instability, and inefficient joins increasing latency.
- Detect gradual degradation in throughput caused by resource contention and workload imbalance.
Audit and Access Intelligence
- Track login auditing, role modifications, and permission usage captured through SQL Server auditing and security logs.
- Identify abnormal authentication behavior, privilege escalations, and suspicious database operations.
- Correlate database access logs with application identity and infrastructure events for investigations.
- Detect compliance and security risks affecting enterprise SQL Server deployments.
Why Atatus
Why teams choose Atatus for MS SQL logs monitoring
01
SQL Server-native parsing
Atatus interprets SQL Server ERRORLOG and Agent logs with structured field extraction for severity, databases, and error codes.
02
Centralized log visibility
Atatus collects logs from standalone instances, Always On replicas, and clustered environments into one timeline.
03
Fast log filtering
Atatus enables quick searches by database, login, error number, and severity level.
04
Real-time alerting
Atatus triggers alerts on failovers, deadlocks, backup failures, and repeated login errors.
05
Faster root cause analysis
Atatus correlates SQL Server log anomalies with application and infrastructure signals.
06
Scalable ingestion
Atatus reliably ingests high-volume SQL Server logs during peak and recovery operations.
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineers
FAQ
Frequently Asked Questions
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
MS SQL Logs Monitoring refers to the process of tracking and analyzing logs generated by MS SQL databases. It is crucial for identifying performance issues, debugging queries, and ensuring the security of your database. Monitoring MS SQL logs helps in optimizing database performance and maintaining data integrity.
Monitoring MS SQL logs in Atatus enables you to gain visibility into your database's performance, detect issues early, and ensure optimal operation. Atatus provides a centralized platform for log aggregation, analysis, and visualization, making it easier to troubleshoot problems and optimize database performance.
To start monitoring MS SQL logs in Atatus, you need to install the Atatus Agent, configure MS SQL logs to be written to a file, and then use the Agent's log collection feature to send these logs to Atatus.
Yes, Atatus allows you to set up custom alerts based on specific MS SQL log events. You can define alert conditions, thresholds, and notification preferences to receive timely notifications when predefined events occur.
Log data parsing prioritizes customer security by meticulously anonymizing Personally Identifiable Information (PII) data. Sensitive fields can be completely excluded during the parsing process, ensuring the privacy and compliance of customer information.
In MS SQL Logs Monitoring, log pipelines are customizable workflows that allow users to filter, parse, and fine-tune log data based on specific criteria.
Log pipelines can be customized by using diverse filters and defining custom parsing rules. Users have the flexibility to configure pipelines to meet their specific monitoring requirements, ensuring that log data is processed and organized according to their preferences.
Yes, log pipelines can be configured to filter log data based on various attributes such as log source, severity, timestamp, or any custom field. This customization allows users to focus on specific aspects of log data that are most relevant to their monitoring goals.
Saved Views in MS SQL Logs Monitoring enable you to create and save custom configurations for different troubleshooting scenarios. This feature simplifies collaboration, allows for quick context switching, and automates repetitive tasks, significantly improving overall efficiency.
If you exceed your log ingestion limits, we would contact you to discuss on stopping further processing new log data or upgrade your subscription.
You can choose to store logs in Atatus for a limited time (e.g., 7 days) or export them to external storage solutions like Amazon S3 for long-term retention.
To access historical log data beyond the retention period, you can rely on log data exports from Amazon S3, where you can push the logs into Atatus for further analysis.
Yes, Atatus provides users with the flexibility to customize log retention settings. Users can adjust retention periods based on their specific needs, aligning with compliance standards or internal data management policies.