MS SQL Monitoring & Query Performance
Detect and resolve sluggish Microsoft SQL Server queries in your requests, along with transaction traces, to gather actionable insights for optimized functionality.
MS SQL Database Monitoring
Query Performance Metrics
Analyzes execution plans, wait statistics, and index efficiency in SQL Server.
Lock and Deadlock Tracking
Monitors blocking chains and deadlock graphs affecting concurrent workloads.
Thread and Session Load
Tracks worker thread usage and active sessions under high concurrency.
TempDB Utilization
Monitors TempDB contention caused by sorting, hashing, and version store usage.
Transaction Log Growth
Tracks log file expansion and checkpoint activity affecting write throughput.
Replication and AG Health
Observes replication latency and availability group synchronization state.
Error Log Monitoring
Surfaces SQL Server errors related to crash recovery and availability.
CPU and IO Load
Analyzes SQL Server CPU and disk IO consumption patterns.
See What's Affecting Your MSSQL Performance in Real Time
Track detailed query execution durations, throughput patterns, connection stats, index usage, and wait time metrics so you know where database workload inefficiencies appear.
Long-Running Queries Pad Workload Time
Without per-query duration metrics, heavy SQL statements can quietly increase overall response time and degrade database performance.
Inefficient Index Use Hides Bottlenecks
Queries that scan large tables due to missing or ineffective indexes waste CPU and I/O, and index usage insight shows where indexing changes help.
Connection Saturation Clouds Health Signals
High connection or session counts can indicate pooling or capacity issues, and tracking these stats reveals when limits begin to push latency higher.
Throughput Spikes Can Mask Rising Latency
Viewing throughput alongside latency trends exposes when increases in workload correspond with slower database response times.
Wait Patterns Extend Effective Query Time
Lock waits and other wait types extend total execution time, and observing wait patterns with duration highlights where contention slows work.
Why choose Atatus for MS SQL database monitoring?
SQL Server engine awareness
Execution plans, wait statistics, and worker thread usage are monitored for SQL Server workloads.
Blocking and deadlock visibility
Deadlock graphs and blocking chains are captured to diagnose concurrency issues.
TempDB usage tracking
TempDB contention caused by sorting and version store usage is continuously monitored.
Transaction log monitoring
Log file growth, checkpoint activity, and write pressure are tracked.
High availability insight
Availability group synchronization and replication health are monitored.
Infrastructure correlation
SQL Server performance is correlated with CPU, memory, and disk IO usage.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Ensure Continuous Database Monitoring Across all SQL and No-SQL Databases
Frequently Asked Questions
Find answers to common questions about our platform