Query Performance Metrics
Analyzes execution plans, wait statistics, and index efficiency in SQL Server.
Eliminate Query Bottlenecks and Deadlocks Before They Disrupt Users
Detect and resolve sluggish Microsoft SQL Server queries in your requests, along with transaction traces, to gather actionable insights for optimized functionality.
Challenges
MS SQL Database Monitoring
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.
Key Features
Advanced SQL Server Workload Intelligence and Execution Plan Control
Understand cost distribution, plan regressions, TempDB pressure, and throughput.
Workload Distribution & Query Cost Analysis
- Break down total database load by individual queries, stored procedures, application services, and background jobs to clearly understand how CPU, memory, and disk resources are distributed across the system in real production environments.
- Track CPU-intensive versus I/O-intensive workloads over time to identify whether performance pressure is coming from compute saturation, storage bottlenecks, or inefficient query patterns.
- Monitor query cost and resource usage trends across business hours, reporting windows, batch processing cycles, and peak traffic events to detect sustained pressure or abnormal workload shifts.
- Proactively identify inefficient queries, growing execution costs, and abnormal workload spikes before they degrade performance, impact SLAs, or affect critical application workflows.
Stored Procedures, Ad-Hoc SQL & Runtime Behavior
- Capture real-time execution details of stored procedures, parameterized queries, and dynamic SQL statements to gain complete visibility into how workloads behave under live traffic.
- Instantly surface procedures and ad-hoc SQL statements that slow down due to data growth, parameter skew, execution plan changes, blocking, or resource contention.
- Analyze parameter usage patterns, execution frequency, and runtime variability to detect performance inconsistencies caused by parameter sniffing or uneven data distribution.
- Diagnose performance issues tied to specific application services, integrations, scheduled jobs, or user-driven workloads with clear context.
Plan Cache, Recompiles & Execution Strategy
- Visualize cached execution plans used by SQL Server to understand how queries and procedures are optimized and executed internally across workloads.
- Detect frequent recompiles, execution plan regressions, parameter sniffing side effects, and plan instability that cause sudden performance fluctuations.
- Analyze join strategies, parallelism decisions, memory grants, operator-level costs, and spill behavior to pinpoint inefficiencies inside complex execution plans.
- Stabilize and optimize performance by tuning indexing strategies, query structure, statistics updates, and plan reuse behavior for consistent execution efficiency.
Buffer Cache, I/O Hotspots & Temp Resource Usage
- Track buffer cache hit ratios and memory residency trends to reduce unnecessary physical disk reads and improve query response consistency.
- Identify tables, indexes, and specific workloads generating the highest I/O pressure, enabling focused optimization on storage-intensive operations.
- Monitor TempDB growth driven by sorting, hashing, row versioning, parallel workloads, and intermediate result processing under heavy concurrency.
- Prevent performance degradation caused by disk saturation, memory contention, TempDB bottlenecks, and sustained high-concurrency pressure.
Why Atatus
Why choose Atatus for MS SQL database monitoring?
01
Deep SQL Server visibility
Atatus provides engine-level insights into execution plans, wait stats, and worker threads to optimize performance confidently.
02
Resolve blocking faster
Atatus detects deadlocks and blocking chains instantly to reduce downtime and transaction delays.
03
Optimize TempDB usage
Atatus tracks TempDB contention and version store pressure to prevent performance degradation.
04
Stabilize transaction logs
Atatus monitors log growth, checkpoint behavior, and write pressure to avoid unexpected slowdowns.
05
Ensure high availability
Atatus tracks availability groups and replication health to maintain uptime and data consistency.
06
Accelerate root cause analysis
Atatus correlates SQL Server activity with CPU, memory, and disk IO to identify infrastructure bottlenecks quickly.
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.
Microsoft SQL Server monitoring involves the systematic observation and analysis of various performance metrics and parameters within a Microsoft SQL Server database. It is crucial for ensuring the optimal performance, availability, and reliability of Microsoft SQL Server instances. Monitoring allows you to detect and address potential issues, optimize resource usage, and maintain the overall health of your Microsoft SQL Server databases, which are fundamental components of many web applications.
Monitoring Microsoft SQL Server with Atatus offers a comprehensive solution for gaining deep insights into the performance of your Microsoft SQL Server databases. Atatus provides real-time visibility, customizable dashboards, and intelligent alerting capabilities, allowing you to proactively manage and optimize Microsoft SQL Server instances. With Atatus, you can ensure high availability, quickly troubleshoot issues, and streamline the performance of your Microsoft SQL Server-powered applications.
Important Microsoft SQL Server metrics to monitor include:
- Query performance metrics (execution time, throughput, etc.)
- InnoDB metrics (buffer pool usage, transactions, etc.)
- Connection statistics (connections, aborted connections, etc.)
- Replication metrics (lag, slave status, etc.)
- Server resource utilization (CPU usage, memory usage, disk I/O)
Atatus supports a wide range of popular databases, including but not limited to MySQL, MS SQL, PostgreSQL, MongoDB, MariaDB, Redis, Memcached, SQLite, and Aerospike. The platform provides integrations and pre-built dashboards tailored to each supported database, allowing users to monitor and analyze their database performance effectively. Whether your application relies on MySQL or a combination of different databases, Atatus provides a unified platform for effective monitoring and optimization.
Atatus provides Query Performance Monitoring, allowing you to identify slow queries, view query plans, and assess overall query performance. With this information, you can optimize queries for better database efficiency.
Yes, Atatus is designed to monitor Microsoft SQL Server databases in both traditional and distributed environments. It supports monitoring across on-premises, cloud, and hybrid infrastructure, providing a unified view of your Microsoft SQL Server performance regardless of the deployment model.
Atatus supports various notification channels, including email, Slack, PagerDuty, and others. You can configure alerting policies with specific thresholds and conditions to receive timely notifications when Microsoft SQL Server metrics deviate from expected values.
Data retention for Microsoft SQL Server monitoring is set to 7 days by default. This can be changed in your billing settings to 60 or 90 days. Contact our Customer Success Representative if you require a longer retention period.