You're faced with urgent performance issues in multiple databases. How do you decide where to start?
Faced with database dilemmas? Share your strategies for prioritizing urgent performance fixes.
You're faced with urgent performance issues in multiple databases. How do you decide where to start?
Faced with database dilemmas? Share your strategies for prioritizing urgent performance fixes.
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Start with the databases that are very critical to core business functionalities to ensure that the most vital services are prioritised for stability and performance.Then, focus on identifying and addressing the most impacted databases.
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based on my experience, i will do these things: 1. gather user reports to see which application or module have high impact due to performance issue. 2. put priority on high category application that have issue, then work on lower category application. 3. start investigating by seeing process on application service and database process. 4. check all involved stored procedure, stand alone query that might contribute performance issue. 5. replicate the issue on UAT or test server to see possible performance tuning and fixes.
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1.Assess Severity and Impact: Evaluate the issue's impact on business operations and classify it as Critical, High, Medium, or Low. 2.Use an Urgency Matrix: Plot issues on a matrix with Severity (High, Medium, Low) and Urgency (High, Medium, Low) axes to determine priority. 3.Prioritize Critical Issues First: Address Critical and High-priority issues immediately, followed by Medium and Low-priority issues.
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Primeiramente verificaria se alguma aplicação de baixo impacto para o negócio poderia ser desligada, para diminuir a carga dos bancos de dados. Logo na sequência focaria nos bancos de dados que tem mais impacto para o negócio, solicitaria ajuda para colegas de confiança, cada grupo de colegas olharia as queries que estão consumindo mais recursos do banco e tentaria otimiza-las criando índices ou modificando as consultas. Reuniria uma outra equipe em paralelo para monitorar a aplicação e verificar se conseguimos modificar algo no código colocando filas de processamento para diminuir a carga do banco de dados.
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Here are some of the immediate actions we could do - Check monitoring tools like SQLSentry to understand what is causing the issue - Bad plans can be mitigated by recompiling procedures, the dev team can investigate and fix the code. - Deadlocks and locking could be released to allow critical apps to function - Fix the database that has more business impact and hard SLAs. - Having lower environments close to production can help eliminate performance issues leaked to production. - Have observability tools like Datadog to monitor, alert anomalies before it gets widespread.
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When I deal with urgent performance issues in multiple databases, this is how I approach to prioritize where to start: Identify Critical Systems: I would determine which databases are tied to mission-critical applications. Assess Impact: I evaluate the performance issues' impact on users. Monitor Performance Metrics: Check key performance indicators (KPIs) such as response times, query execution times, and resource utilization (CPU, memory, I/O). Analyze Recent Changes: Review any recent changes or deployments that might correlate with the performance issues. Root Cause Analysis: If feasible, conduct a quick root cause analysis to understand the underlying issues for the most affected databases.
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When facing urgent performance issues in multiple databases, start by prioritizing based on the criticality of the affected systems, the impact on business operations, and available performance metrics. Tackle the highest-impact database first, while also considering any quick fixes for the others.
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Performance issues almost always require more information to solve than is initially collected. More detail is needed to solve the problem. The answers to the questions lead to the solution. When did the performance problem start? Are the databases on one server or multiple servers? Is there blocking? What resource is the bottleneck? Did anything recently change in the environment?
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- Focus first on databases where performance issues have the most significant effect on end-users or key processes. - Tackle fixes that offer the most improvement with minimal time to start with.
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Begin with the databases impacting key services the most. Identify bottlenecks using performance metrics, prioritize quick wins like optimizing slow queries or indexing, and address high-impact issues first to get things running smoothly again.
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