Todo planejamento visando diminuir os tempos de paradas ou intermitência em produção, passa pelos ambientes pré-produtivos, claro, com tempos estimados, pois geralmente são volumetria e acessos menores comparados ao ambiente produtivo. Itens já mencionados: - Levantar os tempos de atualizações - Automatizar processos de manutenções - Levantar os tempos de manutenções - Aplicar nos nodes secundários primeiro, no caso de Cluster - Chavear e aplicar novamente nos secundários - No caso dos clusters, tratamos como intermitência. Com isso mensurarado, temos informações mais concretas para aplicá-las em produção, gerando o menor impacto possível para os usuários

To have such a situation is scary . Before getting live itself with target customer base , performance testing should have been done . In the business where we can’t afford to have downtime , we should simulate production like environments and then execute performence testing . It’s advised to have after each major release or even monthly with right balance to cost . Three things are crucial to have good performance of system : 1. Good technical solution and right implementation 2. Business profile testing with varied workloads 3. Benchmarking the system performance

Balancing thorough testing with uptime is tough, but achievable with smart strategies. Start by testing early in development to catch issues early, and automate repetitive tests to save time and reduce errors. Schedule tests during low-traffic periods and use tools like canary releases, blue-green deployments, and feature flags to roll out changes gradually. Real-time monitoring and alerts help catch issues fast, while a solid rollback plan minimizes risks. Collaborate across teams and communicate schedules to keep everyone on the same page. With these steps, you can ensure solid testing without disrupting your users.

Balancing performance testing and minimizing downtime requires a strategic approach, especially in production environments. Here’s how you can strike the right balance effectively: 1. Use Load Testing Tools Wisely like Cloud-Based Testing Tools such as like Apache JMeter, LoadRunner, or k6 allow you to simulate traffic from external sources, reducing stress on your internal resources. 2. Schedule Testing During Low-Traffic Periods 3. Monitor in Real-Time by Proactive Monitoring 4. Collaborate Across Teams by Involving DevOps, QA, and business stakeholders early to align objectives and ensure testing aligns with operational goals.

In my word whit 24*7*365 production, you always have one dedicated q/a and test system to verify new solutions in any layer in the system from SW to HW. There you can see any kind of changed behavior in performance and can work on the issues. Of course it can be challenged to set up a test system but in the long run it is the best.