Wie gehen Sie mit unerwarteten Datenverlusten während des Cloud-Migrationsprozesses um?

The last thing you want happening is data loss. Disaster recovery and business continuity plans should be in place long before a cloud migration kicks-off. Additionally, classic backup and restore methods along with data replication processes should be established. The architecture for all this should align with business RTO (Recovery Time Objective) and RPO (Recovery Point Objective). This helps mitigate risks associated with data loss.

Before initiating the migration process, conduct a thorough risk assessment. Identify potential points of failure and assess the impact of data loss on your operations. Consider factors such as data sensitivity, compliance requirements, and business continuity. This proactive approach allows you to develop a comprehensive risk management plan.

Data Backup and Recovery Plan Establish a robust data backup and recovery plan. Ensure that all data to be migrated is backed up in a secure location, preferably in multiple locations (on-premises and cloud-based backups). Test the backup and recovery procedures to ensure data can be restored quickly and accurately in case of any loss during migration.

In my experience, data loss is the worst thing that can happened during cloud migration. Technical team should work on all risk management and taking backup, keeping redundant replicas for fail-safe purpose. Even if the data is lost, we should have sufficient snapshots of instances/volumes/images so that they can be used in migration failure cases

Avaliar o risco é um dos primeiros passos para iniciar uma migração, primeiramente precisamos : - Criar um inventário de dados - Levantar as ameaças - Levantar os impactos - Preparar os planos de contingências - Levantar o tempo para restaurar os dados caso seja necessário.

Same principles used by Google , AWS and Azure Make sure to have multiple backups and retain it for a longer period, at least until the applications are moved to production and confirmed as working. Higher the criticality of information take more number of backups and make sure it can be recovered

Incremental Migration Approach Adopt an incremental migration approach rather than a big bang migration. Migrate data in smaller chunks or phases, allowing you to verify the success of each phase before proceeding. This method reduces the risk of large-scale data loss and makes it easier to identify and address issues promptly.

Backup plays a major role in restoring the data. Based on the criticality of the data, it should be stored in various regions and backup at regular intervals multiple times.

I believe that a regular backup strategy will be very useful in the following situations: Accidental Deletion: Users or applications can accidentally delete data. Backups ensure that this data can be recovered. Corruption: Data corruption can occur due to software bugs or hardware failures. Regular backups allow you to restore data to a known good state. Disaster Recovery: A robust backup strategy ensures you can recover your cluster and its state.

Antes de um processo de migração deveremos analisar se os backups estão completos e funcionais, também criar um ótimo plano de recuperação de desastre caso a migração falhe ou por algum outro motivo não seja possível a continuidade e por último realizar um teste de recuperação, porque não adianta em nada ter o backup, mas não ser possível restaurar.

Implement real-time monitoring and alert systems to track the migration process. Set up alerts for any anomalies, errors, or unexpected changes. Immediate notifications allow your team to respond quickly to potential data loss incidents, minimizing the impact and facilitating swift resolution.

Continuous monitoring is required to guarantee optimum performance and reliability of the system. It is important to monitor the cluster to detect problems and bottlenecks using monitoring tools and to receive early alerts by setting alarms. You can use these tools to achieve this such as Prometheus-Grafana, Kubernetes Dashboard, Datadog, cAdvisor, Helios, New Relic, and Dynatrace, etc. Also, Cloud Services-based solutions; include Amazon CloudWatch, Azure Monitor, Google Cloud Monitoring, etc.

Coming myself as an engineer who has built multiple ETL pipelines on the cloud, the most important feature regarding monitoring is the feature of Alarms. This is by far the most important error notification system you would want in any sort of cloud platform. Do not use just any sort of alarm on anything, make sure you define proper metrics and crucial datapoints are carefully being monitored, this will save you from unexpected outcomes and help prevention of silent error in your infrastructure.

While metrics can be deep and vast, created alarms and alerts must be backed with meaningful actions. Alerts without actionable outcomes would generate chaos and make observability difficult

O monitoramento em tempo real é crucial para prevenir possíveis incidentes e contratempos. Pela minha experiência é possível aproveitar as ferramentas de monitoramento existentes da nuvem dos provedores de serviços para rastrear o status das ações para a detecção de quaisquer inconsistências. Os principais aspectos podem incluir: - Ferramentas de monitoramento: ajudam a rastrear o progresso das operações de replicação e backup de dados, fornecendo visibilidade imediata de possíveis falhas. - Ferramentas de backup: essencial para manter a integridade dos dados e recuperá-los caso necessário. - Monitoramento de alertas e notificações: permitem ações rápidas para mitigar riscos ou quaisquer anomalias.

Testing and Validation Conduct thorough testing and validation before, during, and after migration. Pre-migration tests can help identify potential issues, while ongoing validation ensures data integrity is maintained throughout the process. Post-migration tests verify that all data has been successfully transferred and is functioning as expected in the new environment.

Here's my take on handling unexpected data loss during cloud migration: 🔹 Establish a comprehensive incident response plan outlining steps, responsibilities, and communication protocols to manage data loss effectively. 🔹 Isolate affected systems immediately, assess the scope of the loss, and initiate recovery procedures to minimize disruption. 🔹 Regularly practice your response plan to ensure swift and efficient restoration of operations. 🔹 Engage stakeholders early to keep them informed and involved in the recovery process, maintaining transparency and trust. This approach helps mitigate impact and restore normalcy efficiently.

Follow a pre-established incident response plan with clear responsibilities and communication protocols. Immediately isolate affected systems and assess the extent of data loss. Communicate promptly with all stakeholders about the incident and recovery progress. Restore data from backups stored both on-premises and in the cloud. Conduct a post-incident review to identify improvements for future migrations.

Update your documentation and incident response procedures based on lessons learned from the data loss incident. Ensure that your team is aware of these updates and prepared to handle similar situations in the future.

During the Move Group planning phase of migration strategy, It's important to know prior the migration about all other independent systems (app/db) of the server going to be migrated. Some key points to prevent Data loss include: 1.Knowing the Independent systems. 2.Having a verified Rollback plan. 3.Alternative recovery methods. 4.If backups are unavailable, consider reconstructing data from logs, snapshots, or other data sources. 5.If Rollback occurs, prepare RCA so that the same issue won't occur in future migration.

Overcoming Data Loss during Cloud Migration Immediate Action: Discontinue the movement of data, seclude miscarried files, and trigger a catastrophe recovery plan. Data Recovery: Restore the data from backups, establish their integrity and look for data recovery services. Root Cause Analysis: Probe into the cause, introduce precautions and confirm what has been found as right. Validation and Resumption: Validate the restored information; examine test systems then resume carefully with migration.

When data loss happens, it is crucial to know how to carry out recovery procedures. If you have maintained proper backups, restoring from them should be your first step. If backups are unavailable or compromised, you might need to use alternative methods like data reconstruction from logs or snapshots. The recovery process should be systematic and well-documented for future reference and continuous improvement.

Have recovery procedures outlined for you or for other people that will be executing them when needed. Make sure you test the commands outlined in your recovery scenario by testing your recovery scenario in a test environment.

It's essential to derive lessons from any data loss incidents during cloud migration for ongoing enhancement. Evaluate the issues that occurred and their causes, and then adjust your migration approach as needed. This could mean upgrading your backup processes, optimizing your monitoring systems, or refining your response strategies. By viewing challenges as opportunities for growth, you can improve your cloud migration practices and ensure stronger data protection in the future.

After any incident of data loss, perform a detailed post-mortem analysis. Gather all relevant data, logs, and reports to understand what went wrong and why. Use root cause analysis techniques to pinpoint the underlying reasons for the data loss. Determine whether the issue was due to a technical failure, human error, or process gap.

Based on the RCA, implement corrective actions and preventive measures to strengthen your cloud migration process. This may involve improving data backup strategies, enhancing migration testing procedures, or providing additional training for staff involved in migrations.