Blog | Hokstad Consulting

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How to Implement Failover in Cloud Systems

Learn how to implement failover in cloud systems to ensure high uptime, protect data, and maintain smooth operations during outages.

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10 Leadership Practices for DevOps Transformation

Explore essential leadership practices that drive successful DevOps transformation, enhancing collaboration, efficiency, and software delivery.

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How to Scale Artifact Repositories for Growth

Learn how to effectively scale your artifact repositories to support organisational growth, enhance performance, and ensure security.

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Best Practices for Feature Toggles in DevOps

Explore best practices for feature toggles in DevOps, enhancing deployment safety, testing capabilities, and compliance with UK regulations.

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Ultimate Guide to Cloud Security Risk Assessment

Learn essential strategies for conducting cloud security risk assessments to protect sensitive data and ensure compliance.

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How to Build CI/CD Dashboards with Grafana

Learn how to create CI/CD dashboards with Grafana, optimising your DevOps processes and monitoring key metrics for improved efficiency.

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How Pulumi and Terraform Handle Programming Languages

Explore the differences between Pulumi and Terraform in handling programming languages for Infrastructure as Code, and find the best fit for your team.

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Managed Hosting DR: RTO and RPO Basics

Learn how RTO and RPO metrics are vital in managed hosting disaster recovery, helping businesses minimize downtime and data loss.

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Workload Analysis for Cloud Cost Savings

Learn how workload analysis can help UK businesses cut cloud costs by identifying inefficiencies, optimizing resources, and automating management.

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Future of AI in CI/CD Vulnerability Detection

AI is revolutionising CI/CD vulnerability detection, speeding up processes, enhancing security, and addressing compliance challenges in the evolving cyber landscape.

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Custom Algorithms for Private Cloud Resource Allocation

Custom algorithms enhance resource allocation in private clouds, optimising costs, improving performance, and ensuring compliance with evolving demands.

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Consistency Models: Strong vs Eventual in Kubernetes

Explore the trade-offs between strong and eventual consistency models in Kubernetes, focusing on data accuracy, performance, and scalability implications.

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