Learn how to test your application's resilience to network issues with Harness Chaos Engineering. This tutorial covers essential network chaos experiments. Discover how to simulate real-world network conditions to identify weaknesses and validate your system's behavior under degraded connectivity.
Learn how to test your system's resilience against critical infrastructure failures. This tutorial demonstrates how to simulate zonal and regional outages to validate your high availability setup, plus how to test SSL/TLS certificate expiration scenarios. Essential for ensuring your applications can handle real-world failure conditions and maintain uptime during certificate-related issues.
Learn how to leverage Chaos Hub in Harness Chaos Engineering to accelerate your resilience testing. This tutorial covers browsing the Chaos Hub for pre-built experiments, understanding experiment templates, and two key workflows: importing experiments as local copies for customization or referencing them directly from the hub. Perfect for teams looking to quickly implement chaos experiments without building from scratch.
Wasting time fixing broken SQL scripts? Tony and Tonie check out SQL Prompt AI, which cleans up smart quotes and other chaos in seconds, so you can get back to real work.
Manually configuring DNS records for staging and production environments is a common pain point for developers and DevOps teams. As your organization grows and you manage more applications across different services, keeping DNS records up-to-date and error-free becomes increasingly challenging and time-consuming. Mistakes in DNS setup can lead to downtime, broken environments, or confusing deployments, especially when juggling multiple teams or microservices.
Security operations teams depend on telemetry from everywhere: endpoints, identity systems, cloud platforms, networks, applications, and security tools. This data underpins detection, investigation, compliance, and response.
Throughout 2025, we watched AI transform from a novelty into a non-negotiable requirement for engineering teams. Leaders moved quickly to roll out coding assistants, driven by the promise of unprecedented velocity. But as we settle into this new reality, it’s becoming clear that there is a massive difference between buying a tool and successfully scaling it. You can't just drop AI into a complex organization and expect it to work without a solid foundation.
As organizations increasingly embrace digital transformation, cloud agility has become a critical priority. Yet, the promise of cloud-native speed and flexibility often comes with trade-offs: loss of control, unpredictable costs, and operational complexity. Many companies find themselves stuck between the desire for agility and the reality of legacy infrastructure or regulatory constraints. At Civo, we don't think you have to choose. We’ve spent years helping teams navigate this tension.
As enterprise IT continues to evolve, networking is becoming a strategic lever – one that directly impacts agility, resilience and the ability to compete. In a recent podcast episode, our CTO Paul Gampe shares the technologies he thinks will matter most for the foreseeable future. Three themes stood out: the rise of Network-as-a-Service (NaaS), the shift toward transmission on-demand at layer one and the rapid evolution of Model Context Protocol (MCP).