Over the years, we’ve seen the shift from traditional physical servers to cloud-based solutions. Maintaining IT operations is increasingly difficult. Today, advanced observability solutions are a must-have for understanding system behavior and ensuring reliability. There are many challenges, and in this blog, I’ll explain how Cloud Canaries can help overcome these hurdles.
The Evolution of Technology and Observability
Modern cloud computing infrastructure has evolved over the past few decades from standalone PCs to interconnected networks to remote accessibility of data and applications hosted over the internet. We’ve seen the introduction of graphical user interfaces (GUIs) and server virtualization, led by early VMware deployments. Next, we saw the adoption of containers like Docker and Kubernetes. On the observability front, providers like New Relic and Datadog helped developers and SysOps teams monitor and optimize system performance—with varying levels of success.
Clearly, observability tools have enabled enterprises to gain visibility into application performance management (APM) and infrastructure monitoring to maintain uptime and efficiency.
Challenges in Observability
In our experience, too many organizations need help with building a culture of observability. Instead, we see a major disconnect, mostly around trying to integrate observability practices into a unified organizational process. The result? Chaos and the non-linearity of complex systems. Too often, simple alerts quickly escalate into critical failures. Sure, traditional monitoring can be effective, but in too many instances, today’s observability solutions fall short when it comes to predicting and mitigating issues.
A New Approach to Observability
At Cloud Canaries, our team has worked to reimagine observability. Our approach starts by leveraging the power and ease of Observability Canaries. Instead of extensive instrumentation, we offer a lightweight, external method to monitor and improve system health. With agile Canary Agents, developers and operations teams can monitor across infrastructures with minimal disruption and deep insights. I welcome you to try our free version to see for yourself how our real-time insights and proactive management capabilities are faster, easier to deploy and far more effective.
Leveraging AI and Neural Networks
How are Cloud Canaries different? From the ground up, we have harnessed advanced artificial intelligence and neural networks to analyze complex data patterns and forecasts to anticipate and respond to system anomalies with pinpoint precision. Unlike any other solution, Cloud Canaries AI facilitates cross-validation of data to generate insights that make accurate predictions completely trustworthy—everything we offer centers on being proactive and eliminating wasteful manual processes. Your teams must focus on strategic initiatives, not firefighting.
How Intelligent Canaries Work
Embracing Enterprises and Startups
As a young company, we have the freedom to innovate. Our design strategy centers on a vision of Cloud Canaries for all, which is suitable for large enterprises and startups alike. For our enterprise partners, this means having the ability to integrate Cloud Canaries without overhauling existing processes. We’re proud to have built a non-intrusive layer of monitoring to complement, not replace, your existing systems. For startups, you can adopt cutting-edge observability practices to gain immediate benefits at a fraction of the cost. We aim to help organizations of all sizes benefit from a less intrusive and more effective observability approach.
Our Vision for Observability 2.0
Growing complexity is a given, as is the need for Observability 2.0. At Cloud Canaries, we are committed to leading our industry’s evolution through the power of AI to transform observability forever. Our decades of experience tell us there’s a need for new approaches to deliver better insights and management capabilities.
As technologists, our true aim is to help customers build a culture of observability. To do so, our next-generation tools are great at navigating chaos and avoiding critical failures to support the most ambitious digital transformation initiatives.