Cloud Canaries launched to improve how organizations monitor and optimize their cloud environments.
Its Intelligent Canaries help software engineering and delivery teams practicing DevOps proactively detect, predict and autonomously resolve system issues before they impact operations. With Cloud Canaries, teams can create and deploy canaries in minutes and at a fraction of the cost of today's observability solutions.
Cloud Canaries is angel-funded, and is founded by industry veteran Mark Callahan, who brings over 17 years of experience at Oracle, specializing in retail applications and Oracle Cloud Infrastructure. The company's technical team includes a Harvard Ph.D. specializing in Neural Networks and AI, data analysts, DevOps leaders and experts in time series data and AWS deployment.
"Developers can create and share canaries to address the most common use cases to observe, secure and govern the cloud at 10% of today's costs," said Cloud Canaries' CEO Callahan. "By embracing open-source principles, Intelligent Canaries offer software teams the flexibility to address unique cloud environments while sharing knowledge within the Cloud Intelligence community."
With Cloud Canaries' workload-based solution, DevOps teams have a more efficient approach that allows for observability without instrumentation. Intelligent Canaries are lightweight agents that detect issues, safeguard change and risk management, and provide real-time performance monitoring and precise problem resolution. They allow software developers and engineering teams to innovate fearlessly while empowering IT managers to transform observability into a value-based initiative.
"Cloud Intelligence differs from today's legacy observability software as it offers a more cost-effective and flexible approach to monitor and optimize cloud environments," said Callahan. "Intelligent Canaries free teams from the system issues and operational obstacles that block innovation."
Cloud Intelligence represents a paradigm shift in system observability to improve DevOps and increase innovation by eliminating unplanned and distracting roadblocks. It supports DevOps' purpose to deploy small, controlled changes while empowering teams to control their destiny.
Intelligent Canaries are highly effective at:
- Early Detection of Issues: Intelligent Canaries act as early indicators by proactively detecting and pinpointing the root cause of potential problems or anomalies to isolate and address issues promptly.
- Risk Mitigation: By introducing changes gradually to a small subset of the system, teams can assess the impact of changes in a controlled environment, reducing the risk of widespread failures.
- Performance Monitoring: Intelligent Canaries provide real-time feedback on system performance, helping teams monitor key metrics and ensure systems operate within acceptable parameters.
- Continuous Improvement: Teams can refine processes, performance and reliability for incremental improvements by monitoring insights from Intelligent Canaries.
- Always Proactive: Intelligent Canaries maintain system stability and resilience by facilitating autonomous fixing issues and system optimization.
"The DevOps industry faces challenges such as manual processes, reactive problem-solving, outdated architectures and poor team collaboration," says Helen Beal, Chief Community Builder at Cloud Canaries. "Intelligent Canaries align perfectly with DevOps principles and address these issues while meeting the evolving needs of complex cloud environments."
The Latest
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...
Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...
In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...