Cloud Canaries announced the launch of Observability Canaries with OpenTelemetry integration.
Tailored for software developers practicing DevOps, they provide cost-effective and complementary innovation to legacy observability tools with superior flexibility, control and intelligence.
"Observability Canaries provide developers the ability to extend the predictive functionality of their existing platforms by leveraging Canary intelligence," said Mark Callahan, founder and CEO of Cloud Canaries. "Observability Canaries improve results with increased control and greater efficiency for gaining valuable insights."
OpenTelemetry provides a readily available, additional data source for model creation, alarming, forecast generation and validation. In this fashion, intelligent Observability Canaries complement enterprise platforms like New Relic and DataDog to fill functionality gaps and form a shareable and customizable canary library to provide the freedom and control developers need to innovate.
How Observability Canaries Drive Value:
- Seamless Integration and Enhanced Functionality: Observability Canaries integrate effortlessly with existing observability platforms to quickly and easily fill capability gaps. OpenTelemetry integration enables developers to utilize new data sources within existing observability practices without additional costs.
- Rapid Customization and Deployment: Observability Canaries give developers flexibility and control, allowing them to customize and deploy canaries for specific needs quickly. They empower swift response to dynamic environments, including forecast visibility, effective troubleshooting, SLA compliance and strategic metric alignment.
- Industry-Specific Solutions: Cloud Canaries provides tailored solutions that address complex observability challenges for healthcare, pharmaceutical, and retail industries to improve innovation and decision-making.
Observability Canaries operate within a comprehensive canary library to provide critical observability functions. From free to open source, Cloud Canaries ensures broad accessibility to redefine traditional observability practices with advanced workload data and AI models. Now, developers can deploy canaries in minutes to drive impactful business insights and strategic alignment.
Observability Canaries are free with any Cloud Canaries subscription.
The Latest
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...
From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
