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Cloud Canaries Announces Observability Canaries with OpenTelemetry Integration

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.

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Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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Cloud Canaries Announces Observability Canaries with OpenTelemetry Integration

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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...