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Coralogix Releases Tracing TCO Optimizer

Coralogix launched the Tracing TCO Optimizer, enabling Coralogix users to assign use cases to their tracing data, and realize up to 90% savings on their ingestion costs.

"Traces are typically employed to provide a detailed operational view, but this is just one part of their value. Coralogix is now the only platform that allows users to define the use case for their data: whether the data be queried frequently, drive dashboards or be retained for historical analysis," said Yoni Farin, Coralogix CTO and co-founder. "This, combined with the power of Coralogix Remote Query and the Streama architecture, enables customers to infinitely retain and analyze their traces over years, while still delivering the remarkable cost optimizations that make Coralogix stand out in the industry."

New features and benefits of Tracing TCO Optimizer include:

- Significant Tracing Cost Savings - Users can now assign use cases to their Tracing data. High priority data is indexed and queried frequently and enjoys access to every feature, Medium priority data (75% cost savings) drives dashboards, machine learning models, in-stream alerting and more, while Low priority data (90% cost savings) is retained for historical analysis and regulatory reasons within the Coralogix Archive.

- Fine-grained Control - Data can be matched on whatever fields are attached to the trace, everything from language, to library version and error details.

- Infinite Retention. Instant Access - Combined with Coralogix Remote Query, traces can be retained indefinitely and still accessed in seconds at no extra costs, without the need to reindex.

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Coralogix Releases Tracing TCO Optimizer

Coralogix launched the Tracing TCO Optimizer, enabling Coralogix users to assign use cases to their tracing data, and realize up to 90% savings on their ingestion costs.

"Traces are typically employed to provide a detailed operational view, but this is just one part of their value. Coralogix is now the only platform that allows users to define the use case for their data: whether the data be queried frequently, drive dashboards or be retained for historical analysis," said Yoni Farin, Coralogix CTO and co-founder. "This, combined with the power of Coralogix Remote Query and the Streama architecture, enables customers to infinitely retain and analyze their traces over years, while still delivering the remarkable cost optimizations that make Coralogix stand out in the industry."

New features and benefits of Tracing TCO Optimizer include:

- Significant Tracing Cost Savings - Users can now assign use cases to their Tracing data. High priority data is indexed and queried frequently and enjoys access to every feature, Medium priority data (75% cost savings) drives dashboards, machine learning models, in-stream alerting and more, while Low priority data (90% cost savings) is retained for historical analysis and regulatory reasons within the Coralogix Archive.

- Fine-grained Control - Data can be matched on whatever fields are attached to the trace, everything from language, to library version and error details.

- Infinite Retention. Instant Access - Combined with Coralogix Remote Query, traces can be retained indefinitely and still accessed in seconds at no extra costs, without the need to reindex.

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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 ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...