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Calyptia Core Released

Calyptia announced the general availability of Calyptia Core, a Kubernetes solution that simplifies data collection, aggregation and routing at scale.

Calyptia Core removes the operational burden so teams can concentrate on what matters most — discovering actionable insights from their data.

Calyptia Core's plug-and-play approach to configuring data sources and destinations enables users to quickly and easily aggregate observability data at scale and ensures that all data is captured, transformed and routed as desired.

“Until now, observability into Kubernetes clusters has been a very manual, time-consuming and complex process that often delays results. As a business, this leaves you in a position where you tend to focus more on the collection and maintenance of tooling for data management, than extracting value from it,” said Calyptia CEO and Co-founder Eduardo Silva. “Calyptia Core makes it easier to run your business.”

Calyptia Core is available now and integrates with all major backends used for storing and analyzing observability data (Splunk, Datadog, OpenTelemetry, Elasticsearch, S3, etc.). It complements a business’s existing observability analytics, monitoring, and security tools. Other benefits include:

- Reduced cost from using instream processing to route or remove nonessential data to lower-cost storage, ultimately reducing the data stored and processed by expensive search and analytics tools

- Enhanced security by removing the requirement to share secrets and credentials between data sources and destinations

- High-performance scaling that can process petabytes of data across thousands of sources and destinations per day while maintaining low CPU and memory footprints

- Flexible with powerful processing rules for adding information that would otherwise be unavailable further downstream or removing information that should not be stored

Calyptia Core also includes automation of data collection, ability to create custom data pipelines for aggregation that facilitates data processing and filtering, a control plane to provide fine-grained management of the process and extensive developer toolsets to simplify enterprise adoption.

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Calyptia Core Released

Calyptia announced the general availability of Calyptia Core, a Kubernetes solution that simplifies data collection, aggregation and routing at scale.

Calyptia Core removes the operational burden so teams can concentrate on what matters most — discovering actionable insights from their data.

Calyptia Core's plug-and-play approach to configuring data sources and destinations enables users to quickly and easily aggregate observability data at scale and ensures that all data is captured, transformed and routed as desired.

“Until now, observability into Kubernetes clusters has been a very manual, time-consuming and complex process that often delays results. As a business, this leaves you in a position where you tend to focus more on the collection and maintenance of tooling for data management, than extracting value from it,” said Calyptia CEO and Co-founder Eduardo Silva. “Calyptia Core makes it easier to run your business.”

Calyptia Core is available now and integrates with all major backends used for storing and analyzing observability data (Splunk, Datadog, OpenTelemetry, Elasticsearch, S3, etc.). It complements a business’s existing observability analytics, monitoring, and security tools. Other benefits include:

- Reduced cost from using instream processing to route or remove nonessential data to lower-cost storage, ultimately reducing the data stored and processed by expensive search and analytics tools

- Enhanced security by removing the requirement to share secrets and credentials between data sources and destinations

- High-performance scaling that can process petabytes of data across thousands of sources and destinations per day while maintaining low CPU and memory footprints

- Flexible with powerful processing rules for adding information that would otherwise be unavailable further downstream or removing information that should not be stored

Calyptia Core also includes automation of data collection, ability to create custom data pipelines for aggregation that facilitates data processing and filtering, a control plane to provide fine-grained management of the process and extensive developer toolsets to simplify enterprise adoption.

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Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...

The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...

As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...

We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...

Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...

Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...