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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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While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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