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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.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...