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Sysdig Introduces Visibility and Security Platform 2.0

Sysdig announced the Sysdig Cloud-Native Visibility and Security Platform (VSP) 2.0, providing enterprises with a unified view of the risk, health, and performance of their cloud-native environments.

With this rich-data platform, service owners, DevOps, and security teams have access to a single source for performance metrics, compliance dashboards, security events, and more to eliminate risk and resolve problems fast. Sysdig fills the cloud-native visibility gap that emerged because legacy security and performance products are blinded by cloud-native architectures. A preview version of VSP 2.0 will be available next month.

“We work daily with the world’s largest financial institutions, government organizations, and media companies. They are all looking for ways to embrace DevSecOps to break down the communication and cost inefficiencies among team silos,” said Payal Chakravarty, VP of Product Management at Sysdig. “Based on their feedback, we created Platform 2.0 to analyze thousands of microservices and dynamically highlight the ones that have performance or security issues that need immediate attention. With a single, operational view to surface performance, compliance, vulnerabilities, and policy data, users are able to triage issues faster, reduce alert noise, and gain massive operational efficiency.”

Using the Overview App on Sysdig’s platform, an enterprise can get an aggregated view of this information tuned to different use cases:

- Service owners can ensure that they are shipping reliable, compliant, and vulnerability-free code pre-production, while understanding the performance of their code in production and whether bottlenecks are slowing downstream services.

- Platform operations and DevOps teams can ensure services are performing well while managing capacity allocation, infrastructure performance, and compliance across all clusters.

- Security teams can get a single, comprehensive view into vulnerability management, compliance, and run-time policy violations.

This overview then provides deep contextual information that allows users to dive deep into Sysdig Secure and Sysdig Monitor to analyze performance metrics, compliance dashboards, security forensics, and more to isolate and remediate problems faster than ever before.

With VSP, Sysdig further scales and simplifies the act of instrumenting, collecting, and storing the granular data required to secure and manage containerized microservices. Alongside this data lives two orders of magnitude more contextual information, for which Sysdig has designed its system to handle natively:

- A single agent based on the extended Berkeley Packet Filter (eBPF) to collect context-rich and deep performance and security data from hosts, containers, orchestrators, network, process, and files across clouds.

- A single, horizontally scalable data platform that ingests, analyzes, and provides operational insights across billions of data points.

- Multi-cloud design that allows Sysdig to run anywhere while securing applications across many clouds.

- Reduce operational overhead by 67 percent or more by eliminating the need for multiple tools.

- Enterprise controls such as Lightweight Directory Access Protocol (LDAP) and service-based access controls.

“By taking advantage of cloud-native architectures, enterprises can right many of the wrongs of legacy technology,” said Loris Degioanni, Founder and CTO of Sysdig. “Sysdig’s contribution is closing the visibility gap with a single platform that unifies performance and security data with all the context needed for highly distributed, ephemeral microservices. We’ve unlocked all this data for any use case, and we did it while reducing the instrumentation tax that enterprises are used to paying for safety and security.”

Sysdig built its platform with an open core, leveraging Falco, Prometheus, and Sysdig Inspect as core cloud-native building blocks for its enterprise-class product.

Sysdig’s history of supporting the Kubernetes and cloud-native ecosystem goes back to 2015. With VSP, Sysdig extends its leadership position in making Kubernetes even friendlier for the enterprise.

Key new Kubernetes-related features include:

- Enhanced Kubernetes monitoring and security with new out-of-the-box dashboards for capacity planning, control plane health and compliance trends, new default alerting rules, Kubernetes benchmark results, out-of-the-box Kubernetes audit policies, and integration with Kubernetes admission controllers.

- Support for new runtimes such as CRI-O and containerd.

- A topological view that dynamically understands Kubernetes orchestration, combining compliance violations, network connections, and performance metrics to provide a more holistic infrastructure status.

- The ability to use Kubernetes metadata to search, correlate, and scope events to narrow down root cause or assess risk profiles.

- Downstream integration forwards events to security information and event management (SIEM) tools such as Splunk.

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Sysdig Introduces Visibility and Security Platform 2.0

Sysdig announced the Sysdig Cloud-Native Visibility and Security Platform (VSP) 2.0, providing enterprises with a unified view of the risk, health, and performance of their cloud-native environments.

With this rich-data platform, service owners, DevOps, and security teams have access to a single source for performance metrics, compliance dashboards, security events, and more to eliminate risk and resolve problems fast. Sysdig fills the cloud-native visibility gap that emerged because legacy security and performance products are blinded by cloud-native architectures. A preview version of VSP 2.0 will be available next month.

“We work daily with the world’s largest financial institutions, government organizations, and media companies. They are all looking for ways to embrace DevSecOps to break down the communication and cost inefficiencies among team silos,” said Payal Chakravarty, VP of Product Management at Sysdig. “Based on their feedback, we created Platform 2.0 to analyze thousands of microservices and dynamically highlight the ones that have performance or security issues that need immediate attention. With a single, operational view to surface performance, compliance, vulnerabilities, and policy data, users are able to triage issues faster, reduce alert noise, and gain massive operational efficiency.”

Using the Overview App on Sysdig’s platform, an enterprise can get an aggregated view of this information tuned to different use cases:

- Service owners can ensure that they are shipping reliable, compliant, and vulnerability-free code pre-production, while understanding the performance of their code in production and whether bottlenecks are slowing downstream services.

- Platform operations and DevOps teams can ensure services are performing well while managing capacity allocation, infrastructure performance, and compliance across all clusters.

- Security teams can get a single, comprehensive view into vulnerability management, compliance, and run-time policy violations.

This overview then provides deep contextual information that allows users to dive deep into Sysdig Secure and Sysdig Monitor to analyze performance metrics, compliance dashboards, security forensics, and more to isolate and remediate problems faster than ever before.

With VSP, Sysdig further scales and simplifies the act of instrumenting, collecting, and storing the granular data required to secure and manage containerized microservices. Alongside this data lives two orders of magnitude more contextual information, for which Sysdig has designed its system to handle natively:

- A single agent based on the extended Berkeley Packet Filter (eBPF) to collect context-rich and deep performance and security data from hosts, containers, orchestrators, network, process, and files across clouds.

- A single, horizontally scalable data platform that ingests, analyzes, and provides operational insights across billions of data points.

- Multi-cloud design that allows Sysdig to run anywhere while securing applications across many clouds.

- Reduce operational overhead by 67 percent or more by eliminating the need for multiple tools.

- Enterprise controls such as Lightweight Directory Access Protocol (LDAP) and service-based access controls.

“By taking advantage of cloud-native architectures, enterprises can right many of the wrongs of legacy technology,” said Loris Degioanni, Founder and CTO of Sysdig. “Sysdig’s contribution is closing the visibility gap with a single platform that unifies performance and security data with all the context needed for highly distributed, ephemeral microservices. We’ve unlocked all this data for any use case, and we did it while reducing the instrumentation tax that enterprises are used to paying for safety and security.”

Sysdig built its platform with an open core, leveraging Falco, Prometheus, and Sysdig Inspect as core cloud-native building blocks for its enterprise-class product.

Sysdig’s history of supporting the Kubernetes and cloud-native ecosystem goes back to 2015. With VSP, Sysdig extends its leadership position in making Kubernetes even friendlier for the enterprise.

Key new Kubernetes-related features include:

- Enhanced Kubernetes monitoring and security with new out-of-the-box dashboards for capacity planning, control plane health and compliance trends, new default alerting rules, Kubernetes benchmark results, out-of-the-box Kubernetes audit policies, and integration with Kubernetes admission controllers.

- Support for new runtimes such as CRI-O and containerd.

- A topological view that dynamically understands Kubernetes orchestration, combining compliance violations, network connections, and performance metrics to provide a more holistic infrastructure status.

- The ability to use Kubernetes metadata to search, correlate, and scope events to narrow down root cause or assess risk profiles.

- Downstream integration forwards events to security information and event management (SIEM) tools such as Splunk.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...