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Pico Releases Corvil Analytics 9.7

Pico announced general availability of Corvil Analytics 9.7.

Corvil Analytics 9.7 simplifies managing network, trading and market data performance with unique visualizations and simple workflows. For example, users can overlay bespoke images of their network and business applications with Corvil’s real-time analytics, enabling an at-a-glance intuitive understanding of performance for all stakeholders.

“Corvil Analytics 9.7 maintains Pico’s focus on innovation that enhances user ability to investigate and resolve issues quickly and easily to ensure robust digital services in complex and evolving environments,” said Stacie Swanstrom, Chief Product Officer at Pico. “This release, together with our flagship 10000 appliance’s ability to simultaneously capture and process at 100Gbps, enables the Corvil platform to set the benchmark for insight-powered network analytics.”

Key highlights in today’s Corvil Analytics 9.7 platform announcement include:

■ Managing Complexity and Scale

- Scalable Analytics Architecture to meet the ever-increasing packet data volumes to capture, analyze, filter and query. New capabilities to handle increasing 100G data rates include 100Gb sustained packet capture and network analytics and 10x faster loading of analytics at peak times.

■ Improved Workflow Efficiency

- Data Comparison across a global deployment with hundreds of instrumentation points to visualize side-by-side comparisons of performance at different times and multiple points in the network. This workflow is designed to be intuitive for infrequent users across global network operations teams who need to identify changes in network behavior to help isolate the root cause of end user issues.

- Drag and Drop Packet Capture (PCAP) Analysis enables the use of PCAPs from multiple sources in the Corvil UI for full analytics and visualization. Regardless of capture source, using the same tool gives the consistency required for optimum PCAP-based troubleshooting. Additional features include Wireshark-like analytics exploration and workflows as well as Layer 2 filtering with per-packet analysis.

■ Enhanced InfoSec Support

- Continuous Appliance Security Hardening with existing capabilities like encryption of all data at rest to prevent data exfiltration through the removal of hard drives and the added support for SNMPv3, encryption of all email communications and removal of support for older encryption standards.

Corvil Analytics 9.7 also provides the base architecture for building new AI and machine learning technologies. Ongoing algorithm development efforts include an initiative focused on baselining and anomaly detection for traffic patterns typical in financial institutions. This will allow for the detection of changes in network behavior to be automated and proactively alert network operations to potential issues in the environment.

The Corvil Analytics 9.7 release will be available to download and deploy this week

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Pico Releases Corvil Analytics 9.7

Pico announced general availability of Corvil Analytics 9.7.

Corvil Analytics 9.7 simplifies managing network, trading and market data performance with unique visualizations and simple workflows. For example, users can overlay bespoke images of their network and business applications with Corvil’s real-time analytics, enabling an at-a-glance intuitive understanding of performance for all stakeholders.

“Corvil Analytics 9.7 maintains Pico’s focus on innovation that enhances user ability to investigate and resolve issues quickly and easily to ensure robust digital services in complex and evolving environments,” said Stacie Swanstrom, Chief Product Officer at Pico. “This release, together with our flagship 10000 appliance’s ability to simultaneously capture and process at 100Gbps, enables the Corvil platform to set the benchmark for insight-powered network analytics.”

Key highlights in today’s Corvil Analytics 9.7 platform announcement include:

■ Managing Complexity and Scale

- Scalable Analytics Architecture to meet the ever-increasing packet data volumes to capture, analyze, filter and query. New capabilities to handle increasing 100G data rates include 100Gb sustained packet capture and network analytics and 10x faster loading of analytics at peak times.

■ Improved Workflow Efficiency

- Data Comparison across a global deployment with hundreds of instrumentation points to visualize side-by-side comparisons of performance at different times and multiple points in the network. This workflow is designed to be intuitive for infrequent users across global network operations teams who need to identify changes in network behavior to help isolate the root cause of end user issues.

- Drag and Drop Packet Capture (PCAP) Analysis enables the use of PCAPs from multiple sources in the Corvil UI for full analytics and visualization. Regardless of capture source, using the same tool gives the consistency required for optimum PCAP-based troubleshooting. Additional features include Wireshark-like analytics exploration and workflows as well as Layer 2 filtering with per-packet analysis.

■ Enhanced InfoSec Support

- Continuous Appliance Security Hardening with existing capabilities like encryption of all data at rest to prevent data exfiltration through the removal of hard drives and the added support for SNMPv3, encryption of all email communications and removal of support for older encryption standards.

Corvil Analytics 9.7 also provides the base architecture for building new AI and machine learning technologies. Ongoing algorithm development efforts include an initiative focused on baselining and anomaly detection for traffic patterns typical in financial institutions. This will allow for the detection of changes in network behavior to be automated and proactively alert network operations to potential issues in the environment.

The Corvil Analytics 9.7 release will be available to download and deploy this week

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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 ...