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cPacket Announces AWS Gateway Load Balancer

cPacket Networks has worked with Amazon Web Services (AWS) to integrate with its newly launched AWS Gateway Load Balancer (GWLB) service, which makes it easy to deploy, scale, and manage third-party virtual appliances.

cPacket solutions also integrate with the Amazon Virtual Private Cloud (VPC) Traffic Mirroring service.

As more enterprises move to the cloud, they are looking for better alternatives to traditional models. Better visibility into network traffic in the cloud is a requirement for effective application experience and security delivery and is becoming key to scalable IT operations. GWLB is designed to provide a fully fault tolerant, transparent, and horizontally scalable service with separation of security and user domains. This enables IT teams to decouple virtual appliances, such as the cPacket cCloud suite including cVu-V packet broker, cStor-V packet capture, and cClear-V analytics, from everything else running in the Virtual Private Cloud and offer them as a separate, highly reliable, highly scalable appliance-as-a-service.

cPacket cVu-V is a multi-cloud virtual packet broker supporting both in-line and traffic-mirroring modes in the cloud. GWLB, with ingress routing, front-ends the cVu-V providing seamless network intelligence, security delivery, and brokering services to cloud-native tools. With the integrated solution, network packet data can be delivered effectively and securely in north-south directions across the internet, availability zones, and VPCs. cPacket cCloud solution provides actionable insights built on rich packet data analysis such as stateful analysis for TCP and real-time UDP applications for application experience monitoring, as well as access to packet data for security delivery and forensics.

“cPacket’s cCloud solution enables our customers to realize their cloud migration plan and gain the visibility they need. The tight integration with AWS Gateway Load Balancer allows us to offer turn-key solutions that greatly simplify IT operations,” said Paola Moretto, VP of System Engineering at cPacket Networks.

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cPacket Announces AWS Gateway Load Balancer

cPacket Networks has worked with Amazon Web Services (AWS) to integrate with its newly launched AWS Gateway Load Balancer (GWLB) service, which makes it easy to deploy, scale, and manage third-party virtual appliances.

cPacket solutions also integrate with the Amazon Virtual Private Cloud (VPC) Traffic Mirroring service.

As more enterprises move to the cloud, they are looking for better alternatives to traditional models. Better visibility into network traffic in the cloud is a requirement for effective application experience and security delivery and is becoming key to scalable IT operations. GWLB is designed to provide a fully fault tolerant, transparent, and horizontally scalable service with separation of security and user domains. This enables IT teams to decouple virtual appliances, such as the cPacket cCloud suite including cVu-V packet broker, cStor-V packet capture, and cClear-V analytics, from everything else running in the Virtual Private Cloud and offer them as a separate, highly reliable, highly scalable appliance-as-a-service.

cPacket cVu-V is a multi-cloud virtual packet broker supporting both in-line and traffic-mirroring modes in the cloud. GWLB, with ingress routing, front-ends the cVu-V providing seamless network intelligence, security delivery, and brokering services to cloud-native tools. With the integrated solution, network packet data can be delivered effectively and securely in north-south directions across the internet, availability zones, and VPCs. cPacket cCloud solution provides actionable insights built on rich packet data analysis such as stateful analysis for TCP and real-time UDP applications for application experience monitoring, as well as access to packet data for security delivery and forensics.

“cPacket’s cCloud solution enables our customers to realize their cloud migration plan and gain the visibility they need. The tight integration with AWS Gateway Load Balancer allows us to offer turn-key solutions that greatly simplify IT operations,” said Paola Moretto, VP of System Engineering at cPacket Networks.

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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 ...

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