Latest news with #CloudRun
Yahoo
2 days ago
- Business
- Yahoo
Can Cloudflare's Workers Platform Lead Its Next Phase of Growth?
Cloudflare's NET first-quarter 2025 results show that its Workers platform may become a key part of its future growth. The company signed its biggest-ever deal, worth more than $100 million, mainly because of the Workers platform. This deal shows that large customers now see Cloudflare as more than just a security or network company. Cloudflare Workers lets developers build and run applications closer to users. Since its launch in 2017, the platform has been adopted by more than three million developers who are actively using the platform. Cloudflare Workers started as a serverless platform that helped developers to build, deploy, and scale applications across Cloudflare's global network. Convenient to use, the Workers platform enabled developers to take actions using a single command and reduced infrastructure management and configuration complexities. Now the company is evolving the platform with AI implementation. The Workers AI tool embedded inside the Workers developer platform has experienced an explosive 4,000% year-over-year rise in inference requests as reported in the first-quarter earnings. Cloudflare is now focusing on enriching its Workers platform with the Model Context Protocol (MCP) server. The MCP server running inside its Workers platform will enable its clients to leverage MCP's standardized, low-latency connection between AI models and software platforms. This will further help these clients to deploy AI agents to simplify tasks like managing workflows, handling transactions, or querying business data. This value addition can trigger more upsells and customer acquisition, hence boosting this platform's growth. Alphabet GOOGL and Amazon AMZN also provide general-purpose serverless and container-based edge deployment solutions. Alphabet offers Google Cloud Functions + Cloud Run with Cloud CDN, while Amazon Web Services offers Lambda & Lambda@Edge. While Alphabet is implementing AI in its Cloud Run solution, Amazon's AWS Lambda & Lambda@Edge leverage deep integrations with AWS services, robust tooling, and a mature developer base. Additionally, AWS Fargate is the AWS service that also enables serverless compute for containers. Cloudflare provides configuration-less auto-scaling, a high-performance global network, and low latency in serverless services that are compatible with all the major programming languages, including JS, Rust, C, and C++, so it will thrive in this competitive environment. Cloudflare's Price Performance, Valuation and Estimates Shares of NET have surged 66.5% year to date compared with the Zacks Internet - Software industry's growth of 13.2%. Image Source: Zacks Investment Research From a valuation standpoint, NET trades at a forward price-to-sales ratio of 26.61X, higher than the industry's average of 5.68X. Image Source: Zacks Investment Research The Zacks Consensus Estimate for NET's fiscal 2025 and 2026 earnings implies year-over-year growth of 5.33% and 31.62%, respectively. The estimates for fiscal 2025 earnings have been revised downward in the past 60 days and the 2026 earnings have been revised downward in the past seven days. Image Source: Zacks Investment Research NET currently carries a Zacks Rank #3 (Hold). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (AMZN) : Free Stock Analysis Report Alphabet Inc. (GOOGL) : Free Stock Analysis Report Cloudflare, Inc. (NET) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Hans India
14-05-2025
- Business
- Hans India
The End of Manual Cloud Management: Veteran Engineer's Solution Automates Scaling for 100+ Node Clusters
Cloud infrastructure has matured into a cornerstone of modern enterprise operations, but the pressure to make it faster, cheaper, and smarter continues to rise. As businesses scale across digital channels, physical logistics, and multi-regional markets, traditional cloud management methods, manual provisioning, static thresholds, and reactive scaling, prove too brittle. The industry is now witnessing a paradigm shift toward intelligent, self-managing systems that can scale instantly, recover autonomously, and optimize continuously. At the heart of this evolution is a confluence of platform-native capabilities, infrastructure-as-code, and automation-first design principles, transforming infrastructure from a support function to a strategic enabler. Working at the intersection of cloud-native architecture and automation, Vivek Prasanna Prabu has delivered cutting-edge scaling solutions across Google Cloud Platform (GCP), AWS, and Azure. 'My core mission has always been to eliminate infrastructure firefighting,' he shares. 'I focus on designing systems that scale and self-heal without asking for permission.' His achievements span a broad range of high-impact initiatives, including the development of a fully automated vertical and horizontal scaling solution for over 100-node clusters across production systems, completely removing manual intervention from critical operations. This cross-platform system integrated GCP's custom machine types, AWS Auto Scaling groups, and Azure VM Scale Sets, delivering a consistent, intelligent experience regardless of provider. Among the most transformative contributions is a scalable Warehouse Management System (WMS) on GCP, which achieved 99.99% uptime and improved operational speed by 40%. The system processed over two million transactions per day and featured advanced telemetry through Google Cloud Operations Suite. In another major engagement, he modernized an outbound logistics and finance integration platform, decoupling services and utilizing Cloud Run, Pub/Sub, and Cloud SQL for dynamic elasticity, resulting in a 30% reduction in infrastructure cost. His efforts in these areas weren't confined to infrastructure alone; he also led cross-cloud initiatives involving finance integration and inventory visibility, demonstrating holistic thinking across business and technology. Certified as a Google Cloud Professional Cloud Architect, he paired his technical fluency with results. His work has led to a 60% improvement in deployment velocity through CI/CD pipelines using Cloud Build, Code Pipeline, and Azure DevOps. Moreover, cost optimization strategies involving custom machine types, Spot Instances, and Reserved Instances helped reduce monthly infrastructure overhead by up to 30%. 'The key is not overprovisioning, but real-time adaptability,' he explains. 'Infrastructure should scale with context, reacting to actual workloads, not assumptions.' In latency-sensitive environments, where compute- and memory-bound services dominate, traditional horizontal scaling often fails to meet SLAs. Vivek overcame this by developing a policy-driven automation layer using GCP-native services, thus allowing node replacements and memory scaling to occur seamlessly in production. In another case, he successfully integrated legacy warehouse workflows with cloud-native systems by introducing modular service design and standardized API layers bridging the cloud-readiness gap across functions. Internally, his work reshaped how organizations approach infrastructure. By leading cross-functional collaboration between DevOps, application developers, and product owners, he has enabled a shift from reactive cloud operations to proactive engineering. His architecture not only improved system resilience but helped reframe cloud strategy as a key driver of growth and agility. 'When infrastructure disappears from the problem space, product teams can finally focus on what matters- value delivery,' he notes. Looking ahead, he envisions a world where infrastructure evolves beyond automation to intent-driven, predictive optimization. 'We're on the verge of cloud systems that don't just scale, they anticipate,' he explains. With emerging AI-integrated planning tools in GCP and other platforms, he sees a future where infrastructure aligns itself not just to usage metrics, but to behavioral patterns and business signals. He also emphasizes the growing relevance of vertical scaling in cloud-native design, particularly in environments where micro-services must scale without increasing system complexity or state-management overhead. He has published remarkable papers like'Leveraging Cloud Computing for Scalable Warehouse Management Systems' and 'Next-Generation Cloud Architectures for Real-Time Retail Data Processing.' Both pieces delve deeper into the principles and outcomes that have defined his approach: automation-first architecture, cross-platform elasticity, and self-managing systems that move at the speed of business. In an era where speed, resilience, and efficiency are table stakes, Vivek Prasanna Prabu's work exemplifies the kind of innovation that enables true enterprise transformation. His contributions go beyond cloud engineering, they represent a vision for infrastructure that adapts, responds, and thrives in a dynamic digital economy.
Channel Post MEA
03-04-2025
- Channel Post MEA
Tenable Identifies GCP Vulnerability
Tenable has identified a privilege escalation vulnerability in Google Cloud Run called ImageRunner. The vulnerability could have allowed attackers to bypass permissions, gain unauthorised access to container images and potentially expose sensitive data. Cloud Run, Google's serverless container platform, uses a service agent with elevated permissions to pull private Google Container Registry or Artifact Registry images. According to Tenable researchers, an attacker with edit permissions on Cloud Run could exploit these inherited permissions to retrieve a container image and use it to deploy applications, demonstrating the risks associated with cloud service interdependencies. ImageRunner exemplifies what Tenable has coined the Jenga® Concept, the tendency for cloud providers to build services on top of one another, thus security risks and weaknesses in one layer cascade into other services. 'In the game of Jenga, removing a single block can undermine the entire structure,' said Liv Matan, Senior Security Researcher at Tenable. 'Cloud services function similarly if one component has risky default settings, those risks can trickle down to dependent services, increasing the risk of security breaches.' Potential Impact of ImageRunner Exploitation If exploited, ImageRunner could allow attackers to: Inspect private container images, extracting sensitive information or secrets. Modify deployment parameters to execute unauthorised code. Exfiltrate critical data for cyberespionage or malicious activities. Google has addressed ImageRunner and no additional action is required. Recommendations for Security Teams While no user action is required to mitigate ImageRunner, Tenable recommends organisations to: Follow the least privilege model to prevent unnecessary permission inheritance. Map hidden dependencies between cloud services using tools like Jenganizer. Regularly review logs to detect suspicious access patterns. 'The discovery of ImageRunner reinforces the need for proactive cloud security measures. As cloud environments grow more complex, security teams must anticipate and mitigate risks before attackers exploit them,' added Matan. 0 0
