Are you building an application that needs to scale to tens of thousands of concurrent requests per customer? JFrog’s managed service handles hundreds of thousands of requests per minute, leveraging cloud-native technologies like Kubernetes, KEDA, infrastructure auto-scaling, Prometheus, and more. In this webinar, we’ll share our top 5 best practices to achieve top-tier performance. This

Piggybacking off the Cracking the Code session, we take a deeper dive into the topic of LLM Poisoning. AI-assisted coding tools are powerful, but they’re also imperfect. LLMs trained on vast, unvetted codebases can introduce risky patterns and subtle security flaws into your applications. In this episode, we confront the reality of LLM “poisoning” and

As the importance of securing software supply chains continues to grow, DevSecOps practices are being increasingly adopted to meet this demand. The challenge lies in optimizing these processes to ensure developers embrace them without compromising the speed of application development and deployment. Join us for an insightful webinar where we bring together application development and

In an era where AI is reshaping every corner of the software development lifecycle, engineering leaders are under pressure to deliver faster, smarter, and more aligned outcomes—without burning out their teams. Traditional dashboards and static metrics are no longer enough. What’s needed is true engineering intelligence: contextual, and actionable insights that go beyond vanity metrics

The craft of software engineering, and thus the organizational risk that accompanies building applications, is always evolving. From mainframes to web and mobile, waterfall to agile, monoliths to microservices, bare-metal to DevOps and cloud, the past several years have seen massive disruptions to the ways software is developed, and the security tools and processes needed

With the rise of GitOps and cloud adoption, managing infrastructure-as-code (IaC) has become standard in the enterprise. Platform engineering teams are tasked with delivering IaC workflows that give developers speed while maintaining governance, security, and cost control. The challenge? Core open-source tools often lack the integrations and guardrails needed for enterprise use, forcing teams to

Migrating VMware workloads to the cloud can be complex, costly, and disruptive but it doesn’t have to be. Join us to discover how LTIMindtree’s AI-powered VMware migration framework streamlines the process, helping enterprises move to AWS faster, safer, and more cost-effectively. We’ll walk you through our proven strategies, intelligent assessment tools, and AWS best practices

As organizations navigate the shifting landscape following Broadcom’s acquisition of VMware*, many are facing increased costs, reduced service levels, and slower innovation cycles. These challenges are driving a growing urgency to rethink infrastructure strategies and reduce reliance on VMware, especially by migrating workloads from VMware to AWS. Yet, cloud migration can be daunting. It often

With the evolving virtualization market and escalating licensing costs, many IT departments are exploring new strategies. More organizations are considering migrating to Red Hat OpenShift Virtualization on Red Hat OpenShift Service on AWS (ROSA) and leveraging Red Hat Ansible Automation Platform. This approach allows for large-scale migration and seamless day 2 operations of virtual machines.

Businesses are under increasing pressure to modernize their ERP (enterprise resource planning) systems—not just to keep up, but to help their teams do more with less. With the rise of GenAI and machine learning, companies—from the midmarket to small and medium-sized manufacturers and distributors—now have access to the same transformative technology as the largest enterprises, thanks