Cloud computing is like the modern, virtual frontier where organizations can scale their operations with just a click. But, building your cloud infrastructure is not just about choosing servers and storage. It’s also about establishing a secure, efficient network to ensure your applications run smoothly and your data is protected. Think of your cloud network as a cloud city.

Kubernetes (K8s) has transformed cloud-native infrastructure, enabling enterprises to build scalable, agile environments. Yet, alongside its benefits, Kubernetes introduces a significant blind spot —a rapidly growing part of cloud budgets that has become more and more difficult to optimize. Excess spend is common, and is caused by incorrectly specified container resources, stranding tremendous amounts of resources while at the same time introducing significant operational risk.

"How can there be an extra 30% overhead in applications like Apache Spark that other optimization solutions can't touch?" That's the question that many Pepperdata prospects and customers ask us. They're surprised—if not downright mind-boggled—to discover that Pepperdata autonomous cost optimization eliminates up to 30% (or more) wasted capacity inside Spark applications.

As organizations transform and modernize their digital operations, the choice of infrastructure isn’t always clean cut. Hybrid cloud architecture is an increasingly popular approach to IT infrastructure, allowing organizations to take advantage of the best features of cloud and on-premises solutions. This approach enables enterprises to optimize workload placement for performance and cost, match applications to ideal environments, and strategically distribute critical assets.

Azure IoT Hub enables you to monitor on-prem devices down to the smallest temperature change and react accordingly from cloud device commands. But how does it work? What other features does Azure IoT have? And, most importantly, how much does it cost? Learn all you need to know about Azure IoT Hub from our expert guide.

Mike Hoy, CTO, Pulsant looks ahead to the next 12 months, identifying some of the challenges organisations are likely to face in delivering AI projects, and highlighting the importance of a resilient, connected infrastructure in meeting these. As AI proofs of concept evolve over the next 12–18 months, they will lay the groundwork for advances in technology.

Managing Azure costs while ensuring performance and scalability can be a complex, resource-intensive process, especially when cost management tools are pieced together and used separately from monitoring solutions. To address this challenge, LogicMonitor is excited to announce cost-savings recommendations for Microsoft Azure compute and storage resources, simplifying cloud cost management with integrated insights.

Petabytes of monthly data transfer. Thousands of concurrent requests per customer. Hundreds of thousands of requests per minute per customer. The JFrog Platform is a mission critical piece of software development and delivery infrastructure for companies that require performance at scale. When you’re supporting thousands of developers, even a minute of downtime or delay can mean millions of dollars lost productivity.

If picking the best database management system (DBMS) were a road trip, both MongoDB and DynamoDB would get you there. Ultimately, it comes down to choosing whether you need the specialized efficiency of DynamoDB within Amazon Web Services (AWS) or the “off-road” flexibility of platform-agnostic MongoDB. What do road trips and off-road antics have to do with deciding between MongoDB vs. DynamoDB?