Operations | Monitoring | ITSM | DevOps | Cloud

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.

"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.

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.

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?

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.

Happy holidays! It’s that time of year when people brainstorm their New Year’s resolutions, and companies are laying out plans to hit the new year with a fresh cost management strategy in place. If you’re in the latter boat, check out these end-of-year wrap-ups that will help you start 2025 on the right foot, financially speaking. Enjoy!

So you’re an MSP supporting tens, hundreds or maybe even thousands of clients. Then there’s a good chance that you’re offering services for more than one cloud vendor. You may even have clients who are Multi-Cloud (using more than one cloud vendor).

'Why settle for partly cloudy?' That's why Site24x7 went all in on making multi-cloud monitoring smarter, faster, and a lot less stressful. IT teams faced the usual chaos—expired certificates, rogue servers, and surprise bottlenecks—but Site24x7 stepped in with a toolkit so sharp, it could cut through latency like butter.

Managing modern, complex IT systems manually is like navigating a vast, ever-changing city without a map, GPS, or road signs. Imagine driving blindfolded, relying solely on occasional radio updates (logs) about traffic jams (issues) and detours (system changes). Not only does this method slow you down, but by the time you react to a traffic jam, it’s already caused gridlock across the city. Worse, competitors zipping through the city with autonomous cars (AIOps) are faster and more efficient.