Following best-in-class logging practices can provide your team with better visibility into application and infrastructure performance data, helping to reduce mean-time-to-resolve (MTTR). In this white paper from New
It seems that everyone’s talking about “cloud native” — distributed systems, microservices, containers, serverless computing, and other emerging technologies and architectures. It’s clear that we’ve quickly evolved from
Microservices. Kubernetes. Service mesh. Serverless. These “cloud native” technologies are becoming an essential part of digital transformation efforts for modern enterprise IT. It’s clear this trend is following
You may be embracing DevOps—you may have put in new processes, integrated some new tools, and you’re adjusting to new collaborative practices across your org—but there’s something missing.
Achieving success across the five drivers discussed here – innovation/ business success, customer experience, application performance, speed, and quality – would be impossible using a traditional waterfall approach
Despite its overwhelmingly positive impact, the rise of cloud computing has undoubtedly created many new challenges for the development and operations of applications. But those very challenges also
Now that you’ve made the decision to migrate, where do you start? What does success mean? How do you ensure you don’t regress in performance? There is an
Cloud computing changes everything, and application and infrastructure monitoring are hardly exceptions. The flexibility, scale, services, and pay-as-you-go pricing options provided by modern cloud platforms—Amazon Web Services (AWS),
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