Devops.com
Just when you thought everything was better. Kubernetes orchestration was supposed to be the answer to the application resource nightmare, but it hasn’t worked out that way. Even more visibility challenges, constantly changing applications, and super-frequent update schedules all contribute to a miserable time monitoring application performance in orchestrated environments. But all is not lost – there is a way to effectively manage the performance of orchestrated, containerized applications. It’s more than just newer monitoring agents – it’s a whole new monitoring attitude, and it begins with complete automation. Join our live webinar to learn the absolute necessities when it comes to monitoring these critical orchestrated applications.
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When organizations need to protect their on-premises networks, IT departments typically turn to old, legacy hardware boxes. These hardware boxes are expensive, hard to manage, and slow. To complicate matters further, legacy approaches to connectivity (re: MPLS) and security (re: on-premises firewall and DDoS “scrubbing centers”) just don’t work for today’s distributed workforce and cloud-hosted applications
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Iaria
Cloud economics ,Core cloud services, Cloud technologies, Cloud computing, On-demand computing models; Hardware-as-a-service; Software-as-a-service SaaS applications; Platform-as-service; Storage as a service in cloud; Data-as-a-Service; Service-oriented architecture (SOA); Cloud computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Trust and clouds; Client-cloud computing challenges; Geographical constraints for deploying clouds.
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Meeting cloud storage requirements can be a challenge, calling for effective ways to manage, orchestrate, and optimize data throughout its lifecycle and across platforms.
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