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Juniper advances AI networking software with congestion control, load balancing

Network World

The additions enable congestion control, load-balancing and management capabilities for systems controlled by the vendor’s core Junos and Juniper Apstra data center intent-based networking software. Despite congestion avoidance techniques like load-balancing, there are situations when there is congestion (e.g.,

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10 most in-demand enterprise IT skills

CIO Business Intelligence

Kubernetes Kubernetes is an open-source automation tool that helps companies deploy, scale, and manage containerized applications. Its a common skill for cloud engineers, platform engineers, site reliability engineers, microservices developers, systems administrators, containerization specialists, and DevOps engineers.

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Cisco Live: AI takes center stage

Network World

The package simplifies the design, deployment, management of networking, compute and storage to build full-stack AI wherever enterprise data happens to reside.” The company also extended its AI-powered cloud insights program.

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Kyndryl bolsters its Bridge infrastructure services

Network World

Through Kyndryl Bridge, the company has introduced more than 190 new services in the past couple of years. AI-readiness services on tap Moving forward, there are a number of areas Shagoury said the company is focused on developing with Bridge. Kyndryl also partners with several cloud vendors for its mainframe modernization services.

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Google opens second cloud region in Germany

CIO Business Intelligence

Dubbed the Berlin-Brandenburg region, the new data center will be operational alongside the Frankfurt region and will offer services such as the Google Compute Engine, Google Kubernetes Engine, Cloud Storage, Persistent Disk, CloudSQL, Virtual Private Cloud, Key Management System, Cloud Identity and Secret Manager.

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When Using Cloud Computing to Replicate is the Right Idea

Data Center Knowledge

Cloud Computing » Storage. With a well-planned deployment, and a good infrastructure, companies can efficiently load-balance their IT environment between multiple active, cloud-based, sites. So, if one site should go down – users would transparently be balanced to the next nearest or most available data center. .

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Similarly, a company may decide to keep its most critical data – everything from financial records to engineering files – local where it can protect this data best. It also requires hard drives to provide reliable long-term storage. Spreading the load in this manner reduces latency and eliminates bottlenecks.

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