16 Results Found
Examine the evolution from physical servers to VMs to containers and the driving factors behind this change. Also review the available container management solutions on AWS, Google Cloud Platform and Microsoft Azure.
Amazon Web Services (AWS) offers increased agility, developer productivity, pay-as-you-go pricing and overall cost savings. But you might wonder where to start, what pitfalls exist and how can you avoid them? How can you best save time and money? Learn what you need to know and where to start before launching an AWS-hosted service.
Learn how Docker makes it easy to update, test and debug software with this white paper and gain foundational knowledge about Dockerfile, Docker images and containers.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).
AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.
Cisco Collaboration Systems Release (CSR) 10.6, along with CUCM 10.5(2), enhances the user and administrator experiences and interactions. In many cases, a change to one product may necessitate changes to other products. For example, where the deployment options for video conference control changed to place all control behind the Telepresence Conductor, Cisco Prime Collaboration management tools had to be updated to reflect this new deployment approach. As new endpoints are added, CUCM and Prime Collaboration both needed to be updated to reflect the new endpoints.
The Cisco Unified Collaboration solutions offer anytime, anywhere access for organizations who need instant access to clients, vendors and remote employees. Cisco products enable authorized external users to connect to corporate resources, create different user groups and manage large scale deployments. Learn how Cisco Unified Collaboration infrastructure products can help you provide everything from call control which provides signaling and dial plan support to the expressway series providing firewall traversal for external access.
Your clients, vendors and workforce don't always operate in the same building, state or country. Cisco Collaboration Endpoint products make communicating with your counterparts across town or on the other side of the world easy. This white paper provides you with product specifications and capabilities for Cisco's phone, desktop, and large screen immersive videoconferencing options.