Transforming Your Business to More Digital Capable and cloud Consumable Applications and Services

The cloud landscape continues to evolve as businesses move to multi-cloud approaches for developing, deploying and delivering applications. This mix of public, private, on-premises, off-premises, cloud interconnects, and SaaS creates a number of strategy and implementation challenges. By partnering with managed IT services, New York businesses as well as those around the globe are finding ways to mitigate those challenges.

Though the needs of each business and the paths may be slightly different, they all can deliver cloud consumable applications and services needed by a digital capable business. The shared goal is to take advantage of all available options to efficiently, flexibly and cost effectively deliver a growing portfolio of applications and services. These managed services solutions enable efficient application management across providers and models.

The leading managed services providers can deliver all connectivity solutions as well as access to a huge list of cloud providers. This helps businesses develop a detailed approach to their digital operational and customer facing capabilities.

The first step is to start with business goals that inform decisions about application and services migration, placement, management and monitoring. These managed services solutions will provide a centralized ability to weigh costs, access, security, compliance and myriad other factors to come up with an answer across all the varying cloud formations.

Data center managed services provide end customers with access to:

• IT expertise for engineering, management and monitoring of assets and environments via best practices that support ad hoc and ongoing needs
• New skills and solution provider resources across infrastructure, technical management and cross vendor application management

Application access and uptime is critical to every business, so monitoring becomes an important component to cloud data center operations.

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Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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3 Reasons Why You Should Adopt Hybrid Cloud Strategies

The public cloud was once hailed as the premier option for unlimited, accessible data storage. However, on-premise private cloud solutions still offer better security, speed and control – especially when managing private data. Find out why hybrid cloud strategies are the best way for companies to enjoy the benefits of both private and public cloud storage – and how colocation service providers support such needs.

Workflows and Partnerships

Colocation facilities can support the collaboration benefits of a hybrid cloud strategy in multiple ways. Foremost, tenants in a colocation service provider can securely access one another’s applications and data upon mutual request. This creates a safe space in which to collaborate, expanding each businesses capabilities in a secure way that wouldn’t otherwise be achievable.

Another benefit of hybrid cloud models is that they offer decreased latency, which is the length of delay between a service and a request. Latency is often improved when cloud servers are geographically closer to the request source, as the request has a shorter distance to travel. Since a colocation service provider allows companies to store their private cloud in a nearby location, this can help increase latency when the public cloud isn’t as fast. In turn, this helps increase workflows by speeding up requests.

Security, Control, and Colocation Service Provider

Today’s businesses are seeking increased flexibility in data management without having to sacrifice high-stakes security. This is especially true for the healthcare, finance and retail industries, which often have certain compliance regulations regarding how and where data can be stored.

Although these companies can’t store such data on the public cloud, they often still need access to applications and tools that are available only on the public cloud. Data center colocation providers are a great solution to these security and accessibility needs because they keep private patient and customer information secure while meeting strict requirements. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Understanding The Role of Artificial Intelligence in The Data Center Industry

The amount of global data being stored, processed and managed continues to grow exponentially each day. In turn, artificial intelligence is playing a pivotal role in helping data center service providers capture, process and analyze this data at a faster and more powerful rate than ever before. From automated monitoring systems to advanced energy savings, here’s how artificial intelligence is improving the operations and efficiency of global data centers.

What Artificial Intelligence Means for Data Center Service Providers

Artificial intelligence isn’t a new concept, and tools like face detection and voice recognition already play a major role in our daily lives. Strava, Inc. Staff Engineer Drew Robb adds that object identification, classification, and other forms of geographic and identity detection are leading AI uses in the enterprise market.

All of these applications place an increased strain on data centers because they require increased data storage and processing in order to run. Managing this immense increase in data requires that the data center industry scale, adapt, and acquire more computing power. Artificial intelligence enables the data center service provider to meet such demands in a variety of ways, including operational automation, elastic computing power and predictive maintenance.

Improving Data Center Efficiency

Increased data processing requires that data centers keep hardware cool. With more data to process and hardware working harder, however, this drives up energy costs and increases the overall resource footprint of data centers.

Fortunately, machine learning is playing a vital role in helping companies understand their data center energy consumption. As explained in Datacenter Dynamics, artificial intelligence is being used to analyze temperature set points, evaluate cooling equipment and test flow rates. The use of AI-powered smart sensors can receive data from numerous sources and relay that information as environmental, electrical and mechanical insights. In addition to detecting sources of energy inefficiencies, machine learning can also be automated to make informed decisions that reduce data center energy consumption and cut costs.

Software solutions business manager Stefano D’Agostino adds that, “innovative startups are using intelligent machines with self-learning algorithms to optimize the allocation of the IT load itself so that optimal cooling can be achieved.” The benefits of such technology is already being realized, and statistics from The Data Center Science Center show that advancements in UPS efficiency and cooling energy losses have helped ordinary data centers cut physical infrastructure costs by 80% over the last decade.

This shows that, even though artificial intelligence technology is partly responsible for an increase in data center processing, it can also be used to mitigate its own increases in energy consumption.

Strengthening Data Center Security

In addition to improving energy efficiency, AI can also improve security of a data center. New York businesses rely on Telehouse because we’re committed to proactively managing customer data and reducing security risks wherever possible. We’re also tuned in to the latest advancements in AI security applications, which can screen and analyze data for security threats at a more thorough and rapid rate. AI can also help assess normal and abnormal patterns, detect malware and spam, identify weak areas and strengthen protection from potential threats.

Detecting and Reducing Downtime
Another way that artificial intelligence can influence the modern data center service provider is through improved outage monitoring. In fact, AI monitors have the ability to predict and detect data outages before they even occur. They also have the ability to track and detect server performance, disk utilization, and network congestions.

Today, artificial intelligence offers advanced predictive analytics services that make it easier and more reliable to monitor power levels and potential trouble areas. Click here to visit original source....

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

Read More