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Dell Technologies expands multi-cloud experiences

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Dell


Dell Technologies is delivering new cloud experiences to help customers manage and protect applications across data centres and multi-cloud environments.

These new offerings are designed to help organisations easily store, protect and control their data and applications across an increasing number of platforms and locations.

Chuck Whitten, co-chief operating officer, Dell Technologies, said: “Our customers want help reducing complexity and are seeking solutions that use a common approach to managing data wherever it lives – from public clouds, to the data center, to the edge. We are building a portfolio of software and services that simplifies on-premises and multi-cloud environments and offers.”

Karen S. Lynch, president and CEO, CVS Health, said: “We are making bold moves to deliver solutions that are connected and increasingly digital to create a superior health care experience for consumers. Our strategic collaboration with Dell is helping accelerate the value of our technology investments for our colleagues and consumers.”

According to a recent Gartner report, global information security and risk management end user spending will reach around $168 billion in 2022, up over $13 billion from 2021.1 As cyber protection continues to become a greater priority, Dell is providing new options for managed cyber recovery offerings and public cloud cyber recovery solutions for multi-cloud environments.

Dell is bolstering its APEX portfolio with the introduction of Dell APEX Cyber Recovery Services. The first in a series of new APEX full stack solutions that deliver a cloud experience, APEX Cyber Recovery Services simplifies recovery from cyberattacks. Dell manages the day-to-day cyber recovery vault operations and assists with data recovery. Dell is delivering an as-a-Service experience with standardised configurations, simplified Dell-assisted recovery options and expertise from nearly 2,000 isolated vault solutions deployed globally.

Dell is extending the reach of its multi-cloud ecosystem and speeding access to its data protection offerings for public clouds with the release of Dell PowerProtect Cyber Recovery for Microsoft Azure. The new service will join a broad portfolio of Dell offerings available through Microsoft Azure Marketplace and will allow organisations to:

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  • Deploy an isolated cyber vault in the public cloud to more securely protect and isolate data away from a ransomware attack, improving cyber resiliency and helping reduce the impact of cyberattacks.
  • Provide flexible recovery options in the event of a cyberattack including recovery within the data centre, in a new Azure private network, or in an unimpacted Azure environment.

Dell also builds on its collaboration with AWS by announcing CyberSense for Dell PowerProtect Cyber Recovery for AWS. With the offering, organisations will be able to:

  • Use adaptive analytics, scan metadata and complete files, and implement machine learning and forensic tools to detect, diagnose and speed data recovery.
  • Monitor files and databases to determine if a cyberattack has occurred and identify the last known uncorrupted copy of data to speed a more secure and confidential recovery.

Building on January’s introduction of Project Alpine, Dell is demonstrating how its storage software could be used in public clouds such as AWS and Azure. Project Alpine will provide data mobility and consistent operations across on-premises and public cloud environments. Organizations will be able to quickly deploy or easily consume Dell storage software and services that will offer performance in the public cloud efficiency and protection based on industry-leading enterprise storage.

With Dell storage software in the public cloud, customers will be able to seamlessly move data to the cloud and leverage cloud-based analytics services. Developers can write applications once and deploy them anywhere they are needed to create a consistent, cloud-native experience across multiple public clouds.

Dell and Snowflake will work together to connect data from Dell enterprise storage with the Snowflake Data Cloud. A first of its kind, this collaboration will give customers greater flexibility operating in multi-cloud environments, meet data sovereignty requirements, and easily turn data into insights wherever it resides.

Dell and Snowflake customers will be able to use on-premises data stored on Dell object storage with the Snowflake Data Cloud while keeping their data local or seamlessly copying it to public clouds. The companies will pursue product integrations and joint go-to-market efforts in the second half of 2022.



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TECHNOLOGY

How Businesses Can Automate Root Cause Analysis (RCA) With Machine Learning

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How Businesses Can Automate Root Cause Analysis (RCA) With Machine Learning


In the event of a severe incident for your business, you need to analyze what exactly changed (the root cause) to understand its impact.

Using machine learning for root cause analysis can help identify the event that caused the change quickly and easily.

Things can sometimes go wrong in your business’s daily operations. It can be a minor issue, such as a system outage lasting for a couple of minutes. Or it can be something severe as a cyberattack.

Generally, such events result from a chain of actions that eventually culminate in the event. Identifying the root cause is the best way to solve the issue. But manual root cause analysis takes time and often doesn’t provide the exact cause of a mishap. Using machine learning for root cause analysis can automate the process, helping identify the underlying cause quickly and with higher accuracy.

Power of Machine Learning for Root Cause Analysis

To understand why an issue occurred, you need to identify the root cause. But root cause analysis can often be complex and provide inaccurate results. Using machine learning for root cause analysis helps solve this issue.

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Log Analysis

Using machine learning for root cause analysis can help zero in on the exact location of the problem. You don’t have to scroll through infinite logs to identify which components were impacted and when. The machine learning program can automatically and quickly find the root cause by analyzing a given log data set. 

Moreover, the machine learning program can even predict future incidents as more and more data is available. The program compares real-time data with historical data to predict future outcomes and warns you of any unwanted incident beforehand. This will help improve your incident response, reduce downtime and improve productivity.

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Benefits of Using Machine Learning for Root Cause Analysis

There are many benefits of using machine learning for root cause analysis. It can help teams take the right action at the right time, minimizing your losses. Some of the benefits are discussed below.

Reduces Costs

The cost of solving the issue is reduced as your teams don’t have to guess and work around blind spots. Machine learning tools locate the exact line of code responsible for a performance issue, and your team can start working on fixing it right away.

Saves Time

The time spent fixing the issue is significantly reduced as it helps solve business pain faster by locating the cause quickly and accurately.

Provides Long-Lasting Solutions

Machine learning tools provide a permanent solution for your problems and foster a productive and proactive approach.

Grows Your Business

Using machine learning for root cause analysis helps improve the efficiency and productivity of your organization, which eventually leads to business growth.

 

No system is perfect. Incidents will happen, no matter what. But what you do afterward is in your control. Root cause analysis should be done as soon as possible. Using machine learning for root cause analysis not only improves your incident response, but over time, it can also help prevent incidents from happening in the first place.



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