Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Server Management Best Practices for Data-Driven Organizations
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Server Management Best Practices for Data-Driven Organizations
Big DataExclusive

Server Management Best Practices for Data-Driven Organizations

Any data-driven organization is going to need to manage its own servers if it wants to run data effectively.

Ryan Kh
Ryan Kh
7 Min Read
data server management
Shutterstock Photo License - By Gorodenkoff
SHARE

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards.

Contents
Server Management Practices that All Data-Driven Companies Have to FollowWhat are some of the best practices when it comes to managing your data server?Working with antivirus softwareMonitor your driversDocumentationPatch managementInventory controlPerforming regular backupsManaging hardwareFinal thoughts

Unfortunately, managing your own data server can be overwhelming. You have to make sure that your data is going to be secure from breaches and preserved from potential data outages.

You can keep reading to learn more about how to manage a data server. This is going to be vital for your data management strategy.

Server Management Practices that All Data-Driven Companies Have to Follow

In today’s interconnected world, server management is an essential task for systems administrators, especially in companies that are very dependent on big data. As business data becomes more and more critical to the company operations, it needs backups on servers that are quickly and globally accessible. 

More Read

Top 10 Keys to a Successful Business Intelligence Deployment
Business Intelligence and The Heisenberg Principle
The Future of BI in Two Words
Chrome Experiments: Online Data Visualization
Data Infrastructures

The best server management practices will give you peace of mind knowing your systems are compliant and that your data will be secure while identifying problems before they turn into downtime. Moreover, you want the ability to work remotely without having local IT support available. 

Understandably, data server management can be an arduous task, as it requires a hands-on approach from your end. If your server management overhead is biting off more than it can chew, you should consider serverless computing from a Platform-as-a-Service such as Akka Serverless.

The term “serverless computing” describes a model in which applications are run on cloud platforms and data can be accessed via connected devices or web browsers. Essentially, a serverless vendor handles the backend server management, freeing your team to focus on development and deployment. 

To improve data scalability, service providers allow customers to pay only for what they use (“pay as you go”) rather than making an upfront commitment based upon expected usage patterns. In addition, developers can deploy their apps without worrying about underlying infrastructure or capacity planning. As you can imagine, this method also reduces deployment time. 

That said, if DIY server management still feels like the solution for your business, here’s a comprehensive look at server management best practices to help your server set-up succeed. 

What are some of the best practices when it comes to managing your data server?

Server management is vital for any company looking to reduce costly downtime. Whether it’s a small startup or a Fortune 500, these practices can be the difference between success and failure in today’s data-centric world. 

Working with antivirus software

Antivirus programs are an essential part of any server’s anti-malware solution. However, individual users often have multiple security solutions running simultaneously, leading to conflicts and errors. For these services to work as intended, they need the appropriate management to avoid interfering with one another or causing damage. Redundancy in security can be wise, but it requires a more attentive eye than a single-software solution. 

Monitor your drivers

Drivers are essential because they provide vital links between computer components, software programs, and the operating system. They are vital to any organization that relies on big data.

Since these tiny files control how an entire system operates, they must be regularly updated to avoid any problems or conflicts on a server. Furthermore, outdated drivers can cause compatibility issues with new hardware devices, which the team must consider when planning upgrades.

Documentation

Many people do not think about writing policies on data management until after problems arise. Nonetheless, establishing policy is one of the most beneficial things that administrators can do. Keeping detailed records of previous issues and their solutions can save time and headaches in the future. 

Patch management

Servers are always at risk of attacks by malware or viruses. To help prevent that from happening, administrators must create an effective plan for regularly applying security updates to systems on their networks. 

If not enough time is allowed between updates or different systems have different schedules for updating, you might inadvertently create gaps in your security measures. Use a clearly communicated update policy to avoid creating new vulnerabilities between patches.

Inventory control

While some hardware devices can be installed during a server’s initial set-up process, other equipment, such as new monitors or printers, often requires later implementation.

Keeping a thorough inventory of what hardware is connected to a server and when it was attached will help an administrator find possible sources for problems should they suddenly appear.

Performing regular backups

No matter how careful administrators are, there will always be disasters that could damage or even destroy data. Having up-to-date backup files saved away to restore lost information maintains a server’s integrity and keeps operations running smoothly even after a disaster occurs.

Managing hardware

When a server shows signs of slowing down, it’s time for the administrator to start thinking about upgrading some components. However, it’s important not to go overboard, as there should be enough room for existing programs and services to continue operating even as the team incorporates additional components. 

If an administrator doesn’t know how much space a server needs, they can always conduct tests beforehand to determine what upgrades are needed and whether or not the server might require additional hardware.

Final thoughts

In today’s world, servers are the backbone of your business. If you don’t have a reliable server management strategy, you will suffer from data loss and downtime that could cost thousands in revenue per hour. As such, you must employ the practices above to prevent that from happening.

TAGGED:data managementserver management
Share This Article
Facebook Pinterest LinkedIn
Share
ByRyan Kh
Follow:
Ryan Kh is an experienced blogger, digital content & social marketer. Founder of Catalyst For Business and contributor to search giants like Yahoo Finance, MSN. He is passionate about covering topics like big data, business intelligence, startups & entrepreneurship. Email: ryankh14@icloud.com

Follow us on Facebook

Latest News

crypto marketing
How a Crypto Marketing Agency Can Use AI to Create Powerful Native Advertising Strategies
Blockchain Exclusive Marketing
data driven insights
How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
Analytics Big Data Exclusive
image fx (37)
Boosting SMS Marketing Efficiency with AI Automation
Exclusive
pexels pavel danilyuk 8112119
Data Analytics Is Revolutionizing Medical Credentialing
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data for wealth management industry
AnalyticsBig DataData ManagementExclusive

How Could New Big Data Technology Benefit Wealth Management Industry?

6 Min Read

Decision engines in financial services

6 Min Read

5 Ways Cloud ‘Supercharges’ Enterprise Initiatives

3 Min Read
data protection
Data Management

How to Protect Data Within an App With RASP Security

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?