Manage

Data center capacity planning

• Hadoop cluster capacity planning best practices

  Trying to calculate Hadoop cluster capacities isn't always straightforward. It's important for organizations to include IOPS and compression rates in their predictions. Continue Reading

• Learn efficiency lessons from hyperscale cloud providers

  Enterprise data center teams can learn important lessons from hyperscale cloud providers. Rethink redundancy strategies and consider technologies like SDN to increase efficiency. Continue Reading

• Reduce data center complexity with policy-based management

  Policies allow IT teams to manage VM availability, security and other components more efficiently. Use these tips to establish and implement them in your data center. Continue Reading

• Upgrade considerations for a blade server vs. rack server

  Blade servers and rack servers aren't designed the same, which means the refresh process varies for each. Explore the different upgrade considerations for memory, storage and more. Continue Reading

• Data center monitoring tools and tips to keep IT in the know

  It's important to monitor your data center to ensure the highest security, performance and scalability. Learn how to make the process as efficient as possible with these five tips. Continue Reading

• IT lifecycle management drives smarter refresh decisions

  IT teams need to strike a balance between keeping up with the latest technology and being cost-effective. Proper IT lifecycle management techniques can help.Continue Reading

• Storage for big data and IoT is no small detail

  Capturing and capitalizing on vast amounts of data about customers and products can help a business adapt and even thrive. But implementing big data or IoT means creating or adjusting IT resources to handle the burden. With these emerging IT ...Continue Reading

• How do I convert CPU hours to MIPS for mainframe capacity planning?

  For better mainframe capacity planning, how do I convert CPU hours to MIPS? And is there a way to calculate the relationship between MIPS and MSUs?Continue Reading

• Mainframe capacity planning takes on unpredictable workloads

  An extension of Capacity Provisioning Manager into the hardware eases mainframe capacity planning headaches.Continue Reading

• Ten server deployment checklist considerations

  Use this server deployment checklist to make sure you've covered all your bases. From power distribution outlets to available network connectivity, server deployment can be an arduous process.Continue Reading

• A plan for preparing the infrastructure necessary for big data and IoT

  An organization that's serious about implementing big data or IoT projects will need to consider what demands those undertakings will place on data center infrastructure. Given the value of predictive analytics, for example, corporate leaders may be...Continue Reading

• How implementing big data or IoT affects the data center

  Data centers may need to build (or adapt) infrastructure that's flexible enough to accommodate challenging workloads, such as a big data initiative, distributed applications, or even the Internet of Things. How do data centers prepare for the ...Continue Reading

• Growing cloud capabilities influence IT capacity planning

  IT capacity planning must take into account the decrease hardware space requirements, ramping up densities and the potential to interface with cloud services.Continue Reading

• Two key aspects to consolidating data centers after an acquisition

  When consolidating data centers after a corporate merger, scrutinize custom software applications and security. You may improve IT operations.Continue Reading

• Adopt this battle-tested IT implementation plan

  New business initiatives live or die by the quality of their IT implementation plan. Experienced IT teams share their methodology.Continue Reading