Friday 29 December 2017

Why Is Cloud Storage a Good Idea?

When you hear “cloud data storage,” do you imagine data floating around above you in the clouds? If so, you’re not alone. What many people don’t realize is cloud data is actually stored on hard drives similar to how data is typically stored.

But if cloud data storage is just like conventional data storage, is it any really any better or different?

Sunday 26 November 2017

What Does 2017 Hold for Object Storage?

Many companies struggle in today’s environment to manage higher amounts of information amongst the massive growth of unstructured data. It’s becoming more apparent that traditional storage hasscaling limitations and better solutions are in high demand.

Object-based storage enables a storage system to manage data as objects rather than as blocks or files within sectors. Data and valuable metadata are included in these objects making it easier to find, sort, and understand the information. Objects are stored in a flat address space, therefore, eliminating complexity and scalability challenges of hierarchical files systems in traditional storage.

Withunlimited scalability, object-based storage doesn’t outgrow a file system and consolidates storage silos. This provides a better remote backup solution with automatic data replication to a secondary site. It also uses standard hardware and avoids the expense of replacement and expansion to upgrade classic storage systems. For companies experiencing high scale growth, data accessibility with object storage could be valuable for anyorganization. 

A Shift in Software Approach

Companies interested in scaling from small clusters of data to exabytes of data need a software-based approach with affordable scalability. Object storage vendors offering the pay-as-you-go licensing model are increasingly attractive as customers prefer to pay for current usage, not 3-5 years of cost upfront. Companies can use object-based storage to deploy and manage their own private cloud storage while maintaining freedom of choice in access and protection across data centers.

To mirror requirements for organizations of any size, object storage vendors are developing a new style of software to include unified file and object-based storage in one solution. This offers several ways to access stored data.

Object-Based Storage Is Gaining Awareness

Object storage is finally on the verge of becoming known after nearly 20 years thanks to Amazon S3 being the driving leader in the public cloud storage sector. S3’s success is generating more interest in object storage and increasing customer awareness.

Another driver for object storage adoption is OpenStack. OpenStack Object Storage (aka Swift), is a free open-source software platform for cloud computing which enables solutions to be deployed as IaaS. Companies have embraced this scalable storage system to handle large amounts of data, especially in industries focused on life sciences, media, and entertainment.

A big challenge for storage systems is compatibility and interoperability between systems and resources. Most companies have a diverse storage environment and expect the same flexibility from object storage with solutions that support OpenStack Swift API and AWS S3 API. Organizations are looking for affordable, easy options to optimize their resources based on their specific business needs.

Object storage awareness is growing and will encouragemore object storage vendors to lead development and bring additional solutions to market. The conditions may be just right this year for object storage to gain traction in the storage industry.

Curious to learn more? Contact Datera for data storage solutions.

Monday 16 October 2017

Top 3 Data Center Management Challenges

The costs for deploying and managing on-demand technology services continue to skyrocket as demand increases. To manage complex deployments with higher costs, and to ensure uptime and reliability, data center management personnel need access to data that isn’t always immediately available. The following are the top three challenges experienced in data center management and how data center infrastructure solutions can help resolve these challenges.

#1: Maintaining Uptime and Availability

If you manage your server information with spreadsheets or homegrown tools, this information can quickly become inaccurate, outdated, or incomplete. A lack of information can become a hindrance when troubleshooting is needed for unplanned downtime, or when mapping the power chain.

Data center infrastructure solutions provide one easy location to house your asset information. This offers consistent and accurate record keeping with access to readily available visual and textual information. In turn, you reduce the time it takes to locate assets, and ultimately,it helps reduce the time it takes to troubleshoot an issue.

#2: Measuring Reduced Operating Expenses in Reports

Implementing solutions to reduce operating expenses is one thing. Proving that they work and are effectively reducing expenses is another. To prove data center infrastructure solutions are working, data center management teams need to be able to collect cost and performance data and articulate their value to the business.

A dashboard on data center infrastructure solutions with reporting capabilities will allow you to instantly gather data across several dimensions. This allows data center management teams to accurately show important stakeholders how the data center is operating efficiently and reducing costs.

#3: Keeping Energy Usage and Costs Low

Many online companies run their facilities at maximum capacity around the clock. This consumes vast amounts of energy, and as a result, data centers are extremely wasteful with energy consumption and electricity leading to higher costs.

Data center infrastructure solutions help monitor energy consumption and cycle off servers during the off hours. Sensors can collect information for raising temperature set points safely. They can also help companies implement an energy bill-back program which can drive energy efficient behaviors for data center management.

Need help reducing costs and managing your data center efficiently? Datera offers data center management and data center infrastructure solutions to achieve greater reliability and efficiency while saving costs. Try our free demo to learn more.

Saturday 29 July 2017

7 Steps to Save Your Organization Money with Capacity Management

Effective capacity management can offer immediate savings for organizations. For some, it can reduce their hardware and software budget by 20-30%.

Due to organizations needing to reduce expenses, IT infrastructure management is increasing to help companies cut costs. Here, we’re showing you how you can implement capacity management to help keep IT costs to a minimum. Use these steps to achieve better capacity management.

#1 Define Your Scope

Your capacity management project is defined by the resources you want to manage. Each set is designated in “pools”.

For example, managing disk space is one capacity pool. Each category must be listed in a separate capacity pool. Make sure you don’t extend your scope beyond capacity pools that don’t offer value for your organization. You must understand your organization well enough to manage only the things that return real value.

#2 Gather Trend Data

Now that you know what to manage, it’s time to understand how to manage it. You may have a tool already for gathering capacity statistics whichcan forward them to a central database. If not, collect technical level details for each capacity pool. The key is getting data from each pool and ensuring it flows to one centralized location.

Once you have the data, observe the trends. Document trends over time for each pool to understand whether utilization is growing or shrinking.

#3 Make Your Predictions

Once you see trends, you’re on your way to solid IT infrastructure management. The next step is using the trend data to make your predictions. You may notice your server utilization is growing at 4% per month which allows you to predict the server will be out of capacity in eight months.

Take your predictions beyond simple mathematics to combine other knowledge such as knowing a new program will increase percentages even higher in coming months. The more you can predict future utilization, the more valuable your capacity management program will be. 

#4 Scale Up and Out

The next challenge is deciding how much memory to add and determining when the memory will run out again. This is referred to as scaling up and scaling out.

Scaling up is adding more resources within an environment such as bandwidth to a network link or memory to a server. Scaling out is duplicating portions of the environment to add more resources such as adding another network link or server. These methodsincrease capacity and each resourcecan impact how you make future capacity utilization predictions.

#5 Organize & Share Data

By now you have lots of data about your capacity pools. To organize it all, a Capacity Management Information System (CMIS) should become your source for capacity readings, trends, and predictions. Establishing a CMIS allows others in the company to make better business decisions by using the data.

#6 Make Capacity Plans

A capacity plan offers an analysis of your data and recommendations for what to do with it. These plans are built for important applications, IT services, and IT infrastructure management. The goal is to avoid running out of capacity without buying and deploying more capacity than needed.A capacity plan includes data trends, predictions, and recommendations for what to do.

#7 Develop Service Capacity Management

To this point, you’ve managed component capacity at the lowest level. As you successfully manage components, you may start managing IT services involving complex sets of components with business value. An IT service may include a set of servers and applications that support product design. Tracking trends and measuring utilization is easier at the component level and much more complex with IT service. While important, the lack of quality tools in this area has lead business to decide service capacity management is too expensive to implement.

Start with the basics and work your way up to achieve full capacity management. Take a systematic approach to realize the potential and cost savings it can offer your company.

Need help? At Datera, we help companies achieve better IT infrastructure management. Contact us today to learn more.

Sunday 25 June 2017

The Power of Private Cloud Computing

When companies move data, applications, and processes to the cloud, they must choose which infrastructure to use and decide how data and apps will be hosted and distributed. Companies have the option of private cloud computing, using the public cloud, or hybrid cloud computing solutions.

Here we’re looking at the benefits of using private cloud computing and the differences between public and private cloud infrastructures.

Sunday 21 May 2017

Tips and Best Practices for Data Storage Management

Data storage management isn’t what it used to be. In the past, hard drives stored information and onsite backups saved the daywhen hard drives failed. With these methods, organizations had more time to shop the market and compare storage upgrades.

Data storage companies today face the pressure of delivering data-related performance that’s bigger, better, faster, with greater agility. Data storage management has become more complicated and competitive with storage solutions for different workloads.

Saturday 25 March 2017

IT Capacity Management –A Necessity for Businesses in Today’s Virtual Environments

Today, more companies are realizing the usefulness of IT capacity management tools. While these tools have been around for some time, there wasn’t much of a need for them – until now.

In the world of cloud and virtualized solutions, the high levels of automation and complexity in systems has created a greater need for capacity management in today’s IT environment. Companies need to be able to forecast capacity levels, plan ahead for IT operations, and predict risks in critical applications before they happen. This is where capacity management tools and IT capacity management planning come into play.

Sunday 19 February 2017

Private Cloud Storage: How is it different from public cloud storage?

More businesses recognize the affordability, reliability, and scalability of storing data in the cloud. But the question often asked is whether to choose public cloud storage, private cloud storage, or hybrid cloud services using local and off-site resources.

There are often misconceptions about private cloud infrastructure and storage. Here we’re helping you understand what private cloud storage is and what it is not.

Wednesday 25 January 2017

Goodbye Silos – Hello Automated, Virtual Cloud Data Storage Environments

Modern day enterprises are often trapped between two worlds: 1) the evolving world of cloud data storage, agile development, and unlimited scalability with next generation data storage companies, and 2) the traditional world with fixed software and hardware architectures combined with rigid application silos.

The former approach of separating data storage into semi-automated application silos takes us back to pre-industrial era production methods.