Bringing the Speed of Flash to Your Software-Defined Storage Infrastructure

In the context of digital transformation, businesses are shifting more and more to hyper converged systems. Gartner is even predicting that hyper converged solutions will become mainstream in the next five years. You are probably wondering why hyper convergence is so popular with tech leadership today? What makes hyper convergence such a big thing?

Join this webinar to hear Sushant Rao answer all your questions.
Among topics discussed will be:
- Industry trends in the field;
- How to ascertain if hyper-convergence is right for you;
- What pitfalls to avoid when choosing a solution;
- Example of a hyper-converge install.

When you are hit by a ransomware attack, such as the recent WannaCrypt worm, you don’t have many options. You can pay the ransom, in the hopes that your data will be unencrypted. Or, you can wipe your systems clean, and then recover the data. But, backups are typically done on a daily basis. Depending on when the attack hit, the amount of data that you will lose could be in the hours. Fortunately, there is a better option.

Continuous Data Protection (CDP) captures every write operation from an application and store it in a second location. This means that you can go back to the last data that was written before the ransomware attacked occurred. This ensure that data loss, if any, is minimal. Join this webinar to learn more about CDP and why it’s your safety net when ransomware hits.

At DataCore, we can help your business address these challenges.

How does an organization that is looking to improve their MS SQL Server performance end up with hyperconverged infrastructure? Well, why would they? Hyperconverged is typically used for VDI and lightly loaded remote sites. But a mission-critical application like SQL Server? On Hyperconverged? Who would take that risk?
In this webinar, hear from Emergency Communications of Southern Oregon (ECSO) that found that not only were they able to improve their SQL Server performance (by 20x!) with hyperconverged, they were also able to improve their availability and reduce costs to boot.

We think differently. We innovate through software and challenge the IT status quo.

We pioneered software-based storage virtualization. Now, we are leading the Software-defined and Parallel Processing revolution. Our Application-adaptive software exploits the full potential of servers and storage to solve data infrastructure challenges and elevate IT to focus on the applications and services that power their business.

DataCore parallel I/O and virtualization technologies deliver the advantages of next generation enterprise data centers – today – by harnessing the untapped power of multicore servers. DataCore software solutions revolutionize performance, cost-savings, and productivity gains businesses can achieve from their servers and data storage.

Join this webinar to meet DataCore, learn about what we do and how we can help your business.

Many of us responsible for large scale OLTP systems confront two clashing phenomena:
•Data comes at us at increasingly higher rates (from an expanding number of sources)
•The time required to process and analyze those inputs is rapidly shrinking.

Blame it on the Internet of Things (IoT)!

Instinctively, we respond with two approaches. First, we search for hardware and software that speed up the process.
Then, we try breaking up the problem into smaller parallel efforts.

In this webinar you will learn to:
•Look for choke points that get in the way of executing concurrent transactions
(Hint: they hide where you don’t suspect)
•Recognize the consequences those choke points have on competing workloads
•Apply DataCore™ Parallel I/O technology to solve these barriers

Lenovo and DataCore have collaborated to create a Software-defined Storage (SDS) appliance. This validated, turnkey appliance provides easy scalability and single pane management at a fraction of the cost of legacy systems—without trade-offs in availability, reliability or functionality.

Join this webinar to learn more about the Lenovo Storage DX8200D Powered by DataCore.

Hyperconverged infrastructure (HCI) is a huge trend in data centers. Analysts predict HCI - along with other Software-defined Storage technologies - will radically change current storage architectures.

But, is HCI right for you? What use cases make sense for HCI?

Join us as we will discuss how to get started with HCI. Topics that will be covered in this webinar include:

- Use cases suitable for HCI
- Criteria to evaluate HCI products
- Pros and cons of different vendors’ HCI
- Avoiding the missteps of early adopters

Application performance, availability and security are key issues IT departments in law firms struggle with today. It is imperative that you keep your firm's critical applications running fast and always available for your attorneys. Is there a cost effective and manageable solution?

Join our webinar on January 26th to hear how law firms like yours are they are taking advantage of existing storage infrastructure to:

• Improve application performance
•Ensure document management and email systems operate 24/7
• Reduce both CapEx and OpEx expenditure
•Enable a hassle free experience with zero downtime


Hear real case studies on how law firms like yours are deploying Lenovo Converged Server SAN appliances powered by DataCore to reduce cost and increase productivity. As the world leader in price/performance, Lenovo and DataCore together allow you to run more workloads, with better applications performance and availability.

Server virtualization was supposed to consolidate and simplify IT infrastructure in data centers. But, that only “sort of happened”. Companies do have fewer servers but they never hit the consolidation ratios they expected. Why? In one word, performance.

Surveys show that 61% of companies have experienced slow applications after server virtualization with 77% pointing to I/O problems as the culprit.

Now, with hyperconverged, companies have another opportunity to fulfill their vision of consolidating and reduce the complexity of their infrastructure. But, this will only happen if their applications get the I/O performance they need.

Join us for this webinar where we will show you how to get industry leading I/O response times and the best price/performance so you can reduce and simplify your infrastructure.

Did you attend AWS re:Invent 2016? If so, then let us summarize the key takeaways and top trends we observed at the show and compare notes with you.

Missed the event? Don’t worry, we have you covered. Join us as we cover the top trends and highlights of the news and interesting tidbits from re:Invent. It’s the next best thing to being there!

Clouds have been touted as the next big thing in IT infrastructure for nearly a decade, but larger enterprises have been slower to adopt the service delivery model than smaller firms. The reasons have been several, but a key stumbling block has been the legacy storage infrastructure that companies have already deployed. Planners are reluctant to rip and replace legacy shared storage infrastructure, especially in those cases where applications have been designed to use the particular storage topology or when anticipated returns have not yet been obtained from storage investments. While the appeal of hybrid public-private cloud data centers is a given, and the concept of building your base and buying your burst is viewed as a sound strategy for next generation data center design, there is still a need for technology that will enable existing shared storage infrastructure to be included and managed alongside software-defined and hyper-converged infrastructure models. Such technology must work with storage infrastructure both on premise and in a public cloud and without sacrificing performance or resiliency.

The good news is that the technology exists today that can help organizations:

- Reduce I/O latency at the source, by parallelizing raw I/O output
- Retain shared storage infrastructure while embracing software-defined storage where it makes sense
- Deliver the right storage services to the right data based on what the data requires

See how DataCore can help you bring cloud infrastructure to your data center in an intelligent way.

In the early 2000s, server virtualization was hailed by hypervisor vendors as the key to data center infrastructure consolidation and huge CAPEX cost reductions. In many firms, it didn’t quite pan out that way.

A new generation of thought leaders is arguing that hyper-converged infrastructure will pick up where hypervisor computing left off. The claims of CAPEX and OPEX improvements may sound familiar, but the technology worldview has expanded to include not only application workload and server hardware, but also software-defined networking and storage.

Join us in this webinar for a frank and thoughtful discussion of hyper-convergence and how it might well be the key to hyper-consolidation.

Did you attend Microsoft Ignite 2016? If so, then let us summarize the top trends we observed at the show and compare notes with you.
Missed the event? Don’t worry, we have you covered. Join us as we cover the top trends and highlights of the news and interesting tidbits from Ignite. It’s the next best thing to being there!

Did you attend VMworld 2016? If so, then let us summarize the top trends we observed at the show and compare notes with you.
Missed the event? Don’t worry, we have you covered. Join us as we cover the top trends and highlights of the news and interesting tidbits from VMworld. It’s the next best thing to being there!

Surveys show that 61% of companies have experienced slow applications after server virtualization with 77% pointing to I/O problems as the culprit. So, companies are desperately trying to improve their I/O performance.

This brings up the question of what measure should IT departments use to evaluate storage products’ performance.

The most common performance measurement is IOPS. But, is this the best metric? IOPS is dependent on a number of issues including, the type of workload being simulated, read/write percentages, sequent/random percentages and block size.

Most importantly, IOPS doesn’t indicate the response time.

So, what metric should be used to measure I/O performance?

In this webinar, we’ll discuss Latency Curves, which show the response time the application sees as the storage product deals with more and more I/O (measured by IOPS). This measure will help you understand why some storage products can claim high number of IOPS but still perform poorly when they run into peak demand.

HyperConverge like a Pro - part 2

Regardless of your industry, databases form the core of your profitability. Whether online transaction processing systems, Big Data analytics systems, or reporting systems, databases manage your most important information – the kind of data that directly supports decisions and provides immediate feedback on business actions and results. The performance of databases has a direct bearing on the profitability of your organization, so smart IT planners are always looking for ways to improve the performance of databases and the apps that use them.

Join Augie Gonzalez, Subject Matter Expert, DataCore to see if hyper covergence holds an answer to reducing latency and driving performance in database operations. But be careful, not all hyper converged solutions show dramatic improvements across the I/O path.

Server virtualization was supposed to consolidate and simplify IT infrastructure in data centers. But, that only “sort of happened”. Companies do have fewer servers but they never hit the consolidation ratios they expected. Why? In one word, performance.

Surveys show that 61% of companies have experienced slow applications after server virtualization with 77% pointing to I/O problems as the culprit.

Now, companies are looking to take the next step to fulfill their vision of consolidating and reducing the complexity of their infrastructure. But, this will only happen if their applications get the I/O performance they need.

This is where DataCore’s Parallel I/O technology comes in. By processing I/Os in parallel leveraging multi-core, multi-processor systems, Parallel I/O delivers industry leading I/O response times as well as price/performance. The net benefit is that fewer storage nodes can provide much better performance, allowing you to reduce and simplify your infrastructure.

Do you run a mix of virtualized and diverse workloads, including block storage? Are you looking to increase density and maintain blazingly fast speeds? If so, this webinar is for you!

In this webinar, speakers from DataCore and SanDisk will discuss the performance and economic advantages of combining software-defined-storage with all-flash storage. We’ll also share two customer stories on how they were able to:

- Achieve effortless and non-disruptive data migration from magnetic to flash storage
- Prevent storage-related downtime
- Dynamically control the movement of data from flash to high-capacity storage
- Strike the right economic balance between fast performance and low cost

Don’t let data growth and complex workloads slow you down. Attend this webinar and learn about new possibilities.