Presidio is at all times on the lookout for the newest applied sciences, whether or not from established firms or disruptive newcomers, that may assist tackle buyer ache factors. Take as an illustration a typical problem for organizations which have migrated to the cloud and now want to extend effectivity and reduce prices. Whereas a variety of cloud optimization approaches exist, many firms concentrate on solely a single facet of effectivity, and a few approaches will be time-consuming and sophisticated to implement.
Presidio’s longtime know-how accomplice Intel addresses value optimization and acceleration at an utility layer with a brand new, distinctive and little-known software program answer: Intel Workload Optimizer by Granulate. It optimizes purposes with out altering the appliance code and is purpose-built for servers and cloud compute situations based mostly on Intel® Xeon® Scalable processors to speed up choose workloads in Linux environments. And, it permits prospects to see which of their workloads might profit most from optimization by way of a free 24-hour evaluation.
This rising answer is a game-changer in cloud optimization, providing a major efficiency enhance and value financial savings.
Cloud migration strategies and optimization challenges
Cloud computing gives many benefits – speedy deployment, flexibility, scalability, limitless storage, and minimal capital expenditure, to call a couple of – so it’s little surprise trendy companies embrace cloud as a vital characteristic of a well-rounded IT technique. However, cloud migration methods and rationales can differ markedly. Usually, companies transfer to the cloud in certainly one of two methods: first, some select to optimize sure purposes for the cloud as part of the migration course of to benefit from cloud native applied sciences, improve performance, and optimize consumption prices. Nonetheless, it requires redeveloping the appliance, which might take months and even years to perform. This technique is in the end efficient however will be expensive, disruptive and time-consuming. And, it diverts developer sources away from vital initiatives akin to creating new merchandise.
The sooner, extra widespread transition to the cloud entails a “lift-and-shift” operation, shifting workloads to a public cloud supplier akin to Azure or AWS with out altering the appliance code. This technique is particularly interesting to organizations which have reached peak capability and should select an alternate: improve {hardware}, purchase extra knowledge middle house, or migrate some or all workloads to the cloud. On-prem knowledge facilities would possibly require extra time and sources than many organizations care to expend, so that they select lift-and-shift as essentially the most expedient answer.
However typically the main focus is on merely getting there first, then determining the way to optimize later by way of a number of of those approaches:
- Billing and occasion evaluation – figuring out how sources are getting used and on the lookout for alternatives to regulate situations for value financial savings together with different value plans or reserved situations. As well as, utilizing instruments to research situations, making suggestions whether or not to maintain, modify or take away every occasion, could be a time-consuming activity.
- Guide processes – Reviewing and modifying sources allotted to workloads as wanted.
- Turning off VMs when not in use to economize.
Whereas all of those strategies are helpful and billing evaluation is crucial, one other stage entails the evaluation and optimization of sources utilized by the appliance workloads themselves. Intel has simply simplified each cloud migration methods with the Intel Workload Optimizer, delivering instant and ongoing financial savings.
Why Intel Workload Optimizer is exclusive
What makes this autonomous optimization software program answer stand out is its revolutionary method: whereas conventional optimization options are directed on the occasion choice stage, Intel Workload Optimizer works on the transaction stage, optimizing the precise utility workload because it’s operating. In different phrases, software program acceleration with none code modifications.
The Intel Workload Optimizer software program makes use of machine studying to find out useful resource utilization patterns and knowledge stream, figuring out knowledge bottlenecks and useful resource rivalry inside workloads, after which mechanically adjusts kernel-level and runtime-level useful resource administration choices to speed up knowledge stream by way of an utility through the use of patented algorithm fashions that discover and repair bottleneck situations autonomously. As well as, it optimizes reminiscence allocation, repeatedly adapting sources and runtime ranges in real-time with out human interplay, in addition to useful resource scheduling and prioritization for the working system.
Intel Workload Optimizer can be utilized in an on-prem knowledge middle or public cloud surroundings, optimizing useful resource administration with out the necessity for IT employees intervention. It’s ideally suited for a lot of key Linux workloads, together with proprietary purposes akin to Java and Python, huge knowledge apps akin to Spark and Hadoop, and stream processing purposes akin to Kafka. It brings an vital suite of latest, resource-conserving optimization capabilities which can be in any other case unmatched.
Benefits of real-time steady optimization with Intel Workload Optimizer
As talked about earlier, organizations have their selection of a number of methods to attain cloud migration, mitigate excessive consumption prices related to lift-and-shift operations, and extra. Intel Workload Optimizer software program can ship instant advantages to enrich all of them.
- Understand most efficiency good points and value financial savings when operating on Linux-based servers or situations powered by Intel Xeon Scalable processors:
- Cut back prices as much as 60% by dealing with compute workloads with 60% fewer cloud situations or servers.
- As much as 40% improved response time.
- As much as 5X elevated throughput.
- Zero code modifications required.
- No-cost, no-risk gProfiler evaluation upfront: Presidio may also help organizations run the open-source gProfiler on a number of situations or VMs over a 24-hour interval to offer an correct estimate of the enhancements in efficiency and value discount. It identifies which purposes are operating, which workloads would profit most from optimization, and what potential cost-savings will be realized per utility. Previewing the dimensions and scope of real-time advantages permits prospects to pay for the answer solely in areas that may see important enchancment and value financial savings – one thing few different optimization options can match.
- Ease of deployment – With a couple of easy steps, Intel Workload Optimizer will be put in in minutes, together with its dashboard to trace instant efficiency advantages and financial savings.
- Steady, autonomous operation – Not like different options, which require third-party instruments and monitoring, Intel Workload Optimizer is fully self-contained, operating by itself within the background. IT employees can “set it and neglect it” as they transfer on to concentrate on extra strategic issues, akin to product improvement and long-range planning.
Uncover your efficiency and cost-saving benefits with Intel Workload Optimizer
For many organizations, cloud is a vital ingredient of their IT technique – but it surely requires optimization to attain most cost-effectiveness, utilization, and efficiency. Intel Workload Optimizer delivers a revolutionary new, straightforward, and environment friendly option to obtain instant optimization and important value financial savings.
To study extra about the advantages you’ll be able to acquire, contact Presidio to schedule an utility optimization assessment and free evaluation.
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