Category Archives: Cloud Hosting
Amazon reveals new server chip to take on Intel – MyBroadband
Amazon.com Inc.s cloud unit keeps trying to eat away at Intel Corp.s stranglehold on the server chip market.
AmazonWebServices has developed a more powerful version of its own chips to power services for cloud-computing customers, as well as some of AWSs own programs. AWS Chief Executive Andy Jassy on Tuesday introduced a second-generation chip, called Graviton2, aimed at general-purpose computing tasks. He didnt specify a release date.
The company last year unveiled its first line of Graviton chips, which it said would support new versions of its main EC2 cloud-computing service. Prior to that, Amazon and other big cloud operators had almost exclusively used Intel Xeon chips.
The company said at the time that the Graviton-backed cloud service would be available at a significantly lower cost than existing offerings run on Intel processors.
Intels chips account for more than 90% of the server chip market and handle most tasks at the biggest cloud providers including Amazon, Microsoft Corp. and Alphabet Inc.s Google. But these companies are also announcing plans to use Intels main rival Advanced Micro Devices Inc.
AMD has forecast it will top 10% in server processor market share by mid-2020, a target that analysts at Instinet LLC said in a note is achievable.
Jassy said on Tuesday that Intel is a very close partner, but that to push the envelope on prices, we had to do some innovating ourselves.
Amazon is using its 2015 acquisition of startup Annapurna Labs, which Jassy called a a big turning point for us, to design its own chips. The new processor uses technology from SoftBank Group Corp. unit ARM Holdings, a standard that dominates in mobile phones.
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Amazon reveals new server chip to take on Intel - MyBroadband
SysGroup (LON:SYS) Hits New 1-Year Low at $33.50 – TechNewsObserver
SysGroup PLC (LON:SYS) hit a new 52-week low during mid-day trading on Monday . The stock traded as low as GBX 33.50 ($0.44) and last traded at GBX 35.49 ($0.46), with a volume of 152 shares changing hands. The stock had previously closed at GBX 36 ($0.47).
Separately, Shore Capital restated a house stock rating on shares of SysGroup in a research report on Monday, November 25th.
The company has a 50 day simple moving average of GBX 37.12 and a two-hundred day simple moving average of GBX 39.52. The company has a quick ratio of 0.59, a current ratio of 0.77 and a debt-to-equity ratio of 12.05. The company has a market capitalization of $17.30 million and a P/E ratio of -15.91.
About SysGroup (LON:SYS)
SysGroup plc, together with its subsidiaries, provides cloud hosting and managed IT services the United Kingdom and internationally. It operates through two segments, Managed Services and Value Added Resale (VAR) of Products/Services. The Managed Services segment offers various forms of managed services to customers.
Read More: Capital Gains Distribution
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SysGroup (LON:SYS) Hits New 1-Year Low at $33.50 - TechNewsObserver
How to match your IT workloads to the right cloud – TechBeacon
When it comes tomanaging a multi-cloud world, matching your workloads to the best cloud hosting platforms is one of thebiggest challenges. Rational decision making often gives way to an emotional exercise, where beliefs, biases, and other human behaviors set the stage for a less-than-optimal hosting strategy.
If you use themodel described below, as our team did, you'll increase your chances of establishing a fact-based, data-driven hosting strategy that's easier to define and execute, while avoiding any perceptions of bias in your recommendation.
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As Cloud CTO at Micro Focus, I was asked to helpbuild a model that we could apply with as little prejudice as possible. So our teamestablished a set of core principles that enabled us to build a balanced model that we can consistently use to evaluate the placement of specific workloads as well as for our overall hosting strategy.
It could work for you, too. The core principles are:
While your hosting decision model should support placement decisions for multiple workload types, there is almost no end to the number of workload types you could define. That's why you need to introduce a usability challenge into the model.
In this, less is more. We narrowedour list to three core workload types: development and rapid prototyping, traditional production, and cloud-native production.
Development and rapid prototyping workloads include everything development and testing teams might require from a hosting provider to develop and test their code.
Traditional production workloads are those that rely on the base infrastructure-as-a-service (IaaS) set of resources and have no cloud software-as-a-service (SaaS) requirements. You can deploy them in almost any public or private cloud environment.
Cloud-native production includes cutting-edge, cloud-reliant workloads that make moderateto heavy use of cloud concepts and/or rely on cloud platform-as-a-service (PaaS) offerings.
[ Learn how to transform your IT with AIOps in TechBeacon's guide. Plus: Download the analyst paper on how AI is changing the role of IT. ]
While building our model, we analyzed many KPIs from our body of research, picked up a set of KPIs that formed the model core, and then categorized those into five dimensions.
Building a model with dimensions helps us to have logical KPI groupings and to establish a scoring system per dimension. In this way, we can easily evaluate a hostingenvironment based on how well it scores in each dimension, instead of comparing each and every KPI across hosting options.
Figure 1: The five dimensions of a hosting assessment model. (GTM is "go-to market" strategy.)Source: Micro Focus
Heres a high-level view of the models five dimensions, along with a few KPIsfor each.
Thisdimension establishes the hosting environment's security and complianceposture, allowing you to weigh how secure and compliant each one is.
These KPIs evaluate employee background checks, physical access, access logs, and how cryptographic keys are being managed. The KPIs should evaluate support for ISO27001 or GDPR to assess complianceposture.
Comparing hosting providers on cost can be a futile exercise if you're focused on migrating a large data center, which is too big and has many variables, or if you're comparing compute or storage units, which is too granular.
The hosting decision model introducesthe concept of application comparison. For every workload type you pick, you need a poster-child application that you can model in each environment you're evaluating. Calculate the infrastructure cost for hosting that application from the bottom up, and then compare between providers.
Account for your labor costs for each application, since that can be different for each environment. For example, a private cloud has infrastructure support requirements that don't exist with public cloud. A best practice is to use labor per compute unit (virtual server), then multiply by number of servers within the application model.
Finally, if you wish to gaininsight intohow each environmentmight affect your organization's earnings, your cost model should have an earnings before interest, taxes, and amortization (EBITDA) impact, expressed as a percentage.
Here you evaluate the potential support each environment provider offers. This may highlight whether the environment provider will be able to deliver the level of support you need to properly rely on the provider for hosting services, as per your expected service-level agreement (SLA).
Some of your KPIs should measure the provided support level and the number of dedicated technical resources the hosting service provider will assign to you.
Since some workloads will be hosted with an environment provider to drive business, you should establish what potential business leverage a provider could deliver. This could be a critical insight that guides your hosting decision.
KPIs might includeanestablished joint go-to-market strategy, the amount of market development funds the hosting entity will provide, and how many joint and aligned global system integrators or regional system integrators are available.
Assessing environment resilience and performance is a key factor in meeting internal and customer SLAs, so properly evaluatingthese criteriais critically important.
To obtain such metrics you might need to rely on your previous experience to calculate anaverage number of incidents, mean-time-to-repair, or theperformance and availability of sample applications. However, you could also obtain publicly accessible information abouthosting providers to calculate the KPIs.
Some KPIssuch as whether the hosting entity supports demand elasticity, zero-downtime upgrades, and support for multi-zone availabilitymay be readily available from the provider's marketing literature.
Now that you have identified your model's dimensions and supported workload types, you can determine which workload types best align with your various dimensions.
For example, development and rapid prototyping might lean more toward hosting environments that optimize for cost, while traditional production might be better suited to environments that optimize for quality of service and security.
You can introduce this bias into your model with a weighting scheme where positivelybiased dimensions receivea higher weighted score than do other dimensions for a given workload type. See the images below for specific examples.
Once you have defined your model, it's time to populate its dimensions and KPIs with data for the cloud hosting platforms of choice. For this exercise, you need to gather data from yourexperience in hosting workloads,industry benchmarks, and any self-assessments made public by the hosting environment providers.
For balanced KPI results, you need between four and six months of data to counter any seasonality and other biaseswithin the datasets. Remove outliersby using the median instead of the average.
Once you have calculated the KPIs, assign a score between 0 and 10 to each dimension. Since each KPI is likely to have a different impact on the overall dimension score, apply your weighting logic as you calculate the dimension score.
The outcome of this phase is your cloud assessment model for each cloud-hosting option. Each should have a score for every dimension, as well as detailed KPI scores within those dimensions.
This gives you a standard lens through which to differentiate your cloud hosting options.
Using the weighting schemeyou created for each workload,evaluate each cloud hosting provider for each workload type. Do this by using the cloud hosting dimension score with the workload weight for each dimension, normalized between zero and 10.
You've now created an overall score for each combination of workload type and cloud-hosting platform. The higher the score for a specific workload type, the more aligned that cloud hosting platform is for that workload.
By establishing this baseline, you'llprovidea hosting decision recommendation that matches workload types with the right cloud hosting platform.
There are cases, however, that might impose additional requirements that cut across your recommendation results. For example, if a government or geographical presence is required, then your recommended cloud hosting platform must support that.
The lesson here: Build your overall cloud hosting strategy on your model's output while allowing for a certain percentage of cases that will go out of bounds.
Matching your workloads to the right cloud hosting platforms need not become an emotional exercise. Follow the steps above and you'll have a much more rational, data-driven basis for making those decisions while avoiding any perceptionof bias.
[ Learn how robotic process automation (RPA) can pay offif you first tackle underlying problems. See TechBeacon's guide. Plus: Get the white paper on enterprise requirements. ]
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How to match your IT workloads to the right cloud - TechBeacon
Application modernisation in 2020 and beyond why businesses need to be ready now – CIO Australia
Research from the CSIRO has found that digital technologies could be worth as much as $315 billion to the Australian economy by 2028.1That return to the economy will be driven across a number of areas, perhaps most significantly AI, but the story within the story is that organisations will need to invest in application modernisation through digital transformation to prepare their businesses for this new, digital-first way of working.
The drive behind application modernisation cant just be because its the hot new trend, however. Organisations that approach application modernisation on vague promises of the benefits of the cloud and improved productivity will find themselves in a similar position to now in a few years with a legacy environment that no longer supports the organisations competitive position in the market.
Gartner predicts by 2023, 40 per cent of professional workers will expect orchestrated business application experiences and capabilities like they do their music streaming experience. The human desire to have a work environment similar to their personal environment continues to rise one where they can assemble their own applications to meet job and personal requirements in aself-service fashion, Gartner notes. The consumerisation of technology and introduction of new applications have elevated the expectations of employees as to what is possible from their business applications.2
Simply hosting applications in the cloud which is the extent of the application modernisation strategy for many organisations will not deliver what Gartner is predicting.
Instead, organisations need to take a deeply strategic approach to application modernisation. Many organisations struggle to build a strategy around application modernisation, and are often unsure of the approach to modernisation that they need to undertake whether thats refactoring, rehosting, or otherwise.
Determining the right approach to application modernisation can be an extravagant project in its own right. Depending on how databases and the environment is structured, moving an application to the cloud may result in a substantial project for a team of developers. Its important to get it right, however. If managed poorly, the application is likely to again become be a piece of legacy software inhibiting the business from working competitively.
Into 2020 and beyond, CIOs and other business leaders will need to approach application modernisation with a mindset of reimagining it from the ground up, with a focus on better security, faster speed, and consolidated systems.
How organisations will look to app modernisation in the new year
Western Australias School Curriculum and Standards Authority (SCSA) is one example of an organisation that faced the urgent and pressing need to modernise its applications. Previously holding student information for grades 11 and 12, SCSA was required to start holding records from kindergarten right through to grade 12, which meant a jump from 60,000 records to 465,000. There was no way the legacy systems were going to manage the load.
SCSA found its solution with Insight, which helped SCSA move to a cloud-based environment, running on Azure, and with Kubernetes deployed to help manage the databases and applications into containers, and orchestrate the pod lifecycles.
As a result, after an engagement of just a few months including a comprehensive planning period, SCSA had a solution it could rapidly scale, and was fully digital-ready. Both the internal team and the schools working with SCSA can now reliably and rapidly access the services and applications provided by SCSA.
For more information, visitau.insight.com
Its all about the foundations
The cloud is now the standard approach to applications. Everything is online, and everything needs to be available from anywhere, regardless of location or device. There are meaningful productivity and efficiency gains to this approach; and significantly, there are consequences to not moving legacy applications into the cloud. These include:
Insights approach with each of its customers, and the reason the SCSA project was such a success, is to identify and build a foundation for all applications within a business that is extensible for future needs. There is a range of different approaches that can be taken with application modernisation, from the relatively simple process of rehosting an application on the cloud, through to a complete re-coding or replacement for an application. Within the typical environment there will need to be a number of different approaches taken, depending on the state of each individual application. What determines the overall success of a modernisation project is whether the foundations are in place first, both in terms of technology, such as whether the organisation cloud-ready and far enough along with its digital transformation strategy to start application modernisation; and strategy, such as determining the five and 10-year goals of applications.
The cloud can be a complex environment. Some of the tools used to manage the transition to the cloud and operation within it, such as containerisation through Kubernetes, are effective but need careful planning and a change management process within the organisation first.
2020 will be a big year for application modernisation. Organisations that develop a sound foundation will find themselves set for the years ahead, with a highly scalable and flexible environment that is future proofed for the longer-term trends as they emerge. Where organisations will struggle is if they dont approach application modernisation from a whole-of-business, foundational approach first.
Read the Insight whitepaper on making a business case for application modernisation.
1https://www.afr.com/technology/ai-roadmap-forecasts-315b-industry-20191114-p53ali
2https://www.gartner.com/en/newsroom/press-releases/2019-22-10-gartner-unveils-top-predictions-for-it-organizations-and-users-in-2020-and-beyond
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Cloud Performance Varies Across the World, New Report Finds – ITPro Today
There can be a good deal of variation in performance across cloud providers, the 2019-2020 edition of ThousandEyes' Cloud Performance Benchmark report found.
The 72-page report is based on a study that looked at Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Alibaba Cloud and IBM Cloud over a period of 30 days from a number of vantage points. ThousandEyes collected 320 million data points from 98 global metro locations to gauge performance across the public cloud services.
The report found that both AWS and Alibaba Cloud rely on the public internet for much of the data transport, which means there is the potential for unknown risks to cloud performance to be introduced as neither company owns the data links. AWS does have its own private network, known as the AWS Global Accelerator, though apparently it doesn't always outperform the public internet.
"When AWS launched its Global Accelerator in November 2018, the intent was to let customers use the AWS private backbone network for a feerather than use the public internet, which is AWS default behavior," Angelique Medina, ThousandEyes' director of product marketing, told IT Pro Today. "While there are many examples in various regions around the world where the Global Accelerator trumps the internet connectivity path in performance, the ThousandEyes Cloud Performance Benchmark found examples of negligible improvementand even cases of worse performancewhen compared to default AWS connectivity via the internet."
Typically the cloud providers either use public internet links or private links, with IBM being the only cloud provider with a hybrid approach to cloud connectivity from users to hosting regions. According to ThousandEyes, depending on the hosting region and the expanse of the IBM Cloud backbone, user traffic rides the internet longer or enters the cloud providers backbone closer to the end user.
Looking at global cloud performance, ThousandEyes found roughly similar levels of performance across Western Europe and North America. The same cannot be said for other regions, with GCP having 2.5 to 3 times the network latency of its rivals, when measuring connectivity from Europe to India.
There is also a dramatic reduction in performance for all cloud traffic heading into China, thanks to China's so-called "Great Firewall," which is a robust content filtering machine.
"Employing a multitude of censorship toolssuch as IP blocking, DNS tampering and hijacking, deep packet inspection, and keyword filteringthe Great Firewall is designed to ensure that online content aligns with the government party line," the report states. "Privacy and ethics concerns aside, one of the drawbacks to this system is a vast reduction in performance."
ThousandEyes is in the business of providing network-level visibility for its users. Alongside the cloud benchmark report, the company announced its new Internet Insights service, which goes beyond what it had been offering in the past.
Medina explained that ThousandEyes' core service provides cross-layer visibility into application delivery over the internet. In contrast, she noted that Internet Insights is service provider-centric and provides a broad view of internet health. It leverages telemetry data derived from the testing performed by all of ThousandEyes' customers to identify outage events in service provider networks.
"Internet Insights is highly complementary to our existing offering, as it enables our customers to understand their application delivery in the context of the wider internet," Medina said. "It also enables our customers to manage external providers more effectively because they now have historical visibility into availability issuesnot just globally, but regionally as well."
The improved visibility has already been a big help to one ThousandEyes customer. The customer was complaining that it was unable to connect to a service, according to Medina. It could see in its ThousandEyes tests that there was network packet loss in an upstream telecom provider but couldnt determine the scope of the issue and why so many customers appeared to be impacted.
"Using Internet Insights, they were able to trace the cause to widespread internet issues that were caused by a Cloudflare route leak," she said. "They were able to mitigate the impact of the route leak early enough to get ahead of the issue by communicating with customers and working with one of their providers to reroute traffic around the most significantly impacted zones."
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Cloud Performance Varies Across the World, New Report Finds - ITPro Today
Black Friday & Cyber Monday: These web hosting offers come only once a year – MyHostNews.com
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Black Friday & Cyber Monday: These web hosting offers come only once a year - MyHostNews.com
HostNOC offering a big discount on its hosting and dedicated servers – Press Release – Digital Journal
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Processing 30 billion images a month, heres how ImageKit delivers 98% of the optimised images in under 50 mil – YourStory
Industry statistics say that if a page takes more than three seconds to load, almost 40 percent of visitors tend to leave that site. According to HTTP Archive, on an average, around 64 percent of a websites weight is comprised of images. Therefore, the size of an image has a direct impact on the page load speed and user experience. This means image optimisation is key.
That is why startups like ImageKit are taking the market by storm. The startups flagship solution, ImageKit.io is a smart real-time image optimisation and transformation platform that simplifies the process of optimising, transforming and delivering perfect images across different devices, network speeds and display densities.
Working together at Gurugram-based online travel platform, Ixigo, Rahul Nanwani, Manu Chaudhary and Somesh Khatkar (the founders of ImageKit.io) realised that there were very few ready-made image optimisation products in the market, most products didnt integrate easily into a companys existing infrastructure, either. Additionally, many didnt have a pricing model that supported optimisation at scale. Starting up in October 2016, the founders took three months to build the MVP and launched ImageKit.io in January 2017.
Today, ImageKit.io serves over 30 billion images every month on their customers websites.
ImageKit.io has different kinds of workloads that enable them to serve client requests in milliseconds. This requires different kinds of instance types, and is here that Amazon Elastic Compute Cloud (Amazon EC2), a web service that provides secure, resizable compute capacity in the cloud, works to their advantage. Rahul agrees, adding, EC2 has a wide range of server types to support compute, memory or storage-intensive operations.
ImageKits association with AWS started early on.
As ImageKit began to grow, so did their infrastructure requirements. Thats when Imagekit saw the need to go beyond what was offered under free credits and began evaluating its options. During this time, they were clearly able to see the advantages offered by AWS in comparison to other cloud service providers says Rahul. Today, we leverage both - the traditional servers (AWS EC2) and Serverless (Lambda, Lambda@Edge) for different purposes. And, since ImageKit.io is a complete image delivery and transformation product, AWS CloudFront, the Content Delivery Network and AWS S3 - the storage service offered by AWS, are an integral part of what we offer.
In addition, AWSs global infrastructure has doubled up as a key advantage for ImageKit.io.
He adds that, in the last two years, the traffic handling capacity of CloudFront has gone up significantly with AWS adding a number of nodes. South Africa and the Middle East are new regions which are now covered by AWS CloudFront. The number of edge locations have gone up in India in India too. All this has worked in ImageKit.ios favour. The load time and caching performance has been very consistent for all our customers and thereby helping us deliver a good user experience.
Today, with ImageKit.io using a number of services within the AWS infrastructure, deployment has not only become simpler, but there is also clarity about the expected inter-service performance levels. Providing further insight, Rahul says, Being a SaaS product that integrates on a live website or an app, and handles something as critical as the images on that website or the app, we need to ensure that the infrastructure is able to scale well, especially during the festive season or a sale period when there is a sudden spike in traffic soon after a sale notification that has gone out. Thats where our ability to autoscale the infrastructure for the incoming traffic or API requests helps. A mix of spot instances, reserved instances and serverless is used to handle the short spike of traffic. Here, Route53, the DNS Service offered by AWS makes it really easy for us to configure failovers within our infrastructure in case something goes wrong. To put it simply, AWS products have helped ImageKit.io scale not just to meet the needs of their growing customer base, but also scale easily with the varying image delivery and optimisation requirements of their customers. He adds, The benefits that come with economies of scale can be realised with a cloud provider like AWS.
While the technology at its core has been one of the driving factors for ImageKit, the other has been consistent support from AWS support and business development teams in India and the partnerships they have been able to build.
AWS has also helped the startup find partners, expand their network in the ecosystem and facilitated introductions. AWS has a huge set of active accounts, which have a requirement for better image optimisation and delivery. In addition, AWS works closely with a large pool of technology partners, service providers and agencies, who in turn work with other companies who need solutions like ImageKit. So references and introductions by AWS and their partners to these companies have helped us tap business.
Today, ImageKit.io is being used by 300 companies, which also includes their first three paying customers. Some of Imagekits notable customers include Nykaa, Hopscotch, Times Now, Asian Paints, Republic TV, and Nearbuy, among others. In addition, over 10,000 developers all over the globe use its freemium model.
Having solved some of the most basic yet critical problems for developers and brands, ImageKit now is working towards the next logical step - supporting more complex integrations while still being a completely self-serviceable product. And, with content consumption on the rise in India, the team believes theres a parallel opportunity for them to explore beyond image optimisation.
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Processing 30 billion images a month, heres how ImageKit delivers 98% of the optimised images in under 50 mil - YourStory
This Week in Jobs: We’re one wild turkey – Technical.ly
Editors note:Every week we ship an email newsletter featuring the regions most exciting career opportunities. Weve lovingly called itThis Week in Jobs(aka TWIJ twidge.). Below is this weeks edition.Heres the last one we published; its meant to live in your inbox.Sign up for the newsletter here.
You probably think this weeks post is going to be about Thanksgiving. Maybe its the fact that its a mere two days away, or perhaps its the headline, directly referencing turkey.
Well, SURPRISE!
Its not.
Because were unpredictable. Were untamed and impossible to pin down. Just when you think youve got us figured out, we oh goodness, is it 8:00 a.m. already? We should really hit the road if we want to stay on schedule.
Wait, what were we saying? Oh yeah, you never know what we might say or do. Because were rule breakers who never wear the same outfit twice, rabble rousers who defy expectations and drat, we forgot to set up the crockpot for dinner. Better do that now.
Dust off those biz cards.Philly Tech Week 2020, presented byComcast, is officially slated for May 1 to 9, 2020 and theres a myriad of ways to get involved. Heres a lil cheat sheet for ya.Not that we condone cheating. Its more like a shortcut for how to participate. Yes, thats it its efficient encouragement for participation. Are we babbling? It feels like were babbling.
flyGATEWAY, will be arriving at the old New Castle Airport: on time. The nonprofit flight school is ready to amp up the aviation workforce in Delaware, and its turning the1,100-acre airport into an aerospace campus for aspiring aviators. Learn more about the program and its funding optionshere. And may your dreams fly as high as the sky. (Sorry.)
Even though we present a list of jobs the same way every single week, its because wewantto, not because were tied to some rigid template, you know? Believe us, the second we decide to change it up, you wont know what hit ya. Were just wild and impulsive like that.
That said, we do want to assure you this list of jobs was responsibly compiled from reliable sources.
Come peer behind the curtain and see how the sausage is made atTechnically Media. Were looking for bothaMarketing Analystand aMarketing and Partnerships Managerto join our fam.
URBN, parent company to some seriously delish brands likeAnthropologieandFree People, is hiring the following:
One of the first-ever open-source cloud hosting providers and continual innovator in all things cloud computing, Linodehas a few new roles to fill:
Macquarie, a global financial services firm, perfect for technologists who crave worldly business experiences and the chance to explore new cultures, has its eye on professionals who can fill the following:
Covering the niche industry of equipment leasing (which few of its employees knew existed before they were hired so fear not),OdessasLeaseWave platform does some pretty rad stuff. That was fairly vague. Apologies. Perhapsreading thiswill paint you a clearer picture.
Ever get really tired of being asked the same question 10 times a day (obviously, right)? How about not being able to locate the one doc you really need? Knowledge management platform,Guru, developed software that gathers a companys collective knowledge and puts it right in front of your pretty faces. And its hiring:
Now, if taking off your fleece robe and going into an office just isnt for you, here are a few remote gigs:
Keep your eyes open, people. You never know when were going to shock you with our unpredictability this intensely again.
Happy job hunting, friends.
More here:
This Week in Jobs: We're one wild turkey - Technical.ly
Cloud-based Database Market 2019 to Perceive Biggest Trend and Opportunity with Key Players Google, Amazon Web Services, IBM, Microsoft, Oracle,…
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The Research Corporation have included another examination study Title Global Cloud-based Database Market Size, Status and Forecast 2019-2026 with definite data of Product Types [, Premise Software, Cloud-based Software and Managed Software], Applications [Oil and Gas, Mine and Metallurgy and Other] and Key Players Such as Google, Amazon Web Services, IBM, Microsoft, Oracle, Rackspace Hosting, Salesforce, Cassandra, Couchbase, MongoDB, SAP, Teradata, Alibaba, Tencent
Cloud-based Database Market is growing at a steady CAGR of +12% within the forecast period of 2019-2026.
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A cloud database is a database that typically runs on a cloud computing platform, and access to the database is provided as-a-service. Database services take care of scalability and high availability of the database. Database services make the underlying software-stack transparent to the user.
Significant Regions with leading countries Of Cloud-based Database Market covered in this report: Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia), Europe (Turkey, Germany, Russia UK, Italy, France, etc.), North America (United States, Mexico, and Canada.), South America (Brazil etc.), The Middle East and Africa (GCC Countries and Egypt.)
Market by Type
SQL Database, NoSQL Database
Market by Application
Small and Medium Business, Large Enterprises
By Software TypeRisk Management Mapping, Seismic Amplitude Analysis, Portfolio Aggregation, Performance Tracking, Navigation System, Resource Valuation, Reservoir Characterization, Reservoir Simulation, Drilling
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Statistical Cloud-based Database Market of some important social science facts: In several sectors mentioned in The Research Corporation market report is as describe global Cloud-based Database in terms of investment potential and the possibilities described to achieve success in the near future. Key segments of the global market analyze product types, SMBs and large corporations.
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In this study, the years considered to estimate the market size of Cloud-based Database Market are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2026
Table of Content:
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Cloud-based Database Market 2019 to Perceive Biggest Trend and Opportunity with Key Players Google, Amazon Web Services, IBM, Microsoft, Oracle,...