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Oracle is combining OLTP (online transaction processing) and OLAP (online analytical processing) services in its open source MySQL database in the Oracle Cloud, via Oracle MySQL Database Service with the MySQL Analytics Engine.
With this Oracle Cloud service being introduced December 2, users gain the ability to run sophisticated analytics against their operational MySQL database. The MySQL Analytics Engine is an in-memory analytics accelerator that can scale to thousands of Oracle Cloud Infrastructure (OCI) cores.
#mysql #cloud #oracle
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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.
At a glance – TLDR
ScaleGrid Blog - At a glance overview - 1st pointCompare Throughput
ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads. Read now
ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now
ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Read now
MySQL DigitalOcean Performance Benchmark
In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:
Comparison Overview
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version8.0.208.0.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120
As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.
To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.
Throughput
In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. To quickly summarize the results, we display read-intensive, write-intensive and balanced workload averages below for 150 threads for ScaleGrid vs. DigitalOcean MySQL:
ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph
For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.
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A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.
Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.
By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.
However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.
Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.
Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.
Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.
Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.
The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.
For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.
#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market
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The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.
In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.
#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration
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Business software giant Oracle is urging customers to update their systems in the October release of its quarterly Critical Patch Update (CPU), which fixes 402 vulnerabilities across various product families.
Well over half (272) of these vulnerabilities open products up to remote exploitation without authentication. That means that the flaw may be exploited over a network without requiring user credentials.
The majority of the flaws are in Oracle Financial Services Applications (53), Oracle MySQL (53), Oracle Communications (52), Oracle Fusion Middleware (46), Oracle Retail Applications (28) and Oracle E-Business Suite (27). But overall, 27 Oracle product families are affected by the flaws. Users can find a patch availability document for each product, available here.
“Oracle continues to periodically receive reports of attempts to maliciously exploit vulnerabilities for which Oracle has already released security patches,” according to the company’s release on Tuesday. “In some instances, it has been reported that attackers have been successful because targeted customers had failed to apply available Oracle patches. Oracle therefore strongly recommends that customers remain on actively-supported versions and apply Critical Patch Update security patches without delay.”
While details of the flaws themselves are scant, two of the critical vulnerabilities disclosed by Oracle rank the highest severity score – 10 out of 10 – on the CVSS scale.
These include a flaw in the self-service analytics component of Oracle Healthcare Foundation, which is a unified healthcare-analytics platform that is part of the Oracle Health Science Applications suite. The flaw (CVE-2020-1953), which can be remotely exploited without requiring any user credentials, requires no user interaction and is easy to exploit, according to Oracle. Affected supported versions include 7.1.1, 7.2.0, 7.2.1 and 7.3.0.
The second severe flaw (CVE-2020-14871) exists in the pluggable authentication module of Oracle Solaris, its enterprise operating system for Oracle Database and Java applications (part of the Oracle Systems risk matrix). The flaw is also remotely exploitable without user credentials, requires no user interaction and is a “low-complexity” attack. Versions 10 and 11 are affected.
Sixty-five of the vulnerabilities also had a CVSS base score of 9.8 (and six had a score of 9.4) out of 10, making them critical in severity.
Oracle did offer some workarounds, advising that for attacks that require certain privileges or access to certain packages, removing the privileges or the ability to access the packages from users that do not need the privileges may help reduce the risk of successful attack. Users can also reduce the risk of successful attack by blocking network protocols required by an attack.
However, both these approaches may break application functionality, and Oracle does not recommend that either approach be considered a long-term solution as neither corrects the underlying problem.
“Due to the threat posed by a successful attack, Oracle strongly recommends that customers apply Critical Patch Update security patches as soon as possible,” according to the company.
Oracle releases its CPUs on the Tuesday closest to the 17th day of January, April, July and October.
Previous quarterly updates have stomped out hundreds of bugs across the company’s product lines, including one in April that patched 405. There are also out-of-band updates; in June for instance, Oracle warned of a critical remote code-execution flaw in its WebLogic Server being actively exploited in the wild.
#vulnerabilities #web security #cpu #critical patch update #cve-2020-14871 #cve-2020-1953 #oracle #oracle communications #oracle e-business suite #oracle financial services applications #oracle fusion middleware #oracle mysql #oracle retail applications #quarterly patch update #remote code execution #security update
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Oracle is combining OLTP (online transaction processing) and OLAP (online analytical processing) services in its open source MySQL database in the Oracle Cloud, via Oracle MySQL Database Service with the MySQL Analytics Engine.
With this Oracle Cloud service being introduced December 2, users gain the ability to run sophisticated analytics against their operational MySQL database. The MySQL Analytics Engine is an in-memory analytics accelerator that can scale to thousands of Oracle Cloud Infrastructure (OCI) cores.
#mysql #cloud #oracle