We’ve used hashicorp packer in the past but use image builder now . We have a few AMis based on AWS marketplace images using Ubuntu and windows as a base . In the far but eventual future there may be a need to do some image building in azure but was curious what other mostly AWS “cross cloud “ places are using or if going back to packer would be time consuming or not have the functionality we have with IB

Maybe this is taking it a bit too far. But with Geico, 37 Signals, I do think there is a push to go on prem. My Grafana bill is insane :(

https://x.com/chrisabruce/status/1864014524405203286

As the title said, I recently got to use Digital Ocean and noticed that they charge by the month and not just by usage. The question is, is there another cloud service that charges only by computer usage?

TY

Are there any decent cloud software as good as Dropbox? Dropbox has been pretty pricey and I need to get out of that service. I tried Sync and One drive those are not as good as Dropbox I think.

Hi Everyone,

Have been evaluating which service to use for storage and model building purpose. Was curious on knowing which platform you used and why you ended up using that ? I know overall AWS will end up getting cheaper, but any recommendations ? Also, We are in a project building where we are setting up everything and was thinking for long term and strategic standpoint. Any insights would be great.

Thanks in advance.

hi guys im a full stack developer student , and currently i decided to learn abt cloud so im studying to pass the aws practitioner. is it normal for an it enginner to learn dav and cloud and devops in once or i should just focus on a single thing ???. based on your experiences ,just drop your advice please ❤️

As the demand for cloud platforms will increase, the need for specialisation increases to to meet the added complexity.

Providers like Amazon, Microsoft and Oracle  will find their niche and specialist in it. Azure already beats the market in availability zones (storage) AWS beats the market in compute, and OCI enables organization utilize bare metal servers (basic all in 1)

The road maps for these providers will change to comply with more stringent and failsafe niches within cloud resources (storage, network, etc) while smaller companies cater to simpler all-in-one cloud use cases.

What do you think?

Planning to get a cloud/devops internship done with az 900 will give az 104 by next month . Drop some tips which would help me achieve it

I have 2 years of experience from WITCH company but whole time i was on bench.4 months ago i resigned. I know java and react but need to revise from start . I think both frontend and backend is saturated . I wanted to know if cloud and devops is as saturated as frontend and backend.

please help me i need to start learning . i dont have any particular intrest i just need job as soon as possible.

thankyou.

Hello guys... I'm busy learning observability and monitoring.... Specifically Prometheus, Grafana, ELK stack, Opentelemetry...

Just a random thought, and requesting advice.... How relevant is this topics now.... I mean we deploy an app stack to the cloud, be it AWS or Azure, and the cloud providers provide all the tools to monitor your app, including sending out alerts etc... So hence I ask, how relevant is the standalone monitoring tools that's out there nowadays especially the topics I'm learning above.

Microsoft's Azure Service Level Agreements (SLAs) are legally binding promises that guarantee the performance and availability of Azure cloud services. These SLAs provide customers with a minimum level of service and cover various aspects, from support response times to uptime and performance metrics. Transparent SLAs are crucial for making informed decisions, particularly for organizations considering migrating to Azure. Understanding SLAs is essential for such organizations and should be included in their comprehensive Azure migration checklist.

Azure Service Level Agreements (SLAs) play a vital role in ensuring the reliability and performance of cloud services. By guaranteeing uptime, predictable performance, and compensation for downtime, SLAs provide customers with a sense of security and confidence. This, in turn, enhances customer satisfaction and strengthens the relationship between Azure and its users.

• Enhanced Customer Satisfaction: Fosters trust and confidence among customers.
• Risk Mitigation: Reduces the risk of disruptions and performance issues.
• Legal Protection: Provides legal recourse for customers in case of SLA violations.
• Improved Business Continuity: Supports business continuity planning and disaster recovery.
• Competitive Advantage: Azure is different from other cloud providers.
• Enhanced Compliance: Azure Maintenance Services can help organizations comply with industry-specific regulations and standards.
• Lower Total Cost of Ownership (TCO): By preventing downtime and minimizing the need for emergency repairs, Azure Maintenance Services can help reduce overall costs.
• Increased Business Agility: A well-maintained Azure environment can provide greater flexibility and responsiveness to changing business needs.
• Improved Customer Experience: A reliable and performant Azure platform can lead to a better overall customer experience.
• Reduced Risk of Data Loss: Regular maintenance and updates can help prevent data corruption or loss due to hardware failures or software vulnerabilities.
• Improved Security Posture: Proactive maintenance helps to identify and address security threats before they can cause significant damage.
• Improved Disaster Recovery: A well-maintained Azure environment can be more resilient to disasters and outages, enabling faster recovery times.
• Increased Innovation: A reliable and performant Azure platform can support innovative initiatives and business growth.

Azure Migration Services play a pivotal role in ensuring that Microsoft meets its Azure Service Level Agreements (SLAs) for cloud services. These SLAs outline specific performance and availability commitments that Azure makes to its customers.

Since there are a lot of other tools that seem to be gaining traction is terraform still at the place that it used to be now that the license is no longer fully open source?

We're a small company that needs about 7 terabytes of storage. Our MSP suggested Egnyte. Since we're 35 people, and each Egnyte account comes with 200 GB of storage, there's our 7 TBs, but at $20 per user, that's $700 a month.

I researched and found a number of companies that offer storage at around $7 a TB, so 7 TBs would be under $50 a month. Now Egnyte has a bunch of sharing, collaborating, and versioning features that we will never, ever need or use. The companies with the cheap storage don't have those features, but we don't need them

So my question is, these features aside, what's different in terms of security and reliability between the expensive and cheap solutions, and is there a middle ground that I haven't found?

Reaching out to you to ask this. I've a solid background as sysadmin - though today I should polish those skills a little because I've been working as a SCADA engineer in the latest years. After getting burned out 2 times being on critical infrastructure being blamed upon to even put a wrong person in CC on official emails I decided to step out that field and come back to what interested me the most in the first place. Now I'm evaluating a career in cloud that seems very promising and closer to what tickles me actually. I have the opportunity to either move to cloud or cloud security as well. The latter is a plus for me because is near my hometown and I'd go for it also for a work life balance improvement. That being said, I don't have any knowledge on cloud. What is the most preferred way to step in? Cloud security is too difficult to start with for me while the other way round could be preferred?

Hi all,

A month ago, I posted in this thread about the topic of 'cloud exit':
https://www.reddit.com/r/Cloud/comments/1gawmls/cloud_exit_assessment_how_to_evaluate_the_risks/

Since the post received great attention and feedback from many of you, I’m excited to share the open-source version I’ve been working on for a while:
https://github.com/escapecloud/cloudexit/

I understand the security concerns around creating and sharing secrets. With this open-source tool, you can perform a limited assessment using your existing az cli or aws cli configurations, without the need to create additional credentials.

Looking forward to your thoughts and feedback!

Regards,
Bence.

https://preview.redd.it/7c5zlubbcz2e1.jpg?width=750&format=pjpg&auto=webp&s=199c206b4674e39ead3e629e3b7d140877968a0e

Introduction to Enterprise Community Cloud
Enterprise Community Cloud solutions introduce a new revolution in the face of cloud computing. Not the public or private clouds that are to be used, community clouds are specifically for organizations with shared goals, regulations, or security concerns and bring them together in one seamless environment. The ideal fusion of two world: the scalability of public clouds with the bespoke security of private clouds, all into one.

With digital transformation speeding up in all industries, cloud solutions for enterprises have emerged as an essential backbone of modern IT infrastructure. Community cloud has opened vast avenues for enterprises as it will immediately enable them to leverage the benefits of cloud computing, maintain focus on collaborative endeavours, and stay compliant. According to a Gartner report, the enterprise cloud market is likely to reach at $409 billion in 2023 and reach up to $1.3 trillion by 2027, with the increasing trend of adoption for cloud solutions tailored to the needs of specific industries.

What is an Enterprise Community Cloud?
An enterprise cloud community is essentially a deployment model of cloud where several enterprises within the same domain would like to share the same dedicated cloud infrastructure. The major advantage of sharing such a platform is primarily beneficial to organizations that require regulatory compliance within an industry or customized security solutions.

Key characteristics of enterprise community cloud solutions include:

• Collaborative Environment: The supporting common infrastructure makes it possible for multiple organizations to collaborate securely together. According to a study from IDC, 74% of organizations report improvements in collaboration after transitioning to a community cloud model.
• Cost Efficiency: With shared resources it is less expensive than would be individually incurred in an isolated private cloud. Forrester Research states that companies can save 30% to 40% infrastructural cost through a community cloud.
• Tailored Security: The best security practices are followed and there is adherence to collective compliance. It follows the best security protocols, and according to a McKinsey report, 89% of organizations find community cloud as the most valuable solution in terms of security.

Benefits of Enterprise Community Cloud Solutions

• Improved Cost Management: Cost management is one of the prime advantages that community clouds offer. The shared infrastructure costs are divided among various organizations, thereby decreasing the costs for each organization as compared to the traditional setup of a private cloud. As per Markets and Markets, one such research study indicates that when using shared infrastructure, the potential for savings in the cost of cloud goes up to 45%. Thus, the financial flexibility offers an opportunity for organizations to spend more on strategic initiatives.
• Regulatory Compliance: Organizations in finance, healthcare, and government operate and need strict regulatory compliance. Cloud solutions within the community category serve the purpose of providing industry-specific compliance within their security frameworks. For example, Healthcare IT news reported that 70 percent of the healthcare providers use cloud services for regulatory compliance with standards like HIPAA.
• Enhanced Collaboration: The shared infrastructure of a community cloud raises the level of interoperability between various organizations. This is foremost in the industry sectors, particularly in collaborative research, education, and joint ventures with clients. Enterprise cloud computing in a community-oriented view promotes coordination for shared data sets, collaborative applications, and workflows. Indeed, as EDUCAUSE discovered, 82% of higher education institutions currently employ cloud solutions to facilitate more effective collaboration research.

Key Differences Between Community Cloud and Other Cloud Models
While community clouds share similarities with both public and private clouds, key distinctions set them apart:

• Public Cloud vs. Community Cloud: the former is scalable, but does not implement specific industry security protocols. The latter though is developed with tailor-fit security addresses to a grouping of like-minded organizations. In accordance with Flexera, 61% of enterprises now prefer hybrid or community cloud environments because of their compliance and security features.
• Private Cloud vs. Community Cloud: Community clouds, unlike private ones, provide exclusivity at cost-effective prices to a group of related organizations.

Use Cases for Enterprise Community Cloud Solutions
Community clouds are extremely flexible and may be applied in almost any sector. Below are some notable use cases:

• Healthcare: Hospitals, clinics, and medical research institutions often need to share data while ensuring patient privacy. A community cloud can offer HIPAA-compliant infrastructure that facilitates data sharing without compromising security. In the U.S., 60% of hospitals have adopted cloud services, with a growing trend in community-based models, according to HIMSS Analytics.
• Financial Services: Here, banks and other financial organizations may take up community clouds for collaborative ventures, shared analytics, security protocols which are on a par with industry requirements and compliance standards like PCI-DSS. In the words of PwC, 50% of financial institutions have migrated to cloud-based services while community cloud adoption has gone up for shared compliance.
• Education and Research: Universities and research centers will benefit from a community cloud to share all research data, resources, and collaborative tools in an appropriate and secure way. Almost 75 percent of UK universities are working on the same cloud infrastructures for their collaborative projects, according to Jisc.
• Government: Different governmental agencies with overlapping mandates can collaborate more efficiently while maintaining stringent security measures. 47% of government agencies worldwide are expected to adopt cloud infrastructure by 2025, with community cloud solutions a key part of this transition, according to Gartner.

The Technological Foundation of Enterprise Cloud Computing
Enterprise cloud computing, based on a community framework, relies on various advanced technologies to maintain its strength and versatility:

• Virtualization: This enhances the utilization of real machines through multiple virtual machines running on shared hardware.
• Containerization: The applications are allowed to run in isolated environments, ensuring security and compatibility across different organizations.
• Automated Management Tools: enables automation of managing resources, as much IT supervision is eradicated.
• Advanced Security Protocols: Multi-layered authentication, Data encryption, and Regular audits ensure the shared resource is not compromised.

Challenges and Considerations
While enterprise community cloud solutions offer myriad benefits, there are some challenges that organizations should be mindful of:

• Data Sovereignty: Compliance with regional laws for data storage and processing continues to be challenging in the community cloud environment.
• Shared Responsibility Model: Enterprises must define clear-cut roles and responsibilities to avoid confusion when dealing with shared infrastructure.
• Customization Limits: Although more customizable compared to public clouds, community clouds are still less customizable than a private cloud.

Choosing the Right Enterprise Cloud Solution

https://preview.redd.it/r6naag0ocz2e1.png?width=1280&format=png&auto=webp&s=5cae15df519a031ef7ca6889968e9a4f6ab7dd50

When selecting an enterprise cloud solution, organizations should consider:

• Regulatory Needs: Cloud Solution Must Satisfy Industry-Specific Compliance Requirements.
• Scalability Requirements: Support and Scale Resources in Proportion to the Business Growth.
• Security Features: Check whether the Company provides solid security solutions suitable to the industry
• Collaboration Tools: Determine if the cloud infrastructure supports collaboration by providing shared applications and data management.

Conclusion
Enterprise community cloud solutions bridge the gap between public and private cloud models, providing accountable, secure, and cost-effective platforms for organizations that share mutual interests and regulatory needs. Enterprises can then fully harness the power of cloud computing by leveraging community cloud results that spearhead innovative dimensions in advancing competitive advantages in the fast-evolving world of the digital landscape.

ESDS Enterprise Community Cloud has been one of the leaders in the space, as solutions are customized to satisfy the specific compliance and security needs of industries. Built for straightforward collaboration, ESDS instills confidence in cloud computing for enterprises. Sustainability, security, and scalability form the core of our offerings in ESDS to be a trusted partner to organizations who need to commit a community-centric approach for their adoption of cloud computing.

For the organizations looking to shift their approach toward IT infrastructure toward collaboration, ESDS Enterprise Community Cloud is almost more like the future, rather than just an option.

Visit us: https://www.esds.co.in/enterprise-community-cloud

For more information, contact Team ESDS through - 🖂 Email: getintouch@esds.co.in| ✆ Toll-Free: 1800-209-3006 | Website: https://www.esds.co.in/

Hello! Not sure if this is the right subreddit, if not please tell me where I should ask this question.

I am part of a high school computational research group and we have a molecular dynamic simulation in OpenMM. One of the major issues right now is being able to run enough replications (simulations) for it to be a strong research paper and get proper results. Our current simulation time is ~8 hours with a RTX 4060 ti and Ryzen 5 5700h. We only have this week to get, analyze the results, and finish the paper for submission to a contest. One of the solutions our advisor gave us was to use Amazon Web Services (AWS) to do this, but we're worried that it would cost a lot or that it would be too slow for us to make it to the deadline. Not to mention that none of us are experienced with cloud services and we're not sure where to begin.

So my question to you all is how do I do this? How much would it cost? How long would it take to run one simulation? Time to setup (Code is already completed, just the time to set up the service along with changing the code for it to be compatible)? Does AWS allow other python packages to be imported? Any tips for a first time beginner? (I did do a little bit of research on this, but not much so any info would be appreciated).

Simulation info:

Coding Language: Python

Packages and Modules: OpenMM, PyRoseTTA, some built in python ones

Simulation details: https://www.reddit.com/r/comp_chem/comments/1gyxjvj/minimum_trials_for_molecular_dynamic_simulation/ (Mainly bc I don't want this post to be too long nor is this a Computational Chem subreddit, I'll change this link if you'd rather see the info and not the post)

Memory Usage when running: 512 MB to 1 GB of Memory

I want to learn the necessary concepts and tools for optimizing cost in the cloud.