Connect with us

Politics

5 Cloud Cost Optimization Mistakes and How to Avoid Them

Published

on

5 Kubernetes Trends That Will Rock IT in 2022


Cloud cost optimization refers to the process of minimizing an organization’s overall cloud spend by identifying mismanaged resources, eliminating waste, reserving capacity for higher discounts, and maximizing the efficiency of cloud usage. It’s not just about cutting costs; it’s about spending smarter and deriving maximum value from your cloud investments.

The process involves a thorough understanding of where your spending is going, analyzing your usage patterns, and making informed decisions about what changes need to be made. This could be anything from shutting down unused instances, right-sizing instances to match the workload, or identifying cheaper regions or instances to use. It’s a continuous process, requiring regular reviews and adjustments as your business needs and the cloud environment evolve.

Cloud cost optimization is a key component of effective cloud management. Because it’s so crucial — mistakes made when estimating or managing cloud costs can be catastrophic for a business. In this article, we’ll explain the importance of cloud cost optimization and review five errors that can cause problems and how to avoid them.

Importance of Cloud Cost Optimization

Financial Efficiency and Cost Savings

The most obvious benefit of cloud cost optimization is cost savings. By identifying and eliminating waste, businesses can reduce their cloud spend considerably. However, the benefits go beyond just reducing costs. The aim is to achieve financial efficiency, where every dollar spent on the cloud is driving as much value as possible for the business.

Financial efficiency also involves understanding the cost implications of different cloud deployments and making informed decisions that balance cost and performance. This can lead to significant savings in the long run, as well as better resource allocation and improved business performance.

Enhanced Business Agility

Cloud cost optimization also enhances business agility. By understanding your cloud usage and costs, you can make quicker, more informed decisions about your cloud strategy. This agility allows you to respond more effectively to changes in the business environment and make the most of new opportunities.

Furthermore, with the cost savings achieved through optimization, businesses can reinvest in areas that drive growth and innovation. This could be anything from launching new products, entering new markets, or investing in research and development. This enhanced agility is a significant competitive advantage in today’s fast-paced business environment.

Improved Resource Utilization

Another key benefit of cloud cost optimization is improved resource utilization. By identifying underused resources, you can ensure that you’re getting the most out of your cloud investments.

Improved resource utilization can lead to better performance, as resources are not wasted on underused or unnecessary instances. It also helps in capacity planning, as you better understand your usage patterns and can make more accurate forecasts and allocations.

Governance and Compliance

Lastly, cloud cost optimization plays a crucial role in governance and compliance. With cloud services, it’s easy for costs to spiral out of control if not properly managed. This can lead to issues with budget compliance and even financial reporting.

By implementing effective cloud cost optimization strategies, businesses can ensure that they stay within budget and comply with financial regulations. This reduces the risk of financial penalties and improves the organization’s transparency and accountability.

5 Cloud Cost Optimization Mistakes and How to Avoid Them

Here are a few mistakes that can have disastrous consequences for businesses that invest significant resources in the cloud and what you can do to avoid them.

Not Monitoring and Analyzing Cloud Spending

One of the biggest mistakes in cloud cost optimization is the lack of consistent monitoring and analysis of cloud spending. Without a clear understanding of where your money is going, making informed decisions about optimizing costs is impossible.

To avoid this mistake, create a comprehensive inventory of all your cloud resources. This should include details such as instance types, storage volumes, data transfer costs, and any other services you use. Next, implement a system for tracking these costs over time. Many cloud providers offer built-in tools for this, but third-party solutions are also available.

Remember, the goal of monitoring and analyzing your cloud spending isn’t just to get a snapshot of your current costs. It’s about identifying trends, understanding the factors driving your expenses, and making proactive decisions to optimize your spending.

Overprovisioning Resources

In an on-premises environment, providing resources based on peak demand is common to avoid performance issues. However, in the cloud, this approach can lead to significant waste.

The beauty of cloud computing is its elasticity – you can scale resources up and down as needed. To take advantage of this, you need to understand your workloads and their requirements well. This involves monitoring usage patterns and adjusting your provisioned resources accordingly.

Again, many cloud providers offer tools to help with this. For example, AWS’s Trusted Advisor recommends optimizing resources based on your usage patterns. By following these recommendations, you can avoid overprovisioning and save significantly on your cloud costs.

Neglecting Unused or Orphaned Resources

Just like a physical workspace can accumulate clutter over time, so can your cloud environment. Unused or orphaned resources, such as unattached storage volumes or idle virtual machines, can add up to substantial costs over time.

The solution to this is regular housekeeping. Make it a habit to review your cloud environment regularly and clean up any resources that are no longer needed. This not only reduces costs but also helps to keep your environment organized and efficient.

Keep in mind that this isn’t just about deleting resources. In some cases, resources may be underutilized rather than completely unused. In such cases, downsizing or consolidating these resources can lead to cost savings.

Ignoring Reserved Instances or Savings Plans

One of the most effective ways to optimize cloud costs is to take advantage of reserved instances or savings plans. These are offerings from cloud providers that allow you to commit to a certain level of usage in exchange for discounted rates.

Yet, many businesses shy away from these offerings due to a lack of understanding or fear of being locked into a long-term commitment. While it’s true that these commitments require careful planning, the cost savings can be substantial.

To make the most of reserved instances or savings plans, start by identifying steady-state workloads that are likely to run continuously for a long period. Then, compare the costs of running these workloads on demand versus under a reserved instance or savings plan. In most cases, you’ll find that the latter option offers significant savings.

Ignoring Regional Pricing Differences

The last mistake we’ll highlight is the lack of awareness of regional pricing differences. Cloud providers often have different pricing for their services in other regions. By strategically choosing where to deploy your resources, you can take advantage of these price differences and achieve significant savings.

While this may sound daunting, it’s easier than you might think. Many cloud providers offer pricing calculators that can help you compare costs across regions. By using these tools and taking the time to understand the pricing structure, you can make informed decisions that optimize your cloud costs.

Conclusion

Cloud cost optimization isn’t just about cutting costs. It’s about maximizing your cloud investment and unlocking its full potential. By avoiding the common mistakes outlined above, you can ensure your cloud journey is cost-effective, strategic, and value-driven.

Remember, cloud cost optimization is a continuous process. It requires regular monitoring, analysis, and adjustment. But the effort is well worth it. With careful planning and proactive management, you can transform cloud cost optimization from a challenge into an opportunity for growth and innovation.

Featured Image Credit: Provided by the Author; Freepik.com/free-vector; Thank you!

Gilad Maayan

Technology writer

I’m a technology writer with 20 years of experience working with leading technology brands including SAP, Imperva, CheckPoint, and NetApp. I am a three-time winner of the International Technical Communication Award. Today I lead Agile SEO, the leading marketing and content agency in the technology industry.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

Published

on

Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

Continue Reading

Politics

Fortune 500’s race for generative AI breakthroughs

Published

on

Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading

Politics

UK seizes web3 opportunity simplifying crypto regulations

Published

on

Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

Continue Reading

Copyright © 2021 Seminole Press.