cloud Archives - Digilah

Written by Navpreet Kaur on Digilah (Tech Thought Leadership).

AI and Cloud Computing are two revolutionary fields in tech which are evolving human life with greater impact.

The future belongs to Cloud and AI.

Cloud is offering scalability of services across masses without relying much on the availability of hardware.

It offers you agility, scalability, data management while AI offers intelligent models which can perform various tasks in lesser time.

Thus increasing the efficiency and productivity of the applications.

There are multiple clouds available such as AWS, Azure, Google Cloud, IBM Cloud etc.

Cloud services help to reduce on-premises hardware load by reducing computation costs and hardware costs.

While AI can be used to do repetitive tasks. Solve those problems quickly therefore increasing productivity.

It also reduces the chance of any human error since everything is automated. Using AI based models, various real time dashboards can be created to check and analyze the applications.

Therefore, this can increase the efficiency of the system.

AI observability can be used to strengthen security in cloud computing by identifying potential threats and vulnerabilities more accurately and quickly.

With the help of machine learning and pattern recognition, AI-driven security tools can analyze massive amounts of data. It can detect suspicious activities, thereby preventing cyber-attacks.

This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies but also brings a new degree of accessibility to AI technology.

Big tech giants are investing tremendous amounts in AI and Cloud based technologies in their products and services.

This enables their businesses to enhance:

– decision-making

– streamline processes

Also provide superior customer experiences, leading to more innovative solutions and increased scalability for the business.

In conclusion, AI and Cloud technologies are shaping the new world in a better way.

As AI adoption continues to grow across industries, the tech giants’ ability to capitalize on AI-driven innovations and productize them, will play a crucial role in their future success.

There needs to be continued leadership in the cloud computing space.

Most searched questions

What is the role of AI in cloud computing?

What is the advantage of using cloud?

Most searched queries

Artificial Intelligence

Cloud

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Written by Adora Nwodo on Digilah (Tech Thought Leadership).

In today’s business landscape, staying competitive and driving technological innovation requires businesses to adapt quickly and optimize costs.

The cloud has revolutionized operations by offering advantages like scalable resources, operational efficiency, and global accessibility.

However, effectively leveraging cloud environments within budget limitations can be challenging, especially for agile businesses with limited financial resources.

This article provides multiple strategies for businesses to optimize their cloud costs. By implementing these strategies, businesses can encourage innovation, facilitate expansion, and achieve cost optimization.

To optimize cloud costs, businesses must first understand the cloud cost landscape. Infrastructure, compute resources, storage, networking, and additional services like databases, AI/ML, and analytics are typically part of cloud costs.

Cloud service providers offer different pricing models, including pay-as-you-go and reserved instances, each with its own cost implications. Businesses can make informed decisions and devise cost-cutting strategies by understanding these elements.

They can evaluate pricing options, customize resource usage, and balance innovation and cost optimization without sacrificing performance.

Cloud Cost Optimization Techniques

This section explores three cloud cost optimization techniques that businesses can use to reduce cloud costs and increase financial efficiency.

Rightsizing Cloud Resources for Efficiency

Businesses often struggle with the challenge of inefficiently provisioning cloud resources, leading to unnecessary expenses. To tackle this, rightsizing optimizes resource allocation to strike the right balance between performance and cost.

This involves closely monitoring resource usage and analyzing metrics such as CPU usage, memory utilization, and network traffic.

By understanding the connection between resource allocation and workload requirements, businesses can make informed decisions to ensure optimal performance.

Automation tools play a crucial role in the rightsizing process, enabling businesses to dynamically allocate or deallocate resources based on real-time demand.

These tools automate tasks like scheduling non-production resource start and stop times, allowing businesses to pay only for the actual hours of usage.

Adopting Cloud Cost Management Tools

Cloud service providers offer cost-management tools that enable businesses to effectively monitor, analyse, and control their cloud spending.

These tools provide insights into various aspects of cloud costs, helping businesses identify cost drivers, evaluate resource utilization, and track cost trends.

By leveraging the data provided by these tools, businesses can pinpoint areas where cost-cutting efforts can have the most impact and prioritize their cost-cutting strategies accordingly.

Cost management tools also enable businesses to track cost trends over time, offering historical cost data and visualizations of cost patterns and fluctuations.

This allows businesses to identify cost variations, seasonal patterns, and unexpected cost spikes, empowering them to proactively plan and optimize their cloud spending for better cost management.

Examples of cloud cost management tools include Densify, CloudZero, and Apptio Cloudability.

Leveraging Server less Architecture

Server less computing has transformed cloud cost optimization by shifting from infrastructure management to code execution.

This change eliminates the need for continuous provisioning, management, and scaling of server resources, resulting in significant cost savings.

The pay-per-use pricing model of server less platforms ensures businesses only pay for the resources consumed during function execution, eliminating idle capacity and wasteful spending.

Additionally, server less architectures enable agile businesses to accelerate application development and deployment.

With modular server less functions, developers can focus on specific features or functions, leading to shorter development cycles and a faster time-to-market.

This agility allows businesses to seize opportunities and drive innovation while staying within budget constraints.

Conclusion

Innovating on a budget is a challenge that many agile businesses face. These businesses, however, can achieve a delicate balance between innovation and financial caution by investigating cloud cost optimization solutions.

Understanding the cloud cost landscape, rightsizing resources, adopting cost management tools, and leveraging server less computing can help drive innovation while controlling expenses.

Most searched questions

What is cloud computing?

What are the cloud tools which can be used to reduce the cloud costs?

Most searched queries

Cloud services

Cloud resources.

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