CloudOptimo Blog

This guide explores all your options for optimizing your cloud server costs on AWS. Learn about On-Demand, Reserved, Savings Plans, and Spot Instances to find the perfect fit for your workloads. Slash your cloud bill and maximize your ROI with clear explanations, use cases, and a helpful comparison table.

Cloud computing offers incredible flexibility and scalability. Need more resources? Simply scale up additional instances. But this very convenience can lead to a hidden cost trap. Autoscaling bridges this gap, automatically scaling your cloud resources (instances) up or down based on real-time demand. It ensures you have the right resources to handle your workload, optimizing performance and cost.

Big data is everywhere these days and there is often a huge amount of data that needs to be sorted through. Conventional approaches to handling this data often fall short. Amazon Elastic MapReduce (EMR) service and other cloud services can assist with that. EMR scales seamlessly to handle datasets of any size, allowing you to tackle even the most complex big data challenges.

With the rapid growth in IT infrastructure and services, enterprises are steadily upgrading to cloud computing technology to save costs and increase the reliability of their applications. Amazon’s AWS, Microsoft's Azure, and Google’s GCP are top cloud service providers with significant market share. Enterprises consider several factors when choosing the right cloud provider.

In the current digital era, cloud computing has become an essential tool for companies looking to innovate and simplify their processes. However, shifting to the cloud also brings a new set of security problems. Some businesses have continued to use poor safety and security protocols in spite of how important it is to secure cloud environments; this has left them open to a variety of cyberattacks.

When your startup starts growing, the application running on a single node(monolithic app) starts facing degraded performance. The reason is a limit that every technology stack has to serve a certain number of concurrent requests/ tasks per second. This limit could be due to the amount of resources available to the application.

Software Development Lifecycle has quickly evolved during the last decade putting more emphasis on continuous integration(CI), built-in testing, constant monitoring, and analytics feedback. They all point toward an overall trend in the software industry: increasing the ability to react. As companies are trying to adapt to these changes, they invariably discover continuous delivery, commonly known as a CD.

We are happy to announce support for Stateful Application using AWS Spot Instances over OptimoGroup. By definition, Spot Instances are Ephemeral meaning that they can be terminated by AWS at any time. This was a requirement which many of our clients raised who wished to migrate their Stateful Applications to CloudOptimo. This will allow our customers to achieve Data Persistence using Spot Instances.

AWS recently announced a new Load Balancer called as Network Load Balancer(NLB). It operates at OSI Layer 4(Transport) that can handle millions of requests per second while maintaining high throughput at ultra-low latency. Let’s look at its feature set to understand how you can utilize it.