Operations | Monitoring | ITSM | DevOps | Cloud

ELB cost optimization- CloudSpend Amazon Elastic Load Balancing (ELB) is a load balancing service that automatically and evenly distributes incoming traffic from client-side applications across multiple virtual server instances, like Amazon EC2 instances, containers, or IP addresses, in different availability zones. It smoothly handles server instance failover and unavailability, thus increasing the application’s fault tolerance.

Today's development and operations teams are intertwined like the strands of a rope. The two heavily depend on each other to form a stronger, more solid unit. Unlike traditional teams that worked in silos, today's developers and operations’ workflows should work like a well-oiled machine. Each component needs to work together to create an efficient system that is greater than the sum of its parts.

At CloudZero, we’re pretty proud of the fact that our platform allows you to maximize your profitability by understanding your unit costs. In fact, our platform’s ability to help you easily track and analyze unit costs is one of the things that sets us apart the most from our competitors. Here is a brief breakdown of why our method of determining your company’s unit economics is so valuable and what our competitors offer — or don’t offer — in comparison.

Curious how Amazon calculates your S3 Storage Costs? Or maybe you’re wondering how you can track, control , and optimize your Amazon S3 Storage bill. This guide provides an in-depth look at Amazon S3 pricing and how to calculate your S3 Storage costs. We’ll cover all the billable elements, and the specific factors that affect S3 Storage pricing. Then, we’ll provide some simple Amazon S3 cost optimization tips that you can use to minimize your storage costs.

Lambda allows you to allocate memory for your functions in increments of 1 MB, ranging from a minimum of 128 MB to a maximum of 10,240 MB (10 GB). When we specify the memory size for a Lambda function, AWS will allocate CPU proportionally. For example, a 256 MB function will receive twice the processing power of a 128 MB function.

In the epic struggle against spiraling cloud costs, the only durable solution is automated optimization. The manual engineering efforts that most people call “cloud cost optimization” these days can be time-consuming and tedious, if not impossible at the scale at which modern data stacks operate. Moreover, they redirect valuable human resources away from technical innovation.

Amazon’s CloudHealth and VMware’s CloudHealth are two of the most popular cloud management and system monitoring platforms today. But which platform does what, and are they even direct competitors? In this post, we'll compare the two services and highlight their main differences so you can choose which to use — or whether to use both.

The need to optimize cloud costs is a fact of life for SaaS companies — it’s required to stay competitive. But to optimize effectively, you’ll first need to find a way to accurately allocate all costs to the resources, teams, products, features, and customers that generated them. However, not all cloud cost allocation methods are created equal.

Using the cloud is like ordering a meal from a restaurant. You can choose the type of food you want. You decide the amount you want to order. And, you choose the frequency you want to have it delivered to you. It's an efficient and customizable way to meet your needs — or is it? Each organization has different needs and considerations, and it takes careful thought to find the model that will best serve those needs.

The public cloud market is expected to grow significantly in 2023, and it’s no surprise. Gartner forecasts that end-user spending on public cloud services will rise by 21.7% to a total of $597.3 billion in 2023, up from $491 billion in 2022!