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Amazon Web Services (AWS) offers over 200 services. But, AWS Lambda continues to stand out for several reasons. This AWS Lambda tutorial will help explain Lambda in simple terms so you can decide if the service suits your computing needs. We’ll cover AWS Lambda, how it works, how it compares to EC2, use cases, benefits, limitations, and more. Additionally, we’ll cover how you can monitor and manage your Lambda costs without the burden of cost management.

Containers improve application development with portability, efficiency, and scalability while accelerating deployments. Amazon ECS and Kubernetes are two of the top choices for container orchestration, but how do they stack up against each other? In this guide, we’ll break down the key differences, helping you choose the right solution for your containerization needs.

AWS Lambda is an event-driven compute service, which means it executes tasks automatically when triggered by a compute event. This automation also means that your Lambda costs can quickly exceed your budget. That is especially true when you’re not familiar with AWS Lambda pricing. In this guide, we’ll discuss the AWS Lambda pricing model, including how billing works and how to optimize Lambda costs.

As the SaaS industry grows enormously, data management has become a major challenge for most organizations. MongoDB provides a robust framework for managing and scaling data. Its document-based model simplifies handling diverse data types, making it ideal for real-time applications and large datasets. This guide covers the top MongoDB tools that help businesses stay agile and competitive in data-driven environments. But first, how does MongoDB compare to traditional SQL databases?

Looking to optimize your Kubernetes architecture? While the word “Kubernetes” translates to “helmsman” (i.e., someone who steers a ship), Kubernetes ultimately functions more like an orchestra conductor than a ship captain. Kubernetes (also known as K8s) simplifies the orchestrating containers for engineers. This frees engineering up to focus on innovation, reduce time to market, and optimize cloud spend.

Harness.io is one of today’s most popular platforms for automating continuous delivery (CD). The platform enables engineers to build CD pipelines (Harness Smart Automation) rapidly, automatically verify code changes to reduce rollbacks (Harness Continuous Verification), and deliver enterprise-grade security (Harness Continuous Security) for teams of all sizes. With Harness Cost Management, you can even optimize your AWS cloud costs.

Kubernetes is one of the most significant advances in cloud computing since the public cloud. It provides an open-source, highly scalable, and cloud-native platform for orchestrating containerized applications. More organizations now use Kubernetes to deploy, network, scale, and manage containers at scale. In addition, the Kubernetes architecture empowers them to deploy containerized applications swiftly across various platforms, support distributed systems, and scale operations to meet demands quickly.

In June 2024, Amazon hit an astounding $2 trillion valuation, joining the elite ranks of companies like Alphabet, Apple, Microsoft, and Nvidia. This growth was largely driven by the success of its cloud computing division, Amazon Web Services (AWS), which holds one-third of the global cloud market share. That equals the combined market share of Microsoft Azure and Google Cloud! But who are AWS’s biggest contributors to this success?

We see it often. Too many companies struggle to optimize their cloud costs — whichever platform they use, from Microsoft Azure to Amazon Web Services (AWS) and Google Cloud Platform (GCP). So, in this guide, we are sharing over 20 Azure cost optimization best practices you can apply right away — all in a calorie-free, snackable guide you can read in less than a coffee break.

In 2006, Amazon Web Services (AWS) pioneered cloud computing as we know it today. With about 34% of the market share, Amazon Web Services remains the largest cloud infrastructure provider today, followed by Microsoft Azure and Google Cloud Platform (GCP). AWS is a Cloud Service Provider (CSP). That means AWS builds, maintains, and continually improves multiple data centers worldwide and then rents the computing infrastructure to other companies over the Internet as needed.