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The latest News and Information on Cost Management and related technologies.

15 Datadog Alternatives Worth Your Consideration

As an engineer or CTO, you already know that monitoring your tech stack is essential for maintaining optimal performance, security, and health. The thing is, building and hosting an observability platform for your full stack’s logs, metrics, and more is quite time-consuming and can be costly. One of the top contenders if you are seeking a SaaS-based monitoring and observability tool is Datadog. Perhaps you already use Datadog but would like to switch to another observability platform.

AWS Egress Costs Explained: How To Reduce Spend

The majority of cloud providers let you upload data for free. But moving that same data across their services, to another cloud provider, or back to your own data center comes at a cost commonly known as AWS egress costs. The cost may be cents per gigabyte (GB). But once you exceed the free tier’s 100 GB, it starts to add up. In this guide, we explain how AWS egress pricing works. With this understanding, along with the cost-saving tips we’ll share, you can reduce your egress costs like a pro.

Amazon DynamoDB Pricing Simplified: A 2024 Guide For Cost Savings

You’re not alone if you’ve had trouble understanding Amazon DynamoDB pricing. Getting a handle on DynamoDB costs can be complex and tedious. But with the right tools and resources, it doesn’t have to be. In this bookmarkable guide, we’ll break it down step-by-step so you can tell what drives DynamoDB costs.

What Is Cloud Orchestration? The 15 Best Tools In 2024

Automation is something you hear a lot about in cloud computing. When done well, it helps save time and eliminates human error. Automation can also help you innovate faster because it frees up your IT talent to focus on innovation – rather than repetitive tasks. But did you know cloud orchestration could be the real reason for those benefits — and not really cloud automation?

Azure Storage Cost Optimization: 19 Ways To Cut Waste

Azure storage pricing can be complex, with multiple tiers, storage types, and payment options to consider. This complexity can lead to unexpected costs, ruining your Azure cloud budget. Additional fees for read/write transactions, metadata storage, snapshots, and early deletion fees can add up. The good thing is you can review and adjust your storage configurations to minimize unnecessary costs.

Optimizing Azure Cosmos DB Costs

Optimizing Azure Cosmos DB Costs In this episode of FinOps on Azure, FinOps certified practitioner - Mike and Gary from the Microsoft Cosmos DB team discuss cost management challenges on Azure, specifically focusing on Cosmos DB. They begin by addressing the common challenges organizations face when managing costs on Azure, particularly with Cosmos DB. The conversation then shifts to practical strategies for cost optimization, including topics like provisioned throughput choices, API options, and factors affecting cost.

20 Cloud Migration Tools To Consider Before Your Migration

Organizations are shifting to cloud computing to optimize operations and cut costs. Cloud migration involves transferring data, applications, and other elements to cloud infrastructure. This step is crucial for improving scalability, flexibility, and performance. Yet cloud migration comes with challenges. It needs careful planning, execution, and management to ensure a smooth transition to effective cloud use. Cloud migration tools address these challenges.

Navigating the CloudHealth Broadcom Acquisition

If you operate in FinOps, are part of an MSP, or work for an enterprise utilizing the cloud, you’re likely familiar with the latest updates on CloudHealth after its acquisition by Broadcom. Since 2018, CloudHealth has been closely tied to the term “acquired,” initially by VMware and now by Broadcom, creating an ongoing change cycle. Clients and prospects are understandably cautious when observing CloudHealth as the climate uncertainty and instability grow.

Myth #3 of Apache Spark Optimization: Instance Rightsizing

In this blog series we are examining the Five Myths of Apache Spark Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Spark users: Choosing the right instances will eliminate waste in a cluster.