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Product Release Notes November 2024

Happy AWS re:Invent week, everyone! While we have some larger announcements coming out this week (keep an eye out), we’d be remiss if we didn’t take the time to also look back at what our teams have been working on over the past few weeks. While we didn’t have a stated theme for November, you will see that two of our updates revolve around building templates or examples to help make achieving your goals easier with CloudZero.

AWS vs. Azure vs. Google Cloud Comparison, and an S3 Storage Alternative

Amazon Web Services, Microsoft Azure, and Google Cloud dominate the tech industry when it comes to cloud storage management and storing large-scale data for enterprises. Each service offers an abundance of features integrated into its service to suit businesses' unique needs ranging from: With all these features available, businesses interested in multi-cloud environments may be left wondering who wins the AWS vs. Azure vs. Google Cloud battle.

GPUs on AWS: How to Run Complex Math Faster and Cheaper

As cloud architects, we’re all chasing the holy grail: performance and cost-efficiency. Whether you’re running complex mathematical algorithms, AI workloads, or just trying to process massive datasets, the type of EC2 instance you choose can make or break your goals. In recent months, more customers from industries like medical imaging and cybersecurity have been turning to GPU-powered EC2 instances to supercharge their computations.

Optimize and troubleshoot cloud storage at scale with Storage Monitoring

Organizations today rely on cloud object storage to power diverse workloads, from data analytics and machine learning pipelines to content delivery platforms. But as data volumes explode and storage patterns become more complex, teams often struggle to understand and proactively optimize their storage utilization. When issues arise—such as unexpected costs or performance bottlenecks—these teams frequently lack the visibility needed to quickly identify and resolve root causes.

Understanding the Differences Between Flow Logs on AWS and Azure

AWS VPC flow Logs and Azure NSG flow Logs offer network traffic visibility with different scopes and formats, but both are essential for multi-cloud network management and security. Unified network observability solutions analyze both in one place to provide comprehensive insights across clouds.

5 key OCI services you must monitor for optimal cloud performance

Effectively monitoring Oracle Cloud Infrastructure (OCI) services is crucial for maintaining smooth operations, cost efficiency, and robust security. OCI offers a suite of services, each vital to powering applications and workloads. Understanding what to monitor and why is key to preventing downtime, managing costs, and optimizing performance.

5 Cybersecurity Tips for Managing Blockchain in Cloud Environments

Blockchain is reshaping industries by offering transparent and secure transaction processes. When paired with cloud environments, it unlocks even greater scalability. But this combination introduces risks. Without strong cybersecurity practices, sensitive data becomes vulnerable. Attacks on blockchain-based systems are rising, targeting loopholes in poorly managed setups. How can you protect your blockchain infrastructure in the cloud? Here are a few lynchpin strategies to implement for this purpose.

Mastering cloud tag management: A key to smarter cloud cost management

Cloud tagging The cloud has revolutionized the way businesses operate, providing unparalleled scalability and flexibility. However, effective cloud cost management can be challenging, with a significant part of this due to the way cloud resources are tagged. In this blog, we’ll explore how cloud tag management plays a crucial role in cost management and reveal how tools like ManageEngine CloudSpend simplify budgeting and forecasting for organizations.

Split your projects in Azure DevOps

This enhancement is part of Raygun’s 12 Days of Christmas 2024. Over the next few weeks, we’ll share daily updates on bug fixes and feature improvements inspired by feedback from you, our customers. These are the small but impactful changes you’ve asked for, designed to make Raygun faster and easier to use. Check back tomorrow for the next update and see how we’re leveling up your experience one day at a time! Our special thanks to David from Atlanta who suggested this great idea!

Monitor AWS Trainium and AWS Inferentia with Datadog for holistic visibility into ML infrastructure

AWS Inferentia and AWS Trainium are purpose-built AI chips that—with the AWS Neuron SDK—are used to build and deploy generative AI models. As models increasingly require a larger number of accelerated compute instances, observability plays a critical role in ML operations, empowering users to improve performance, diagnose and fix failures, and optimize resource utilization.