Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Cloud monitoring, security and related technologies.

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.

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!

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.

Simplify operations across hybrid cloud with OpsRamp

According to IDC, 80% of organizations are running hybrid and multicloud environments, bringing new complexities and risks for IT leaders*. When it comes to operations, IT teams find it challenging to maintain visibility across cloud and on-prem systems, optimize more and more tools, and automate operations—all while ensuring cost efficiency and staying agile. Traditional approaches complicate things further, often leading to silos and inefficient resource use.

What is cloud-native automation and why is it important for telcos?

Automation. It’s not something most of us think about often, and that’s the whole idea. But automation plays a critical role in the IT world, especially for those who remember when software had to be updated manually. That importance takes on an added urgency when you consider next-generation telecommunications networks, as a cloud architecture brings with it layers of complexity that make automation a necessity.

The Why and What of AWS Lambda Monitoring

Serverless architectures are the rental tux of computing. If you’re using AWS to manage and scale your underlying infrastructure, you’re renting compute time or storage space. Your Lambda functions are the tie or cummerbund you purchase to customize your rental. Using the AWS event-driven architecture improves business agility, allowing you to move quickly. Lambda is the on-demand compute services that runs custom code driving an event’s response.

Troubleshooting Cloud Traffic Inefficiencies with Kentik AI

Balancing cost efficiency and high performance in cloud networks is a constant challenge, especially when misconfigurations or inefficient routing lead to inflated costs or degraded performance. Learn how Kentik Journeys simplifies traffic analysis, helping cloud engineers identify inefficiencies like unnecessary Transit Gateway routing.

State of Cloud Costs

Cloud spending continues to grow, but managing costs effectively remains a challenge for many organizations. In this video, Datadog Senior Product Manager Kayla Taylor dives into our recent State of Cloud Costs report—which analyzed AWS cloud cost data from hundreds of organizations—to understand the key factors driving cloud expenses. We explore the impact of adopting emerging compute technologies like Arm-based processors, GPUs, and AI capabilities, how usage patterns and previous-generation technologies affect cloud costs, and the role of AWS discount programs in cost management.

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.

AWS Lambda Demystified: How It Works, Pros And Cons, And Pricing

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.