Operations | Monitoring | ITSM | DevOps | Cloud

Cloud

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

The Essential AzCopy Cheat Sheet

AzCopy is a command-line utility designed for copying data to and from Microsoft Azure Blob and File storage. It allows for efficient data transfer, ensuring the integrity of the files and offering a seamless process. In a world where data is considered a valuable asset, AzCopy stands out as a vital tool for data administrators, developers, and Azure users.

How to monitor Azure App Registration Client Secret Expiration Notification?

Security remains a paramount concern in the rapidly evolving landscape of cloud computing. Azure Active Directory (Azure AD) is a cornerstone for securing applications and services within the Azure ecosystem. Azure App Registrations offer a crucial mechanism to manage application identities and enable secure authentication and authorization. However, the expiration of client secrets associated with these app registrations can introduce security vulnerabilities.

Debuggers Guide to the Galaxy - Promo Video

Grab your digital towel and embark on an intergalactic coding adventure with 'The Debuggers Guide to the Galaxy,' hosted by the serverless sage Yan Cui and the code-wielding DeveloperSteve. In a universe where devops are as perplexing as Vogon poetry and deployment seems guided by Infinite Improbability Drives, our hosts will guide you through the cosmic chaos. With introductions that defy normal spacetime and a dart container debugging session (using dartfrog) that's almost, but not quite, entirely out of this world.

AzCopy and Azure File Sync: How They Work Together

In the ever-expanding landscape of Azure data management, two powerful tools emerge as essential assets for tech professionals: AzCopy and Azure File Sync. While each has its unique capabilities, together they create an intricate symphony that enhances data transfer and synchronization within Azure. In this comprehensive guide, we’ll unravel the functionalities of both, explore their common use cases, delve into their integration processes, and weigh their benefits and drawbacks.

How to optimize your high-performance computing workloads

One contributor to successful research is the ability to process and analyze enormous amounts of data. The speed of accessing information and performing computations is crucial to research institutions and organizations looking to innovate and lead in their domain. Yet to process and analyze all that data, researchers need high-performance computing resources that can handle these workloads.

AWS Data Centers Today: 100+ Locations, 1.5 Million Servers, and More

In 2006, Amazon Web Services (AWS) pioneered cloud computing as we know it today. And 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 out to other companies as needed, over the Internet.

Troubleshooting Cloud Application Performance: A Guide to Effective Cloud Monitoring

The scalability, flexibility, and cost-effectiveness of cloud-based applications are well known, but they’re not immune to performance issues. We’ve got some of the best practices for ensuring effective application performance in the cloud.

Deliver exceptional digital experiences with Cisco Cloud Native Application Observability

From the application layer down to your Kubernetes® infrastructure, Cisco Cloud Native Application Observability delivers cross-domain visibility with correlated MELT data and AI/ML-driven insights to simplify the complexity of observing the performance of modern applications, multi-cloud Kubernetes, and hybrid cloud infrastructure.

10 Crucial Engineering Metrics Must Follow In 2023

In software engineering, measuring your performance gives you the knowledge you need to make informed decisions regarding your products, features, processes, and even your dev teams. Measuring also tells you if you’re on track to meet your engineering goals. Yet, with an abundance of tasks, data, and other information to keep track of, how do you decide on the right metrics to monitor?