Operations | Monitoring | ITSM | DevOps | Cloud

As businesses generate, capture, and seek to analyze more data than ever before, they often find themselves limited by high data storage costs, expensive data processing fees, and high management overhead. For organizations who wish to expand their log analytics programs and become more data-driven, maximizing cost efficiency has become a critical operational objective.

Jimi Hendrix was an innovator who pushed musical boundaries by employing leading-edge technologies as fast as they were invented. The new guitar effects he adopted in the late 1960’s included fuzz, Octavia, wah, and Uni-Vibe pedals. Jimi would gobble up these guitar pedals and incorporate them into his sound to create wildly creative sonic experiences.

If you work in IT or DevOps, unless you’ve been living on a remote island without Internet access, you’ve likely heard of Datadog, a popular platform for monitoring cloud applications. Datadog collects and interprets data from various IT resources. The resulting insights assist in managing performance and reliability challenges to deliver a better end-user experience.

Learn how to reduce your latency and get better network performance from the popular cloud service provider.

A legacy way to deploy applications and desktops on Azure was often to put some Server 2022 VMs (Virtual Machines) in Azure running the standard RDS (Remote Desktop Services) roles – session hosts, brokers, gateway etc. and then pay the compute costs for your session hosts, brokers, and gateways, set up a public IP address and open ports.

In this blog post, I will show you how easy it is to move a single Azure Blob or even select mutlipe or the complete container and move those blobs from any storage tiering to another with just a few clicks. There are cost benefits moving your Azure Blobs down to a lower Storage Tier, Hot being the most expensive, with a cool a little bit cheaper, and the Archive Blob Tier having the lowest cost option. For most Azure Storage Cost saving ideas, we cover some in another blog.

By 2025, it's expected that the amount of data produced per day will be 463 exabytes. 1 exabyte is 1 million terabytes or 1 billion gigabytes—that's a lot of data! Safely storing data ensures that all the knowledge you gather over the years is retained and maintained. Proper storage is super vital for all individuals, businesses, and other organizations. There are many ways to store data, from old-fashioned paper records to modern digital methods.