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.

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.

Organizations and their software delivery pipelines are continually exposed to growing cyberattack vectors. Coupled with the massive adoption of open source software, which now helps power nearly all of our public infrastructure and is highly prevalent in most proprietary software, businesses around the world are more vulnerable than ever. Today’s organizations need to be more vigilant in protecting their software development infrastructure and processes.

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.

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.

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.

Is the lack of cost visibility in your Kubernetes cluster driving you crazy? Do you spend hours trying to decipher your cloud provider bill in order to break down the cost per team or per service (chargeback)? Kubernetes certainly simplifies deployment, management, and scaling of applications but for cost visibility, look no further, Ocean Cost Analysis is your answer. It provides Kubernetes application level visibility to your cloud provider costs.

We are proud to announce that Anodot has been named Momentum Leader on G2’s fall grid for Cloud Cost Management Software. G2 is the largest and most trusted software marketplace. More than 60 million people annually use G2 to make smarter software decisions based on authentic peer reviews. G2 is disrupting the traditional analyst model and building trust by showcasing the authentic voice of millions of software buyers.

Whether you’re new to Kubernetes or a bona fide wizard, it may seem like getting any meaningful cost data out of it is a miracle. This is because many organizations that migrate to Kubernetes unwittingly step into the Black Box of Kubernetes Spend. In pre-Kubernetes life, teams could allocate costs by tagging resources.

Multicloud and hybrid cloud applications are deployed on multiple cloud vendor platforms, including on-premises private cloud. While these platforms offer tremendous benefits by providing a reliable and scalable platform for fuelling digital transformation, they also add significant monitoring complexity. Site reliability engineers (SRE) need multicloud monitoring visibility to: Why is this important?