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.

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.

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.

Business leaders frequently need to make decisions that could impact the entire future of a company. Armed with pages of data and financial reports, many executives choose to slash costs, double efforts on certain products over others, or otherwise forge ahead with major decisions about cloud usage, spending, and overall business strategy. Great choices could mean huge profits, but unwise choices could spell doom for the business as a whole.

Although there are many great tools out there to get on top of application monitoring, there’s one vital metric that’s often overlooked by us technical folks – cost. In the days of running apps on servers in private datacenters, the kit was a one-time purchase that the systems team had to deal with. But running apps in public clouds is a different story. Whether you’re running on VMs, containers in Kubernetes, or entirely serverless, execution of your code adds to the bill.

Bill shock stemming from surprisingly high cloud bills remains a persistent concern for enterprises that have migrated to the cloud. Cloud service providers often market the cloud as a highly effective means to lower operational costs. By moving their applications and processes to cloud-hosted infrastructures, organizations are saving money that would have gone to datacenters, hardware, and personnel.

Cloud cost intelligence is a game-changing way to understand where your money is going and what that means for your business. Any company with a cloud services bill can benefit from a cloud cost intelligence strategy that outlines which spending decisions are beneficial and which should be scrapped in favor of something else. But let’s say you have done your background research and you understand what cloud cost intelligence is and why it matters. Where do you go from there?

Accurate, fair budgets make everyone in the company happy. Engineers love when they can build products that make the company money, executives enjoy seeing nice, wide margins, and finance departments celebrate when everything goes according to plan. But keeping the budget for cloud computing reasonable can seem like a lofty goal when your company’s cloud spending seems to change with the direction of the wind.

You are using Qovery, and you love the product, but what about saving some money on your cloud bills on top? Today, we are making your dreams come true with a brand new partnership with Usage AI, and today, I will explain everything you need to know about it.