Things are changing. Technology differences between serverless and container-based systems are rapidly blurring. In 2020, Amazon Web Services (AWS) enabled AWS Lambda to package and deploy functions as container images, instead of bundling all of a function’s code and dependencies in a.zip file. Today, more organizations are increasingly deploying Lambda functions as Docker container images. These companies want to reap the benefits of serverless computing, containers, and container orchestration.

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.

The Amazon Relational Database Service (RDS) enables Amazon Web Services (AWS) customers to manage, operate, and scale their databases. A managed service, RDS provides seven database engines and multiple instance sizes and types for working with relational databases. AWS also claims RDS can match the performance, scalability, and availability of commercial databases for a tenth of the price. Is this true, and how much does Amazon RDS cost really? This guide explains how Amazon RDS pricing works.

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.

The Amazon Redshift data cloud provides a fast, secure, and widely accessible data warehouse solution. It is an ideal platform for performing complex analytics and processing large data sets. In addition to supporting multi-parallel processing (MPP), Redshift is also a type of Online Analytical Processing (OLAP) database. Yet, one of Redshift’s main selling points is its cost-effectiveness over alternatives like Snowflake and BigQuery. Is this the case? What is the actual cost of Amazon Redshift?

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?

Although reducing costs is one of the benefits organizations seek in deploying Kubernetes in the cloud, many organizations find it difficult or impossible to monitor and control their costs. The problem typically stems from a lack of visibility. For example, 53% of respondents in the Anodot State of Cloud Cost Report 202 2 said their biggest challenge to controlling costs is gaining visibility into their cloud usage and associated costs.