As organizations adopt cloud technologies and modernize their applications, the data they generate and ingest often grows exponentially, leaving them with difficult choices for storing and using this data. Customers are beginning to explore moving away from traditional relational database management systems (RDBMS) because of the data volume to be ingested, as these RDBMS often cannot handle workloads.

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.

Cloud computing has become a mainstream technology, and it's now easier to get started with the cloud than ever before. However, while the benefits of the cloud are undeniable, there are still challenges that you will have to face when using cloud services. One of these challenges is how difficult it can be to monitor an app or infrastructure. Cloud computing is a complex environment, so monitoring everything in it is challenging.

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.

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.