Becoming an expert in any query language can take years of dedicated study and practice. At Coralogix, however, we believe observability should be accessible to everyone. That’s why we’re thrilled to announce the launch of our latest innovation (and your new sidekick): the AI Query Assistant. The AI Query Assistant revolutionizes the way you interact with your data.

Datadog’s pricing model is multifaceted, covering several key areas of observability. This analysis breaks down the pricing structure to help you understand potential costs for your organization. In this article we cover.

Metrics are key to monitoring system health and performance but you probably are ingesting far more metrics than you will ever need or use. The issue is that popular tools in this space, such as OpenTelemetry and Prometheus, leverage node exporters to emit a plethora of metrics. OpenTelemetry tracks even the minutest details of system performance. Prometheus exporters can generate a vast array of metrics, ranging from CPU usage to disk I/O, and everything in between.

Every day, employees and leaders of enterprise IT organizations make multiple decisions that affect their company’s success or failure. To stay ahead of the competition and drive innovation, an increasing number of organizations are turning to decision intelligence (DI), a relatively new field combining data science, decision theory and artificial intelligence, to augment and improve decision-making.

Human attention spans are seemingly shorter than ever, and your mobile application users are, unfortunately, no exception. Over 70% of users abandon an app if it’s taking too long, with half of these users waiting no more than three seconds. Even minor delays or errors can lead to significant user drop-off, negatively impacting your app’s success and user satisfaction.

Observability costs are exploding as businesses strive to deliver maximum customer satisfaction with high performance and 24/7 availability. Global annual spending on observability in 2024 is well over 2.4 billion USD and is expected to reach 4.1 billion USD by 2028. On an individual company basis, this is reflected by observability costs ranging from 10-30% of overall infrastructure spend. These costs will undoubtedly rise with digital environments expanding and becoming ever more complex.

Coralogix continues to invest in and develop solutions to address modern business challenges. One such example of modern business challenges is the field of observability with data complexity and volume increasing all the time. Observability solutions play a key role in digital transformation and operational excellence, helping companies aggregate a growing amount of data, effectively analyze it, and initiate the needed actions to maintain optimal performance and uptime.

So, your company uses LLMs? You’re not the only ones. A survey by Gartner in October 2023 revealed that 55% of organizations were piloting or releasing generative AI projects, and it’s safe to assume that this number has increased since that survey was published. From personalized recommendations in e-commerce, to automated grading in education and fraud detection in finance, LLMs have helped many organizations level up.

Application performance monitoring (APM) setup and strategies vary based on the application’s infrastructure design. Containers managed by orchestration tools like Docker Swarm or Kubernetes are dynamic and ephemeral, significantly affecting monitoring strategies. Container development speeds up an organization’s ability to build, deploy and scale new features.

There are many solutions on the market that are promising insight into the four key metrics. Alas, these solutions often come with a significant price tag. Coralogix doesn’t charge per feature, per user, per host or per query. We charge by GB. And that, coupled with some incredible analytics and indexless observability, makes for some incredible insights that cost almost nothing.