Operations | Monitoring | ITSM | DevOps | Cloud

There’s an increasingly high cost to poor data quality today. Poor customer data costs companies six percent of their total sales, as per a UK Royal Mail study. And, as per IBM, bad data costs U.S. businesses $3.1 trillion per year. As companies transform into data-driven businesses, we witness a sharp interest in data observability.

In modern business environments, where everything is fast-paced and data-centric, companies need to be able to track and analyze data quickly and efficiently to stay competitive. Metrics play a crucial role in this, providing valuable insights into product performance, user behavior, and system health. By tracking metrics, companies can make data-driven decisions to improve their product and grow their business.

In the previous blog in our root cause analysis with logs series, we explored how to analyze logs in Elastic Observability with Elastic’s anomaly detection and log categorization capabilities. Elastic’s platform enables you to get started on machine learning (ML) quickly. You don’t need to have a data science team or design a system architecture. Additionally, there’s no need to move data to a third-party framework for model training.

As the complexity of modern applications continues to increase, so too does the demand for comprehensive observability solutions. Organizations looking to enhance their applications’ performance, reliability, and scalability need powerful tools that allow them to monitor, analyze, and visualize their infrastructure. One such tool is InfluxDB 3.0, a time series database designed to handle large-scale monitoring and analytics workloads.

As a Grafanista, you tend to find things to visualize — databases, microservices, classic video games, etc. It’s part of our “big tent” philosophy. So when our December hackathon rolled around, some of us in our internal homelab Slack channel decided to take a look at how we could get metrics out of our Plex Media Servers.

The modern business heavily depends on an active online presence for customer engagement and revenue generation. But have you ever stopped to think about what makes these online services accessible to users around the world? Enter the Domain Name System (DNS), a crucial component of the internet infrastructure that translates domain names into IP addresses and directs traffic to the appropriate server.

If you're a software engineer working with Kubernetes, you know how vital it is to have accurate, real-time information about your applications and resources. With StackState's dynamic Kubernetes observability dashboards, you can now access all the essential data you need for troubleshooting on a single screen. In this blog post, we'll discuss the key features of these dashboards, why they're valuable and how to get started with them.

Technology drives so many aspects of our lives in today’s fast paced world. Keeping up with how technology helps us in our work and personal lives is challenging and it's sometimes unclear as to how to go about learning new technology skills to drive business resilience across an organization.

In the modern business landscape, the recent surge in cloud computing has become a game-changer, fundamentally altering how organizations manage their IT infrastructure. As businesses increasingly embrace digital transformation, migrating services and applications to the cloud has emerged as a crucial factor in guaranteeing scalability, flexibility, and cost efficiency.