In an era where data is a strategic asset, organizations often falter not because they lack data—but because their ...

Today, Riverbed announced new AI-driven intelligent network observability solutions featuring next-generation xx90 hardware ...

Data observability is a set of practices and tools that monitor, measure and analyze the health of data as it moves through systems. By tracking attributes such as freshness, quality and lineage ...

(* Disclosure below.) Observability solves security and specialized data service needs Bolstered by last year’s $200M+ funding round, Cribl is poised to grow its operation.

Performance Improvements: Data infrastructure observability tools can identify long-running queries, bottlenecks, and performance improvement opportunities by analyzing data workloads. They offer ...

For example, Telmai helps Clearbit deliver accurate data to its customers, managing the data quality and freshness of 50M company records, 389M contact records, and 4.5B IP addresses from over 250 ...

With its observability architecture, Cribl is part of this drive, and data as code is an important component. “It’s so easy to be confused.

You see the trends in your customers. It’s a gold mine of data for the entire organization.” Dig deeper: Read the 2022 State of Observability and Log Management report here.

These are all different types of time-series data and can help improve your system’s observability. Using a time-series database, like InfluxDB, makes it easier to work with and effectively use ...

Data quality management should be considered in relation to the goals and overall strategy of an organization, its management, culture, business processes, and technical architecture. That’s why it is ...

Data observability startup Acceldata today announced that it raised $10 million in an extension to its Series C round, bringing its total raised to over $100 million.