The ever-increasing influx of data from diverse sources has become a significant challenge for organizations and their data engineers to continuously manage using incumbent, outdated tool stack that ...

Cloud-native technologies have taken centre stage ever since they were introduced. They have reshaped the landscape of application development, delivery, and operations, creating a new competitive ...

The observability platform becomes your system of record for long-term analysis and training AI models. The pipeline becomes your system of action, where real-time intelligence prevents incidents and ...

Because building reliable data pipelines is hard, and the first step to becoming a data-driven organization is trusting your data. It’s 8 a.m., and a business leader is looking at a financial ...

Amidst ongoing challenges, a competitive landscape and rising customer expectations, it's become critical for tech companies to constantly evolve. As applications or systems continue to grow, so does ...

My first blog post in 2005 was about application logging, and I shared 10 practices I hoped my development team would follow. Today’s devops implementations around observability are more sophisticated ...

Enterprise observability has shifted from experimental tooling to critical infrastructure, with 60% of organizations now at mature levels. But cost surprises, business expectations and gaps in ...

Data is becoming increasingly important to companies as it offers several operational, security, compliance and productivity benefits. Organizations that want to get the maximum value from data must ...

Observability by definition is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In other words, a system’s behavior is determined from its ...

ROUND ROCK, Texas, May 12, 2025 /CNW/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data quality ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

Analysis of ten technologies across connectivity, compute, security, and sustainability, with implementation timelines ...