As networks and systems grow ever more complex, observability is becoming increasingly essential. Cloud computing has moved network operations outside the traditional data center, and the addition of mobile networks, edge computing, and hybrid work has added to the breadth and complexity of today’s enterprises. Observability has proved to be highly effective in measuring the […]
How AI Will Fuel the Future of Observability
We’re seeing a lot of convergence in the market between observability vendors and companies positioned as artificial intelligence (AI) companies. It’s a natural marriage, since AI has the potential to significantly improve what observability does. The question is how to make the best use of AI to support observability in discovering an organization’s unknowns, providing […]
Dynatrace Adds Data Observability to Analytics and Automation Platform
According to a new press release, Dynatrace has introduced AI-powered data observability capabilities for its analytics and automation platform. Named Dynatrace Data Observability, the feature aims to enhance the reliability and accuracy of data in the Dynatrace platform for business analytics, cloud orchestration, and automation. The technology allows teams to rely on high-quality data, ensuring […]
Putting a Number on Bad Data
Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives. Data has become […]
The Rise of RAG-Based LLMs in 2024
As we step into 2024, one trend stands out prominently on the horizon: the rise of retrieval-augmented generation (RAG) models in the realm of large language models (LLMs). In the wake of challenges posed by hallucinations and training limitations, RAG-based LLMs are emerging as a promising solution that could reshape how enterprises handle data. The surge […]
Data Observability Use Cases
“Data observability” can be described as the practice of monitoring the “health and state” of data pipelines in your system. This practice encompasses some technologies and activities that enable business operators to identify, examine, and solve data-related problems in near real time. Though organizations rely heavily on accurate and reliable data to make informed decisions, […]
Understanding Data Observability Tools
Data observability tools have become increasingly important as businesses rely more and more on data-driven decision-making. These tools are used to support the data’s reliability, consistency, and accuracy throughout the business. Data observability has become necessary for developing trustworthy data and diagnosing data flow problems that interfere with the business’s objectives. Data observability tools normally […]
Telmai Unveils New Release Aimed at Facilitating Data Observability Adoption
According to a new press release, Telmai, an AI-driven data observability platform, has introduced a significant new release featuring seven pioneering features aimed at simplifying and accelerating data observability adoption within enterprises. With the growing complexity of the data landscape, Telmai’s release addresses the need for continuous, reliable data flow. This release empowers data professionals to […]
Observability Maturity Model: A Framework to Enhance Monitoring and Observability Practices
Imagine this heartfelt conversation between a cloud architect and her customer who is a DevOps engineer: Cloud architect: “How satisfied are you with the monitoring in place?” DevOps engineer: “It is all right. We just monitor our servers and their health status – nothing more.” Cloud architect: “Is that the desired state of monitoring you […]
Leveraging Data Pipelines to Meet the Needs of the Business: Why the Speed of Data Matters
Gone are the days when customers would place an order and patiently wait for hours or even days for goods to be delivered, or when letters would travel through snail mail to reach their recipients. Today, businesses and individuals expect instant access to information and swift delivery of services. The same expectation applies to data, […]