Systems | Development | Analytics | API | Testing

AI-Driven Observability for Snowflake

Performance. Reliability. Cost-effectiveness. Unravel is a data observability platform that provides cost intelligence, warehouse optimization, query optimization, and automated alerting and actions for high-volume users of the Snowflake Data Cloud. Unravel leverages AI and automation to deliver realtime, user-level and query-level cost reporting, code-level optimization recommendations, and automated spend controls to empower and unify DataOps and FinOps teams.

Beyond Monitoring: Introducing Cloudera Observability

Increased costs and wasted resources are on the rise as software systems have moved from monolithic applications to distributed, service-oriented architectures. As a result, over the past few years, interest in observability has seen a marked rise. Observability, borrowed from its control theory context, has found a real sweet spot for organizations looking to answer the question “why,” that monitoring alone is unable to answer.

What is an Internal Developer Platform (IDP) and Why It Matters

In today's evolving technological landscape, enterprises are under increasing pressure to deliver high-quality software at an accelerated pace. Internal Developer Platforms (IDPs) provide a centralized developer portal that empowers developers with self-service capabilities, standardized development environments, and automation tools to accelerate the software development lifecycle.

Announcing enhanced data observability with Data Console

During QlikWorld ’23 in Las Vegas, we were thrilled to announce the general availability of Data Console in Talend Data Inventory. With data-driven decision making becoming more crucial for organizations, it’s never been more important for users to have access to high quality data.

The role of data observability for enterprise data integrity

Data observability is a critical aspect of any data-driven business. It refers to the ability to monitor, understand, and troubleshoot data quality issues in real-time. In essence, data observability ensures that data is accurate, reliable, and accessible. It involves collecting and analyzing data from various sources to gain insight into how data is being used, how it is flowing through the system, and whether it is meeting the required quality standards.

Microservice Observability with Kong Mesh

Microservice Observability with Kong Mesh Brought to you by @KongInc Senior Solutions Engineer Ahmed Koshok. In this video, Ahmed Koshok demonstrates how Kong Mesh enables you to monitor and troubleshoot your microservices in real-time. Kong Mesh is a service mesh built on top of the Envoy proxy that provides advanced observability features for microservices. With Kong Mesh, you can collect telemetry data, trace requests across multiple services, and visualize service dependencies.

Extending SmartBear's Modern Developer Focused Observability Capabilities

Today, we are very excited to announce the acquisition of Aspecto, an OpenTelemetry (OTel) pioneer whose capabilities will further extend SmartBear’s modern, developer-focused observability capabilities. Aspecto’s solution discovers modern microservice based architectures and visualizes all the real-time interactions between services and APIs through advanced distributed tracing capabilities.

What Is the Difference Between Observability and Monitoring?

The practice of DevOps — development operations — has taken organizations by storm. According to a 2021 report by Redgate Software, 74 percent of enterprises surveyed say they now use DevOps in some form or fashion, compared with just 47 percent in 2016. DevOps practitioners seek to improve the software development lifecycle by fostering closer collaboration between developers and IT operations teams.