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Observability

Kensu launches support for Unity Catalog bringing immediate data observability to thousands of Databricks users

Kensu announces support for Databricks Unity Catalog, the unified governance solution for data, analytics, and AI. Kensu's data observability capacities enable seamless tracking of all internal and external data sources' metadata and generating metrics to automate their monitoring, drastically improving visibility and time to resolution.

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.

Episode 1: The Fourth Pillar of Observability (SD Times Microwebinars)

Why should SREs get all the fun? Everyone knows logging sucks and so SREs created two new pillars: metrics and traces to make their jobs easier. Well, logging sucks for developers too and they deserve - and need - better Observability. That’s where the fourth pillar of Observability comes in: Snapshots.

Without data quality, your data initiatives will fail.

Chad Sanderson is passionate about data quality, and fixing the muddy relationship between data producers and consumers. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. Without data quality, your data initiatives will fail. Despite that, data teams still struggle to gain buy-in on quality initiatives from executive teams. Here's why: 1.

The Fourth Pillar of Observability: Your Developers' Must-Have Observability Tool

A paradigm shift is overdue in the realm of software observability. While Site Reliability Engineers (SREs) have been having fun with metrics, traces, and logs, software developers have been left in the lurch, shackled to the conventional, low-fidelity tool of logs. Why should SREs have all the fun, right? Welcome to the dawn of a new era. An era where developers, too, can enjoy superior observability engineering. That’s where the fourth pillar of observability comes in: Snapshots.

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.

The value of data observability to the data engineer

Since leaving university, I have always been involved with data, learning so much during my time as an automation engineer and big data engineer working for an automotive tier 1 manufacturing company and as a data architect for an IT consultancy in the SAP and BI domain. And today, I count myself very fortunate to have a job at Kensu that I am truly passionate about. As a Technical Solution Architect, I get to help organizations with data health and data engineering problems on a daily basis!

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.

Observability and Ownership: The Path To Faster Issue Resolution

As digital transformation and the consequent move towards cloud-native continues to accelerate, and customer demands increase, traditional approaches to debugging and troubleshooting are limited and insufficient. Developers must quickly understand the relationships between user sessions, topology, and end-to-end transactions during incidents.