Systems | Development | Analytics | API | Testing

Observability

Accelerate BigQuery: Optimize performance with data observability

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? Their skilled engineers spend too much time doing toilsome work and optimizing data workloads for performance and efficiency is complicated. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity and performance with BigQuery. Watch this 15 minute recording about accelerating data analytics with BigQuery with Clinton Ford, VP of Product Marketing at Unravel and Dave Berry, Principal Solutions Engineer at Unravel.

Snowflake Invests in Observe to Expand Observability in the Data Cloud

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.

Achieve faster time to value with data observability and FinOps for BigQuery

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel is hosting a virtual event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with BigQuery.

Moesif <> Zuplo: API Observability and Monetization At The Edge

When it comes to supporting the latest tech, here at Moesif, we always aim to integrate with partners that offer something new and exciting. In the API gateway space, Zuplo has been quickly changing the game regarding platforms focused on developers and performance. Similar to the work we’ve focused on for the last few years, Zuplo customers have also been focused on understanding their APIs better and learning how to monetize them efficiently.

8 Best Data Observability Tools to Control Data Pipelines (2023 Guide)

Struggling to keep up with your organization’s hunger for data? That’s an obstacle that many data teams face when their data stack grows and they don’t have complete control over their complex data pipelines. If that’s a challenge you’re looking to solve, you’re in the right place. Below, we’ve curated our list of the best data observability tools every data team should know about.

Kensu + Azure Data Factory: A Technical Deep Dive

With 38% of data teams spending between 20% and 40% of their time fixing data pipelines¹, delivering reliable data to end users can be an expensive activity for data teams. With Kensu’s latest integration with Azure Data Factory, ADF users now benefit from the ability to observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and data quality metrics.

Kensu extends Data Observability support for Microsoft users with its Azure Data Factory integration

Kensu announces an integration with Azure Data Factory, the serverless data integration service. With this integration, teams can observe data within their Azure Data Factory pipelines and receive valuable insights into data lineage, schema changes, and performance metrics. As one of the few Data Observability providers available to support customers on-premise, multi-cloud, or hybrid environments, Kensu is broadening access to Data Observability for Microsoft users.