In this contributed article, Mayank Mehra, head of product management at Modak, shares the importance of incorporating effective data observability practices to equip data and analytics leaders with essential insights into the health of their data stacks. Mayank also explains why this is becoming increasingly paramount, given the current trend towards modern, complex, and distributed data infrastructures.
Busting Data Observability Myths
June 7, 2023 by Leave a Comment
In this sponsored article, Rohit Choudhary, co-founder and CEO of Acceldata, breaks down four common myths and misconceptions around observability. In today’s economic climate, many companies are tightening their belts. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep customers happy. Data is every company’s most valuable asset, and data observability tools are indispensable for keeping an eye on data health and ensuring business continuity.
Why SLIs and SLOs Are Essential for Observability
May 11, 2023 by Leave a Comment
In this contributed article, Jemiah Sius, Director, Product Management, New Relic, discusses the difference between good and bad SLIs — and how that can inform creating the best SLOs to measure improvement. Establishing SLIs and SLOs will result in a simpler and more responsive observability practice, tighter alignment with the business, and a faster path to improvement. It’s simple and easy to get started, practice this on one service and see how well it works.
Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload
April 8, 2023 by Leave a Comment
Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.
Slidecast: Ashwin Rajeeva, Co-founder & CTO of Acceldata Discusses Data Observability
April 4, 2023 by Leave a Comment
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.
Acceldata and its Data Observability Platform – Solving Big Data Management Challenges
March 28, 2023 by Leave a Comment
In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.
Acceldata Expands Data Observability Platform with New Data Reliability Capabilities
March 25, 2023 by Leave a Comment
Acceldata, a market leader in data observability, announced significant enhancements to its data reliability solution, including no-code/low-code options, intelligent alerting, targeted recommendations, and self-healing capabilities to solve the most complex data reliability challenges while improving operational efficiency and reducing costs.
Data Leaders Looking to Data Observability to Overcome Data Quality, Cost and Pipeline Concerns
December 23, 2022 by Leave a Comment
Acceldata, a market leader in data observability, conducted a survey of 200 data executives and found that they have major concerns including the lack of data pipeline visibility. Below are additional highlights from the results.
How to Optimize the Modern Data Stack with Enterprise Data Observability
September 13, 2022 by Leave a Comment
In this sponsored post, our friends over at Acceldata examine how in their attempt to overcome various challenges and optimize for data success, organizations across all stages of the data journey are turning to data observability where they can get a continuous, comprehensive, and multidimensional view into all enterprise data activity. It’s a critical aspect of optimizing the modern data stack, as we’ll see.
