Modern Observability:  When “Small” Data Beats Big Data

In this contributed article, Ozan Unlu, CEO and Founder of Edge Delta, explores how a cloud-first world demands that observability be approached in a different way, one that favors “small data” over “Big Data.” In some cases, Ozan believes, a central repository is no longer even needed.

Why SLIs and SLOs Are Essential for Observability

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

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

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.

Video Highlights: Why Does Observability Matter?

Why does observability matter? Isn’t observability just a fancier word for monitoring? Observability has become a buzz word in the big data space. It’s thrown around so often, it can be easy to forget what it even really means. In this video presentation, our friends over at Pepperdata provide some important insights into this this technology that’s growing in popularity.

How to Optimize the Modern Data Stack with Enterprise Data Observability

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. 

Data Quality Should Keep You Up at Night (But There’s an Antidote to Data-Induced Insomnia)

In this sponsored post, our friends over at Acceldata examine how integrating data observability into your business operations will create the necessary environment and feedback loop needed to improve data quality, at scale, on an ongoing basis. It will also help your enterprise make the most out of all the data quality best practices your data team adopts, and will also probably enable you to get a peaceful night’s sleep.

What Is Data Reliability Engineering?

In this contributed article, Kyle Kirwan, CEO and co-founder of Bigeye, discusses Data Reliability Engineering (DRE), the work done to keep data pipelines delivering fresh and high-quality input data to the users and applications that depend on them. The goal of DRE is to allow for iteration on data infrastructure, the logical data model, etc. as quickly as possible, while—and this is the key part! —still guaranteeing that the data is usable for the applications that depend on it.

Looking Ahead | Observability Data Management Modernization

In this contributed article, Karen Pieper, VP of engineering at Era Software, discusses how organizations today use real-time data streams to keep up with evolving business requirements. Setting up data pipelines is easy. Handling the errors at each stage of the pipeline and not losing data is hard.

Enterprise Strategy Group (ESG) Cloud Observability Survey, Sponsored by Yotascale, Reveals Enterprises are Challenged to Keep Track of Cloud Costs and Need Better Visibility into Cloud Spend

Yotascale, a leader in dynamic cloud cost management, announced the results of an ESG Observability Survey it sponsored to survey IT, DevOps, and AppDev professionals responsible for evaluating, purchasing, managing, and building application infrastructure. Out of 357 professionals, 64% agree that the adoption of public cloud or multiple public cloud providers has made observability significantly more difficult; this increases to 74% for the technology industry. The survey results highlight a strong need to gain better visibility into cloud costs while reducing the burden to the affected DevOps / IT teams that are responsible for those costs.