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New Report Shares Best Practices for Modern Enterprise Data Management in Multi-Cloud World

A new report from Raconteur highlights the most important trends shaping the future of enterprise data management in 2021. The Raconteur Future of Data Report is packed with valuable insights that reveal how the world’s leading businesses are generating and collecting more data than ever before, and how they’re innovating to make better use of it.

Unlocking Data Literacy Part 1: How to Set Up a Data Analytics Practice That Works for Your People

Does your team know how to use data analytics to their advantage? For the vast majority of companies, the answer may be “no.” According to Accenture, only 21% of people are confident in their data literacy skills, and just 32% of companies have realized tangible, measurable value from their data. While the definition of data literacy varies depending on who you ask, at its core, the term means equipping anyone in your organization to know how to use data in a business context.

Cost of ELK

Do you know how much your ELK stack costs? Managing and analyzing your data is a critical part of your business. However, the true cost of an ELK stack can be hard to calculate, and the truth is you may be spending a lot more than you think. Elasticsearch wasn't designed to work efficienctly at the scale required by today's data volume, especially the growth of log data. As your data grows, your ELK stack becomes more expensive to scale and maintain, leaving you with the headache and the tab. Well, ChaosSearch has the answer.

Troubleshooting Cloud Services and Infrastructure with Log Analytics

Troubleshooting cloud services and infrastructure is an ongoing challenge for organizations of all sizes. As organizations adopt more cloud services and their cloud environments grow more complex, they naturally produce more telemetry data – including application, system and security logs that document all types of events. All cloud services and infrastructure components generate their own, distinct logs.

Think you need a data lakehouse?

In our Data Lake vs Data Warehouse blog, we explored the differences between two of the leading data management solutions for enterprises over the last decade. We highlighted the key capabilities of data lakes and data warehouses with real examples of enterprises using both solutions to support data analytics use cases in their daily operations.

How to Move Kubernetes Logs to S3 with Logstash

Sometimes, the data you want to analyze lives in AWS S3 buckets by default. If that’s the case for the data you need to work with, good on you: You can easily ingest it into an analytics tool that integrates with S3. But what if you have a data source — such as logs generated by applications running in a Kubernetes cluster — that isn’t stored natively in S3? Can you manage and analyze that data in a cost-efficient, scalable way? The answer is yes, you can.

Enterprise Data Architecture: Time to Upgrade?

ChaosSearch is participating in the upcoming Gartner Data & Analytics Summit (May 4-6), a virtual conference for professionals and executive leaders in Data & Analytics (D&A). The summit will feature expert talks from Gartner analysts, engaging workshops, and the opportunity to participate in roundtable discussions with D&A professionals and executive leaders. This blog post was inspired by the tagline of this year’s Gartner Data & Analytics Summit: Learn, Unlearn, Relearn.