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ChaosSearch

Cost of ELK

Sep 1, 2021 By ChaosSearch In ChaosSearch
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.
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Troubleshooting Cloud Services and Infrastructure with Log Analytics

Aug 26, 2021 By George Hamilton In ChaosSearch
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.
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Think you need a data lakehouse?

Aug 10, 2021 By Thomas Hazel In ChaosSearch
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.
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How to Move Kubernetes Logs to S3 with Logstash

Jul 8, 2021 By Dave Armlin In ChaosSearch
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.
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Enterprise Data Architecture: Time to Upgrade?

May 3, 2021 By Dave Armlin In ChaosSearch
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.
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6 Data Cleansing Strategies For Your Organization

Apr 15, 2021 By Dave Armlin In ChaosSearch
The success of data-driven initiatives for enterprise organizations depends largely on the quality of data available for analysis. This axiom can be summarized simply as garbage in, garbage out: low-quality data that is inaccurate, inconsistent, or incomplete often results in low-validity data analytics that can lead to poor business decision-making.
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Data Lake Challenges: Or, Why Your Data Lake Isn't Working Out [VIDEO]

Mar 29, 2021 By Thomas Hazel In ChaosSearch
Since the data lake concept emerged more than a decade ago, data lakes have been pitched as the solution to many of the woes surrounding traditional data management solutions, like databases and data warehouses. Data lakes, we have been told, are more scalable, better able to accommodate widely varying types of data, cheaper to build and so on. Much of that is true, at least theoretically.
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