ChaosSearch

Boston, MA, USA
2017
Jan 13, 2022   |  By Dave Armlin
Ringing in the new year with new goals for data literacy? The right data management strategy can help democratize access to analytics across your entire team, without the need for a data scientist or data engineer to act as an intermediary or bottleneck. As you examine your people’s data skills and related data literacy training processes, it might be time to consider a new approach to data analytics technology that facilitates data democratization in 2022. That’s right, your platform.
Jan 6, 2022   |  By Rich Pappas
In 2021, many organizations on a digital transformation journey sought cloud-native data management and analytics solutions that could facilitate search and analytics on their data in the cloud. Many of them are already running on the AWS cloud, so naturally, they turned to the AWS Partner Network to find technologies that could easily plug into their cloud stack, solve tactical pains, and deliver value quickly.
Jan 1, 2022   |  By George Hamilton
ChaosSearch has experienced tremendous growth as evidenced by being named one of DBTA’s Trend-setting products for 2022 and one of three vendors chosen by Solutions Review as a Data Science and Machine Learning Vendor to Watch, 2022. Our early success has been driven by customers using our real-time data analytic service for log analytics at scale. ChaosSearch is a perfect Elastic Stack (i.e.
Dec 23, 2021   |  By Dave Armlin
If you’re using Elasticsearch as part of an ELK stack solution for log analytics, you’ll need to manage the size of your indexed log data to achieve the best performance. Elasticsearch indices have no limit to their size, but a larger index takes longer to query and is more costly to store. Performance degradation is often observed with large Elastic indices and queries on large indices can even crash Elasticsearch when they use up all of the available heap memory on the node.
Dec 16, 2021   |  By Dave Armlin
As we head into the holidays, there’s no better time to talk about bringing people together. And there’s no better way to bring employees together within a company aspiring to be data-driven than with a data literacy program. What data analytics processes should your organization put into place to increase data literacy? It all starts with establishing a training program to empower your people to work with data, regardless of their level of expertise.
Dec 9, 2021   |  By Courtney Pallotta
Last week, our friends at Amazon hosted the 10th annual AWS re:Invent conference at the always-exciting Venetian Resort in Las Vegas. The ChaosSearch team was out in full post-Covid force and felt the incredible energy and enthusiasm as the conference returned to an in-person format for the first time since 2019.
Dec 7, 2021   |  By Courtney Pallotta
Wondering whether your struggles with the data lake, cloud data platform, or analytics at large are typical? Are you ahead or behind the curve? ChaosSearch recently commissioned a survey to understand the advantages and setbacks organizations face today in these areas, and we’re excited to share a sneak peek of the results. To uncover more detailed findings from our research, sign up to receive the full report once it’s available here.
Nov 30, 2021   |  By George Hamilton
JSON has become the de facto standard format for capturing and storing log data - and for good reason. Structured logging with JSON reduces the cost and complexity of extracting valuable insights from log data. While plain text logs can support use cases like application performance monitoring and security analysis, writing logs in an unstructured format makes it time-consuming and costly for data engineers to parse, index, and analyze those logs.
Nov 11, 2021   |  By Thomas Hazel
What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization?
Nov 4, 2021   |  By Karina Babcock
This week we released a new case study that describes how the world-leading education technology provider Blackboard empowered digital learning throughout COVID, and in particular, the role log analytics played. Committed to supporting learners throughout their lifelong journey, Blackboard Inc. serves higher education, K-12, business and government clients around the world with learning management systems (LMS) and other digital education products.
Dec 16, 2021   |  By ChaosSearch
Mark Hill, Director of IT Operations at Digital River joins SiliconANGLE's Dave Vellante for a discussion around their modern, cloud-native approach to analytics at scale, including their strategic partnerships with both AWS and ChaosSearch.
Nov 16, 2021   |  By ChaosSearch
Transeo is a mobile-friendly platform enabling students, counselors, and administrators to share community service opportunities and hours served — online and in real-time. With one goal in mind, eliminate time-consuming administrative overhead and shift the focus from paperwork to people, Transeo turned to ChaosSearch to help them bring order to the massive quantity of disparate, log data output.
Sep 1, 2021   |  By 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.
Aug 23, 2021   |  By ChaosSearch
Turn your data swamp into a true data lake!
Aug 23, 2021   |  By ChaosSearch
Check out this 5 min overview of ChaosSearch
Mar 4, 2021   |  By ChaosSearch
Ed Walsh, CEO of ChaosSearch, gives a 3 minute overview of the power of ChaosSearch.
Jul 16, 2020   |  By ChaosSearch
On this installment of our series of live demos we discuss Cloudflare log analysis.
Jul 16, 2020   |  By ChaosSearch
On this installment of our series of live demos we discuss Kubernetes log analysis.
Feb 20, 2020   |  By ChaosSearch
How to make refining data as affordable as generating it.
Feb 20, 2020   |  By ChaosSearch
CHAOSSEARCH is a fully managed Log Analysis SaaS solution built on our innovative architecture and revolutionary, patent-pending index technology. Our solution delivers log analysis at cloud-scale and eliminates data movement - the first SaaS solution to provide infinite data storage by accessing your data in your Amazon S3.

ChaosSearch makes it simple for organizations to run cloud-scale log analytics in their own Amazon S3 cloud storage. It uniquely transforms your cheap, secure, and durable cloud object storage into a distributed analytic data lake where scale is infinite, cost is disruptive, and access is universal.

Traditional log analytics weren’t designed for today’s tsunamis of log data. They require brute force (adding more and more compute) to search and analyze huge stores of logs. This means businesses must continually choose between spending more money or reducing data retention.

ChaosSearch’s SaaS data platform was built for a data-entrenched world. It’s based on the company’s patent-pending index technology and architecture that remove the limits, cost, and complexity inherent in conventional solutions.

  • Performance at Scale: Easily scales to petabytes and beyond so you can analyze what you need, whenever you need.
  • Fully Managed Service: There’s no software or hardware for you to deploy, configure or maintain.
  • All on Your Amazon S3: ChaosSearch stores and analyzes data directly in your own Amazon S3 cloud object storage. It does not hold or store any data.
  • Disruptive Pricing: Costs up to 80% less than other solutions, thanks to Chaos Index’s unique properties that eliminate the need to manually shard data and enable unparalleled compression ratios.