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Nov 23, 2022   |  By Dave Armlin
As you adopt modern, serverless, microservices-based architectures, it can become more challenging to monitor and understand the state of your applications at any given time. That’s where event bus capabilities from services like Amazon EventBridge can come in handy. AWS EventBridge can help you build loosely coupled, event-driven architectures and applications, and deploy new features faster.
Nov 15, 2022   |  By Delaney Curtin
Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them. In this episode, David Noblet, Co-Founder + Chief Architect at ChaosSearch, shares how he and his team find innovative ways to improve digital services for their clients by constantly taking inspiration from their daily lives.
Nov 10, 2022   |  By Sandro Lima
The market for enterprise observability solutions is growing in 2022, as organizations search for more effective ways to maintain security and oversight of increasingly complex and distributed IT systems. Traditional observability solutions like Splunk, Datadog and New Relic are still widely used by enterprises to analyze logs, metrics, and traces from their IT environments. But as enterprises generate increasing volumes of log data, two things tend to happen.
Nov 8, 2022   |  By Rich Pappas
Every client we meet has been using multiple tools to satisfy their observability needs. We rarely find a greenfield opportunity. As their journey progresses, they have pointed out when the time is right to add ChaosSearch into the fold. There isn’t just one symptom; it’s usually a combination of things, including high log data volume, unpredictable costs, and ineffective results, to name a few. By the time we talk to clients in this state, the pain and frustration are incredibly high.
Nov 3, 2022   |  By Barbara O'Toole
If your IT department is generating a tsunami of JSON-based log and event data, ChaosSearch® JSON Flex® can fast-track automatic, flexible indexing for custom insights of your valuable business data. JavaScript Object Notation (JSON) has become the de facto standard for log and event data created by business applications and services. The easy-to-read, semi-structured format can hold a wealth of information and statistics.
Oct 27, 2022   |  By Sandro Lima
Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system’s state. DevOps teams leverage observability to debug their applications, or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces.
Oct 13, 2022   |  By Sandro Lima
As businesses generate, capture, and seek to analyze more data than ever before, they often find themselves limited by high data storage costs, expensive data processing fees, and high management overhead. For organizations who wish to expand their log analytics programs and become more data-driven, maximizing cost efficiency has become a critical operational objective.
Oct 6, 2022   |  By Greg Goldsmith
In my last blog post, Building a Cost-Effective Full Observability Solution Around Open APIs and CNCF Projects, we introduced using ChaosSearch in combination with the most popular open source front- and back-ends in the application observability space. In case you missed it, the TL;DR version is that you can use a variety of open source projects and open API-based components to build the best-of-breed observability stack of your choice rather than relying on expensive, all-in-one solutions.
Sep 29, 2022   |  By Courtney Pallotta
As high-scale Financial Technology (FinTech) companies build on their data-driven capabilities and establish product-market fit, they often experience rapid growth that creates challenges for IT and DevOps teams.
Sep 22, 2022   |  By Sandro Lima
If you’re an AWS user, you’re probably familiar with some of Amazon’s native services available for logging and monitoring, such as CloudWatch and CloudTrail. With that said, log management can get complicated quickly, especially if you’re dealing with a high volume of logs from AWS Lambda functions or a multi-cloud/hybrid cloud environment. AWS logging tips we’ll walk you through can certainly help.
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.
Jul 16, 2020   |  By ChaosSearch
On this installment of our series of live demos we provide a product overview.
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.
Feb 20, 2020   |  By ChaosSearch
How to make refining data as affordable as generating it.

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.