ChaosSearch

Boston, MA, USA
2017
  |  By Thomas Hazel
Establishing an effective cyber threat hunting program is among the top priorities of enterprise security leaders seeking a proactive approach to detecting and counteracting potential threats. Furthermore, implementing a proactive threat hunting program, security teams that leverage formalized frameworks or threat hunting methodologies are far more likely to detect vulnerabilities or in-process malicious activities in their environments than those that do not. However, data from a 2023 threat hunting survey revealed that while 73% of organizations have adopted a defined threat hunting framework, only 38% actually follow it.
  |  By David Bunting
Modern data-driven organizations are synergizing operations observability, business intelligence, and data science with digital business observability programs that break down data silos, increase productivity, and drive innovation. Digital business observability combines IT and business data with cutting-edge data science techniques, enabling deeper analysis and unlocking valuable insights that propel innovation across use cases from sales and marketing to product design and financial operations.
  |  By Dave Armlin
Observability is a key pillar for today’s cloud-native companies. Cloud elasticity and the emergence of microservices architectures allow cloud native companies to build massively scalable architectures but also exponentially increase the complexity of IT systems.
  |  By Thomas Hazel
In 2009, as the world became increasingly data-driven, organizations began to accumulate vast amounts of data — a period that would later be characterized as the Big Data revolution. While most organizations were used to handling well-structured data in relational databases, this new data was appearing more and more frequently in semi-structured and unstructured data formats.
  |  By David Bunting
Today's applications demand efficient data handling to provide users with seamless experiences. One solution that has gained prominence is the use of embedded databases, which are integrated within applications rather than relying on external servers. Different from a database for embedded systems, databases embedded within applications offer several advantages for storing data and analyzing it, especially in scenarios where performance, deployment simplicity, and data security are important. Embedded databases, or an embedded database management system (DBMS), can serve a variety of use cases, but are especially valuable for applications that need to provide analytics capabilities.
  |  By George Hamilton
Can following log management best practices help organizations with their overall observability, as well as troubleshooting issues and security analytics? Absolutely. In addition, following log management best practices can provide significant competitive advantages when it comes to understanding your users. Centralized log management can help your team accelerate time to insights, and make changes to your applications that improve the user experience.
  |  By David Bunting
A multi-cloud approach helps organizations avoid vendor lock-in, leverage the best available technologies, and reduce costs - but it can also result in added complexity when it comes to centralizing, securing, and analyzing data from cloud applications and services. This blog highlights 5 multi-cloud data management best practices that can help you make the most of your data in multi-cloud environments.
  |  By David Bunting
Elasticsearch and OpenSearch are powerful enterprise search and analytics engines that have become popular in the world of data management and telemetry analysis. Their ability to swiftly search, analyze, and visualize data has made them indispensable for businesses and organizations. However, in this blog, we will explore a few key challenges faced by companies using Elasticsearch and OpenSearch, shedding light on important considerations when selecting the right tool for your needs.
  |  By George Hamilton
The open-source Kubernetes platform has become the de facto standard for deploying, managing, and scaling containerized services and workloads. In fact, 83% of DevOps teams are using Kubernetes to deploy containerized applications in production, taking advantage of its workload orchestration and automation capabilities to optimize the software development process and reduce web server provisioning costs.
  |  By David Bunting
Since its initial release in 2010, Elasticsearch has grown into the most popular enterprise search engine with use cases that range from web crawling and website search to application performance monitoring and security log analytics. But despite its widespread adoption and success, Elasticsearch does have some notable disadvantages that you should consider - especially if you’re envisioning a high-scale deployment with a large amount of daily ingestion.
  |  By ChaosSearch
Learn how ChaosSearch analyzes log and event gaming data from fictitious car racing game racing legends.
  |  By ChaosSearch
Listen in on the conversation Thomas Hazel had with Dave Vellante at SuperCloud4.
  |  By ChaosSearch
Listen in on the conversation Thomas Hazel had with Dave Vellante at SuperCloud4.
  |  By ChaosSearch
Listen in on the conversation Thomas Hazel had with Dave Vellante at SuperCloud4.
  |  By ChaosSearch
Listen in on the conversation Thomas Hazel had with Dave Vellante at SuperCloud4.
  |  By ChaosSearch
Thomas Hazels talks to John Furrier, co-founder of SiliconANGLE on data: AI, LLM, and Chaos LakeDB.
  |  By ChaosSearch
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database. Ed Walsh shares details on the new Chaos LakeDB.
  |  By ChaosSearch
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database.
  |  By ChaosSearch
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database.
  |  By ChaosSearch
Cloud Imperium Games (CIG) is a prominent video game development company known for its ambitious project, Star Citizen, which aims to be an open-world, massively multiplayer online space simulation game. As a result of the game's popularity, all the metrics, events, and logs, generated to track every single action during gameplay, also experienced explosive growth in terms of volume and also in diversity (a consequence of the dynamic and fast-paced development environment).
  |  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.
  |  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.