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Jun 10, 2021   |  By George Hamilton
The global market for log management was valued at $1.9 billion in 2020, according to MarketsandMarkets. Analysts predict this will grow to $3.7 billion by 2025. With this massive growth in log data, there will also be massive demand for escalated support in log management systems.
Jun 3, 2021   |  By Thomas Hazel
Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2021. Data warehouses are used for storing enterprise data and fueling business intelligence and analytics applications. Data lakes are also a form of enterprise data storage, but don’t inherently include the same analytics features commonly associated with data warehouses. Data lakes must be connected to downstream tools in order to provide analytical capabilities.
May 24, 2021   |  By Kevin Petrie
If Ben Franklin lived today, he would add cyber threats to his shortlist of life’s certainties. For decades, bad guys have inflicted malware, theft, espionage, and other forms of digital pain on citizens of the modern world. They seek money, celebrity, and political secrets, and often get them. In 2020, hackers halted trading on the New Zealand stock exchange with a distributed denial of service (DDoS) attack.
May 20, 2021   |  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 in production, taking advantage of its orchestration and automation capabilities to optimize the software development process and reduce web server provisioning costs.
May 17, 2021   |  By Thomas Hazel
Exciting news — ChaosSearch won the 2021 InfoSec “Cutting Edge in Cybersecurity Analytics” award from Cyber Defense Magazine! We’re honored to be recognized for our innovation in delivering security insights at scale. The InfoSec panel of judges is made up of certified security pros who understand what SecOps teams care about and how log analytics should be applied to keep data secure.
May 13, 2021   |  By Kevin Davis
Properly analyzing the massive amounts of data created by network access and the associated security tools has become a very tedious chore. Today’s cybersecurity professionals are seeking ways to better deal with the massive influx of information so that they can make intelligent choices when it comes to the cybersecurity posture of their networks. Selecting the proper tools is an important task which merits investigation.
May 3, 2021   |  By Dave Armlin
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.
Apr 29, 2021   |  By Thomas Hazel
Creating an effective threat hunting program is among the top priorities of security leaders looking to become more proactive and build active defenses. Yet finding the right expertise to staff a hunt team remains a challenge, with 58% of respondents in a recent SecOps survey saying they felt their organization’s investigative skills and capabilities were in need of improvement.
Apr 22, 2021   |  By Thomas Hazel
Security analysts have long been challenged to keep up with growing volumes of increasingly sophisticated cyberattacks, but their struggles have recently grown more acute. Only 46% of security operations leaders are satisfied with their team’s ability to detect threats, and 82% of decision-makers report that their responses to threats are mostly or completely reactive — a shortcoming they’d like to overcome.
Apr 15, 2021   |  By Dave Armlin
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.
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
Aug 9, 2019   |  By ChaosSearch
Store Everything, Ask Anything.
Mar 14, 2019   |  By ChaosSearch
Patrick Flaherty's talk from the CHAOSSEARCH tech event in Boston on March 13th, 2019. "GET TO THE BUCKET - How I left Logstash and learned to love S3”. Patrick talks about how CHAOSSEARCH progressed through our own internal logging project to efficiently log data directly to S3 without using tools like Logstash or Fluentd.
Feb 22, 2019   |  By ChaosSearch
How many fastballs were pitched in 2016? What MLB Pitchers threw screwballs in 2016 and how many did they pitch? Watch Pete Cheslock answer these questions and more!
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.