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ChaosSearch

Data Retention Policy Guide

Data retention policy will become a major focus for CIOs in 2021. Here’s why: First, enterprise organizations are producing larger volumes of data than ever before and utilizing enterprise data across a wider range of business processes and applications. To maximize its value, this data must be managed effectively throughout its entire life cycle - from collection and storage, through to usage, archiving, and eventually deletion.

How to Get Started with a Security Data Lake

Modern, data-driven enterprise SecOps teams use Security Information and Event Management (SIEM) software solutions to aggregate security logs, detect anomalies, hunt for security threats, and enable rapid response to security incidents. SIEMs enable accurate, near real-time detection of security threats, but today's SIEM solutions were never designed to handle the large amounts of security log data generated by modern organizations on a daily basis.
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5 ELK Stack Pros and Cons

Is your organization currently relying on an ELK cluster for log analytics in the cloud? While the ELK stack delivers on its major promises, it isn't the only search and analytics engine - and may not even be your best option for log management. As cloud data volumes grow, ELK monitoring can become too costly and complex to manage. Fast-growing organizations should consider innovative alternatives offering better performance at scale, superior cost economics, reduced complexity and enhanced data access in the cloud.

How BAI Communications Scaled Log Analytics to Optimize Network Performance

The team wanted something simple that they could use with existing, low-cost storage options, such as Amazon Simple Storage Service (S3) buckets. Instead of implementing a massive volume of solid-state drives (SSDs) to write logs, the team needed a simpler and more cost-effective solution that would keep cloud infrastructure in place for availability and geo-diversity across markets. Today, ChaosSearch helps the team store and query long-term data at 0.1% of the cost of other leading technology stacks.

8 Challenges of Microservices and Serverless Log Management

As organizations increasingly adopt serverless architectures and embrace the benefits of microservices, managing logs in this dynamic environment presents unique challenges. In this blog, we’re taking a closer look at the differences between serverless and traditional log management, as well as 8 challenges associated with log management for serverless microservices.

Understanding Amazon Security Lake: Enhancing Data Security in the Cloud

This year, Amazon Web Services (AWS), a leading cloud services provider, announced a comprehensive security solution called Amazon Security Lake. In this blog post, we will explore what Amazon Security Lake is, how it works, the benefits for organizations, and partners you can leverage alongside it to enhance security analytics and quickly respond to security events. Image source: Amazon.

Chaos AI Assistant (AWS Security Lake Analysis)

Now you can actually have a conversation with your data! The Chaos AI Assistant is a breakthrough feature that elevates log and event data analytics. Seamlessly integrating with the ChaosSearch Platform, it utilizes AI and Large Language Models (LLMs), enabling you to talk to your data to unveil actionable insights.