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4 Challenges of Serverless Log Management in AWS

Serverless services on AWS allow IT and DevSecOps teams to deploy code, store and manage data, or integrate applications in the cloud, without the need to manage underlying servers, operating systems, or software. Serverless computing on AWS eliminates infrastructure management tasks, helping IT teams stay agile and reducing their operational costs - but it also introduces the new challenge of serverless log management.

Data lake vs. data mesh: Which one is right for you?

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? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

3 Effective Tips for Cloud-Native Compliance

The ephemeral nature of the cloud has made compliance and security a greater challenge for organizations. The volume of data that companies must collect and retain from their cloud services, depending on their industry, is ballooning fast. According to ESG, 71% of companies believe their observability data (logs, metrics and traces) is growing at a concerning rate. Even so, outcomes are getting worse, not better. Six out of 10 teams are unable to prevent issues before customers are impacted.

How to Use Operational IT Data for PLG

Operational IT data, such as log data and other application telemetry, can play an important role in understanding your users. Leveraging user data to continuously optimize and improve products is a core tenet of product-led growth (PLG). Let’s learn more about PLG, and how IT telemetry data can be used to power strategic growth.

Log Analytics 2023 Guide

As enteprise networks grow larger and more complex, IT teams are increasingly dependent on the enhanced network visibility and monitoring capabilities provided by log analytics solutions. Log analytics gives enterprise Engineering, DevOps, and SecOps teams the ability to efficiently troubleshoot cloud services and infrastructure, monitor the security posture of enterprise IT assets, and measure application performance throughout the application lifecycle or DevOps release pipeline.
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5 Advanced DevSecOps Techniques to Try in 2023

If you're here, you know the basic DevSecOps practices like incorporating proper encryption techniques and embracing the principle of least privilege. You may be entering the realm of advanced DevSecOps maturity, where you function as a highly efficient, collaborative team, with developers embracing secure coding and automated security testing best practices.

The Power of Combining a Modular Security Data Lake with an XDR

The average cost of a data breach is expected to hit $5 million in 2023. For many organizations, it is a matter of when, not if, a cybersecurity incident will occur. Attackers are becoming more sophisticated and relying on weak links to exploit company applications and infrastructure. Combine this phenomenon with the fact that the traditional network security perimeter has changed (and all but disappeared). Cloud computing and remote work have driven this trend.

How to Create a Dashboard in Kibana

Wondering how to create a dashboard in Kibana to visualize and analyze your log data? In this blog post, we’ll provide a step-by-step explanation of how to create a dashboard in Kibana. You’ll learn how to use Kibana to query indexed application and event log data, filter query results to highlight the most critical and actionable information, build Kibana visualizations using your log data, and incorporate those visualizations into a Kibana dashboard.
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The Right Time to Right-Size Your Observability Process

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. We created a five-minute video to demonstrate how clients find themselves in this predicament.

How to discover advanced persistent threats in AWS

For many organizations, it’s a matter of when, not if, a cybersecurity threat will occur. According to IBM, the average cost of a data breach in 2022 was a staggering $9.44 million in the U.S., with nearly half of breaches happening in the cloud. The longer a threat lingers, the costlier it gets. Advanced persistent threats (APTs), or threat actors that infiltrate cloud infrastructure like Amazon Web Services (AWS) and linger undetected, are on the rise.