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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

How to Calculate Log Analytics ROI

Calculating log analytics ROI is often complicated. For many teams, this technology can be a cost center. Depending on your platform, the cost of a log management solution can quickly add up. For example, many organizations use solutions like the ELK stack because the initial startup costs are low. Yet, over time, costs can creep up for many reasons, including the volume of data collected and ingested per day, required retention periods, and the associated personnel needed to manage the deployment.

Mastering CloudTrail Logs, Part 1

CloudTrail logs are a type of log generated by Amazon Web Services (AWS) as part of its CloudTrail service. AWS CloudTrail records API calls made within an AWS account, providing a history of activity including actions taken through the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. For example, CloudTrail events are generated for actions such as EC2 instances start/stop, S3 bucket read/write and IAM user creation/deletion.

Enhancing Data Ingestion: OpenTelemetry & Linux CLI Tools Mastery

While OpenTelemetry (OTel) supports a wide variety of data sources and is constantly evolving to add more, there are still many data sources for which no receiver exists. Thankfully, OTel contains receivers that accept raw data over a TCP or UDP connection. This blog unveils how to leverage Linux Command Line Interface (CLI) tools, creating efficient data pipelines for ingestion through OTel's TCP receiver.

Setting Up the Latest AWS Observability Solution

The tutorial demonstrates how easy it is to deploy the AWS Observability Solution using the CloudFormation template using the quick and new method. The CloudFormation template being used in this method sets up an automated collection of logs and metrics from AWS to the Sumo Logic service.

The Complete Guide to Capacity Management in Kubernetes

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.