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

Shipping AWS Lambda Metrics to Logz.io

Serverless computing has taken off in recent years with more efficient cloud services. AWS Lambda is a great example of this, where provisioning and management of resources happens from the service’s end. You only have to deal with the code. This article will give a brief overview of AWS Lambda in contrast to EC2 instances, then walk through shipping AWS Lambda metrics to Logz.io.

Linux Logging Tutorial: What Are Linux Logs, How to View, Search and Centralize Them

TL;DR note: if you want the bzip2 -9 version of this post, scroll down to the very last section for some quick pointers. If you want to learn a bit about Linux system logs, please continue, as we’ll talk about all these and more.

The 7 Essential Metrics for Amazon EC2 Monitoring

Amazon EC2 offers a flexible and convenient way to run virtual machines in the cloud. With dozens of EC2 instance types available, as well as multiple pricing options, it’s easy to use EC2 to configure the best cloud-based virtual machines for your needs and budget. One thing that EC2 doesn’t make very easy on its own, however, is monitoring.

Making the Collection of Centralised S3 Logs into Splunk easy with Lambda and SQS

Got multiple AWS data sources in the same S3 bucket but struggle with efficient SNS notifications based on prefix wildcards? Well, struggle no more, we’ve got your back. Many of our customers have a centralised S3 Bucket for log collection for multiple sources and accounts. For example, all Config, CloudTrail and Access Log logs may be routed into one central bucket for an organisation.

Why the CEO Cares About Splunk

Evolving business themes come at us in waves. So far this millennium we have had The New Economy, The Cloud, and now Digital Transformation. Underpinning these themes are real, economically significant dynamics that drown out the bleating voices of pundits and cynics alike. The Internet is not a bubble, the cloud is not a fad, and digital transformation is, well, transformative. Let’s take a look at what that last one means for Financial Services.

Reduce Monitoring Costs: How to Identify and Filter Unneeded Telemetry Data

To understand what’s going on in their environment, DevOps teams usually ship some combination of logs, metrics and traces—depending on which signals they’re hoping to monitor. Each data type will expose different information about what is happening in a system. However, not all of that information will be helpful on a day-to-day basis, which can rack up unnecessary data storage costs. That should require users start to filter telemetry data across their observability stacks.