There was a lot happening in the world in 2024, but today, I’m going to highlight some product accomplishments we had this year at Mezmo on our Telemetry Pipeline product.

Developing an application is like composing a song. You know your intended outcome, and the creation is what gives you the jolt of adrenaline to keep going. However, your job isn’t over once you push the application live. You need to monitor and maintain it to ensure performance and cost optimization. AWS Lambda forwards metrics to CloudWatch once the function completes processing an event. Through the CloudWatch console, you can set alarms and build visualizations with these metrics.

Logs are more than just records. With proper log monitoring, they become the honey that sweetens observability. Observability is your ability to understand and optimize your system’s behavior. Turning raw logs into actionable insights requires the right tools, practices, and insights. This blog post is a guide on log monitoring key concepts and best practices for sweetening your observability.

Effective application monitoring is essential for developers, and Heroku, a popular Platform-as-a-Service (PaaS), provides a solid platform for deploying apps. However, monitoring logs is often an overlooked aspect of maintaining applications on Heroku. Heroku logs provide valuable information to help find bottlenecks, fix issues, and improve application performance.

Here in this blog, we will discuss in detail how log analysis techniques are vital for the operation and protection of today’s complex IT networks. Understanding the functioning of the systems from where the log data is collected and analyzing user behavior is very much possible from log data originating from an organization’s software applications, networks, and security tools. They can also identify some situations that could be implying security issues.

Visuals often communicate better than words, and this is also true for monitoring systems. Dashboards are an essential feature in log monitoring systems, providing great value to those who need to analyze and monitor logs. They help centralize log data in a simple, easy-to-read format, avoid clutter, and allow the team to focus on critical metrics.

Splunk AppDynamics, now part of the Splunk Observability portfolio, provides critical observability for traditional 3-tier/n-tier applications and helps IT Operations teams quickly discover root causes of issues before end-users even notice. AppDynamics complements Splunk Observability Cloud, which is optimized for observing cloud-native applications by DevOps and engineering teams.

I attended Amazon Web Services re:Invent conference. This is AWS's annual user conference, which takes over most of Las Vegas for a week. There’s a lot to do and take in—customer stories galore, new tech, learning different use cases, and all the walking. But you’re here to hear what I learned, so I’ve broken it down into sections. Enjoy!

When it comes to managing AWS cloud security, a growing concern for security operations (SecOps teams) is the increasing sophistication of digital threats. While conventional cyber threats deploy widely known tools and techniques in crude, all-or-nothing attempts to breach enterprise security controls, sophisticated attacks known as Advanced Persistent Threats (APTs) employ more advanced technologies and methods to gain and maintain access to secure systems for long periods of time.

Learn how to configure and manage Linux Syslog for better system monitoring, troubleshooting, and log management with these helpful tips.