Winston Logging in Node.js: The Essential Guide for Developers
Learn how to integrate Winston for efficient logging in Node.js. Explore features, configurations, and best practices to optimize your app's performance.
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How Log Analytics Powers Four Essential CloudOps Use Cases
Cloud computing shapes the ability of enterprises to transform themselves and effectively compete. By renting elastic cloud resources, enterprises can support new customer platforms, distributed workforces, and back-office operations. The cross-functional discipline of CloudOps helps enterprises manage cloud resources by optimizing applications and infrastructure. But, none of this can be done without the right strategies and techniques to analyze your application telemetry data - primarily logs and events.
The Log Monitoring Guide for Sweet Insights
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.
23 Lambda Metrics You Should Know
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.
2024 Recap - Highlights of Mezmo's product enhancements
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.
The Ultimate Guide to Heroku Logs Monitoring
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.
Leverage log analytics dashboards for better monitoring
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.
Top 5 Things to Consider When Selecting a Log Analysis Platform
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.
Splunk AppDynamics 24.10 Accelerates Deployment And MTTR
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.
AWS re:Invent '24: Generative AI Observability, Platform Engineering, and 99.9995% Availability
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!