Operations | Monitoring | ITSM | DevOps | Cloud

Website maintenance is not that different from keeping up with the maintenance of real brick-and-mortar stores. Would you shop at a dirty store, filled with broken furniture, and selling outdated products? We didn’t think so. Website maintenance plays the same role: it makes the business inviting, makes you look professional, and engages customers.

Today, pretty much every critical business service, every critical employee job function, every critical customer transaction, and so much more are all reliant upon network connectivity. It falls to network operations (NetOps) teams to ensure network connections continue to support these demands. Over time, the scale and the complexity of the networks the organization relies upon have continued to grow, making the job of NetOps teams increasingly challenging.

Extracting insights from log and security data can be a slow and resource-intensive endeavor, which is unfavorable for our data-driven world. Fortunately, lookup tables can help accelerate the interpretation of log data, enabling analysts to swiftly make sense of logs and transform them into actionable intelligence. This article will examine lookup tables and their relationship with log analysis.

Data Lakes can be difficult and costly to manage. They require skilled engineers to manage the infrastructure, keep data flowing, eliminate redundancy, and secure the data. We accept the difficulties because our data lakes house valuable information like logs, metrics, traces, etc. To add insult to injury, the data lake can be a black hole, where your data goes in but never comes out. If you are thinking there has to be a better way, we agree!

This article, written by Shan Desai, was originally published on his blog and is reposted here with permission. Shan is a Software engineer currently employed at Emerson Discrete Automation and is an Open-Source Contributor / DIY Tech Enthusiast currently working with Industrial IoT. Telegraf is widely used as a metric aggregation tool thanks to the diverse number of plugins it provides that interface with a multitude of systems without having to write complex software logic.

The Content Delivery Network (CDN) market is projected to grow from 17.70 billion USD to 81.86 billion USD by 2026, according to a recent study. As more businesses adopt CDNs for their content distribution, CDN log tracking is becoming essential to achieve full-stack observability. That being said, the widespread distribution of the CDN servers can also make it challenging when you want visibility into your visitors’ behavior, optimize performance, and identify distribution issues.

This guide is for anyone who is getting started monitoring their application with OpenTelemetry, and is generating unstructured logs. As is well understood at this point, structured logs are ideal for post-hoc incident analysis and broad-range querying of your data. However, it’s not always feasible to implement highly structured logging at the code level.

We often get asked, what's the best place to get started with OpenTelemetry - host metrics, traces, or even logs? Hosts Nočnica Mellifera and Pranay will talk about taking your first steps to gathering OpenTelemetry data Below is the recording and an edited transcript of the conversation. Find the conversation transcript below.

Dr. Panos Patros, CPEng This is the second and final part in our exploration of must-know OOP patterns, and covers the composite bridge pattern, iterator pattern, and lock design pattern. Find part one here covering extension, singleton, exception shielding and object pool patterns. Object-oriented design is a fundamental part of modern software engineering that all developers need to understand.