Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

We've done it again: ManageEngine named a 2023 Gartner Peer Insights Customers' Choice for Application Performance Monitoring and Observability!

At ManageEngine, customers are at the heart of everything we do. That’s why we are excited to be recognized as a 2023 Gartner Peer Insights™ Customers’ Choice for Application Performance Monitoring and Observability. This year marks the fifth time we have been recognized with this distinction.

The DSCR Program for California Investors: A Strategic Approach to Real Estate Financing

This article offers a thorough exploration of the DSCR program for California investors, examining its application, benefits, and challenges in the context of the state's varied real estate market. It provides practical advice for investors looking to leverage the program's advantages while navigating its potential risks.
Sponsored Post

Managing Hybrid Environments Using SCCM, Intune, and SCOM

In the dynamic landscape of IT management, organizations face the challenge of monitoring infrastructure health and managing diverse endpoints efficiently. Microsoft offers two powerful solutions, System Center Operations Manager (SCOM) and Intune, each tailored to address distinct aspects of IT management. In this blog post, we will delve into the functionalities of SCOM and Intune, explore their detailed differences, and understand why paying attention to Intune alerts is crucial. Download PDF.

Challenges in Oracle Monitoring and How to Overcome Them

In the ever-evolving landscape of data management, Oracle databases stand as stalwarts, driving critical operations for countless organizations worldwide. Yet, the complexity of these environments presents a formidable challenge in monitoring them effectively. Efficient monitoring is the cornerstone of ensuring optimal performance, security, and compliance within Oracle ecosystems. However, the multifaceted nature of Oracle databases poses several challenges that demand nuanced solutions.

How to Create Great Alerts

We’ve all been guilty of it. Creating rules and filters to hide those alerts that, for the most part, are just noise. Only then to have notifications about a legitimate issue also get swept up by those same filters. There’s only so many times we can break concentration and disrupt productivity before getting fed up with false positives and ignoring everything completely.

A Guide to Visual Regression Testing With Playwright and How to Get Started

I’m pretty sure that you’ve had a situation where you deployed a major UX change on your web app and missed the most obvious issues, like a misaligned button or distorted images. Unintended changes on your site can cause not only a sharp decline in user satisfaction but also a large fall in sales and customer retention. By identifying and resolving these discrepancies before the update went live, you could have prevented these outcomes.

Alerts Are Fundamentally Messy

Good alerting hygiene consists of a few components: chasing down alert conditions, reflecting on incidents, and thinking of what makes a signal good or bad. The hope is that we can get our alerts to the stage where they will page us when they should, and they won’t when they shouldn’t. However, the reality of alerting in a socio-technical system must cater not only to the mess around the signal, but also to the longer term interpretation of alerts by people and automation acting on them.

NGINX Access and Error Logs

Nginx, a widely used web server and reverse proxy, maintains two crucial logs that provide valuable insights into its performance and user interactions: the access log and the error log. These logs play a pivotal role in monitoring and troubleshooting web server activities. The access log records every request made to the server, capturing details such as the requested URL, client's IP address, response status code, and user agent.

Finding relationships in your data with embeddings

With the world still working out the limits of LLMs and ever more powerful models being released each month, it’s a little hard to know where to begin. Whether it’s summarising and generating text, building a useful chat assistant, or comparing the relatedness of strings with embeddings, almost all of this now can be done via a few simple API calls. It has never been easier to incorporate these new technologies into your own product.