Operations | Monitoring | ITSM | DevOps | Cloud

When you survey developers on how to improve engineering practices and their daily job experience, their answers invariably include getting rid of little annoying things - what's called toil. Toil is manual and repetitive tasks that waste your time. Toil is arguably worse than crisis, because a crisis is temporary and firefighting can feel rewarding when it's over. Toil is more like a death march - an insidious force that eventually leads to burnout.

If you work with large amounts of log data, you know how challenging it can be to analyze that data and extract meaningful insights. One way to make log analysis easier is to normalize your log messages. In this post, we’ll explain why log message normalization is important and how to do it in Graylog.

Log Management tools are crucial for the security and performance of your IT infrastructure. With the right log management system, you can quickly detect and respond to any anomaly or performance issue. Presently, there are numerous log management platforms. Each with its own unique set of features and benefits. While most of these platforms offer industry-standard capabilities, what sets them apart from each other are the stand-out features, pricing, and overall user experience.

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.

PostgreSQL is one of the most popular relational databases on the market today with more than 1.5 billion users. This article will discuss everything you need to know about monitoring PostgreSQL, and how you can use it to optimize your site's data monitoring. If you want to get started right away on PostgreSQL database monitoring with MetricFire, you can book a demo or sign up for the free trial today.

Implementing Azure DevOps can bring numerous benefits to your organization. The impact of Azure DevOps is felt across many aspects of the software development lifecycle, including planning, development, delivery, and operations.

Let's start by simply stating that MPLS is arguably still the leading way to interconnect remote offices back to the company’s primary data centers. MPLS is also great for real-time traffic (like video conferencing). Yet even with those facts working in MPLS’s favor, its usage is dropping year after year. According to TeleGeography’s annual WAN Manager Survey, there was a 24% drop from 2019 to 2020 – and that trend hasn’t slowed down.