Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

The Journey to Autonomic IT: Progressing to Machine-Assisted IT

So far, we’ve detailed the Autonomic IT maturity model and discussed the characteristics of the early stages of that journey, progressing from “Siloed IT” to “Coordinated IT” and then to “Machine-Assisted IT in recent blog posts.” Wherever your organization is on this journey, there is likely still work to be done.

A Comprehensive Guide to Modernizing Mainframes with MQ Monitoring

Mainframes. Just the word alone can conjure up images of massive, humming machines sitting in a data center, quietly running the backbone of your business. These systems have been around for decades, rock-solid and dependable, but let’s be honest—they’re not exactly built for the speed and flexibility of today’s tech world. The good news? You don’t have to retire your trusty mainframe to keep up with modern demands.

How to Know if My ISP is Getting Packet Loss & How to Fix It

Packet loss is one of the most common network problems that can occur at any moment, impacting various applications and services, including Internet performance. When users experience issues like slow loading times or dropped connections, their first instinct may be to wonder: Is the packet loss on my end or my ISP's end? How can I know if my ISP is experiencing packet loss? This question is crucial for both customers and ISPs.

Outages, privacy, and cybersecurity worries: Insights from our K12 technology survey

Ever wondered what keeps K12 IT professionals up at night? Outages, technology changes, and device management are just the beginning. Our survey reveals the real struggles of K-12 IT staff. With responses from 51 experts, we dive into their biggest concerns and emerging trends. Discover what keeps them busy and how they’re adapting in a rapidly evolving tech landscape.

Reduce your AWS Step Functions' error remediation time by redriving executions directly from Datadog

AWS enables customers to retry or redrive Step Functions executions to continue any failed executions of Standard Workflows from their points of failure while maintaining all inputs. For example, if you find broken downstream logic in your code or experience unexpected errors upon execution, you can remediate those errors by fully re-running an execution or use redrive to continue this execution.

Infrastructure and Observability as Code | An Introduction

In this video I will introduce you to the concept of Observability as Code and what that looks like in Splunk Observability Cloud. I’ll first discuss the issues you might encounter managing infrastructure manually, and then define Infrastructure as Code so that you have a better understanding of the motivation behind Observability as Code. We’ll briefly introduce Terraform and then I’ll discuss the benefits of implementing Observability as Code using Splunk’s Terraform provider in Splunk Observability Cloud.

When SSL Issues aren't just about SSL: A deep dive into the TIBCO Mashery outage

On October 1, 2024, TIBCO Mashery, an enterprise API management platform leveraged by some of the world’s most recognizable brands, experienced a significant outage. At around 7:10 AM ET, users began encountering SSL connection errors that appeared straightforward at first glance.

What is an SNMP trap? A complete overview

SHARE Simple Network Management Protocol (SNMP) traps are messages sent by SNMP devices that notify network monitoring systems about device events or significant status changes. At LogicMonitor, our view on SNMP has evolved over the years. While we have often favored other logging methods that offered more insights and were considered easier to analyze in the past, we recognize that SNMP traps remain an essential tool in network management.

Using Honeycomb for Frontend Observability to Improve Honeycomb

Recently, we announced the launch of Honeycomb for Frontend Observability, our new solution that helps frontend developers move from traditional monitoring to observability. What this means in practice is that frontend developers are no longer limited to a metrics view of their app that can only be disaggregated in a few dimensions. Now, they can enjoy the full power of observability, where their app collects a broad set of data as traces to enable much richer analysis of the state of a web service.