Operations | Monitoring | ITSM | DevOps | Cloud

The past year has emphasized the importance of digital experience, especially in service delivery. For organizations forced to adopt flexible remote work policies, the IT help desk has been instrumental in business continuity. If end users in your organization are still struggling to find the necessary resources to support their technology, or if IT is still adjusting to the influx of tickets and requests, it may be time to evaluate the foundation of your strategy.

SolarWinds® Pingdom® is an external synthetic monitoring agent designed to monitor your systems from the outside in. If you know what clues to look for, it can provide a great place to triage where a problem is occurring in the system. So how does a Pingdom call work, and how can you use it to debug what’s happening inside the system?

So SolarWinds® Pingdom® has alerted you to an issue—what do you do now? In this article, I’ll explain the features and capabilities of a full monitoring stack in SolarWinds and how you can use it to get to the bottom of a 3 a.m. Pingdom wake-up call. The Setup For our web service, we use a simple architecture of a front-end Flask application with a Postgres back end served behind an edge SSL-terminating NGINX instance on the DigitalOcean Managed Kubernetes service.

Gartner’s Market Guide for Emergency Mass Notification Solutions (EMNS) is a trusted report for security and risk management leaders. It provides insight into effective crisis communication procedures and identifies solutions that help perfect emergency management plans. The EMNS Market Guide has a large, loyal readership in several industries including, state and local government, healthcare, IT support and higher education.

This blog is the first in a two-part series and was adapted from The Enterprisers Project. In 2020, a year like no other, is it still useful to measure IT value based on green, yellow, or red lights on a screen? Now that infrastructure is everything – powering productivity, cutting OPEX, and supporting digital initiatives that may change overnight – flashing lights on a monitor are no longer enough to keep the wheels moving.

With Kinesis Firehose being Splunk’s preferred option when collecting logs at scale from AWS Cloudwatch Logs, we’ve seen plenty of posts on setting this up, automation and examples on transforming event content. But what about when things go wrong?

Software metrics measure a software’s characteristics in a countable manner. That is why tracking the metrics is a huge part of the development stage. The goal of system metrics monitoring is to determine the quality of the product or process during the development and deployment stages. However, not all metrics are beneficial to your software development. That is why you need key performance indicators (KPI) that will help your processes to move forward.

Recently, I led a webinar on Sensu cluster federation and some of the ways users can effectively use Sensu’s API. With the API, you can create as many clusters as needed and federate them without much effort. Also, Sensu makes the management of these clusters very easy by allowing you to manage access using a single web UI. In this post, I will recap the webinar, with step-by-step demos that will touch on how you can.

Raygun is proud to deliver tools that help software teams build software that is reliable, error-free, and fast. Last year was no exception. From more language support to better performance, we released a host of new features designed to help you provide better digital customer experiences. Here, we’ll highlight the cream of the crop — our most significant features released in 2020. We cover our full product suite, plus there’s a hint on what’s to come in 2021.

Serverless platforms like AWS Lambda have helped accelerate application development by removing the need to provision and manage infrastructure resources. However, serverless architecture presents new monitoring challenges. Because AWS Lambda handles underlying infrastructure for you, you don’t have access to system-level metrics. Instead, you have to monitor your Lambda functions for insight into their performance and resource usage.