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.
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.
NVIDIA Jetson is a family of embedded, low-power computing boards designed to support machine learning and AI applications at the edge. Organizations use Jetson boards for complex video and image processing and analysis, automating build processes in factories, and improving city infrastructures. For example, Jetson-based devices enable cities to analyze traffic patterns with their existing traffic cameras in order to find ways to improve their most congested intersections.
Logz.io has recently launched its Smart Tiering solution, which gives you the flexibility to place data on different tiers to optimize cost, performance and availability. Our mission has been to make Smart Tiering a multi-cloud and multi-region service. As part of this launch, we are glad to announce that the Historical Tier now supports Microsoft Azure Blob Storage, alongside AWS S3.