Operations | Monitoring | ITSM | DevOps | Cloud

Anomaly Detection

What is an Anomaly? Avoiding False Positives in Watchdog Detected Anomalies

Apr 11, 2024 By Datadog In Datadog
In 2018 Datadog released Watchdog to proactively detect anomalies on your observability data. But what defines an anomaly? How do you avoid false positives? At Datadog Summit London 2024, Nils Bunge, product manager at Datadog, shared the story of the creation of the first Datadog AI feature (Watchdog Alert), what we learned from it and how we applied those lessons to all the added AI functionalities across the years.
View Video

Azure Cost Monitoring: Anomaly Detection

Apr 9, 2024 By Turbo360 In Turbo360
In this video, Michael Stephenson demonstrates the anomaly detection feature in Turbo360, focusing on enhancements in cost monitoring. This feature allows users to easily identify deviations in Azure costs and receive alerts when anomalies occur. It simplifies configuration, enabling daily monitoring with alerts sent to specified channels. Anomalies can be detected at both high-level and granular levels, aiding in overall Azure cost management.
View Video
logicmonitor

How to enhance network monitoring: 3 anomaly detection use cases

Mar 21, 2024 By LogicMonitor In LogicMonitor
In the LM Envision platform, anomaly detection for metrics is referred to by the feature name “Dynamic Threshold” rather than the more generic machine learning term “anomaly detection.” Dynamic thresholds allow users to identify and set custom alert thresholds based on observed data points. Metric thresholds in rules-based systems are effective when the desired outcome is clear. However, static thresholds may not anticipate emerging issues.
Read Post
VictoriaMetrics

VictoriaMetrics Machine Learning takes monitoring to the next level

Mar 19, 2024 By Jean-Jerome Schmidt-Soisson In VictoriaMetrics
Today we’re happy to announce our new VictoriaMetrics Anomaly Detection solution, which harnesses machine learning to make database alerts more relevant, accurate and actionable for enterprise customers. VictoriaMetrics Anomaly Detection lightens the load on overworked data engineers, focusing their scarce resources on the alerts that matter most to their organization.
Read Post
turbo360

How Azure cost anomaly detection shields billing shocks

Mar 15, 2024 By Nadeem Ahamed In Turbo360
One of the fundamental promises of the cloud, when organizations embrace it, is significant cost savings compared to its on-premises costs. However, organizations to realize savings is required to proactively plan and monitor the application’s cost at a granular level. Azure cost anomaly detection involves promptly identifying, rectifying, and analysing unexpected Azure cost events to minimize their impact on the business.
Read Post
logz.io

Critical Automation: Anomaly Detection for Application Observability

Feb 28, 2024 By Matt Hines In logz.io
There’s no debate — in our increasingly AI-driven, lean and data-heavy world, automating key tasks to increase effectiveness and efficiency is the ultimate name of the game. No matter what job you hold today, you’re likely being pushed to not only do more with less, but also perform your work with a tighter focus on specific outcomes and SLOs.
Read Post
bigpanda

How AIOps turns anomaly detection into faster incident resolution

Jan 24, 2024 By Amy Brennen In BigPanda
Quickly finding and resolving monitoring anomalies can make all the difference between service issues – and service excellence. But it’s far from easy, whether you’re trying to sift through countless alerts, understand the context behind anomalies, or swiftly pinpoint their root causes. If you’re an ITOps practitioner or enterprise architect looking to fine-tune your anomaly detection and resolution skills, you’ve come to the right place.
Read Post
Sponsored Post
eventsentry

Revealing Suspicious VPN Activity with Anomaly Detection

Jan 23, 2024 By ingmar.koecher In EventSentry
Anybody who monitors logs of any kinds, knows that the extracting useful information from the gigabytes of data being collected remains one of the biggest challenges. One of the more important metrics to keep an eye on are all sorts of logons that occur in your network – especially if they originate on the Internet – such as VPN logins.
Read Post
influxdata

Webinar Recap: Building an AI Anomaly Detection Pipeline with InfluxDB

Dec 18, 2023 By Charles Mahler / In InfluxData

In this webinar hosted by InfluxDB and HiveMQ, we focus on how you can create value for your business using new tools in the AI and database ecosystem to quickly deploy AI models to perform tasks like anomaly detection. The webinar starts with a high-level overview of how MQTT and time series data can be valuable in an industrial IoT environment.

Read Post
VictoriaMetrics

Anomaly Detection for Time Series Data: Techniques and Models

Nov 29, 2023 By Fred Navruzov In VictoriaMetrics

Welcome to the third chapter of the handbook on Anomaly Detection for Time Series Data! This series of blog posts aims to provide an in-depth look into the fundamentals of anomaly detection and root cause analysis. It will also address the challenges posed by the time-series characteristics of the data and demystify technical jargon by breaking it down into easily understandable language.

Read Post
Subscribe to Anomaly Detection

Copyright © 2024 OpsMatters™. All rights reserved.