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Transforming IT Ops with Machine Learning? Apply Context

A new approach to IT operations is needed - one that works at machine speed. But to transform operations, IT leaders must commit not only to collecting data, but to also putting automated practices in place that ensure data quality and enrich that data with context to make it actionable.

Ways AI is Driving More Efficient Application Performance Monitoring

In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.

Argo Rollouts, the Kubernetes Progressive Delivery Controller, Reaches 1.0 Milestone

Argo Rollouts, part of the Argo project, recently released their 1.0 version. You can see the changelog and more details on the Github release page. If you are not familiar with Argo Rollouts, it is a Kubernetes Controller that deploys applications on your cluster. It replaces the default rolling-update strategy of Kubernetes with more advanced deployment methods such as blue/green and canary deployments.

New Integration: Declare FireHydrant Incidents from Checkly Alerts

Streamlining your incident management process is what we do best, and one of the ways we do that is by acting as the connective tissue across all of your applications. We’ve partnered with Checkly to bring you a new integration that empowers you to detect problems and resolve incidents faster.

Use Datadog's Notebooks API to programmatically manage your notebooks

Datadog Notebooks simplify the way teams across an organization find and share knowledge. By bringing together live data and rich Markdown text, Notebooks help teams create powerful, data-driven documents—from runbooks and support playbooks to incident postmortems and data reports. And with collaboration functionalities like real-time editing and commenting, team members can simultaneously make changes to a document and gather feedback along the way.

Monitoring a RESTful API on a Headless CMS Using Pingdom

There are plenty of ways to gain insights on website availability and performance, from setting up complex monitoring agents to browsing through real-time logs. Few services are as straightforward and robust as SolarWinds® Pingdom®. Pingdom lets you set up checks for your website including uptime, page speed, and user interactions. It then collates the results in a dashboard for you to visualize.

Incident Reporting and Crime Detection: The Role of Computer Vision

One of the most important uses of Artificial Intelligence (AI) and Machine Learning (ML) lies in the detection and prevention of criminal activities. Today, companies are widely using AI-powered computer vision devices to predict and detect crimes ranging from frauds and theft to violence and cybercrimes. The developments in computer vision technologies enabled authorities to simplify incident reporting and crime detection more efficiently.

Anomaly Detection with Machine Learning

Unsupervised machine learning can help you detect anomalies in your data and forecast trends. The Elastic Observability and Security solutions have preconfigured machine learning models right out of the box. In this video you will see how you can get started with creating your own machine learning jobs.