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Driving Real-Time ChatOps With PagerDuty and Microsoft Teams

With over 75 million daily active users, it’s safe to say Microsoft Teams is essential to many global businesses. On top of that, Microsoft CEO Satya Nadella recently shared that Microsoft saw 200 million meeting participants in a single day this month. While Microsoft Teams’ explosive growth can be tied to recent spikes in remote work, many enterprises have relied on Teams to connect people across the globe for quite some time.

Derbyshire Fire & Rescue Service: Fighting cybersecurity fires with Splunk

Everyone at Splunk is very proud of the amazing things that our customers and partners do with their data. It is always extra special when one of those organisations is really doing good and looking after us all in our daily lives. I’m delighted to share one of those stories from the Derbyshire Fire & Rescue Service (DFRS) who is using Splunk as its data-driven SIEM.

Splunk Security Essentials 3.1: Enhanced MITRE ATT&CK Matrix: Find the Content that Matters the Most to You, Faster

One of the great things about developing for Splunk Security Essentials is that most of the features and capabilities are requested from customers and the security community. In this latest release (3.1), we added a feature that has been requested frequently: the ability to filter the ATT&CK Matrix for Cloud and SaaS Techniques. The MITRE ATT&CK Framework consists of multiple matrices such as Enterprise, Mobile, and ICS.

What's New in the Splunk Machine Learning Toolkit 5.2?

We're excited to announce that the Splunk Machine Learning Toolkit (MLTK) version 5.2 is available for download today on Splunkbase! Earlier this month, I discussed how the release of version 5.2 will make machine learning more accessible to more users. Splunk’s MLTK lets our customers apply machine learning to the data they're already capturing in Splunk, develop models, and operationalize these algorithms to glean new insights and make more informed decisions.

NiCE Active 365 Monitor for Microsoft Azure

NiCE is introducing a new line of monitoring solutions for Microsoft Azure. The kick-off for the new Azure monitoring solutions will be the NiCE Active 365 Monitor for Azure, a brilliant monitoring set for Microsoft Teams, SharePoint, OneDrive and Office Platform hosted on Microsoft Azure Monitor. Get a sneak preview on how the new NiCE Active 365 Monitor will boost your efficiency in Azure performance and availability monitoring.

ManageEngine recognized in Gartner Magic Quadrant for Application Performance Monitoring

We are happy to announce that ManageEngine has been recognized by Gartner in its 2020 Magic Quadrant for Application Performance Monitoring. Applications Manager has helped thousands of customers across the globe streamline and manage their servers and applications effectively.

OpsLogix Ping Community Dashboard for SquaredUp

We are happy to announce that our widely popular free Ping Management Pack just got a community dashboard for SquaredUp. The dashboard is now available for download at SquaredUp Community site. The Ping Management Pack Dashboard includes one dashboard and one perspective. We would love to hear your feedback and listen to improvements to get this even better in the future.

Grafana v7.0 released: New plugin architecture, visualizations, transformations, native trace support, and more

We are thrilled to announce that Grafana 7.0 has been released for general availability. Join us as Torkel Ödegaard, the creator of Grafana, hosts a full demo of 7.0 during GrafanaCONline today. With Grafana v7.0, our goal was to extend on the Grafana platform by making it easier and more consistent for existing users, and intuitive and simple for those not familiar with Grafana.

Introduction to Machine Learning Pipelines with Kubeflow

For teams that deal with machine learning (ML), there comes a point in time where training a model on a single machine becomes untenable. This is often followed by the sudden realization that there is more to machine learning than simply model training. There are a myriad of activities that have to happen before, during and after model training. This is especially true for teams that want to productionize their ML models.

Python Logging - The Ultimate Guide

This guide is focused on how to log in Python using the built-in support for logging. It introduces various concepts that are relevant to understanding Python logging, discusses the corresponding logging APIs in Python and how to use them, and presents best practices and performance considerations for using these APIs.