Operations | Monitoring | ITSM | DevOps | Cloud

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Email Round-Trip Monitoring Use Cases

Email round-trip monitoring is a powerful tool that tracks the full journey of an email from when it is sent to when it is successfully received. This comprehensive monitoring provides real-time insights into the performance and reliability of email systems, helping to identify issues that could affect uptime, deliverability, and overall communication efficiency.

AIOps monitoring: Definition, uses, and features

AIOps monitoring is a proactive process that uses AI to anticipate and identify IT infrastructure issues. Going beyond traditional troubleshooting, it enables your systems to detect anomalies in advance to prevent potential disruptions. AIOps uses advanced technology like AI and machine learning to simplify IT operations. AIOps monitoring collects and analyzes large data sets from diverse sources, such as logs, metrics, and events.

ITSM Gartner Magic Quadrant: What is The Latest Version?

For years, the ITSM Gartner Magic Quadrant was the go-to resource for businesses seeking the best IT Service Management (ITSM) platforms. It played a crucial role in shaping purchasing decisions, setting standards, and offering insights into market trends within the IT Service Management world. However, in 2023, Gartner replaced the Magic Quadrant for ITSM with the Gartner Market Guide — in which we're proud to be featured.

End-to-end tracking for Azure Data Factory

This video by Michael Stephenson focuses on utilizing Turbo360's Business Activity Monitoring (BAM) data query feature in conjunction with Azure Data Factory. It begins with an introduction to the architecture, highlighting how data factory diagnostic settings can push events to a Log Analytics workspace for tracking purposes.

Feature Friday #32: Doing math in policy with eval()

Ever need to do some math during policy evaluation? Sometimes configuration settings are based on available resources. For example, what if you want to calculate the size of shared buffers to be 25% of your available memory? Let’s write some policy. First, we need to figure out how much memory we have. Let’s parse this out from /proc/meminfo: So, we have 65505464 kB of memory in total. Knowing that we can use eval() to calculate what 25% is. eval() can also be used to test truthfulness.

What's New with Ivanti Neurons 2024.4

Boosting Cybersecurity with Neurons Platform! New Module Alert: Introducing a powerful new module to enhance your cybersecurity game! Key Updates: App Control Module: Combat zero-day malware with trusted ownership and assess impacts with audit mode. Privilege Elevation Control: Strengthen your security posture with advanced control features. App Templates: Simplify configuration with pre-built templates. Historical Data Analysis: Evaluate effectiveness with in-depth data insights.

Datadog vs Splunk: A Side-by-Side Comparison [2024]

Datadog and Splunk are both leading tools for monitoring and observability. Each offers a range of features designed to help you understand and manage your data. Datadog provides tools for tracking application performance and analyzing logs in real-time. Splunk, meanwhile, is known for its powerful log analysis and search capabilities. In this post, we will compare Datadog and Splunk on important aspects like APM, log management, search capabilities, and more.

AWS Budgets Alternatives To Help Optimize AWS Cloud Spend

Amazon Web Services (AWS) offers several native tools for reporting and cost optimization. Among them is AWS Budgets, a service that enables users to set spending and usage limits on their AWS resources. It also schedules reports with regular updates on actual or forecasted costs, ensuring users are informed of usage. However, AWS Budgets is a budgeting tool and has limitations when it comes to comprehensive AWS cost control.

Effortless Data Compliance with Cribl Lake

Organizations generate, collect, and store vast amounts of telemetry data. With this data comes the growing responsibility to ensure compliance with various regulations, from GDPR to HIPPA. Data compliance ensures data is handled, stored, and processed according to laws and standards protecting personal information. But what makes compliance regulations scary is that it’s ever-changing and rules vary across industries, making it complex to manage.