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.

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.

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.

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.

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.

As organizations continue to become more reliant on distributed and hybrid workforces, the need for comprehensive data collection across every endpoint—servers, applications, desktops, and laptops—has never been more critical. But let’s be real: agents can be a total headache. That’s where Cribl Edge comes in, now with support for desktops and laptops (in preview)!

No matter how well businesses run, team leads, or project managers are always searching for ways to run business operations faster and more efficiently. Even when projects and management plan effectively, processes can still become stuck, face delays, or data becomes disorganized.

In the IT infrastructure serving increasingly digitized enterprises, the criticality of network quality of service is more than evident to ensure connectivity to everyone at any time. System and network administrators need to understand which technology enables efficient, reliable, and lowest latency data transmission between IT applications and services.

The Domain Name System (DNS) is often described as the address book of the Internet. A and AAAA records map a human-friendly hostname like honeybadger.io to some machine-friendly IP address like 104.198.14.52. Other types of DNS records also exist; in particular, CNAME records are records that map a hostname to some other hostname, thereby delegating IP resolution to the latter.