While federal agencies are making significant headway moving IT workloads to multiple cloud service platforms, they continue to face a variety of challenges in gaining a complete picture of their ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martha Lambert introduces the "Observability ...
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Next-level monitoring: Observability in IT
The terms observability and monitoring are often used interchangeably, but they serve distinctly different purposes in IT operations, with observability offering deeper insights and the ability to ...
Trying to sort through all of the information higher education IT teams are monitoring is a losing battle. Observability helps it all make sense. For colleges and universities to keep technology ...
Interviews: New Relic’s Ved Antani explains how full-stack observability, AI-driven insights, and India’s engineering ...
DDOG's enterprise-focused platform strategy is gaining traction as large customers standardize observability stacks.
Observability tools and platforms exist at the center of a distributed application architecture. They help DevOps and site reliability engineering (SRE) teams actively debug their systems rather than ...
IT organizations that invest in observability tools can recover services faster, remediate security events sooner, and identify the impact of incidents better, according to Splunk’s annual ...
A lot has changed in IT over the past 40 years. We’ve gone from a world dominated by mainframes, through to client-server architectures and running virtual machines (VMs) inside datacentres. Then, to ...
Ookla, a global leader in connectivity intelligence, brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity ...
As data becomes increasingly abundant and complex, the observability of data also becomes more challenging. Data observability refers to an organization’s ability to ensure data quality and ...
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