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DevOps Blogs

DevOps
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Splunk has been named a Leader in the 2023 Gartner® Magic Quadrant™ for APM and Observability.

Latest Articles

DevOps 6 Min Read

Introducing Splunk Data Links: Connect Streaming Metrics to Logs, Reduce MTTR

Data Links are now generally available in Splunk Infrastructure Monitoring, enabling DevOps teams to get to better insights and resolve issues faster by tapping into the right data from the right system at the right time.
DevOps 8 Min Read

Monitoring with Logs: Metrics from AWS FireLens, Splunk and Logstash

SignalFx is advancing its observability capabilities with the introduction of log metricization by way of an official integration with FireLens, the new log aggregation service from AWS.
DevOps 2 Min Read

3 Easy Steps to Data Ingestion with Splunk Investigate

Learn how to get data into Splunk's new investigative tool following this short blog and video tutorials.
DevOps 1 Min Read

SignalFx Signs Definitive Agreement to Be Acquired by Splunk

SignalFx has signed a definitive agreement to be acquired by Splunk.
DevOps 5 Min Read

SignalFx Enables Observability as a Service With New Service Bureau Capabilities

Over the last few weeks, we've delivered major enhancements to Service Bureau so organizations can have an easy-to-consume observability service.
DevOps 2 Min Read

2018 State of DevOps Report: 6 Ways to Crush Your DevOps Strategy

Splunk and Puppet's 2018 State of DevOps Report provides key takeaways to improve your DevOps journey
DevOps 3 Min Read

Rethinking Availability: Why You Need Collaborative Incident Response

A DevOps culture of collaboration and transparency leads to more reliable systems
DevOps 3 Min Read

New in SignalFx: Convert SignalFx Charts to and From SignalFlow for Monitoring as Code

We’re excited to unveil a feature in SignalFx that allows users to easily view and edit charts using both the SignalFlow query language and our graphical UI.
DevOps 5 Min Read

In a Digital World Where the Speed of Innovation Matters, Are You Anchored Down by Legacy APM Agents?

Traditional APM solutions fail to provide reliable visibility into application performance because they rely on head-based sampling. The probabilistic and random nature of head-based sampling was good enough for legacy monolithic applications because of their predictable performance patterns...