Digital Transformation / DX
Artificial Intelligence / AI
Internet of Things / IOT
New Relic stories - Page 2
Demystifying M.E.L.T. - the key data for business observability
The acronym M.E.L.T. is used to define four essential data types: metrics, events, logs and traces.
New Relic: Three core elements of business observability
Today, teams need to monitor their applications and infrastructure through observability, as opposed to traditional monitoring.
Business observability vs application monitoring: What’s the difference?
Observability is the answer for when traditional monitoring won’t suffice, and when modern software teams need to play offense with software.
The devil is in the data: Mitigating cloud migration risks
Moving data is one of the most challenging parts of migration, and where the data is stored mid-migration can have a huge impact on the performance of the applications, New Relic says.
Getting value from software observability
Organisations now routinely mine software performance data to achieve ambitious business results, says New Relic.
Cloud adoption: How do Australia & New Zealand stack up?
"While the cloud is now global, cultural differences will always be reflected in even small ways."
Opinion: How to execute a seamless cloud-initiated digital transformation
New Relic's Lee Atchison says there are a number of barriers for businesses that are going 'all-in' for the cloud.
The four pitfalls of cloud migration
"Migrating to the cloud is easy, right? What could possibly go wrong? There are at least four things I can think of."
3 common mistakes companies make when adopting cloud
Cloud computing is now mainstream. That's a fact, writes Lee Atchison.
Don’t get left behind - cloud and the dangers of feet-dragging
New Relic’s Jill Macmurchy explains exactly how putting off the move to the cloud could negatively impact an organisation’s bottom-line.