Curated articles, resources, tips and trends from the DevOps World.
Add OpenTelemetry to your Java or .NET applications on Kubernetes and combine them with Consul service mesh metrics and traces for use with Prometheus and Jaeger. Collecting metrics and traces from your applications can help you monitor and debug your system.
JSON stands for JavaScript Object Notation and is an incredibly important open standard file/data interchange format that is lightweight and easy to understand. The JSON syntax rules are quite simple:
With the release of Kubernetes 1.24 on May 4, for the first time, over five million Kubernetes developers can verify that the distributions they’re using are what they claim to be. That’s because with this release Kubernetes is adopting Sigstore for signing artifacts and verifying signatures.
Enterprises relying on on-premise or cloud Intrusion Detection and Prevention Systems (IDPS) to authenticate users to third-party SaaS apps or internal apps are often challenged with implementing effective access control or authorization.
The data landscape is replete with vendors, industry pundits, and even journalists, espousing the virtues of decoupling storage and compute.
Rafay Systems sponsored this post. Now more than ever, hybrid and multicloud deployments are quickly becoming key enterprise requirements. As Kubernetes adoption in an enterprise grows, effectively managing multicluster deployments becomes increasingly critical to application delivery.
Dynatrace sponsored this post. Developing reliable applications is more important than ever as organizations become increasingly dependent on digital services. Performance degradation and downtime can reduce revenue, increase customer churn and cause reputational damage.
Service mesh by definition is supposed to help reduce the complexity associated with Kubernetes.
InfluxData sponsored this post. Time-series databases like InfluxDB are databases that specialize in handling time-series data, which is data that is indexed by time.
The idea of distributing machine learning is not a new one. Google was one of the first to implement it on a large scale by training Android phones for performing keyboard autocompletion.
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