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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363
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OpenTelemetry: Unifying Application and Infrastructure Observability

DZone

Veeramachaneni discusses how OTel is standardizing telemetry data and inspiring new open-source data collectors and workflows that bridge the gap between application and infrastructure monitoring. These vendors didn’t have a lot of incentive to innovate or compete, because they had instrumented such effective mousetraps to lock users in.

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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

Google 268
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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.

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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 217
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Accelerating innovation with Kubernetes and Dynatrace

Dynatrace

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. When it comes to observing Kubernetes environments, your approach must be rooted in metrics, logs, and traces —and also the context in which things happen and their impact on users.

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Managing hybrid cloud infrastructure with an observability platform

Dynatrace

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. How to modernize for hybrid cloud.