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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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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Kubernetes (k8s) provides basic monitoring through the Kubernetes API and you can find instructions like Top 9 Open Source Tools for Monitoring Kubernetes as a “do it yourself guide”. End-user monitoring. PostgreSQL & Elastic for data storage. Dynatrace news. Full-stack observability. End-to-end code-level tracing.

AWS 127
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Dynatrace SaaS release notes version 1.233

Dynatrace

DL/I segment name for DL/I databases. Instead of displaying the Deep monitoring switch as unavailable, it displays the state ( On or Off ) and either Default (with a tooltip for further information) or Manual override (if a state override is set). RUM linking timeouts adjusted in transaction storage. (APM-341299).

Lambda 176
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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Dynatrace news. Engineers often choose best-of-breed services from multiple sources to create a single application.

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What is Google Cloud Functions?

Dynatrace

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable.

Google 217
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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167
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Cloudburst: stateful functions-as-a-service

The Morning Paper

The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. Only now the database is itself a distributed KVS, and the slices of application functionality are much finer-grained. Evaluation.