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Overseeing SaaS security with AWS AppFabric and Dynatrace

Dynatrace

Modern enterprises today use a myriad of enterprise Software-as-a-service (SaaS) applications and productivity suites to run business operations, such as Microsoft 365, Google Workspace, Salesforce, Slack, Zendesk, Zoom, GitHub, and many more. Leckenby, senior director worldwide alliance sales at Dynatrace.

AWS 246
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 247
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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. What is AWS observability? AWS Lambda.

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Carving an AWS certification path

Dynatrace

Recently, 53 Dynatracers convened in a Zoom room for 5 action-packed hours to take on our first AWS GameDay challenge, an event we participated in to help our developers accelerate their AWS certification path. What is the value of AWS training and certification?

AWS 209
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Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs

Dynatrace

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs.

AWS 218
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Observations on the Importance of Cloud-based Analytics

All Things Distributed

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 135
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!