Remove AWS Remove Best Practices Remove Traffic Remove Tuning
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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.

AWS 143
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Scale automatically based on the demand and traffic patterns.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. Spoiler alert: This post focuses on MongoDB 3.6.X tcp_fin_timeout = 30 net.ipv4.tcp_keepalive_intvl

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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization. While the first guardian validates the traffic, the second guardian checks the business transactions generated during the observation period. The functionality is implemented via an automated workflow.

DevOps 183
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Casey Rosenthal (traffic and chaos) Models of Availability.

Tuning 61
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Casey Rosenthal (traffic and chaos) Models of Availability.

Tuning 52
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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration.

Speed 126