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What is IT automation?

Dynatrace

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Big data automation tools. How does IT automation work?

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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.

Network 150
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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.

Big Data 238
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325
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Conducting log analysis with an observability platform and full data context

Dynatrace

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Further, business leaders must often determine whether the data is relevant for the business and if they can afford it.

Analytics 196
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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Kubernetes makes spans longer,” Ortner explains.

Analytics 195
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A guide to Autonomous Performance Optimization

Dynatrace

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!