Dynatrace

NOVEMBER 22, 2021

With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. AWS Lambda. While this provides greater scalability than on-site instrumentation, it also introduces complexity.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. 3 Log Analytics.

AWS 127

AWS Monitoring Ecommerce Lambda 127

The Netflix TechBlog

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 198

AWS Cloud Lambda Analytics 198

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance. Marz, “Big Data Lambda Architecture”.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Amazon’s enhancements address many day-to-day challenges with running Redis.

Scalability 130

Scalability Analytics Cache AWS 130

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167