Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Additionally, typical SOA models use larger relational databases. How do you monitor microservices?

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

OCTOBER 11, 2021

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 214

Google Cloud Serverless Azure 214

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. Developer Labs, Logging and Metrics We have been continually improving logging and metrics, and revamped the documentation to reflect the latest state of Conductor.

Lambda 189

Lambda Media Open Source Metrics 189

Adrian Cockcroft

JANUARY 29, 2023

This seems reasonable overhead for a real time algorithm that could be applied to histogram data as part of a metric collection pipeline. > > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98

Lambda Latency Cache C++ 98

The Morning Paper

FEBRUARY 6, 2020

It’s a fancy sounding name, but it’s essentially the same design as we’ve been using in enterprise applications for decades now: think application server with an L2 ORM cache sat in front of a relational database. Cloudburst monitors request and service rates (storing metrics in Anna). Evaluation.

Lambda 98

Lambda Serverless Cache Latency 98

The Symphonia

DECEMBER 6, 2017

It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the the industry and Lambda platform both have moved forward a long way since. This year’s re:Invent saw a lot of incremental improvements for Lambda and its related services. We saw some big new products and features from Lambda’s AWS neighbors.

Serverless 40

Serverless Lambda AWS Traffic 40

The Netflix TechBlog

MAY 21, 2019

To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. The metrics relevant to the training and recommendation process are reported to Atlas and visualized using Netflix’s Lumen.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

SEPTEMBER 17, 2019

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. for AWS) Enable AWS CloudWatch Monitoring for additional metrics and MetaData. 4 AWS EFS monitoring.

AWS 127

AWS Monitoring Ecommerce Lambda 127

The Symphonia

MARCH 14, 2018

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Finally, SAR isn’t just the “Lambda Blueprints” catalogue rebranded?—?it’s the Serverless Application Repository (SAR)?—?at at re:Invent 2017. A second question then comes up?

Serverless 40

Serverless AWS Lambda Open Source 40

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JUNE 21, 2018

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

Database AWS Games Latency 167

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda. One of the most exciting technologies we have built lately at AWS is Amazon Lambda. Today Amazon Lambda is entering General Availability. Details on the AWS Blog. The Amazon Elastic File System.

Lambda 122

Lambda Cloud IoT AWS 122