All Things Distributed

MAY 10, 2016

Building your applications with only managed components has become very popular, and AWS Lambda plays a crucial role in that. If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

High Scalability

OCTOBER 19, 2018

Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading). They'll love it and you'll be their hero forever. You can't handle all the quotes that are coming your way.

Internet 123

Internet Internet Scalability Lambda 123

Dynatrace

OCTOBER 8, 2020

Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. and Python via traces.

Lambda 293

Lambda AWS Programming Serverless 293

High Scalability

FEBRUARY 22, 2019

2% : of sales spent by consumer packaged goods companies on R&D (14% for tech); 272 million : metric tons of plastic are produced each year around the globe; 100+ fp s: Google's Edge TPU; 6,000 : bugs per million lines of code; 2.2 PaulDJohnston : Lambda done badly is still better than Kubernetes done well.

Internet 39

Internet Internet Scalability Lambda 39

Dynatrace

APRIL 8, 2020

However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Depending on your application, you may be faced with one of these challenges: Slow garbage collection : This can impact your CPU massively and can also be the main reason for scalability issues.

Speed 165

Speed Code Java Lambda 165

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Dynatrace news. AI-powered answers, provided by?

Lambda 208

Lambda Serverless AWS Mobile 208

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 wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Scalability. The primary challenge being not able to access the underlying infrastructure metrics. Organizations must decide what they’re willing to part with when moving to a serverless environment. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

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

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events. Or explore the recently introduced support for AWS Lambda logs.

AWS 197

AWS Cloud Lambda Analytics 197

Dynatrace

MAY 8, 2023

In turn, this drives the need for increased integration of heterogeneous telemetry data such as metrics, logs, and traces, and intelligent awareness of context across disparate data types. This led to scalability issues, as teams were stuck managing dozens of custom integrations where a small issue could lead to a major problem.

Open Source 206

Open Source Strategy Lambda Metrics 206

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. How does function as a service affect scalability? But what is FaaS? What is FaaS?

Development 250

Development Serverless Best Practices Lambda 250

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Manually pulling metrics from a managed system like Kubernetes can be laborious.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Manually pulling metrics from a managed system like Kubernetes can be laborious.

Architecture 244

Architecture Software Software Development 244

Highly Scalable

AUGUST 20, 2013

In other cases, simple hash join is often sufficient since the buffer is constantly full and does not block the processing: It is worth noting that in-stream processing often deals with sophisticated stream correlation algorithms where records are matched based on scoring metrics, not on field equality condition. Jacobsen and R.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Amazon Lambda.

Lambda 122

Lambda Cloud IoT AWS 122

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. Scalability is a major feature of GCF. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

NOVEMBER 17, 2020

The seamless integration enables enrichment of your OpenTelemetry metrics and traces with insights from the Dynatrace Software Intelligence Platform. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Dynatrace detects and monitors your Lambda functions the same way as any other services.

Analytics 156

Analytics Technology Technology Cloud 156

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Evaluation.

Lambda 98

Lambda Serverless Cache Latency 98

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. The demand for adaptable, highly scalable, and modular application designs has led many developers to move from SOA to a microservices approach.

Architecture 199

Architecture Serverless Azure Programming 199

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