Lambda Scalability Speed 
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.
Dynatrace
OCTOBER 7, 2021
Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. Scalability. Finally, there’s scalability. Lambda functions can be written in the language of your choice, and the service also supports container tools. Reliability.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Dynatrace
AUGUST 11, 2022
Effective application development requires speed and specificity. 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. Dynatrace news. What is FaaS?
High Scalability
SEPTEMBER 7, 2018
sapessi : Lambda simplifies concurrency at the frontend, enforcing one event per function at a time. 5% might not sound like much, but it’s a huge figure when you consider that many VM optimisations aim to speed things up by 1% at most. This makes it easy to reason about complex distributed system. It was a quiet week this week.
All Things Distributed
JULY 14, 2015
DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.
All Things Distributed
APRIL 9, 2015
At Amazon we have hundreds of teams using machine learning and by making use of the Machine Learning Service we can significantly speed up the time they use to bring their technologies into production. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.
Expert insights. Personalized for you.
345 
Let's personalize your content