Dynatrace
APRIL 5, 2021
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.
Dotcom-Montior
NOVEMBER 11, 2020
those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. 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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Dynatrace
JANUARY 26, 2021
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform.
Dynatrace
AUGUST 11, 2022
Cloud providers then manage physical hardware, virtual machines, and web server software management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. How does function as a service work?
Dynatrace
DECEMBER 8, 2021
You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Modern operating systems provide capabilities to observe and report various metrics about the applications running. The last aspect is the centralization of compute.
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.
Expert insights. Personalized for you.
175 
Let's personalize your content