This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.
Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. What is Lambda? What is Lambda SnapStart?
AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news. Auto scaling.
Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.
AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news. Auto scaling.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
Amazon’s new general-purpose Linux for AWS is designed to provide a secure, stable, and high-performance execution environment to develop and run cloud applications. Saving your cloud operations and SRE teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.
Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.
These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS Lambda. Here are a few of the most popular. Amazon EC2.
Have you ever had to provision 2,500 virtual host instances and 120 Kubernetes clusters in two days? All the infrastructure to run the applications used for the sessions were created using CloudFormation and Lambda. Dynatrace news. True DevOps culture in action! You know it’s a good idea when you get a few dinosaurs. Monitoring.
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. Cloud providers then manage physical hardware, virtual machines, and web server software management.
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. The growth of Azure cloud computing. Dynatrace news. What is Azure Functions?
Seamless integration with AWS Firehose Dynatrace is also enhancing our observability logs offerings for AWS services for cloud-native applications. Dynatrace supports scalable data ingestion, ensuring your observability infrastructure grows with your cloud environment.
Firecracker is the virtual machine monitor (VMM) that powers AWS Lambda and AWS Fargate, and has been used in production at AWS since 2018. The traditional view is that there is a choice between virtualization with strong security and high overhead, and container technologies with weaker security and minimal overhead.
O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •
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. For example, a virtual machine (VM) can replace containers to design and architect microservices. Serverless platforms.
We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.
So much so, that in March 2017, we announced Amazon Connect, which is the result of nearly ten years of work to build cloud-based contact centers at scale to power customer service for more than 50 Amazon teams and subsidiaries, including Amazon.com, Zappos, and Audible. AI has incredible potential in this area.
those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling. Response Times.
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.
OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.
OPN220 Build robotic cloud simulations with ROS and AWS RoboMaker Join Camilo Buscaron, AWS Principal Open Source Technologist, and Katherine Scott, Developer Advocate, Open Robotics in this workshop to use Gazebo, a 3D simulator, and Robot Operating System (ROS) on AWS RoboMaker and learn how to spin up robotic simulations.
Lambda is 4 years old, and clearly one of AWS’ main paths forward, along with machine learning. Lambda, alone, had a treasure trove of updates: Python 3.7, Ruby, C++, and Rust are now Lambda languages directly supported by AWS. Along with Custom Runtimes comes Lambda Layers?—?artifacts And this is fine!
Testsigma is a cloud-based test automation platform. Testsigma is completely cloud-based. You just have to sign up for a free trial account for test creation and execution and leverage its pre-configured setup integrated with Testsigma Lab (Testsigma’s cloud infrastructure). How Testsigma Helps Speed Up Software Release Cycles?
It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.â€Started As businesses grow and demand fluctuates, infrastructure needs to adapt.
Unlike CloudFormation, which was confined to AWS resources, Terraform was designed with a multi-cloud approach in mind. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.A
Powering the virtual instances and other resources that make up the AWS Cloud are real physical data centers with AWS servers in them. For our edge services such as Amazon CloudFront, Amazon Route 53, and AWS Lambda@Edge, we operate over 100 points of presence. Each is its own Availability Zone with its own compartmentalization.
The complexity of modern cloud-native environments is ever-increasing. Visualizing data in context while supporting and automating decisions with causal, predictive, and generative AI—all while providing a seamless experience—is where the future of cloud observability lies. GitHub : Integrate with your GitHub repositories.
In this article, I will describe this latter solution, based on a WordPress application storing files on Amazon Web Services (AWS) Simple Storage Service (S3) (a cloud object storage solution to store and retrieve data), operating through the AWS SDK. Conclusion. rb, ra, yk, il).
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content