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This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services.
This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.
We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js and Python via traces.
Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.
We’re therefore excited to see that AWS has adopted the OpenTelemetry standards, which are actively driven by Dynatrace and the largest cloud providers. What is AWS Distro for OpenTelemetry? It has undergone security analysis and testing in accordance with AWS requirements. Seeing is believing. New to Dynatrace?
As of October 2023, the Dynatrace ® platform is available on AWS in Mumbai, enabling customers to maintain a local SaaS presence in India. The move to SaaS and data residency in local markets Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution across the globe.
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 Actionable analytics across the?entire
As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. through our AWS integrations and monitoring support.
PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP). FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Waterfall visualization of all requests.
Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. After several iterations of the architecture and some tuning, the solution has proven to be able to scale.
AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box. Dynatrace news.
AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box. Dynatrace news.
It provides an easy way to select, integrate, and customize foundation models with enterprise data using techniques like retrieval-augmented generation (RAG), fine-tuning, or continued pre-training. Predictive analytics that forecast AI resource usage and cost trends, letting you proactively manage budgets.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Manually maintaining dependencies among components doesn’t scale.
These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. With Davis AI exploratory analytics , Dynatrace gives you a helping hand to understand correlations between anomalies across all the telemetry.
Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.
takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs. are you logged in?
Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
To stay tuned, keep an eye on our release notes. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. New features and enhancements.
Our metric exporters allow for ingestion of OpenTelemetry-instrumented custom metrics into the Dynatrace open analytics and AI platform, giving you precise and actionable analytics across the entire software life cycle. Stay tuned. NET , Java , JavaScript/Node.js , and Python. The checkout cart service, a Node.js
This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.
But take a look at the latest iterations of, for example, AWS Graviton2, which delivered a 40% price/performance boost, and Graviton3, which had an additional 27% price/performance improvement over Graviton2. Huge performance leaps in recent years The top priority is often performance, where ARM resources have improved significantly.
Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Personalized articles in Netflix Help Center powered by Bulldozer.
Detection of Platform-wide Issues Pensive does error classification on individual workflow step failures, but by doing real-time analytics on the errors detected by Pensive using Apache Kafka and Apache Druid, we can quickly identify platform issues affecting many workflows. In the future, we are looking to automate this process.
Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. As always, we want to hear from you regarding what’s working or not working for you.
AWS, however, has taken a significant leap from our last report, where they now average 77.4% AWS was not the only cloud provider to grow – we found that 19.4% of #PostgreSQL cloud deployments are run on AWS Click To Tweet. of PostgreSQL cloud use compared to 55.0% of PostgreSQL hosting. We found that 54.3%
Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing. The use of a cheaper EBS Elastic volume instead of an SSD instance store was an attractive option because AWS allows dynamic increase in EBS volume size without re-provisioning the EC2 node.
We see that with our Amazon customers; when they hear a great tune on a radio they may identify it using the Shazam or Soundhound apps on their mobile phone and buy that song instantly from the Amazon MP3 store. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All postings.
The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.
Organizations can combine cloud-native services to build applications with unique value enabled by the cloud, such as advanced analytics, mobile apps, and chatbots. Infrastructure is provisioned and modified in code, eliminating much of the need for manual installation and tuning. What are cloud-native services?
Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?
AWS Aurora (based on MySQL 5.6) In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. I will compare AWS Aurora with MySQL (Percona Server) 5.6 SSD) we can’t utilize the full potential of IOPS with just one thread. running on an EC2 instance of the same class.
Photo by Adrian of my father’s “round tuit” which I’m hoping will inspire AWS to do something… There’s an old saying that any headline that ends in a question mark can be answered with a “no”. Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda.
Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. AWS for builds. We did this as AWS was cost-prohibitive. We use nodes in different AWS regions to test bandwidth performance consistently. Load Balancers / Reverse Proxy.
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