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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.
This article provides an overview of Azure's load balancing options, encompassing Azure Load Balancer, Azure Application Gateway, Azure Front Door Service, and Azure Traffic Manager. Load balancing is a critical component in cloud architectures for various reasons. What Is Load Balancing?
Breaking monolithic pipelines into event-driven Delivery Choreography. Embrace event-driven auto-remediation with an SLO-based safety net. It’s a free virtual event so I hope you join me. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs.
Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. What is Azure Linux? Why monitor Azure Linux container host for AKS? Resource utilization management.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.
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As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure.
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. Any log event (JSON or plain text) via HTTP REST API.
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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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud.
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. This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. Increased availability.
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email.
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.
Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. Example #2 – Deployment information events.
Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. This is now where Keptn, our Event-Driven Control Plane for Autonomous Cloud Control Plane, comes into the picture! Dynatrace news.
At its heart it uses Istio (for traffic control) and Knative (for event driven tool orchestration) and stores all configuration in Git – following the GitOps approach. Bamboo, Azure DevOps, AWS CodePipeline …. You can also checkout an open source web microservice app and an Azure function app that utilize the Keptn Pitometer Node.js
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Perform serves yearly as the marquis Dynatrace event to unveil new announcements, learn about new uses and best practices, and meet with peers and partners alike. What will the new architecture be? Learn more about Dynatrace and Microsoft in the whitepaper, Why modern, well-architected Azure clouds demand AI-powered observability.
Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub. Dynatrace news.
Dynatrace provides the insights to help teams determine this, while also uncovering a range of additional insights, including event tracking and over-commitment rate. Learn more about the Kubernetes architecture, options for running Kubernetes across a host of environments and the adoption patterns of cloud native infrastructure and tools.
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SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Legacy Profiler "Standard" trace events.
You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. Using an interactive no/low code editor, you can create workflows or configure them as code.
Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.
DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. This architecture also means you are not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.
Architecture. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. Sending and receiving messages from other users. High Level Design. Streaming Data Model.
Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help. Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.
Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. The organization needed to ensure the correlation of all events in a complete end-to-end trace. However, they had numerous custom applications with separate APIs.
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 3: Create a single workflow for unified event management. ski explains.
Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.
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Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. package to build an API layer comprising Azure Functions apps that can be executed by an HTTP trigger from a web, mobile, or desktop client. Creating Azure Functions.
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Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service. Likewise, Kubernetes is both an enterprise platform and managed services with Red Hat OpenShift.
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Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.
AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).
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