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Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture.
Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Digital transformation 2.0
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.
This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Seeing the value.
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.
Some time ago, we announced monitoring coverage for all Azure Monitor services , as well as the ability to purchase the Dynatrace Software Intelligence Platform through the Microsoft Azure Marketplace. Now, Dynatrace and Microsoft have further deepened their partnership by making Dynatrace for Azure generally available.
What is Azure Functions? 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.
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. Dynatrace news. Operational excellence.
Many organizations are taking a microservices approach to IT architecture. A microservices approach enables DevOps teams to develop an application as a suite of small services. However, in some cases, an organization may be better suited to another architecture approach. What is the monolithic architecture approach?
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.
As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.
Effective application development requires speed and specificity. Applications must work as intended and make their way through development pipelines as quickly as possible. FaaS enables enterprises to deliver on the evolving expectations of fast and furious app development. FaaS vs. monolithic architectures.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.
It is available for macOS, Windows, Linux Distributions, Windows Server 2016, AWS, Google Compute Platform, Azure, and IBM Cloud. You can use Docker for your application development without any limitations. However, it is essential to research the architecture of Docker to take full advantage of its features.
As adoption rates for Azure continue to skyrocket, Dynatrace is developing a deeper integration with the Azure platform to provide even more value to organizations that run their businesses on Microsoft Azure or have Microsoft as a part of their multi-cloud strategy. Dynatrace news. The long way home. The short way home.
At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.
Considering that the big three cloud vendors (AWS, GCP, and Microsoft Azure) all now offer their own flavor of managed Kubernetes services, it is easy to see how it has become ever more prolific in the “cloud-native architecture” space. Like all cloud-native technologies, Kubernetes can be a challenge to test locally.
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.
For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace news.
AI-powered automation and deep, broad observability for serverless architectures. In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers.
To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.
As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. at Venetian Delfino 4006.
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 These were developed by my colleague Rob Jahn and Daniel Semedo from Microsoft. Beyond basic metrics: Detecting Architectural Regressions.
As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. The architects and developers who create the software must design it to be observed. Dynatrace news.
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.
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.
Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Code development also benefits from a serverless approach. Application developers can spin up isolated test environments that pose no risk to current operations. Reduced latency.
Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality. Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. The goal was to promote collaboration between development and operations teams rather than keeping them siloed. Microsoft Azure. What are DevOps engineer tools and platforms.
Digital workers are now demanding IT support to be more proactive,” is a quote from last year’s Gartner Survey Understandably, a higher number of log sources and exponentially more log lines would overwhelm any DevOps, SRE, or Software Developer working with traditional log monitoring solutions.
We’ll further learn how Omnilogy developed a custom Pipeline Observability Solution on top of Dynatrace and gain insights into their thought process throughout the journey. Without detailed insights, organizations risk encountering development downtime and pre-production delays due to slow builds or increased failure rates.
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.
Importantly, Kubernetes also enables developers to build, deliver, and update microservices-based applications flexibly, reliably, and quickly. More dedicated dashboards – including those in development for Istio, LinkerD, Knative. This will provide teams insights from extended log streams for enriched root-cause analysis.
Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. FinOps helps engineering, development, finance, and business teams meet critical key performance indicators (KPIs) and fulfill service-level agreements. There are some challenges with implementing FinOps.
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.”
In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. The white box load testing project setup. a Jenkinsfile. Test Result Analysis.
Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Developing a shared language of service level objectives (SLOs). Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC).
The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response.
Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. 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.
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….
The insightful piece featured on InfoQ delves into the intricacies of Azure Functions’ Cold Starts, illuminating a topic frequently stirring debate within the serverless computing sphere.
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