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For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Serverless architecture: A primer. AWS serverless offerings.
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? GCF is part of the Google Cloud Platform. How Google Cloud Functions works.
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Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Watch webinar now! The post What are microservices?
Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Watch webinar now! The post What are microservices?
That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A radically different approach to AIOps.
IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. Organizations should demand an all-in-one approach to monitoring cloud platforms and supporting applications and infrastructure. appeared first on Dynatrace blog.
If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.
In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.
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. Serverless platforms. So applications don’t have to wrestle over shared resources during runtime. Service mesh.
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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.
Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud. And Gartner predicts that?
Gatsby Serverless Functions And The International Space Station. Gatsby Serverless Functions And The International Space Station. Step 2: Building A Serverless Function. Paul Scanlon. 2021-07-26T10:30:00+00:00. 2021-07-26T14:03:58+00:00. Exciting Three.js sphere displaying the countries of the world ( Large preview ).
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Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications. Observability in the cloud can be hard to achieve.
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.
Observability platforms are becoming essential as the complexity of cloud-native architectures increases. The open-source observability framework, OpenTelemetry , provides a standard for adding observable instrumentation to cloud-native applications. Watch webinar now!
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. Cost optimization. Performance Efficiency. Reliability.
Traditional debugging approaches, logs, and occasional remote breakpoint instrumentation cant easily keep pace with cloud-native AI deployments, where performance, compliance, and costs are all on the line. How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank?
The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly. These teams are helping customers and partners of all sizes, including systems integrators and ISVs, to move to the cloud. Our AWS EU (Paris) Region is open for business now.
Is Cosmos DB serverless? Is Cosmos DB serverless? People ascribe a couple of different meanings to the word serverless so let’s take a look at both. In that sense, it is serverless. Cosmos DB is available in serverless mode which is ideal for spikes or unpredictable workloads that don’t have sustained traffic.
This release would not have been possible without the trust from customers who adopted preview bits in real production systems and helped us to shape the product with features that matter to our cloud audience. To get an idea of what’s possible, let’s consider two use cases: reliable HTTP endpoints and a cloud scheduler.
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