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This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.
Here’s a quick look at what’s new this month: MongoDB Now on AWS, Azure, and Google Cloud We’re excited to announce that you can now deploy and manage MongoDB clusters on AWS, Azure, and Google Cloud. Stay tuned for more updates! <p>The </p>
Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. 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.
Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. 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. Dynatrace news. All log streams from pods in Kubernetes environments.
Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. Over the past few years, Dynatrace has been a keen voice in the field of DevOps and provided enterprise knowledge and expertise in the shape of Keptn, the open-source, cloud-native, lifecycle orchestration control plane developed as a CNCF sandbox project.
New cloud-native technologies make observability more important than ever…. Dynatrace PurePath 4 extends automatic distributed tracing to OpenTelemetry and the latest cloud-native technologies. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. This is where Dynatrace comes into play.
As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. You can find the complete matrix of our support here.
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. 3 End-to-end distributed trace including Azure Functions. Stay tuned for updates. Dynatrace news. New to Dynatrace?
Azure—Abu Dhabi. Azure—Cape Town. Azure—Dubai. Azure—Zurich. We add new locations as soon as our cloud vendors make new regions available for public use. We’ll stay up-to-date with the new regions offered by our supported cloud vendors and also work on adding new vendors. These are: AWS—Bahrain.
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. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.
In order for your WordPress website to be able to access, store and retrieve the data in your MySQL database, it needs to be hosted online through a cloud computing service. Managing a database is hard, as it needs continuous updating, tuning, and monitoring to ensure the performance of your website. Stay tuned!
Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly? Declarative APIs.
We’re now proud to announce the first set of fully integrated, worldwide, multi-cloud, and high-availability public locations for HTTP monitoring. Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. London (AWS), London (Azure), Frankfurt (AWS) ?,
The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.
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.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.
This article will explore automatic index advisor (CREATE_INDEX, DROP_INDEX) for Azure SQL Database. Introduction Azure SQL Database enables its users to focus on database objects, tuning queries without managing the underlying infrastructure resources. These indexes help the query […].
To stay tuned, keep an eye on our release notes. Cloud Foundry transition to Settings 2.0. 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.
Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?
My goal is always to deliver tangible best practices that can be implemented today, and that can help teams transform their organization to true software-centric, digital cloud-native businesses. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.
Today we’re happy to announce, that with the release of Dynatrace version 1.198 (SaaS and Managed), auto-adaptive baseline extends beyond application performance (APM) metrics to include thousands of infrastructure and cloud metrics as well. Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Custom log metrics.
Easily leverage Dynatrace for cloud platforms, open data frameworks, and other natively supported technologies. The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. So please stay tuned for updates. . New to Dynatrace? .
Well, fret no more—we’re happy to announce fresh additions to our cloud location offerings! Full range of Alibaba Cloud-based locations available now! These seven new additions to the Alibaba Cloud have expanded our current set of public synthetic monitoring locations: Frankfurt. New Azure region available!
Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.
Dynatrace MaaS is an integral part of adopting Autonomous Cloud Enablement best practices, where we look at automating everything with, and around, Dynatrace. Another use case already implemented by customers is automated application onboarding, delivering monitoring-as-a-service for private and public clouds.
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.
Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating Plan Explorer functionality inside of Azure Data Studio. In order to access the Plan Explorer extension, you need to create a free SentryOne Cloud account and agree to our EULA.
Thanks to projects such as OpenTelemetry , which promotes the standardization of data collection, and W3C trace-context , built-in telemetry will soon become a must-have feature of cloud-native software. I’ll share more details about our work in the coming weeks, so stay tuned! 2) Distributed traces. What’s next?
With role-based governance for large global teams, automatic enterprise-wide deployment and full-stack coverage across infrastructure, cloud platforms, and applications, Dynatrace is made for the most demanding enterprise environments. Stay tuned and watch for the new functionalities in your IdP Dynatrace applications. Dynatrace news.
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.
Microsoft has introduced a significant enhancement to its Azure Functions platform with the Flex Consumption plan, designed to handle high HTTP scale efficiently. In practical tests, Azure Functions Flex demonstrated the ability to scale from zero to 32,000 RPS.
For example, you can choose the public cloud storage type – gp3, io2, etc, or set file system. Regional disks Regional disks are available at Azure and Google Cloud but not yet at AWS. Public clouds provide instances with NVMe SSDs that can be utilized in k8s with tools like OpenEBS , Portworx , and more.
It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. And that’s where Dynatrace OneAgent comes in. What is OneAgent?
Last year, I got together with one of my dev teams here – they call themselves the SQL Injectors – to talk about the possibility of replicating SentryOne Plan Explorer functionality inside of Azure Data Studio. In order to access the Plan Explorer extension, you need to create a free SentryOne Cloud account and agree to our EULA.
The same model will run in the cloud at a reasonable cost without specialized servers. And they can do useful work, particularly if fine-tuned for a specific application domain. Amazon Web Services, Microsoft Azure, Google Cloud, and many smaller competitors offer hosting for AI applications.
The company also releases MongoDB Atlas, promoting it as the most cost-effective way to run MongoDB in the Cloud. Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) The effects have hit cloud vendors who can’t possibly compete with MongoDB. Is MongoDB free for commercial use?
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. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.
Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu. Saturday Sessions.
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. When code isn’t in use, the cloud providers typically throttle it all the way down.
This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. I’ve written before about how to tune out retry storms. For an example of an unintended consequence, let’s say the result of your optimization project is spare capacity at a cloud provider.
In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%
Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. This session revisits the pillar and its best practices.
Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Migration to cloud. Cloud Platform.
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