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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>
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.
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. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.
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. 3 End-to-end distributed trace including Azure Functions. Stay tuned for updates.
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. AI-powered answers and additional context for apps and infrastructure, at scale.
Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS).
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. Cloud-hosted managed services eliminate the minute day-to-day tasks associated with hosting IT infrastructure on-premises.
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 […].
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. billion in 2020 to $4.1 Optimized system performance.
As a SaaS vendor, Dynatrace carefully manages its deployments across different regions, assuring the efficient and optimal use of infrastructure to serve and support Dynatrace platform customers. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).
Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.
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.
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.
The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. A broad range of infrastructure components, open data frameworks, mobile platforms and frameworks (iOS, Android, Flutter, Xamarin, React, and others), and many more are also fully supported.
Dynatrace Cloud Automation adds an enterprise-grade control plane for completely automated application lifecycle orchestration, with open integrations into your favorite DevOps tools for delivery, infrastructure, and operations automation such as Jenkins, Azure DevOps, Argo, Spinnaker, ServiceNow, Ansible, xMatters, Jira, Slack, and many others.
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.
Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Immutable infrastructure. Default to managed services.
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. Heading over to `Infrastructure` / `Hosts` in your dashboard, you should now have an entry for the host where you installed OneAgent.
And they can do useful work, particularly if fine-tuned for a specific application domain. Nothing is more discouraging than the idea that it will take tens of millions of dollars to train a model and billions of dollars to build the infrastructure necessary to operate it. What about computing infrastructure?
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. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) Which Model?
Setting up clear rules for managing your cloud infrastructure is key to keeping things from getting out of hand. Adopting Infrastructure as Code (IaaC) makes transitioning to a multi-cloud architecture more efficient, allowing streamlined setup processes. Scalegrid: Your Multi-Cloud Strategy Solution ScaleGrid.io
So if they can’t beat ‘em in the DBaaS space, they often feel like they have to join ‘em — to the tune of total stack sharing or some proprietary arrangement. The effects have hit cloud vendors who can’t possibly compete with MongoDB. Is MongoDB free for commercial use? Is MongoDB an open source NoSQL database?
those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Scalability. Monitoring.
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. AWS speakers: Wafae Bakkali, Isha Dua
Infrastructure Optimization. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. What Infrastructure Do You Use? Video Transcoding. Permissions. Hybrid Sync.
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