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Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. As of October 2024, Dynatrace is available on Microsoft Azure Australia East region, enabling joint customers to maintain a local SaaS presence. The result?
As a strategic ISV partner, Dynatrace and Azure are continuously and collaboratively innovating, focusing on a strong build-with motion dedicated to bringing innovative solutions to market to deliver better customer value. Read on to learn more about how Dynatrace and Microsoft leverage AI to transform modern cloud strategies.
As organizations shift to hybrid cloud environments, there are two platforms really dominating the market and Microsoft Azure is the fastest growing with adoption rates skyrocketing. Let’s dig into what Azure is all about and some of the use cases. What is Azure? What can Azure do for my business? diverse use cases from?
Dynatrace has enhanced its partnership with Microsoft Azure, providing users a quick and easy path to purchasing, configuring, and managing Dynatrace directly inside the Microsoft Azure Portal. Dynatrace is excited to announce this enhancement is now in public preview for any Azure customer to evaluate. Dynatrace news.
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.
To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. Digital transformation is only going to speed up, not slow down, and companies must remain on top of it. The speed of change is only going to accelerate, thus requiring more innovation. Optimization.
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.
So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.
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.
October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions. PALO ALTO, Calif.,
For example, a segment for Service Errors in Azure Region can be applied instantly by selecting it from the dropdown. For example, the Service Errors in Azure Region segments can provide a dynamic list of available regions instead of creating multiple fixed region segments.
More specifically, I’ll demonstrate how in just a few steps, you can add Dynatrace information events to your Azure DevOps release pipelines for things like deployments, performance tests, or configuration changes. Microsoft DevOps Azure is one of the best CI/CD systems and a strategic technical Dynatrace partner.
To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure.
ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Redis on Azure service. The demand for Redis is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.
With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. London (AWS), London (Azure), Frankfurt (AWS) ?,
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. This speeds up your teams’ mean time to identify (MTTI) issues and repair (MTTR), increasing business resiliency to disruptions.
We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.
October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Hosting on Azure for Redis™ service. The demand for Redis™ is skyrocketing across dozens of use cases, particularly for cache, queues, geospatial data, and high speed transactions.
Understanding Execution Speed of the MySQL Slave. Assuming that the SQL Thread and IO Thread on the slave are in running states, it’s possible to understand the relative execution speeds of the master and the slave by monitoring the SBM value. Zero Or Constant Value of SBM. Increasing Values of SBM.
Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more. The post What’s the hype with hyperscale?
Effective application development requires speed and specificity. 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. Dynatrace news. Therefore, many organizations turn to function as a service.
VAPO is available in both Microsoft Azure and AWS. In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said. It’s easy to produce a container that we can rapidly test, then shift to pre-production and production.
A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data lakehouses ingest large structured and unstructured data volumes at a very high speed in their raw, native form. What is a data lakehouse? Data management.
But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. DevOps automation is necessary to increase speed and efficiency in the software development pipeline. Automation is a crucial aspect of achieving DevOps excellence.
We have seen users who joined our preview program “speed up their release validation by 90%”. You have automated tests as part of delivery, monitored by Dynatrace, and you want to automatically validate to speed up your delivery pipeline (Lead Time). And it’s not just the release validation.
The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. ” Three years ago, Tractor Supply Co.
Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. Below is an example workflow from this repo for a basic deployment strategy: The GitHub workflow first sets the Azure cluster credentials using the set context Action.
Bringing physical backups in Percona Backup for MongoDB (PBM) was a big step toward the restoration speed. The speed of the physical restoration comes down to how fast we can copy (download) data from the remote storage. We aim to port it to Azure Blob and FileSystem storage types in subsequent releases. So every minute matters.
And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond
For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system. Speed up your delivery processes by automating your quality gates into your Jenkins, GitLab, ….
Today, the speed of software development has become a key business differentiator, but collaboration, continuous improvement, and automation are even more critical to providing unprecedented customer value. Dynatrace’s version awareness allows you to stay in control despite speeding up application delivery.
Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Unlike tools that rely on correlation and aggregation, the Dynatrace AIOps platform approach enables teams to speed up and automate incident responses. billion in 2020 to $4.1
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. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.
This improves query speeds and reduces related costs for all other teams and apps. Using buckets to query only the data you need significantly speeds up queries and reduces query costs. Keeping these logs separate decreases the data volume for other troubleshooting logs. This allows you to query data from a specific bucket.
One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload.
After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We IT automation speeds code development. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.
While the test step, use case, and thread group name context are helpful we also want to speed up the analysis of individual requests that fail. This header is parsed by Dynatrace and can be used during analysis to differentiate between load test requests and other requests (e.g., from other test tools or real users).
This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR). A data lakehouse combines the structure and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.
With Greenplum’s ability to ingest large volumes of data at high speeds, it makes this database a powerful tool for smart applications that need to interact intelligently based on an unlimited number of unique scenarios. Greenplum is a great database choice for applications looking to mimic human abilities through smart machines.
Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different.
We suddenly had dozens, and then, later, hundreds of Kubernetes clusters running across the three big hyperscalers, and due to speed and cost reasons within our own engineering lab.” So, they see clusters, pods, and workloads for up to hundreds of Kubernetes clusters across AWS, Azure, and GCP—right within the new Kubernetes app.”
Azure Container Instances (ACI) represents a breakthrough in cloud technology, offering a streamlined and cost-effective solution for running containers on Microsoft Azure. What is Azure Container Instances? This is where expert Microsoft Azure consulting projects becomes invaluable.
For data storage alone, Azure offers: Table Storage, CosmosDB, SQL Server, Blob Storage, and more. With the latest release of Azure Table Persistence for NServiceBus, we offer full transactionality across Outbox, Synchronized Storage Session as well as Sagas. Incidentally, this is an ideal way to avoid batch jobs ).
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