Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. By leveraging existing OneAgent instrumentation, customers can get started in minutes with no new instrumentation hurdles.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

MARCH 5, 2025

Fast and efficient log analysis is critical in todays data-driven IT environments. For enterprises managing complex systems and vast datasets using traditional log management tools, finding specific log entries quickly and efficiently can feel like searching for a needle in a haystack.

AWS 217

AWS Azure Best Practices Efficiency 217

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

NOVEMBER 15, 2021

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.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

NOVEMBER 6, 2023

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. How Azure digital transformation helps There are three ways that Microsoft Azure can help organizations do more with less when it comes to organizations’ digital transformation journeys.

Azure 244

Azure Technology Technology Cloud 244

Dynatrace

APRIL 5, 2021

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.

Azure 204

Azure Serverless IoT Lambda 204

Dynatrace

AUGUST 28, 2020

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.

Azure 235

Azure Cloud Tuning Monitoring 235

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems.

Azure 252

Azure AWS DevOps Cloud 252

Dynatrace

JULY 6, 2020

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.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

OCTOBER 3, 2024

By contextualizing data, OpenPipeline enhances the Dynatrace platform’s ability to offer AI-driven insights, analytics, and automation across observability, security, software lifecycle, and business domains. Seamless integration with AWS Data Firehose: address high-impact issues quickly through real-time, high-frequency log analytics.

Cloud 299

Cloud Lambda AWS Analytics 299

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 5, 2023

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.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

FEBRUARY 8, 2021

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. Manually maintaining dependencies among components doesn’t scale.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

APRIL 25, 2023

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. With Davis AI exploratory analytics , Dynatrace gives you a helping hand to understand correlations between anomalies across all the telemetry.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Support diverse analytics workloads. What is a data lakehouse? Query language.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

FEBRUARY 13, 2020

To provide customers with greater efficiency, simplicity and speed as they undergo digital transformation, our latest infrastructure monitoring module leverages the answers-first approach delivered by the AI and advanced automation capabilities at the core of our all-in-one Software Intelligence Platform. Next-gen Infrastructure Monitoring.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is predictive AI?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 246

Artificial Intelligence Analytics Cloud Innovation 246

Dynatrace

NOVEMBER 6, 2023

The move to SaaS and data residency in local markets Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution across the globe. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 264

AWS Azure Tuning Analytics 264

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

OCTOBER 6, 2023

If your typical queries only target a specific use case, business unit, or production stage, ensuring they don’t include unrelated buckets helps maintain efficiency and relevance. Adopting this level of data segmentation helps to maximize Grail’s performance potential. Custom buckets unlock different retention periods.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. However, organizations must consider which use cases will bring them the biggest ROI.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

SEPTEMBER 27, 2024

Build a custom pipeline observability solution With these challenges in mind, Omnilogy set out to simplify CI/CD analytics across different vendors, streamlining performance management for critical builds. Consequently, troubleshooting issues and ensuring seamless software deployment becomes increasingly tricky.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. This is also true for Kubernetes and containers that can spin up and down in seconds.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 21, 2023

Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. In most cases, the backend customers use for OpenTelemetry is either not capable of storing more than 1-5% of their traces, or it is not cost efficient to do so,” Kopp says.

Open Source 246

Open Source Analytics Lambda Metrics 246

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

SEPTEMBER 29, 2021

The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. Networking.

Open Source 334

Open Source Traffic DevOps Cloud 334

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace extends contextual analytics and AIOps for open observability. Digital transformation with AWS: Making it real with AIOps.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. This clinic will walk you through Dynatrace’s log monitoring and analytics capabilities, with a specific focus on Kubernetes and cloud-native architectures.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

APRIL 22, 2022

Next, American Family needed to utilize a single workflow service for event and incident management from multiple sources — such as AWS, Google Cloud Platform, Microsoft Azure, Dynatrace, and other proprietary monitoring services. Step 3: Create a single workflow for unified event management. It also supports custom integrations for APIs.

Cloud 242

Cloud Lambda Serverless AWS 242

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JUNE 14, 2024

Understanding Power BI Definition and Purpose Power BI is a business analytics service that can gather all your data in a single platform and enable users to analyze and visualize easily. Benefits of Power BI The advantages of Power BI are manifold, from its intuitive interface to its ability to handle large datasets efficiently.

Database 130

Database Azure Efficiency Servers 130

Dynatrace

MAY 20, 2020

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. Every metric has metadata properties that are important for efficiently querying data.

Metrics 246

Metrics Operating System Tuning Availability 246