Dynatrace

OCTOBER 3, 2024

The complexity of modern cloud-native environments is ever-increasing. Visualizing data in context while supporting and automating decisions with causal, predictive, and generative AI—all while providing a seamless experience—is where the future of cloud observability lies.

Cloud 299

Cloud Lambda AWS Analytics 299

Dynatrace

NOVEMBER 29, 2024

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. What’s next Next, the enhanced data separation and encryption features are planned for release to all customers on Azure and then to all customers on Google Cloud.

Storage 246

Storage AWS Azure Architecture 246

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

FEBRUARY 4, 2025

In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!

Development 235

Development Analytics Code Architecture 235

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 264

Analytics Social Media Metrics Design 264

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Real-time anomaly detection.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

FEBRUARY 9, 2021

However, today’s highly dynamic cloud-native environments with containers, microservices, and platforms like Kubernetes, make it more challenging to ensure that applications are working as expected and that customers are adopting new features and generating conversions. Achieve observability at scale with complete technology coverage.

Analytics 276

Analytics Mobile Performance Monitoring 276

DZone

OCTOBER 28, 2024

We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. It translates high-level business intent into network policies to configure the underlying network.

Network 162

Network Hardware Internet Internet 162

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.

AWS 246

AWS Cloud Lambda Analytics 246

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. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 246

Design Storage Programming Analytics 246

Dynatrace

SEPTEMBER 27, 2024

Carbon Impact leverages business events , a special data type designed to support the real-time accuracy and long-term granularity demands common to business use cases. Some use cases benefit from dashboards or ad-hoc analytics, complementing the insights from Carbon Impact.

Energy 246

Energy Infrastructure Cloud Best Practices 246

Dynatrace

APRIL 10, 2023

Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. ” Three years ago, Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Analytics 165

Analytics Games Innovation Metrics 165

Dynatrace

AUGUST 27, 2020

Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS IoT Analytics. Dynatrace news. Amazon Neptune.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

FEBRUARY 24, 2025

Regardless of their role, every business process is designed to improve business outcomes. Most organizations have hundreds of business processes across these four categories, supported by IT systems through a mix of on-premises, cloud, and SaaS solutions. These benefits come from robust process analytics, often augmented by AI.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

DECEMBER 21, 2023

How can you reduce the carbon footprint of your hybrid cloud? Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. energy-efficient data centers—cloud providers—achieve values closer to 1.2.

Cloud 264

Cloud Energy Best Practices Cache 264

Dynatrace

NOVEMBER 6, 2023

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. The benefits of migrating on-premises workloads to the Cloud become evident quickly. Observability is inherent to any cloud strategy. Thoughtful reinvestment. Observability with AI and automation.

Azure 244

Azure Technology Technology Cloud 244

Dynatrace

APRIL 26, 2023

Cloud-native applications require observability and security that can scale, flex, and respond instantaneously. Dynatrace was built for this moment, and we’re excited to announce the Dynatrace Platform Subscription (DPS) —modern pricing with flexibility and transparency for cloud environments.

Cloud 246

Cloud Best Practices Traffic Infrastructure 246

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

SEPTEMBER 5, 2024

Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. Seamless integration with AWS Firehose Dynatrace is also enhancing our observability logs offerings for AWS services for cloud-native applications.

Innovation 290

Innovation AWS Analytics Storage 290

Scalegrid

OCTOBER 18, 2024

Web-Based or Desktop: Does the tool offer both desktop and web-based versions for flexible access, particularly in remote or cloud environments? Data visualization and analytics tools with a direct integration with Tableau are possible. An additional cloud feature facilitating project-based team collaboration.

Open Source 147

Open Source Database Cloud Operating System 147

Dynatrace

APRIL 19, 2024

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. With Automation Engine, they were able to call the cloud provider’s API to trigger the desired resizing action.

AWS 264

AWS Analytics Cloud Monitoring 264

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Digital Business Analytics.

Analytics 305

Analytics Infrastructure AWS Operating System 305

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. This alleviates management issues for customers, as management is now supported by Google Cloud.

Google 246

Google Metrics Cloud Analytics 246

Dynatrace

JULY 9, 2024

It should be open by design to accelerate innovation, enable powerful integration with other tools, and purposefully unify data and analytics. Enter Grail-powered data and analytics. Grail makes converging real-time, historical, and predictive analytics possible on a single platform.

Analytics 264

Analytics Innovation Availability Design 264

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. It’s based on cloud-native architecture and built for the cloud.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. 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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 1, 2021

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.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JULY 29, 2024

Security concerns are soaring with the rise of generative AI and cloud-native tech. The AI boom is pushing DevSecOps teams across industries to the limit as they struggle to secure increasingly complex cloud applications against expanding attack surfaces. AI observability accelerates AI benefits.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

NOVEMBER 10, 2022

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.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 30, 2021

Hosted and moderated by Amazon, AWS GameDay is a hands-on, collaborative, gamified learning exercise for applying AWS services and cloud skills to real-world scenarios. Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. Core AWS certifications.

AWS 246

AWS Best Practices Cloud Analytics 246

Dynatrace

JULY 24, 2024

IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Dynatrace is designed to scale easily across the entire Kubernetes stack. Learn more about the new Kubernetes Experience for Platform Engineering.

Availability 279

Availability Infrastructure Metrics Hardware 279