Dynatrace

APRIL 9, 2025

The data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining data context to deliver instant, cost-efficient, and precise analytics. Dynatrace AutomationEngine.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. AWS re:Invent 2023: IT automation in AWS environments through a multipronged AI approach In almost every industry, generative AI has become a key topic.

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

NOVEMBER 11, 2021

Given the importance of this conversation for various organizations, IT modernization is the focus of AWS re:Invent 2021. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 246

AWS Cloud Lambda Azure 246

Dynatrace

NOVEMBER 6, 2023

As of October 2023, the Dynatrace ® platform is available on AWS in Mumbai, enabling customers to maintain a local SaaS presence in India. 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.

AWS 264

AWS Azure Tuning Analytics 264

Dynatrace

MARCH 5, 2025

The certification focuses on accuracy and transparency in calculating greenhouse gas (GHG) emissions for AWS, Azure, GCP, and on-premises host instances. The certification results are now publicly available. If you’re doing one of these you’re amplifying the other.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

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. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

OCTOBER 3, 2024

Seamless integration with AWS Data Firehose: address high-impact issues quickly through real-time, high-frequency log analytics. Dynatrace support for AWS Data Firehose includes AWS Lambda logs, Amazon Virtual Private Cloud (VPC) flow logs, Amazon S3 logs, and Amazon CloudWatch. GitHub : Integrate with your GitHub repositories.

Cloud 299

Cloud Lambda AWS Analytics 299

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What can we move?

Cloud 264

Cloud Artificial Intelligence Performance AWS 264

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. All log streams from pods in Kubernetes environments.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

MARCH 8, 2022

These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We With this announcement, Dynatrace delivers software intelligence as code, including broad and deep observability, application security, and advanced AIOps (or AI for operations) capabilities.

Code 246

Code Software Software Serverless 246

Dynatrace

FEBRUARY 1, 2024

The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 299

Engineering Efficiency Azure Monitoring 299

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization. million in 2020. Managed orchestration. Serverless container services.

Serverless 297

Serverless Azure Hardware Transportation 297

Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Amazon Web Services (AWS). Automated DevOps throughout AWS hybrid-cloud environments. Microsoft Azure.

DevOps 246

DevOps Engineering Testing Open Source 246

DZone

SEPTEMBER 21, 2023

However, as enterprises grow and their infrastructure becomes more complex, a single Kubernetes cluster on a single cloud provider may no longer suffice, potentially leading to limitations in redundancy, disaster recovery, vendor lock-in, performance optimization, geographical diversity, cost-efficient scaling, and security and compliance measures.

Azure 202

Azure Games AWS Cloud 202

Dynatrace

AUGUST 2, 2021

Increase operational efficiency : Hyperscale reduces the layers of control, making it easier to manage modern computer operations. 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?

Azure 264

Azure Cloud Google AWS 264

DZone

OCTOBER 7, 2024

As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 242

Cloud Lambda Serverless AWS 242

Dynatrace

NOVEMBER 15, 2021

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 Accelerated innovation.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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

FEBRUARY 28, 2024

VAPO is available in both Microsoft Azure and AWS. It’s helping us build applications more efficiently and faster and get them in front of veterans.” If you’d like to know more about how Dynatrace can help your government agency achieve this level of optimal performance quality, efficiency, and security, please contact us.

Monitoring 246

Monitoring Artificial Intelligence Performance Healthcare 246

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Unnecessary data transfer. On-demand payment agreement. ” But Dynatrace goes further.

Best Practices 278

Best Practices Strategy Cloud AWS 278

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Cultural shift.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Cultural shift.

Architecture 246

Architecture Software Software Development 246

Scalegrid

MAY 13, 2020

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. So who’s using Greenplum today?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. A data lakehouse, therefore, enables organizations to get the best of both worlds.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 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. 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.”

Engineering 246

Engineering Development Infrastructure Cloud 246

Scalegrid

JUNE 11, 2019

This allows organizations to share resources between public and private clouds to improve their efficiency, security, and performance. with a surprising lead over Azure at 10.8%. A hybrid cloud is a mixture of both public cloud and private cloud solutions, integrated into a single infrastructure environment.

Open Source 55

Open Source Database Cloud Infrastructure 55

Dynatrace

JANUARY 31, 2024

As an example, in early preview usage, AWS GuardDuty events were reduced by 84% by filtering out security-irrelevant events, which reduced cost and alert noise at the same time. OpenPipeline extracts data with context and transforms it into more efficient formats, for example, logs to metrics.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. So applications don’t have to wrestle over shared resources during runtime. This helps to keep individual services more lightweight.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

APRIL 15, 2022

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. Operations teams can run more efficiently.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

JULY 8, 2019

Each of these factors impacted data quality, time to market, and slowed down our ability to innovate efficiently for our customers. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. Cloud effectively solves each of these major issues.

Cloud 203

Cloud Hardware Testing Logistics 203

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

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

FEBRUARY 9, 2021

The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. Seamless integration with collaboration software such as Jira, Slack, and Trello boosts team efficiency driving more value with less effort.

Software 221

Software Software Technology Technology 221

Dynatrace

AUGUST 21, 2023

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. This visibility extended across their distributed environment, including AWS Lambda and Microsoft Azure.

Open Source 246

Open Source Analytics Lambda Metrics 246

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience.

Cloud 241

Cloud Traffic Best Practices Strategy 241