Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 13, 2020

During his demo, Andreas Lehofer, Dynatrace Chief Product Officer, explained that with this announcement, Dynatrace has now broadened our coverage of AWS and Amazon services, and how logs-to-metrics conversion extends the benefits of our AI-powered monitoring and the value we deliver to customers.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. 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.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. This process can delay deployments or cause developers to skip security testing completely to meet project deadlines.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Smashing Magazine

AUGUST 25, 2022

What Makes A Good Video Processing Solution? The media solution should be able to find your videos in your current process — when videos are added to the cloud, they should be automatically processed into streams. Last but not least, analytics. Components in an end-to-end video processing platform.

Media 106

Media Speed Network Analytics 106

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. In two clicks, he added Azure App Services Plan.

Azure 170

Azure AWS DevOps Cloud 170

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 136

Azure Serverless IoT Lambda 136

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 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Simplify error analytics.

Serverless 234

Serverless Azure Monitoring Lambda 234

Dynatrace

APRIL 21, 2022

If you still use the legacy version of Log Monitoring ( Log Monitoring v1 ), the Log Monitoring v1 documentation is still available, but we strongly encourage you to switch to the latest Dynatrace Log Monitoring version and gain direct access to the log content of all your mission-critical processes. Kubernetes/OpenShift workload/pod details.

Azure 212

Azure Metrics AWS Monitoring 212

Scalegrid

JANUARY 3, 2020

ScaleGrid provides full admin access to your MySQL deployments – this makes it easier to integrate the existing MySQL ecosystem of tools with your ScaleGrid MySQL deployments on AWS or Azure. Grafana can be used with it to build dashboards that help visualize this data in a way that is easy to interpret and utilize.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

AUGUST 12, 2020

x runtime versions of Azure Functions running in an Azure App Service plan. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Azure Functions in a nutshell. Simplify error analytics.

Serverless 140

Serverless Azure Monitoring Lambda 140

Dynatrace

OCTOBER 6, 2023

Permissions based on DQL fields and security context To implement this in the Log Management and Analytics context, you can create policies with additional clauses that provide access. Another example would be a business unit admin who needs to have access to departmental data across buckets.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. A pivotal element of any hybrid cloud strategy is adhering to regulatory requirements and compliance standards specific to an industry.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 17, 2020

PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP). FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. Waterfall visualization of all requests.

Analytics 154

Analytics Technology Technology Cloud 154

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. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Digital Business Analytics.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). WeThe Detected processes page has been clarified. Time aggregation corrected for `GC time` chart on process group instance page. (APM-343594). File descriptors metric now correctly aggregates PIDs on host’s process list and process details page. (APM-341616).

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Query language.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Scalegrid

OCTOBER 7, 2019

AWS, however, has taken a significant leap from our last report, where they now average 77.4% AWS was not the only cloud provider to grow – we found that 19.4% This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This leaves our last cloud provider – Microsoft Azure, who represented 3.2%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Ortner reviewed the process of solving these issues. “We

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

JUNE 15, 2021

The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” Fact #1: AWS EC2 outage properly documented. There really was an outage and AWS did a great job notifying their users about any service disruptions via their AWS Service Health Dashboard. Ready to learn more? Then read on!

AWS 186

AWS Traffic Architecture Azure 186

Dynatrace

DECEMBER 2, 2021

New analytics view for message queues. Fixed an issue in which the Client IP of an AWS Lambda invoked via API Gateway and monitored with OneAgent for AWS Lambda (Python, Node, Java) was additionally redundantly displayed as proxy IP. (APM-325810). Corrected issue with process group monitoring overrides. Dynatrace API.

Lambda 190

Lambda Azure Metrics Monitoring 190

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. Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. 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.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. This leads us to the process page of our specific Apache instance.

Metrics 168

Metrics Monitoring Database Network 168

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 166

Cloud Lambda Serverless AWS 166

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. To this vital function is workload automation which optimizes scheduling, execution, and monitoring processes for each individual task or process within cloud-based workflows.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 10, 2022

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. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

Dynatrace

OCTOBER 1, 2021

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363