Dynatrace

NOVEMBER 17, 2020

Dynatrace has continuously extended and improved PurePath to the point where it now provides industry-leading transaction capturing and code-level analysis for the broadest set of technologies, with some additional and unique capabilities: Frontend to backend. Automatic topology analysis. Near-zero overhead.

Analytics 154

Analytics Technology Technology Cloud 154

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 258

Cloud Azure Analytics AWS 258

Dynatrace

APRIL 21, 2022

Log data analysis. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. Problem detection and analysis. APM-362217).

Azure 212

Azure Metrics AWS Monitoring 212

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

SEPTEMBER 17, 2019

Cluster and container Log Analytics. AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Query language.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Dynatrace root cause analysis documentation . Further reading about Business Analytics :

Analytics 237

Analytics Infrastructure AWS Operating System 237

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

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

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 165

Cloud Lambda Serverless AWS 165

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Resolved minor data inconsistencies between multidimensional analysis and Data explorer involving long-lasting requests. (APM-343328). Otherwise, Session Replay will stop working once Dynatrace SaaS version 1.238 is live. Masking v1. Masking v2. See Available metrics. APM-340076).

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

FEBRUARY 12, 2024

It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks. 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 178

Engineering Development Infrastructure Cloud 178

Dynatrace

AUGUST 24, 2020

Based on th is analysis , these systems can take actions such as alerting or remediation. Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. Dynatrace root cause analysis documentation . Digital Business Analytics.

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. The release cadence is rapid, sometimes daily or even multiple times per day.

Cloud 173

Cloud Open Source Architecture Monitoring 173

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% of #PostgreSQL cloud deployments are run on AWS Click To Tweet.

Strategy 182

Strategy Cloud Java Open Source 182

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. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 168

Metrics Monitoring Database Network 168

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally. What is meant by the workload in computers?

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. The top certification was for AWS (3.9%

Azure 145

Azure Social Media Programming AWS 145

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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

JUNE 1, 2021

Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Business KPIs and user journey analysis (for example, login to check out) to optimize user experiences and provide transparency into how changes impact KPIs. User experience and business analytics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

Scalegrid

JUNE 11, 2019

Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. In our last analysis under the Cloud Infrastructure breakdown, we analyze which cloud providers are most popular for open source database hosting: AWS is the #1 cloud provider for open source database hosting, representing 56.9%

Open Source 55

Open Source Database Cloud Infrastructure 55

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Amazon and AWS Ascendant. If Microsoft and Google really are coming on strong, they aren’t dislodging Amazon and AWS.

Cloud 141

Cloud Serverless AWS Architecture 141

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? Data analysis showed a similar pattern: 70% total; 32% using AI, 38% experimenting with it. But they may back off on AI development.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. Data interdependence. Level of concurrent reads.

Architecture 52

Architecture Cache Azure Storage 52