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. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

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. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 203

Serverless Lambda Azure AWS 203

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

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

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. A resource guide to Dynatrace and AWS for AWS re:Invent.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Scalegrid

JUNE 6, 2019

June 6, 2019 – ScaleGrid , the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud. PALO ALTO, Calif., Start a free MySQL trial to see how ScaleGrid can help you optimize your deployments.

AWS 191

AWS Cloud Open Source Virtualization 191

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

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. Dynatrace OneAgent has an internal mechanism that ingests only necessary log data. This feature is readily available on both the Dynatrace tenant and Environment ActiveGate.

Serverless 219

Serverless Analytics AWS Azure 219

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

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. 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.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

NOVEMBER 17, 2020

OpenTracing data is seamlessly integrated by PurePath 4, which also unlocks more than 30 pre-instrumented technologies. PurePath 4 supports serverless computing out-of-the-box, including Kubernetes services from Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP).

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 258

Cloud Azure Analytics AWS 258

O'Reilly

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases.

Azure 145

Azure Social Media Programming AWS 145

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Some vendors have just bolted on individual capabilities which often leads to six data silos. PostgreSQL & Elastic for data storage. AWS EKS for Integration and Production. MaaSS for Business: Data per SaaS-Tenant. End-user monitoring. REDIS for caching.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

APRIL 21, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Log data acquisition. Log data analysis. Log data alerting. Configuration API for AWS and Azure supporting services. See SQL data source. See what’s new in the Dynatrace version 1.239.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Logs represent event data in plain-text, structured or binary format. Traces help find the flow of a request through a distributed system.

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

AUGUST 21, 2023

OpenTelemetry provides a standard way to instrument and collect telemetry data so you can get normalized data from different monitoring solutions. This uniform approach to collecting data helps you make sense of these different viewpoints so you can tell just what happened and what to do about it.

Open Source 192

Open Source Analytics Lambda Metrics 192

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.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

MARCH 14, 2024

Implementing a hybrid cloud solution involves careful decision-making regarding application and data placement, migration strategies, and choosing compatible cloud service providers while ensuring seamless integration and addressing security and compliance challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process. We’ve seen a doubling of Kubernetes usage in the past six months,” Steve said.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

FEBRUARY 12, 2024

When organizations cross-validate with observability, security, and synthetic data, evaluation times shrink from days to minutes. With Dynatrace, teams can focus on other data like potential risks or pull data from third parties and get the answers they need—not just the data.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

JANUARY 20, 2022

end-of-support for RUM data. for Dynatrace SaaS RUM data. end-of-support for RUM data. Azure supporting services (Synapse Analytics). Resolved minor data inconsistencies between multidimensional analysis and Data explorer involving long-lasting requests. (APM-343328). Announcements. Masking v1.

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. New analytics view for message queues. “Data explorer” metric selector list no longer persists after browser back button is selected. (APM-331871). to Python 3.8.

Lambda 190

Lambda Azure Metrics Monitoring 190

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Logs represent event data in plain-text, structured or binary format . This type of data can be extended by adding additional meta-information, like real user experience data and topology details. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

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

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. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Stateful applications — or those that manage and store data directly — create risk and complexity. Administrators get direct insight into every service without scanning through screen after screen of log data.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 15, 2023

In general, cloud application security involves authentication and access control, data encryption, identity and user management, and vulnerability management. Combining cloud application security and observability data into a unified analytics platform is beneficial for organizations to improve their overall application security posture.

Cloud 174

Cloud Open Source Architecture Monitoring 174

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

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 224

Metrics Operating System Tuning Monitoring 224