Dynatrace

APRIL 25, 2023

It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. 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.

Serverless 206

Serverless Lambda Azure AWS 206

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. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.

AWS 227

AWS Lambda Artificial Intelligence Serverless 227

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 141

Serverless Azure Monitoring Lambda 141

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 234

Performance Analytics Mobile Innovation 234

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 259

Cloud Azure Analytics AWS 259

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). 4 AWS EFS monitoring. Full-stack observability. End-to-end code-level tracing.

AWS 127

AWS Monitoring Ecommerce Lambda 127

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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 207

Artificial Intelligence Analytics Storage Government 207

Dynatrace

OCTOBER 6, 2023

Adopting this level of data segmentation helps to maximize Grail’s performance potential. 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.

Artificial Intelligence 260

Artificial Intelligence Analytics Metrics Storage 260

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.

Engineering 180

Engineering Development Infrastructure Cloud 180

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

Dynatrace

AUGUST 24, 2020

Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Further reading about Business Analytics : .

Analytics 239

Analytics Infrastructure AWS Operating System 239

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 167

Cloud Lambda Serverless AWS 167

Dynatrace

AUGUST 21, 2023

Based on the W3C open standard Trace Context , OpenTelemetry standardizes telemetry data from multiple sources, so organizations have the capacity to deeply analyze software behavior and performance. Finally, the enriched observability data increases the overall volume of the data, which can affect application performance. “In

Open Source 194

Open Source Analytics Lambda Metrics 194

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. Davis automatically detects performance anomalies in your applications, services, and infrastructure, as problems. Get started today.

Metrics 213

Metrics Lambda Infrastructure Monitoring 213

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 188

AWS Traffic Architecture Azure 188

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). Dynatrace API. In the Dynatrace menu , go to Queues. APM-325810). APM-333310).

Lambda 192

Lambda Azure Metrics Monitoring 192

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. of #PostgreSQL cloud deployments are run on AWS Click To Tweet.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

AUGUST 24, 2020

Dynatrace AWS m onitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage. And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace. . Digital Business Analytics.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These crucial elements act as conductors in a symphony, coordinating the performance of all aspects related to cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

NOVEMBER 10, 2022

Although redesigning applications sounds daunting, understanding how these architectures work will enable your organization to reap the performance and cost benefits of cloud hyperscalers. These loosely coupled, lightweight services typically perform a single function and can be chained together into an application. Microservices.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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.

Cloud 175

Cloud Open Source Architecture Monitoring 175

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. 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.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. This will get us straight to the application page, where we get more insight on how our front end actually performs.

Metrics 170

Metrics Monitoring Database Network 170

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

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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. Using our new API selectors, you can easily browse the metric hierarchy using wildcards.

Metrics 225

Metrics Operating System Tuning Monitoring 225

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes can also assist with load balancing, helping to ensure applications perform at scale, as well as providing support for authentication and security at the infrastructure level.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Kubernetes can also assist with load balancing, helping to ensure applications perform at scale, as well as providing support for authentication and security at the infrastructure level.

Engineering 52

Engineering Open Source Programming Monitoring 52

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance.

Monitoring 164

Monitoring Metrics Servers Database 164