Dynatrace

AUGUST 12, 2020

Dynatrace is thrilled to announce the General Availability of support for both the 2.x x runtime versions of Azure Functions running in an Azure App Service plan. Azure Functions in a nutshell. Azure Functions is the serverless computing offering from Microsoft Azure. Simplify error analytics.

Serverless 144

Serverless Azure Monitoring Lambda 144

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL.

Azure 151

Azure Cloud Big Data Virtualization 151

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. Available as an agent installer). Application Insights – Collects performance metrics of the application code.

Azure 140

Azure Artificial Intelligence Metrics Innovation 140

Dynatrace

MARCH 6, 2024

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). “That means making it available, resilient, and secure,” Grabner said.

Engineering 248

Engineering Development DevOps Infrastructure 248

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

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

FEBRUARY 16, 2023

And it is making it more and more difficult for all of us to manage that wealth of data,” said Rick McConnell, CEO of Dynatrace, at the annual Perform conference in Las Vegas. “… We need automation and observability to drive and address that issue.” You have to get automation and analytical capabilities.”

Artificial Intelligence 203

Artificial Intelligence Analytics Cloud Innovation 203

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. Manually maintaining dependencies among components doesn’t scale.

Cloud 262

Cloud Azure Analytics AWS 262

Dynatrace

OCTOBER 6, 2023

Adopting this level of data segmentation helps to maximize Grail’s performance potential. Although this initially only includes the default bucket, you might also include other buckets (if these are available to the user). Security context rule management is available via settings In the Dynatrace web UI and API.

Artificial Intelligence 268

Artificial Intelligence Analytics Metrics Storage 268

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 212

Cache Azure Infrastructure Monitoring 212

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

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. What is predictive AI? What is AIOps?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Why perform exclusion at two points? Everything is available through a REST API (application programming interface), but access to that API must be secure.

Design 201

Design Storage Programming Analytics 201

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. You'll see the types referenced as Family in the Azure Portal when sizing a VM. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76

Azure Benchmarking Storage Virtualization 76

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 190

Engineering Development Infrastructure Cloud 190

Dynatrace

AUGUST 24, 2020

And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. Further reading about Business Analytics : .

Analytics 249

Analytics Infrastructure AWS Operating System 249

Scalegrid

JUNE 6, 2019

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.

AWS 191

AWS Cloud Open Source Virtualization 191

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. The parameter Billed Duration is only available in logs , so it makes sense to extract it from your logs so that you can keep an eye on your cloud costs.

Metrics 223

Metrics Lambda Infrastructure Monitoring 223

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 195

Infrastructure Open Source Operating System Cloud 195

Dynatrace

DECEMBER 2, 2021

These pages are now available to be used in security policies: Settings > Anomaly detection > Applications. Settings > Maintenance windows > Monitoring, alerting and availability. New analytics view for message queues. Details are available for ActiveMQ, Apache Kafka, IBM MQ, RabbitMQ, and Tibco EMS.

Lambda 203

Lambda Azure Metrics Monitoring 203

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. All rely heavily on utilizing allocated portions from existing pools made available through specific providers as part of their service offerings.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 15, 2021

The subject line said: “Success Story: Major Issue in single AWS Frankfurt Availability Zone!” The problem started at 1:24PM PDT, with the services starting to become available again about 3 hours later. Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS).

AWS 198

AWS Traffic Architecture Azure 198

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

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. Step-by-step guide: SRE-driven performance analysis with Dynatrace. Kubernetes, OpenShift, Cloud Foundry or Azure Web Apps then install the OneAgent by following the OneAgent PaaS installation options.

Engineering 198

Engineering Performance Metrics Best Practices 198

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

SEPTEMBER 29, 2021

These mechanisms are often compared to a conductor directing an orchestra to perform elaborate symphonies and juicy operas for our enjoyment. Here are some of the tasks orchestration platforms are challenged to perform. This is one of the most important tasks an orchestration platform performs. Container deployment.

Open Source 310

Open Source Traffic DevOps Cloud 310

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

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. We also introduced our demo app and explained how to define the metrics and traces it uses. What is OneAgent?

Metrics 179

Metrics Monitoring Database Network 179

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

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

Dynatrace

AUGUST 24, 2020

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started. Conclusion.

Analytics 136

Analytics Infrastructure AWS Operating System 136

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

APRIL 22, 2022

At Dynatrace Perform 2022 , Technology Services Manager Thomas Janik and AWS Monitoring SME Matt Gault, both from American Family, explain how they boosted their cloud operations to increase resilience. The team couldn’t do everything within AWS, so they contracted some pieces to several SaaS providers.

Cloud 175

Cloud Lambda Serverless AWS 175

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

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. The Metrics API v2 is the first v2 API available in Dynatrace.

Metrics 234

Metrics Operating System Tuning Monitoring 234