Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Dynatrace news. Increased availability.

Development 255

Development Serverless Best Practices Lambda 255

Dynatrace

APRIL 10, 2023

The need for transaction speed in the face of increasing digital customer demand According to Bollampally, the company’s on-premises infrastructure couldn’t support the consolidated reporting it needed while responding to customers’ increasing demand for online shopping. ” Three years ago, Tractor Supply Co.

Cloud 175

Cloud Ecommerce Performance Retail 175

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. But what does that look like? What is hyperscale?

Azure 263

Azure Cloud Google AWS 263

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API.

Testing 222

Testing Open Source Metrics Infrastructure 222

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

FEBRUARY 12, 2024

When releasing into production, Gardner said it’s important to think beyond performance metrics. We suddenly had dozens, and then, later, hundreds of Kubernetes clusters running across the three big hyperscalers, and due to speed and cost reasons within our own engineering lab.” Ortner reviewed the process of solving these issues. “We

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Kubernetes deployments can be managed using a combination of both the open-source Azure Kubernetes set context Action and Kubernetes deployment GitHub Action. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We Several team members had to pore through logs, metrics, and other data to identify issues. “We IT automation speeds code development. Previously, Park ‘N Fly had to manually troubleshoot.

Innovation 224

Innovation Infrastructure DevOps Azure 224

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. The short answer: The three pillars of observability—logs, metrics, and traces—concentrated in a data lakehouse.

AWS 213

AWS Artificial Intelligence Analytics Cloud 213

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Microservices architecture combines loosely-coupled functions to create high-performing applications. Speeds up development.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Tasktop

JUNE 20, 2019

An Agile organization’s biggest architectural blindspot? Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Its toolchain. Learn more.

Development 45

Development DevOps Google Innovation 45

Smashing Magazine

JUNE 1, 2022

In this case, we are not going to be talking about infrastructure services, such as a cloud computing platform like Microsoft Azure or a content distribution network like Akamai. The most popular, by far, is the Google Lighthouse report (available in Chrome Developer Tools) and Google’s Page Speed Insights. Design Optimizations.

Website 133

Website Design Network Best Practices 133

The Symphonia

DECEMBER 6, 2017

That means that 3GB functions might not see a linear speed bump for primarily single threaded functions. out-of-the-box metric?—?‘concurrent As with all the other Lambda metrics this value can be viewed on a per-function basis, or aggregated across a set of functions or entire account. concurrent executions’. We’re the experts!

Serverless 40

Serverless Lambda AWS Traffic 40

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network.

Architecture 52

Architecture Cache Azure Storage 52