Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. 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.

Serverless 142

Serverless Azure Monitoring Lambda 142

Dynatrace

JUNE 26, 2020

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. Virginia (AWS) ?, Sydney (AWS) ?

Monitoring 257

Monitoring Azure AWS Traffic 257

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.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

AUGUST 2, 2021

Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. This helps you transform faster by taming modern cloud complexity with observability, automation, and intelligence in a single platform delivering multicloud observability that’s more than metrics, logs, and traces.

Azure 263

Azure Cloud Google AWS 263

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. New metric identifiers and structure.

Metrics 102

Metrics Efficiency Monitoring Azure 102

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. In-depth, AI-driven metrics can help to manage this simplicity.

Development 252

Development Serverless Best Practices Lambda 252

Scalegrid

MARCH 14, 2024

It provides significant advantages that include: Offering scalability to support business expansion Speeding up the execution of business plans Stimulating innovation throughout the company Boosting organizational flexibility, enabling quick adaptation to changing market conditions and competitive pressures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. billion in 2020 to $4.1 More automation.

Analytics 210

Analytics Monitoring Artificial Intelligence DevOps 210

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 183

Engineering Development Infrastructure Cloud 183

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Stateless whenever possible.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

The Symphonia

DECEMBER 6, 2017

The light show at the re:Play party Another re:Invent has come and gone, and us mere AWS-using mortals are now rapidly trying to sort the wheat from the chaff of a heady harvest of announcements. It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the out-of-the-box metric?—?‘concurrent

Serverless 40

Serverless Lambda AWS Traffic 40

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. To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. AWS for builds.

Architecture 52

Architecture Cache Azure Storage 52