Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

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. Any log event (JSON or plain text) via HTTP REST API. Dynatrace news.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

FEBRUARY 1, 2024

The new Dynatrace Kubernetes experience provides a 10,000-foot view of all Kubernetes clusters, across all environments and distributions (from GCP, Azure, and AWS to OpenShift or on-premise solutions. Such critical situations are signaled by warning events and unhealthy node conditions. So, stop waiting.

Engineering 269

Engineering Efficiency Azure Monitoring 269

Dynatrace

JUNE 26, 2020

Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Sydney (AWS) ?

Monitoring 259

Monitoring Azure AWS Traffic 259

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 173

Cloud Lambda Serverless AWS 173

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. VAPO is available in both Microsoft Azure and AWS. We’re using automation to kick off scaling events,” he said. “We We want to be there in time.”

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 198

Analytics Processing Transportation Storage 198

Dynatrace

DECEMBER 2, 2021

Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. Removed seven-day preview from create/edit custom event for alerting pages. Settings > Anomaly detection > Extension events. Sometimes the Python virtual machine crashes. CASP-11916).

Lambda 199

Lambda Azure Metrics Monitoring 199

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. 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). Full-stack observability. Service mash insights. Cluster and container Log Analytics.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. The organization needed to ensure the correlation of all events in a complete end-to-end trace. However, they had numerous custom applications with separate APIs.

Open Source 199

Open Source Google Serverless Azure 199

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 227

Google Cloud Serverless Azure 227

Dynatrace

AUGUST 11, 2022

Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. 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. What is FaaS?

Development 256

Development Serverless Best Practices Lambda 256

Smashing Magazine

DECEMBER 17, 2021

Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. Billing Management For Your Next SaaS Idea Using Stripe And Azure Functions. package to build an API layer comprising Azure Functions apps that can be executed by an HTTP trigger from a web, mobile, or desktop client. Creating Azure Functions.

Azure 96

Azure Serverless Code Testing 96

Dynatrace

MAY 19, 2021

Dynatrace provides the insights to help teams determine this, while also uncovering a range of additional insights, including event tracking and over-commitment rate. One of the most important goals of an operations team is to understand whether a cluster is healthy. Next-level application performance insights. What’s Next.

Innovation 239

Innovation Azure Infrastructure Cloud 239

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 246

Analytics Infrastructure AWS Operating System 246

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 187

Engineering Development Infrastructure Cloud 187

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Just as the code is monolithic, so is the logging. Cloud applications are different from traditional monolithic applications – they are both ephemeral and dynamic.

Cloud 231

Cloud Serverless Hardware Operating System 231

Dynatrace

AUGUST 26, 2020

Error code for browser monitors failing basic authentication. Resolved issue in Session Replay when the button in the event list to replay a JS error was always disabled. Cloud Foundry and Azure buttons on Deploy Dynatrace page now open pages in new tabs. Fixed UI issue where some entities show normal events as frequent issues.

Azure 244

Azure Metrics Monitoring Cloud 244

Scalegrid

OCTOBER 7, 2019

We recently attended the PostgresConf event in San Jose to hear from the most active PostgreSQL user base on their database management strategies. 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%

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

AUGUST 21, 2023

Different monitoring point solutions, such as Jaeger, Zipkin, Logstash, Fluentd, and StatsD, each have their own way of observing and recording such an event. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces.

Open Source 202

Open Source Analytics Lambda Metrics 202

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 . And b ecause Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is a vailable to you with in Dynatrace.

Analytics 135

Analytics Infrastructure AWS Operating System 135

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp. ‍Why Manage Infrastructure by Code?‍‍If

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

APRIL 15, 2022

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. “We used Dynatrace to monitor that large increase in servers.

Cloud 182

Cloud Infrastructure Innovation Monitoring 182

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. This means organizations waste less time on war rooms and finger-pointing.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). Easily tie data to the application topology for deep analysis and to fuel the Davis AI engine.

Software 146

Software Software Technology Technology 146

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. This rule challenges requests coming from known Tor exit nodes.

Open Source 40

Open Source DevOps AWS Azure 40

Dynatrace

MAY 17, 2023

However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront. It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment.

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. Bamboo, Azure DevOps, AWS CodePipeline …. Pitometer is a Node.js

Architecture 125

Architecture Open Source Azure Metrics 125

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

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. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

cdemi

FEBRUARY 20, 2017

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWS Lambda, functions are not allowed to run for longer than 5 minutes. On Public Clouds: Microsoft: Azure Functions. Amazon: AWS Lambda. Disadvantages. IBM: OpenWhisk.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

NOVEMBER 23, 2020

As an application developer, you want to instrument your code to understand how your services communicate with each other and where bottlenecks cause performance degradations. When using managed environments like Google Kubernetes Engine (GKE) , Amazon Elastic Kubernetes (EKS) , or Azure Kubernetes Service it’s easy to spin up a new cluster.

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

Smashing Magazine

SEPTEMBER 3, 2019

Automation improves the quality of our work, since we can avoid having to manually execute mind-numbing tasks again and again, which will enable us to use all our time for coding, and reassures us that the deployment will not fail due to human errors (such as overriding the wrong folder as in the old FTP days). Large preview ).

Website 82

Website Serverless AWS Lambda 82