Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. What is AWS Lambda? Cold start analysis.

Lambda 161

Lambda AWS Serverless Infrastructure 161

Dynatrace

NOVEMBER 22, 2021

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Not just logs, metrics and traces.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

APRIL 6, 2022

AWS Lambda is one of the most popular serverless compute services in the market. Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. What is AWS Lambda? Cold start analysis.

Lambda 130

Lambda AWS Serverless Infrastructure 130

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. 01 for every 1,000 metrics.

Cloud 163

Cloud Lambda Serverless AWS 163

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Organizations are realizing the cost savings and management benefits of serverless automation. The benefits of serverless Lambda functions.

Lambda 175

Lambda AWS Serverless Hardware 175

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. Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure. Let’s break it down.

Cloud 220

Cloud Serverless Hardware Operating System 220

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Repurchase.

Strategy 191

Strategy Cloud Infrastructure Metrics 191

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. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 214

Google Cloud Serverless Azure 214

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 242

Cloud Serverless Innovation Architecture 242

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. With its improved GCP capabilities, Dynatrace helps you move workloads to the cloud, build great applications, and drive innovation in hybrid and multi-cloud environments.

Google 213

Google Cloud Serverless Innovation 213

Dynatrace

JUNE 8, 2022

Observability means how well you can understand what is happening in a system by collecting metrics, logs, and traces. This allows you to get comfortable with all the underlying metrics and log data. As organizations adopt more cloud-native technologies, infrastructure and application monitoring can get complex.

Azure 177

Azure Performance Infrastructure Cloud 177

Dynatrace

NOVEMBER 9, 2021

Figure 1 Investment shift from infrastructure-centric to application-centric. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation.

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

APRIL 29, 2021

Though serverless platforms relieve them from this burden, such platforms are built using Kubernetes alternatives that require different APIs, orchestration tools, and observability requirements. Only Dynatrace provides this level of of infrastructure and application observability in one comprehensive solution. and Golang containers.

AWS 141

AWS Serverless Java Virtualization 141

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. If so, what is the root cause and suggested remediation?

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

DECEMBER 24, 2020

An approach based on observability , automation, and AI, on the other hand, enables you to know precisely what is happening within your environment based on contextualized insights derived from billions of interdependencies among apps, services, and infrastructure. Myth 1 – Enterprise-scale observability is too difficult to accomplish.

DevOps 236

DevOps Infrastructure Cloud Monitoring 236

Dynatrace

NOVEMBER 20, 2020

That embedded intelligence layer is what cuts through cloud complexity to automatically pinpoint an anomaly in a serverless app, Kubernetes pod, or cloud instance, and provides answers that are accurate and reliable enough to trigger auto-remediation procedures before users are affected. A new wave of innovation for AIOps.

Artificial Intelligence 242

Artificial Intelligence Serverless Analytics Innovation 242

Dynatrace

APRIL 11, 2023

Observability is critical for monitoring application performance, infrastructure, and user behavior within hybrid, microservices-based environments. This includes collecting metrics, logs, and traces from all applications and infrastructure components. But organizations face barriers to this convergence.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. But with this speed, agility, and innovation come new challenges. Automated DevSecOps release validation ensures security by default – blog.

Open Source 214

Open Source DevOps Java Innovation 214

Dynatrace

FEBRUARY 15, 2023

AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams. Boundless possibilities You now have unlimited possibilities to address any use case you can imagine.

Government 159

Government Serverless Analytics Metrics 159

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. Programs like Open Data on AWS provide free, publicly available datasets, accelerating sustainability innovation. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Adrian Cockcroft

FEBRUARY 13, 2023

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64

AWS Energy Architecture Programming 64

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It’s Aurora Serverless. With Aurora Serverless, you simply create a database endpoint, optionally specify the desired database capacity range, and connect your applications.

AWS 52

AWS Database Serverless Storage 52

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. All three requested quality metrics will be calculated for each chunk.

Media 171

Media Innovation Metrics Latency 171

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Developers really have flocked to using this serverless programming technology to build event driven services.

Lambda 122

Lambda Cloud IoT AWS 122