Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. And why it matters. AWS: A service for everything.

Best Practices 220

Best Practices AWS Monitoring Serverless 220

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 173

Lambda AWS Serverless Infrastructure 173

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 186

Lambda AWS Serverless Hardware 186

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. Dynatrace news.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

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. Modern operating systems provide capabilities to observe and report various metrics about the applications running. The last aspect is the centralization of compute.

Cloud 233

Cloud Serverless Hardware Operating System 233

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 175

Cloud Lambda Serverless AWS 175

Dynatrace

JANUARY 11, 2023

These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Cloud-server monitoring.

Cloud 230

Cloud Monitoring Best Practices Infrastructure 230

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 243

Analytics Artificial Intelligence Storage Serverless 243

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 229

Google Cloud Serverless Azure 229

Dynatrace

NOVEMBER 9, 2021

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. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 226

DevOps Innovation Cloud Programming 226

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 246

Cloud Serverless Innovation Architecture 246

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 258

Artificial Intelligence Serverless Analytics Innovation 258

Dynatrace

NOVEMBER 10, 2020

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. As a developer, you might use Google Cloud Function for serverless components. Understand and prevent issues with complete observability into your GCP services.

Google 229

Google Cloud Serverless Innovation 229

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 246

Analytics Open Source Serverless Architecture 246

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. Many Site Reliability Engineers could do without the frustrations of managing virtual or bare-metal compute nodes.

AWS 145

AWS Serverless Java Virtualization 145

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. The deviating metric is response time. The goal of AIOps is to automate operations across the enterprise. This is now the starting node in the tree.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards.

Open Source 229

Open Source DevOps Java Innovation 229

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 171

Government Serverless Analytics Metrics 171

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

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 161

Analytics Technology Technology Cloud 161

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. Dynatrace news.

Strategy 208

Strategy Cloud Infrastructure Java 208

Dynatrace

DECEMBER 24, 2020

Meanwhile, business metrics tie everything together with KPIs that automatically connect digital performance with business outcomes. With so much maintenance work out of the way, you can focus on innovating and optimizing applications that improve business outcomes and user experiences.

DevOps 253

DevOps Infrastructure Cloud Monitoring 253

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift. Watch webinar now!

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift. Watch webinar now!

Architecture 246

Architecture Software Software Development 246

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. But organizations face barriers to this convergence.

Cloud 195

Cloud DevOps Open Source Retail 195

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. This extended observability improves operations, reduces MTTR, and increases innovation. Why Azure observability matters.

Azure 192

Azure Performance Infrastructure Cloud 192

Dynatrace

NOVEMBER 2, 2020

This will allow your IT team to focus on what matters – proactive action, innovation, and business results. Contextual information: Go beyond metrics, logs, and traces with UX and topology data to understand billions of interdependencies. AI-assistance: Use AI to detect anomalies and benchmark your system.

Infrastructure 209

Infrastructure Monitoring Virtualization Serverless 209

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 238

Artificial Intelligence Monitoring Infrastructure Cloud 238

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

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Increased time spent on innovation. Dynatrace news. Mobile apps, websites, and business applications are typical use cases for monitoring. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Percona

JULY 1, 2023

It’s Aurora Serverless. “Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora (MySQL-compatible and PostgreSQL-compatible editions), where the database will automatically start up, shut down, and scale capacity up or down based on your application’s needs. Want to learn more?

AWS 52

AWS Database Serverless Storage 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

All Things Distributed

APRIL 9, 2015

Developers really have flocked to using this serverless programming technology to build event driven services. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT).

Lambda 122

Lambda Cloud IoT AWS 122

Abhishek Tiwari

JULY 20, 2019

For instance, if you are fast-growing VC funded e-commerce startup and your number one business priority is multiplying current growth and performing exceptionally well on key financial metrics charted out by your investors. I also have a strong feeling that long-lived teams are not good for innovation and disruption.

Engineering 61

Engineering Retail Airlines Healthcare 61