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. Insights into how serverless functions impact user experience.

Lambda 159

Lambda AWS Serverless Infrastructure 159

Dynatrace

FEBRUARY 23, 2022

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. As a result, developers and operations teams can automatically manage, monitor, and provision IT resources through software code rather than manually configure one device after another. and 2.14.1.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

OCTOBER 8, 2020

We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda.

Lambda 283

Lambda AWS Programming Serverless 283

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 214

Lambda AWS Serverless Latency 214

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. It also enables DevOps teams to connect to any number of AWS services or run their own functions. The benefits of serverless Lambda functions.

Lambda 173

Lambda AWS Serverless Hardware 173

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. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. How does Dynatrace help?

Lambda 204

Lambda AWS Serverless Latency 204

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. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

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 211

Google Cloud Serverless Azure 211

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. The education of employees about security awareness.

Best Practices 251

Best Practices DevOps Education Serverless 251

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. Observability provides deeper technical insights into what’s happening within cloud environments, in comparison to APM and/or traditional monitoring methods. Observability isn’t simply a new name for application performance monitoring (APM).

DevOps 207

DevOps Innovation Cloud Programming 207

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. While microservices vs. monolithic architecture is a common debate, organizations have other considerations, like service-oriented architecture (SOA), tools, monitoring solutions, and potential migration issues.

Architecture 189

Architecture Serverless Azure Programming 189

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Continuously monitor cost and optimize your capacity needs.

Azure 178

Azure Monitoring Virtualization Metrics 178

Dynatrace

APRIL 11, 2023

Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components. Your feedback.

Google 209

Google Cloud Serverless Innovation 209

Dynatrace

DECEMBER 22, 2021

Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. Once teams centralize their telemetry data, an observability platform can provide analysis that enriches the value of the data. Observability platforms provide root-cause analysis.

Artificial Intelligence 169

Artificial Intelligence Metrics Architecture DevOps 169

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. What is the difference between monitoring and observability? Is observability really monitoring by another name? But what is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Continuously monitor applications in runtime for known vulnerabilities and prioritize patching based on criticality: for example, adjacency to the internet and/or critical data.

Open Source 187

Open Source Artificial Intelligence Internet Internet 187

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 223

Artificial Intelligence Monitoring Infrastructure Cloud 223

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news. This can be your external facing website, internal business applications.

Lambda 174

Lambda Monitoring Cloud DevOps 174

O'Reilly

MAY 19, 2020

Even though SRE is less well known than microservices, DevOps, and other topics, it isn’t in any sense new. Or is the growth in SRE related to other factors, such as (for example) declining interest in DevOps itself? Clearly, the DevOps practices that took root over the last decade aren’t going anywhere. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

MAY 23, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

Strategy 214

Strategy Innovation Cloud Serverless 214

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. This infrastructure can be integrated into a DevOps pipeline to dynamically build and destroy environments as the pipeline executes.

Code 107

Code Infrastructure DevOps Serverless 107

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JULY 16, 2020

All of these environments were monitored and fully managed, standardized in configuration and setup, and integrated with a service providers landscape and operational tools. The Fan-Out/Fan-In pattern is nowadays found when building serverless functions for high scalability. I found a good read here.

Cache 233

Cache Serverless Efficiency Tuning 233