Dynatrace

MAY 24, 2021

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. But serverless functions don’t exist in a vacuum. Figure 1: This is a service flow, showing how a certain microservice depends on a specific Lambda function that fetches real-time data from a public cloud provider.

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Lambda AWS Serverless Java 312

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 246

Performance DevOps Innovation Artificial Intelligence 246

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. What is AWS Lambda? How does AWS Lambda work?

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

MARCH 12, 2025

How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank? Heres how Dynatrace, combined with Amazon Bedrock, arms teams with instant intelligence from dev to production, helping to accelerate innovation while keeping performance, costs, and compliance in check.

Metrics 165

Metrics Serverless Analytics Innovation 165

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 242

Lambda AWS Serverless Infrastructure 242

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. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.

Best Practices 246

Best Practices AWS Monitoring Serverless 246

Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. There is a new Lambda function handler signature that provides a stream object to which your function can write incoming stream data immediately, without waiting for any buffering as before.

Lambda 246

Lambda AWS Serverless Latency 246

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. These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability.

Cloud 246

Cloud Serverless Hardware Operating System 246

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. Its approach to serverless computing has transformed DevOps.

AWS 246

AWS Lambda Artificial Intelligence Serverless 246

Dynatrace

NOVEMBER 2, 2020

Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. As on-prem data centers become obsolete, and organizations look to modernize, Azure has the flexibility and scalability to adapt to the business needs of your organic IT landscape.

Azure 264

Azure Serverless Innovation Cloud 264

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Additionally, cloud computing allows for greater collaboration and innovation, as it enables users to access and share data and resources from anywhere, at any time. Can you expand?

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

SEPTEMBER 20, 2022

In fact, recent survey data indicates that only around 30% of organizations consider their DevSecOps practices mature. Siloed data and operations can frustrate maturity efforts. Fragmented data. Disparate and fragmented data naturally frustrates maturity efforts. The result is an improved ability to innovate.

Best Practices 312

Best Practices DevOps Serverless Education 312

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 279

Artificial Intelligence Serverless Analytics Innovation 279

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 236

Analytics Technology Technology Cloud 236

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

DECEMBER 24, 2020

Legacy approaches to monitoring give your team piles of siloed data, but sometimes provide only fragments of insight into specific layers of the technology stack without context. 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 279

DevOps Cloud Infrastructure Monitoring 279

Dynatrace

JULY 12, 2022

With AWS Summit taking place July 12 in New York City, Dynatrace will release new data from its global chief information security officer (CISO) survey, revealing the state of vulnerability management in the financial services sector. Dynatrace news.

Cloud 244

Cloud Open Source Serverless Innovation 244

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 2: Instrument compute and serverless cloud technologies. It only costs about $.01

Cloud 242

Cloud Lambda Serverless AWS 242

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. The script creates the required resources for sending data to Dynatrace.

Google 264

Google Cloud Serverless Innovation 264

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

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 246

Google Cloud Serverless Azure 246

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. Our deep downscaler effort was an excellent opportunity to showcase how Cosmos can drive future media innovation at Netflix. Alan Bovik (University of Texas at Austin).

Network 300

Network Media Innovation Serverless 300

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. Therefore, application vulnerabilities can proliferate quickly and threaten sensitive employee or customer data. At RSA 2022 , the theme is Transform.

Strategy 246

Strategy Innovation Cloud Serverless 246

Dynatrace

OCTOBER 28, 2019

It’s a pluggable, serverless event-based approach helping users transition from continuous delivery to continuous operations by building automation into continuous integration systems (like Concourse) across four key areas: Interested to learn more about Keptn – visit: www.keptn.sh . . But it’s even better when it’s done automatically.

Innovation 133

Innovation Open Source Serverless Best Practices 133

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. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. Data confirms Aggarwal’s conclusions. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021. Dynatrace news.

AWS 246

AWS Cloud Lambda Azure 246

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — enable business agility, but also create complexity for which many security solutions weren’t built for. Consider, for example, the recent Log4Shell and Spring4Shell vulnerabilities.

Open Source 246

Open Source DevOps Java Innovation 246

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. Traditional approaches and tooling simply don’t work in the new cloud world.

DevOps 246

DevOps Innovation Cloud Programming 246

Dynatrace

NOVEMBER 2, 2020

Today’s IT infrastructures combine on-premise data centers, servers, and mainframes with highly dynamic multi-cloud environments, with microservices running in containers, spanning multiple clouds and hybrid infrastructure. This will allow your IT team to focus on what matters – proactive action, innovation, and business results.

Infrastructure 246

Infrastructure Monitoring Virtualization Serverless 246

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The four stages of data processing. There are four stages of data processing: Collect raw data. Analyze the data.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 246

Cloud DevOps Open Source Retail 246

Dynatrace

FEBRUARY 15, 2023

Especially when seamless end-to-end solutions are needed, it’s necessary to add relevant business context to data to unlock the value of insights that are hidden in the vast amount of observability, security, and business data derived from modern clouds, and overcome the challenges of data that’s locked in organizational silos.

Government 241

Government Serverless Analytics Metrics 241

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. Applications, in turn, become collections of services.

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. Applications, in turn, become collections of services.

Architecture 246

Architecture Software Software Development 246

Dynatrace

MAY 23, 2022

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Data supports this shift from monolithic architecture to microservices approaches. Additionally, it will populate HTML views directed to the browser and retrieve, update, and modify data from the associated database.

Architecture 263

Architecture DevOps Monitoring Programming 263

Dynatrace

NOVEMBER 9, 2022

Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . According to some data, 93% of technologists find cloud application modernization challenging. What is serverless computing?

AWS 130

AWS Cloud Serverless DevOps 130