All Things Distributed

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 105

Lambda Serverless AWS Architecture 105

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. AWS: A service for everything. Amazon EC2.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

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 process also preserves trace context data so Dynatrace can correlate traces from their origin to the edge.

Open Source 186

Open Source Google Serverless Azure 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. Its approach to serverless computing has transformed DevOps.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

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. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. This allows releases to remain secure by default.

Serverless 205

Serverless DevOps Cloud Metrics 205

Dynatrace

OCTOBER 13, 2021

Vulnerability assessment is the process of identifying, quantifying, and prioritizing the cybersecurity vulnerabilities in a given IT system. In all, there are seven types of vulnerability assessments, each with its own focus and methods: Application analysis has two types: static and dynamic. What is vulnerability assessment?

Infrastructure 165

Infrastructure Open Source Virtualization Operating System 165

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. Introducing release validations into your continuous delivery pipeline allows for automated analysis of the quality of your new software versions and planned releases.

Best Practices 255

Best Practices DevOps Education Serverless 255

Dynatrace

MARCH 22, 2023

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Security misconfiguration Security misconfiguration covers the basic security checks every software development process should include.

Open Source 190

Open Source Artificial Intelligence Internet Internet 190

Dynatrace

OCTOBER 7, 2021

For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.

Serverless 273

Serverless AWS Lambda Storage 273

Dynatrace

NOVEMBER 9, 2021

Data from all these sources is collected and analyzed by Dynatrace’s AI engine, Davis, that’s built into the core of the platform (not bolted on) to drive intelligent and definitive problem identification and root-cause analysis. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 210

DevOps Innovation Cloud Programming 210

The Netflix TechBlog

NOVEMBER 17, 2022

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. For example, a service can be called to perform complexity analysis for a high-quality input video, or generate encodes meant for the actual Netflix streaming.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

NOVEMBER 10, 2020

As a developer, you might use Google Cloud Function for serverless components. The installation process and architecture are well documented and described in the GitHub repository. AI-powered root cause analysis and contextual information for even faster MTTR. Google Cloud Datastore. Google Cloud Load Balancing. Your feedback.

Google 213

Google Cloud Serverless Innovation 213

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. You’ll soon have even more methods for log ingestion into Dynatrace soon, for example: Automated OpenTelemetry logs acquisition and processing.

Strategy 174

Strategy AWS Open Source Transportation 174

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. In short, organizations can’t get mired in operational silos and inefficient work processes. However, these technologies can add to the complexity.

Strategy 218

Strategy Innovation Cloud Serverless 218

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. When DevOps teams move these tasks earlier in the development process, it can aid in finding software flaws before they enter production.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Ingesting, processing, retaining, and querying logs.

Analytics 180

Analytics Infrastructure Storage Efficiency 180

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 171

Serverless Architecture Open Source Innovation 171

Dynatrace

NOVEMBER 8, 2021

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. Root-cause analysis.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

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 . .

Innovation 101

Innovation Open Source Serverless Best Practices 101

Dynatrace

JUNE 30, 2020

For those that like to read rather than watch a webinar, here I’ll give you a quick rundown of the four steps we covered, so you can start your modernization in areas where you feel Dynatrace can help your existing processes: Step #1: Monitor your SLAs using Dynatrace Synthetic.

Lambda 174

Lambda Monitoring Cloud DevOps 174

The Netflix TechBlog

SEPTEMBER 8, 2020

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. While this gave client teams a very convenient “serverless” model, over time we ran into multiple operational and devex challenges with this service.

Latency 233

Latency Cache Java Traffic 233

Adrian Cockcroft

NOVEMBER 26, 2023

Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. In this session, SK ecoplant shares how they were able to unlock the power of digital technologies to improve natural resource management and reduce waste.

AWS 52

AWS Energy IoT Best Practices 52

All Things Distributed

JUNE 26, 2016

(previously known as Emdeon) uses Amazon SNS to handle millions of confidential client transactions daily to process claims and pharmacy requests serving over 340K physicians and 60K pharmacies in full compliance with healthcare industry regulations. . At-scale computing and visual analysis. We want you to start using it today.

AWS 90

AWS Cloud Healthcare Blockchain 90

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Still, it is critical to collect, store, and make easily accessible these massive amounts of log data for analysis. Current analytics tools are fragmented and lack context for meaningful analysis.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 257

Serverless Infrastructure Innovation DevOps 257

Dynatrace

OCTOBER 8, 2020

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. This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions and services are highly dynamic and ephemeral.

Lambda 287

Lambda AWS Programming Serverless 287

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

NOVEMBER 18, 2021

Logs include critical information that can’t be found elsewhere, like details on transactions, processes, users, and environment changes. Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. The example below includes analysis of a payment issue. How to get started.

Analytics 217

Analytics Cloud Java Serverless 217

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

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

JANUARY 11, 2023

Cloud monitoring tools unify data from applications and dependent resources across distributed channels to achieve the following: better detect anomalies; perform root-cause analysis; and. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud-server monitoring.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

Dynatrace

NOVEMBER 17, 2020

Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. Automatic topology analysis. In addition, the teams building and running applications are working with different technologies in parallel.

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

FEBRUARY 15, 2023

The app automatically identifies opportunities to reduce carbon emissions, capturing the details needed for analysis and making informed decisions. Analyzing petabytes of data only works if the logic is very close to where the data is stored and processed. These requirements are mandatory from both a performance and a cost perspective.

Government 159

Government Serverless Analytics Metrics 159

Dynatrace

APRIL 20, 2022

That includes tracking every step from placing an order, tracking the status of the preparation process, delivery of the food to the customer as well as measuring the food quality based on the feedback from our happy eaters. Our goal from the start was to not only use Dynatrace for infrastructure (e.g.: kitchen ordering portal available).

Metrics 192

Metrics Mobile Internet Internet 192