Dynatrace

NOVEMBER 29, 2021

Workloads using multi-threading and multi-processing, or performing many I/O operations, can experience lower execution time and, consequently, even lower costs based on execution time and configured memory size. Provide a foundation for metric calculation in charts on dashboards. With Graviton2, you can reduce execution duration.

Lambda 206

Lambda AWS Serverless Metrics 206

Dotcom-Montior

NOVEMBER 11, 2020

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Disadvantages of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

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 204

Best Practices AWS Monitoring Serverless 204

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?

Lambda 175

Lambda AWS Serverless Hardware 175

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

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

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

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 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. The post Automated DevSecOps release validation ensures security by default appeared first on Dynatrace blog.

Serverless 205

Serverless DevOps Cloud Metrics 205

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. How to remove bloat?

Cloud 118

Cloud Serverless AWS Storage 118

Dynatrace

JULY 7, 2022

These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

FEBRUARY 25, 2021

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. Why metrics alone aren’t enough.

Lambda 212

Lambda AWS Monitoring Serverless 212

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.

Analytics 180

Analytics Systems DevOps Healthcare 180

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Dynatrace built and optimized it for Davis® AI, the game-changing Dynatrace artificial intelligence engine that processes billions of dependencies in the blink of an eye.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. It automatically manages all the computing resources those processes require.

Azure 136

Azure Serverless IoT Lambda 136

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. Automatically connect logs and distributed traces at scale. Start your free trial!

Analytics 217

Analytics Cloud Java Serverless 217

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 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 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. To fully answer “What are microservices?”

Architecture 242

Architecture Software Software Development 242

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. Dynatrace’s all-in-one Intelligent observability for Kubernetes serves both sides of any organization’s application deployment process.

AWS 141

AWS Serverless Java Virtualization 141

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 20, 2022

Guest blog from Andrian Gonciaz , Lead QA/SRE at Kitopi, in collaboration with Wolfgang Beer and Andreas Grabner (both Dynatrace). It turned out Dynatrace was the right decision due to its flexibility in combining its OneAgent full-stack metrics with external metrics we extracted from business events we sent through Apache Kafka.

Metrics 192

Metrics Mobile Internet Internet 192

Dynatrace

JUNE 13, 2022

Cloud operations and observability boost resilience for American Family – blog. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. Dynatrace introduces automatic vulnerability management for PHP open source scripting language – blog. What is Log4Shell?

Open Source 214

Open Source DevOps Java Innovation 214

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. And for observability to be successful, it requires much more than just logs, metrics, and traces. Figure 4 How Dynatrace enriches metrics, traces, and logs to identify problems with precise root cause analysis.

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

MAY 9, 2022

Dynatrace Smartscape provides a near-real-time environment topology visualization of all the dependencies across the infrastructure, process, and services. Examine cross-tier and same-tier process, host, and service interdependencies to better understand how they affect application performance. www.gcp.hipstershop.com).

Strategy 191

Strategy Cloud Infrastructure Metrics 191

Dynatrace

NOVEMBER 10, 2020

As a developer, you might use Google Cloud Function for serverless components. Complete observability with Dynatrace provides you with all the metrics from all your Cloud Functions and services across your GCP projects and displays them on dashboard charts. We know that your environment may contain many different cloud services.

Google 213

Google Cloud Serverless Innovation 213

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. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 181

Azure Monitoring Virtualization Metrics 181

The Symphonia

DECEMBER 6, 2017

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. We don’t recommend using this as a regular process for production use, but it might come in handy at development time.

Serverless 40

Serverless Lambda AWS Traffic 40

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. Dynatrace analyzes the response time of each service running within each process, displaying findings out-of-the-box for further investigation.

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

APRIL 11, 2023

Dynatrace ‘DevSecOps Lifecycle Coverage with Snyk’ eliminates security coverage blind spots – blog DevSecOps Lifecycle Coverage with Snyk, a new app developed with Dynatrace® AppEngine, enables teams to mitigate security risks across pre-production and production environments, including runtime vulnerability detection, blocking, and remediation.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

JANUARY 12, 2021

It’s powered by vast amounts of collected telemetry data such as metrics, logs, events, and distributed traces to measure the health of application performance and behavior. Yesterday’s monolithic processes used preallocated resources set aside for a specific purpose, provisioned for a specific need.

Monitoring 184

Monitoring Artificial Intelligence DevOps Serverless 184

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Use topological details related to the service at hand to drill down to the process or host running the service for root cause analysis.

Java 226

Java Traffic Strategy Architecture 226

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

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. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

DECEMBER 24, 2020

They often require painstaking manual processes to piece together an accurate picture and pinpoint the source of a problem. Meanwhile, business metrics tie everything together with KPIs that automatically connect digital performance with business outcomes. The post 5 myths about observability appeared first on Dynatrace blog.

DevOps 236

DevOps Infrastructure Cloud Monitoring 236