Dynatrace

JANUARY 8, 2020

Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. Able to provide answers, not just data.

Infrastructure 148

Infrastructure Cloud Monitoring Metrics 148

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 208

Best Practices AWS Monitoring Serverless 208

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 212

Lambda AWS Serverless Latency 212

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 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 164

Lambda AWS Serverless Infrastructure 164

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 166

Cloud Lambda Serverless AWS 166

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 231

Analytics Artificial Intelligence Storage Serverless 231

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 178

Lambda AWS Serverless Hardware 178

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

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.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

NOVEMBER 29, 2021

When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics.

Lambda 210

Lambda AWS Serverless Metrics 210

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 218

Google Cloud Serverless Azure 218

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. Let’s break it down. Centralized applications.

Cloud 223

Cloud Serverless Hardware Operating System 223

Dynatrace

NOVEMBER 10, 2022

Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. This architectural method encompasses software containers, service meshes, microservices , immutable infrastructure, and declarative APIs to create an environment that is inherently scalable, extendable, and easy to manage through automation.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Percona

FEBRUARY 24, 2023

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. PMM can also show you historical data that can help you identify how long a service has been in a given state.

Cloud 121

Cloud Serverless AWS Storage 121

Dynatrace

JULY 7, 2022

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. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics.

Architecture 196

Architecture Serverless Azure Programming 196

Dynatrace

MAY 9, 2022

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. They need ways to monitor infrastructure, even if it’s no longer on premises. How do we get this data in a workbook for reporting?

Strategy 195

Strategy Cloud Infrastructure Metrics 195

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. Dynatrace news. file uploaded to AWS Lambda.

Lambda 215

Lambda AWS Monitoring Serverless 215

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

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. The observability problem of the serverless approach. Dynatrace news.

Azure 136

Azure Serverless IoT Lambda 136

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 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

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. But managing these three data types at a scale becomes unsustainable for even the most experienced teams. Operational excellence.

Azure 184

Azure Monitoring Virtualization Metrics 184

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. As a developer, you might use Google Cloud Function for serverless components. The script creates the required resources for sending data to Dynatrace.

Google 216

Google Cloud Serverless Innovation 216

Dynatrace

JUNE 8, 2022

Because all these resources generate huge amounts of data in various locations, it makes it difficult to monitor. 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.

Azure 180

Azure Performance Infrastructure Cloud 180

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 162

Government Serverless Analytics Metrics 162

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. These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time.

AWS 243

AWS Efficiency Azure Cloud 243

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. Meanwhile, business metrics tie everything together with KPIs that automatically connect digital performance with business outcomes.

DevOps 240

DevOps Infrastructure Cloud Monitoring 240

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 246

Artificial Intelligence Serverless Analytics Innovation 246

Dynatrace

DECEMBER 22, 2021

Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Observability is made up of three key pillars: metrics, logs, and traces. Traces provide performance data about tasks that are performed by invoking a series of services.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

APRIL 20, 2022

Our goal from the start was to not only use Dynatrace for infrastructure (e.g.: We wanted to expand and provide business process metrics (# of total orders per restaurant, orders canceled ratios, time per order, ingredients in or out of stock …) to quickly react to any issues and also get automatically alerted on anomalies.

Metrics 196

Metrics Mobile Internet Internet 196

Dynatrace

NOVEMBER 9, 2021

Figure 1 Investment shift from infrastructure-centric to application-centric. 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. 2021 GigaOm Radar for AIOps Solutions.

DevOps 214

DevOps Innovation Cloud Programming 214

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. Turning raw data into actionable business intelligence. Observability brings multicloud environments to heel.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

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. This allowed Android engineers to have much more control and observability over how we get our data. You can read more about this in our previous posts here: part 1 , part 2.

Latency 233

Latency Cache Java Traffic 233

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 183

Cloud DevOps Open Source Retail 183

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Additionally, real-time visibility into production vulnerabilities helps to secure sensitive consumer and employee data. What is Log4Shell?

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Dynatrace news.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Symphonia

MARCH 14, 2018

the Serverless Application Repository (SAR)?—?at The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Thanks to @ 3Nimbus / [link] What is the Serverless Application Repository? Enter the Serverless Application Repository.

Serverless 40

Serverless AWS Lambda Open Source 40