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. The benefits of serverless Lambda functions.

Lambda 180

Lambda AWS Serverless Hardware 180

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 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

SEPTEMBER 9, 2022

Teams can shape and shift an agile application or service to fit ever-changing business models, mitigating the risk of support loss in legacy software environments. Or, the team might use specific serverless designs as part of the modernization efforts. Monitor and measure progress during the migration.

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

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 218

DevOps Innovation Cloud Programming 218

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. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon.

Open Source 221

Open Source DevOps Java Innovation 221

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. But organizations face barriers to this convergence.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

Serverless 243

Serverless Efficiency Lambda Azure 243

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. A single pane of glass to view trace information along with AWS CloudWatch metrics. Serverless can accelerate innovation (and introduce blind spots). Dynatrace news.

Lambda 209

Lambda Serverless AWS Mobile 209

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 236

Serverless Azure Monitoring Lambda 236

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. “IDPs are not constrained to building microservices or a new serverless app,” Grabner noted.

Engineering 241

Engineering Development DevOps Infrastructure 241

Dynatrace

OCTOBER 28, 2019

Application workloads that are based on serverless functions—especially AWS Lambda, Azure Functions, and Google Cloud Functions— are a key trend in cloud-first application development and operations. With a serverless approach, you can build and run applications and services without thinking about servers. Dynatrace news.

Serverless 103

Serverless Lambda Monitoring AWS 103

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Azure Functions is the serverless computing offering from Microsoft Azure.

Serverless 141

Serverless Azure Monitoring Lambda 141

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. What is the difference between monitoring and observability? What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. This means, you don’t need to change even a single line of code in the serverless functions themselves. Dynatrace news. and Python via traces.

Lambda 294

Lambda AWS Programming Serverless 294

Dynatrace

JANUARY 12, 2021

Observability is the new standard of visibility and monitoring for cloud-native architectures. 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. Observability brings multicloud environments to heel.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

Dynatrace

JANUARY 8, 2020

And that includes infrastructure monitoring. With all this change, thinking about infrastructure monitoring in the same way as you did before is a big mistake. Just displaying a bunch of metrics on dashboards doesn’t help you solve problems – it overwhelms you with alerts and data. Able to provide answers, not just data.

Infrastructure 150

Infrastructure Cloud Monitoring Metrics 150

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?

Architecture 244

Architecture Software Software Development 244

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 137

Azure Serverless IoT Lambda 137

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Configuration of the CPU metrics can be changed in the dashboard.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. This equates to 26,000 customer logins per minute at peak demand times.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Dynatrace

JULY 7, 2022

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. In contrast, monolithic architecture structures software in a single tier. Common problems with monolithic architecture.

Architecture 200

Architecture Serverless Azure Programming 200

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. The deviating metric is response time. The goal of AIOps is to automate operations across the enterprise. CloudOps: Applying AIOps to multicloud operations.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Percona

DECEMBER 20, 2018

With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies. Honorable Mention: Is Serverless Just a New Word for Cloud-Based? Top 10 Most Commented.

Database 40

Database Tuning Performance AWS 40

Dynatrace

APRIL 20, 2022

To keep our customers happy, we are constantly monitoring and reacting to any situation that makes a hungry customer angry instead of satisfied. And not to forget – besides our orders we are also monitoring the kitchen itself such as whether a kitchen is currently open and operating or how the internet connectivity to the central servers is.

Metrics 199

Metrics Mobile Internet Internet 199

Dynatrace

NOVEMBER 20, 2020

Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Most approaches to AIOps rely on machine learning and statistical analysis to correlate metrics, events, and alerts using a multi-dimensional model. But not all AIOps solutions work the same way.

Artificial Intelligence 250

Artificial Intelligence Serverless Analytics Innovation 250

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 244

Cloud Serverless Innovation Architecture 244

Dynatrace

FEBRUARY 15, 2023

Consider a simple interactive app that helps convey the business impact of new product enhancements by combining IT Ops metrics with business data—or an app that not only calculates the costs of your cloud usage but also automatically optimizes it by leveraging the power of Davis , our causational AI, and the new Dynatrace AutomationEngine.

Government 164

Government Serverless Analytics Metrics 164

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. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments.

Cloud 226

Cloud Serverless Hardware Operating System 226

Dynatrace

OCTOBER 4, 2022

The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. For example, with just one query, your teams can achieve the following: Retrieve logs with historical business data, extract relevant business metrics, and aggregate the metrics into reports.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

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. Continuously monitor cost and optimize your capacity needs. But managing these three data types at a scale becomes unsustainable for even the most experienced teams.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Service mesh. Immutable infrastructure. Stateless whenever possible.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

DECEMBER 9, 2020

However, such heterogeneity of interconnected software services can lead to visibility gaps in end-to-end traces, which create blind spots and make it difficult for organizations to keep their software services running and their customers happy. ConcurrentMap<String, String> map = getTracingHazelcast().getMap("map");

Java 233

Java Traffic Strategy Architecture 233

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. An effective solution to this problem must be able to handle scale, depth, breadth, and heterogeneity across the software lifecycle.

Analytics 156

Analytics Technology Technology Cloud 156