Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 229

Lambda AWS Serverless Latency 229

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. For details on monitoring such containers, see Deploy OneAgent to container-image packaged functions in Dynatrace Documentation. Dynatrace news.

Lambda 302

Lambda AWS Serverless Java 302

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. Begin monitoring AWS Lambda Function URLs today.

Lambda 170

Lambda AWS Serverless Infrastructure 170

Dynatrace

NOVEMBER 2, 2020

As IT infrastructure has become increasingly distributed and complex, organizations face the challenge of aligning business objectives and end-user experience with the availability and performance of the IT infrastructure. What is infrastructure monitoring? . Performance is mission-critical to these organizations.

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

Dynatrace

JUNE 8, 2022

Because all these resources generate huge amounts of data in various locations, it makes it difficult to monitor. These challenges make Azure observability critical for building and monitoring cloud-native applications. One of the key monitoring strategies in the Cloud Adoption Framework is observability.

Azure 189

Azure Performance Infrastructure Cloud 189

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 231

Cloud Serverless Hardware Operating System 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. The benefits of serverless Lambda functions.

Lambda 184

Lambda AWS Serverless Hardware 184

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. Begin monitoring AWS Lambda Function URLs today.

Lambda 130

Lambda AWS Serverless Infrastructure 130

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. . Lift-and-shift cloud migration can create performance problems and security vulnerabilities. . What is serverless computing?

AWS 130

AWS Cloud Serverless DevOps 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. Its approach to serverless computing has transformed DevOps.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. Azure shines when it comes to building and running your software with speed and agility, empowering developers to build productively and innovate faster. Dynatrace news.

Azure 252

Azure Serverless Innovation Cloud 252

Dynatrace

DECEMBER 24, 2020

As organizations update their IT environments with the latest cloud-native technologies and architectures, teams need to weigh the effectiveness of traditional monitoring vs. modern, observability-based solutions to decide how to solve their existing challenges amid the growing complexity of their dynamic, multi-cloud environments.

DevOps 249

DevOps Infrastructure Cloud Monitoring 249

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. Multicloud observability enables IT teams to focus on what matters most.

Cloud 173

Cloud Lambda Serverless AWS 173

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 227

Google Cloud Serverless Azure 227

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 245

Cloud Serverless Innovation Architecture 245

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. Because of their flexibility, dynamic, ephemeral environments are more difficult to monitor in real time than traditional on-premises infrastructure.

Strategy 229

Strategy Innovation Cloud Serverless 229

Dynatrace

NOVEMBER 10, 2020

Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components.

Google 226

Google Cloud Serverless Innovation 226

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. Flexible monitoring of pods with OneAgent on EKS. Flexible monitoring of pods with OneAgent on EKS. and Golang containers.

AWS 144

AWS Serverless Java Virtualization 144

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. 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. APM to Observability.

DevOps 223

DevOps Innovation Cloud Programming 223

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Risks include performance problems and outages in cloud-native environments, application security vulnerabilities and poor digital experience for customers and other users. Build a proactive approach to cloud operations for increased resilience – Perform 22 session.

Open Source 227

Open Source DevOps Java Innovation 227

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. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Use conditional statements.

Analytics 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

NOVEMBER 20, 2020

It has invested heavily in usability of the solution and the flexible UI design keeps practitioners in context when exploring performance issues. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. A new wave of innovation for AIOps.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

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 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. 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. Mobilize and plan.

Strategy 204

Strategy Cloud Infrastructure Java 204

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. 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. Cloud observability is a known problem for IT pros.

AWS 218

AWS Cloud Lambda Azure 218

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. As data from different corners of the enterprise proliferates, teams need a better way to bring data together to identify performance and security issues, minimize security risk, and drive greater business value.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

MAY 23, 2022

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. C-level executives “must race to reinvent their organizations for the fast-paced, multiplied innovation world,” says Frank Gens, senior vice president and chief analyst at IDC. Faster performance.

Architecture 200

Architecture DevOps Monitoring 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. It triggers the fault-tree analysis, so you begin analyzing with the monitored entity to which the metric belongs — the application. Analyze the data.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

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. Potential for decreased reliability. Limited observability.

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. Potential for decreased reliability. Limited observability.

Architecture 245

Architecture Software Software Development 245

Dynatrace

JULY 29, 2021

How can we optimize for performance and scalability? Without an easy way of getting answers to such questions, enterprises risk overinvesting in operations and underinvesting in development, which slows down innovation. Common questions include: Where do bottlenecks occur in our architecture?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. SRE requires a cultural change.

Engineering 257

Engineering DevOps Government Latency 257

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

FEBRUARY 15, 2023

AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams. These requirements are mandatory from both a performance and a cost perspective. Everything thinkable is now possible.

Government 168

Government Serverless Analytics Metrics 168

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. SRE requires a cultural change.

Engineering 181

Engineering DevOps Government Latency 181

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. We wanted to take this a step further and apply the Everything as Code methodology to monitoring configurations as well.

Code 110

Code Infrastructure DevOps Serverless 110