Dynatrace

FEBRUARY 9, 2022

With the increase of interconnected functions and other services, end-to-end traceability becomes essential. Have a look at the full range of supported technologies. This, in turn, helps DevOps teams to pinpoint common problem patterns in their serverless functions rather than in an event-driven architecture. New to Dynatrace?

Serverless 187

Serverless Azure Lambda AWS 187

Dynatrace

JULY 7, 2022

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. Microservices is a development approach in which a large application is broken down into modular services, which support specific functions and communicate with other services.

Architecture 199

Architecture Serverless Azure Programming 199

Dynatrace

NOVEMBER 3, 2022

CaaS automates the processes of hosting, deploying, and managing container technologies. This, in turn, drove the creation of cloud-based services that further automated this function. Managed orchestration uses solutions such as Kubernetes or Azure Service Fabric to provide greater container control and customization.

Serverless 218

Serverless Azure Hardware Transportation 218

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems.

Storage 130

Storage Systems Big Data Azure 130

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. What is Google Cloud Functions? Where does Google Cloud Functions fit in the GCP environment? Dynatrace news.

Google 221

Google Cloud Serverless Azure 221

Dynatrace

JULY 6, 2020

The need to use multiple tools when running workloads in multi/hybrid clouds—diverse cloud environments require a lot of expertise because clouds are not the same, even though services offer similar functions. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL. Azure DB for PostgreSQL. Azure HDInsight.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Greater up-time.

Architecture 246

Architecture Software Software Development 246

Dynatrace

MARCH 16, 2022

Over the last year, Dynatrace extended its AI-powered log monitoring capabilities by providing support for all log data sources. We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Dynatrace news.

Metrics 214

Metrics Lambda Infrastructure Monitoring 214

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Greater up-time.

Architecture 244

Architecture Software Software Development 244

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 168

Cloud Lambda Serverless AWS 168

Dynatrace

MAY 19, 2022

Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality. The monitoring team set up the dashboard, so who owns violations? Our last example is from one of the largest communication technology and services companies in Greece.

Automotive 270

Automotive Latency Architecture Azure 270

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Finally, because the delivery of compute resources happens entirely in the cloud, the technology enables enterprises to go serverless at the local level. Difficult to monitor.

Serverless 165

Serverless Infrastructure Lambda Latency 165

Dynatrace

JUNE 7, 2023

This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. temperature: 0, max_tokens: 10, }); Once the AI application is started on a OneAgent-monitored server, the application is automatically detected, and the traces and metrics for all outgoing requests are collected.

Monitoring 164

Monitoring Latency Metrics Azure 164

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

NOVEMBER 11, 2022

Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. Instead of treating storage, server, compute, and network functions as separate entities, HCI virtualizes these resources.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Dynatrace

MARCH 24, 2023

A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

JANUARY 13, 2021

Recently, Dynatrace added OpenTelemetry support to its PurePath 4 technology, which is its fourth and latest generation of automatic and intelligent distributed tracing. Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report.

Open Source 139

Open Source Code Monitoring Azure 139

Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. Encryption. More encryption.

Design 191

Design Storage Programming Analytics 191

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 4, 2022

Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Agent and open technologies make it easy to ingest large volumes of observability, security, and business data. Emerging technology frameworks. Data management. Query language. Reduced redundancy.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

NOVEMBER 29, 2021

Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. is built on the most popular Linux container technology, Docker. OpenShift key features and benefits. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

JULY 8, 2019

Cloud can be confusing, even to technology folks and there’s a lot of misinformation out there. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. The answer is yes, but there are always going to be ‘downsides’ to every technology that’s out there.

Cloud 201

Cloud Hardware Testing Logistics 201

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. Capabilities for handling diverse data management functions are necessary. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. This is functionality we intend to better integrate into Jenkins and our reporting capabilities.

Testing 217

Testing Open Source Metrics Infrastructure 217

Scalegrid

JANUARY 8, 2024

Discover how AI is reshaping the cloud and what this means for the future of technology. AI also enhances cloud services by introducing new functionalities with the help of AI tools. Transformative Trends in AI Cloud Computing Several transformative trends in AI cloud computing are shaping the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JULY 10, 2019

Dynatrace monitors your full stack and offers you thousands of metrics with almost zero configuration. Just a single OneAgent per host is required to collect all relevant monitoring data, all the way down to specific lines of code. However, there are certain situations where you’d like to extend our Dynatrace out-of-the-box monitoring.

Java 137

Java Best Practices Metrics Azure 137

Scalegrid

JANUARY 8, 2024

In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions. The company’s decision stemmed from the need to cut expenses, optimize functionality, and minimize potential disruptions in services. What is Multi-Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 226

Metrics Operating System Tuning Monitoring 226

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Particular Software

AUGUST 18, 2020

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. NServiceBus makes Azure Functions even better. Let’s take a look at how using NServiceBus and Azure Functions together can make your serverless applications even better. We think they go together like milk and cookies.

Azure 52

Azure Serverless Programming Transportation 52

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Compared to Python, Go is not as descriptive, so in some instances, programmers may need to write more lines of code to carry out a specific function compared to using Python. Containers/Microservices.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Cloud migration can also be an opportunity for organizations to embrace green-field technologies and projects from the ground up.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Testsigma

NOVEMBER 18, 2021

He makes the points that non-functional testing should be higher up in your priority, that manual test data provisioning keeps you from truly reaping the rewards of automation, and that you must never miss an opportunity to celebrate good work. As technology advancement continues, we’ll see newer, more nuanced types of testing.

Engineering 104

Engineering Social Media DevOps Azure 104

Alex Podelko

JUNE 12, 2019

Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in Azure DevOps will be retired. These tools complement JMeter (and Gatling) in many important ways and bring its functionality and services to a new level, allowing to compete with commercial products in more sophisticated environments.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Particular Software

JUNE 1, 2020

One of our recent clients—a government agency—was already using NServiceBus and wanted to migrate their system to Azure. The steps we took to get NServiceBus ready to run in Azure may be helpful to you as you map your own cloud moves. MSMQ is not a cloud-friendly technology—it only provides local queues.

Cloud 52

Cloud Transportation Azure Government 52