Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Requirements to achieve multicloud observability and monitoring.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

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.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. This is fueling key DevSecOps trends in 2022.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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 164

Lambda AWS Serverless Infrastructure 164

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 291

Lambda AWS Programming Serverless 291

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. . Developing a cloud application migration strategy . What is serverless computing? – blog .

AWS 130

AWS Cloud Serverless DevOps 130

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. It also enables DevOps teams to connect to any number of AWS services or run their own functions. The benefits of serverless Lambda functions.

Lambda 178

Lambda AWS Serverless Hardware 178

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 221

Lambda AWS Serverless Latency 221

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 258

Best Practices DevOps Education Serverless 258

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

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

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. This approach, however, requires more extensive collaboration between developers, security teams and IT operations teams. Dynatrace news.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. 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.

Architecture 196

Architecture Serverless Azure Programming 196

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

DZone

JULY 23, 2019

With all the benefits that microservices architecture and cloud-native and serverless applications bring, they also add a lot of complexity from an operations point of view. Application monitoring practices as we currently use the are no longer sufficient.

Development 171

Development Serverless Monitoring Architecture 171

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. Application development platforms live in the cloud and are always available.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Applications built with microservices are broken into discrete modules so development teams can work on them in parallel.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Applications built with microservices are broken into discrete modules so development teams can work on them in parallel.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

MAY 23, 2022

As the pace of business quickens, software development has adapted. As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. Easier to develop. Dynatrace news. What is monolithic architecture? Monolithic architecture pros.

Architecture 192

Architecture DevOps Monitoring Programming 192

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. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI. Analyze the data.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

SEPTEMBER 9, 2022

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. In some cases, this might be a cloud-native application development where IT refactors the app entirely.

Strategy 223

Strategy Benchmarking Serverless Infrastructure 223

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. What is the difference between monitoring and observability? Is observability really monitoring by another name? But what is observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 11, 2021

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021.

AWS 209

AWS Cloud Lambda Azure 209

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 216

Google Cloud Serverless Innovation 216

Dynatrace

MARCH 22, 2023

Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks.

Open Source 194

Open Source Artificial Intelligence Internet Internet 194

Dynatrace

APRIL 21, 2022

To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 184

Azure Monitoring Virtualization Metrics 184

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 tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. What is observability?

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

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 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

JUNE 30, 2020

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. Dynatrace news. This can be your external facing website, internal business applications.

Lambda 174

Lambda Monitoring Cloud DevOps 174

O'Reilly

MAY 19, 2020

It seems to us that the results of our survey offer a point-in-time snapshot of the latest trends in cloud, microservices, distributed application development, and other emergent areas. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Respondent Demographics.

Cloud 141

Cloud Serverless AWS Architecture 141

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. As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities.

Strategy 221

Strategy Innovation Cloud Serverless 221

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. If the objective under the performance efficiency pillar is achieved, it indicates successful cost reduction for the disk size.

AWS 243

AWS Efficiency Azure Cloud 243

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. This infrastructure can be integrated into a DevOps pipeline to dynamically build and destroy environments as the pipeline executes.

Code 108

Code Infrastructure DevOps Serverless 108