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. Insights into how serverless functions impact user experience.

Lambda 173

Lambda AWS Serverless Infrastructure 173

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 186

Lambda AWS Serverless Hardware 186

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 229

Google Cloud Serverless Azure 229

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. API gateways.

Architecture 209

Architecture Serverless Azure Programming 209

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 138

Azure Serverless IoT Lambda 138

Dynatrace

NOVEMBER 9, 2021

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. And for observability to be successful, it requires much more than just logs, metrics, and traces.

DevOps 226

DevOps Innovation Cloud Programming 226

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. Insights into how serverless functions impact user experience.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

JUNE 13, 2022

Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. As organizations adopt cloud-native and open source technologies, their environments become more flexible. However, these technologies can increase complexity.

Open Source 229

Open Source DevOps Java Innovation 229

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Teams can become leading experts on the technologies they develop. They commonly leverage HTTP and REST API technologies to communicate with other services. Microservices challenges.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Teams can become leading experts on the technologies they develop. They commonly leverage HTTP and REST API technologies to communicate with other services. Microservices challenges.

Architecture 246

Architecture Software Software Development 246

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. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

DECEMBER 24, 2020

IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.

DevOps 253

DevOps Infrastructure Cloud Monitoring 253

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. This capability provides the context needed to make sense of data no matter where in the entire technology stack it originated. Dynatrace news.

Monitoring 201

Monitoring Artificial Intelligence DevOps Serverless 201

Dynatrace

SEPTEMBER 9, 2022

Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. Or, the team might use specific serverless designs as part of the modernization efforts. It’s important to create a baseline of metrics in an application modernization strategy.

Strategy 236

Strategy Benchmarking Serverless Infrastructure 236

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

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. Dynatrace news.

Cloud 246

Cloud Serverless Innovation Architecture 246

Dynatrace

APRIL 21, 2022

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs.

Azure 197

Azure Monitoring Virtualization Metrics 197

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. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine. which shows your operational efficiency in your software delivery pipeline.

AWS 256

AWS Efficiency Azure Cloud 256

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 238

Artificial Intelligence Monitoring Infrastructure Cloud 238

Dynatrace

JANUARY 8, 2020

Rather than just “keeping the lights on,” the modern I&O team must evolve to become responsible for building and maintaining the cloud platform, empowering DevOps teams to build, deploy and run applications themselves. Collecting and displaying a bunch of metrics may sound like a good idea, but what happens when something goes wrong?

Infrastructure 154

Infrastructure Cloud Monitoring Metrics 154

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. All these terms refer to related technology and practices. APM has rapidly expanded to encompass a broad range of technologies and use cases. Dynatrace news.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

FEBRUARY 13, 2023

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64

AWS Energy Architecture Programming 64