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. Not just logs, metrics and traces. Dynatrace news.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.

Analytics 180

Analytics Systems DevOps Healthcare 180

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 214

Google Cloud Serverless Azure 214

Dynatrace

NOVEMBER 10, 2021

Conventional approaches to application security can’t keep pace with cloud-native environments that rely on agile methodologies, API-driven architectures, microservices, containers, and serverless functions. This allows releases to remain secure by default. You can find further details in Dynatrace Documentation.

Serverless 205

Serverless DevOps Cloud Metrics 205

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. CloudOps includes processes such as incident management and event management. DevOps: Applying AIOps to development environments. Analyze the data.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

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. It automatically manages all the computing resources those processes require.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. To fully answer “What are microservices?” Cultural shift.

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. These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. To fully answer “What are microservices?” Cultural shift.

Architecture 242

Architecture Software Software Development 242

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. Document and benchmark existing applications, processes, and services. Why should organizations modernize applications?

Strategy 219

Strategy Benchmarking Serverless Infrastructure 219

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. What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 13, 2022

Learn how to easily incorporate software intelligence capabilities into applications’ lifecycle and apply service-level objectives (SLOs) for critical metrics, including performance, quality, and security while adhering to operations standards. Learn how security improves DevOps. DevOps vs. DevSecOps – blog.

Open Source 214

Open Source DevOps Java Innovation 214

Dynatrace

NOVEMBER 9, 2021

And for observability to be successful, it requires much more than just logs, metrics, and traces. We start with metrics, traces, and logs (that’s table stakes) but also provide context and enrichment through topology, behavior, code, metadata, and network, combined with data from application programming interfaces (API) and OpenTelemetry.

DevOps 210

DevOps Innovation Cloud Programming 210

Dynatrace

APRIL 11, 2023

This includes collecting metrics, logs, and traces from all applications and infrastructure components. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Only 27% of those CIOs say their teams fully adhere to a DevOps culture.

Cloud 180

Cloud DevOps Open Source Retail 180

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. Dynatrace’s all-in-one Intelligent observability for Kubernetes serves both sides of any organization’s application deployment process.

AWS 141

AWS Serverless Java Virtualization 141

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. How to remove bloat?

Cloud 118

Cloud Serverless AWS Storage 118

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 171

Artificial Intelligence Metrics Architecture DevOps 171

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. Yesterday’s monolithic processes used preallocated resources set aside for a specific purpose, provisioned for a specific need. Dynatrace news.

Monitoring 184

Monitoring Artificial Intelligence DevOps Serverless 184

Dynatrace

NOVEMBER 11, 2022

A common challenge of DevOps teams is they get overwhelmed with too many alerts from their observability tools. DevOps teams don’t need just more noise—they need smarter alerting that is automatic, accurate, and actionable with precise root cause analysis. Offline processes. What you need to know for root cause analysis.

DevOps 175

DevOps C++ Serverless Processing 175

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 236

DevOps Infrastructure Cloud Monitoring 236

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 213

Google Cloud Serverless Innovation 213

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. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 181

Azure Monitoring Virtualization Metrics 181

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 240

AWS Efficiency Azure Cloud 240

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 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

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. You’ll need to manually configure process-level monitoring by editing config files. Answers, not just data.

Infrastructure 147

Infrastructure Cloud Monitoring Metrics 147

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Dynatrace news. What does APM stand for?

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