Dynatrace

APRIL 7, 2023

What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 215

Lambda AWS Serverless Latency 215

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 225

Lambda AWS Serverless Latency 225

Dynatrace

OCTOBER 8, 2020

This means, you don’t need to change even a single line of code in the serverless functions themselves. Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic.

Lambda 294

Lambda AWS Programming Serverless 294

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. Secure releases by default. This allows releases to remain secure by default.

Serverless 212

Serverless DevOps Cloud Metrics 212

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 180

Lambda AWS Serverless Hardware 180

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. In contrast, monolithic architecture structures software in a single tier. Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies.

Architecture 200

Architecture Serverless Azure Programming 200

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. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon.

Open Source 221

Open Source DevOps Java Innovation 221

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 196

DevOps Artificial Intelligence Healthcare Innovation 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 137

Azure Serverless IoT Lambda 137

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications.

Cloud 186

Cloud DevOps Open Source Retail 186

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. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 218

DevOps Innovation Cloud Programming 218

Dynatrace

SEPTEMBER 9, 2022

Teams can shape and shift an agile application or service to fit ever-changing business models, mitigating the risk of support loss in legacy software environments. Or, the team might use specific serverless designs as part of the modernization efforts. Crafting an application modernization strategy.

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

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. With this information they can: Detect outages, software bugs, unauthorized activity, and service degradations. Dynatrace news.

Monitoring 191

Monitoring Artificial Intelligence DevOps Serverless 191

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 178

Artificial Intelligence Metrics Architecture DevOps 178

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 244

Cloud Serverless Innovation Architecture 244

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 244

DevOps Infrastructure Cloud Monitoring 244

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Percona

FEBRUARY 24, 2023

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. Figure 5: Experimental PostgreSQL Vacuum Monitoring What about serverless?

Cloud 124

Cloud Serverless AWS Storage 124

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 188

Azure Monitoring Virtualization Metrics 188

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 246

AWS Efficiency Azure Cloud 246

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 150

Infrastructure Cloud Monitoring Metrics 150

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Faster and higher-quality software releases. Dynatrace news. Mobile apps, websites, and business applications are typical use cases for monitoring.

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