Code, Demo and Processing - Technology Performance Pulse

Dynatrace KSPM: Transforming Kubernetes security and compliance

Dynatrace

DECEMBER 9, 2024

Processes are time-intensive. Slow processes introduce risk. Continuous visibility and assessment provide platform engineering, DevSecOps, DevOps, and SRE teams with the ability to track, validate, and remediate potential compliance-relevant findings and create the necessary evidence for the auditing process. Reactivity.

Best Practices

Best Practices Benchmarking DevOps Efficiency

OpenTelemetry histograms reveal patterns, outliers, and trends

Dynatrace

OCTOBER 10, 2024

Moreover, the OpenTelemetry Collector can measure service span durations, categorized by span names, span kinds, and status codes. This self-monitoring aspect is crucial for maintaining the health and efficiency of the Collector itself, ensuring that it can handle the demands of large-scale data collection and processing without degradation.

Metrics

Metrics Monitoring Efficiency Availability

The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

MAY 17, 2023

In this OpenTelemetry demo series, we’ll take an in-depth look at how to use OpenTelemetry to add observability to a distributed web application that originally didn’t know anything about tracing, telemetry, or observability. These observations and insights are all far beyond what classic logging typically provides.

Metrics

Metrics Open Source Traffic Cache

Introducing Configurable Metaflow

The Netflix TechBlog

DECEMBER 19, 2024

A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.

Best Practices

Best Practices Cache Metrics Code

Turbocharge Dynatrace App development with the new Visual Studio Code extension `Dynatrace Apps`

Dynatrace

JUNE 6, 2024

The VS Code extension Dynatrace Apps is here to streamline your development process and simplify app building. Now you can easily query live data directly within VS Code using the Dynatrace Query Language (DQL). Sound familiar? This aids in effectively handling execution, loading, and error states.

Code

Code Development Best Practices Efficiency

Build resilient IT systems and manage regulatory requirements with compliance and resilience capabilities from Dynatrace

Dynatrace

JANUARY 15, 2025

Smartscape topology visualizes the relationships between applications, services, processes, hosts, and data centers, highlighting problems and vulnerabilities. Leveraging code-level insights and transaction analysis, Dynatrace Runtime Application Protection automatically detects attacks on applications in your environment.

Systems

Systems DevOps Analytics Monitoring

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

MAY 17, 2023

We also introduced our demo app and explained how to define the metrics and traces it uses. The second part, The road to observability with OpenTelemetry part 2: Setting up OpenTelemetry and instrumenting applications , covers the details of how to set up OpenTelemetry in our demo application and how to instrument the services.

Metrics

Metrics Database Monitoring Network

Code-level observability for Flutter apps drives great user experience

Dynatrace

NOVEMBER 13, 2020

When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. Additionally, it exposes API calls to the Flutter code and forwards these API calls to OneAgent for iOS/Android. Test Flutter monitoring with our demo app.

Code

Code Mobile Monitoring Infrastructure

VMware Security Advisory VMSA-2025-0004: Quickly find, remediate, and automate

Dynatrace

MARCH 19, 2025

This combination allows a malicious actor with local administrative privileges on a virtual machine to execute code as the virtual machine’s VMX process running on the host. It allows a malicious actor with privileges within the VMX process to trigger an arbitrary kernel write, which can lead to an escape from the sandbox.

Virtualization

Virtualization Database Systems Operating System

Troubleshooting Knative Prometheus GC Issues with Dynatrace

Dynatrace

JULY 11, 2019

If you want to know more about keptn, I encourage you to check out www.keptn.sh , “What is keptn and how to get started” (blog), “Getting started with keptn” (YouTube) or my slides on Shipping Code like a keptn. In my case, both prometheus.knative-monitoring pods jumped in Process CPU and I/O request bytes.

Open Source

Open Source Metrics Monitoring Cloud

Unlock the power of contextual log analytics

Dynatrace

OCTOBER 2, 2024

The show surrounding logs function provides Dynatrace users with the ability to dive deeper and surface context-specific log lines of the components and services linked to the problem—all without a single line of code or complex query language knowledge. Advanced analytics are not limited to use-case-specific apps. Figure 11.

Analytics

Analytics AWS DevOps Cloud

Beyond “Prompt and Pray”

O'Reilly

JANUARY 21, 2025

Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation. Its quick to implement and demos well. Each interaction requires multiple API calls, token processing, and runtime decision-making.

Software Engineering

Software Engineering Efficiency Engineering Systems

The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. Dynatrace ownership functionality supports configuration-as-code via its proprietary Monaco (Monitoring as code) CLI or Terraform. Contact us to schedule a demo.

Best Practices

Best Practices Azure Database Code

ConsoleMe: A Central Control Plane for AWS Permissions and Access

The Netflix TechBlog

MARCH 10, 2021

This is an amazing movement providing numerous opportunities for product innovation, but managing this growth has introduced a support burden of ensuring proper security authentication & authorization, cloud hygiene, and scalable processes. This process is manual, time-consuming, inconsistent, and often a game of trial and error.

AWS

AWS Cloud Games Infrastructure

How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Ensure expected production behavior One Dynatrace team is responsible for the demo applications we use to demonstrate Dynatrace capabilities.

DevOps

DevOps Traffic Latency Best Practices

Generate security events from Dynatrace Security Investigator via OpenPipeline

Dynatrace

SEPTEMBER 17, 2024

OpenPipeline allows you to create custom endpoints for data ingestion and process the events in the pipeline (for example, adding custom pipe-dependent fields to simplify data analysis in a later phase). Go to the Pre-processing tab and add a new processor with the type Add Fields. ld):domain '.'

Transportation

Transportation AWS Engineering Processing

Shift right in software development: Adapting observability for a seamless development experience

Dynatrace

APRIL 16, 2024

The shift-left approach aims to ensure bugs and other issues are discovered and addressed early in the development process, leading to improved software quality and lower costs associated with late-stage troubleshooting. Today, engineers are spending an increasing amount of time developing and testing code in production-like environments.

Development

Development Software Software Tuning

AWS serverless services: Exploring your options

Dynatrace

OCTOBER 7, 2021

Amazon compute solutions are designed to streamline resource provisioning and container management with two services: AWS Lambda : Lambda provides serverless compute infrastructure that lets you run code in response to predetermined events or conditions and automatically manage all compute resources required for these processes.

Serverless

Serverless AWS Lambda Storage

End-to-end request monitoring for popular Python frameworks with OneAgent SDK

Dynatrace

SEPTEMBER 2, 2020

As part of the Platform Extensions team, I’m one of those responsible for services that include the Dynatrace OneAgent SDKs, which are libraries that allow us to extend end-to-end visibility for technologies and frameworks for which there is no code module available yet. Custom code. What about proprietary code? Database calls.

Monitoring

Monitoring Cache Open Source Database

Simplicity meets power: Introducing the all-new Dynatrace Logs app

Dynatrace

OCTOBER 2, 2024

Even more importantly, how was the error handled, and did the process end successfully for the customer? For those who aspire to become power users, the new in-app DQL editor (Dynatrace Query Language) translates manually selected filters into the DQL code executed in the backend.

Azure

Azure DevOps Infrastructure Cloud

Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps

DevOps Metrics Engineering Analytics

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Synthetic monitors can be created with our innovative web recorder or through MONACO , our Monitoring-As-Code approach.

Monitoring

Monitoring Software Software DevOps

Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

NOVEMBER 7, 2023

Monitoring-as-code can also be configured in GitOps fashion. Open source logs and metrics take precedence in the monitoring process. GitOps uses Infrastructure as Code (IaC) and Configuration as Code (CaC) to enable automated and efficient management of cloud-native applications and infrastructure. See for yourself.

Engineering

Engineering DevOps Best Practices Infrastructure

DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

DECEMBER 8, 2022

DevOps teams are responsible for all phases of the software development lifecycle, from code commit to the deployment of products and services. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services. Infrastructure as code (IaC) configuration management tool.

DevOps

DevOps Engineering Testing Open Source

The anatomy of the Spring4Shell vulnerability and how to prevent its effects—and those of similar vulnerabilities

Dynatrace

APRIL 14, 2022

With a critical CVSS rating of 9.8 , Spring4Shell leaves affected systems vulnerable to remote code execution (RCE). Once Spring maps our DemoObject, we can use the message attribute as a variable in the HTML code shown in Figure 3, which gets rendered in the browser shown in Figure 4. What is the Spring Framework?

Java

Java Servers Code Open Source

Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

AUGUST 17, 2023

We also use Micrometer to analyze ingest queue processing speed, which helps us make decisions about adding resources. We’ll demonstrate this with a demo Spring application, which uses the Spring Web and Dynatrace Micrometer registry, as shown below. In these cases, the Dynatrace Operator for Kubernetes provides enrichment as well.

Metrics

Metrics Analytics Speed Java

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

Dynatrace

AUGUST 2, 2021

To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Often referred to as calculated metrics (see Adobe Analytics and Google Analytics ), such metric processing takes one or more existing metrics as input to create a new user-defined metric.

Metrics

Metrics Analytics Google Code

AWS observability: AWS monitoring best practices for resiliency

Dynatrace

NOVEMBER 22, 2021

Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code. Watch demo now!

Best Practices

Best Practices AWS Monitoring Serverless

Kubernetes workload troubleshooting with metrics, logs, and traces

Dynatrace

OCTOBER 21, 2021

Dynatrace Davis , our deterministic AI, recently notified our teams about a problem in one of our Keptn instances we just recently spun up to demo our automated performance analysis capabilities orchestrated by Keptn. Like this unhandled exception leading to a crash of the process.

Metrics

Metrics DevOps Engineering Strategy

What is full stack observability?

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Check out the on-demand Power Demo, Dynatrace and Business Observability: Tying IT Metrics to Business Outcomes. See observability in action! Watch webinar now!

DevOps

DevOps Innovation Infrastructure Cloud

What is Google Cloud Functions?

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. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google

Google Cloud Serverless Azure

Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

AUGUST 12, 2020

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

Serverless

Serverless Azure Monitoring Lambda

Dynatrace named a launch partner of Amazon EKS Blueprints

Dynatrace

APRIL 20, 2022

This new service is a step forward to enhance the user experience with code-driven automation of Kubernetes EKS and the Dynatrace Intelligent Observability Platform. The advanced observability gained for the EKS infrastructure gives teams code-level detail, context, and tracing to every service the application touches.

AWS

AWS Open Source Infrastructure Best Practices

Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

FEBRUARY 10, 2021

Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. For more information visit our web page and watch the demo or read my Application Security blog.

Java

Java Open Source Engineering Database

Connect your software with the right people: Ownership drives effective collaboration

Dynatrace

MARCH 28, 2023

All such automation is available while your environment is continuously enriched with additional contextual information that connects the responsible teams with your software development process. Additionally, you can request a demo or proof of concept for automating your incident management. Visit our YouTube channel for full details.

Software

Software Software Monitoring Software Engineering

Proactive self-monitoring ensures seamless operations for Dynatrace Managed at scale

Dynatrace

FEBRUARY 24, 2022

For example, a cluster utilization of 50% should allow you to roughly double the currently processed load before the cluster reaches its maximum capacity. trace processing?provides User actions processed per minute shows you the trend of user actions that are successfully processed, correlated with server-side?

Monitoring

Monitoring Metrics Analytics Processing

Uplevel production resiliency with automated problem remediation

Dynatrace

JULY 20, 2022

Further, it enables you to release with confidence by catching poor quality code before it reaches production. Process restarts (for example, JVM memory leaks) —Trigger a service restart or related actions for applications with underlying bug fixes that have been deprioritized or delayed. Reach out to us today for a demo.

DevOps

DevOps Cloud Innovation Tuning

Preparing for AI

O'Reilly

FEBRUARY 11, 2025

Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. AI writes buggy code? So do humansand AI seems to be getting better at writing correct code.

Programming

Programming Code Software Software

Part 2: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

SEPTEMBER 29, 2021

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. Example #3 – Automate Monitoring configuration as code. Below is a picture illustrating the use case of using Monaco as part of a code delivery pipeline.

Software

Software Software Open Source DevOps

Successful Kubernetes Monitoring – Three Pitfalls to Avoid

Dynatrace

NOVEMBER 4, 2019

As an example, Kubernetes does not deploy source code, nor does it have the capacity to connect application-level services. In fact, once containerized, many of these services and the source code itself is virtually invisible in a standalone Kubernetes environment. Code level visibility for fast problem resolution. Datacenters.

Monitoring

Monitoring Cloud Metrics Code

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics

Analytics Monitoring DevOps Artificial Intelligence

Dynatrace Application Security protects your applications in complex cloud environments

Dynatrace

DECEMBER 8, 2020

Teams are embracing new technologies and continuously deploying code. As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . D evelopment teams can accelerate DevSecOps processes through automation and the elimination of mundane work. .

Cloud

Cloud Open Source Internet Internet

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. The average request is handled, processed, and returned quickly. Data usage, request handling, and processing time accumulate. Services scale to meet demand.

Serverless

Serverless Efficiency Lambda AWS

What is log management? How to tame distributed cloud system complexities

Dynatrace

SEPTEMBER 8, 2022

Log monitoring is the process of continuously observing log additions and changes, tracking log gathering, and managing the ways in which logs are recorded. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight. These two processes feed into one another.

Cloud

Cloud Systems Analytics DevOps

Dynatrace KSPM: Transforming Kubernetes security and compliance

OpenTelemetry histograms reveal patterns, outliers, and trends

Trending Sources

The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Introducing Configurable Metaflow

Turbocharge Dynatrace App development with the new Visual Studio Code extension `Dynatrace Apps`

Build resilient IT systems and manage regulatory requirements with compliance and resilience capabilities from Dynatrace

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Code-level observability for Flutter apps drives great user experience

VMware Security Advisory VMSA-2025-0004: Quickly find, remediate, and automate

Troubleshooting Knative Prometheus GC Issues with Dynatrace

Unlock the power of contextual log analytics

Beyond “Prompt and Pray”

The right person at the right time makes all the difference: Best practices for ownership information

ConsoleMe: A Central Control Plane for AWS Permissions and Access

How Dynatrace boosts production resilience with Site Reliability Guardian

Generate security events from Dynatrace Security Investigator via OpenPipeline

Shift right in software development: Adapting observability for a seamless development experience

AWS serverless services: Exploring your options

End-to-end request monitoring for popular Python frameworks with OneAgent SDK

Simplicity meets power: Introducing the all-new Dynatrace Logs app

Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

DevOps engineer tools: Deploy, test, evaluate, repeat

The anatomy of the Spring4Shell vulnerability and how to prevent its effects—and those of similar vulnerabilities

Best of breed observability with Spring Micrometer and Dynatrace

Create compelling insights into business and operational KPIs through metric calculations in the Data explorer

AWS observability: AWS monitoring best practices for resiliency

Kubernetes workload troubleshooting with metrics, logs, and traces

What is full stack observability?

What is Google Cloud Functions?

Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace named a launch partner of Amazon EKS Blueprints

Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Connect your software with the right people: Ownership drives effective collaboration

Proactive self-monitoring ensures seamless operations for Dynatrace Managed at scale

Uplevel production resiliency with automated problem remediation

Preparing for AI

Part 2: How Dynatrace and GitHub help you deliver better software faster

Successful Kubernetes Monitoring – Three Pitfalls to Avoid

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace Application Security protects your applications in complex cloud environments

What is serverless computing? Driving efficiency without sacrificing observability

What is log management? How to tame distributed cloud system complexities

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