Analysis, Availability, Code and Metrics - Technology Performance Pulse

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle. of Micrometer.

Metrics

Metrics Latency Java Cache

Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes

Dynatrace

JANUARY 17, 2020

In an existing application landscape, however, it can be difficult to get to those metrics. Dynatrace customers have the ability to leverage PurePath distributed tracing functionality in driving adhoc multidimensional analysis (MDA) on any kind of data available within their microservices. Here’s how Dynatrace customers do it.

Metrics

Metrics Code Tuning Programming

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

JANUARY 17, 2023

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics

Analytics Metrics Open Source Java

Dynatrace memory analysis helps Product Architects identify unknown unknowns

Dynatrace

FEBRUARY 9, 2023

Luckily, Dynatrace provides in-depth memory allocation monitoring, which allows fine-grained allocation analysis and can even point to the root cause of a problem. While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post.

Java

Java Metrics Servers Code

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle. of Micrometer.

Metrics

Metrics Latency Java Cache

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle. of Micrometer.

Metrics

Metrics Latency Java Cache

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Comprehensive metrics support Extensions 2.0

Technology

Technology Technology Scalability Availability

Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps

DevOps Latency Traffic Best Practices

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics

Metrics Monitoring Latency Cache

9 key DevOps metrics for success

Dynatrace

SEPTEMBER 28, 2021

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps

DevOps Metrics Traffic Efficiency

Analyze all AWS data in minutes with Amazon CloudWatch Metric Streams available in Dynatrace

Dynatrace

MARCH 31, 2021

For quite some time already, Dynatrace has provided full observability into AWS services by ingesting CloudWatch metrics that are published by AWS services. Amazon CloudWatch gathers metric data from various services that run on AWS. Dynatrace ingests this data to perform root-cause analysis using the Dynatrace Davis® AI engine.

AWS

AWS Metrics Availability Lambda

Upgrade to the Data explorer to level up your data visualizations and analysis

Dynatrace

SEPTEMBER 14, 2022

Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? A year ago, we introduced the Data explorer , the recommended tool for exploring and visualizing your metric data in Dynatrace. Stacked area and stacked column charts are now also available in the Data explorer.

Metrics

Metrics Analytics Monitoring Efficiency

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

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. While classic logging is an essential tool in debugging issues, it often lacks context and only provides snapshot information of one specific location in your code/application. What is OpenTelemetry?

Metrics

Metrics Open Source Traffic Cache

Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

JULY 11, 2023

Captures metrics, traces, logs, and other telemetry data in context. Smartscape topology mapping: Dynatrace uses its Smartscape technology to semantically map metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services.

Architecture

Architecture Availability Infrastructure Monitoring

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

Dynatrace

AUGUST 2, 2021

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics

Metrics Analytics Google Code

Reimagining Experimentation Analysis at Netflix

The Netflix TechBlog

SEPTEMBER 10, 2019

ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the start button. Getting Data with the Metrics Repo 2. Not at Netflix.

Metrics

Metrics Architecture Infrastructure Innovation

Boost application performance with improved CPU analysis across all your deep-monitored workloads

Dynatrace

JULY 31, 2020

While in classic bare-metal stacks CPU resources are made “available” through over-provisioning, in modern SaaS environments you only pay for those CPU resources that you use—no over-provisioning of resources is required. Fully automated code-level visibility. Easily identify and analyze your most impacting workloads.

Monitoring

Monitoring Performance Java Processing

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics

Metrics Open Source Monitoring Infrastructure

Discover the power of the Dynatrace platform on Azure with Azure Native Dynatrace Service

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure

Azure Cloud Metrics Innovation

Simplify observability for all your custom metrics (Part 5: Telegraf)

Dynatrace

FEBRUARY 3, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. Part 2 showed how to run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics

Metrics Open Source Monitoring Technology

Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

AUGUST 17, 2023

With PurePath® distributed tracing, method hotspots, service flows, memory, and GC analysis, Dynatrace earned its reputation.Since then, Spring and Dynatrace have matured and improved, especially for containers, cloud integrations, and Kubernetes. Soon after, Dynatrace built a registry for exporting Micrometer metrics.

Metrics

Metrics Analytics Speed Java

New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors

Dynatrace

AUGUST 5, 2020

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Ensure better user experience with paint-focused performance metrics. Dynatrace news.

Metrics

Metrics Monitoring Performance Benchmarking

Announcing enterprise-grade observability at scale for your OpenTelemetry custom metrics

Dynatrace

NOVEMBER 23, 2020

To ensure observability, the open source CNCF project OpenTelemetry aims at providing a standardized, vendor-neutral way of pre-instrumenting libraries and platforms and annotating UserLAnd code. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics

Metrics Open Source Tuning Analytics

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. It provides a good read on the availability and latency ranges under different production conditions.

Traffic

Traffic Latency Tuning Systems

AI techniques enhance and accelerate exploratory data analytics

Dynatrace

FEBRUARY 28, 2024

Exploratory data analytics is an analysis method that uses visualizations, including graphs and charts, to help IT teams investigate emerging data trends and circumvent issues, such as unexpected traffic spikes or performance degradations. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics

Analytics Metrics Media Monitoring

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. It has undergone security analysis and testing in accordance with AWS requirements.

AWS

AWS Metrics Analytics Government

Dynatrace expands Davis AI with Davis CoPilot, pioneering the first hypermodal AI platform for unified observability and security

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Identify all user sessions that contain conversion metrics (using Smartscape).

Best Practices

Best Practices Analytics Metrics Code

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

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps

DevOps Metrics Engineering Analytics

Nine ways technology executives can get significant business value with the right observability platform

Dynatrace

MAY 21, 2024

Dynatrace analytics capabilities, powered by hypermodal AI , enable executives to drive improved availability , strengthened security compliance , and heightened confidence in AI initiatives. Executives are shifting to proactive risk management, aiming to prevent availability issues and expedite remediation.

Technology

Technology Technology Analytics Storage

Announcing enterprise-grade observability at scale for OpenTelemetry custom metrics (Part 2)

Dynatrace

NOVEMBER 27, 2020

Welcome back to the second part of our blog series on how easy it is to get enterprise-grade observability at scale in Dynatrace for your OpenTelemetry custom metrics. In Part 1 , we announced our new OpenTelemetry custom-metric exporters that provide the broadest language coverage on the market, including Go , .NET record(value); }.

Metrics

Metrics Open Source Lambda Serverless

What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

FEBRUARY 21, 2024

Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC.

Speed

Speed Software Software Latency

Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. availability. Service-level objectives (SLOs).

Best Practices

Best Practices DevOps Latency Metrics

Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. OpenTelemetry has become a standard for collecting traces, metrics, and logs. Maintained under the Apache 2.0 However, Python models are trickier.

Open Source

Open Source Latency Metrics Java

Core Web Vitals: Practical metrics for optimal user experiences

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics

Metrics Google Website Speed

Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics

Analytics Storage Infrastructure Metrics

Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

APRIL 8, 2020

It prevents your application from fully leveraging the available CPU. Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. This resource is not available to your application. .

Speed

Speed Code Java Lambda

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

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses. What is OneAgent?

Metrics

Metrics Monitoring Database Network

Custom metrics for services enrich Dynatrace AI and dashboarding capabilities (EAP)

Dynatrace

MAY 16, 2019

Are you applying AI to the unique metrics and KPIs that matter most to the success of your digital business? Do you provide dashboards and analytics that combine technical and business metrics that are specific to your business? Dynatrace out-of-the-box metrics generally focus on availability, failure rate, and performance.

Metrics

Metrics Analytics Programming Monitoring

Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic

Traffic Metrics Systems Strategy

The Ultimate Guide to Database High Availability

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability

Availability Database Open Source Hardware

Driving your FinOps strategy with observability best practices

Dynatrace

MARCH 18, 2024

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. Suboptimal architecture design.

Best Practices

Best Practices Strategy Cloud AWS

Dynatrace and Adobe Experience Manager: Seamless end-to-end observability

Dynatrace

MARCH 1, 2024

This capability extends across devices and geographies and includes critical front-end monitoring use cases like performance and availability monitoring, troubleshooting, root cause analysis, complaint resolution, and understanding user behavior. You can now proactively detect availability and performance issues across the stack.

Analytics

Analytics Monitoring Website Efficiency

Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. Grail solves this scalability issue!

Analytics

Analytics Social Media Metrics Efficiency

Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

Dynatrace

AUGUST 9, 2023

As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans. This approach addresses classic security-driven log analysis and SIEM use cases, and includes threat hunting and looking for anomalies or IoCs.

Analytics

Analytics Metrics Database Storage

AI-driven analysis of Spring Micrometer metrics in context, with typology at scale

Multidimensional analysis 2.0: Analyze, chart, and report on microservices-based metrics without code changes

Trending Sources

Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace memory analysis helps Product Architects identify unknown unknowns

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

AI-driven analysis of Spring Micrometer metrics in context, with topology at scale

Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Automated Change Impact Analysis with Site Reliability Guardian

Crucial Redis Monitoring Metrics You Must Watch

9 key DevOps metrics for success

Analyze all AWS data in minutes with Amazon CloudWatch Metric Streams available in Dynatrace

Upgrade to the Data explorer to level up your data visualizations and analysis

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

Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

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

Reimagining Experimentation Analysis at Netflix

Boost application performance with improved CPU analysis across all your deep-monitored workloads

What is observability? Not just logs, metrics and traces

Discover the power of the Dynatrace platform on Azure with Azure Native Dynatrace Service

Simplify observability for all your custom metrics (Part 5: Telegraf)

Best of breed observability with Spring Micrometer and Dynatrace

New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors

Announcing enterprise-grade observability at scale for your OpenTelemetry custom metrics

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

AI techniques enhance and accelerate exploratory data analytics

Dynatrace partners with AWS to provide enterprise-grade, intelligent observability for custom OpenTelemetry metrics

Dynatrace expands Davis AI with Davis CoPilot, pioneering the first hypermodal AI platform for unified observability and security

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

Nine ways technology executives can get significant business value with the right observability platform

Announcing enterprise-grade observability at scale for OpenTelemetry custom metrics (Part 2)

What are quality gates? How to use quality gates to deliver better software at speed and scale

Site reliability done right: 5 SRE best practices that deliver on business objectives

Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Core Web Vitals: Practical metrics for optimal user experiences

Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Radically speed up your code by fixing slow or frequent garbage collection

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

Custom metrics for services enrich Dynatrace AI and dashboarding capabilities (EAP)

Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Ultimate Guide to Database High Availability

Driving your FinOps strategy with observability best practices

Dynatrace and Adobe Experience Manager: Seamless end-to-end observability

Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace unveils Security Analytics to elevate threat detection, forensics, and incident response

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