Analysis, Metrics, Software and Tuning - Technology Performance Pulse

Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics

Metrics Engineering Energy Tuning

Support of OpenTelemetry metrics with enhanced AI capabilities

Dynatrace

MAY 18, 2022

With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams. Automation and intelligence for metrics at enterprise scale.

Metrics

Metrics DevOps Tuning Virtualization

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

Why applying chaos engineering to data-intensive applications matters

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Two random pods executing worker instances are killed.

Engineering

Engineering Tuning Latency Open Source

9 key DevOps metrics for success

Dynatrace

SEPTEMBER 28, 2021

Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. 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.

DevOps

DevOps Metrics Traffic Efficiency

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

The Netflix TechBlog

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This technique facilitates validation on multiple fronts.

Traffic

Traffic Latency Tuning Systems

Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Static vs. auto-adaptive baselining.

Metrics

Metrics Innovation Strategy Monitoring

Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. inventory and analysi s? Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Dynatrace news. SLO validation – ?Automatically

Software

Software Software Open Source Azure

New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Prometheus in Kubernetes ?and

Technology

Technology Technology Metrics Infrastructure

Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source

Open Source Metrics Analytics Tuning

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning

Tuning Database Performance Hardware

Dynatrace Named a Leader and Positioned Furthest for Vision and Highest in Execution in the 2023 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability

Dynatrace

JULY 10, 2023

Here is what a few of these customers say about Dynatrace: “ Dynatrace has been a game changer in our ability to respond to incidents, identify areas for performance tuning, and gain meaningful data from user behavior analysis.” Director of infrastructure, software sector “ Strong technology and stronger people.

Monitoring

Monitoring Retail Performance Government

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience.

Serverless

Serverless Lambda Azure AWS

How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

JUNE 7, 2021

Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services. The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network

Network Transportation AWS Cloud

Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

JUNE 8, 2021

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. Metric 2: number of requests in error. Creating a dashboard reporting your relevant KPI.

Metrics

Metrics Tuning Programming Systems

Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

NOVEMBER 9, 2021

The Android launch leveraged the open-source software decoder dav1d built by the VideoLAN, VLC, and FFmpeg communities and sponsored by AOMedia. While software decoders enable AV1 playback for more powerful devices, a majority of Netflix members enjoy their favorite shows on TVs.

Media

Media Open Source Efficiency Software Engineering

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring

Monitoring Social Media IoT Metrics

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Track log metrics and receive alerts without manually setting thresholds.

Cloud

Cloud Azure Analytics AWS

PostgreSQL Checkpoints, Buffers, and WAL Usage with Percona Monitoring and Management

Percona

NOVEMBER 9, 2023

In this blog post, we will discuss how to extend Percona Monitoring and Management (PMM) to get PostgreSQL metrics on checkpointing activity, internal buffers, and WAL usage. With this data, we’ll be able to better understand and tune our Postgres servers. You can search the blog for more information on this if needed.

Monitoring

Monitoring Tuning Metrics Servers

What are SLOs? How service-level objectives work with SLIs to deliver on SLAs

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. Generally, SLOs are important because they: Improve software quality.

Metrics

Metrics Best Practices DevOps Infrastructure

A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Stay tuned, stay connected, stay healthy!

DevOps

DevOps Open Source Cloud Azure

Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Dynatrace

JULY 21, 2020

The Dynatrace Software Intelligence Platform supports you on your way to the enterprise cloud with deep insights into containerized, scalable microservices on cutting-edge technologies like Red Hat OpenShift or Kubernetes. Metrics for WebSphere Application Server and WebSphere Liberty. Stay tuned! JDBC database connections.

Java

Java Government Database Programming

Scale your API operations with our version 2 APIs

Dynatrace

JUNE 2, 2020

Many use cases in your software development, delivery, and operations depend on the real-time data that your Dynatrace monitoring environment collects. Impact analysis of problems from multiple business perspectives. Example: GET /metric?fields=+aggregationTypes,-description. Example: GET /metric?fields=transformations,dimensionDefinitions.

Metrics

Metrics Scalability Tuning Monitoring

World’s first and only fully automatic observability for Golang services now extended to statically linked Go applications

Dynatrace

OCTOBER 15, 2020

The Dynatrace Software Intelligence Platform has long provided the industry’s first auto-instrumenting monitoring solution for Go. Accelerate problem resolution and troubleshooting with our automatic root cause analysis. Improve cloud platform management with deeper insights into platform metrics. So stay tuned!

Transportation

Transportation Monitoring Metrics Code

A guide to Autonomous Performance Optimization

Dynatrace

SEPTEMBER 15, 2020

During the Performance Clinic episode, I asked Stefano to tell us more about this changing world and how we can leverage automation, AI and machine learning to optimize modern software stacks despite the increased complexity. Akamas also enables you to automate the analysis of the experiment metrics in powerful ways.

Performance

Performance Java Metrics Cloud

How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Dynatrace news. What are quality gates? Using quality gates for measurable impacts.

Benchmarking

Benchmarking Latency Speed Software

Best Practices in Cloud Security Monitoring

Scalegrid

JANUARY 11, 2024

Advanced cloud security monitoring tools, like Exabeam Fusion SIEM and Sumo Logic, provide extensive analysis, integrate with existing infrastructure, and aid organizations in responding to threats while maintaining regulatory compliance and managing potential challenges in integration and functionality.

Best Practices

Best Practices Cloud Monitoring Strategy

Conducting log analysis with an observability platform and full data context

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. ” Weighing the value and cost of indexed databases vs. .

Analytics

Analytics Infrastructure Storage Efficiency

Best practices for alerting

Dynatrace

JULY 22, 2019

Basically, what we call “first-generation” monitoring software. Dynatrace belongs to the third generation of monitoring software where things have changed dramatically – for the better! It doesn’t apply to infrastructure metrics such as CPU or memory. Old School monitoring. Why is Dynatrace different?

Best Practices

Best Practices Artificial Intelligence Monitoring Tuning

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

Native support for IBM mainframe in Dynatrace provides end-to-end visibility and AI-powered answers

Dynatrace

MAY 6, 2019

Dynatrace extends AI-powered software intelligence platform to hybrid mainframe environments. Beyond just providing code visibility (for DB2 and DL/I as well), our Dynatrace z/OS modules leverage the Dynatrace Davis AI and automated root-cause analysis with zero configuration required. In-depth analysis at the source-code level.

Java

Java Programming Technology Technology

Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)

Dynatrace

FEBRUARY 5, 2020

In Part 1 of this blog series , we presented a few Dynatrace customer use cases for multidimensional analysis. For example, we presented how a multinational travel agency uses MDA to diagnose error rates per loyalty status to make sure that their premium customers have a perfect software experience.

Metrics

Metrics Code Tuning Monitoring

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

The Netflix TechBlog

FEBRUARY 13, 2024

These observations are from a particular type of A/B test that Netflix runs called a software canary or regression-driven experiment. Netflix also performs canary tests — software A/B tests between current and newer software versions. Strictly control false positive (false alarm) probabilities.

Testing

Testing Software Software Metrics

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

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics

Metrics Open Source Tuning Analytics

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

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

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. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic

Traffic Metrics Systems Strategy

Performance Testing - Tools, Steps, and Best Practices

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances.

Testing Tools

Testing Tools Best Practices Performance Testing Testing

Apply AI easily and drive automation at scale with the new Dynatrace Software Intelligence Hub

Dynatrace

FEBRUARY 9, 2021

The Dynatrace Software Intelligence Hub helps enterprises easily apply AI to all technologies and data sources and unlock automation at scale. You don’t even have to know which technologies are running to get information beyond observability plus automatic anomaly detection and root cause analysis.

Software

Software Software Technology Technology

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.

Metrics

Metrics Monitoring Database Network

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

DECEMBER 5, 2023

Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length. Even if some part of your codebase can be instrumented to collect observability data, having all three signal types (metrics, traces, and logs) is crucial.

Efficiency

Efficiency Architecture Energy Monitoring

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics

Analytics Innovation Metrics Database

World’s Top Web Performance Leaders To Watch

Rigor

SEPTEMBER 11, 2019

Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” Find his research and analysis on the HTTP Archive Discussion forums. Rick Byers. Rick Byers. ” He shares information about UX issues and the latest news from Chrome, with a web performance slant.

Performance

Performance Education Google Website

DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

JULY 24, 2023

DevOps automation example #3: Progressive delivery In software development and delivery, if an organization uses feature flags to control feature releases, the marriage of observability data and answer-driven automation becomes a formidable force. But it doesn’t stop there.

DevOps

DevOps Traffic Efficiency Servers

Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Support of OpenTelemetry metrics with enhanced AI capabilities

Trending Sources

Crucial Redis Monitoring Metrics You Must Watch

Why applying chaos engineering to data-intensive applications matters

9 key DevOps metrics for success

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

Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Part 1: How Dynatrace and GitHub help you deliver better software faster

New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Dynatrace Named a Leader and Positioned Furthest for Vision and Highest in Execution in the 2023 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

How Netflix uses eBPF flow logs at scale for network insight

Using SLOs to become the optimization athlete with Dynatrace

Bringing AV1 Streaming to Netflix Members’ TVs

How digital experience monitoring helps deliver business observability

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

PostgreSQL Checkpoints, Buffers, and WAL Usage with Percona Monitoring and Management

What are SLOs? How service-level objectives work with SLIs to deliver on SLAs

A three-step implementation guide to answer-driven SLO-based release validation

Transform mainframe applications into z/OS Java services with end-to-end transaction visibility and anomaly detection (Preview)

Scale your API operations with our version 2 APIs

World’s first and only fully automatic observability for Golang services now extended to statically linked Go applications

A guide to Autonomous Performance Optimization

How BizDevOps can “shift left” using SLOs to automate quality gates

Best Practices in Cloud Security Monitoring

Conducting log analysis with an observability platform and full data context

Best practices for alerting

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

Native support for IBM mainframe in Dynatrace provides end-to-end visibility and AI-powered answers

Multidimensional analysis 2.0: Analyze microservice-based metrics without code changes (Part 2)

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

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

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

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

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

Performance Testing - Tools, Steps, and Best Practices

Apply AI easily and drive automation at scale with the new Dynatrace Software Intelligence Hub

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

Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

World’s Top Web Performance Leaders To Watch

DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

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