Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 183

Metrics Engineering Energy Tuning 183

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 206

DevOps Metrics Traffic Efficiency 206

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 248

Best Practices IoT Metrics Storage 248

Dynatrace

MARCH 29, 2023

Stay ahead of the curve with the OS Services extension for monitored hosts The new Dynatrace OS Services monitoring capability for Windows and Linux hosts (Systemd is required) ensures that your systems run efficiently and potential problems are addressed as soon as they arise. We’re always interested in your feedback.

Efficiency 130

Efficiency Monitoring Metrics Virtualization 130

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 231

Metrics Operating System Tuning Monitoring 231

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

Serverless 245

Serverless Efficiency Lambda Azure 245

Percona

APRIL 14, 2023

Considering the example from above, even if that bit of data being requested by the users is not found in memory and needs to be retrieved from disk, that slow operation will have to be performed only once for that batch of requests. How do you know if your MySQL database caching is operating efficiently? MySQL does.

Cache 88

Cache Efficiency Database Monitoring 88

Dynatrace

NOVEMBER 12, 2020

Recently, we simplified StatsD, Telegraf, and Prometheus observability by allowing you to capture and analyze all your custom metrics. Gain fine-grained access control for Prometheus, StatsD, and Telegraf metrics. To achieve this, you can now grant access to any single metric within a Dynatrace management zone.

Metrics 206

Metrics Retail Monitoring Analytics 206

Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

MAY 23, 2024

One-click activation of log collection and Azure Monitor metric collection in the Microsoft Azure Portal allows instant ingest of Azure Monitor logs and metrics into the Dynatrace platform. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below.

Azure 221

Azure Cloud Metrics Innovation 221

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. It goes beyond traditional monitoring—metrics, logs, and traces—to encompass topology mapping, code-level details, and user experience metrics that provide real-time insights.

DevOps 196

DevOps Engineering Artificial Intelligence Infrastructure 196

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies.

Software 96

Software Software Healthcare Mobile 96

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. Label-based access control is a security mechanism that allows companies to control who can access specific metrics based on their labels. to monitor and diagnose. +50

Metrics 104

Metrics Monitoring Database Engineering 104

Percona

NOVEMBER 6, 2023

With Percona Operators , users can easily deploy, monitor, and manage databases orchestrated by Kubernetes, making it easier and more efficient to run databases at scale. For example, PerconaServerMongoDBBackup resource has information about the backup, like the success or failure of the backup. Once captured, the metrics are exposed.

Metrics 68

Metrics Monitoring Database Cache 68

Dynatrace

NOVEMBER 9, 2023

Efficient coordination among resource usage, requests, and allocation is critical. It’s important to choose the right metrics to track based on your objective. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring.

Efficiency 279

Efficiency Monitoring Best Practices Open Source 279

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 212

Speed Software Software Latency 212

Dynatrace

FEBRUARY 1, 2024

Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment. Logs and metrics in context The Clouds app simplifies cloud operations by providing detailed logs and metrics in context. Metrics charts are available for each selected resource.

Cloud 210

Cloud Strategy Metrics Government 210

Dynatrace

JUNE 28, 2019

We’ve introduced a new framework for metrics that provides (1) a logical tree structure, (2) globally unique metric keys that ease integration between multiple Dynatrace environments, and (3) more flexibility to extend Dynatrace so it better fits your specific business use cases. Find metrics more quickly with metric categories.

Metrics 142

Metrics Monitoring Efficiency Availability 142

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors.

Cloud 257

Cloud Lambda AWS Analytics 257

Dynatrace

MAY 6, 2024

This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. Example implementation scenario #1 The diagram below illustrates configuration-event-based remediation with Dynatrace and Red Hat Ansible Automation Controller for a failing canary release.

DevOps 290

DevOps Software Engineering Games Java 290

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. New metric identifiers and structure.

Metrics 102

Metrics Efficiency Monitoring Azure 102

Dynatrace

MARCH 20, 2024

In this article, we’ll explore these challenges in detail and introduce Keptn, an open source project that addresses these issues, enhancing Kubernetes observability for smoother and more efficient deployments. Insufficient CPU and memory allocation to pods can lead to resource contention and stop Pods from being created.

Open Source 273

Open Source Hardware DevOps Infrastructure 273

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 246

Engineering Development DevOps Infrastructure 246

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 239

Energy Cloud Airlines Strategy 239

Dynatrace

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. For the most granular metrics and network insights, OneAgent is the optimal choice.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

OCTOBER 6, 2023

Table name Default bucket logs default_logs events default_events metrics default_metrics bizevents default_bizevents dt.system.events dt_system_events entities spans (in the future) The default buckets let you ingest data immediately, but you can also create additional custom buckets to make the most of Grail.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

FEBRUARY 9, 2024

This collaboration increases process efficiency and improves customer satisfaction by identifying opportunities for process improvement and detecting process anomalies in real time. Let’s examine a few practical business process monitoring examples. In Business Flow, choose a configured business event to represent each step.

Processing 195

Processing Monitoring Analytics Games 195

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

AUGUST 17, 2023

Spring also introduced Micrometer, a vendor-agnostic metric API with rich instrumentation options. Soon after, Dynatrace built a registry for exporting Micrometer metrics. Our data APIs, which ingest millions of metrics, traces, and logs per second, are reconciled using Micrometer-based metrics.

Metrics 203

Metrics Analytics Speed Java 203

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 238

Best Practices Strategy Cloud AWS 238

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

OCTOBER 30, 2023

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Moreover, by applying causal AI and topological mapping , a unified observability platform includes all the necessary data in context, making troubleshooting significantly more efficient and effective.

Best Practices 249

Best Practices Analytics Artificial Intelligence Infrastructure 249

Dynatrace

SEPTEMBER 14, 2022

Not every situation lends itself to AIOps—for example, think about data that either can’t be monitored cost efficiently (where real-time processing wouldn’t benefit you) or when creating ad hoc reports to check long-term trends and make tactical/strategic business decisions in a timely fashion.

Metrics 234

Metrics Analytics Monitoring Efficiency 234