Dynatrace

MARCH 20, 2024

External dependencies Many applications rely on external services, such as databases, APIs, or third-party services. Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Consider a scenario where a web application depends on an external payment gateway.

Open Source 272

Open Source Hardware DevOps Infrastructure 272

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. Generated code becomes less maintainable.

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

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 142

Metrics Open Source Lambda Serverless 142

Dynatrace

JUNE 12, 2020

Dynatrace has long provided automatic code-level performance monitoring for PHP applications with OneAgent. PHP NG monitoring, a prerequisite, has been available since OneAgent version 1.179.) Automatically locate bottlenecks in your code. Understand why communication with the database takes a long time. to PHP 7.3.

Code 133

Code Monitoring Database Metrics 133

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 175

Metrics Monitoring Database Network 175

Dynatrace

FEBRUARY 28, 2024

Three steps in exploratory data analytics: Discover, browse, explore Grail captures heterogeneous data from across the network in one place while retaining its context and semantic details, which eliminates the limitations of traditional databases. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 215

Analytics Metrics Media Monitoring 215

Percona

OCTOBER 12, 2023

It shows which code paths are more busy on the CPU in given samples. That said, your application may not be in the list of supported languages, but if it’s compatible with any of the available profilers, you can still produce flame graphs. Flame graphs are a graphical representation of function calls. ✔ Launching profiler.

Code 106

Code Tuning C++ Benchmarking 106

Percona

AUGUST 2, 2023

Restoring a MySQL database backup is a crucial task that can sometimes be time-consuming, especially for large databases. Linux native Input/Output (I/O) statistics Pipe viewer utility By following these approaches, we can effectively monitor the restoration process and manage your MySQL database restoration efficiently.

Database 80

Database Monitoring C++ Speed 80

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 116

Metrics Analytics Programming Monitoring 116

Dynatrace

JULY 18, 2023

Gaining a complete picture of app health in hybrid environments As a starting point, teams should know if ArcGIS and other critical apps are available. While uptime is essential, availability doesn’t ensure optimal performance. This is why application performance monitoring (APM) is essential.

Government 223

Government Infrastructure Monitoring Database 223

HammerDB

OCTOBER 23, 2023

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. However, there can be a lack of understanding of the benefits that stored procedures bring or if you have a benchmarking tool or database that doesn’t support stored procedures, then you have nothing to compare against.

Benchmarking 62

Benchmarking Database Network C++ 62

Dynatrace

FEBRUARY 9, 2023

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. We recently extended the pre-shipped code-level API definitions to group logical parts of our code so they’re consistently highlighted in all code-level views.

Java 214

Java Metrics Servers Code 214

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. This unified approach enables Grail to vault past the limitations of traditional databases. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 187

Engineering Development Infrastructure Cloud 187

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. Dynatrace Grail data lakehouse offers a scalable, affordable way to store data long term while keeping all data always available for dashboarding and analysis.

Analytics 223

Analytics Metrics Database Storage 223

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. From here, it’s time to consider the next level of energy optimization, green coding. Level 3: Green coding The topic of carbon reduction in data centers was new to me when I began digging into it just two years ago.

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

DECEMBER 9, 2020

Most applications communicate with databases to, for example, pull a catalog entry or submit a new record when an order is placed. To achieve this, there must be a healthy connection between the application and the database. Application servers use connection pools to maintain connections with the databases that they communicate with.

Traffic 139

Traffic Performance Database Metrics 139

Dynatrace

APRIL 15, 2024

In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces. Causes can run the gamut, from coding errors and database slowdowns to hosting or network performance issues.

Infrastructure 214

Infrastructure Efficiency Government Transportation 214

Dynatrace

MAY 17, 2023

In the first part of this three-part series, The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces with OpenTelemetry , we talked about observability and how OpenTelemetry works to instrument applications across different languages and platforms. php declare(strict_types=1); require __DIR__.

Transportation 192

Transportation Metrics Best Practices Code 192

Dynatrace

JULY 7, 2022

One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.

Architecture 205

Architecture Serverless Azure Programming 205

Dynatrace

NOVEMBER 18, 2021

Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. With PurePath ® distributed tracing and analysis technology at the code level, Dynatrace already provides the deepest possible insights into every transaction. How to get started.

Analytics 228

Analytics Cloud Java Serverless 228

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 261

Cloud Azure Analytics Open Source 261

Dynatrace

MAY 8, 2023

The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. Provide metrics for improved site reliability. Application performance monitoring Application performance monitoring tracks the availability and performance of applications in the field.

DevOps 225

DevOps Efficiency Monitoring Infrastructure 225

Dynatrace

DECEMBER 2, 2021

Symptoms : No data is provided for affected metrics on dashboards, alerts, and custom device pages populated by the affected extension metrics. Impact : This issue affects only those extensions that use native libraries called from Python code distributed with the extension. General Availability (Build 1.231.196).

Lambda 199

Lambda Azure Metrics Monitoring 199

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

MARCH 17, 2021

A single OneAgent instance can handle the monitoring of many types of entities, including servers, applications, services, databases, and more. But what if a particular metric that’s crucial to your monitoring needs isn’t covered out of the box? By using these APIs, you can add metrics, events, and logs.

Metrics 173

Metrics Monitoring Network Technology 173

Dynatrace

FEBRUARY 15, 2023

Many organizations attempt to combine tools, products, and do-it-yourself solutions with custom code to fulfill custom use cases that are specific to their unique business requirements and technology stacks. From code to app to code Apps built with Dynatrace AppEngine can take different forms.

Government 168

Government Serverless Analytics Metrics 168

CSS Wizardry

JUNE 7, 2023

Around two and a half years ago, I debuted my Site-Speed Topography technique for getting broad view of an entire site’s performance from just a handful of key URLs and some readily available metrics. Now, without having to do any mental gymnastics at all, we can quickly see: How pages perform overall across all metrics.

Speed 131

Speed Metrics Website Database 131

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Better-quality code. Traditional databases help users and machines find data with a quick search. Indexing overhead. Poor root-cause analysis.

Analytics 220

Analytics Storage Retail Monitoring 220

Dynatrace

OCTOBER 4, 2022

Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments. They can call on dozens of databases and deliver gigabytes of data across myriad devices. where an error occurred at the code level.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

JULY 11, 2023

When exploiting the vulnerability, attackers can gain remote code injection capabilities in the MOVEit server and modify or steal sensitive data from its database. We can use metrics to detect anomalies, events to find unusual activities, and traces , which provide detailed insights into system activities.

Database 163

Database Government Games Servers 163

Dynatrace

MAY 9, 2022

Modernize the application, containerize the application, and refactor the code. Dynatrace is the only Kubernetes monitoring solution that provides full-stack observability without changing code, container images, or deployments. Repurchase. Migrate to SaaS or marketplace products. Decommission the application and infrastructure.

Strategy 204

Strategy Cloud Infrastructure Java 204

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 193

Azure Monitoring Virtualization Metrics 193

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 226

Google Cloud Serverless Azure 226

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Configuration of the CPU metrics can be changed in the dashboard.

Cloud 116

Cloud Serverless AWS Storage 116

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. Better-quality code. Traditional databases help users and machines find data with a quick search. Indexing overhead. Poor root-cause analysis.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

JANUARY 19, 2020

Having released this functionality in a Preview Release back in May 2019, we’re now happy to announce the General Availability of our SAP ABAP monitoring extension. No ABAP code instrumentation or injection is performed. Dynatrace news. Why SAP ABAP platform monitoring in Dynatrace? ABAP platform performance characterization.

Monitoring 154

Monitoring Best Practices Infrastructure Servers 154