Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure.

Database 239

Database DevOps Analytics Servers 239

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 205

Java Metrics Servers Code 205

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. Grail enables 100% precision insights into all stored data.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

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. What is Prometheus?

Metrics 175

Metrics Engineering Energy Tuning 175

Dynatrace

NOVEMBER 3, 2021

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Dynatrace

AUGUST 10, 2023

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. Additionally, Dynatrace business events enable organizations to explore and analyze large, long-term data sets without pre-indexing, which allows for flexible and comprehensive data analysis.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

Dynatrace

JULY 31, 2020

We’re happy to announce that with Dynatrace version 1.198, we’ve dramatically improved CPU analysis, allowing you to easily understand CPU consumption over time, in the context of your workloads. All deeper analysis actions are performed across the entire timeframe. Fully automated code-level visibility.

Monitoring 227

Monitoring Performance Java Processing 227

Dynatrace

NOVEMBER 1, 2021

As cloud applications have become the norm, the databases that power these applications are now typically run as managed services by cloud providers. Optimizing cloud services can prove quite challenging because logs, metrics, and traces are not always put together in context, and you don’t have access to the underlying hosts.

Azure 192

Azure Database Performance Monitoring 192

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 244

Metrics Analytics Storage Monitoring 244

DZone

JUNE 15, 2023

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. The platform uses a pull-based architecture to collect metrics from various targets.

Open Source 286

Open Source Metrics Efficiency Architecture 286

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 178

Infrastructure Metrics Network Monitoring 178

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java 185

Java Analytics Best Practices Monitoring 185

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 206

Analytics Metrics Media Monitoring 206

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 201

Cache Azure Infrastructure Monitoring 201

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 168

Metrics Monitoring Database Network 168

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. JMX monitoring extensions are currently being migrated. Extensions can monitor virtually any type of technology in your environment. Comprehensive metrics support Extensions 2.0

Technology 243

Technology Technology Scalability Availability 243

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

JULY 18, 2023

This is why application performance monitoring (APM) is essential. An advanced observability strategy includes end user experience monitoring to evaluate digital experiences—such as a website or mobile application—from the user’s perspective. While uptime is essential, availability doesn’t ensure optimal performance.

Government 215

Government Infrastructure Monitoring Database 215

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Apache Cassandra is an open-source, distributed, NoSQL database. Cassandra is also essential to Dynatrace because it is integral to our monitoring solution.

Azure 234

Azure Latency Metrics Infrastructure 234

Dynatrace

OCTOBER 15, 2021

OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Monitoring begins here. Span ingestion.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

JANUARY 31, 2024

Identify and remove blind spots and monitoring gaps with the new Discovery & Coverage app to mitigate risks The first step to enhance system reliability is identifying and removing blind spots by eliminating monitoring gaps. The new Discovery & Coverage app helps achieve these full monitoring coverage goals.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

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 213

Technology Technology Metrics Infrastructure 213

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

DECEMBER 18, 2020

Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? At Dynatrace we live and breathe the concept of “Drink Your Own Champagne” (DYOC), so of course, I want to use Dynatrace to monitor my apps.

Analytics 135

Analytics Metrics IoT Monitoring 135

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 92

Monitoring Tuning Metrics Servers 92

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 196

Infrastructure Monitoring Virtualization Serverless 196

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 182

Analytics Innovation Metrics Database 182

Dynatrace

NOVEMBER 1, 2022

Developing, deploying, and monitoring the release of native mobile apps is not an easy process. To effectively and efficiently get mobile apps out the door, monitor their performance, and manage subsequent releases, mobile DevOps practitioners can play an integral role. Crash analysis. Error rate analysis.

Mobile 130

Mobile DevOps Monitoring Traffic 130

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Poor root-cause analysis. Indexing overhead.

Analytics 211

Analytics Storage Retail Monitoring 211

Dynatrace

OCTOBER 22, 2021

We are changing the pricing for Log Monitoring v2, now ingested log events consume DDU. Removed deprecated endpoints /metrics/series and /metrics/descriptors in favor of /metrics/query and /metrics. We have added an in-product feature for users to share feedback about Davis in problem analysis views.

Metrics 210

Metrics Monitoring Storage Database 210

The Netflix TechBlog

JUNE 13, 2023

A small percentage of production traffic is redirected to the two new clusters, allowing us to monitor the new version’s performance and compare it against the current version. By tracking metrics only at the level of service being updated, we might miss capturing deviations in broader end-to-end system functionality.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

MAY 31, 2019

We’re proud to announce the Early Access Program (EAP) for monitoring of SAP ABAP performance from the infrastructure and ABAP application platform perspective. Why SAP ABAP platform monitoring in Dynatrace? What is ABAP platform monitoring? Monitoring is purely remote and implemented using public SAP ABAP interfaces.

Monitoring 160

Monitoring Best Practices Infrastructure Programming 160

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 215

Analytics Metrics Database Storage 215

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