Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 183

Analytics Storage Retail DevOps 183

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 225

Analytics Cloud Java Serverless 225

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos. Lack of real-time context.

Analytics 190

Analytics Strategy Storage Technology 190

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Instead, we want to focus on detecting and stopping attacks before they happen: In your applications, in context, at the exact line of code that is vulnerable and in use.

Analytics 197

Analytics AWS Strategy Infrastructure 197

Dynatrace

NOVEMBER 3, 2023

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. Comprehensive metrics support Extensions 2.0 Extensions 2.0

Technology 248

Technology Technology Scalability Availability 248

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. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 187

Artificial Intelligence Analytics Efficiency Database 187

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 151

Metrics Open Source Tuning Analytics 151

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 141

Metrics Open Source Lambda Serverless 141

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Establish BizDevOps collaboration by sharing business context with IT in real time.

Analytics 138

Analytics Mobile Airlines Monitoring 138

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Achieving the ideal state with aggregated, centralized log data, metrics, traces , and other metadata is challenging—particularly for multicloud environments.

Analytics 222

Analytics Storage Infrastructure Metrics 222

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. The sheer number of permutations can break traditional databases.

DevOps 185

DevOps Analytics Storage Metrics 185

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

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. Dynatrace news.

Technology 219

Technology Technology Metrics Infrastructure 219

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 183

Engineering Development Infrastructure Cloud 183

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 260

Cloud Azure Analytics Open Source 260

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 173

Metrics Database Monitoring Network 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 165

Government Serverless Analytics Metrics 165

Dynatrace

SEPTEMBER 23, 2021

This gives operations teams end-to-end visibility down to the code level. AI-powered analytics —Automatic root cause detection . The team follows the error to the back end and sees that the issue comes from a query originating from an AWS Lambda Python service to the DynamoDB database, resulting in a 400 Bad Request Error. .

AWS 225

AWS Lambda Serverless Metrics 225

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 210

Java Metrics Servers Code 210

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 188

Cloud DevOps Open Source Retail 188

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 210

Cloud Energy Best Practices Cache 210

CSS Wizardry

NOVEMBER 3, 2020

Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. See entry 6.

Speed 292

Speed Ecommerce Metrics Analytics 292

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. New analytics view for message queues.

Lambda 195

Lambda Azure Metrics Monitoring 195

Dynatrace

JANUARY 5, 2022

Therefore, we implemented Dynatrace in almost all major applications for our customers to gain visibility from end-user to code-level and to reduce time with problem fixing and pro-active scalability optimizations by using Dynatrace’s AI-based root cause analysis. Our customers usually involve us 2-4 weeks before the production release.

Testing 219

Testing Open Source Metrics Infrastructure 219

Percona

JANUARY 3, 2024

A couple of weeks ago, we announced the first GA release of the PMM Dump : a new support tool that dumps Percona Monitoring and Management (PMM) metrics and Query Analytics (QAN) data to transfer to the expert engineer for review and performance suggestions. That blog introduced a command-line interface. A week later, PMM 2.0.41.0

Monitoring 91

Monitoring Open Source Database Servers 91

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JUNE 6, 2019

This category hosts many single-purpose projects and solutions that focus either on metrics, traces, or logs. Dynatrace is the first and only solution to provide full-stack visibility into containerized workloads with zero changes required to your code or deployments. Automatic monitoring of applications running in Kubernetes pods.

Monitoring 165

Monitoring Tuning Metrics Analytics 165

Dynatrace

MAY 27, 2022

At Dynatrace Perform 2022 , David Walker, a Lockheed Martin Fellow, and William Swofford, a full-stack engineer at Lockheed Martin, discuss how to create a self-diagnosing and self-healing IT server environment using this AIOps combination for auto-baselining, auto-remediation, monitoring as code, and more. An example of the self-healing web.

Artificial Intelligence 188

Artificial Intelligence Innovation Servers Database 188

Dynatrace

SEPTEMBER 29, 2021

Developer tools for building container images : Docker Build creates a container image, the blueprint for a container, including everything needed to run an application – the application code, binaries, scripts, dependencies, configuration, environment variables, and so on. Observability. Here are some examples.

Open Source 303

Open Source Traffic DevOps Cloud 303

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ).

Open Source 78

Open Source Healthcare Social Media Database 78

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs. Advanced Cloud Observability.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? The growth of Azure cloud computing.

Azure 137

Azure Serverless IoT Lambda 137

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dynatrace

NOVEMBER 10, 2022

Containers are portable, self-contained operating environments that include applications and the dependencies they need to run, such as databases, middleware, and frameworks. Organizations can combine cloud-native services to build applications with unique value enabled by the cloud, such as advanced analytics, mobile apps, and chatbots.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

High Scalability

FEBRUARY 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. View and analyze all your logs and system metrics from multiple sources in one place.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. View and analyze all your logs and system metrics from multiple sources in one place.

Software 122

Software Software Analytics Infrastructure 122