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

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. These tools integrate tightly with code repositories (such as GitHub) and continuous integration and continuous delivery (CI/CD) pipeline tools (such as Jenkins).

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

AUGUST 24, 2020

When operating an application, it ’ s helpful to have deeper insights that show you what’s really going on. To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . Metrics to find out how the behavior of a system has changed over time .

Analytics 134

Analytics Infrastructure AWS Operating System 134

SQL Performance

AUGUST 15, 2019

Last year, I got together with one of my dev teams here – they call themselves the SQL Injectors – to talk about the possibility of replicating SentryOne Plan Explorer functionality inside of Azure Data Studio. First, ensure you meet our requirements: Azure Data Studio 1.9.0 or newer ( July announcement post ).NET

Azure 50

Azure Servers Tuning Operating System 50

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 196

Architecture Serverless Azure Programming 196

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Just as the code is monolithic, so is the logging. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 223

Cloud Serverless Hardware Operating System 223

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It also extremely fast since it is a compiled language, meaning that the code written is converted automatically into machine code immediately. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 52

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Dynatrace

MAY 31, 2021

Containers and microservices: A revolution in the architecture of distributed systems. Cloud-native refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure-as-code. Examples include: Azure Kubernetes Service (AKS).

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Dynatrace news. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Percona

JULY 1, 2023

For those with applications already built on MySQL or PostgreSQL, migrating to Aurora is a straightforward process requiring minimal code changes, as it supports the same protocols, tools, and drivers. Percona Monitoring and Management (PMM) can also be used to gather metrics. Migration to RDS can be performed using Percona XtraBackup.

AWS 52

AWS Database Serverless Storage 52

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52