SQL Performance

JULY 11, 2019

Last year, I got together with one of my dev teams at SentryOne – they call themselves the SQL Injectors – to talk about the possibility of replicating 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 or better).

Azure 90

Azure Servers Tuning Operating System 90

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. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 226

Cloud Serverless Hardware Operating System 226

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 171

Metrics Monitoring Database Network 171

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 209

Analytics Monitoring Artificial Intelligence DevOps 209

Dynatrace

JULY 7, 2022

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. VMs require their own operating system and take up additional resources. This helps to keep individual services more lightweight.

Architecture 200

Architecture Serverless Azure Programming 200

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Because it’s based on RHEL CoreOS, OpenShift can also update the underlying operating system the nodes are running on.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Dynatrace

AUGUST 24, 2020

When operating an application, it ’ s helpful to have deeper insights that show you what’s really going on. Metrics to find out how the behavior of a system has changed over time . Traces help find the flow of a request through a distributed system . OneAgent and its Operator .

Analytics 135

Analytics Infrastructure AWS Operating System 135

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. An orchestration platform needs to expose data about its internal states and activities in the form of logs, events, metrics, or transaction traces. Observability.

Open Source 301

Open Source Traffic DevOps Cloud 301

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

NOVEMBER 23, 2020

Fortunately, monitoring solutions are available to analyze and display such data, provide deep insights, and take automated actions based on those insights (for example, alerting or remediation). metrics, traces, and logs) to gain a better understanding of the behavior of their code during runtime. Operating system / Instance layer.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

Dotcom-Montior

OCTOBER 19, 2021

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. Nomad is another container orchestration platform.

Engineering 86

Engineering Open Source Programming Monitoring 86

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

Dotcom-Montior

FEBRUARY 19, 2022

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. Nomad is another container orchestration platform.

Engineering 52

Engineering Open Source Programming Monitoring 52

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.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 31, 2021

Horizontal Pod Autoscaler (HPA) adjusts the number of instances or replicas based on observed metrics. If a node becomes unhealthy, Kubernetes will reschedule the workload to run on a healthy node; if a healthy node is not available, Kubernetes can spin up a new machine using cluster autoscaling. Resource optimization.

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. There are also cases where although the workload and operational needs seem to best fit to one solution, there are other limiting factors that may be blockers (or at least need special handling).

AWS 52

AWS Database Serverless Storage 52

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. Version6: files metadata in MySQL, files stored in EOS/GCS/S3/Azure served via HTTP, search in Elasticsearch.

Architecture 52

Architecture Cache Azure Storage 52