Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 25, 2023

Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. What are serverless applications?

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

MAY 12, 2022

To stay tuned, keep an eye on our release notes. Fixed showing a warning message on the Kubernetes settings page, if Kubernetes events are enabled, while Log Monitoring v2 is disabled. (K8S-2150). Fixed an issue with “500 Internal Server Error” response of Anomaly detection – Disk events API. (APM-370270).

Tuning 192

Tuning Metrics Cloud Mobile 192

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 255

Open Source Metrics Analytics Tuning 255

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. Technically, ReportServerTempDB can be recreated by a script in the event of a disaster, however Reporting Services cannot start without ReportServerTempDB.

Tuning 67

Tuning Servers Database Best Practices 67

The Netflix TechBlog

NOVEMBER 14, 2023

Input : List of source tables and required processing mode Output : Psyberg identifies new events that have occurred since the last high watermark (HWM) and records them in the session metadata table. Stay tuned for a new post on this! Psyberg Initialization The workflow starts with the Psyberg initialization (init) step.

Tuning 244

Tuning Processing C++ Efficiency 244

The Netflix TechBlog

JUNE 7, 2021

The Flow Exporter also publishes various operational metrics to Atlas. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. Flow Collector consumes two data streams, the IP address change events from Sonar via Kafka and eBPF flow log data from the Flow Exporter sidecars.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

NOVEMBER 14, 2023

Allow for flexibility Custom query variables are available to fine-tune guardian objectives and maintain flexibility in fetching data from Grail. In many cases, you want to retrieve the logs, metrics, or traces of a particular version, which is unknown upfront. Fully functional and pre-configured guardian for a Kubernetes workload.

Government 194

Government Best Practices DevOps Engineering 194

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. The latest version detected can be influenced by environment variables, Kubernetes labels, and events ingestion. Component levels information events such as releases and configuration changes.

Software 246

Software Software Open Source Azure 246

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. The RAE is configured to be effectively a router that devices under test (DUTs) are connected to.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

MAY 17, 2023

The Workflows screenshot below shows that a task is triggered by a change event related to the application, execution of the guardians, and final aggregation of the results. In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™.

DevOps 187

DevOps Traffic Latency Best Practices 187

Percona

JANUARY 2, 2024

This server is not intended to be a perfectly tuned one but just a baseline to compare the behavior under different concurrency configurations. This is especially important when the thread pool is used because it is where it should outperform the one-thread-per-connection setting.

Benchmarking 84

Benchmarking Servers Tuning C++ 84

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Legacy Profiler "Standard" trace events. For some reason this thing will not go away!

Azure 96

Azure Database Tuning Network 96

The Netflix TechBlog

OCTOBER 15, 2019

Delta is an eventual consistent, event driven, data synchronization and enrichment platform. Another thread or process is constantly polling events from the log table and writes them to one or multiple datastores, optionally removing events from the log table after acknowledged by all datastores.

Transportation 192

Transportation Architecture Processing Storage 192

Percona

OCTOBER 12, 2023

Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users. The kubectl-flame container has the hostPID option enabled, and this provides visibility of the underlying Kubernetes node process ID namespace to collect system events from running processes on the host.

Code 109

Code Tuning C++ Benchmarking 109

Dynatrace

JULY 24, 2023

They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.

DevOps 220

DevOps Traffic Efficiency Servers 220

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

Dynatrace

JULY 16, 2021

For an overview of Keptn, I can also recommend watching our cdCON talk Behind the Scenes of Keptn: Event-Driven Delivery & Ops Orchestration. Automatically configure Dynatrace, e.g., dashboards, management zones, metrics. Stay tuned, stay connected, stay healthy! Ready to create your first release validation automation?

DevOps 244

DevOps Open Source Cloud Azure 244

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

OCTOBER 18, 2019

The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc., And finally each new observation needs to update the policy, compute offline policy evaluation metrics and then push the policy back to production so it can generate new intents to treat.

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

The Netflix TechBlog

OCTOBER 18, 2019

The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc., And finally each new observation needs to update the policy, compute offline policy evaluation metrics and then push the policy back to production so it can generate new intents to treat.

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

HammerDB

OCTOBER 18, 2018

you can now do that with Oracle Metrics. . To get started with Oracle metrics use the previous option for CPU metrics that now shows the service name and system user and password. To get started with Oracle metrics use the previous option for CPU metrics that now shows the service name and system user and password.

Benchmarking 40

Benchmarking Monitoring Performance C++ 40

Tim Kadlec

MAY 21, 2020

The script watches for when someone hovers over a link and then, when they do, uses the prefetch resource hint to get started fetching that page before the click event even occurs. It looks like at the median most metrics have been improving a little. It’s a pretty clever approach. I like the idea, in theory, quite a bit.

Testing 128

Testing Traffic Tuning Metrics 128

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 140

Metrics Open Source Lambda Serverless 140

Rigor

SEPTEMBER 11, 2019

Jake is a frequent speaker at many popular conferences and events, such as 100 Days of Google Dev , JAMstakConf , JSConf , SmashingConf , and dozens of others. Sergey is a principal engineer at Meetup and a well-known performance educator who regularly runs monthly hands-on Meet4SPEED events in New York City. Maximiliano Firtman.

Performance 89

Performance Education Google Website 89

Dynatrace

APRIL 20, 2022

We wanted to expand and provide business process metrics (# of total orders per restaurant, orders canceled ratios, time per order, ingredients in or out of stock …) to quickly react to any issues and also get automatically alerted on anomalies. To do that our developers use frameworks such as Micrometer to expose their own metrics (e.g.:

Metrics 200

Metrics Mobile Internet Internet 200

Dynatrace

AUGUST 1, 2019

With Dynatrace Log monitoring, you’re only one click away from investigating the log events that were captured during the problem time frame and beginning any required remediation efforts. There are no changes to your currently used log events. Your currently used log events will continue to be operational.

Monitoring 30

Monitoring Metrics Tuning Operating System 30

Dynatrace

APRIL 21, 2022

To stay tuned, keep an eye on our release notes. You can create custom log metrics for smarter and faster troubleshooting, and you will be able to understand log data in the context of your full stack, including real user impacts. The display name is now required in metric metadata. New features and enhancements. Dashboards.

Azure 216

Azure Metrics AWS Monitoring 216

Dynatrace

MAY 28, 2024

What about correlated trace data, host metrics, real-time vulnerability scanning results, or log messages captured just before an incident occurs? Stay tuned for even wider support of log data embedded seamlessly into the context of Dynatrace Apps, and better ways to get answers from logs without writing queries.

Analytics 130

Analytics Infrastructure Database Monitoring 130

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 198

AWS Cloud Lambda Analytics 198

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 186

Analytics Innovation Metrics Database 186

SQL Performance

OCTOBER 29, 2019

There are multiple methods to look at poorly performing queries in SQL Server, notably Query Store, Extended Events, and dynamic management views (DMVs). Extended Events provides data about the individual execution of queries, while Query Store and the DMVs aggregate performance data. Each option has pros and cons.

C++ 74

C++ Database Servers Tuning 74

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 171

Metrics Monitoring Database Network 171

The Netflix TechBlog

JUNE 14, 2023

So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render. We spent the next few months diving into these high-level metrics and fixing issues such as cache TTLs, flawed client assumptions, etc.

Traffic 353

Traffic Latency Cache Metrics 353

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 317

Availability Scalability Cloud Metrics 317

Dynatrace

APRIL 20, 2023

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. Business leaders can decide which logs they want to use and tune storage to their data needs. Dynatrace Grail unifies data from logs, metrics, traces, and events within a real-time model. Seamless integration.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

Smashing Magazine

MARCH 19, 2021

But we can’t really say just yet whether it had any impact on the business metrics — well, we’ll need to wait for a big book release to see that. You get access to all digital Smashing Books, webinars and receive many freebies and friendly discounts to events, services and products. ??. Smashing Podcast: Tune In And Get Inspired.

Mobile 140

Mobile Design Cache Code 140