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Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. You’re gathering a lot of data, but you can’t make sense of it. What are histograms, and why use them?
My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Automate smarter using actual customer experience metrics, not just server-side data. Using causal AI, we identified and resolved performance issues automatically.
Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.
Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Click on Select metric. Change it now to sum.
Time To First Byte: Beyond Server Response Time Time To First Byte: Beyond Server Response Time Matt Zeunert 2025-02-12T17:00:00+00:00 2025-02-13T01:34:15+00:00 This article is sponsored by DebugBear Loading your website HTML quickly has a big impact on visitor experience. But actually, theres a lot more to optimizing this metric.
That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough. In addition to tracing, observability also defines two other key concepts, metrics and logs. What is OpenTelemetry?
You can use it to visualize CPU utilization across your hosts, disk space used, server-side response time, web request/service failure rates, or any other area where you need to spot outliers immediately. That way, you can compare multiple charts more easily, regardless of the metric or time span.
To provide you with more value when monitoring hosts in infrastructure mode, we’re extending our infrastructure mode with a range of metrics that have until now only been available in full-stack mode. Monitor additional metrics. All of these metrics are now part of infrastructure mode. How to get access. initiative.
Agentless RUM, OpenKit, and Metric ingest to the rescue! Side note: it’s called “agentless,” because no OneAgent is running on the server that hosts the HTML, CSS, and JavaScript files. What insights can we gain from usage metrics that we can feed-back to our product management teams? App architecture. How can I segment them?
Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.
Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?
Testing the performance of an application by putting load on APIs or on servers and checking out various metrics or parameters falls under server-side performance testing. Whenever we need to do performance testing, mostly it is the APIs that come to mind.
Dynatrace captures all your data, including host and application metrics, basic-network metrics, real-user metrics, mobile metrics, cloud-infrastructure metrics, log metrics, and much more. You must procure hardware, install the OS on the server, install the application, and configure it.
The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. Also, since this logic resides on the server side, we can iterate on any required changes faster.
Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Multiple Prometheus servers might be required, creating significant maintenance efforts. and integration with?the?recently
You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical servermetrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.
Dynatrace provides servermetrics monitoring in under five minutes, showing servers’ CPU, memory, and network health metrics all the way through to the process level, with no manual configuration necessary. AL2023 is supported by Dynatrace on day one and has been thoroughly tested by our installations team.
Collect metrics on energy consumption or derive them from existing signals. Select data centers intelligently Sending fewer bytes saves energy on the server, client, and any device in between. Because energy consumption drives infrastructure costs, cost optimization and sustainability goals align.
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.
These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system. All you need to do is create five custom metrics – one per continent. Add the five metrics on a dashboard like the example below.
Easily track the health and performance of database servers with AI support. To simplify database monitoring and improve cross-team collaboration, Dynatrace released new extensions to leading databases, including Oracle and Microsoft SQL Server. There’s no need to manually configure necessary metrics or build dashboards.
Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.
It provides unified observability by automatically correlating logs and placing them in the context of traces and metrics. System health, performance troubleshooting, and debugging situations no longer require manual correlation of logs across multiple disconnected tools or servers.
Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. SAP server. It delivers vital enterprise applications to thousands of users.
Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it? An organization can ask Dynatrace, “Have you seen any oversized servers over X amount of time?” ” But Dynatrace goes further.
These events are promptly relayed from the client side to our servers, entering a centralized event processing queue. We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression. This queue ensures we are consistently capturing raw events from our global userbase.
Applications and services are often slowed down by under-performing DNS communications or misconfigured DNS servers, which can result in frustrated customers uninstalling your application. Identify under-performing DNS servers. Slower response times can be a sign of a stressed DNS server or network communication issues.
Define monitoring goals and user experience metrics Next, define what aspects of a digital experience you want to monitor and improve — such as website performance, application responsiveness, or user engagement — and prioritize what to measure for each application. The time taken to complete the page load. Time to first byte. Time to render.
With its ability to handle SSL offloading, distribute traffic across multiple servers, and provide security features like DDoS protection, application firewall, and SSL VPN, organizations of all sizes rely on F5 BIG-IP LTM to improve application performance, availability, and security. Example F5 overview dashboard.
framework , the SNMP extensions are a bundle of everything that’s needed (DataSource configuration, a dashboard template, a unified analysis page template, topology definition, entity extraction rules, relevant metric definitions and more) to get going with monitoring. Virtual servers. Pool nodes. Interfaces.
If you have a distributed environment with multiple servers hosting your webservers, app servers, and database, I suggest you install the OneAgent on all these servers to get full end-to-end visibility. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.
Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.
See all detected databases All databases running on your server instances are autodetected, so you can easily check your database performance statistics and settings. Drill down into further details You can review the availability and performance of high availability replicas and AlwaysOn groups in SQL Server.
To keep infrastructure and bare metal servers running smoothly, a long list of additional devices are used, such as UPS devices, rack cases that provide their own cooling, power sources, and other measures that are designed to prevent failures. While not the newest protocol, SNMP is still actively used and popular. Events and alerts.
Everyone knows that MongoDB has FTDC (Full-Time Diagnostic Data Capture), which helps MongoDB engineers analyze server behavior, tune parameters, and conduct forensic work when issues occur within their clusters. Here at Percona, we’ve been using the Keyhole tool for a while, and it’s great!
If the script has already performed writes to the server and must still be killed, use the SHUTDOWN NOSAVE to shutdown the server completely. In fact, this discussion applies to any high availability system that depends on polling the Redis servers for health: Long-running scripts will initially block client commands.
We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Dynatrace news. But first, a little preparation. Verify the new properties.
SLA is an agreement between client and server, It accounts for reliability, responsiveness and other service-level metrics. It’s more of a like service mesh, tracing and monitoring these services are very essential to adhere to SLA ( S ervice L evel A greement).
On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch.
I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?
However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). A lot of people surmise that TTFB is merely time spent on the server, but that is only a small fraction of the true extent of things. can all provide valuable insights. Expect closer to 75ms. It all gets added to your TTFB.
Another benefit of defining custom APIs is that the memory allocation and surviving object metrics are split by each custom API definition. Verification with Dynatrace custom metrics As Dynatrace also exposes key metrics about our message handler via JMX, we can use those metrics to investigate further.
Enable the Davis AI causation engine to automatically analyze every metric. In response to customer feedback, we’ve distilled the vital information provided within HANA DB performance views down to a short list of metrics that offer comprehensive, detailed, and reliable insights into HANA DB performance.
Prometheus collects metrics from a number endpoints that expose metrics in the OpenMetrics format. Prometheus components include client libraries for application code instrumentation, special-purpose exporters for popular services, and the optional Prometheus server for orchestrating service discovery and data storage.
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