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Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.
The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Lead time for changes helps teams understand how effective their processes are.
To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing.
Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing. We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters.
For example, Dynatrace recently introduced the extraction of log-based metrics for JSON logs. FortiGate traffic logs store data elements in key-value pairs while NGINX custom access logs store events in arrays. Advanced processing on your observability platform unlocks the full value of log data. time + batchjob2.time)).
That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. In addition to tracing, observability also defines two other key concepts, metrics and logs. When software runs in a monolithic stack on on-site servers, observability is manageable enough. What is OpenTelemetry?
How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Logs and background requests are examples of this type of traffic.
Welcome to the blog series where we give you a deeper dive into the latest awesomeness around Dynatrace : how we bring scale, zero configuration, automatic AI driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.
Turnkey cluster overload protection with adaptive traffic management and control. By vastly increasing the number of PurePaths that are processed by a Dynatrace Managed cluster, your initial sizing considerations for Dynatrace Managed nodes and clusters may however end up being inadequate for supporting such volume.
Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Fewer expensive fixes. Adjustments must be made accordingly.
Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Existing data got updated to be backward compatible without impacting the existing running production traffic. For asynchronous processing, events are sent to Apache Kafka topics to be processed.
One issue that often complicates this process is the "noisy neighbor" problem. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch. The sched_wakeup and sched_wakeup_new hooks are invoked when a process changes state from 'sleeping' to 'runnable.'
Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. For instance, in a web shop, sales might vary by day of the week.
Each SNMP-enabled device provides access to its state and performance metrics in a simple and robust way that allows Dynatrace to fetch the metrics and run them through Davis®, our AI causation engine. Based on monitored traffic, Dynatrace OneAgent is capable of automatic recognition of topological relations. Events and alerts.
In February 2021, Dynatrace announced full support for Google’s Core Web Vitals metrics , which will help site owners as they start optimizing Core Web Vitals performance for SEO. To do this effectively, you need a big data processing approach. Dynatrace news. But you may be wondering, “how do I get started?”. 28-day lookbacks.
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.
Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.
VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.
The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Detect and respond to security threats like DDoS attacks or web application attacks by monitoring application traffic and logs.
By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. The performance SLO needs a custom SLI metric, which you can configure as follows.
This becomes even more challenging when the application receives heavy traffic, because a single microservice might become overwhelmed if it receives too many requests too quickly. Management processes make up the control plane, which coordinates the proxies’ behavior. Why do you need a service mesh?
It also enhances syslog messages with additional context and optimizes network traffic, improving overall system resilience and security. A $20 billion Germany-based financial services company told us they found the process of pushing Syslog messages to Dynatrace natively to be seamless.
VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. A full list of metrics can be found here and include dimensions such as the following: Packets. Log Metrics. What is VPC Flow Logs. The number of packets transferred during the flow. Resource type.
As a result, site reliability has emerged as a critical success metric for many organizations. By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. Service-level objectives (SLOs).
IoT is transforming how industries operate and make decisions, from agriculture to mining, energy utilities, and traffic management. Both methods allow you to ingest and process raw data and metrics. They enable real-time tracking and enhanced situational awareness for air traffic control and collision avoidance systems.
You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics 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.
A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.
However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs? Saturation.
Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces. Managing this change is difficult.
Organizations that have transitioned to agile software development strategies (including the adoption of a DevOps culture and continuous delivery automation) enforce automated solutions for such decision making—or at the very least, use automation in the gathering of a release-quality metrics. Each entry represents a process group instance.
To improve management of node capabilities , we added Enable/disable Web UI traffic operation for cluster node in Cluster Mission Control UI. Improved permission check to access process group settings and details page from process details page in case the user has permissions only in management zone. APM-290353). APM-292404).
The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? Option 1: Log Processing Log processing offers a straightforward solution for monitoring and analyzing title launches.
Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.
Keptn is currently leveraging Knative and installs Knative as well as other depending components such as Prometheus during the default keptn installation process. based sample service in a staging and production namespace, a Jenkins instance and execute some moderate load to “simulate constant production traffic”.
Exploratory data analytics is an analysis method that uses visualizations, including graphs and charts, to help IT teams investigate emerging data trends and circumvent issues, such as unexpected traffic spikes or performance degradations. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.
Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. Additionally, you can easily use any previously defined metrics and SLOs from your environments.
These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.
Dynatrace captures and provides organizations with the precursors of intent; dependencies, performance metrics, and prioritization which helps solve each organizations’ spontaneous production workload puzzle. T his leads to a manual, and often painful, process to map out multi-tier service dependencies. . Dependencies.
The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time.
For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. Integration with existing processes. The Dynatrace process involves a unique collaboration between AI and human experts. Resource constraints.
Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Minimized cross-data center network traffic. Cluster nodes reside in both data centers and they continuously process, store, and replicate data. Dynatrace news.
These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Identify key performance metrics specific to an organization.
For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. The elasticity of serverless services helps organizations scale as needed.
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