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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. This is where large-scale system migrations come into play.
Accurately Reflecting Production Behavior A key part of our solution is insights into production behavior, which necessitates our requests to the endpoint result in traffic to the real service functions that mimics the same pathways the traffic would take if it came from the usualcallers. We call this capability TimeTravel.
This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. Thus, all data in one region is processed by the Flink job deployed within thatregion.
Having released this functionality in an Early Adopter Release with OneAgent version 1.173 and Dynatrace version 1.174 back in August 2019, we’re now happy to announce the General Availability of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux. Release details.
Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Implementing clustering and quorum queues in RabbitMQ significantly improves load distribution and data redundancy, ensuring high availability and fault tolerance for messaging services.
The control group’s traffic utilized the legacy Falcor stack, while the experiment population leveraged the new GraphQL client and was directed to the GraphQL Shim. This helped us successfully migrate 100% of the traffic on the mobile homepage canvas to GraphQL in 6 months. How does it work?
Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. It follows a push-based approach, ensuring messages are distributed to consumers as soon as they become available.
Unnecessary traffic between such data centers can result in wasted resources, unpredictable downtimes, and lost business. By minimizing bandwidth and preventing unrelated traffic between data centers, you can maintain healthy network infrastructure and save on costs. optimizing traffic routing. optimizing traffic routing.
We’re happy to announce the Early Adopter Release of OneAgent full-stack monitoring for Linux on the IBM Z platform, sometimes informally referred to as Z/Linux (available with OneAgent version 1.173 and Dynatrace version 1.174). For details on available metrics, see our help page on host performance monitoring. Dynatrace news.
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.
This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. What is Docker? Networking.
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. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.
For instance, consider how fine-tuned failure rate detection can provide insights for comprehensive understanding. Please refer to How to fine-tune failure detection (dynatrace.com) for further information. Let’s assume we created a service-availability SLO, monitoring the request failure count against the overall request counts.
You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Regional traffic evacuations. A regional traffic shift means one region ends up with zero traffic while another region has double.
Let’s consider the business challenges of an online shop that is powered by a microservice architecture where several instances of each microservice run, including the shopping cart service, to ensure the highest possible availability. With Dynatrace OneAgent you also benefit from support for traffic routing and traffic control.
With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Dynatrace Synthetic Monitoring ensures that your application is available and performs well from anywhere in the world to meet your SLAs. Dynatrace news.
In a world where 99.999% availability is the standard, measuring MTTR is a crucial practice to ensure resiliency and stability. This metric helps determine the effectiveness of your monitoring and detection capabilities in support of system reliability and availability. App availability. Application usage and traffic.
WAFs protect the network perimeter and monitor, filter, or block HTTP traffic. Compared to intrusion detection systems (IDS/IPS), WAFs are focused on the application traffic. RASP solutions sit in or near applications and analyze application behavior and traffic. How to get started.
Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Once you send metrics via the OneAgent REST API, the relevant hosts are automatically enriched with all available monitoring dimensions.
To ensure continuous availability, it‘s essential to proactively analyze potential problems and optimize the environment in advance to minimize the negative impact on users and improve user experience. The proper focus and best optimization level must be chosen wisely to get the most out of the available time.
Each of these errors is a canceled request resulting in a retry so this reduction further reduces overall service traffic by this rate: Errors rates per second. Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning.
However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Handling Bursty Traffic : Managing significant traffic spikes during high-demand events, such as new content launches or regional failovers.
To solve this, we’ve made the same Metric API available for OneAgent. The OneAgent metric API is the same line protocol-based REST interface, made available on OneAgent to support multidimensional metrics that additionally take full advantage of Dynatrace S martscape. . Stay tuned for Part 3 where we’ll show you how.
DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT.
Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC. 43416 5001 52.213.180.42
Whether tracking internal, workload-centric indicators such as errors, duration, or saturation or focusing on the golden signals and other user-centric views such as availability, latency, traffic, or engagement, SLOs-as-code enables coherent and consistent monitoring throughout the environment at scale.
Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. For details on available metrics, see host performance monitoring. For details on available reports and metrics, see our network monitoring guidelines. Stay tuned for more details.
Since there were no existing solutions available, we needed to build them ourselves. To improve availability, we designed systems where components could fail separately and avoid single points of failure. Our internal IPC traffic is now a mix of plain REST, GraphQL , and gRPC.
Powered by PurePath data, you can analyze and optimize any kind of data in Dynatrace, splitting it based on every available dimension. Highest availability and security out-of-the-box. Dynatrace provides the highest availability and security out of the box, making it suitable for large government projects.
For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. Here, we can find statistics on the overall availability of the database, connections, queries, and errors. What is OneAgent?
Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. To mitigate these issues, we implemented adaptive pagination which dynamically tunes the limits based on observed data.
Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Designed with High Availability in mind. Writing events to any output.
Now, that same full-spectrum value is available at the massive scale of the Dynatrace Grail data lakehouse. For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity.
Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Designed with High Availability in mind. Writing events to any output.
When it comes to enterprise-level databases, there are several options available in the market, but PostgreSQL stands out as one of the most popular and reliable choices. PostgreSQL supports sharding, which allows data to be distributed across multiple servers, making it ideal for high-traffic websites and applications.
For example, when running tests, the state of the device will change from “available for testing” to “in test.” As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time. Over the lifecycle of a device connected to the RAE, the device can change attributes at any time.
And it added to the network traffic in terms of new version distribution. exe files is available with OneAgent version 1.167 and Dynatrace SaaS version 1.168. Stay tuned for more announcements on other changes and improvements related to OneAgent installer for Windows, coming to this Dynatrace Blog page shortly!
We started seeing signs of scale issues, like: Slowness during peak traffic moments like 12 AM UTC, leading to increased operational burden. Meson was based on a single leader architecture with high availability. At Netflix, the peak traffic load can be a few orders of magnitude higher than the average load.
The flip side of speeding up delivery, however, is that each software release comes with the risk of impacting your goals of availability, performance, or any business KPIs. Typical Dynatrace use cases cover SLOs for service availability, web application performance, mobile application availability, and synthetic availability.
And if your blog got Slashdotted or just a high level of traffic in general? Then you might need to delve into MySQL tuning and replicas. Out of the box, MySQL was fine for a decent amount of traffic but would fall over pretty quickly if hit with a sustained burst of traffic. Try Percona Distribution for MySQL today!
Dynatrace knows critical details about the application in addition to the CVSS of a vulnerability; its real-user sessions, if it’s connected to a database, if it’s reachable from the public internet, if it has heavy or low traffic, and which other services it’s talking to. Stay tuned – this is only the start.
From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Data connectivity across Netflix Studio and availability of Operational Reporting tools also incentivizes studio users to avoid forming data silos. Please stay tuned! Endnotes ¹ Inmon, Bill.
Resource groups permit assigning threads running within MySQL to particular groups so that threads execute according to the resources available to this group. MySQL determines, at startup, how many virtual CPUs are available. Then we need to see IF implementing the tuning will work or not. I am talking about resource groups.
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