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For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. How can neural networks fit into Netflix video encoding? Video encoding using a conventional video codec, like AV1.
For example, organizations typically utilize only 60% of their security tools. Traditional network-based security approaches are evolving. Enhanced security measures, such as encryption and zero-trust, are making it increasingly difficult to analyze security threats using network packets.
So, for example, if you need to seamlessly integrate metrics with logs for your workloads , you can create a customized view based on the pre-configured dashboard that consolidates all critical signals in one place, which is particularly essential for troubleshooting.
Why browser and HTTP monitors might not be sufficient In modern IT environments, which are complex and dynamically changing, you often need deeper insights into the Transport or Network layers. Is it a bug in the codebase, a malfunctioning backend service, an overloaded hosting infrastructure, or perhaps a misconfigured network?
By default, CloudWatch only provides a few basic metrics such as CPU and Networks. For example, if you need information about VM memory consumption, which AWS does not provide out of the box, you can configure the CloudWatch agent to collect this data.
Monitoring modern IT infrastructure is difficult, sometimes impossible, without advanced network monitoring tools. While the market is saturated with many Network Administrator support solutions, Dynatrace can help you analyze the impact on your organization in an automated manner. Sample SNMP-enabled device configuration. What’s next?
It now fully supports not only Network Availability Monitors but also HTTP synthetic monitors. Select any execution you’re interested in to display its details, for example, the content response body, its headers, and related metrics. The new Dynatrace Synthetic app allows you to analyze these results.
For example, if you’re monitoring network traffic and the average over the past 7 days is 500 Mbps, the threshold will adapt to this baseline. For example, if you have an SLA guaranteeing 95% uptime, you can set a static threshold to alert you whenever uptime drops below this value, ensuring you meet your service commitments.
Use cases Identifying misconfigurations: Continuously scanning cloud environments to detect misconfigurations (such as open network ports, missing security patches, and exposed storage buckets) to help maintain a secure, stable infrastructure. Cloud platforms (AWS, Azure, GCP, etc.)
It’s an approach that’s particularly powerful when teams use it to, for example, automatically identify patterns of security problems (such as unusual data flows) or find the root causes of issues. This blog originally appeared in Federal News Network. When we protect our systems, we’re also protecting them.
The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. Network traffic power calculations rely on static power estimations for both public and private networks.
Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.
With the constant evolution of this sector, the dynamic duo of AI and ML is revolutionizing the telecommunications industry, propelling it towards greater network efficiency, unparalleled customer service, and fortified security measures. Here's an example of how machine learning can optimize network performance:
Scalability is a fundamental concept in both technology and business that refers to the ability of a system, network, or organization to handle a growing amount of requests or ability to grow. In this article, we will explore the definition of scalability, its importance, types, methods to achieve it, and real-world examples.
Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft. As an example, imagine an analyst wanting to create a Total Streaming Hours metric. For example, LORE provides human-readable reasoning on how it arrived at the answer that users can cross-verify.
Please see the sample queries appendix for an example query to get started. Check out the Network functions topic in the Dynatrace docs to learn more about the command. You can find an example query in the sample queries appendix. Example of suspicious and regular access pattern by the service account.
If you are a ScaleGrid customer, you can download the CA certificate file for your MongoDB clusters from the ScaleGrid console as shown here: So, a connection snippet would look like: >>> import pymongo >>> MONGO_URI = 'mongodb://rwuser:@SG-example-0.servers.mongodirector.com:27017,SG-example-1.servers.mongodirector.com:27017,SG-example-2.servers.mongodirector.com:27017/admin?replicaSet=RS-example&ssl=true'
Host Monitoring dashboards offer real-time visibility into the health and performance of servers and network infrastructure, enabling proactive issue detection and resolution. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Let’s begin by creating your dashboard.
These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email. A local endpoint in a protected network or DMZ is required to capture these messages. For example, you might want to enable and provide a certificate for the TLS protocol for secure message exchange.
As the number of 4K titles in our catalog continues to grow and more devices support the premium features, we expect these video streams to have an increasing impact on our members and the network. 1: Example of a thriller-drama episode showing new highest bitrate of 11.8 The last example, showing the new highest bitrate to be 1.8
For example, you might be using: any of the 60+ StatsD compliant client libraries to send metrics from various programming languages directly to Dynatrace; any of the 200+ Telegraf plugins to gather metrics from different areas of your environment; Prometheus, as the dominant metric provider and sink in your Kubernetes space.
It’s apparent that the most important features for feed ranking will be related to social network. Some of the keys of understanding the user network are listed below. For example, one user is a close follower of Elon Musk while another user can be a close follower of Gordon Ramsay. Who is the user a close follower of?
Power outages and network issues are common examples of challenges that can put your service — and your business — at risk. For more: Read the Report Employing cloud services can incur a great deal of risk if not planned and designed correctly.
I have generally held the view that replicating data to a secondary system is faster than sync-ing to disk, assuming the round trip network delay wasn’t high due to quality networks and co-located redundant servers. This is the first time I have benchmarked it with a realistic example. Little’s Law and Why Latency Matters.
For example, you can monitor the behavior of your applications, the hardware usage of your server nodes, or even the network traffic between servers. For that reason, we use monitoring tools. And there are a lot of monitoring tools available providing all kinds of features and concepts.
For example, have you ever seen a TV show where the video and audio were a little out of sync? This approach selects the audio bitrate based on network conditions at the start of playback. Adaptive streaming is a technology designed to deliver media to the user in the most optimal way for their network connection.
But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Synthetic Monitoring is used to simulate defined customer behavior, for example when opening a website and clicking a certain button. Dynatrace Kubernetes documentation .
Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. Load time and network latency metrics. Proactive monitoring.
Compressing them over the network: Which compression algorithm, if any, will we use? In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Connection One thing we haven’t looked at is the impact of network speeds on these outcomes.
Examples of such weaknesses are errors in application code, misconfigured network devices, and overly permissive access controls in a database. Network analysis looks for weaknesses within a network’s configurations and policies that would allow network access to unauthorized users. Analyze findings.
The control plane also provides an API so operators can easily manage traffic control, network resiliency, security and authentication, and custom telemetry data for each service. A service mesh enables DevOps teams to manage their networking and security policies through code. How service meshes work: The Istio example.
For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. Save on costs for hardware and network bandwidth to optimize total cost of ownership.
Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. For example, uptime detection can identify database instability and help to improve mean time to restoration. So, how does cloud monitoring work?
For example, some Proof-of-concept attacks have failed, and these failures write various error messages to the victims’ sshd logs. Analyze network flow logs Last but not least, your network logs are the ultimate source of data.
To function effectively, containers need to be able to communicate with each other and with network services. If containers are run with privileged flags, or if they receive details about host processes, they can easily become points of compromise for corporate networks. Network scanners. Let’s look at each type.
For example, a Japanese financial Dynatrace customer reduced troubleshooting and issue identification time by 80% by leveraging automated scans that continuously prioritized latent risks and compliance issues. Leverage tailored workflows to ensure quick resolution. Grail allows for collaboration and remediation actions across multiple teams.
A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Networking. Here are some examples. Kubernetes provides some very basic monitoring capabilities, like event logs and CPU loads for example.
Example 1: Architecture boundaries. For example, the mobile device talked to an API gateway, and that team was not responsible for all the details of the back-end systems. Example 2: Four golden signals. This represents the total number of requests across the network. This refers to the load on your network and servers.
I can reload the exact same page under the exact same network conditions over and over, and I can guarantee I will not get the exact same, say, DOMContentLoaded each time. For the sake of ease, I’m going to use Largest Contentful Paint (LCP) as the example. For example, continuing our task to reduce CSS size: performance.
As an example, if a show is shot on various camera formats all framed and recorded at different resolutions, with different lenses and different safeties on each frame. This infrastructure is available for Netflix shows and is foundational under Content Hubs Media Production Suite tooling.
As a Network Engineer, you need to ensure the operational functionality, availability, efficiency, backup/recovery, and security of your company’s network. Exceeded throughput levels can be a sign that some changes to the network configuration might be required. Synthetic network monitoring. Events and alerts.
As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Moreover, edge environments can be highly dynamic, with devices frequently joining and leaving the network.
We can see an example of this in this request waterfall visualization. Connecting to a server on the web typically takes three round trips on the network: DNS: Looking up the server IP address. Network latency depends a lot on the geographic distances between the visitors device and the server the browser is connecting to.
They can also develop proactive security measures capable of stopping threats before they breach network defenses. For example, an organization might use security analytics tools to monitor user behavior and network traffic. But, observability doesn’t stop at simply discovering data across your network.
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