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Traditional enterprise wide area networks, or WANs were designed primarily to connect remote branch offices directly to the datacenter. They rely on centralized security performed by backhauling traffic through the corporate datacenter, which impairs application performance and makes them expensive and inefficient.
SD-WAN, one of the most disruptive network technologies of the past few years, has a fast rate of adoption. Enterprises adopting SD-WAN are driven by key factors such as WAN cost savings, application performance improvement, management and operation simplification, and more. SD-WAN Visibility from Kentik.
We see these DevOps teams unifying logs, metrics, and traces into systems that can answer critical questions to support great operations and improved revenue flow. Datacenter : Leaf and spine switches, top of rack, modular, fixed and stackable. API gateways for digital services. Wireless access points and controller.
Enterprise WAN in 2023 Enterprise networking in 2023 is very much the same. I recently had the privilege of attending the WAN and AWS Summits in London. Not many years ago, all my WAN projects were IPsec tunnels to a headend, dual hub DMVPN designs, coordinating MPLS handoffs from last mile providers, etc. User to the cloud.
Kentik customers move workloads to (and from) multiple clouds, integrate existing hybrid applications with new cloud services, migrate to Virtual WAN to secure private network traffic, and make on-premises data and applications redundant to multiple clouds – or cloud data and applications redundant to the datacenter.
What’s almost as important as the data is the ability to query that data very quickly according to your specific role or needs. You can get back the results based on any metric or combination that matters to you, and if you know networking, you also know that it can get pretty complex.
There are a number of definitions, but observability in the DevOps world has been about using diverse telemetry to know the internal states of systems over time (generally focused around metrics, logs, and traces), and providing answers to the unbounded questions needed to run modern applications.
Consider SD-WAN as another example of DoH causing problems. The SD-WAN controller grants permission to connections based on the top-level domain (e.g., If Google has their druthers, a lot of SD-WAN vendors are going to be in a tough spot and will have to figure out another way to enforce policy. facebook.com) being visited.
KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. And that leads us to metrics. Health checks and series metrics. 4-amd64 x86_64 [go version go1.5
Synthetic testing is done by sending synthesized tests that are not from real users to check availability and performance metrics, such as latency, jitter and packet loss. internet, cloud, WAN, datacenters, etc.) Site-to-site performance across traditional WAN and SD-WANs. What is synthetic testing?
Ping and traceroute tests performed continuously with public and/or private agents generate key metrics (latency, jitter, and loss) that are evaluated for network health and performance. The Network Explorer combines flow, routing, performance, and device metrics to build the map and let you easily navigate.
We believe a data-driven approach to network operations is the key to maintaining the mechanism that delivers applications from datacenters, public clouds, and containerized architectures to actual human beings. Ultimately, we’re solving a network operations problem using a data-driven approach. More data!
When evaluating solutions, whether to internal problems or those of our customers, I like to keep the core metrics fairly simple: will this reduce costs, increase performance, or improve the network’s reliability? It’s often taken for granted by network specialists that there is a trade-off among these three facets.
This could mean the users are saturating the internet connectivity or that they’ve saturated the LAN (or maybe WAN). We also collect interface details and metrics using SNMP. This data is useful for Kentik’s automated capacity planning workflows and building topological maps (layer 2 and layer 3 connectivity).
tasks required to operate today’s complex networks, which span datacenter, WAN, LAN, hybrid and multi-cloud infrastructures. The four modules work across every type of network from the LAN, WAN, and traditional datacenter to public cloud and cloud-native environments that produce VPC flow log information.
From a high-level perspective, network operators engage in network capacity planning to understand some key network metrics: Types of network traffic. Measure and analyze traffic metrics to establish performance and capacity baselines for future bandwidth consumption. Key metrics for planning network capacity.
For AWS cloud networks, the Transit Gateway provides a way to route traffic to and from VPCs, regions, VPNs, Direct Connect, SD-WANs, etc. datacenters, offices, branches, etc.). Entry point for on-premises SD-WAN connections. VPC and Workload Interconnectivity Requires Planning. Centralized inter-VPC networking.
Using a synthetic test, we can capture the metrics for each component of that interaction from layer 3 to the application layer itself. This isn’t necessarily a bad thing, but it isn’t the same as collecting metrics on the application’s activity itself. This is common in service provider networks and for datacenter core devices.
SD-WAN and More. The award is based on six criteria: reduction of cyber risk, key performance metrics, viability, efficiency, flexibility and differentiation. And the Survey Says… Upcoming Trends That Will Transform the DataCenter. Cybersecurity Innovations. New Innovations in PAN-OS 9.1:
This series of guest posts has concentrated on the numerous challenges facing enterprise IT managers as businesses embrace digital transformation and migrate IT applications from private datacenters into the cloud. In this post, I would like to finally expand on this theme.
To quote: “Today’s typical NPMD vendors have their solutions geared toward traditional datacenter and branch office architecture, with the centralized hosting of applications.”. It’s now possible to get rich performance metrics from your key application and infrastructure servers, even components like HAProxy and NGINX load balancers.
From a high-level perspective, network operators engage in network capacity planning to understand some key network metrics: Types of network traffic. Measure and analyze traffic metrics to establish performance and capacity baselines. Key Metrics. Capacity of current network infrastructure.
One of the more obvious, yet powerful uses for Kentik Detect is a dashboard that provides a comprehensive overview of network traffic across the entire infrastructure: LAN / WAN, internal datacenters and public cloud. Kentik makes extensive use of the Sankey visualization type to illustrate relationships within network data.
measuring metrics associated with that “test” and then building KPIs using those metrics. Another use case for baselining performance could be for comparing network performance in evaluating different SD-WAN solutions. Synthetic monitoring achieves this by generating different types of traffic (e.g.,
One trend we noticed is that every vendor out there claims that their product utilizes networking data, and that data-driven approaches are employed across the board. Supported data sources, therefore, are key to understanding each vendor’s focus and capabilities.
Those can be helpful in understanding network activity, and some forms of that data are relevant in simple ways to network performance, but really just on the side of utilization. So NPM is about another set of metrics. Then there’s data generated via passive observation of real, actual traffic. NPM Architectures.
Addressing the visibility gaps left by legacy appliances in centralized datacenters, Kentik NPM uses lightweight software agents to gather performance metrics from real traffic wherever application servers are distributed across the Internet. Is it the WAN? Is it the datacenter? Is it the network?
The SD-WAN systems, the DDoS scrubbers, and the intrusion detection appliances. Built primarily as simple metrics warehouses, most “legacy” network monitoring vendors modified their platforms to support the cloud by simply ingesting a few cloud metrics from services like AWS CloudWatch or adding support for simple, unenriched VPC flow logs.
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