Kentik

JANUARY 6, 2021

Networkers running enterprise and critical service provider infrastructure need infrastructure-savvy analogs of the same observability principles and practices being deployed by DevOps groups. Application layer : ADCs, load balancers and service meshes.

Network 128

Network WAN Wireless Load Balancer 128

AWS Machine Learning - AI

MAY 30, 2024

Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. Additionally, Vitech uses Amazon Bedrock runtime metrics to measure latency, performance, and number of tokens. “We

Artificial Inteligence 95

Artificial Inteligence Technical Review Development Team Review Software Review 95

CircleCI

DECEMBER 3, 2021

Siloed groups, a lack of security, or insufficient testing breaks development continuity and makes deployment difficult. Automated testing tools should already be a part of your continuous integration and continuous delivery (CI/CD) pipeline to ensure the software you deliver meets quality metrics. Automated testing.

Software Review 52

Software Review Continuous Delivery Load Balancer Technical Review 52

LaunchDarkly

SEPTEMBER 13, 2018

And it supports like an extensible set of metric services and judges and cloud platforms and everything else. And then hopefully all of those things are publishing metrics somewhere. Hopefully you’re publishing metrics. Those metrics have to be tagged in some way that you can tease them apart later.

Analysis 58

Analysis Metrics Performance Microservices 58

Linux Academy

MAY 15, 2019

Implementing an Auto Scaling Group and Application Load Balancer in AWS. Start by building a foundation of some general monitoring concepts, then get hands-on by working with common metrics across all levels of our platform. Creating Confined Users in SELinux. Working with Dates and Times in MySQL.

Linux 60

Linux Load Balancer Database Administration Course 60

Kentik

OCTOBER 11, 2016

NANOG (North American Network Operators Group) time has arrived again. It now ingests performance metrics like TCP retransmits and latency. NANOG 68 is next week and we’d love to meet you! NANOG 68 will be held October 17-19 at the Fairmont in Dallas, TX and a lot of Kentikians will be there. What’s Kentik up to at NANOG 68?

Load Balancer 40

Load Balancer Big Data Analytics Network 40

Cloudera

MAY 22, 2018

track model metrics, performance, and any model artifacts the user specifies. deploy and start a specified number of model API replicas, automatically load balanced. you can now designate the LDAP and SAML groups for both users and administrators. build and execute the training run in an isolated container. or higher 5.x

Data 42

Data Load Balancer Artificial Inteligence Machine Learning 42

Xebia

APRIL 18, 2023

This setup will adopt the usage of cloud load balancing, auto scaling and managed SSL certificates. Number 2: Simple setup with load balancing For the next topology we will be looking at an extension of the previous simple set up, configuring a load balancer backed by a Managed Instance Group (MIG).

Load Balancer 130

Load Balancer Network Firewall Google Cloud 130

Honeycomb

SEPTEMBER 20, 2018

To do that, you’ll have to load balance Logstash, deploy multiple parallel data nodes in Elastic, install and run something like Apache Kafka to avoid data loss if your traffic is bursty…and this will all be your responsiblity. Calculate: collect specific statistics across a set of events.

Software Review 63

Software Review Load Balancer Systems Review Internet 63

Netflix Tech

AUGUST 16, 2023

It seems like a minor change, but it had to be seamlessly integrated into our existing metrics and connection bookkeeping. We had discussed subsetting many times over the years, but there was concern about disrupting load balancing with the algorithms available. Subsetting Success The results were outstanding.

Load Balancer 68

Load Balancer Metrics Examples AWS 68

AWS Machine Learning - AI

APRIL 24, 2024

Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". It uses the provided conversation history, action groups, and knowledge bases to understand the context and determine the necessary tasks.

Artificial Inteligence 100

Artificial Inteligence Lambda Generative AI Knowledge Base 100

The Crazy Programmer

JULY 25, 2020

Resource group – Here you have to choose a resource group where you want to store the resources related to your virtual machine. Basically resource groups are used to group the resources related to a project. NIC network security group – It consists of the security rules that we want to apply on our network.

Azure 249

Azure Virtualization Windows Data Center 249

Kentik

MARCH 27, 2017

Another wrinkle for complex enterprises is that over time they’ve often acquired a variety of Internet-edge facing devices, including edge routers, switches, and load balancers. Configure multi-dimensional alerting policy criteria by grouping BGP, IP, GeoIP, and other fields.

Enterprise 40

Enterprise Policies Analytics Architecture 40

Modus Create

JANUARY 28, 2022

As your traffic rises and falls, you can set up auto-scaling on a specific metric (e.g., Therefore, you can bring the number of containers up or down in response to fluctuations in the selected metric. Load balancer (EC2 feature) . We can configure the load balancer and its target groups in EC2 load balancing options.

Load Balancer 59

Load Balancer Applications AWS Software Review 59

Honeycomb

FEBRUARY 1, 2024

And you find the balance of how much telemetry to sample, retaining the shape of important metrics and traces of all the errors, while dropping the rest to minimize costs. This does happen when load balancer configuration changes or services start using more HTTP codes. You build up alerts based on those errors.

Load Balancer 117

Load Balancer Metrics Data Groups 117

Netflix Tech

NOVEMBER 23, 2020

In order to design, operate, and measure these networks, we must collect metrics and state data from the thousands of devices that compose them. OpenConfig A few years ago, an operator-driven working group, OpenConfig , was formed with the goal of solving all these problems. The Gateway To fill these gaps?—?under

Load Balancer 74

Load Balancer Open Source Network Transportation 74

OpenCredo

FEBRUARY 5, 2019

An important part of ensuring a system is continuing to run properly is around gathering relevant metrics about the system so that they can either have alerts triggered on them, or graphed to aid diagnosing problems. The metrics are stored in blocks encompassing a configured period of time (by default 2 hours). Introduction.

Load Balancer 74

Load Balancer Metrics Open Source AWS 74

Honeycomb

JUNE 1, 2023

In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io This also adds the blue lines, which denote metrics data. The metrics are periodically emitted from applications that don’t contribute to traces, such as a database. and show up in charts.

Load Balancer 109

Load Balancer Metrics Network Cloud 109

Kentik

OCTOBER 3, 2016

Addressing the visibility gaps left by legacy appliances in centralized data centers, Kentik NPM uses lightweight software agents to gather performance metrics from real traffic wherever application servers are distributed across the Internet. And they all, as a group, have latency SLAs in the tens of milliseconds.

Big Data 40

Big Data Internet Network Performance 40

LaunchDarkly

MAY 15, 2020

So the idea of this group testing and production, there’s a whole lot of things that go into testing and production. But for your database or for your load balancers or other parts of your system. The firewalls you rely on, the load balancers and things like that. As Yoz was saying Zach Henderson here.

Weak Development Team 52

Weak Development Team Internet Network Performance 52

Kentik

MARCH 6, 2019

Sometimes, 1 & 2 are grouped as “pod networking” and 3 & 4 as “service networking.”. They want to handle service communication in Layers 4 through 7 where they often implement functions like load-balancing, service discovery, encryption, metrics, application-level security and more. Pod-to-pod. Pod-to-service.

Network 63

Network Microservices .Net Load Balancer 63

Netflix Tech

NOVEMBER 9, 2022

As GS2 relies on AWS EC2 Auto Scaling to target-track CPU utilization, we thought we just had to redeploy the service on the larger instance type and wait for the ASG (Auto Scaling Group) to settle on the CPU target. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 145

Hardware Performance Software Review Microservices 145

Altexsoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Having replica shards ensures your data is not lost if a node fails.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Honeycomb

SEPTEMBER 29, 2020

The primary hosting pattern to migrate was a.NET application running on a Windows instance behind a load balancer. Our production applications have predictable load distribution during core business hours. One of our key performance metrics is time from instance launch until application code begins installation.

AWS 52

AWS Software Review CTO Coach Fractional CTO 52

Honeycomb

MAY 23, 2022

We squished selected AWS Auto-Scaling Groups (ASGs) down to the minimum possible size for each of C6g and C7g processors while maintaining similar latency and throughput targets. As with any big migration, there comes a time to tie it all up in a bow and say “woohoo, we’re done now!”. Finishing the migration.

AWS 88

AWS Lambda Architecture Testing 88

Confluent

FEBRUARY 13, 2019

With the event-driven streaming architecture, the central concept is the event stream, where a key is used to create a logical grouping of events as a stream. Classic microservice concerns such as service discovery, load balancing, online-offline or anything else are solved natively by event streaming platform protocol.

Architecture 88

Architecture Programming Microservices Serverless 88

taos

OCTOBER 10, 2019

Load balancers can seamlessly move traffic away from offline web and app servers; databases can fail-over to a secondary node, etc. Network reconfiguration may take place to assign an IP address and security group to the virtual machine. Automate Recovery Recovery time is a key metric for your architecture.

Cloud 40

Cloud Infrastructure Load Balancer Storage 40

Instaclustr

SEPTEMBER 9, 2021

Client nodes act as a gateway to the cluster and help load balance the incoming ingest and search requests. Documents in an index can be anything, like a paragraph from a book, a logline, a tweet, or weather data for a city, but typically similar documents are grouped into the same index. Metrics Aggregations.

Architecture 55

Architecture Metrics Scalability Analytics 55

Honeycomb

NOVEMBER 18, 2021

Even analyzing flat HTTP request logs from your cloud provider’s load balancer can give you insight into what requests are slow and exactly how slow they are. While I’m a proponent of rich, wide events with many attributes, it’s not a requirement to have fully enriched events to get started. That’s okay!

Microservices 52

Microservices Load Balancer Data Enterprise 52

ParkMyCloud

DECEMBER 13, 2019

It offers rightsizing for the M, C, R, T, and X instance families and Auto Scaling groups of a fixed size (with the same values for desired/min/max capacity). That said, the only way to get that 50% cost reduction is to install the AWS CloudWatch Agent on your instances and configure it to send memory metrics to CloudWatch.

AWS 11

AWS Artificial Inteligence Machine Learning Load Balancer 11

Netflix Tech

DECEMBER 14, 2018

Figure 1: NMDB DataStore semantics We have chosen the namespace portion of a DS definition to correspond to an LDAP group name. Different metrics can be used to configure a continuous deployment platform, such as Spinnaker for load balancing and auto-scaling for NMDB. This is depicted in Figure 1.

Media 94

Media Systems Review Storage Performance 94

Confluent

SEPTEMBER 20, 2019

Partially managed services can be easily spotted by the fact that they lack a good story about users, groups, and permissions. For some, this might seem like a good thing, but in reality it increases co-responsibility. Network: though you usually don’t pay for VPCs, there are bandwidth costs.

Software Review 21

Software Review Technical Review Storage Cloud 21

Honeycomb

NOVEMBER 17, 2023

Observability starts by collecting system telemetry data, such as logs, metrics, and traces. To gain a more complete picture, observability tools collect data from various components of the software system: logs, metrics, and traces (typically considered the “three pillars of observability” but don’t get us started on that rant ).

Metrics 125

Metrics Software Review Analysis Technical Review 125

The Citus Data

DECEMBER 11, 2021

From the beginning of the COVID-19 pandemic, the United Kingdom (UK) government has made it a top priority to track key health metrics and to share those metrics with the public. Over the next year, Pouria’s team expanded the analytics dashboard, adding in more metrics and more interactive features. daily average users.

Azure 88

Azure Open Source Software Review Analytics 88

Kentik

MAY 17, 2021

Most organizations don’t have policies in place that prevent accounts from setting up new internet gateways, configuring new security groups, or routing policies. The metrics collected help paint a vague picture of the cloud but don’t address any of the larger problems at play. Network Teams Are Called in Too Late.

Network 52

Network Cloud AWS Architecture 52

High Scalability

NOVEMBER 25, 2019

Load Balancers / Reverse Proxy. Each incoming request on the core service node is tagged and classified into various groups. How do you handle load balancing? We also generate quite a bit of internal application metrics using a home grown framework. Egnyte Object Store. Application Servers. Elasticsearch.

Architecture 21

Architecture Data Center Software Review Storage 21