Tenable

NOVEMBER 25, 2022

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52

Metrics Cloud Backup Software Review 52

DevOps.com

OCTOBER 18, 2022

The report also identified logs generated by NGINX proxy software (38%) as being the most common type of log, followed by Syslog (25%) and Amazon Load Balancer […]. New Relic today shared a report based on anonymized data it collects that showed a 35% increase in the volume of logging data collected by its observability platform.

Report 110

Report Load Balancer Data Software 110

Kentik

APRIL 16, 2023

CTOs and other umbrella decision-makers recognize that software and network engineers must work together to deliver secure and performant applications. Having an expert perspective on network protocols helps ensure data will be moved securely and with network performance in mind.

Network 64

Network Applications Development Load Balancer 64

Perficient

DECEMBER 13, 2023

Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. PySpark helps in performing fast distributed transformations on large data sets. Data Analytics Amazon Redshift stores the enriched data, which facilitates high-performance analytics and querying.

Healthcare 52

Healthcare AWS Lambda Data 52

Datavail

DECEMBER 26, 2023

Once the decommissioning process is finished, stop the Cassandra service on the node: Restart the Cassandra service on the remaining nodes in the cluster to ensure data redistribution and replication: Load Balancing Cassandra employs a token-based partitioning strategy, where data is distributed across nodes based on a token value.

Scalability 57

Scalability Disaster Recovery Backup Load Balancer 57

Kentik

APRIL 24, 2023

They want a rock-solid, reliable, stable network that doesn’t keep them awake at night and ensures great application performance. These are all examples of instability with our network and its adverse effects on application performance. The answer is simple. So how do we get there? But notice all of these examples start with “why.”

Network 52

Network Data Load Balancer Strategy 52

Honeycomb

FEBRUARY 8, 2023

A part of the “service level” family , an SLO is a reliability target (for example, “99%”) driven by an SLI (which is a metric like “requests completed without error”) that organizations use to ensure user experiences are smooth and customer contracts are being met. Can we express this in clear language with common-sense metrics?

Weak Development Team 57

Weak Development Team Load Balancer Metrics Engineering 57

Honeycomb

JUNE 22, 2022

Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). This is supplemental to the awesome post by Brian Langbecker on using Honeycomb to investigate the Application Load Balancers (ALB) Status Codes in AWS. AppService logging.

Azure 62

Azure Load Balancer Linux Software Review 62

CircleCI

JANUARY 24, 2022

It is a system and process that helps build confidence in cloud-native applications by providing visibility into how they perform in all components, not just one or two. For example, developers can use observability to determine when an application performance issue occurs and pinpoint specific areas of code or instances where it happens.

Software Development 52

Software Development Software Development Metrics 52

Cloudera

JANUARY 31, 2024

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. SRM replicates data at high performance and keeps topic properties in sync across clusters.

Policies 69

Policies Metrics Load Balancer Software Review 69

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

Progress

JANUARY 2, 2020

All the tools are there too to sustain and consistently improve performance because, hey, we’re all in it for the long run. Identify performance bottlenecks? Address and resolve issues and optimize your project for stellar performance? Last time around, we looked at the infrastructure and systems behind Sitefinity Cloud.

Cloud 52

Cloud Azure Metrics Backup 52

Progress

JANUARY 2, 2020

All the tools are there too to sustain and consistently improve performance because, hey, we’re all in it for the long run. Identify performance bottlenecks? Address and resolve issues and optimize your project for stellar performance? Last time around, we looked at the infrastructure and systems behind Sitefinity Cloud.

Cloud 52

Cloud Azure Metrics Backup 52

Kentik

MAY 29, 2018

From a high-level perspective, network operators engage in network capacity planning to understand some key network metrics: Types of network traffic. How capacity planning benefits your network performance. Measure and analyze traffic metrics to establish performance and capacity baselines for future bandwidth consumption.

Network 52

Network Metrics Load Balancer WAN 52

Kentik

SEPTEMBER 26, 2016

On May 27 of this year, Gartner Research Director Sanjit Ganguli released a research note titled “Network Performance Monitoring Tools Leave Gaps in Cloud Monitoring.” In the new cloud reality, when you have an application performance problem that is impacting user experience you can’t easily tell if it’s the network or not.

Network 40

Network Performance Data Center WAN 40

Trigent

MARCH 8, 2021

Metrics like velocity, reliability, reduced application release cycles and ability to ramp up/ramp down are commonly used. Further, there are also a set of metrics aimed at the efficiency of the CI/CD pipeline, like environment provisioning time, features deployment rate, and a series of build, integration, and deployment metrics.

Testing 98

Testing Software Review DevOps Technical Review 98

High Scalability

JUNE 4, 2019

PerfOps is a data platform that digests real-time performance data for CDN and DNS providers as measured by real users worldwide. Leverage this data across your monitoring efforts and integrate with PerfOps’ other tools such as Alerts, Health Monitors and FlexBalancer – a smart approach to load balancing.

Load Balancer 46

Load Balancer Advertising Metrics PHP 46

Linux Academy

MARCH 28, 2019

N-Tier architectures and micro-services applications must be tuned for performance. This bursting is intentional and guided by state-of-the-art monitoring and metrics to know exactly which tiers of the application need to be scaled to maintain SLA’s (Service Level Agreements). Federating Metrics. Machine Learning.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

DataRobot

MARCH 31, 2022

Similarly, load balancing systems used by telecommunications companies to route data through their networks didn’t foresee changes in data usage triggered by work-from-home and videoconferencing trends. Service Health tracks metrics about a deployment’s ability to respond to prediction requests quickly and reliably.

Load Balancer 52

Load Balancer Metrics Government Telecommunications 52

CircleCI

DECEMBER 3, 2021

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. Without a comprehensive suite of tests to validate all your application’s existing and new components, your team cannot rely on that software to perform.

Software Review 52

Software Review Continuous Delivery Load Balancer Technical Review 52

CircleCI

JANUARY 21, 2021

Through our analysis, we found these top-performing teams all tracked higher on 4 key benchmarks. Now that you know how to optimize your pipelines via metric benchmarks, your 2nd resolution for 2021 should be to best use precious developer time. Record results on the Cypress Dashboard and load balance tests in parallel mode.

Load Balancer 104

Load Balancer Testing AWS Analysis 104

Daniel Bryant

JUNE 28, 2018

Envoy also supports service discovery and active/passive health checking, as well as advanced load balancing features like timeouts, circuit breaking, rate limiting and shadowing etc. A PHP monolith stored data in a MongoDB database, and end-user requests were served via an AWS elastic load balancer (ELB).

Load Balancer 40

Load Balancer PHP Open Source Architecture 40

Netlify

FEBRUARY 17, 2020

He also needed a seamless way to manage a network of applications, ensuring the real-time visualizations of user-submitted content performed reliably. Performance – The effortlessly supported 200,000 daily visitors without developers needing to spin up additional servers. Marc thought of using AWS, Kubernetes, AEM, or Fastly.

Load Balancer 52

Load Balancer Media Social AWS 52

Cloudera

MARCH 14, 2023

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. Test Sessions provide this functionality by provisioning compute resources on the fly within minutes.

Agile 82

Agile Development Data Serverless 82

Kentik

OCTOBER 11, 2016

Network Performance Monitoring solution. A few weeks ago, Kentik announced the first network performance monitoring solution that is built for cloud and digital operations. It now ingests performance metrics like TCP retransmits and latency. What’s Kentik up to at NANOG 68? Preview of new anomaly and DDoS detection.

Load Balancer 40

Load Balancer Big Data Analytics Network 40

Daniel Bryant

SEPTEMBER 20, 2018

Unlike the poor canaries of the past, obviously no users are physically hurt during a software release, but negative results from a canary release can be inferred from telemetry and metrics in relation to key performance indicators (KPIs). This includes the ability to observe and comprehend both technical metrics (e.g.

Cloud 40

Cloud Load Balancer Disaster Recovery Weak Development Team 40

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

Cloudera

JUNE 28, 2022

In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection. With more than 300 processors available out of the box, it can be used to perform universal data distribution , acquiring and processing any type of data, from and to virtually any type of source or sink.

Analytics 82

Analytics Machine Learning Artificial Inteligence Cloud 82

Kentik

NOVEMBER 18, 2016

The opener of the article is: “The writing’s on the wall – it’s time for appliance-based network performance solutions to go bye-bye. Kentik offers a cloud-friendly NPM solution that includes the mature and proven nProbe NPM agent from ntop that can be installed on application and load balancing servers.

Load Balancer 40

Load Balancer Big Data Cloud Network 40

Kaseya

JANUARY 23, 2023

For example, it may use network management software to monitor traffic levels and identify potential problems, system monitoring tools to monitor endpoint and server performance and resource utilization, and application monitoring tools to track response times and identify errors. What is meant by network operations?

Network 52

Network Disaster Recovery Security Software Review 52

Honeycomb

JULY 12, 2023

We share a lot of experience with metrics and monitoring technologies, although she kind of despises them and I feel a profound affection for them. I wish I could call out specific milestones on the path, but the truth is it was done in a thousand small steps.

Part-Time VPE 98

Part-Time VPE Engineering B2C Technical Review 98

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. build and execute the training run in an isolated container. build an immutable executable container with the trained model and serving code.

Data 41

Data Load Balancer Machine Learning Artificial Inteligence 41

Perficient

FEBRUARY 25, 2023

Quite often, while building the Data Integration Pipeline, Performance is a critical factor. Pre-Requisite Checks/Analysis Basic Tuning Guidelines Additional Tuning Practices Tuning Approach Pre-Requisite Checks/Analysis : Before we get into subjecting an ETL Mapping against Performance Improvements, below steps to be adopted.,

Guidelines 64

Guidelines Performance Load Balancer Storage 64

Confluent

MAY 13, 2019

We also had to work around various limits on cloud infrastructure, like limits on the number of VPCs and elastic load balancers per account. Elasticity also meant that we needed to do continuous, intelligent data balancing across the various nodes of a Kafka cluster. And Kafka was not the only thing we had to scale!

Cloud 100

Cloud Load Balancer Infrastructure Scalability 100

Netflix Tech

NOVEMBER 9, 2022

GS2 is a stateless service that receives traffic through a flavor of round-robin load balancer, so all nodes should receive nearly equal amounts of traffic. In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands.

Hardware 145

Hardware Performance Software Review Microservices 145

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. ” – Michael Garski, Director of Software Engineering at Fender.

Software Review 63

Software Review Load Balancer Systems Review Internet 63

AWS Machine Learning - AI

APRIL 24, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Artificial Inteligence 101

Artificial Inteligence Lambda Generative AI Knowledge Base 101