Kentik

JANUARY 31, 2023

Here are some examples of network-related KPIs: Network latency Packet loss Throughput Connections per second Bandwidth utilization Note that these KPIs can be aggregated at different levels of the hierarchy—individual endpoints or instances, multi-instance services, entire data centers, across regions, and globally.

Network 105

Network Analysis Data Center Metrics 105

CIO

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Tracking the cost of instances and pods across your multiple clouds is part of this larger job.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Mobilunity

DECEMBER 26, 2024

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. Utilize replication tools for data synchronization and give priority to essential business data for prompt migration to reduce disruptions. Want to hire qualified devs?

AWS 52

AWS Cloud Weak Development Team DevOps 52

Honeycomb

OCTOBER 11, 2023

The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase. When we had a fixed amount of servers we dealt with, we’d add each of those servers as a dimension in our application metrics.

DevOps 111

DevOps Weak Development Team Engineering Metrics 111

O'Reilly Media - Ideas

JUNE 19, 2019

Voice2Face, DIY Minivac, Cloud Metrics, and Envoy for Mobile. Nines Are Not Enough: Meaningful Metrics for Clouds -- We show that this problem shares some similarities with the challenges of applying statistics to make decisions based on sampled data.

Microservices 59

Microservices Mobile Metrics Data Center 59

Exadel

MARCH 10, 2020

The server side can also consist of clusters (data centers) in order to increase a system’s fail-operational capability. Consul is quite flexible and the monitoring system has numerous metrics. We can even choose metrics for monitoring containers. . What’s a central feature of Consul? The Big Takeaway.

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Kentik

JANUARY 29, 2020

There is a lot of confusion regarding the two primary data sets in network management: SNMP and flow. SNMP is used to collect metadata and metrics about a network device. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes. What is SNMP?

Network 16

Network Data Center Construction Architecture 16

Kentik

JUNE 14, 2023

An engineer standing in front of a console today stares at the traffic moving from their on-prem data center up and out to a CASB, receiving DNS responses from a cloud-provided DNS service, and then on through an ephemeral microservices architecture in a public cloud. And this, of course, is just to reach the front end.

WAN 59

WAN Enterprise Data Center Internet 59

Kentik

JANUARY 29, 2020

There is a lot of confusion regarding the two primary data sets in network management: SNMP and flow. SNMP is used to collect metadata and metrics about a network device. As organizations adopt microservices architectures, they are most often deploying on top of orchestration platforms built on top of Kubernetes. What is SNMP?

Network 78

Network Data Center Construction Architecture 78

LaunchDarkly

JUNE 10, 2020

Test new microservices or third-party tags in production for interoperability testing. Experiments provide concrete reporting and measurements to ensure that you are launching the best version of a feature that positively impacts company metrics. Limit API requests to ensure API reliability. Learn from experimentation.

Open Source 109

Open Source Continuous Delivery Testing Engineering 109

Kentik

APRIL 3, 2023

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 data center core devices.

Programming 110

Programming Network Load Balancer Linux 110

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Application integration and microservices: Real-time integration use cases required applications to have the ability to subscribe to these streams and integrate with downstream systems in real-time.

Data 88

Data Disaster Recovery Analytics Microservices 88

RapidValue

JANUARY 31, 2021

If you’re into Microservices , then you must have heard about these two terms – API Gateway and Service Mesh, several times. East-west traffic is the indication of a traffic flow inside a data center, Kubernetes cluster, or a distributed system. Building Microservices using API Gateway.

Applications 40

Applications Microservices Authentication Architecture 40

CircleCI

SEPTEMBER 22, 2021

Microservice architecture. In microservice architecture, developers build an application as a collection of discrete services (modules) with an efficient communication protocol binding them together. In a microservice, this means breaking down your application into its constituent services. Distributed systems best practices.

Systems Review 59

Systems Review System Microservices SOA 59

Kentik

OCTOBER 12, 2021

Increased HTTPS traffic made it difficult for routers to provide insights beyond traditional NetFlow v5 metrics. Migration to the cloud has also meant that much less data is staying on-premises. This means all of their data never goes on-premises!

WAN 84

WAN Technical Review Network Internet 84

LaunchDarkly

SEPTEMBER 17, 2018

There is the Kayenta solution which is amazing and by the way, Waze is a user of the Kayenta solution and maybe I will talk about it later on but both from the upstream and the downstream everything relates to metrics, numbers and monitoring, okay? Our infrastructure is mostly based on Microservice architecture, okay?

Architecture 53

Architecture Microservices Infrastructure Course 53

Kentik

JUNE 21, 2021

data centers, offices, branches, etc.). Cloud migrations, microservices architectures, third-party services, and business growth, among other factors, are causing an increase in the number of VPCs deployed — and increasing the need for cloud network visibility.

How To 82

How To WAN Construction Network 82

taos

JUNE 1, 2017

This is common in traditional data centers as well as in private clouds. If these services are managed for you by a cloud-provider then these are not commonly monitored by the consumer; regardless of provider, the metrics that come from services is almost always very relevant and should be integrated into your monitoring solution.

Metrics 40

Metrics Hardware Architecture Systems Review 40

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. We’ll go over how to glean metrics and enable reporting and alerts, as well as what you need to look for in a monitoring tool in general. You can monitor their status and collect metrics like response time and resource consumption, just to name a few.

Metrics 52

Metrics Testing Policies Linux 52

taos

OCTOBER 15, 2019

This is common in traditional data centers as well as in private clouds. If these services are managed for you by a cloud-provider then these are not commonly monitored by the consumer; regardless of provider, the metrics that come from services is almost always very relevant and should be integrated into your monitoring solution.

Metrics 40

Metrics Architecture Hardware Systems Review 40

Honeycomb

JANUARY 23, 2023

Right now, we’re in a move between data centers and (Mesos) Marathon and Kubernetes,” Zach explained. “We’re I think the biggest thing is: Can you do that with metrics? In a highly-regulated industry and with a complex distributed environment, finding issues lurking in their system can pose quite a challenge.

Microservices 52

Microservices Course Engineering Fintech 52

Instaclustr

AUGUST 19, 2021

Next, you are going to select the data center (cloud region), cluster network, the number of nodes, and which node size you would like. Looking at Metrics. Metrics can be viewed through the Instaclustr Console and additionally via the Instaclustr API. It stores data locally and then runs over the data to set up alerts.

Metrics 46

Metrics Authentication Open Source Enterprise 46

Kentik

NOVEMBER 7, 2018

You may still use monitoring appliances in your private/on-prem data centers, but how will you see the other side of the world (your footprints in public clouds)? Dynamically orchestrated” and “microservices-oriented” are key aspects of “cloud-native” architecture that make this especially challenging.

Cloud 53

Cloud Azure AWS Google Cloud 53

LeanEssays

JULY 14, 2019

Customer-focused metrics were used to guide a team’s performance, and teams were expected to work both autonomously and asynchronously to improve customer outcomes. They combine this feedback with data-driven approaches to adapt their offerings. Small, independent teams own a small service – called a microservice these days.

Software Review 91

Software Review Software Engineering Weak Development Team Continuous Delivery 91

RapidValue

FEBRUARY 8, 2021

Introduced during Andy Jassy’s keynote address, Amazon ECS and EKS Anywhere enable users to run ECS and EKS in their own data centers. The service currently available in preview scales automatically while handling millions of unique time-series metrics from large container deployments. Amazon ECS and EKS Anywhere.

AWS 52

AWS Serverless Open Source Artificial Inteligence 52

Enlume

NOVEMBER 13, 2018

The security concerns run across the different architectural components of a microservices based cloud systems, such as containerization, heterogeneity, elasticity, multi-tenancy, connected resources sharing and mobility. The efficiency is derived based on two key metrics, Mean Time to Detect (MTTD) and Mean time to Respond (MTTR).

Security 40

Security Cloud How To Technical Review 40

Daniel Bryant

DECEMBER 3, 2019

link]  —  @brianguy_cloud Although the cloud vendors were largely talking about extending the private data center into the cloud (and vice versa) via the compute abstraction?—?e.g. The key concept is that as a microservice-based system grows, it does so primarily by the addition of more services.

Technical Review 10

Technical Review Microservices Software Review Cloud 10

Altexsoft

JULY 4, 2022

An infrastructure engineer is a person who designs, builds, coordinates, and maintains the IT environment companies need to run internal operations, collect data, develop and launch digital products, support their online stores, and achieve other business objectives. Key components of IT infrastructure. other members of the IT team.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Instaclustr

OCTOBER 14, 2019

Instagram is a big user of Cassandra, with 1000s of nodes, 10s of millions of queries per second, 100s of production use cases, and Petabytes of data over 5 data centers. The solution is the Akkio data locality layer, and “ sharding the shards ”! Cassandra Prometheus Exporter, exporter for Cassandra metrics, fast (134ms!),

Technical Review 36

Technical Review Technology Report Open Source 36

Daniel Bryant

NOVEMBER 25, 2019

For example, Tinder had implemented their own service mesh using Envoy proxy, Walmart created their own fleet management control plane, and several organisations had created their own continuous delivery pipelines and logging and metrics capture platforms. Welcome back to Twitter.

Cloud 10

Cloud IoT Conference Network 10

O'Reilly Media - Ideas

JANUARY 14, 2025

The data in each graph is based on OReillys units viewed metric, which measures the actual use of each item on the platform. In each graph, the data is scaled so that the item with the greatest units viewed is 1. Microservices declined 24%, though content use is still substantial. Whats happening?

Trends 131

Trends Technology Security Artificial Inteligence 131

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Is the relatively low growth of microservices a sign of change? Have microservices reached a peak?

Trends 144

Trends Technical Review Technology Software Review 144

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait Customer demand for solutions built on lean, loosely coupled BPM microservices will skyrocket. wait did I just do that. First movers will be profoundly disruptive.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

AUGUST 20, 2024

We’ve seen that happen to too many useful concepts: Edge computing meant everything from caches at a cloud provider’s data center to cell phones to unattended data collection nodes on remote islands. But that argument isn’t really convincing without metrics. DevOps meant, well, whatever anyone wanted. Job title?

Engineering 140

Engineering Software Review Weak Development Team Software Development 140

LogicMonitor

NOVEMBER 16, 2018

Nowadays a user’s experience is likely to be dependent on a variety of microservices and applications, distributed among public cloud and private data center environments. About 90% of cloud apps share data with on-premises applications.) and define SLAs, scheduled downtime, etc. on that service as a whole.

Metrics 40

Metrics Systems Review Storage Data Center 40

O'Reilly Media - Ideas

JANUARY 25, 2021

We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Cloud computing has replaced data centers, colocation facilities, and in-house machine rooms. We can’t just get faster processors. Serverless (a.k.a. Security and Privacy.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145