Mobilunity

FEBRUARY 12, 2025

Power Your Projects with Python Professionals HIRE PYTHON DEVELOPERS The World of Python: Key Stats and Observations Python confidently leads the ranking of the most popular programming languages , outperforming its closest competitors, C++ by 53.44% and Java by 58%, based on popularity metrics. of respondents reporting they love it.

Programming 40

Programming Applications Software Review Systems Review 40

Kentik

SEPTEMBER 26, 2016

It’s now possible to get rich performance metrics from your key application and infrastructure servers, even components like HAProxy and NGINX load balancers. But you can’t do any of it without the instrumentation of cloud-friendly monitoring and the scalability of big data. routers and switches).

Network 40

Network Performance Data Center WAN 40

OpenCredo

SEPTEMBER 22, 2020

CloudWatch provides relevant metrics , far fewer than open source Cassandra – but this reflects the serverless nature of the service where we don’t need to wrestle with the complex multivariate health indicators provided natively. Keyspaces provides Point-in-time Backup and Recovery to the nearest second for up to 35 days.

AWS 52

AWS Serverless Open Source Backup 52

Kentik

JANUARY 17, 2017

Drawing on our big data scale and our learning algorithms for baselining, we’ve now proven in the field that we can catch significantly more attacks than traditional approaches. As an industry we experienced unprecedented DDoS attacks on OVH, Krebs, and Dyn that were driven by IoT botnets.

Network 40

Network IoT Load Balancer Internet 40

Honeycomb

MAY 23, 2022

If we’ve learned one thing from our migration to Graviton2, it’s that improving the performance of big-data, high-performance computing only gives our customers more speed and options for analyzing data at scale. As with any big migration, there comes a time to tie it all up in a bow and say “woohoo, we’re done now!”.

AWS 88

AWS Lambda Architecture Testing 88

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. with BGP, GeoIP, SNMP, and performance metrics from packet capture.

Enterprise 40

Enterprise Policies Analytics Architecture 40

Kentik

AUGUST 15, 2016

Generally, the goal of multi-homing is to use both upstream provider connections in a sane manner and “load-balance” them. You don’t need BGP to load-balance; you can do that almost as well with a “round-robin” or “route-caching.” We’ll be talking more about metrics in the future.

Advertising 40

Advertising Load Balancer Internet .Net 40

Netflix Tech

DECEMBER 14, 2018

Different metrics can be used to configure a continuous deployment platform, such as Spinnaker for load balancing and auto-scaling for NMDB. This along with the high storage costs associated with ES is motivating us to look for other “big-data” storage solutions.

Media 97

Media Systems Review Storage Performance 97

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. So in order to really have a network time machine, you need to be able to keep all that data.

Big Data 40

Big Data Internet Network Performance 40

Kentik

DECEMBER 19, 2016

You’ve got APM, and metrics, and Net NPM, and DDoS protection, and it all needs to work, and it all needs to be related. Our new host agent gives you metrics like retransmits, out-of-order, and latency. But if we have the augmented data, it opens up a whole number of new metrics for Kentik Detect. Absolutely, it is.

Technical Review 40

Technical Review Network Metrics Load Balancer 40

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

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. The expert also documents problems and how they were addressed and creates metrics reports.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Openxcell

JANUARY 28, 2025

Technology is progressing at an unbelievable rate with the convergence of artificial intelligence, big data, and machine learning. They should consider predictive analysis, dynamic load balancing, and IoT device integration to predict energy demands and optimize energy consumption.

Innovation 45

Innovation Artificial Inteligence Machine Learning Energy 45

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 28

Technical Review Technology Report Open Source 28

Confluent

FEBRUARY 13, 2019

I’m limited to space so will briefly mention Confluent Schema Registry , data evolution (schema evolution), change data capture (data virtualization), event collaboration and coordination primitives , streaming patterns, evolutionary architectures, disposable architectures and event tracing (correlation IDs).

Architecture 92

Architecture Programming Microservices Serverless 92

LeanEssays

JANUARY 21, 2016

Big Data 3. Big Data In 2001 Doug Cutting released Lucene, a text indexing and search program, under the Apache software license. Cutting and Mike Cafarella then wrote a web crawler called Nutch to collect interesting data for Lucerne to index. The potential of Big Data is just beginning to be tapped.

Software Review 55

Software Review Innovation Software Technical Advisors 55

LogicMonitor

NOVEMBER 16, 2018

Service Definition and Monitoring Administrators will be able to define a service or application as a collection of components (containers, virtual machines, databases, storage arrays, load balancers, etc.) The combinatorial set is too large to process in anything close to real time, even for Big Data technologies.

Metrics 40

Metrics Systems Review Storage Data Center 40