AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The platform has delivered strong results across several key metrics.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

OverOps

JUNE 21, 2018

To ensure that this data isn’t lost and can be used effectively, they should be consolidated and centralized to a single storage location. Open source. Elastic (formerly ELK – ElasticSearch, Logstash, Kibana) is an open source project made up of many different tools for application data analysis and visualization.

Tools 221

Tools Open Source Weak Development Team How To 221

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. “Sitting at the intersection of the major trends transforming infrastructure software – the rise of open-source and the shift to containers – Chronosphere has quickly become a transformative player in observability.

Cloud 209

Cloud Sport Open Source Machine Learning 209

TechCrunch

MAY 17, 2022

The first wave in the 2000s was trying to solve the large-scale data processing and storage challenges, which [tools like] HDFS, MapReduce, and Spark addressed,” Yang told TechCrunch in an email interview. Snowflake, Redshift, and BigQuery) and distributed SQL engines (e.g., Impala, Presto, Athena).

Technical Review 249

Technical Review Analytics Cloud Enterprise 249

AWS Machine Learning - AI

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

AWS Machine Learning - AI

MARCH 20, 2025

Using Amazon Bedrock allows for iteration of the solution using knowledge bases for simple storage and access of call transcripts as well as guardrails for building responsible AI applications. This step is shown by business analysts interacting with QuickSight in the storage and visualization step through natural language.

Generative AI 69

Generative AI Artificial Inteligence Metrics AWS 69

Honeycomb

FEBRUARY 5, 2020

New eGuide takes a closer look at Prometheus, ELK and Jaeger : Open source tooling has its benefits. Popular open source tools fall into one of three buckets – logs, metrics, and tracing. Prometheus – A time series database for metrics. It can feel like a double whammy.

Open Source 60

Open Source Tools Metrics System 60

AWS Machine Learning - AI

MARCH 13, 2025

When customers receive incoming calls at their call centers, MaestroQA employs its proprietary transcription technology, built by enhancing open source transcription models, to transcribe the conversations. The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 97

Honeycomb

JANUARY 24, 2024

Observability has three pillars: metrics, logs, and traces.” But logs are expensive and everybody wants dashboards… so we buy a metrics tool. Logs, metrics, traces, APM, RUM. Metrics Metrics are the great-granddaddy of telemetry formats; tiny, fast, and cheap. Observability 1.0 On and on it goes.

Tools 143

Tools Metrics Software Review Engineering 143

AWS Machine Learning - AI

APRIL 24, 2024

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. Additionally, you can access device historical data or device metrics. It serves as the data source to the knowledge base.

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

AWS Machine Learning - AI

MARCH 3, 2025

This guide demonstrates how to deploy an open source FM from Hugging Face on Amazon Elastic Compute Cloud (Amazon EC2) instances across three locations: a commercial AWS Region and two AWS Local Zones. We use Metas open source Llama 3.2-3B 3B as the FM for this demonstration. This is a lightweight FM from the Llama 3.2

AWS 72

AWS Artificial Inteligence Technical Review Systems Review 72

CIO

JUNE 28, 2023

“When you create an app bundle, AppFabric creates the required AWS Identity and Access Management (IAM) role in your AWS account, which is required to send metrics to Amazon CloudWatch and to access AWS resources such as Amazon Simple Storage Service (Amazon S3) and Amazon Kinesis Data Firehose,” AWS wrote in a blog post.

Generative AI 204

Generative AI AWS Artificial Inteligence Enterprise 204

Battery Ventures

MARCH 3, 2021

Much of this success was driven by Mongo’s open-source community. While the business value of open-source communities can sometimes be difficult to measure and quantify, in Mongo’s case, it only took a small percentage of users to convert to paying customers to build an enduring business.

Open Source 98

Open Source Company Cloud Metrics 98

AWS Machine Learning - AI

MARCH 11, 2025

With these containers, you can use high-performance open source inference libraries like vLLM , TensorRT-LLM , and Transformers NeuronX to deploy LLMs on SageMaker endpoints. These containers bundle together a model server with open source inference libraries to deliver an all-in-one LLM serving solution.

Artificial Inteligence 67

Artificial Inteligence AWS Generative AI Metrics 67

Cloudera

JULY 19, 2023

Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The hardware was provided by Cisco as an open source partnership with Cloudera.

Storage 70

Storage Performance Hardware Architecture 70

Xebia

FEBRUARY 1, 2024

LLM Fine-tuning NeurIPS 2023 featured a challenge to efficiently fine-tune open-source LLM models on public datasets. The challenge is set up as follows: The base model needs to be from a list of approved open-source models. Of course, the backend relied on some storage. We participated in this challenge.

Artificial Inteligence 130

Artificial Inteligence Training Open Source Storage 130

TechCrunch

MAY 10, 2022

“But these systems have many facets … Open-source databases like PostgreSQL and MySQL are getting better each year, but more features means deployment challenges. “This was … right around the time powerful machine learning technologies became more accessible with open source frameworks and hardware acceleration.

Artificial Inteligence 191

Artificial Inteligence Machine Learning Database Administration Open Source 191

Altexsoft

NOVEMBER 30, 2018

February 1998 became one of the notable months in the software development community: The Open Source Initiative (OSI) corporation was founded and the open source label was introduced. The term represents a software development approach based on collaborative improvement and source code sharing. Well, it doesn’t.

Open Source 60

Open Source Software Review Software How To 60

AWS Machine Learning - AI

MARCH 13, 2025

11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. Each test was executed 100 times, with concurrency set to 1, and the average values across key performance metrics were recorded.

Artificial Inteligence 81

Artificial Inteligence AWS Machine Learning Load Balancer 81

Honeycomb

FEBRUARY 22, 2022

A long time ago, in a galaxy far, far away, I said a lot of inflammatory things about metrics. Metrics are s**t salad.”. Metrics are simply nerfed dimensions.”. Metrics suck ,” “metrics are legacy ,” “metrics and time series aggregates will f **g kneecap you.”. Metrics aren’t worthless; they’re just limited.

Software Review 111

Software Review Metrics Systems Review Hardware 111

d2iq

JUNE 2, 2021

Below are the key capabilities you should be looking for in a Kubernetes solution that fits into a hybrid or multi-cloud environment or managed service: Observability - centralized visibility of Kubernetes workloads and infrastructure metrics to manage service availability.

Cloud 106

Cloud Open Source Infrastructure Training 106

AWS Machine Learning - AI

NOVEMBER 7, 2024

Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. A model monitoring solution gathers request and response data, runs evaluation jobs to calculate performance metrics against preset baselines, saves the outputs, and sends an alert in case of issues.

Generative AI 99

Generative AI AWS Enterprise Artificial Inteligence 99

Xebia

DECEMBER 1, 2022

Grafana is a free and open source platform which allows you to query, visualize, alert on and understand your metrics. One more prerequisite is to provision Storage Account with a share for Grafana to store its data in. Displaying PostgreSQL metrics. Conclusion.

Azure 130

Azure Resources Metrics Analytics 130

Bernd Rucker

MAY 25, 2022

With Camunda Platform 8 being available to the public , we regularly answer questions about our open source strategy and the licenses for its various components. The following illustration colors the components according to their license: Green : Open source license. The striped components use a source-available license.

Open Source 98

Open Source Software Review Development Team Review Technical Review 98

Xebia

MARCH 24, 2023

Tip – log system metrics into another database as the application log data. This list is related to Application Performance Monitoring Wikipedia CIO-Wiki Metric data from the infrastructure level.e.g. CPU, Storage, I/O, … Metric data from the application component level.

Metrics 130

Metrics Infrastructure Software Development Applications 130

Linux Academy

DECEMBER 5, 2019

For storage-intensive workloads, AWS Customers will have an opportunity to use smaller instance sizes and still meet EBS-optimized instance performance requirements, thereby saving costs. Athena executes federated queries using Athena Data Source Connectors that run on AWS Lambda. AWS Builder’s Library.

AWS 19

AWS Machine Learning Artificial Inteligence Linux 19

Kentik

FEBRUARY 8, 2023

Popular open-source projects for storage and visualization of traffic telemetry data (and other types of data) include: Prometheus and Grafana : This is a powerful combination of the Prometheus time series database (that focuses on metrics collection) and the Grafana dashboarding-and-alerting platform.

Network 111

Network Open Source Malware Software Review 111

Altexsoft

OCTOBER 27, 2020

As all the tools mentioned above, Ansible is open-source, and has a range of tools for DevOps. The open source version of the SaltStack is free to use. It suggests using YAML or JSON as a declarative language to input configurations through Amazon S3 as an object storage. Ansible offers a free trial.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

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

Altexsoft

JUNE 25, 2019

This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Serving as an enterprise’s single source of truth, data warehouse simplifies reporting and analysis, decision making, and metrics forecasting within the organization.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Netflix Tech

OCTOBER 19, 2020

Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

Infrastructure 95

Infrastructure Microservices Systems Review Storage 95

Honeycomb

SEPTEMBER 24, 2019

It is possible to kludge together an open source version of most of the pieces. If it is metrics based, aggregates at write time, etc — that’s a nonstarter. And if you’re looking to develop a competitive product or an open source solution … here are my notes, godspeed.

Tools 18

Tools Metrics Open Source System 18

Perficient

DECEMBER 19, 2022

View the performance metrics for each component of your application’s infrastructure on a single view to easily pinpoint bottlenecks within the system. JMeter is a powerful open-source tool designed for load and performance testing. This can include Azure Databases, Storage Accounts, Application Gateways, etc.

Azure 94

Azure Testing Applications Metrics 94

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). Initial HA Prometheus.

Load Balancer 74

Load Balancer Metrics Open Source Systems Review 74

CIO

JUNE 14, 2023

Start with storage. Going from 250 PB to even a single exabyte means multiplying storage capabilities four times. When adding more storage nodes, it is important to ensure that the capacity addition is more optimal and efficient. So, what does it require for organizations to go from PB to EB scale?

Data 97

Data Scalability Storage Big Data 97

Altexsoft

FEBRUARY 11, 2020

You’ll also be introduced to nine open-source tools you can use to automate and streamline your incident response processes. The following are popular, free, open-source tools you can use to automate or streamline your incident response process. In this article, you’ll learn what incident response is. GRR Rapid Response.

Tools 109

Tools Linux Analysis Open Source 109