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.

Metrics 111

Metrics Software Review Systems Review Hardware 111

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place.

Metrics 85

Metrics Government Lambda Systems Administration 85

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 84

AWS Linux Storage Lambda 84

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

Linux Academy

MAY 1, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further.

AWS 60

AWS Linux Storage Lambda 60

ParkMyCloud

JULY 15, 2020

Amazon S3 Storage: 5GB of standard storage. micro database usage using MySQL, PostgreSQL, MariaDB, Oracle BYOL, or SQL Server, 20 GB of General Purpose (SSD) database storage and 20 GB of storage for database backups and DB Snapshots. . Managed Disk Storage: 64 GB x 2 (P6 SSD) . Blob Storage: 5GB (LRS hot block) .

Azure 60

Azure Comparison AWS Google Cloud 60

Netflix Tech

JULY 30, 2019

Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. As such, Conductor 2.x

Lambda 75

Lambda Weak Development Team Systems Review Metrics 75

Hypergrid

NOVEMBER 15, 2018

Support for AWS Lambda. AWS Lambda is the leading Serverless or Function-as-a-service (FaaS) service, and it gives amazing productivity and agility to developers without having to provision or monitoring any underlying infrastructure. HyperCloud 6.0 Proactive Disaster Recovery.

Disaster Recovery 56

Disaster Recovery Cloud Lambda Azure 56

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". For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

Artificial Inteligence 105

Artificial Inteligence Lambda Generative AI Knowledge Base 105

AWS Machine Learning - AI

JANUARY 26, 2024

Next, make sure that all data at rest is encrypted with AWS KMS, including considering the use of CMKs, and all data and models are versioned and backed up using Amazon Simple Storage Service (Amazon S3) versioning and applying object-level immutability with Amazon S3 Object Lock.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

The Citus Data

DECEMBER 7, 2019

The Windows team measures the quality of new software builds by scrutinizing 20,000 diagnostic metrics based on data flowing in from 800 million Windows devices. The RQV dashboard tracks 20,000 diagnostic and quality metrics, and currently supports over 6 million queries per day, with hundreds of concurrent users. TB of memory.

Azure 53

Azure Analytics Windows Weak Development Team 53

Honeycomb

OCTOBER 29, 2020

Have you seen Lambda: A Serverless Musical ? But yet we don’t call it “outsourcing” when we rely on companies like AWS to run our datacenter and provide compute or storage, or when we use Google apps for our email, documents, and spreadsheets? If not, you really have to. That work isn’t going away. Yes, I’m going to improve your… ops!

Serverless 67

Serverless Weak Development Team Software Engineering Infrastructure 67

Netflix Tech

MAY 21, 2019

To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. The metrics relevant to the training and recommendation process are reported to Atlas and visualized using Netflix’s Lumen. It could help us design and implement more targeted reward functions.

Testing 65

Testing Training Continuous Integration AWS 65

Hypergrid

JANUARY 16, 2019

Each AWS service is billed separately, using its own metric. Most services are straightforward – e.g. an EC2 instance is billed per second; some are a bit more complex – e.g. Lambda is priced both per invocation and per GB-sec used. The reports themselves are free, but S3 storage rates do apply. Billing Basics.

AWS 40

AWS Report Lambda Resources 40

AWS Machine Learning - AI

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

DevOps 85

DevOps Artificial Inteligence Generative AI Enterprise 85

AWS Machine Learning - AI

MAY 7, 2024

The workflow consists of the following steps: The user uploads the meeting recording as an audio or video file to the project’s Amazon Simple Storage Service (Amazon S3) bucket, in the /recordings folder. Transcripts are then stored in the project’s S3 bucket under /transcriptions/TranscribeOutput/. AWS CDK version 2.0

Artificial Inteligence 96

Artificial Inteligence Meeting Generative AI AWS 96

Hypergrid

JANUARY 16, 2019

Each AWS service is billed separately, using its own metric. Most services are straightforward – e.g. an EC2 instance is billed per second; some are a bit more complex – e.g. Lambda is priced both per invocation and per GB-sec used. The reports themselves are free, but S3 storage rates do apply. Billing Basics.

AWS 40

AWS Report Lambda Resources 40

Linux Academy

JUNE 25, 2019

We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. Database Essentials. Google Cloud Concepts.

Linux 60

Linux Course Cloud Google Cloud 60

AWS Machine Learning - AI

APRIL 11, 2024

Vector databases efficiently index and organize the embeddings, enabling fast retrieval of similar vectors based on distance metrics like Euclidean distance or cosine similarity. An Amazon S3 object notification event invokes the embedding AWS Lambda function. Vector databases – Vector databases are used to store embeddings.

Artificial Inteligence 98

Artificial Inteligence Lambda AWS Machine Learning 98

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 19

AWS Machine Learning Artificial Inteligence Linux 19

Instaclustr

JUNE 4, 2019

If you are looking for a business metric, from the business application standpoint, here it is – The system processed a massive 19 Billion events per day (19 x 10^9). We also used Open Source Prometheus to monitor performance and other metrics, and OpenTracing and Jaeger for distributed tracing.

Scalability 29

Scalability Open Source AWS Applications 29

AWS Machine Learning - AI

DECEMBER 22, 2023

Although new components have worked their way into the compute layer (fine-tuning, prompt engineering, model APIs) and storage layer (vector databases), the need for observability remains. In production, these logs and evaluation metrics can be processed at scale with TruEra production monitoring. on(Select.Record.calls[0].args.args[0]).on_output()

Artificial Inteligence 91

Artificial Inteligence Training Metrics Off-The-Shelf 91

Honeycomb

MAY 23, 2022

We’ve previously shared our experience moving Kafka over to Arm instances once AWS offered Graviton2 instance types with on-instance storage (Is4gen and Im4gn), and the wins we saw there ( with help from Amazon ). We’re also very heavy users of AWS Lambda for our storage engine. Finishing the migration.

AWS 88

AWS Lambda Architecture Testing 88

Honeycomb

JUNE 30, 2022

Because of Honeycomb’s unique pricing model where the only variable that impacts your renewal is event consumption, you don’t need to worry about the myriad of factors that impact your costs in traditional APM tools (eg: memory, hosts, Lambda invocations, devices, headcounts, or SKUs). Consolidate logging, tracing, and metrics ingest costs.

How To 98

How To Metrics Lambda Analysis 98

Confluent

JULY 10, 2019

applicationName = 'wordcount-lambda-example'. // Default artifact naming. applicationName = 'wordcount-lambda-example'. // mavenLocal publish publishing { publications { streams(MavenPublication) { artifact distZip } } repositories { mavenLocal() } } // Default artifact naming. zip ==> /wordcount-lambda-example-1.0.0/bin/wordcount-lambda-example

Lambda 87

Lambda Analytics Testing Groups 87

Modus Create

AUGUST 17, 2022

AWS provides a few native tools that can help you gather cost data and system metrics to identify cost-related inefficiencies in your setup: AWS Cost Explorer. With gp3 volumes, you can provision IOPS and throughput independently without increasing storage size. Using AWS S3 Storage the Right Way. Cost and Usage Report.

AWS 52

AWS Serverless Load Balancer Lambda 52

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics. solutions which are more barebones.

Serverless 83

Serverless Azure Metrics AWS 83

Xicom

MARCH 16, 2021

Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. What type of metric will you track? Where will you send these metrics? What kind of metric tooling will you opt for? GIve Sufficient Time For Lambda and API Gateways Configuration.

Serverless 59

Serverless Lambda Development Microservices 59

Gorilla Logic

SEPTEMBER 16, 2021

The three cloud providers we will be comparing are: AWS Lambda. AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . This allows expenses to be easily tracked and monitored so that your Lambda-specific budget can be kept under control. . Azure Functions. Google Cloud.

Serverless 70

Serverless Lambda Cloud AWS 70

Lacework

SEPTEMBER 18, 2023

" — Tony Parrillo, Schneider Electric VP Global Head of Enterprise IT Cybersecurity Figure out what metrics your counterparts in the organization are using. Ask: to what metrics will this role be held accountable? Under the hood, these are serverless functions — in AWS, it’s Lambda). Start metrics for reporting to the board.

Security 82

Security Software Review CTO Systems Review 82

Modus Create

JUNE 20, 2023

You don’t have to provision servers to run apps, storage systems, or databases at any scale. All major cloud providers (AWS, Azure, Google Cloud) provide serverless options, with AWS Lambda being the most popular serverless computing platform. billion in value. You either achieve a key result or you don’t.

Trends 98

Trends Development Serverless Technical Review 98

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 111

Load Balancer Metrics Network Cloud 111

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda. The service launched in 2016 to compete with AWS Lambda. But, every provider has its own calculation tool: S3 calculator by AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

CloudGeometry

FEBRUARY 7, 2022

Additional Isolation Options – Supplementary isolation approaches focused on compute and data Storage considerations. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. This allows shared services such as logging, object storage, user onboarding, etc.,

Architecture 130

Architecture Policies Resources Construction 130

The Agile Monkey

NOVEMBER 27, 2018

AWS offerings like: Cognito (security) S3 (file storage) CloudFront (CDN) DynamoDB (document storage) DynamoDB Accelerator (pass through document storage cache) Drawbacks Still evolving?—?With S3 File storage that we can setup through our Serverless Framework application to store our images. Monitoring/Metrics/Alerting?—?CloudWatch

Serverless 40

Serverless AWS Architecture Microservices 40

Xicom

JUNE 18, 2020

Step 3: 100 User: Using Amazon RDS for Database Storage to Ease Further Operations. Step 5: 10k Users to 100k Users: For Optimum Performance Shifting Static Content to Object-Based Storage. Moreover, for moving the static content to object-based storage you can use AWS services including Amazon S3 and Amazon CloudFront.

SOA 52

SOA AWS How To Technical Advisors 52

Linux Academy

NOVEMBER 6, 2019

Enable Archiving with Azure Blob Storage. Trigger an AWS Lambda Function from an S3 Event. Enabling OpenShift metrics and logging on Azure . Setting Up Lambda Functions with S3 Event Triggers. Testing and Debugging Lambda Functions. Storage and Content Delivery. Configure Azure SQL Database User Access.

Google Cloud 16

Google Cloud Linux Azure AWS 16