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 109

Load Balancer Metrics Network Cloud 109

Perficient

JULY 20, 2023

Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. It is critical to regularly rationalize your cloud environments and look for places to reduce tier sizes or de-provision un-used resources.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

Prisma Clud

OCTOBER 7, 2024

These Prisma Cloud Saved Views improvements streamline collaboration, keeping your team aligned on key security metrics. This eliminates the need to individually toggle visibility for Shared Views. If needed, you can still toggle visibility off. This enhancement provides broader coverage for securing your AWS environment.

Innovation 59

Innovation Cloud Load Balancer AWS 59

Honeycomb

NOVEMBER 25, 2024

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow.

Continuous Delivery 57

Continuous Delivery Metrics Engineering Fractional CTO 57

AWS Machine Learning - AI

NOVEMBER 7, 2024

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API.

Generative AI 109

Generative AI AWS Artificial Inteligence Enterprise 109

Perficient

DECEMBER 13, 2023

Organized Data Storage AWS S3 (Simple Storage Service) stores the structured, unstructured, or semi-structured data. Performance Monitoring on the Cloud AWS CloudWatch serves as a vigilant monitoring tool that provides alarms and logs for tracking and analysis of ETL job performance metrics, ensuring efficient and optimized workflows.

Healthcare 52

Healthcare AWS Data Lambda 52

CircleCI

MARCH 22, 2021

For instance, it may need to scale in terms of offered features, or it may need to scale in terms of processing or storage. But at some point it becomes impossible to add more processing power, bigger attached storage, faster networking, or additional memory. Scaling data storage. Scaling file storage.

Applications 59

Applications Load Balancer Software Review Storage 59

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). Introduction.

Load Balancer 74

Load Balancer Metrics Open Source Systems Review 74

Kentik

APRIL 16, 2023

DevOps is blind to the network While DevOps teams may be skilled at building and deploying applications in the cloud, they may have a different level of expertise when it comes to optimizing cloud networking, storage, and security. Unaddressed, this can lead to unreliable (and unsafe) application environments.

Network 64

Network Applications Development Load Balancer 64

Perficient

FEBRUARY 25, 2023

Divide ETL works with Series of Mappings Use Concurrent Workflow Exec setting to enable parallel loads with different Params Process ETL in multiple batches (ex. 2 times a day) to release the Table post load If Complex ETL logic causes slowness, use FILE as TGT. Delegate load b/w DB and ETL Servers.

Guidelines 64

Guidelines Performance Load Balancer Storage 64

Perficient

MARCH 29, 2023

For example, one deployment might require more nodes or storage capacity than another, and these resources can be allocated or adjusted as needed without affecting the other deployments. Availability ECE provides features such as automatic failover and load balancing, which can help ensure high availability and minimize downtime.

Enterprise 64

Enterprise Cloud Disaster Recovery Load Balancer 64

Codegiant

JUNE 4, 2024

Docker, containerd ) and manages their lifecycle Pod: The smallest deployable unit in Kubernetes, representing one or more containers sharing the same network namespace and storage. Automated Scaling: It adjusts the number of running instances based on resource usage or custom metrics. Container Runtime: Executes containers (e.g.,

Load Balancer 52

Load Balancer Storage Resources Architecture 52

Codegiant

JUNE 4, 2024

Docker, containerd ) and manages their lifecycle Pod: The smallest deployable unit in Kubernetes, representing one or more containers sharing the same network namespace and storage. Automated Scaling: It adjusts the number of running instances based on resource usage or custom metrics. Container Runtime: Executes containers (e.g.,

Load Balancer 52

Load Balancer Storage Resources Architecture 52

Honeycomb

JUNE 22, 2022

This is supplemental to the awesome post by Brian Langbecker on using Honeycomb to investigate the Application Load Balancers (ALB) Status Codes in AWS. Since Azure AppService also has a Load Balancer serving the application servers, we can use the same querying techniques to investigate AppService performance.

Azure 62

Azure Load Balancer Linux Software Review 62

The Crazy Programmer

JULY 25, 2020

Load balancing – you can use this to distribute a load of incoming traffic on your virtual machine. OS guest diagnostics – You can turn this on to get the metrics per minute. NIC network security group – It consists of the security rules that we want to apply on our network. For details – [link].

Azure 249

Azure Virtualization Windows Data Center 249

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. Use the Trusted Advisor Idle Load Balancers Check to get a report of load balancers that have a request count of less than 100 over the past seven days.

AWS 52

AWS Serverless Load Balancer Lambda 52

CircleCI

JANUARY 24, 2022

Monitoring is the act of taking the data and metrics that observability makes available and tracking them over time so that anomalies, errors, and downtime are noticeable immediately. By monitoring the metrics of running systems, developers can detect when these systems begin to deviate from normal behavior. What is monitoring?

Software Development 52

Software Development Software Development Metrics 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

Linux Academy

MARCH 28, 2019

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. Aggregating metrics from diverse nodes is feasible with tooling such as Prometheus. Machine Learning.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Exadel

MARCH 10, 2020

Consul is a popular “infra tool” that can be used as a distributed key-value storage, as well as a service discovery feature that includes back end storing IPs, ports, health info, and metadata about discovered services. Consul is quite flexible and the monitoring system has numerous metrics. What is Consul?

DevOps 52

DevOps Microservices Load Balancer Architecture 52

Kentik

SEPTEMBER 27, 2019

load balancing, application acceleration, security, application visibility, performance monitoring, service discovery and more. Consistent Load Balancing for Multi-Cloud Environments. Partnership with Nvidia to offer virtualized GPUs : Either on-premise or as part of VMware Cloud on AWS.

Load Balancer 53

Load Balancer Conference AWS Virtualization 53

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). Business workflow automation. Geospatial analysis.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Netflix Tech

SEPTEMBER 10, 2024

KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. The DeviceToDeviceManager is also responsible for observability, with metrics around cache hits, calls to the data store, message delivery rates, and latency percentile measurements.

Systems Review 91

Systems Review Software Review Technical Review Policies 91

AWS Machine Learning - AI

MAY 30, 2024

These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store. The Streamlit app is hosted on an Amazon Elastic Cloud Compute (Amazon EC2) fronted with Elastic Load Balancing (ELB), allowing Vitech to scale as traffic increases.

Artificial Inteligence 123

Artificial Inteligence Technical Review Development Team Review Software Review 123

Capgemini

JUNE 8, 2021

According to a new report from the Capgemini Research Institute (CRI), the rising demand for computing power and data storage poses “a significant environmental challenge.”. AI/ML can deliver critical load balancing techniques that optimize workflows and enable dynamic scheduling based on renewable power.

Sustainability 52

Sustainability Data Center Artificial Inteligence Energy 52

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.) There are the obvious cases, like unattached storage volumes that are still being paid for.

Metrics 40

Metrics Systems Review Storage Data Center 40

O'Reilly Media - Ideas

AUGUST 20, 2024

Can operations staff take care of complex issues like load balancing, business continuity, and failover, which the applications developers use through a set of well-designed abstractions? But that argument isn’t really convincing without metrics. That’s the challenge of platform engineering. Document that.

Engineering 112

Engineering Software Review Weak Development Team Software Development 112

Instaclustr

SEPTEMBER 9, 2021

Client nodes act as a gateway to the cluster and help load balance the incoming ingest and search requests. Storing the replica would require additional storage space and can slow down indexing operations as the data needs to be indexed to both primary and replica shards. Metrics Aggregations. Numeric Metric Aggregations.

Architecture 55

Architecture Metrics Scalability Analytics 55

taos

OCTOBER 10, 2019

Load balancers can seamlessly move traffic away from offline web and app servers; databases can fail-over to a secondary node, etc. An example of this is storage and power infrastructure?—?both Storage volumes may need to be created for the machine. Automate Recovery Recovery time is a key metric for your architecture.

Cloud 40

Cloud Infrastructure Load Balancer Storage 40

Kentik

MARCH 6, 2019

Let’s first review a few basic Kubernetes concepts: Pod: “A pod is the basic building block of Kubernetes,” which encapsulates containerized apps, storage, a unique network IP, and instructions on how to run those containers. A Refresh: Kubernetes Basics. Application developers usually assume that the network below layer 4 “just works.”

Network 63

Network Microservices .Net Load Balancer 63

Cloudera

MAY 22, 2018

Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis. track model metrics, performance, and any model artifacts the user specifies. now extends the platform experience from research to production.

Data 41

Data Load Balancer Artificial Inteligence Machine Learning 41

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

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 Technical Review B2C 98

Instaclustr

MAY 19, 2021

In order to perform this critical function of data storage and protection, database administration has grown to include many tasks: Security of data in flight and at rest. Interpretation of data through defined storage. This is the core of the system which manages the data storage and retrieval layer. P stands for post.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36

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. All storage nodes are unreachable from the internet.

Software Review 63

Software Review Load Balancer Systems Review Internet 63

Cloudera

JUNE 28, 2022

It requires setting up load balancers, DNS records, certificates, and keystore management. . Our example in this blog will use the functionality within Cloudera DataFlow and CDP to implement the following: Apache NiFi in Cloudera DataFlow will read a stream of transactions sent over the network.

Analytics 84

Analytics Artificial Inteligence Machine Learning Cloud 84

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. This doesn’t even include reads, storage, point-in-time recovery, VPC endpoints or data transfer.

AWS 52

AWS Serverless Open Source Backup 52