Honeycomb

NOVEMBER 19, 2024

phenomenon We’ve all heard the slogan, “metrics, logs, and traces are the three pillars of observability.” You probably use some subset (or superset) of tools including APM, RUM, unstructured logs, structured logs, infra metrics, tracing tools, profiling tools, product analytics, marketing analytics, dashboards, SLO tools, and more.

Software Review 133

Software Review Weak Development Team Metrics Technical Review 133

TechCrunch

APRIL 6, 2023

Honeycomb was founded in 2016 by two former Facebook engineers to create a new way of looking at application monitoring based on the internal tooling they had seen at Facebook. As the world shifted from applications performance monitoring to observability, Yen says Honeycomb was at the forefront of this shift.

Microservices 248

Microservices .Net Metrics Conference 248

TechCrunch

AUGUST 16, 2021

Cisco announced on Friday that it’s acquiring Israeli applications-monitoring startup Epsagon at a price pegged at $500 million. The purchase gives Cisco a more modern microservices-focused component for its growing applications-monitoring portfolio. billion, and ThousandEyes, which it nabbed last year for $1 billion.

Microservices 246

Microservices Applications Metrics Internet 246

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

Microservices 105

Microservices Architecture Load Balancer MVC 105

OverOps

FEBRUARY 19, 2020

Below we outline common approaches to distributed tracing, the challenges these methods pose and how OverOps can help deliver greater insights when troubleshooting across microservices. The accelerated adoption of microservices and increasingly distributed systems brings the promise of greater speed, scalability and flexibility.

System 195

System Microservices Weak Development Team How To 195

Xebia

JUNE 7, 2022

DevOps teams must take into account the whole picture of building applications, from features to costs, from application monitoring and underlying infrastructure instead of only being responsible for building features for their applications. There are also some downsides to Kubernetes.

Azure 130

Azure Microservices Serverless Applications 130

OverOps

MAY 14, 2019

Containerized microservices enable developers and DevOps engineers to meet these demands. Microservices are simple to develop, test, deploy, and scale, but they’re not without their own challenges. Each microservice must be individually configured, deployed, and monitored. What is Kubernetes?

Microservices 203

Microservices Software Review Open Source How To 203

Dzone - DevOps

OCTOBER 25, 2023

IT teams have been observing applications for their health and performance since the beginning. If observability is not something new and there are a plethora of monitoring and observability tools available in the market, why bother about OpenTelemetry?

Microservices 98

Microservices Metrics DevOps Applications 98

OverOps

JULY 25, 2018

Everyone in tech is busy discussing Kubernetes, containers, and microservices as if the basics of DevOps and continuous delivery are all figured out. There’s not enough high-level data to inform application owners about application behavior. There’s not enough granular data to inform developers about application behavior.

Weak Development Team 239

Weak Development Team Software Review Technical Review Microservices 239

Dzone - DevOps

MARCH 18, 2024

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

Microservices 96

Microservices Architecture Load Balancer Cloud 96

DevOps.com

JANUARY 21, 2019

From software as a service (SaaS) and platform as a service (PaaS) to functions as a service (FaaS) and SaaS-delivered applications, service delivery has become paramount to business goals and practices. The post Hooked on Service Metrics appeared first on DevOps.com.

Metrics 82

Metrics Microservices DevOps Scalability 82

Honeycomb

APRIL 23, 2025

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. Metrics-heavy shops are used to blaming custom metrics for their cost spikes, and for good reason. If you use a lot of custom metrics, switching to the 2.0 Every multiple pillars platform can handle your metrics, logs, traces, errors, etc.,

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

Honeycomb

NOVEMBER 6, 2024

Logs are time-stamped records generated by software applications, services, or network devices. They provide a sequential account of events that occurred within a system, including details of what happened, when it happened, and the state of the application during the event. What are logs? What are traces? What are traces composed of?

Compliance 72

Compliance Applications System Software 72

Datavail

OCTOBER 5, 2021

If you’re in the technology field and you live on planet earth, you’ve probably heard the term “microservices” thrown around. The purpose of this article will be to give you a familiarity with microservices and what it (not “they”) does. Microservices. Microservices is not just a buzzword. It’s almost become a buzzword.

Microservices 81

Microservices eCommerce Architecture Applications 81

Accenture

APRIL 3, 2019

Microservices architecture has become popular over the last several years. Many organizations have seen significant improvements in critical metrics such as time to market, quality, and productivity as a result of implementing microservices. Recently, however, there has been a noticeable backlash against microservices.

Microservices 92

Microservices Technical Review Software Review Systems Review 92

OverOps

JULY 1, 2019

Enterprise development and IT Ops teams have various goals that they work towards, most of which fall under two main categories: driving innovation and maintaining application reliability (e.g. When it comes to application reliability, it can be hard to know where to start. The Agility-Reliability Paradox. software quality).

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

Dzone - DevOps

MARCH 16, 2023

Significance of Bottleneck Analysis in Microservices Bottleneck analysis has become a significant part of microservices development for many reasons. Identify and Isolate Performance Issues Conducting a bottleneck analysis allows the developer to pinpoint specific areas where the application is experiencing performance issues.

Microservices 75

Microservices Analysis Metrics Performance 75

Confluent

AUGUST 1, 2019

At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system. At the core of each shared state microservice we built was a Kafka Streams instance with a rather simple processing topology.

Microservices 20

Microservices Systems Review System Software Review 20

Dzone - DevOps

OCTOBER 26, 2023

When it comes to software development, application integration testing often finds itself in a somewhat nebulous space. With a shift towards microservices and highly modular architectures, the importance of application integration testing has never been greater. We often ask ourselves, "Why is it important?"

Testing 97

Testing Applications Strategic Planning Microservices 97

OverOps

MARCH 26, 2019

How many errors does the average application have? We all know application issues cost money, but quantifying it – well, that’s a harder task. Problems with a high likelihood of crashing an application or causing serious performance issues clearly contribute to technical debt. Every application has errors.

Technical Review 214

Technical Review Report Weak Development Team Software Review 214

Newgen Software

NOVEMBER 9, 2022

But did you ever ask yourself how an application does that? Applications talk to each other using intermediary software, an API, or an Application Programming Interface. The post API Testing Automation – Benefits, Metrics, and how to use for Microservices appeared first on Newgen.

Microservices 59

Microservices Metrics Testing How To 59

Netflix Tech

AUGUST 13, 2020

A metric crossed a threshold. This is a critical application so you drag yourself out of bed, open your laptop, and start poring through dashboards for more info. Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health.

Applications 87

Applications Systems Review Technical Review Metrics 87

TechCrunch

OCTOBER 7, 2021

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. The distributed tracing tools also being announced today speak to how Chronosphere will be, going forward, looking for further applications of its monitoring tech.

Cloud 209

Cloud Sport Open Source Machine Learning 209

Honeycomb

NOVEMBER 25, 2024

The goal wasn’t just about having some insights from application performance monitoring; it was about embedding observability into the development process, aligning with service level objectives (SLOs), and enabling engineers to detect and resolve issues faster than ever. Early adopters quickly saw value.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59

OverOps

AUGUST 14, 2018

Splunk helps organizations understand where things go wrong in applications, how to optimize the customer experience and to identify the fingerprints of fraud. It ingests this data from a myriad of sources but one of the largest contributors is the log files associated with our applications. It has become a standard in the data center.

Data 189

Data How To Metrics Artificial Intelligence 189

DevOps.com

DECEMBER 6, 2022

Organizations are increasingly using distributed tracing to monitor their complex, microservice-based architectures. Distributed tracing has become essential in microservice applications, cloud-native and distributed systems.

Microservices 135

Microservices Serverless Architecture Applications 135

OverOps

AUGUST 1, 2018

So we set out to rethink the way we obtain information about errors and exceptions from our applications and services. Containers and microservices have become a default standard for the way we architect new applications. It often felt like we were fighting with one hand tied behind our backs.

DevOps 37

DevOps Microservices Artificial Inteligence Machine Learning 37

Netflix Tech

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. Cosmos is a computing platform for workflow-driven, media-centric microservices.

Microservices 71

Microservices Video Metrics Media 71

Linux Academy

JANUARY 29, 2019

The rise of containerization technologies, like Docker, and systems for orchestrating and deploying these containers, like Kubernetes, have completely transformed the traditional application architecture. Traditionally, an application was more of a monolith. Because of this, manual intervention can sometimes be necessary.

Microservices 60

Microservices Linux Architecture Resources 60

Gorilla Logic

JUNE 16, 2020

If you want to develop microservices or backend applications in Java and make use of innovative and new technologies while also reducing coding effort, speeding development time, and producing a more resilient application, you should consider using Jakarta EE and MicroProfile. What is Jakarta EE? . pom.xml. <dependency>

Microservices 74

Microservices How To Metrics Applications 74

Xebia

DECEMBER 9, 2023

Underlying technology of Chaos Studio for Azure Kubernetes Service is the opens source platform Chaos Mesh We started with deploying a microservice application on to AKS. This application uses DAPR to add some more robustness to the application. Without metrics, you are blind. This is what Dapr brings to the table.

Innovation 130

Innovation Azure Microservices IoT 130

Xebia

SEPTEMBER 30, 2021

Consumer lag is the most important metric to monitor when working with event streams. However, it is not available as a default metric in Azure Insights. Want to have this metric available as part of your monitoring solution? A consuming application can have multiple instances that can each read from multiple partitions.

Azure 130

Azure Metrics Groups Microservices 130

Perficient

MARCH 18, 2025

HCL Commerce Containers provide a modular and scalable approach to managing ecommerce applications. framework to build server-side rendered (SSR) and statically generated (SSG) React applications. Registry app : This app implementsa service registry to maintain a directory of all microservices and their instances (Containers).

Load Balancer 52

Load Balancer Microservices eCommerce Scalability 52

Honeycomb

FEBRUARY 16, 2024

Application performance monitoring, also known as APM, represents the difference between code and running software. APM answers these questions: Is my application working? APM brings this level of metric rigor to applications, recording uptime, requests received, statuses returned, latency, and resource usage for each running process.

Performance 84

Performance Applications Metrics Artificial Inteligence 84

Honeycomb

NOVEMBER 17, 2023

Applications can no longer simply be understood by examining their source code or relying on traditional monitoring methods. The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Software systems are increasingly complex.

Metrics 126

Metrics Software Review Analysis Technical Review 126

Xebia

FEBRUARY 20, 2023

The project involved decommissioning an extensive monolith Scala application into smaller microservices. The team used the Strangler Fig pattern to decommission the legacy system gradually in new Scala and modern microservices running in Kubernetes. We’ll put the focus on Kubernetes and the Java Virtual Machine ( JVM ).

Microservices 130

Microservices Resources Software Review Metrics 130

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. Software engineers want to instrument their applications… so we buy an APM tool. Logs, metrics, traces, APM, RUM. A “metric” consists of a single number, often with tags appended.

Tools 143

Tools Metrics Software Review Engineering 143