Honeycomb

AUGUST 29, 2022

Someone once described dashboards to me as “expensive TV for software engineers.” Dashboards then become formulaic reflections of these preformed notions: performance is defined by nines rather than by user experience, latency in parts of the application hides behind unintuitive metrics like p90, and error rates become noise.

Metrics 52

Metrics Infrastructure Resources Applications 52

Battery Ventures

MARCH 10, 2021

But there’s an outlier here: software engineering. Despite software engineering being one of the fastest-growing professions—development platform GitHub is adding more than 10 million developers a year, with 56 million total developers now on that platform–software delivery is still more of an art than a science.

Engineering 64

Engineering Data Software Engineering Software Development 64

Apiumhub

JUNE 13, 2023

Software Development Experts Interviews Inma Navas Our first interview of “Talks with Software Development Experts,” was with Inma Navas, a software engineer and the winner of our Software Architecture Metrics book giveaway. Her current stack is Java and Kotlin.

Software Development 65

Software Development Software Review Software Development 65

Honeycomb

JANUARY 13, 2023

In this blog, we unpack how observability fits into the landscape of other modern practices, such as the DevOps, SRE (Site Reliability Engineering), and cloud-native movements. This session also addresses example technologies used to build cloud-native apps, such as containers, service meshes, microservices, and immutable infrastructure.

DevOps 98

DevOps Culture Microservices Engineering 98

OverOps

DECEMBER 18, 2018

At Serverless Computing London keynote, Charity explained what we mean when we say observability, what it means to have an observable system, how it connects to old methods of monitoring or debugging, and why the modern serverless software engineer should give a flying crap. Metrics, logging, monitoring, and reliability.

Conference 185

Conference Serverless Weak Development Team DevOps 185

Honeycomb

DECEMBER 10, 2020

The widespread adoption of containers, microservices and orchestration have made it easier than ever to take a small bit of software and push it live in front of users — and, in doing so, push a whole bunch of comfortable tasks (debugging, profiling) into uncomfortable territory: production.

Weak Development Team 52

Weak Development Team Development DevOps Metrics 52

LaunchDarkly

SEPTEMBER 13, 2018

Matt Duftler, Senior Software Engineer at Google, and Michael Graff, Senior Software Engineer at Netflix, gave a talk about automated canary deployments. “So And it supports like an extensible set of metric services and judges and cloud platforms and everything else. So what’s canary deployment?

Analysis 58

Analysis Metrics Performance Microservices 58

Agile Engine

FEBRUARY 13, 2024

Additionally, automation empowers the software engineering teams to channel their resources into more complex and critical aspects of product development, enhancing overall efficiency. Time-saving through faster test runs Automated tests run at a pace incomparable to manual testing, accelerating the overall testing phase.

Testing 52

Testing Strategy Software Review How To 52

Apiumhub

MARCH 9, 2023

We contribute a lot to the software development and software architecture communities, and we have identified like-minded companies that focus on working software, deliver great results, and care about community and knowledge sharing. They are a reference in the software development industry.

Software Review 75

Software Review Technical Review Software Software Development 75

OverOps

DECEMBER 18, 2018

At Serverless Computing London keynote, Charity explained what we mean when we say observability, what it means to have an observable system, how it connects to old methods of monitoring or debugging, and why the modern serverless software engineer should give a flying crap. Metrics, logging, monitoring, and reliability.

Conference 100

Conference Serverless Weak Development Team DevOps 100

Honeycomb

OCTOBER 20, 2021

Observability is succeeding APM because it enables teams to quickly find critical issues in their cloud-native, microservices-based apps. Delivering more features, like the recent release of Honeycomb Metrics , to make it easier for legacy APM users to consolidate tools and migrate to observability-based workflows. . for Honeycomb.

Microservices 40

Microservices Engineering Tools Performance 40

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 Software Review Resources Metrics 130

Bernd Rucker

MAY 27, 2020

Which brings us to microservices. Managing Decentralized Workflow Engines Instead of central platforms I advocate for an approach that every team runs its own engine , especially in a microservices context. This means that with microservices you deliberately accept a wild mix of Camunda installations!

Programming 52

Programming Company Architecture Technical Review 52

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. The front-end engineers point out that they need sessions and browser data… so we buy a RUM tool.

Tools 143

Tools Metrics Software Review Engineering 143

CloudGeometry

NOVEMBER 19, 2021

The quality of collaboration in software development is measured by a direct line of sight into the customer experience. DevOps is a given in today’s software engineering world. Especially in a SaaS business, metrics aggregated over time matter most. Read more about this in my prior post. and that’s ok.

DevOps 130

DevOps Metrics Agile Software Development 130

Honeycomb

FEBRUARY 16, 2024

And, if you’re lucky: How does each piece of software and infrastructure fit together to serve each customer? APM brings this level of metric rigor to applications, recording uptime, requests received, statuses returned, latency, and resource usage for each running process. Time-series metrics become very expensive. What is APM?

Performance 84

Performance Applications Metrics Artificial Inteligence 84

Altexsoft

JULY 4, 2022

The infrastructure engineer employs specialized software tools that automate both processes and send alerts about errors, security threats, or performance issues. The expert also documents problems and how they were addressed and creates metrics reports. Infrastructure upgrades and integration project management.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. Today these metrics are used by the Gutenberg team to monitor our publish-propagation SLI and to alert in the event of widespread issues. we’re hiring !

Microservices 75

Microservices Weak Development Team Artificial Inteligence Machine Learning 75

Honeycomb

OCTOBER 11, 2023

In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

DevOps 109

DevOps Weak Development Team Engineering Metrics 109

Honeycomb

SEPTEMBER 23, 2021

You can derive metrics, logs and traces from arbitrarily-wide structured events (which o11y is defined by). You can still get insight into the internal state of systems from their external data even if those are just metrics or logs. A closely related view is that observability has three pillars: metrics, logs and traces.

Metrics 122

Metrics DevOps System Microservices 122

Altexsoft

NOVEMBER 12, 2020

In the words of Ben Treynor Sloss, Google’s VP of engineering who coined the very term SRE , “it’s what happens when you ask a software engineer to design an operation function.”. Metrics are crucial. Treat operations as a software problem. SRE utilizes software engineering to solve operations problems.

DevOps 96

DevOps Engineering Software Review Weak Development Team 96

Netflix Tech

SEPTEMBER 23, 2019

Niosha Behnam | Demand Engineering @ Netflix At Netflix we prioritize innovation and velocity in pursuit of the best experience for our 150+ million global customers. In the event of an isolated failure we first pre-scale microservices in the healthy regions after which we can shift traffic away from the failing one.

Microservices 76

Microservices Systems Review Metrics Software Review 76

Daniel Bryant

MAY 30, 2019

The “ Debunking the Myth: Kubernetes Storage is Hard ” keynote by Saad Ali, Senior Software Engineer at Google, was of interest in regard to storage, and “ Kubernetes Networking: How to Write a CNI Plugin From Scratch ”, by Eran Yanay at Twistlock, was a good overview of networking.

Policies 40

Policies Technical Review Cloud Software Review 40

AWS Machine Learning - AI

FEBRUARY 1, 2024

Use a microservices approach to isolate other components from these less mature frameworks. Observability Besides the resource metrics you typically collect, like CPU and RAM utilization, you need to closely monitor GPU utilization if you host a model on Amazon SageMaker or Amazon Elastic Compute Cloud (Amazon EC2).

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

CircleCI

AUGUST 22, 2019

Clojure remains our language of choice, but as we continue to pull microservices from our monolith (over a dozen at this point), we are committed to using the right set of tools for the job and we evaluate that decision for each new service. Go is also used for CLI tools. The frontend. Come work with us and help us ship our own code faster!

Software Review 18

Software Review Technical Review Authentication Engineering 18

LeanEssays

JULY 16, 2015

In fact, we have found that almost without exception, software engineers love to work in a Continuous Delivery environment because of the challenge, the discipline, the clarity, and the immediate feedback. If you visit Silicon Valley these days you will find that software developers have been replaced by software engineers.

Agile 69

Agile Software Review Technical Review Microservices 69

Apiumhub

OCTOBER 18, 2022

This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. He has been in the software industry since 1983 and has significant experience and expertise in application, integration, and enterprise architecture.

Software Review 52

Software Review Architecture Technical Review Software 52

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven? Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Netflix Tech

FEBRUARY 9, 2021

By offloading token processing from these systems to the central Edge Authentication Services, downstream systems saw significant gains in CPU, request latency, and garbage collection metrics, all of which help reduce cluster footprint and cloud costs. And, we’re hiring Senior Software Engineers !

Authentication 88

Authentication Systems Review Architecture Microservices 88

CircleCI

MARCH 30, 2022

I designed these tutorials to introduce you to k6 and to show you how to use k6 for performance testing of microservices. In the tutorial for performance testing with k6, I covered how to output k6 metrics and logs to the cloud for analysis and visibility by your whole team. You are ready to start learning! Conclusion.

Testing 52

Testing Software Review Systems Review Metrics 52

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

Kentik

DECEMBER 11, 2018

Microservices (or sometimes called Microservice architecture ) - This refers to structuring an application with a collection of loosely coupled, lightweight services, each implementing a specific, granular piece of the application. Development teams can iterate or scale each microservice independent of the others, speeding development.

Architecture 45

Architecture Network Cloud Microservices 45

Honeycomb

NOVEMBER 6, 2018

This is a guest post from Salih Kardan, Software Engineer @Thundra and Committer at Apache, formerly SRE @Opsgenie. Thundra collects and correlates all your metrics, logs, and traces, allowing you to quickly identify problematic invocations and also analyzes external services associated with that function.

Serverless 44

Serverless Lambda AWS Metrics 44

Confluent

MARCH 20, 2019

Consider building a metrics and alerting pipeline in which events are bucketed into two-minute windows. Each time the graph refreshes, it will get the most recent metric values in each window. This essentially corresponds to line 1 of Metrics App with Alerts. We window the incoming events in line 3 of Metrics App with Alerts.

Windows 106

Windows Metrics Applications Programming 106

Abhishek Tiwari

JULY 20, 2019

For instance, if you are fast-growing VC funded e-commerce startup and your number one business priority is multiplying current growth and performing exceptionally well on key financial metrics charted out by your investors. Is it possible to draw inspiration from outside of software engineering? You want to move fast.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

Netlify

SEPTEMBER 26, 2021

With events, metrics, logs, and traces, we are able to contextualize and identify performance issues within our plugins, 3rd party APIs, and other parts of our website. Presenter: Kwa Jie Hao, Software Engineer at Open Government Products. Learn more ? . Speeding up Singapore’s COVID-19 response with the Jamstack. Learn more ?

Weak Development Team 59

Weak Development Team Serverless Software Review Apparel 59

Altexsoft

MARCH 24, 2021

With all metrics in hand, healthcare businesses can better understand conditions of their patients, prevent adverse events, develop better diet and treatment plans, and manage chronic diseases more effectively. In any case, you need experienced software engineers on your side to integrate with the API.

Tools 69

Tools Healthcare Insurance Video 69