Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 183

Best Practices Code Infrastructure Latency 183

Dynatrace

MARCH 28, 2023

Especially when new security vulnerabilities are detected, collaboration with the right people—for example, the team responsible for a vulnerable service—is vital to keeping negative impact low and MTTR at a minimum. Despite increasing automation, software development and incident management are human-centered activities.

Software 192

Software Software Monitoring Software Engineering 192

The Netflix TechBlog

FEBRUARY 1, 2022

You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles. Interviewing can be a daunting endeavor and how companies, and teams, approach the process varies greatly.

Engineering 199

Engineering Games Entertainment Innovation 199

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. After investigating, the software engineering team discovered that it wasn’t leveraging application performance monitoring (APM) tooling data to its full potential.

Mobile 204

Mobile Analytics Best Practices Software Engineering 204

The Morning Paper

JANUARY 16, 2020

Synthesizing data structure transformations from input-output examples , Feser et al., Program synthesis from examples falls into that latter camp, and the use case addressed here is a perfect fit for it: transforming data structures. So for example given the input [[1,3,5],[5,3,2]] the output should be [[3,5],[5,3]].

Programming 56

Programming Benchmarking Testing Systems 56

Dynatrace

MAY 31, 2023

This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

NOVEMBER 17, 2020

We sat together with Armin Ruech and Daniel Dyla, software engineers at Dynatrace and leaders within the OpenTelemetry community, to hear about their involvement with the second most active CNCF project. My name is Armin Ruech, I’m a Software Engineer at Dynatrace and I started as a software developer around 3.5

Open Source 151

Open Source Software Engineering Government Java 151

SQL Server According to Bob

JULY 17, 2018

When starting SQL Server on Linux why are there two (2) sqlservr processes? systemctl status mssql-server mssql-server.service – Microsoft SQL Server Database Engine … CGroup: /system.slice/mssql-server.service ??85829 The parent process handles basic configuration activities and then forks the child process.

Servers 40

Servers Processing Software Engineering Traffic 40

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Industry apps explosion. Here is the definition of this model: ?.

Performance 237

Performance Education Innovation Software Architecture 237

Dynatrace

JANUARY 23, 2024

For example, high-quality data and predictive AI enable causal AI to provide precise, continuous, and actionable insights in real time. Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

The Netflix TechBlog

JUNE 1, 2021

Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

NOVEMBER 22, 2021

If a user encounters an error page on a website, for example, it’s vital to trace the behavior to the original source of failure. To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code. AWS monitoring best practices.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

MARCH 10, 2021

Groups beyond software engineering teams are standing up their own systems and automation. This is an amazing movement providing numerous opportunities for product innovation, but managing this growth has introduced a support burden of ensuring proper security authentication & authorization, cloud hygiene, and scalable processes.

AWS 251

AWS Cloud Games Infrastructure 251

The Netflix TechBlog

OCTOBER 27, 2021

As it often happens in software engineering projects, the project took longer than expected to finish, mostly because the problem of tracking and visualizing thousands of concurrent objects in real-time in a highly distributed environment is a surprisingly non-trivial problem (duh!). Example task-level plugin Try it at home!

Open Source 222

Open Source Monitoring Scalability Code 222

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 279

DevOps Software Engineering Games Java 279

SQL Server According to Bob

SEPTEMBER 9, 2019

Previous posts have discussed partitioning, for example, a partitioned memory object [link] and how a latch maintains the desired access (exclusive, shared, …) [link]. For example: When ‘use database’ takes place the session acquires a shared lock on database. Bob Dorr – Principal Software Engineer SQL Server.

Servers 103

Servers Database Scalability Tuning 103

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Wednesday?—?December Thursday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Wednesday?—?December Thursday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. A general process. ICSE’19.

Software Engineering 92

Software Engineering Engineering Software Software 92

Dynatrace

JUNE 4, 2024

This process, known as auto-adaptive thresholding, eliminates the need to define a static threshold upfront. While platform engineers can build and prepare the necessary infrastructure and templates for self-adoption, developers must still provide some customization.

Metrics 222

Metrics Engineering Code Tuning 222

Strategic Tech

SEPTEMBER 29, 2018

finding good software engineers takes so long and requires so much effort… but it doesn’t have to. Stripe C-Suite Survey As an organisation, there are a whole variety of levers you can pull to significantly improve the quality and speed of your hiring process and notably reduce the costs. Hiring is so hard?—?finding

Software Engineering 40

Software Engineering Open Source Engineering Java 40

Official Blog - World Web Technology

NOVEMBER 9, 2023

This smooth connection with databases makes the custom PHP web development process more manageable and makes web applications work better overall. The systems follow modern software engineering best practices and offer an organized way to build applications. The Process of Hiring Web Developers in India!

Website 59

Website Development Open Source Database 59

Adrian Cockcroft

FEBRUARY 13, 2023

This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example. Good example, well presented interesting new material. SUS304 to SUS311 No talks with these codes.

AWS 64

AWS Energy Architecture Programming 64

Strategic Tech

JANUARY 19, 2020

How we spend our time and apply our resources when developing software systems is possibly the most fundamental and difficult challenge. A natural tendency for software engineers is to gravitate towards the most technically interesting challenges. An example of a commoditised core is a search engine.

Open Source 87

Open Source Games Innovation Strategy 87

O'Reilly

FEBRUARY 2, 2020

Source code is relatively less important compared to typical applications; the training data is what determines how the model behaves, and the training process is all about tweaking parameters in the application so that it delivers correct results most of the time. Second, the behavior of AI systems changes over time.

Software Architecture 68

Software Architecture Monitoring Software Engineering Architecture 68

Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. According to the Dynatrace 2023 DevOps Automation Pulse report, an average of 56% of end-to-end DevOps processes are automated across organizations of all kinds.

DevOps 179

DevOps Artificial Intelligence Government Innovation 179

Testsigma

FEBRUARY 12, 2021

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. The whole process is time-consuming because testers will test on multiple browsers, settings, and devices. Automated tests are reusable.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

The Morning Paper

JANUARY 21, 2020

Routing, for example, is non-deterministic. In summary, software engineers find themselves in a very unenviable position when attempting to resolve an outage with their service. activities escalate following an unexpected event in a monitored process. function distributions of cognitive processes during anomaly response.

Internet 98

Internet Internet Strategy Energy 98

J. Paul Reed

JULY 17, 2023

There are a number of examples, but if you want an aviation-based one: adding a runway to a major international airport. A huge amount of planning and coordination goes into the process of mixing heavy construction equipment and materials with multi-million dollar planes operating all around.

Infrastructure 96

Infrastructure Engineering Systems Software 96

Abhishek Tiwari

JANUARY 9, 2019

When it comes to agile estimation, quite often agile teams spend a big chunk of their time in heavyweight processes like detailed story point estimation to improve the predictability or accuracy of their estimates. For example, an agile team optimised for velocity will have the shortest continuous integration times and branch life.

Tuning 40

Tuning Software Engineering Innovation Engineering 40

All Things Distributed

SEPTEMBER 4, 2017

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. For the past 20 years, thousands of software engineers at Amazon have been working on ML. Machine Leaning at Amazon.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

SQL Server According to Bob

JUNE 15, 2016

The SQL Server strings (nvarchar, varchar, nchar, char, …) are not handled with the runtime library for the vast majority of processing. For example, when you log into the SQL Server the messages about default database and options are returned to the client. Bob Dorr – Principal Software Engineer SQL Server.

Software Engineering 40

Software Engineering Servers Database Engineering 40

The Netflix TechBlog

FEBRUARY 13, 2024

An example data stream for an A/B test where each observation represents play-delay for the control (left) and treatment (right). For example, one situation we might face is that the median or mean play-delay is the same in treatment and control, but the treatment group experiences an increase in the upper quantiles of play-delay.

Testing 239

Testing Software Software Metrics 239

The Morning Paper

OCTOBER 22, 2019

The authors place it within the overall analysis process like this: That looks a lot more waterfall-like than my experience of reality though. Once into the EDA process, another major challenge, that we’ve also looked at in the context of machine learning pipelines (e.g. It comes after data ingestion, wrangling and profiling (i.e.,

Programming 40

Programming Software Engineering Database Analytics 40

Dynatrace

MARCH 6, 2024

” Because of their versatility, teams can use IDPs for all types of software engineering projects, not just those in cloud-native scenarios. Grabner gave the example of one Dynatrace banking customer who built an IDP that enables developers to provision new Azure machines or Chef policies without administrative help.

Engineering 234

Engineering Development DevOps Infrastructure 234