Data Archives - Software Engineering Daily

Splunk is a monitoring and logging platform that has evolved over its 18 years of existence. In its modern focus on observability it is focused on open source and AIOps. Observability has evolved with the growth of Kubernetes, and Splunk’s work around OpenTelemetry has kept parity with the open source community of Kubernetes. Spiros Xanthos The post Splunk Platform with Spiros Xanthos appeared fir...

Barry McCardel Co-Founder and CEO at Hex Caitlin Colgrove Co-Founder and CTO at Hex In contrast to other IDEs, the notebook interface offers software developers a unique environment idealized for data professionals.  Despite the growth in popularity, a surprising learning curve still exists for setup and configuration.  A siloed notebook offers no native collaboration tools.  The post Hex Collabor...

When writing code, test driven development is a common accepted methodology to ensure the development of high quality software.  Your organization’s data, on the other hand, is an entirely different challenge.  Data can be missing due to human error, a failure with a 3rd party provider, a botched release, or dozens of other issues.  When The post Data Quality Using Anomalo with Jeremy Stanley appe...

Database product companies typically have a few phases. First, the company will develop a technology with some kind of innovation such as speed, scalability, or durability. The company will offer support contracts around that technology for a period of time, before eventually building a managed, hosted offering. PlanetScale is a database company built around the The post Scaling PlanetScale with S...

Couchbase is a distributed NoSQL cloud database. Since its creation, Couchbase has expanded into edge computing, application services, and most recently a database-as-a-service called Capella.  Couchbase started as an in-memory cache and needed to be rearchitected to be a persistent storage system. In this episode, I interview Ravi Mayuram, SVP Products and Engineering at Couchbase The post Couchb...

If you haven’t encountered a data quality problem, then you haven’t yet worked on a large enough project.  Invariably, a gap exists between the state of raw data and what an analyst or machine learning engineer needs to solve their problem.  Many organizations needing to automate data preparation workflows look to Trifacta as a solution.  The post Trifacta with Joe Hellerstein appeared first on So...

Relational databases have been a fixture of software applications for decades.  They are highly tuned for performance and typically offer explicit guarantees like transactional consistency.  More recently, there’s been a figurative cambrian explosion of other-than-relational databases.  Simple key value stores or counters were an early win in this space. Managing a graph data structure is The post...

The lifeblood of most companies is their sales departments.  When you’re selling something other than a commodity, it’s typically necessary to carefully groom the onboarding experience for inbound future customers.  Historically, companies approached this in a one-size-fits-all manner, giving all customers a common experience. In today’s data-driven age, a better experience can be provided that Th...

Application observability is a fairly mature area.  Engineering teams have a wide selection of tools they can choose to adopt and a significant amount of thought leadership and philosophy already exists giving guidance for managing your application.  That application is going to persist data.  As you scale up, your system is invariably going to experience The post Metaplane with Kevin Hu appeared...

Consumers are increasingly becoming aware of how detrimental it can be when companies mismanage data.  This demand has fueled regulations, defined standards, and applied pressure to companies.  Modern enterprises need to consider corporate risk management and regulatory compliance. In this interview, I speak with Terry O’Daniel, Director of Engineering (Risk & Compliance) at Instacart. Sponsor...

The internet is a layer cake of technologies and protocols.  At a fundamental level, the internet runs on the TCP/IP protocol.  It’s a packet based system.  When your browser requests a file from a web server, that server chops up the file into tiny pieces known as packets and puts them on the network labeled The post Scalable Streaming Video with Amit Mishra appeared first on Software Engineering...

It does not matter if it runs on your machine.  Your code must run in the production environment and it must do so performantly.  For that, you need tooling to better understand your application’s behavior under different circumstances.  In the earliest days of software development, all we had were logs, which are still around and The post Observability Using Honeycomb.io with Christine Yen...

The manner in which users interact with technology has rapidly switched to mobile consumption.  The devices almost all of us carry with us at all times open endless opportunities for developers to create location-based experiences. Foursquare became a household name when the introduced social check-ins.  Today they’re a location data platform.  Ankit Patel is the The post Location-Based Experience...

Modern business applications are complex.  It’s not enough to have raw logs or some basic telemetry.  Today’s enterprise organizations require an application performance monitoring solution or APM.  Today’s applications are complex distributed systems whose performance depends on a wide variety of factors.  Every single line of code can affect production and teams need insights i...

Infrastructure as Code is an approach to machine provisioning and setup in which a programmer describes the underlying services they need for their projects.  However, this infrastructure code doesn’t compile a binary artifact like traditional source code.  The successful completion of running the code signals that the servers and other components described in the configuration The post Infrastruc...

The first industrial deployments of machine learning and artificial intelligence solutions were bespoke by definition and often had brittle operating characteristics.  Almost no one builds custom databases, web servers, or email clients.  Yet technology groups today often consider developing homegrown ML and data solutions in order to solve their unique use cases.  Today’s modern data The post Mod...

In a version control system, a Monorepo is a version control management strategy in which all your code is contained in one potentially large but complete repository.  The monorepo is in stark contrast to an alternative approach in which software teams independently manage microservices or deliver software as libraries to be imported in other projects.  The post Git Scales for Monorepos with Derri...

Companies that gather data about their users have an ethical obligation and legal responsibility to protect the personally identifiable information in their dataset.  Ideally, developers working on a software application wouldn’t need access to production data. Yet without high-quality example data, many technology groups stumble on avoidable problems.  Organizations need a solution to protect pri...

Applications write data to persistent storage like a database.  The most popular database query language is SQL which has many similar dialects.  SQL is expressive and powerful for describing what data you want.  What you do with that data requires a solution in the form of a data pipeline.  Ideally, these analytical workflows can follow The post DBT: Data Build Tool with Tristan Handy appeared fi...

Tedious, repetitive tasks are better handled by machines.  Unless these tasks truly require human intelligence, repetitive tasks are often good candidates for automation.  Implementing process automation can be challenging and technical.  Increasingly, engineers are seeking out tools and platforms to facilitate faster, more reliable automation. In this episode I talk to Yaseer Sheriff, Co-Founder...

A developer’s core deliverables are individual commits and the pull requests they aggregate into. While the number of lines of code written alone may not be very informative, in total, the code and metadata about the code found in tracking systems present a rich dataset with great promise for analysis and productivity optimization insights. LinearB The post LinearB with Dan Lines appeared first on...

Modern companies leverage dozens or even hundreds of software solutions to solve specific needs of the business.  Organizations need to collect all these disparate data sources into a data warehouse in order to add value.  The raw data typically needs transformation before it can be analyzed.  In many cases, companies develop homegrown solutions, thus reinventing The post Modern Data Stacks Optimi...

Instabase is a technology platform for building automation solutions. Users deploy it onto their own infrastructure and can leverage the tools offered by the platform to build complex workflows for handling tasks like income verification and claims processing. In this episode we interview Anant Bhardwaj, founder of Instabase. He describes Instabase as an operating system.  The post Instabase with...

Time series data are simply measurements or events that are tracked, monitored, downsampled, and aggregated over time. This could be server metrics, application performance monitoring, network data, sensor data, events, clicks, trades in a market, and many other types of analytics data (influxdata.com). The platform InfluxData is designed for building and operating time series applications. The po...

Whether sending messages, shopping in an app, or watching videos, modern consumers expect information and responsiveness to be near-instant in their apps and devices. From a developer’s perspective, this means clean code and a fast database.  Apache Druid is a database built to power real-time analytic workloads for event-driven data, like user-facing applications, streaming, and The post Druid: E...