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Sprkl

Sprkl Personal Observability provides devs with actionable insights about how their own code changes execute and interact with the existing codebase and system components, right in their IDE. Code-level traces, errors, hidden API calls, DB queries, memory usage and other unique insights are revealed. With Sprkl, devs effortlessly get the feedback they need to write production ready code, while dramatically cutting down the time it takes to debug and troubleshoot. The company was founded in 2021 and is based in Tel Aviv, Israel.

Sprkl is a Personal Observability platform designed to help developers write production-ready code more efficiently. The company's technology focuses on instrumenting code changes and analyzing them upon execution, providing immediate feedback to developers directly in their Integrated Development Environment (IDE). Sprkl's platform is powered by OpenTelemetry and offers features such as code-level traces, insights about hidden API calls, database queries, memory bottlenecks, diff coverage, and exception detection.

How Sprkl uses Sprkl to fix a REST API error

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Tools that streamline software development

DevOps Toolchain

Sprkl is a Personal Observability platform designed to help developers write production-ready code more efficiently. The company's technology focuses on instrumenting code changes and analyzing them upon execution, providing immediate feedback to developers directly in their Integrated Development Environment (IDE). Sprkl's platform is powered by OpenTelemetry and offers features such as code-level traces, insights about hidden API calls, database queries, memory bottlenecks, diff coverage, and exception detection.
The platform's core functionality includes automatic instrumentation of code changes, rather than entire codebases, which allows developers to focus on specific parts of their code without affecting staging or production environments. Sprkl's intelligent instrumentation engine leverages OpenTelemetry to apply instrumentation automatically, adding a layer to the code that runs only on the local machine without altering the code's functionality.
Sprkl is available as a Visual Studio Code extension, a web application based on Grafana and Jaeger, and a GitHub App for CI/CD integration. The platform supports Node.js version 16.10 and up, with partial support for Java, C#, and Python via Kubernetes setup. Sprkl also offers Jest testing instrumentation for unit and integration tests, providing insights and traces for test executions.
The company has developed the Sprkl Operator, an improvement on the OpenTelemetry Operator, which applies automatic library and infrastructure-level instrumentation. This integration enables cluster-level distributed tracing with personalization for Node.js services. Sprkl's technology aims to streamline the debugging process, reducing the need for manual data collection, log analysis, and the use of breakpoints.

Sonar is a suite of software quality assurance tools designed to help developers produce clean, secure, and reliable code. The company's flagship product, SonarQube, is an open-source platform for continuous code quality inspection. It performs automated code reviews using static analysis to detect bugs, code smells, and security vulnerabilities across more than 30 programming languages. SonarQube integrates into the development workflow, providing real-time feedback during code reviews and enforcing quality gates to ensure only code meeting predefined standards moves forward in the pipeline.
In addition to SonarQube, Sonar offers SonarCloud, a cloud-based version of the platform, and SonarLint, an IDE extension that provides immediate feedback to developers as they write code. These tools work together to support Sonar's "Clean as You Code" methodology, which aims to maintain high code quality standards throughout the development process. Sonar's solutions go beyond simple error detection, addressing deeper issues that may be overlooked by both human reviewers and AI coding assistants. The platform offers features such as code coverage analysis, duplication detection, and maintainability metrics to provide a comprehensive view of code health.

Sonar Source

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 Asana is a cloud-based work management platform that helps teams organize, track, and manage their work. Founded in 2009, Asana provides tools for project and task management, collaboration, and workflow optimization. The platform allows users to create projects, assign tasks, set deadlines, share files, and communicate with team members in real-time. Asana's interface offers multiple views including lists, boards, calendars, and timelines to visualize work in different formats.
 
 
 
 
 Key features of Asana include customizable workflows, automation capabilities, reporting dashboards, and goal tracking. The platform aims to reduce &quot;work about work&quot; - time spent on work coordination rather than core job functions. As of March 2023, Asana reported that knowledge workers were spending 58% of their day on work coordination tasks. To address this, Asana provides tools to streamline processes, automate routine tasks, and improve cross-functional collaboration.
 
 
 
 
 Asana offers both free and paid subscription plans. The free Basic plan includes unlimited tasks, projects, messages and file storage for up to 15 team members. Paid plans start at USD 10.99 per user per month (billed annually) and offer additional features like advanced reporting, custom fields, forms, and admin controls. Asana can be accessed via web browser or mobile apps for iOS and Android.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 Asana serves over 135,000 paying customers and millions of free users across more than 200 countries and territories. Notable enterprise customers include Amazon, Affirm, Japan Airlines, and Sky.
 
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Asana

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 GitLab is an open-source DevOps platform that provides tools for managing the entire software development lifecycle. Founded in 2011, GitLab offers a Git-based repository management system along with integrated features for continuous integration/continuous delivery (CI/CD), project management, security scanning, and more. The platform allows developers to collaborate on code, track issues, and deploy applications from a single interface. GitLab's core product is a web-based Git repository manager that includes features like issue tracking, analytics, and a wiki. With each commit or push, GitLab enables developers to trigger builds, run automated tests, and deploy code.
 
 
 
 
 GitLab differentiates itself by offering a complete DevOps solution out-of-the-box, with built-in CI/CD capabilities, whereas competitors often require third-party integrations for similar functionality. The platform supports multiple stable branches beyond the master branch, advocating for a workflow that emphasizes reliability over speed. GitLab provides tools for the entire DevOps lifecycle, from planning to monitoring, allowing teams to manage all stages of software development within a single application. As of October 2022, GitLab reported quarterly revenue of USD 113 million with 69% year-over-year growth.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 GitLab has gained traction among enterprise customers, with notable users including Goldman Sachs, T-Mobile, and Lockheed Martin. The platform is particularly popular in China, where a 2021 JetBrains survey found that 57% of respondents used GitLab for artifact/repository management, compared to 35% for GitHub. In March 2021, GitLab created a local Chinese company called JiHu to expand its presence in the country. GitLab has also formed partnerships to enhance its offerings, including integrations with platforms like Asana, Jira, Microsoft Teams, Slack, and Gmail. The company's focus on open-source has led to partnerships within that community, offering free enterprise plan features and up to 50,000 CI minutes for organizations or smaller teams working on open-source software.
 
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GitLab

CloudBees provides a software delivery platform for enterprises, enabling them to continuously innovate and deliver software at scale. Founded in 2010, CloudBees offers a suite of products that automate and streamline the entire software development lifecycle, from continuous integration and continuous delivery (CI/CD) to release orchestration and feature management. At the core of CloudBees' offerings is CloudBees CI, built on Jenkins, the widely-used open-source automation server. CloudBees CI provides flexible, governed CI/CD capabilities for enterprises.
The company's product portfolio also includes CloudBees CD for release orchestration and automation, CloudBees Feature Management for progressive delivery and feature flagging, and CloudBees Software Delivery Automation (SDA) which combines CI, CD, release orchestration and feature management into an integrated platform. CloudBees SDA aims to connect tools and functions across development, operations and shared services teams to optimize the software delivery process. In September 2022, CloudBees acquired ReleaseIQ to expand its DevSecOps capabilities with a low-code release orchestration and visibility solution.
CloudBees' platform is designed to address the needs of modern software development organizations adopting CI/CD and DevOps practices. It provides capabilities for unified governance, visibility, security compliance, and risk mitigation in software delivery. The platform can be deployed on-premise or in major public cloud environments, offering flexibility to support diverse software portfolios including classic, client-server, containerized, web, mobile, IoT and embedded applications.

CloudBees

BigPanda is a company specializing in Artificial Intelligence for IT Operations (AIOps). Founded in 2012 by Assaf Resnick and Elik Eizenberg, BigPanda offers an AI-powered platform that helps IT Operations, Network Operations Center (NOC), and DevOps teams detect, investigate, and resolve IT incidents more efficiently. The company's core product is an Incident Intelligence and Automation Platform that leverages machine learning to correlate alert data streams from various infrastructure, applications, and services into actionable incidents.
BigPanda's platform aims to reduce the noise in IT alerts, improve the signal-to-noise ratio, and automate incident management processes. It integrates with various IT tools and systems, including ticketing systems, ITSM tools, incident response tools, and collaboration platforms. The company's Open Box Machine Learning technology enables customers to achieve high correlation rates on alert volumes, typically reducing millions of IT events to a manageable number. The company claims that its median customer realizes an 80% event noise reduction within the first eight weeks of implementation.
The platform offers features such as alert aggregation, event correlation, root cause analysis, and automated incident triage. It also provides unified analytics dashboards for end-to-end visibility of IT environments. BigPanda's solution is designed to help organizations reduce mean-time-to-resolution (MTTR) of IT incidents, improve service availability, and support digital transformation initiatives. The company operates on a Software-as-a-Service (SaaS) model, eliminating the need for on-premises installations.

BigPanda

Platforms that help companies with software development workflows such as analyzing requirements, planning development schedules, and building roadmaps.

Desktop and web applications for writing code, which also offer features for intelligent auto-complete and code generation capabilities using AI. This segment also include platforms that provide tools for version control and hosting code.

Platforms to automate software deployment into production environments that are hosted either on-premise or on the cloud, along with feature management capabilities that help developers control the availability of features in an application.

Platforms for developers to monitor running software and track processes; helping identify crashes and errors and resolve them.

Platforms to test and debug software, which also feature AI-based tools to automate testing workflows.

Companies that use GenAI as a core part of their product offering for DevOps

Platforms offer AI-based code completion and other tools to help automate testing workflows

Uses generative AI for code completion and generation features offered by certain code editors

Its platforms are available under a B2B SaaS model

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