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PerfectScale raises $7.1 million for its Kubernetes optimization platform
PerfectScale, a company specializing in Kubernetes (K8s) Optimization and Automation solutions, has recently reported a successful Seed funding round of $7.1 million, spearheaded by Blumberg Capital. This funding also saw UpWest, Prelude Ventures, K2 Access Fund, Inner Loop Capital, Triangle Tweener Fund, and Firestreak Ventures contributions. With this, the firm's total capital raised has approached nearly $10 million since its establishment in March 2022.
https://www.calcalistech.com/ctechnews/article/ryrfsmtla
Why are Cloud Development Environments Spiking in Popularity, Now?
"The Pragmatic Engineer" newsletter discusses the rise in popularity of Cloud Development Environments (CDEs) in the tech industry. These environments, which allow developers to code in the cloud rather than on local machines, have roots dating back to the 1960s when users shared a central computer. The shift towards CDEs can be attributed to various reasons, including growing codebases, the surge of monorepos, the plateauing of laptop compute power, cloud computing advancements, the affordability of low-latency networking, a focus on developer productivity, the emergence of remote work due to the Covid-19 pandemic, concerns over code leaks, and the open-sourcing of the VS Code Server by Microsoft in 2021.
The latter part of the article highlights the numerous startups entering the CDE space, like Gitpod, Stackblitz, DevZero, and Crafting, among others. With CDE product launches accelerating since 2021, the article suggests that in the near future, more developers at mid to large-sized companies might predominantly use remote environments for development, possibly marking a significant shift in software engineering practices.
https://blog.pragmaticengineer.com/why-are-cloud-development-environments-spiking-in-popularity-now/
Amazon DataZone is now generally available
A new service aimed at facilitating data aggregation, analysis, and curation in a purportedly cost-effective manner. While the service seems to address a niche problem, sceptics wonder about its necessity, especially when many customers might already be managing their data through existing tools. As AWS continues to expand its vast array of services, there's a tongue-in-cheek observation that while such innovations may be "generally available," they aren't necessarily "generally understandable" for everyone, particularly those overwhelmed by their growing AWS expenditures.
https://aws.amazon.com/about-aws/whats-new/2023/10/amazon-datazone-generally-available/
Lambda test events are now available in AWS SAM CLI
Yet again, AWS introduces a feature that many believe should have been there from the beginning. They've now provided the capability to test Lambda functions via SAM CLI, eliminating the previously cumbersome process of manually feeding JSON test events or keeping distinct test scripts. This move might seem groundbreaking in the AWS ecosystem, but it's worth noting that most coding environments already offer such functionalities. Who knows, maybe soon they'll introduce "save" buttons that work right off the bat.
https://aws.amazon.com/about-aws/whats-new/2023/10/lambda-test-events-aws-sam-cli/
Introducing the “Nixpkgs Contributors” Open Collective - Empowering NixOS Growth to contributors!
Optimize Your Observability Spending in 5 Steps
Implementing effective telemetry practices requires more than just using observability agents; it demands robust tools that process telemetry data in-stream, optimizing it for specific downstream requirements. The Mezmo Telemetry Pipelines aim to grant organizations control over their data streams, streamlining the flow between data sources and observability tools. The five recommended steps for telemetry optimization are: 1) Filtering noisy logs to reduce data volume, 2) Routing specific logs to long-term storage, bypassing operational monitoring, 3) Trimming and transforming information-heavy logs to retain only pertinent details, 4) Merging similar log events to reduce redundancy, and 5) Condensing events into metrics for operational insights. Following these steps can lead to a data volume reduction of 50% or more without compromising the quality or integrity of observability data.
https://thenewstack.io/optimize-your-observability-spending-in-5-steps/
Loft Labs Bolsters Virtual Kubernetes Cluster Management at Scale
Adam Jacob Discusses DevOps, Modelling Infrastructure, and Increasing Collaboration
Over 14 years, while DevOps tools have evolved, many foundational processes remain unchanged. The core of DevOps emphasizes enhanced collaboration, but current tools don't always facilitate this. Introducing "digital twins" offers a novel approach to infrastructure management, using models that mirror real-world elements for better visualization and collaboration. This method simplifies importing existing infrastructure compared to traditional infrastructure as code (IaC) tools. However, some professionals are wary due to past experiences with similar modelling techniques. Open-source tools are suggested for experimentation.
https://www.infoq.com/podcasts/adam-jacob-devops-modelling-infrastructure/
SigNoz
OpenTelemetry-Native Traces, Metrics, and Logs in a single pane. SigNoz is an open-source Datadog or New Relic alternative. A single tool for all your observability needs - APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder.
Terramate
Developers waste too much time writing and maintaining infrastructure code. That's why we invented Terramate, an open-source code generator and orchestrator that adds powerful capabilities such as code generation, stacks, orchestration, change detection, data sharing and more to Terraform.
Compared to other tooling, Terramate is not a wrapper for Terraform. Terramate can orchestrate and execute any tool such as Terraform, Infracost, Kubernetes, Checkov and others.
https://github.com/terramate-io/terramate
Introducing Vector Store and Generative AI in MySQL HeatWave
https://blogs.oracle.com/mysql/post/introducing-vector-store-and-generative-ai-in-mysql-heatwave
User Namespaces: Now Supports Running Stateful Pods in Alpha!
https://kubernetes.io/blog/2023/09/13/userns-alpha/
Tumbleweed Gets systemd-boot Support
https://news.opensuse.org/2023/09/29/tw-gets-systemd-boot-support/
Charmed Kubeflow 1.8 Beta is here
https://ubuntu.com//blog/kubeflow-1-8-beta
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