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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

splunk

Deployment Frequency (DF) Explained

Nov 17, 2023 By Blessing Onyegbula In Splunk
Technical teams use various metrics and indicators to track performance and success. For DevOps teams, among the most important metrics is deployment frequency. Deployment frequency can help you evaluate the software delivery performance of teams that develop software and apps. In this article, I’ll look at using this metric to calculate deployment rate, the importance and best practices for improving your deployment rate and setting your DevOps team up for success.
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Strengthen operational resilience with Service Chain Mapping. Watch our 60 second overview.

Nov 17, 2023 By Interlink In Interlink
Watch this short video to learn how Interlink’s Service Chain Mapping solution transforms the ability of banking and finance organizations to address regulatory demands, manage operational risk, and avoid technology failures that could disrupt key customer journeys.
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Moving MongoDB Workloads to Postgres with FerretDB with Peter Farkas - Navigate Europe 23

Nov 17, 2023 By Civo In Civo
Discover the future of database migration as Peter Farkas, CEO of FerretDB, unveils how FerretDB can help you transition MongoDB workloads to Postgres seamlessly. Learn about MongoDB's proprietary status, licensing issues, and why FerretDB is the open-source solution you need.
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Optimizing your Kubernetes Costs with Finout - Insights from KubeCon NA 23 - Civo TV

Nov 17, 2023 By Civo In Civo
Welcome to Civo TV! In this video, Roi Ravhon, CEO of Finout, goes into the complex world of Kubernetes cost management. Get tips on how to bridge the gap between what you pay for cloud services (AWS, GCP, Azure) and the actual Kubernetes usage costs.
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ML for software engineers ft. Gideon Mendels of Comet ML

Nov 17, 2023 By CircleCI In CircleCI
In this episode, Rob explores the fascinating crossroads of machine learning and software engineering with Gideon Mendels, the co-founder and CEO of Comet ML. Gideon navigates the often ambiguous world of training ML models, focusing on building a common language between software engineers and data science teams. Gain valuable insights into fostering mutual understanding between these two disciplines and aligning the possibilities of ML with organizational needs in this thought-provoking episode.
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kosli

How to automate Snyk container scanning of your production environments

Nov 17, 2023 By Faye Walker In Kosli

If you’re using containers to deploy your software, it is important to be aware of potential vulnerabilities within your container images. These may be introduced through dependencies in your built image, or perhaps through dependencies within the base image(s) used to build your image.

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smikar

The Limitations of Microsoft Teams

Nov 17, 2023 By Mark In SmiKar Software

Microsoft Teams has emerged as a cornerstone of modern workplace collaboration, offering a suite of tools designed to streamline communication and project management. Despite its widespread adoption, it’s crucial to acknowledge that no platform is without its limitations. Understanding these constraints is essential for organizations to navigate potential roadblocks effectively and make informed decisions about their communication infrastructure.

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orchestral ai

Orchestration as a Data Management Challenge-Part 2

Nov 16, 2023 By Orchestral.ai In Orchestral.ai
In Part 1 of this blog series, I proposed that closed-loop orchestration (CLO) is a data management problem. Data extends beyond your medical history, social media, and other PII in the digital world. Configurations, inventories, and monitoring systems are based on managing, interpreting, and actioning data. CLO is a workflow about manipulating the data around the target environments. Even the policies and constraints need to be expressed as data.
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bigpanda

Unleash the potential of intelligent, context-aware automation with BigPanda and Ansible

Nov 16, 2023 By Adam Blau In BigPanda

Many ITOps organizations we speak with want a state of self-healing systems capable of identifying and resolving issues without human intervention. Thanks to the progress in AI and ML, AIOps has made significant advancements in areas that automate many of the steps involved with identifying and triaging incidents. We ask ITOps leaders why they aren’t taking the next step with auto-remediating incident response workflows.

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