Proactively identify potential risks and optimize your migration process. Join a team of #cloudmigration experts from Atlassian to explore the pivotal first step of any migration project: evaluating your on-premises data landscape: https://ow.ly/Z4wC50S0S3e
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Last chance to register! Proactively identify potential risks and optimize your migration process. Join a team of #cloudmigration experts from Atlassian to explore the pivotal first step of any migration project: evaluating your on-premises data landscape: https://ow.ly/Z4wC50S0S3e
From On-Prem to On-Cloud: de-risk and accelerate your migration
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The journey of creating a data platform from scratch was both demanding and gratifying. By embracing agile practices, leveraging AWS's potential, and committing to continuous learning and adaptation, we successfully built a centralized data platform. This platform now serves as a crucial asset, enabling our e-commerce company to harness data-driven insights, thus fueling informed decision-making and contributing significantly to our growth and success. #datalake #datawarehouse #agile #aws
Creating a Centralized Data Platform: Lessons from a Year-Long Agile and AWS Journey
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Let's focus on fixing the IT processes in enterprise companies that develop core business software. The great news is that with the advent of cloud providers, physical data center capacity problems have been eliminated, resulting in reduced procurement times. The DevOps methodology promises faster time to market through automation, breaking down silos, and sharing of skills. By re-engineering IT processes to be more scalable, we can fulfill this promise and achieve a quicker time to market. We should consider the total cost of maintaining these processes (Total Cost of Ownership) and the impact of a simple change request that starts from the beginning (an email, a ticket, a request on a portal) and reaches the last automation step. The TCO is the business case driving the adoption of an Internal Developer Platform. #kubernetes #opensource #internaldeveloperportal #platformengineering #finops #composable
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⬇️🧑🎄 Avoid these naughty habits for a smoother and more successful #jira migration experience. → Don't: Underestimate the complexity ↳ Do: Plan and involve stakeholders Allocate sufficient time for migration. Mitigate risks with careful planning and testing. Consider working with solution partners. Identify key stakeholders early and get their buy-in. → Don't: Ignore usability differences ↳ Do: Understand deployment types (Cloud vs. Data Center) Differentiate between Atlassian Cloud and Data Center products. Address usability differences proactively. Understand the benefits and features of each deployment type. → Don't: Skip the cleanup ↳ Do: Clean up old configurations and unnecessary data before migration Utilize tools like Power Admin for Jira to analyze configurations. Double-check access and security settings post-migration. → Don't: Assume automatic user transfers ↳ Do: Understand how usernames change in the cloud and plan accordingly Address users, groups, and membership in the migration plan. Communicate changes and provide support for users. Consider automation apps for data migration like the Configuration Manager Cloud Migration app. → Don't: Ignore post-migration activities ↳ Do: Support end users in adapting to the changes Address any remaining migration errors promptly. Explore additional guidance from solution partners for a smoother post-migration experience. In conclusion, let's kick those naughty #migration habits to the curb and enter the holiday season stress-free! ✨ 🎄 Now tell us — what's your favorite holiday tradition? #AtlassianEOL
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Unified, simplified, hybrid cloud enabler - doing it faster, cheaper, holistically with better outcomes.
Simplified cloud-native journey. 🤝 DEV vs. Infra Would you rather: 1. run two different operational units inside your team, with distinct culture, tools, processes OR 2. bridge capabilities, unify management, blend the best culture elements of each team If the sum is greater than the parts, then how do we build fast, secure, customer centric data and application delivery teams acting in concert with infrastructure operations teams? Enhanced data resilience and consistent data services across #hybridmulticloud and on-prem environments. Learn more about this #NEXTconf announcement.
Nutanix Widens Coverage for Cloud Native Users With Expanded Project Beacon
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In the whirlwind speed of implementing Snowflake as a turnkey solution, how can we ensure that my internal team gets up to speed? Ippon's DataCloud Launch™, offered at a fixed price, integrates training sessions smoothly within our 10-week rollout plan. For further details, click here: https://lnkd.in/emNt9h_f #ippontech #snowflake #datacloudlaunch #migration #datamanagement #businesstransformation
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Hello, Connections! I've just completed #day58 of my #90dayDevOps Challenge journey, and today I explored Grafana. What is Grafana, features of Grafana, Types of Monitoring with Grafana, and more. Let's start What is Grafana? Grafana is an open-source platform used for monitoring, querying, and visualizing metrics from a variety of data sources. It's widely used by DevOps teams and IT professionals to keep an eye on system performance and to understand complex data trends through interactive and customizable dashboards. Features of Grafana Grafana is packed with features that make it a favorite among professionals: Customizable Dashboards: Create interactive and highly customizable dashboards to visualize your data. Alerts: Set up alerts to get notified when certain conditions are met, ensuring you can respond to issues promptly. Plugins: Extend Grafana’s functionality with plugins for various data sources and apps. Annotations: Add context to your graphs by marking specific events. Templating: Use templates to create dynamic and reusable dashboards. Provisioning: Automate the setup and management of Grafana dashboards and data sources. Why Grafana? Grafana is chosen by many organizations for several reasons: Flexibility: It supports a wide range of data sources, allowing you to integrate data from multiple systems. User-Friendly: Its intuitive interface makes it easy to set up and customize dashboards. Community and Support: Being open-source, Grafana has a large community of users and contributors, providing extensive support and resources. Scalability: It can scale from small setups to large enterprise environments. Open Source: While there are enterprise options, the open-source version is powerful and cost-effective for many use cases. Types of Monitoring with Grafana Grafana is versatile in its monitoring capabilities: Infrastructure Monitoring: Track the health and performance of servers, networks, and other infrastructure components. Application Monitoring: Monitor the performance and reliability of applications. Business Metrics: Visualize business KPIs and other operational metrics. Cloud Monitoring: Keep an eye on cloud resources and services. Custom Metrics: Monitor any custom metrics relevant to your organization or specific use cases. Databases Compatible with Grafana Grafana supports numerous data sources, including: Prometheus InfluxDB Elasticsearch Graphite MySQL PostgreSQL Azure Monitor Google Cloud Monitoring AWS CloudWatch …and many others through plugins. #Grafana #Monitoring #DevOps
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Join this session with Oracle's Logging Analytics Product team, where they'll explore 20 quintessential DevSecOps and CloudOps use cases specifically tailored for experts. https://lnkd.in/e3tRVfeB
Day One and Beyond
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Join this session with Oracle's Logging Analytics Product team, where they'll explore 20 quintessential DevSecOps and CloudOps use cases specifically tailored for experts. https://lnkd.in/dB_7_HEM
Day One and Beyond
go.oracle.com
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