“Piyush is an excellent team player and great problem solver. I had a chance to work with him as a direct manager at Amdocs. Piyush is fun to work with and easy going. Piyush always used to take lead on customer issues and ensured they are resolved for good. He learned Amdocs billing-payment-collection platform quite fast and even went on to train some of our new hires. Piyush was always willing to help our own team members and tier-2 teams. I recommend Piyush to any team who are in search of a great mentor, problem solver and motivator.”
About
✵ As a Technical Solutions Developer at Google Canada, I specialize in GKE/Anthos and…
Contributions
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Your team needs to store data in the cloud. What's the most efficient way to do it?
In addition to above, efficiently monitoring cloud storage usage is essential for performance and cost control. Use native monitoring services like AWS CloudWatch, Azure Monitor, or GCP Cloud Monitoring to track metrics like capacity, read/write operations, and latency. Set threshold alerts for each metric to receive notifications when specified limits are exceeded. Consider automated scaling and integrating alerts with incident management systems. Use third-party tools to enhance the monitoring process. Regularly review and optimize alerts to ensure they align with evolving requirements. Enable logging and periodically test the alerting system for effectiveness. Budget alerts can help manage storage costs effectively.
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Your team needs to store data in the cloud. What's the most efficient way to do it?
Storage classification is crucial for efficient data management to save cost and cater to diverse storage needs in the cloud. Three main types are object storage: Object storage: Ideal for scalable and unstructured data such as Amazon S3, Azure Blob storage, and GCP Cloud Storage. We use this to store unstructured data, such as text, video, and images. For example, Dropbox was built on top of S3. Block Storage: Ideal for structured database storage, VM file system volumes, and high volumes of read and write loads such as Amazon EBS, GCP Persistent Disks, and Azure Disk. File Storage: Ideal for storing data in a hierarchical structure of files and folders such as Azure Files, AWS EFS, and GCP Filestore.
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Your team needs to store data in the cloud. What's the most efficient way to do it?
Data storage begins with data classification. It categorizes data based on content, sensitivity, and importance. - Structured data is organized, like tables. Unstructured lacks structure, e.g., text or images. Semi-structured, like NoSQL, has some organization. - Criteria include sensitivity levels (restricted, confidential, non-confidential), and adherence to regulations (GDPR, HIPAA). This practice enhances data management and security. It is also crucial to understand the storage needs and purpose, such as frequently accessed data, in-frequent accessed data, regional/zonal storage requirements, and data for short-term archives and long-term archives. This helps effectively manage cost and data access needs.
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What are the key challenges and best practices for scaling containers in the cloud?
One thing I have found most people struggle with when it comes to container management is; applying the best practices. Adopting a container orchestration system such as Kubernetes is one thing but applying best practices, requires a lot of skill and experience. For instance, when you create a deployment, not everyone uses the features such as resource requests and limits, and most of the time it led to the node crash or using excessive resources. Cost optimization also plays an important role when it comes to containers. for instance, if the company is using a local disk for the cluster to attain high performance, it could incur a lot of costs and the throughput could have been easily managed by a balanced persistent disk or an SSD.
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If you're looking to learn more about Generative AI, understand the applications, and create some practical projects, I would definitely recommend…
If you're looking to learn more about Generative AI, understand the applications, and create some practical projects, I would definitely recommend…
Liked by Piyush sachdeva
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Today was Deloitte Canada's National Impact Day—a day dedicated to volunteering, giving back, and making a difference. It's a unique initiative where…
Today was Deloitte Canada's National Impact Day—a day dedicated to volunteering, giving back, and making a difference. It's a unique initiative where…
Liked by Piyush sachdeva
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Finding it hard to get noticed on LinkedIn? I’ve built 15 LinkedIn post templates to make content creation effortless. After 10 hours of…
Finding it hard to get noticed on LinkedIn? I’ve built 15 LinkedIn post templates to make content creation effortless. After 10 hours of…
Liked by Piyush sachdeva
Experience
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Education
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sinhgad institute of business administration and computers application
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Licenses & Certifications
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Certified kubernetes Administrator
CNCF [Cloud Native Computing Foundation]
Issued ExpiresCredential ID LF-i5l6voczru -
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Honors & Awards
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AWS Community Builder 2024
Amazon Web Services
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Hashicorp Ambassador 2024
Hashicorp
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AWS Community Builder 2023
Amazon Web Services
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AWS Community builder: 2nd year
amazon web services
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AWS Community Builder
Amazon Web Services
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Stellar Award - Rising star
Accenture
Awarded with rising star award for outstanding performance in FY14.
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AWS community builder 3rd year
Amazon
Languages
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English
Full professional proficiency
Recommendations received
6 people have recommended Piyush
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Lionel Touati
Calling all IT leaders, developers, and practitioners! Ready to explore the future of data in the age of GenAI? Join Google Cloud for Database Day: Toronto on September 12th! **🔥 Here's what you can expect: ** Two tracks packed with insights: one for IT Leaders & Executives, and another for Developers & Database Practitioners. Expert-led sessions on topics like building GenAI apps with Google Cloud databases, maximizing PostgreSQL ROI, and mastering Cloud SQL. Hands-on labs and demos to level up your skills and connect with peers. Don't miss this chance to build your GenAI future. Register now - spots are filling up fast! #GoogleCloud #DatabaseDays #GenAI #DataInnovation
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Mahesh Agrawal
Want to learn more about how Oracle is helping bring AI to its customers? In this episode Host Karissa Breen sits down with Oracle’s Ashish Ray, vice president, product management, Oracle database and Sunil Wahi, vice president, Fusion Cloud Applications for more perspective into how Oracle is helping its customers to solve business challenges as well as the potential to tap into AI.
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Drashti Patel
🎉 Day 2 of #DevOpsDaysHalifax kept the momentum strong, just like Day 1! Here's a quick rundown: Key talks that sparked ideas: • 🚀 Tim Ludikar’s talk, "Leverage Kubernetes to Supercharge Your Container Builds," showcased how Kubernetes can revolutionize CI/CD pipelines, driving both efficiency and security. • 🔓 In "Unwind: Breaking the Psychology of Cloud Vendor Lock-in," Billy Thompson delved into the psychological aspects of vendor lock-in, offering strategies for adopting a cloud-agnostic approach. • 🔮 Jan de Vries, in his session "What does a future proof organisation look like?", unveiled key elements of resilient organizations by employing Appreciative Inquiry and First Principle Thinking. • 🔍 Budhaditya Bhattacharya’s "Bad API observability: 7 anti-patterns you must avoid" pinpointed common pitfalls in API observability and provided solutions for enhancing the user experience. • 📞 Ken DeSouza’s "On-call doesn't need to suck" offered strategies for making on-call rotations more humane and effective, especially in growing organizations. • 📊 "Efficient Cloud Application Monitoring with Grafana API Integration" by Syed Usman Ahmad introduced advanced Grafana features that enhance cloud application monitoring and visualization. • 🔧 Hart Ripley’s "Unlocking Efficiency with Self-Service Automation" introduced the concept of an Automation Services Layer, designed for flexible, multi-vendor environments. • ⚡ Tianyi Li’s talk, "Build Smarter, Develop Faster," discussed optimizing testing and build processes within CI/CD to boost developer productivity. • 🤖 In "Don't let AI or tools do all work for you," Frank Boucher explored the role of AI in DevOps, emphasizing how to effectively leverage new tools without losing human expertise. The Open Spaces session was a game-changer. I joined the "What the Hell is Happening in the Job Market" discussion, which was both enlightening and reassuring. 🤝 Special thanks to Ivan Kobe and Frank Boucher for their invaluable insights for students and job seekers navigating these challenging times. These two days have been a whirlwind of learning, networking, and growth. The blend of technical knowledge and industry trends has been truly enriching. 📚💡 Frank Boucher's talk on AI in DevOps was my favorite, offering a balanced view of embracing new technologies while maintaining human expertise. A huge shoutout to the organizers of DevOpsDays Halifax 2024! 🙌 Their hard work and dedication made this event unforgettable. And a special mention to Carmen Huidobro for being such an energetic and engaging host today. Your enthusiasm was contagious! Already excited to see what DevOpsDays Halifax 2025 has in store! #DevOpsDaysHalifax #DevOps #TechConference #ContinuousLearning #CloudComputing #Kubernetes #Grafana #JobMarket #Networking #AI
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William W Collins
Technical Director - ML Solutions @ Electronic Arts by via ai-jobs.net ([Global] oracle cloud) URL: https://ift.tt/7PDCsA5 Who We Are Game Production Solutions (GPS) is a new division in Creative Technologies at Electronic Arts. In the GPS group, we build solutions for our customers (Game Teams / Creators). We empower game creators to make an outsized impact with our technology. Your Work With Us We are working on projects related to generative AI and Machine Learning, focused on Generative AI for game assets. The platform we are building is to power Generative AI for game creators across EA. We are using powerful models fine-tuned and adapted for asset creation, where performance, ease of use, and security are priorities. This role reports to the Senior Technical Director. Responsibilities Team Management: Lead a small but dynamic team of ML Platform and Ops Engineers,, and Software Engineers, promoting an atmosphere of innovation and collaboration. Partnerships and Collaboration: Collaborate with Product Managers, Tech Artists, Software Engineers, and DevOps engineers to identify requirements. Solution Architecture: Work with engineers in the team to architect backend services to power our generative AI/ML platform, ensuring performance, scalability, and security. Document technical specifications and system designs for future reference. Technical Decision-making: Use your expertise to arbitrate technical decisions for the engineering team, and articulate/define the WHAT, HOW, and (in partnership with Product Management) WHY for our technology roadmaps. Technical Leadership and Mentorship: Provide technical mentorship and guidance to junior engineers, promoting an environment of learning and improvement. Create and share best practices within the team. Participate in code reviews and provide constructive feedback to team members. Quality & Code Reviews: Review completed engineering deliverables before release, ensuring that they meet our standards of quality and reliability. Risk Management: Identify potential technical risks and manage them, implementing mitigation strategies. Broad Technical Understanding: Develop an understanding of EA’s game technologies, engines, and strategies, ensuring that our development is aligned with EA’s broader goals. Coding and Debugging: You will write clean, well-structured, and maintainable code that follows best practices. You will also troubleshoot and debug issues to ensure smooth functioning of all of the services. Qualifications 3+ years of experience as a People Manager and 8+ years of experience as a Software Engineer, with increasing levels of responsibility. Mentor, coach, and aid in the development of team members. Set clear goals, and deliver them on time / at quality. Negotiate with partners, vendors, and customers (game teams / game creators / Tech Artists / Product.) Experience architecting and coding backend/online services. Experience working with cloud...
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Nir Peleg
Great News: Amazon launched new feature for RDS optimization AWS Compute Optimizer supports rightsizing recommendations for Amazon RDS MySQL and RDS PostgreSQL AWS Compute Optimizer now provides recommendations for Amazon RDS MySQL and RDS PostgreSQL DB instances and storage. AWS Compute Optimizer automatically discovers your Amazon RDS MySQL and RDS PostgreSQL DB instances and analyzes Amazon CloudWatch metrics such as CPU utilization, read and write IOPS, and database connections to generate recommendations. If you enable Amazon RDS Performance Insights on your DB instances, Compute Optimizer will analyze additional metrics such as DBLoad to give you more insights to choose the optimal DB instance configurations. With these metrics, Compute Optimizer delivers idle and rightsizing recommendations to help you optimize your RDS DB instances. #aws #rds #finops #costmanagement *The picture taken from amazon's blog.
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Anna Dziuba
Implementing microservices on AWS offers scalable, cost-effective solutions compared to traditional monolithic applications. Microservices allow independent scaling and updating of services, enhancing flexibility and reducing downtime. AWS supports microservices through a robust suite of services, including EC2 for computing, S3 for data storage, and Lambda for serverless operations, among others. This environment supports various databases and tools that facilitate the development, deployment, and management of microservices, making AWS a strong platform for modern software architectures. For more detailed guidance on microservices implementation on AWS, you can read the full article.
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Rupinder Singh
Join us for our second Generative AI webinar: "Transforming Industries with AI" Discover how GenAI is revolutionizing: • Financial Services • Healthcare • Travel and Hospitality What to expect: • Live demos of industry-specific use cases • Insights on AI's game-changing impact • Real customer case studies Special Guest: Iran Reyes Fleitas, VP and Global Head of Engineering at .Monks Iran will share: • How AI has transformed .Monks' business • How .Monks leverage AI to offer new/ improved value offerings to their customers • Share his experience with some customer case studies Don't miss this opportunity to stay ahead in the AI revolution. Register now #GenerativeAI #AIInnovation #TechTrends #IndustryTransformation
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William W Collins
Technical Services Engineer (Lucene/Solr/Search expert) @ MongoDB by via all AI news ([Global] oracle cloud) URL: https://ift.tt/vqRgUX5 The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. The Technical Services team works with our customers to ensure that their MongoDB deployments are running at their best. From a query performance question on a test Atlas cluster to helping upgrade large self-hosted sharded clusters run by some of the world's best-known global enterprises, the Technical Services team is available 24/7 to help our customers with any aspect of the MongoDB data platform. This deeply technical team is distributed globally, with a variety of backgrounds and expertise to ensure that they can best address any new issue or question. In addition to solving these complex customer challenges, the team also works on internal projects such as software development of support tools for performance tuning, benchmarking, and diagnostics. As MongoDB continues to expand product offerings and features within the MongoDB Atlas Data Platform, MongoDB is looking for a Technical Services Engineer with a background in application search, as well as search-related technologies, who will also provide specialized support for our Atlas Search and Vector Search products. Job Description As a Technical Services Engineer, you’ll be advising customers on strategies and documented practices for making best use of our data platform. This will require you to translate technical concepts and patterns into generalist’s terms for our customers, helping them understand, install, and use those applications effectively. You’ll also troubleshoot application problems and be an advocate for our users’ needs, collaborating with the MongoDB product management and development teams on their behalf. As a Technical Expert in all-things-search, you will be advising MongoDB field teams on Atlas Search and Vector Search issues, and helping with technical enablement in those areas. You will utilize your exceptional analytical skills and customer service to ensure that MongoDB users are successful with our suite of MongoDB application-layer products. We’re looking for individuals who want to dig into the details of how “big data” and “web-scale” systems are successfully assembled and operated every day by organizations of every size and flavor. As an ideal candidate, you will have We consider ...
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Konath Sabarinath
API Gateway + Kubernetes 🤝. Kong Inc. Champion and Chief Integration Evangelist / Chief Architect at OPITZ CONSULTING Deutschland GmbH, Sven Bernhardt on how to secure APIs with plugins in your Kubernetes management. Full blog + video here covering: - 🛠️ Installing Kong Ingress Controller - 🔐 Securing APIs with plugins - 📡 Exposing Kubernetes services as APIs, securing APIs with plugins (authentication, rate-limiting) - 🌐 Using the Gateway API for HTTP/TCP routing - 📊Observing analytics - all managed via the centralized Kong Konnect control plane. #KongPin #Kubernetes #Ingress #K8s #LearnToCode
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Paolo Maggi
Learn how Air Canada has gained scalability and reliability while optimizing costs by migrating its on-premises VDI to Amazon Web Services (AWS) using Amazon AppStream 2.0 #euc #vdi #remotedesktop #daas #appstream #amazonappstream https://lnkd.in/dn7kGb-C
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Aharon Twizer
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David Kunz
AWS Control Tower is now available in AWS Canada West (Calgary) Region. Customers with disaster recovery and data residency requirements in Canada, or who simply want close proximity to their data, can now utilize both AWS Canada West (Calgary) and AWS Canada (Central) Regions. To learn more about this launch, where Control Tower is available, and how to govern workloads with new regions see this recent What's New post: https://lnkd.in/gpDk3gwu
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Patrick Collins
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Jonathan Wilcox
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Asanká Botheju
Amazon DynamoDB now supports ABAC (Attribute Based Access Controls) Amazon DynamoDB now supports Attribute-Based Access Control (ABAC) for tables and indexes. ABAC is an authorization strategy that defines access permissions based on tags attached to users, roles, and AWS resources. With ABAC, you can now use your tags to configure access permissions and policies. Tag-based access conditions can be used to allow or deny specific actions, when AWS Identity and Access Management (IAM) principals’ tags match the tags on an Amazon DynamoDB table. With the flexibility of using tag-based conditions, you can now set more granular access permissions based on your organizational structures. ABAC allows you to scale your tag-based permissions to new employees and changing resource structures, without rewriting policies as organizations grow. #dynamoredb #ABAC
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