Vedang Kanade

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Vedang Kanade

Vedang Kanade

@VedangKanade

22 | Full Stack Dev | Mumbai, 🇮🇳

Mumbai Katılım Mayıs 2020
135 Takip Edilen90 Takipçiler
Piyush
Piyush@__Piyushrathore·
Changes thermal paste today , literally boosted a lot of performance, thanks @CORSAIR (used tm30)
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tanish
tanish@tanishxdev·
@ThakurAbhay342 i started with mern now i mean learning java eco! am i in right dirn?
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Abhay Singh
Abhay Singh@ThakurAbhay342·
If i would ever get a chance to go back in time and give a advice to college time ME I would say, Learn JAVA. No matter hows the market, this skill will always land you a good job ✅.
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Vedang Kanade
Vedang Kanade@VedangKanade·
@ThakurAbhay342 Nicee, saw your profile how did you manage to crack us based opportunities, would be wonderful if u shared a thread or so(experience from seniors like u, actually help us a lot tho)
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Abhay Singh
Abhay Singh@ThakurAbhay342·
Last 30 days for me: 47 OA links 13 Round 1 interviews 3 Round 2s ( aaj bhi ek diya hai ) What actually worked: • Cold email • Resume update as per jd Tools/platforms I used : Jobs24x Remotive UnlistedJobs Wiza/Signalihire for HR emails LetMeApply Disclaimer: All Paid tools
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Nandkishor
Nandkishor@devops_nk·
Kubernetes explanation for newbees 🥬👇 🧺 Pods → One crate = one app unit 🥕 Services → Basket that routes veggies (traffic) correctly 🥔 Deployments → Stack of identical potatoes (replicas) 🌾 Volumes → Big sacks for persistent storage 👩‍🦰 Node 1 | 👩‍🦰 Node 2 Customers don’t care which node you’re on. They just want fresh veggies → Service handles it. This is Kubernetes: • Abstracts the infrastructure • Distributes the load • Keeps things running • Scales when demand increases Docs teach theory. Memes make it stick 😄
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Nandkishor
Nandkishor@devops_nk·
Minimum requirement to get a DevOps job in 2026.
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Piyush
Piyush@__Piyushrathore·
your buddy is a verified now , what will be the stats , and how much will i grow
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Vedang Kanade
Vedang Kanade@VedangKanade·
Reached this mark after a long long time I really need some advises and tips on solving problems faster!! (I am solving it on tuf+ as well so maybe that’s another reason) #datastructures #dsa #LeetCode
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Piyush
Piyush@__Piyushrathore·
Learning dsa follow these
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Chioma Amadi
Chioma Amadi@Chioma__Amadi·
If you’re hunting for a remote job, you just need to figure out how Reddit works, and you’ll never be unemployed for a long time. Here’s a list of subreddits you should bookmark right now:
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Vedang Kanade
Vedang Kanade@VedangKanade·
The audacity of @LeetCode to ask “Seen this question in a real interview before?” And at the same time “which companies asked this” is a PREMIUM FEATURE!!💀
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eternal classic
eternal classic@eternalclassic_·
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Lucas Jin
Lucas Jin@lucashjin·
we just built git for video editing.
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Piyush
Piyush@__Piyushrathore·
Setup upgraded guys 🥳🥳
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Piyush
Piyush@__Piyushrathore·
Guys got my first stipend of 20000 today and now my account has 919.52 rupees.🥲
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Vedang Kanade
Vedang Kanade@VedangKanade·
“Ha bhai Bohot Sikhne milta hai, startup’s mai job karneka” Meanwhile me banging my head on the table every second
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Kshitij Nangare
Kshitij Nangare@kshitijnangare·
aur karlo vibe coding. Login wale route ko unauthorized bataray🤡😭 #VibeCoding
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Abhishek Singh
Abhishek Singh@0xlelouch_·
As a developer, Please pat yourself if you are able to explain 3 from below terms : Indexing Clustering Denormalization Normalization Read replicas Leader–Follower replication Multi-leader replication Quorum Consensus CAP theorem BASE ACID Eventual consistency Strong consistency Snapshot isolation MVCC (Multi-Version Concurrency Control) Two-phase commit (2PC) Three-phase commit (3PC) Write-ahead logging (WAL) Checkpointing Compaction Rebalancing Resharding Data locality Hot partition Split-brain Failover High availability (HA) Horizontal scaling Vertical scaling Load balancing Connection pooling Caching Materialized views Backpressure Circuit breaker Throttling Rate limiting CDC (Change Data Capture) Idempotency Exactly-once semantics
SumitM@SumitM_X

As a developer, Please Slap yourself if you are unable to explain even 10 from below terms : Indexing Clustering Denormalization Normalization Read replicas Leader–Follower replication Multi-leader replication Quorum Consensus CAP theorem BASE ACID Eventual consistency Strong consistency Snapshot isolation MVCC (Multi-Version Concurrency Control) Two-phase commit (2PC) Three-phase commit (3PC) Write-ahead logging (WAL) Checkpointing Compaction Rebalancing Resharding Data locality Hot partition Split-brain Failover High availability (HA) Horizontal scaling Vertical scaling Load balancing Connection pooling Caching Materialized views Secondary indexes Composite index Covering index Bloom filter LSM tree B-tree Query planner Cost-based optimizer Deadlock Lock escalation Optimistic locking Pessimistic locking Dirty read Phantom read Read skew Write skew Data skew Backpressure Circuit breaker Throttling Rate limiting CDC (Change Data Capture) Logical replication Physical replication Geo-replication Federation Data lake Data warehouse Columnar storage Row-based storage Time-series partitioning Hash partitioning Range partitioning Consistent hashing Data migration Schema evolution Schema registry Idempotency Exactly-once semantics

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