@notafif.bsky.social
Reposted
New distributed systems protocol write-up!
This write-up dives into the Virtual Consensus in Delos paper and why it makes sense as the default log replication protocol in the era of object storage and hybrid environments.
jack-vanlightly.com/blog/2025/2/...
This write-up dives into the Virtual Consensus in Delos paper and why it makes sense as the default log replication protocol in the era of object storage and hybrid environments.
jack-vanlightly.com/blog/2025/2/...
February 5, 2025 at 3:19 PM
New distributed systems protocol write-up!
This write-up dives into the Virtual Consensus in Delos paper and why it makes sense as the default log replication protocol in the era of object storage and hybrid environments.
jack-vanlightly.com/blog/2025/2/...
This write-up dives into the Virtual Consensus in Delos paper and why it makes sense as the default log replication protocol in the era of object storage and hybrid environments.
jack-vanlightly.com/blog/2025/2/...
Reposted
Regarding Restate and its distributed log, many people talk about Delos but Apache BookKeeper is also highly relevant/similar, so I like to remind people that it also exists! I've written extensively about how BookKeeper works if you're interested:
1\ medium.com/splunk-maas/...
1\ medium.com/splunk-maas/...
Apache BookKeeper Insights Part 1 — External Consensus and Dynamic Membership
Series Introduction
medium.com
January 25, 2025 at 8:28 AM
Regarding Restate and its distributed log, many people talk about Delos but Apache BookKeeper is also highly relevant/similar, so I like to remind people that it also exists! I've written extensively about how BookKeeper works if you're interested:
1\ medium.com/splunk-maas/...
1\ medium.com/splunk-maas/...
Reposted
[new blog post]
Use of Time in Distributed Databases (part 5): Lessons learned
muratbuffalo.blogspot.com/2025/01/use-...
Use of Time in Distributed Databases (part 5): Lessons learned
muratbuffalo.blogspot.com/2025/01/use-...
Use of Time in Distributed Databases (part 5): Lessons learned
This concludes our series on the use of time in distributed databases , where we explored how use of time in distributed systems evolved fro...
muratbuffalo.blogspot.com
January 14, 2025 at 7:07 PM
[new blog post]
Use of Time in Distributed Databases (part 5): Lessons learned
muratbuffalo.blogspot.com/2025/01/use-...
Use of Time in Distributed Databases (part 5): Lessons learned
muratbuffalo.blogspot.com/2025/01/use-...
Reposted
First post of the year! @andypavlo.bsky.social got me thinking about why Confluent didn't build WarpStream.
My conclusion: legacy infrastructure companies are going to have a tough time against cloud native, AI-enabled, post-ZIRP competitors.
My conclusion: legacy infrastructure companies are going to have a tough time against cloud native, AI-enabled, post-ZIRP competitors.
Infrastructure Vendors Are in a Tough Spot
Cloud native, AI-enabled, post-ZIRP companies are the new apex predator.
materializedview.io
January 13, 2025 at 6:45 PM
First post of the year! @andypavlo.bsky.social got me thinking about why Confluent didn't build WarpStream.
My conclusion: legacy infrastructure companies are going to have a tough time against cloud native, AI-enabled, post-ZIRP competitors.
My conclusion: legacy infrastructure companies are going to have a tough time against cloud native, AI-enabled, post-ZIRP competitors.
Reposted
My 8000-word note on agents: huyenchip.com//2025/01/07/...
1. An AI-powered agent's capability is determined by its tools and its planning ability
2. How to select the best tools for your agent
3. How to augment a model’s planning capability
4. Agent’s failure modes
Feedback is much appreciated!
1. An AI-powered agent's capability is determined by its tools and its planning ability
2. How to select the best tools for your agent
3. How to augment a model’s planning capability
4. Agent’s failure modes
Feedback is much appreciated!
Agents
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines ...
huyenchip.com
January 7, 2025 at 6:28 PM
My 8000-word note on agents: huyenchip.com//2025/01/07/...
1. An AI-powered agent's capability is determined by its tools and its planning ability
2. How to select the best tools for your agent
3. How to augment a model’s planning capability
4. Agent’s failure modes
Feedback is much appreciated!
1. An AI-powered agent's capability is determined by its tools and its planning ability
2. How to select the best tools for your agent
3. How to augment a model’s planning capability
4. Agent’s failure modes
Feedback is much appreciated!
Reposted
I’ve worked on performance engineering for ~13 years. Queuing theory has been my go-to framework the entire time -- thinking in terms of arrivals, departures, queues, servers, service rates, latencies, waiting times, and priorities. It’s simple to apply and doesn’t require diving into the math.
January 3, 2025 at 12:20 AM
I’ve worked on performance engineering for ~13 years. Queuing theory has been my go-to framework the entire time -- thinking in terms of arrivals, departures, queues, servers, service rates, latencies, waiting times, and priorities. It’s simple to apply and doesn’t require diving into the math.