tylertreat

9 ms·

61.
by tylertreat 8y ago
My experience with graph DBs: schemas usually become implicit and ad hoc, minimal tooling support and even less mature tooling, difficult to explore and understand your data, performance is often poor, memory usage can be problematic beca
62.
The Observability Pipeline(bravenewgeek.com)
1 points by tylertreat 8y ago|0 comments
63.
Multi-Cloud Is a Trap(bravenewgeek.com)
56 points by tylertreat 8y ago|36 comments
64.
NATS Gets Kafka-Like Log API via Liftbridge(infoq.com)
1 points by tylertreat 8y ago|0 comments
65.
GCP and AWS: What’s the Difference?(bravenewgeek.com)
1 points by tylertreat 8y ago|0 comments
66.
Show HN: Liftbridge – lightweight, fault-tolerant message streams(github.com)
6 points by tylertreat 8y ago|0 comments
67.
by tylertreat 8y ago
There are several things wrong with this IMO. First, branching/PRs are not automatically process-heavy. If it is for your company, there's probably something else wrong. Second, this process—if done right—dramatically INCREASES co
68.
The Future of Kubernetes Is Serverless(thenewstack.io)
2 points by tylertreat 8y ago|0 comments
69.
Scaling DevOps and the Revival of Operations(bravenewgeek.com)
1 points by tylertreat 9y ago|0 comments
70.
Building Minimal Docker Containers for Python Applications(blog.realkinetic.com)
4 points by tylertreat 9y ago|0 comments
71.
Heron Donated to Apache Software Foundation(blog.twitter.com)
28 points by tylertreat 9y ago|10 comments
72.
HTTP to HTTPS Using Google Cloud Load Balancer(blog.realkinetic.com)
5 points by tylertreat 9y ago|0 comments
73.
by tylertreat 9y ago
Check out OKRs for tying back longer-term planning into shorter-term deliverables: https://blog.realkinetic.com/okr-process-489891e6b6a8
74.
Why PaaS Is Passé (And Why It's Not)(bravenewgeek.com)
1 points by tylertreat 9y ago|0 comments
75.
Google doesn't necessarily need innovation(medium.com)
6 points by tylertreat 9y ago|0 comments
76.
Stop Wasting Your Beer Money(blog.realkinetic.com)
5 points by tylertreat 9y ago|0 comments
77.
by tylertreat 9y ago
To be fair, part one of the series explains this: > we will focus on what it takes to build something like this using Kafka and NATS Streaming as case studies of sorts—Kafka because of its ubiquity, NATS Streaming because it’s something
78.
Building a Distributed Log from Scratch: Sketching a New System(bravenewgeek.com)
140 points by tylertreat 9y ago|7 comments
79.
Load Testing with Locust(blog.realkinetic.com)
3 points by tylertreat 9y ago|0 comments
80.
Building a Distributed Log from Scratch: Trade-Offs and Lessons Learned(bravenewgeek.com)
3 points by tylertreat 9y ago|0 comments
81.
Building a Distributed Log from Scratch: Scaling Message Delivery(bravenewgeek.com)
130 points by tylertreat 9y ago|1 comments
82.
Implementing request/response using context in Go(oreilly.com)
1 points by tylertreat 9y ago|0 comments
83.
Building a Distributed Log from Scratch, Part 2: Data Replication(bravenewgeek.com)
18 points by tylertreat 9y ago|0 comments
84.
Building a Distributed Log from Scratch, Part 1: Storage Mechanics(bravenewgeek.com)
278 points by tylertreat 9y ago|8 comments
85.
Thrift on Steroids: A Tale of Scale and Abstraction(bravenewgeek.com)
2 points by tylertreat 9y ago|0 comments
86.
Scaling messaging in Go network clients(oreilly.com)
3 points by tylertreat 9y ago|0 comments
87.
Building messaging in Go network clients(oreilly.com)
4 points by tylertreat 9y ago|0 comments
88.
Software Is About Storytelling(bravenewgeek.com)
1 points by tylertreat 9y ago|0 comments
89.
Show HN: Frugal – Thrift on steroids(github.com)
1 points by tylertreat 9y ago|0 comments
90.
Dissecting SQS FIFO Queues(sookocheff.com)
1 points by tylertreat 9y ago|0 comments

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