Developers and DevOps teams all rely on effective observability to quickly find and fix issues impacting the performance of their distributed database clusters. Given the wide sea of observability, spanning metrics, logs and traces, you can easily get lost in data. With so much information available, what do you need to monitor first? How can you best use the available metrics to diagnose and fix issues that emerge?
Join this webinar to learn how observability best practices apply to distributed databases and see how they are put into practice on a sample application. You’ll get both the DBA and developer perspective on diagnosing and fixing subpar database performance in a Twitter-like app using ScyllaDB Monitoring Stack.
3. Today’s Presenters
Raouf Chebri Developer Advocate at ScyllaDB
Raouf Chebri loves to create content that helps developers
be more productive. He started his career as a Software
Engineer and worked as an Evangelist.
Speaker Photo
Felipe Mendes Solution Architect at ScyllaDB
Felipe Mendes is an IT Specialist with years of experience with Linux
and other distributed systems. Felipe has a vast experience
deploying workloads across a variety of different computing
architectures, including Mainframes.
5. + Infoworld 2020 Technology of the Year!
+ Founded by designers of KVM Hypervisor
The Database Built for Gamechangers
5
“ScyllaDB stands apart...It’s the rare product
that exceeds my expectations.”
– Martin Heller, InfoWorld contributing editor and reviewer
“For 99.9% of applications, ScyllaDB delivers all the
power a customer will ever need, on workloads that other
databases can’t touch – and at a fraction of the cost of
an in-memory solution.”
– Adrian Bridgewater, Forbes senior contributor
+ Resolves challenges of legacy NoSQL databases
+ >5x higher throughput
+ >20x lower latency
+ >75% TCO savings
+ DBaaS/Cloud, Enterprise and Open Source solutions
+ Proven globally at scale
6. 6
+400 Gamechangers Leverage ScyllaDB
Seamless experiences
across content + devices
Fast computation of flight
pricing
Corporate fleet
management
Real-time analytics
2,000,000 SKU -commerce
management
Real-time location tracking
for friends/family
Video recommendation
management
IoT for industrial
machines
Synchronize browser
properties for millions
Threat intelligence service
using JanusGraph
Real time fraud detection
across 6M transactions/day
Uber scale, mission critical
chat & messaging app
Network security threat
detection
Power ~50M X1 DVRs with
billions of reqs/day
Precision healthcare via
Edison AI
Inventory hub for retail
operations
Property listings and
updates
Unified ML feature store
across the business
Cryptocurrency exchange
app
Geography-based
recommendations
Distributed storage for
distributed ledger tech
Global operations- Avon,
Body Shop + more
Predictable performance for
on sale surges
GPS-based exercise
tracking
7. Agenda
■ Part 1: Show me the code (and app)
■ Part 2: ScyllaDB core concepts
■ Part 3: ScyllaDB Monitoring
■ Part 4: Best practices