Meet Apester
New York and Tel Aviv-based Apester helps publishers, advertisers, and businesses tell highly engaging online stories that are mobile friendly, seamlessly integrated with their sites, and can be distributed at scale. From quizzes and polls to innovative visual stories, Apester helps customers get their message across effectively. The company caters to storytellers of all kinds, from big brands like Meredith, BBC Worldwide, and Virgin to individual bloggers. Since its launch in 2014, Apester's comprehensive creation tools have attracted approximately 100 million unique users per month.
The Challenge
Apester's existing BI and data warehousing solution was showing strain under rapid growth. The closed system was becoming expensive and limited analytics capabilities. With user numbers growing and only limited developers, the company needed an easily scalable system that supported open source technology.
The Solution
Apester built a comprehensive Google Cloud solution using Kubernetes Engine as the backbone, Cloud Pub/Sub for messaging, BigQuery for analytics, and Stackdriver for monitoring. The migration moved from virtual machine-based architecture to containerized solutions, unifying infrastructure across teams.
Results
- Tripled customer base while delivering 3.5 billion story experiences in 2017
- Reduced infrastructure costs by 50% through Kubernetes migration
- Cut deployment time from 4 hours to under 1 minute
- Reduced latency by 50% using Google Cloud Network premium tier
- Handles millions of events per hour with BigQuery analytics platform
Infrastructure is not our core business. We want to focus on Apester's needs and improving our application. When the deployment time gets cut from hours to seconds, it means we can focus on our own success.
Or Elimelech, Site Reliability Engineer
What's Next
Apester continues evolving its products using Cloud Natural Language APIs to enhance personalization. Combined with BigQuery data, the company is exploring machine learning capabilities and investing heavily in ML using TensorFlow for its pipeline. This enables Apester to become more responsive to customer needs as its audience expands. The migration solved availability, scalability, and development efficiency challenges, helping keep the company ahead of competition.
See how DoiT helps cloud teams control spend
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
More customer stories
Promptly saves $600K and ships AI in weeks
- $600K
- Annual cloud cost savings
- 3 months
- of engineering time saved
Extenda Retail Cuts SSD Waste, Speeds AI
Wicked Reports Ships GenAI 3 Months Faster
- 3 months saved
- of development time saved using DoiT's Cloud Accelerator
- 25% faster
- prototype-to-production timeline compared to internal estimates
- $0 additional spend
- zero additional infrastructure spend during prototype build thanks to AWS credits and DoiT's optimization
DaySmart
DaySmart Ships AI Capability in 90 Days
- 90 days
- From POC to deployment
- 90 days
- From POC to deployment with zero internal engineering time required
- 6x
- Engineers worth of resource saved
Vivaticket cuts AWS environment setup from 3 days to 15 minutes
- 15min
- Environment creation time
- 15min
- Environment creation time (vs 3 days before)
- 20min
- Application deployment in immutable mode
Blumira scales SOC Auto-Focus with cost control
Luxury Escapes Saves $10K+ on AWS
Promptly saves $600K and ships AI in weeks
- $600K
- Annual cloud cost savings
- 3 months
- of engineering time saved
Extenda Retail Cuts SSD Waste, Speeds AI
Wicked Reports Ships GenAI 3 Months Faster
- 3 months saved
- of development time saved using DoiT's Cloud Accelerator
- 25% faster
- prototype-to-production timeline compared to internal estimates
- $0 additional spend
- zero additional infrastructure spend during prototype build thanks to AWS credits and DoiT's optimization
DaySmart
DaySmart Ships AI Capability in 90 Days
- 90 days
- From POC to deployment
- 90 days
- From POC to deployment with zero internal engineering time required
- 6x
- Engineers worth of resource saved
Vivaticket cuts AWS environment setup from 3 days to 15 minutes
- 15min
- Environment creation time
- 15min
- Environment creation time (vs 3 days before)
- 20min
- Application deployment in immutable mode
Blumira scales SOC Auto-Focus with cost control
What they say
What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.
Chiamaka Ibeme, Engineering Manager, Platform
SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.
Douglas Zickuhr, Senior Data Platform Engineer at Personio
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.
Devin McGee, Data Engineering Lead at Home Chef
SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform
Blake Baggett, Head of Data Operations at Entain
One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.
Michael Revelo, Manager of data and analytics engineering at ClickUp
Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.
Skyler Chi, SVP, GTM Productivity & Excellence at Exiger
Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
Edward Mancey, GTM Lead at Synthesia
DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.
Dr. Anish Kapur, Founder & CEO, Promptly
DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.
Alexander Lundberg Santos, Platform Engineer at Extenda Retail
When we started working with DoiT, we deployed Flexsave to save time and reduce complexity. We still use it today. But what really stands out is the expert support. Having someone to collaborate with on deep cloud cost topics, someone who really understands the nuances, is incredibly valuable.
Jesper Terkelsen, CTO at Monta
DoiT's Cloud Accelerator turned our AI idea into a shipped product, saving at least three months of development and delivering reliable, explainable insights our customers trust.
Scott Desgrosseilliers, CEO and co-founder, Wicked Reports
Your cloud bill shouldn't be a mystery
Let us show you what ships this week.