Level up
- Incident detection
- Data security
- Overall performance
Observability Strategy Sprint
Struggling with growing complexity and system overload? 66% of organizations report that every hour of downtime costs more than $150,000 (Splunk, The State of Observability 2023), yet it’s still hard for you to advocate for observability as a strategic, company-wide initiative.
With this sprint, you will determine and quantify your goals in just a couple of weeks.
Cut down
- Resource costs
- Service interruptions
- System bottlenecks
Observability Strategy Sprint
Determine and quantify your goals. Our workshop will show you how Observability immediately recovers your systems and responds to any incident.
Read more
Timeframe
2-3 weeks
Deliverables
The Observability Strategy Roadmap
Based on Productivity, Reliability, and Marketability, includes a report with data capabilities review (bottleneck and improvements), before/after assessments, key initiatives, and business impact forecasts.Proof of Concept
Functional PoC addressing issues or improvements roadmap, including documentation and infrastructure as code with modules and templates.Improved metrics
ROI, Service Level Objectives, Mean Time to Detect, Mean Time to Respond, resource utilization, performance, incident detection, data-driven decision-making, continuous improvement
Get ahead of the competition, as 70% of companies still lag behind observability
Juggling many tools, data sources, and environments without an organized approach, especially on legacy systems, forces you to react to issues as they arise instead of preemptively addressing potential problems. Without an observability strategy, you’ll face delayed incident resolution, and inadequate performance monitoring, not to mention potential security breaches that leak data and interrupt services.
Designed for
Companies that lack centralized processes to enhance operational efficiency.
Leaders requiring actionable system insights proactively identify and resolve issues to achieve infrastructure reliability.
Observability Sprint outcomes
- 01
Custom demo. Business cases and PoC implementations showcase efficiency based on your unique requirements and needs.
- 02
Strategic roadmap and ROI. Observability roadmap highlighting key challenges, improvements, and a projected return on investment.
- 03
Problem-solving change from reactive symptom management to proactive root cause analysis for more effective resolutions.
- 04
Cohesive and coordinated observability across the entire organization via integrated monitoring, logging, and tracing systems
- 05
A centralized observability culture unifies tech and business layers, enhancing communication and collaboration in software development, operations, and product management.
How does it work?
01 Observability health check 1 day
Timeframe
1 dayParticipants
CEO/CTO, VP of Technology, Head of DevOpsOutcome
Report with a measurable review of your data capabilities, critical bottlenecks, and necessary improvements.Steps
- A review of your practices using our Sensible Observability Checklist
- An observability maturity assessment
- A review of your system measurement and analysis process
02 Observability strategy session 1-2 days
Timeframe
1-2 daysParticipants
Head of DevOps, Business Analyst, DevOps EngineersOutcome
1 to 2 weeks after workshops, you’ll receive the Observability strategy roadmap based on productivity, reliability & marketability pillars.Steps
- We connect observability KPIs with business objectives
- Your data gets collected, integrated, and stored
- The team decides on actions to take when out of agreed frames
03 Proof of Concept & feasibility prototyping 1-2 weeks
Timeframe
1-2 weeks, depending on your project’s scaleParticipants
Head of DevOps, Business Analyst, DevOps EngineersSteps
- Creation of full-sized projects from roadmap points
- A presentation of good practices and coding standards
- Work on problems/improvements from the Observability Strategy Roadmap (incl. documentation, infrastructure as a code with modules, and templates)
Deliverables
Proof of Concept
with functional tech implementation relevant to the Observability Strategy roadmapSensible Observability Checklist
Sprint's Creator
Wojciech Wójcik
Head of DevOps
Clients ask him to plan and build systems that stay scalable and cost-effective. Often answers questions to the point and with a smile, making discussions really easy.
2 weeks can have a big impact
Our Saudi partner handles tons of messages & ensures prompt delivery to customers
Improved message handling and autoscaling capabilities mean anomalies are detected and addressed in real time.
Scalability operations run autonomously 24/7/365 with no manual intervention. Custom metrics guide decision-making and resource utilization for cost efficiency
Consider other Sprints
Frequently Asked Questions
01 What previous projects have you completed successfully?
Here are some of our efforts:
- Data lake on AWS will increase the efficiency of your data analysts by 25 percent
- From bottlenecks to seamless communication. Mastering message handling and optimizing resource utilization with real-time observability
- Implementing Active Observability methods for graphical computing saves over $720 per instance per month
02 What are your Observability tools and solutions?
We are proficient (but not limited to):
- Native AWS services (Amazon CloudWatch, CloudTrail, VPC Flow Logs, GuardDuty)
- Native Azure services (Azure Monitor, Log Analytics, Metrics Explorer, Azure Advisor)
- Native GCP services (Google Cloud Monitoring)
- Open-source tools not related to any cloud provider (Prometheus, Alertmanager, Grafana, Loki, Fluentd, ELK, OpenSearch)
- Enterprise services (Datadog, NewRelic, Splunk, Pagerduty)
- Startups (Lumigo)
03 What specific metrics will I see improved?
Business metrics:
- meeting Service Level Objectives (SLOs),
- improving Mean Time To Detect (MTTD) and Mean Time To Resolve (MTTR) KPI,
- ensuring compliance,
- getting enhanced dashboards based on data extracted from multiple data sources,
- driving continuous improvement by providing actionable insights derived from observability data,
- facilitating Data-Driven Decision Making (DDDM), informed choices related to infrastructure investments, and performance optimization.
- optimizing resource utilization on infrastructure and application level,/si
- identifying performance bottlenecks,
- detecting incidents early and mitigating them efficiently.
04 Do you have any data proving that the Observability Strategy has a good impact?
According to Splunk’s report “The State of Observability 2023” 64% report that their ROI has exceeded expectations — and among leaders, this number jumps to 86%.Companies that invest in observability notice:
- Accelerated development times: 59%
- Accelerated deployment times: 63%
- Increased visibility across cloud-native and traditional apps: 60%
- Accelerated problem detection: 59%
- Accelerated problem resolution: 65%
05 Does observability generate huge costs? I don’t have a massive budget.
We always take a unique approach to each customer, offering flexible and cost-effective options tailored to your budget and requirements. We aim always to provide value-driven solutions that optimize costs while maximizing insights.
06 Will I have a real failure detection system?
Yes. Our observability solution includes comprehensive failure detection mechanisms that monitor system health in real time. Our sophisticated algorithms and anomaly detection techniques identify and alert potential failures before they impact you.
07 How does observability correlate with scalability?
We leverage observability technologies to ensure your solution scales on the demand.
08 I need to monitor visibility in my app. Will observability help?
Yes. Customizable dashboards, detailed analytics, and real-time monitoring capabilities allow you to gain deep insights into your IT environment's performance, availability, and reliability. Our solution includes proactive monitoring and alerting features to help prevent downtime. We can identify and address potential issues by continuously monitoring key performance metrics and detecting anomalies.
09 Will you help me identify the performance bottlenecks?
By analyzing metrics, logs, and traces, we help you pinpoint the root causes of performance issues and optimize your systems for improved efficiency and reliability. We include advanced analytics and diagnostics tools that enable you to identify quickly.
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